diff --git a/.changeset/afraid-countries-crash.md b/.changeset/afraid-countries-crash.md
new file mode 100644
index 000000000000..9f92c69f606d
--- /dev/null
+++ b/.changeset/afraid-countries-crash.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/elevenlabs': patch
+---
+
+fix(elevenlabs): use camelCase fileFormat in provider options
diff --git a/.changeset/beige-drinks-punch.md b/.changeset/beige-drinks-punch.md
new file mode 100644
index 000000000000..7b24f7cc26f5
--- /dev/null
+++ b/.changeset/beige-drinks-punch.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat(ai): add provider and provider registry middleware functionality
diff --git a/.changeset/beige-vans-care.md b/.changeset/beige-vans-care.md
new file mode 100644
index 000000000000..b55e912320ac
--- /dev/null
+++ b/.changeset/beige-vans-care.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/mistral': patch
+---
+
+add Mistral Medium 3 model support
diff --git a/.changeset/bright-chefs-lick.md b/.changeset/bright-chefs-lick.md
new file mode 100644
index 000000000000..fdc96a65d00c
--- /dev/null
+++ b/.changeset/bright-chefs-lick.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): update model ids
diff --git a/.changeset/bright-lies-explode.md b/.changeset/bright-lies-explode.md
new file mode 100644
index 000000000000..bf60a32da13e
--- /dev/null
+++ b/.changeset/bright-lies-explode.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): Add OpenAI embedding support
diff --git a/.changeset/clever-moles-arrive.md b/.changeset/clever-moles-arrive.md
new file mode 100644
index 000000000000..1b98af09cdc5
--- /dev/null
+++ b/.changeset/clever-moles-arrive.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): export InferUIMessageChunk type
diff --git a/.changeset/clever-terms-lay.md b/.changeset/clever-terms-lay.md
new file mode 100644
index 000000000000..eea1c2e20710
--- /dev/null
+++ b/.changeset/clever-terms-lay.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat(cli): add ai command line interface
diff --git a/.changeset/cuddly-parrots-float.md b/.changeset/cuddly-parrots-float.md
new file mode 100644
index 000000000000..ee03e938f5b4
--- /dev/null
+++ b/.changeset/cuddly-parrots-float.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+Add API key authentication support for Amazon Bedrock with Bearer token and automatic SigV4 fallback
diff --git a/.changeset/cuddly-phones-smell.md b/.changeset/cuddly-phones-smell.md
new file mode 100644
index 000000000000..0750452b4942
--- /dev/null
+++ b/.changeset/cuddly-phones-smell.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+Allow destructuring output and errorText on `ToolUIPart` type
diff --git a/.changeset/cuddly-tigers-confess.md b/.changeset/cuddly-tigers-confess.md
new file mode 100644
index 000000000000..0d61014a2e95
--- /dev/null
+++ b/.changeset/cuddly-tigers-confess.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): add grok-4 model id
diff --git a/.changeset/curly-bats-build.md b/.changeset/curly-bats-build.md
new file mode 100644
index 000000000000..1d408c7ff271
--- /dev/null
+++ b/.changeset/curly-bats-build.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): support system parameter in Agent constructor
diff --git a/.changeset/curvy-cats-kneel.md b/.changeset/curvy-cats-kneel.md
new file mode 100644
index 000000000000..7dbdd5981688
--- /dev/null
+++ b/.changeset/curvy-cats-kneel.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): add ignoreIncompleteToolCalls option to convertToModelMessages
diff --git a/.changeset/cyan-insects-count.md b/.changeset/cyan-insects-count.md
new file mode 100644
index 000000000000..aeb1a73ad961
--- /dev/null
+++ b/.changeset/cyan-insects-count.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google': patch
+---
+
+Expose raw usageMetadata returned from Google Generative AI in providerMetadata
diff --git a/.changeset/cyan-rockets-beg.md b/.changeset/cyan-rockets-beg.md
new file mode 100644
index 000000000000..a1613997e712
--- /dev/null
+++ b/.changeset/cyan-rockets-beg.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): tool input can be undefined during input-streaming
diff --git a/.changeset/dull-grapes-remember.md b/.changeset/dull-grapes-remember.md
new file mode 100644
index 000000000000..bb1daa4aed40
--- /dev/null
+++ b/.changeset/dull-grapes-remember.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google-vertex': minor
+---
+
+Fixed global region for vertex provider
diff --git a/.changeset/dull-rabbits-tie.md b/.changeset/dull-rabbits-tie.md
new file mode 100644
index 000000000000..3b3a10253772
--- /dev/null
+++ b/.changeset/dull-rabbits-tie.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+chore (ai): rename text and reasoning chunks in streamText fullstream
diff --git a/.changeset/early-parrots-mix.md b/.changeset/early-parrots-mix.md
new file mode 100644
index 000000000000..c461e118acc3
--- /dev/null
+++ b/.changeset/early-parrots-mix.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google': patch
+---
+
+Added Image Models to the Google Provider for Imagen 3 Support
diff --git a/.changeset/eleven-ravens-brake.md b/.changeset/eleven-ravens-brake.md
new file mode 100644
index 000000000000..4e0eb53161c0
--- /dev/null
+++ b/.changeset/eleven-ravens-brake.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+Fix streaming and reconstruction of reasoning summary parts
diff --git a/.changeset/empty-schools-cheer.md b/.changeset/empty-schools-cheer.md
new file mode 100644
index 000000000000..291259938c24
--- /dev/null
+++ b/.changeset/empty-schools-cheer.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/vercel': patch
+---
+
+feat (provider/vercel): update chat model ids and examples
diff --git a/.changeset/famous-needles-fold.md b/.changeset/famous-needles-fold.md
new file mode 100644
index 000000000000..fd6b69e9825f
--- /dev/null
+++ b/.changeset/famous-needles-fold.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): infer tool call types in the `onToolCall` callback
diff --git a/.changeset/five-grapes-live.md b/.changeset/five-grapes-live.md
new file mode 100644
index 000000000000..847f295e3225
--- /dev/null
+++ b/.changeset/five-grapes-live.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): add readUIMessageStream helper
diff --git a/.changeset/flat-ants-draw.md b/.changeset/flat-ants-draw.md
new file mode 100644
index 000000000000..7755a466dc6f
--- /dev/null
+++ b/.changeset/flat-ants-draw.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): export mock image, speech, and transcription models
diff --git a/.changeset/flat-falcons-happen.md b/.changeset/flat-falcons-happen.md
new file mode 100644
index 000000000000..7852e6aff8d0
--- /dev/null
+++ b/.changeset/flat-falcons-happen.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): resolvable header, body, credentials in http chat transport
diff --git a/.changeset/fresh-dolphins-serve.md b/.changeset/fresh-dolphins-serve.md
new file mode 100644
index 000000000000..567b05c3ebcd
--- /dev/null
+++ b/.changeset/fresh-dolphins-serve.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): validate ui stream data chunks
diff --git a/.changeset/fresh-jeans-occur.md b/.changeset/fresh-jeans-occur.md
new file mode 100644
index 000000000000..9e2318c9f8f0
--- /dev/null
+++ b/.changeset/fresh-jeans-occur.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/react': patch
+---
+
+fix (ai/react): chat instance recreation in useChat
diff --git a/.changeset/fuzzy-goats-mate.md b/.changeset/fuzzy-goats-mate.md
new file mode 100644
index 000000000000..2dd4e86d806c
--- /dev/null
+++ b/.changeset/fuzzy-goats-mate.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): add experimental Agent abstraction
diff --git a/.changeset/gentle-hairs-study.md b/.changeset/gentle-hairs-study.md
new file mode 100644
index 000000000000..9ac56ee43c93
--- /dev/null
+++ b/.changeset/gentle-hairs-study.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (providers/gateway): include description and pricing info in model list
diff --git a/.changeset/giant-eyes-relax.md b/.changeset/giant-eyes-relax.md
new file mode 100644
index 000000000000..611ddb656cf9
--- /dev/null
+++ b/.changeset/giant-eyes-relax.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): add sendAutomaticallyWhen to Chat
diff --git a/.changeset/giant-ravens-reflect.md b/.changeset/giant-ravens-reflect.md
new file mode 100644
index 000000000000..8999ff0ab0d1
--- /dev/null
+++ b/.changeset/giant-ravens-reflect.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): inject generated response message id
diff --git a/.changeset/gold-weeks-turn.md b/.changeset/gold-weeks-turn.md
new file mode 100644
index 000000000000..fc789e2a8be2
--- /dev/null
+++ b/.changeset/gold-weeks-turn.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/anthropic': patch
+---
+
+fix(provider/anthropic): correct Claude 4 model ID format
diff --git a/.changeset/good-cycles-matter.md b/.changeset/good-cycles-matter.md
new file mode 100644
index 000000000000..b78484ffc3ae
--- /dev/null
+++ b/.changeset/good-cycles-matter.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+Add missing file_search tool support to OpenAI Responses API
diff --git a/.changeset/good-masks-itch.md b/.changeset/good-masks-itch.md
new file mode 100644
index 000000000000..b21bf3bf97fd
--- /dev/null
+++ b/.changeset/good-masks-itch.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/anthropic': patch
+---
+
+feat(provider/anthropic): add disable parallel tool use option
diff --git a/.changeset/good-steaks-serve.md b/.changeset/good-steaks-serve.md
new file mode 100644
index 000000000000..53dd08089d5d
--- /dev/null
+++ b/.changeset/good-steaks-serve.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+selectTelemetryAttributes more robustness
diff --git a/.changeset/good-trains-breathe.md b/.changeset/good-trains-breathe.md
new file mode 100644
index 000000000000..6fa7564d1c07
--- /dev/null
+++ b/.changeset/good-trains-breathe.md
@@ -0,0 +1,21 @@
+---
+'@ai-sdk/google': patch
+---
+
+embed() now uses the single embeddings endpoint
+No code updates are needed.
+
+This is to make sure that users are not ratelimited when using the batch endpoint, since many models have different limits for batch and single embeddings.
+
+Eg: Google has a limit of 150 RPM for batch requests, and 1500 RPM for single requests.
+
+Before, AI SDK would always use the batch endpoint, even for embed() calls, which led to ratelimits.
+
+This does not have any breaking functionality and is fully tested :)
+if (values.length > 1) {
+const batchResult = await this.doEmbedBatch({
+values,
+options,
+});
+return batchResult;
+}
diff --git a/.changeset/gorgeous-gifts-drop.md b/.changeset/gorgeous-gifts-drop.md
new file mode 100644
index 000000000000..fa52c455c6e2
--- /dev/null
+++ b/.changeset/gorgeous-gifts-drop.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/openai': patch
+'ai': patch
+---
+
+fix (provider/openai): multi-step reasoning with text
diff --git a/.changeset/grumpy-apples-cheat.md b/.changeset/grumpy-apples-cheat.md
new file mode 100644
index 000000000000..3bfd45ae9894
--- /dev/null
+++ b/.changeset/grumpy-apples-cheat.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): update Chat tool result submission
diff --git a/.changeset/healthy-snakes-glow.md b/.changeset/healthy-snakes-glow.md
new file mode 100644
index 000000000000..c4366e52b102
--- /dev/null
+++ b/.changeset/healthy-snakes-glow.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+fix(amazon-bedrock): add structured output support for claude models
diff --git a/.changeset/heavy-teachers-repeat.md b/.changeset/heavy-teachers-repeat.md
new file mode 100644
index 000000000000..e65ba39131a7
--- /dev/null
+++ b/.changeset/heavy-teachers-repeat.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+chore(ai): export AsyncIterableStream type from async-iterable-stream module
diff --git a/.changeset/hip-paws-fly.md b/.changeset/hip-paws-fly.md
new file mode 100644
index 000000000000..0915f49dd59a
--- /dev/null
+++ b/.changeset/hip-paws-fly.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/react': patch
+---
+
+fix message subscription out of sync when chat id changes after mount
diff --git a/.changeset/hungry-nails-return.md b/.changeset/hungry-nails-return.md
new file mode 100644
index 000000000000..0be4751b9499
--- /dev/null
+++ b/.changeset/hungry-nails-return.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ai): handle errors in 2nd streamText doStream call
diff --git a/.changeset/khaki-walls-train.md b/.changeset/khaki-walls-train.md
new file mode 100644
index 000000000000..8955a492ac7f
--- /dev/null
+++ b/.changeset/khaki-walls-train.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+fix(amazon-bedrock): handle empty activeTools with tool conversation history
diff --git a/.changeset/kind-icons-thank.md b/.changeset/kind-icons-thank.md
new file mode 100644
index 000000000000..9afc5114afc9
--- /dev/null
+++ b/.changeset/kind-icons-thank.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai-compatible': patch
+---
+
+allow any string as reasoningEffort
diff --git a/.changeset/late-socks-flash.md b/.changeset/late-socks-flash.md
new file mode 100644
index 000000000000..de18b860cff8
--- /dev/null
+++ b/.changeset/late-socks-flash.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat: ai sdk cli documentation + adjusted default model
diff --git a/.changeset/lazy-beans-marry.md b/.changeset/lazy-beans-marry.md
new file mode 100644
index 000000000000..42d531775e5b
--- /dev/null
+++ b/.changeset/lazy-beans-marry.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+feat(openai): add file_search filters and update field names
diff --git a/.changeset/lovely-boxes-scream.md b/.changeset/lovely-boxes-scream.md
new file mode 100644
index 000000000000..7c24e64f085e
--- /dev/null
+++ b/.changeset/lovely-boxes-scream.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+fix(openai): update file_search fields to match API changes
diff --git a/.changeset/many-jobs-explain.md b/.changeset/many-jobs-explain.md
new file mode 100644
index 000000000000..6a44afe5cd45
--- /dev/null
+++ b/.changeset/many-jobs-explain.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/codemod': patch
+---
+
+release AI SDK 5.0 codemods package
diff --git a/.changeset/metal-masks-wonder.md b/.changeset/metal-masks-wonder.md
new file mode 100644
index 000000000000..62ffb69cf072
--- /dev/null
+++ b/.changeset/metal-masks-wonder.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/provider-utils': patch
+'ai': patch
+---
+
+feat: allow zod 4.x as peer dependency
diff --git a/.changeset/mighty-spies-warn.md b/.changeset/mighty-spies-warn.md
new file mode 100644
index 000000000000..e837750161bf
--- /dev/null
+++ b/.changeset/mighty-spies-warn.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+Fix error thrown when emptying messages in onError or onFinish
diff --git a/.changeset/modern-grapes-glow.md b/.changeset/modern-grapes-glow.md
new file mode 100644
index 000000000000..7bcd08778c40
--- /dev/null
+++ b/.changeset/modern-grapes-glow.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): export Chat callback types
diff --git a/.changeset/modern-trains-reflect.md b/.changeset/modern-trains-reflect.md
new file mode 100644
index 000000000000..7624a3b04058
--- /dev/null
+++ b/.changeset/modern-trains-reflect.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/perplexity': major
+---
+
+feat(provider/perplexity): support image input
diff --git a/.changeset/nasty-avocados-sort.md b/.changeset/nasty-avocados-sort.md
new file mode 100644
index 000000000000..15d9925fb2bc
--- /dev/null
+++ b/.changeset/nasty-avocados-sort.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/angular': major
+---
+
+Add Angular support
diff --git a/.changeset/nasty-cows-care.md b/.changeset/nasty-cows-care.md
new file mode 100644
index 000000000000..bd9adab92e66
--- /dev/null
+++ b/.changeset/nasty-cows-care.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai/core): add terminateOnError option to readUIMessageStream
diff --git a/.changeset/nasty-eggs-learn.md b/.changeset/nasty-eggs-learn.md
new file mode 100644
index 000000000000..fad61446a03b
--- /dev/null
+++ b/.changeset/nasty-eggs-learn.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/groq': patch
+---
+
+feat: add kimi k2 model via groq
diff --git a/.changeset/nasty-queens-play.md b/.changeset/nasty-queens-play.md
new file mode 100644
index 000000000000..0a5c0426f251
--- /dev/null
+++ b/.changeset/nasty-queens-play.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/xai': patch
+---
+
+fix (provider/grok): filter duplicated reasoning chunks
diff --git a/.changeset/neat-frogs-shop.md b/.changeset/neat-frogs-shop.md
new file mode 100644
index 000000000000..a978b5da5e94
--- /dev/null
+++ b/.changeset/neat-frogs-shop.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai-compatible': patch
+---
+
+Add (optional) includeUsage option to createOpenAICompatible
diff --git a/.changeset/new-rats-fly.md b/.changeset/new-rats-fly.md
new file mode 100644
index 000000000000..b7036723e447
--- /dev/null
+++ b/.changeset/new-rats-fly.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): add qwen3 coder model id
diff --git a/.changeset/nice-dogs-flow.md b/.changeset/nice-dogs-flow.md
new file mode 100644
index 000000000000..cb9e0f4402c8
--- /dev/null
+++ b/.changeset/nice-dogs-flow.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): step input message modification in prepareStep
diff --git a/.changeset/nice-jars-film.md b/.changeset/nice-jars-film.md
new file mode 100644
index 000000000000..3d497d32ec84
--- /dev/null
+++ b/.changeset/nice-jars-film.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/codemod': patch
+---
+
+feat(codemods): added v4→v5 migration codemods
diff --git a/.changeset/ninety-seahorses-fetch.md b/.changeset/ninety-seahorses-fetch.md
new file mode 100644
index 000000000000..2661361d3659
--- /dev/null
+++ b/.changeset/ninety-seahorses-fetch.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): add onData callback to Chat
diff --git a/.changeset/old-yaks-pull.md b/.changeset/old-yaks-pull.md
new file mode 100644
index 000000000000..e2386699e9a3
--- /dev/null
+++ b/.changeset/old-yaks-pull.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/azure': patch
+---
+
+update: Azure OpenAI provider to v1 API format
diff --git a/.changeset/orange-clocks-type.md b/.changeset/orange-clocks-type.md
new file mode 100644
index 000000000000..1200f40359c8
--- /dev/null
+++ b/.changeset/orange-clocks-type.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google': patch
+---
+
+Add Gemini 2.5 Flash Lite GA
diff --git a/.changeset/perfect-bottles-ring.md b/.changeset/perfect-bottles-ring.md
new file mode 100644
index 000000000000..86ddd053cdc7
--- /dev/null
+++ b/.changeset/perfect-bottles-ring.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+chore(ai): bundle dependencies in CLI binary
diff --git a/.changeset/perfect-deers-work.md b/.changeset/perfect-deers-work.md
new file mode 100644
index 000000000000..40bbdde50ef8
--- /dev/null
+++ b/.changeset/perfect-deers-work.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+fix (provider/openai): correct default for chat model strict mode
diff --git a/.changeset/poor-walls-arrive.md b/.changeset/poor-walls-arrive.md
new file mode 100644
index 000000000000..07fa78d2d50c
--- /dev/null
+++ b/.changeset/poor-walls-arrive.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/xai': patch
+---
+
+feat (provider/xai): export XaiProviderOptions
diff --git a/.changeset/pre.json b/.changeset/pre.json
index 558bd73fd635..86ccddf34806 100644
--- a/.changeset/pre.json
+++ b/.changeset/pre.json
@@ -65,9 +65,12 @@
     "analyze-downloads": "0.0.0",
     "eslint-config-vercel-ai": "0.0.0",
     "generate-llms-txt": "0.0.0",
-    "@vercel/ai-tsconfig": "0.0.0"
+    "@vercel/ai-tsconfig": "0.0.0",
+    "@example/angular": "0.0.0",
+    "@ai-sdk/angular": "0.2.1"
   },
   "changesets": [
+    "afraid-countries-crash",
     "afraid-moles-cross",
     "angry-crabs-develop",
     "angry-dragons-tan",
@@ -75,13 +78,17 @@
     "angry-plants-sin",
     "angry-poems-learn",
     "angry-timers-drive",
+    "beige-drinks-punch",
     "beige-ligers-kneel",
     "beige-penguins-greet",
     "beige-socks-stare",
+    "beige-vans-care",
     "big-impalas-grin",
     "big-panthers-judge",
     "brave-mails-taste",
     "brave-numbers-drive",
+    "bright-chefs-lick",
+    "bright-lies-explode",
     "bright-readers-breathe",
     "bright-turtles-give",
     "brown-eagles-tickle",
@@ -103,6 +110,8 @@
     "clever-coats-invite",
     "clever-games-report",
     "clever-mangos-tease",
+    "clever-moles-arrive",
+    "clever-terms-lay",
     "cold-bags-move",
     "cold-clocks-learn",
     "cool-buckets-shout",
@@ -112,15 +121,25 @@
     "cuddly-eels-perform",
     "cuddly-icons-kick",
     "cuddly-kangaroos-double",
+    "cuddly-parrots-float",
+    "cuddly-phones-smell",
+    "cuddly-tigers-confess",
+    "curly-bats-build",
     "curly-peaches-clap",
+    "curvy-cats-kneel",
     "curvy-lobsters-share",
     "curvy-sloths-impress",
+    "cyan-insects-count",
+    "cyan-rockets-beg",
     "cyan-scissors-applaud",
     "dirty-dolphins-march",
     "dirty-eggs-breathe",
     "dirty-mice-knock",
     "dull-candles-trade",
+    "dull-grapes-remember",
     "dull-points-mate",
+    "dull-rabbits-tie",
+    "early-parrots-mix",
     "eight-emus-push",
     "eight-months-sip",
     "eighty-flowers-design",
@@ -129,9 +148,11 @@
     "eighty-seals-search",
     "eleven-lobsters-rescue",
     "eleven-pets-clean",
+    "eleven-ravens-brake",
     "empty-fireants-learn",
     "empty-flowers-sniff",
     "empty-pets-jump",
+    "empty-schools-cheer",
     "empty-walls-rest",
     "fair-bikes-hear",
     "fair-cobras-tan",
@@ -139,6 +160,7 @@
     "fair-swans-kneel",
     "famous-eggs-camp",
     "famous-fans-provide",
+    "famous-needles-fold",
     "famous-peas-arrive",
     "famous-shrimps-fail",
     "famous-ties-train",
@@ -149,13 +171,18 @@
     "few-pianos-pay",
     "fifty-camels-visit",
     "fifty-shrimps-kick",
+    "five-grapes-live",
     "five-ravens-hammer",
     "fix-env-mutation",
+    "flat-ants-draw",
+    "flat-falcons-happen",
     "flat-plums-bake",
     "fluffy-pets-pump",
     "forty-kangaroos-pull",
     "four-gorillas-sell",
+    "fresh-dolphins-serve",
     "fresh-forks-punch",
+    "fresh-jeans-occur",
     "fresh-otters-chew",
     "fresh-swans-march",
     "friendly-otters-sneeze",
@@ -163,15 +190,25 @@
     "funny-mayflies-yawn",
     "fuzzy-actors-sneeze",
     "fuzzy-comics-listen",
+    "fuzzy-goats-mate",
     "fuzzy-lies-explain",
     "fuzzy-shoes-act",
     "gentle-gorillas-mate",
+    "gentle-hairs-study",
     "gentle-mayflies-call",
     "gentle-toys-smile",
+    "giant-eyes-relax",
+    "giant-ravens-reflect",
     "gold-planes-cheer",
+    "gold-weeks-turn",
+    "good-cycles-matter",
+    "good-masks-itch",
+    "good-steaks-serve",
     "good-students-sin",
     "good-swans-heal",
+    "good-trains-breathe",
     "gorgeous-carrots-reflect",
+    "gorgeous-gifts-drop",
     "great-hats-hide",
     "great-mangos-scream",
     "great-poets-attack",
@@ -180,14 +217,18 @@
     "green-grapes-rhyme",
     "green-olives-hope",
     "green-pots-collect",
+    "grumpy-apples-cheat",
     "happy-ads-happen",
     "happy-countries-dream",
     "happy-kangaroos-roll",
     "healthy-humans-burn",
+    "healthy-snakes-glow",
     "heavy-ducks-join",
     "heavy-ligers-lay",
     "heavy-pens-destroy",
+    "heavy-teachers-repeat",
     "hip-eagles-attend",
+    "hip-paws-fly",
     "hip-rocks-mix",
     "hot-colts-hear",
     "hot-singers-help",
@@ -196,6 +237,7 @@
     "hungry-frogs-eat",
     "hungry-frogs-raise",
     "hungry-hotels-hunt",
+    "hungry-nails-return",
     "hungry-pets-hear",
     "hungry-trains-compete",
     "hungry-zebras-applaud",
@@ -207,10 +249,13 @@
     "khaki-crabs-reply",
     "khaki-sheep-sparkle",
     "khaki-tomatoes-think",
+    "kind-icons-thank",
     "large-peas-eat",
     "large-ties-own",
     "late-brooms-suffer",
     "late-foxes-battle",
+    "late-socks-flash",
+    "lazy-beans-marry",
     "lazy-ducks-cheat",
     "lemon-actors-invite",
     "lemon-terms-hug",
@@ -223,25 +268,39 @@
     "little-tips-occur",
     "little-zebras-suffer",
     "long-dancers-wait",
+    "lovely-boxes-scream",
     "lovely-chicken-speak",
     "lovely-garlics-promise",
     "many-beans-exercise",
+    "many-jobs-explain",
     "many-toes-glow",
     "mean-files-talk",
     "mean-monkeys-sip",
     "mean-rice-deny",
     "metal-insects-tease",
+    "metal-masks-wonder",
     "mighty-rats-jog",
+    "mighty-spies-warn",
+    "modern-grapes-glow",
     "modern-kings-smoke",
+    "modern-trains-reflect",
     "moody-rings-remember",
     "moody-yaks-love",
+    "nasty-avocados-sort",
+    "nasty-cows-care",
+    "nasty-eggs-learn",
     "nasty-lobsters-shave",
+    "nasty-queens-play",
     "nasty-spiders-sparkle",
     "nasty-trains-beg",
+    "neat-frogs-shop",
     "neat-pillows-occur",
     "nervous-maps-fix",
     "new-pens-remain",
+    "new-rats-fly",
     "new-vans-obey",
+    "nice-dogs-flow",
+    "nice-jars-film",
     "nice-tips-walk",
     "nine-falcons-yell",
     "nine-jars-hammer",
@@ -249,14 +308,19 @@
     "nine-rivers-compete",
     "ninety-buses-bake",
     "ninety-cameras-wonder",
+    "ninety-seahorses-fetch",
     "odd-peaches-beam",
     "odd-tables-cross",
     "odd-vans-suffer",
     "old-moons-kiss",
+    "old-yaks-pull",
     "olive-candles-compare",
     "olive-ducks-carry",
     "olive-wombats-pretend",
     "orange-bags-stare",
+    "orange-clocks-type",
+    "perfect-bottles-ring",
+    "perfect-deers-work",
     "pink-deers-switch",
     "pink-mangos-tickle",
     "plenty-bears-run",
@@ -265,9 +329,11 @@
     "poor-bees-do",
     "poor-bobcats-sort",
     "poor-kids-lick",
+    "poor-walls-arrive",
     "popular-plums-begin",
     "pretty-bikes-appear",
     "pretty-doors-promise",
+    "pretty-houses-whisper",
     "pretty-jars-reflect",
     "pretty-plants-watch",
     "pretty-pugs-eat",
@@ -276,27 +342,40 @@
     "proud-dancers-doubt",
     "purple-dodos-burn",
     "purple-rocks-cover",
+    "quick-grapes-walk",
     "quick-toys-help",
     "quiet-glasses-double",
+    "quiet-peas-end",
     "rare-foxes-build",
     "rare-foxes-rest",
+    "rare-hairs-type",
     "real-apes-lick",
+    "real-bags-tickle",
     "real-fireants-smell",
+    "real-games-chew",
+    "real-kiwis-collect",
+    "red-berries-report",
     "red-frogs-cheer",
     "red-worms-help",
     "rich-days-call",
     "rich-frogs-walk",
+    "rotten-birds-promise",
     "rotten-boats-doubt",
     "rotten-peaches-doubt",
     "rotten-tomatoes-smoke",
     "rotten-walls-provide",
     "rude-badgers-roll",
+    "rude-beers-remain",
     "rude-bugs-run",
+    "rude-jobs-occur",
     "rude-rivers-hide",
+    "selfish-cups-provide",
+    "selfish-masks-jog",
     "selfish-rice-own",
     "selfish-wasps-applaud",
     "serious-clouds-cheer",
     "serious-numbers-teach",
+    "serious-ravens-stare",
     "serious-taxis-invent",
     "serious-trains-raise",
     "seven-beans-push",
@@ -307,6 +386,8 @@
     "seven-tools-type",
     "shaggy-experts-warn",
     "shaggy-singers-promise",
+    "shaggy-tips-crash",
+    "shaggy-toes-watch",
     "sharp-apes-tickle",
     "sharp-mangos-relate",
     "sharp-ties-kneel",
@@ -315,14 +396,21 @@
     "shiny-parents-know",
     "shy-hotels-allow",
     "shy-lamps-visit",
+    "shy-plants-serve",
     "silent-nails-taste",
     "silent-paws-decide",
+    "silly-brooms-thank",
+    "silver-laws-play",
     "silver-vans-march",
     "six-garlics-sin",
     "six-guests-sleep",
     "six-moose-know",
     "six-olives-rest",
+    "six-shrimps-attack",
+    "slimy-apples-film",
     "slimy-chefs-play",
+    "slimy-feet-fail",
+    "slimy-kangaroos-sort",
     "slow-donuts-study",
     "slow-laws-end",
     "slow-pants-buy",
@@ -330,23 +418,32 @@
     "slow-windows-ring",
     "small-deers-cover",
     "small-files-pump",
+    "small-flies-greet",
     "smart-keys-check",
     "smart-llamas-itch",
+    "smart-singers-remain",
     "smart-swans-drive",
+    "smooth-bikes-trade",
     "smooth-carpets-bathe",
     "smooth-mirrors-kneel",
+    "soft-forks-poke",
     "sour-bananas-remain",
     "sour-mails-cheer",
+    "sour-mails-clap",
     "sour-papayas-end",
     "sour-radios-boil",
     "sour-rockets-greet",
+    "sour-scissors-teach",
+    "sour-snails-admire",
     "sour-trains-remember",
     "spicy-bats-impress",
     "spicy-bears-kick",
     "spicy-mangos-brush",
     "spicy-shoes-matter",
+    "spotty-apples-call",
     "spotty-countries-appear",
     "spotty-dolls-divide",
+    "spotty-feet-share",
     "spotty-goats-confess",
     "spotty-swans-know",
     "stale-bats-prove",
@@ -356,10 +453,14 @@
     "strange-apricots-enjoy",
     "strange-camels-decide",
     "strange-flies-remember",
+    "strange-maps-compete",
     "strong-readers-notice",
     "strong-windows-wave",
     "stupid-pots-laugh",
+    "stupid-wasps-pump",
+    "sweet-flowers-smash",
     "sweet-lobsters-type",
+    "sweet-olives-rescue",
     "sweet-turtles-kiss",
     "swift-countries-applaud",
     "swift-geckos-joke",
@@ -369,11 +470,15 @@
     "tall-deers-obey",
     "tall-garlics-sit",
     "tall-rice-flash",
+    "tall-sheep-hammer",
     "tame-doors-hammer",
     "tasty-starfishes-swim",
     "ten-ligers-turn",
     "ten-masks-run",
     "ten-students-yell",
+    "ten-windows-serve",
+    "ten-zebras-speak",
+    "tender-ads-drop",
     "tender-buses-glow",
     "tender-comics-rescue",
     "tender-lizards-switch",
@@ -383,11 +488,18 @@
     "thick-parents-grab",
     "thin-items-knock",
     "thin-numbers-shave",
+    "thin-zoos-type",
+    "thirty-hornets-thank",
+    "three-fishes-applaud",
     "three-jars-fix",
     "three-pans-move",
+    "tidy-sheep-grin",
     "tiny-deers-kick",
+    "tiny-seals-flash",
     "tough-islands-sniff",
+    "tough-mirrors-peel",
     "tough-mugs-fail",
+    "tough-pugs-drive",
     "tough-suns-eat",
     "tough-suns-learn",
     "tricky-baboons-switch",
@@ -419,15 +531,21 @@
     "wet-trainers-vanish",
     "wicked-flowers-study",
     "wicked-snakes-march",
+    "wild-beans-help",
     "wild-candles-judge",
     "wild-cats-work",
+    "wild-hairs-hide",
     "wild-pugs-burn",
+    "wild-tables-enjoy",
     "wise-gorillas-act",
+    "wise-headers-respect",
     "witty-candles-pretend",
     "yellow-chefs-kick",
     "yellow-eels-sort",
     "yellow-ligers-brake",
     "young-dingos-march",
-    "young-dragons-run"
+    "young-dolls-yell",
+    "young-dragons-run",
+    "young-sheep-roll"
   ]
 }
diff --git a/.changeset/pretty-houses-whisper.md b/.changeset/pretty-houses-whisper.md
new file mode 100644
index 000000000000..66b52cbacfda
--- /dev/null
+++ b/.changeset/pretty-houses-whisper.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/provider-utils': patch
+'@ai-sdk/svelte': patch
+---
+
+Add clear object function to StructuredObject
diff --git a/.changeset/pretty-seals-type.md b/.changeset/pretty-seals-type.md
new file mode 100644
index 000000000000..b33ecbee1ebb
--- /dev/null
+++ b/.changeset/pretty-seals-type.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/anthropic': patch
+---
+
+Add raw Anthropic usage information to provider metadata
diff --git a/.changeset/quick-grapes-walk.md b/.changeset/quick-grapes-walk.md
new file mode 100644
index 000000000000..b00718bf0d37
--- /dev/null
+++ b/.changeset/quick-grapes-walk.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/openai': patch
+'ai': patch
+---
+
+fix (provider/openai): multi-step reasoning with tool calls
diff --git a/.changeset/quiet-peas-end.md b/.changeset/quiet-peas-end.md
new file mode 100644
index 000000000000..99446cee803f
--- /dev/null
+++ b/.changeset/quiet-peas-end.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): transient data parts
diff --git a/.changeset/rare-hairs-type.md b/.changeset/rare-hairs-type.md
new file mode 100644
index 000000000000..57cd574dd986
--- /dev/null
+++ b/.changeset/rare-hairs-type.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): tool part metadata support in ui messages
diff --git a/.changeset/real-bags-tickle.md b/.changeset/real-bags-tickle.md
new file mode 100644
index 000000000000..000d47cd6f6a
--- /dev/null
+++ b/.changeset/real-bags-tickle.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fixed date formatting for updated mcp protocol version
diff --git a/.changeset/real-games-chew.md b/.changeset/real-games-chew.md
new file mode 100644
index 000000000000..060f983be3eb
--- /dev/null
+++ b/.changeset/real-games-chew.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): update model ids to include vercel
diff --git a/.changeset/real-kiwis-collect.md b/.changeset/real-kiwis-collect.md
new file mode 100644
index 000000000000..5fe9e4486af4
--- /dev/null
+++ b/.changeset/real-kiwis-collect.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix(ai-cli): fix bundling and improve authentication error handling
diff --git a/.changeset/red-berries-report.md b/.changeset/red-berries-report.md
new file mode 100644
index 000000000000..6637246a97ee
--- /dev/null
+++ b/.changeset/red-berries-report.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+feat (provider/openai): add support for encrypted_reasoning to responses api
diff --git a/.changeset/rotten-birds-promise.md b/.changeset/rotten-birds-promise.md
new file mode 100644
index 000000000000..4939c155b8a4
--- /dev/null
+++ b/.changeset/rotten-birds-promise.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+update mcp protocol version
diff --git a/.changeset/rude-beers-remain.md b/.changeset/rude-beers-remain.md
new file mode 100644
index 000000000000..df256cf66734
--- /dev/null
+++ b/.changeset/rude-beers-remain.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+Do not warn if empty text is the first part of a reasoning sequence
diff --git a/.changeset/rude-jobs-occur.md b/.changeset/rude-jobs-occur.md
new file mode 100644
index 000000000000..7c68452b994a
--- /dev/null
+++ b/.changeset/rude-jobs-occur.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/angular': patch
+'@ai-sdk/react': patch
+---
+
+Add clear object function to React and Angular packages
diff --git a/.changeset/selfish-cups-provide.md b/.changeset/selfish-cups-provide.md
new file mode 100644
index 000000000000..b7eeb3b01d44
--- /dev/null
+++ b/.changeset/selfish-cups-provide.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+fix (provider/openai): push first reasoning chunk in output item added event
diff --git a/.changeset/selfish-masks-jog.md b/.changeset/selfish-masks-jog.md
new file mode 100644
index 000000000000..80cdaa8cf339
--- /dev/null
+++ b/.changeset/selfish-masks-jog.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+Expose provider metadata as an attribute on exported OTEL spans
diff --git a/.changeset/serious-ravens-stare.md b/.changeset/serious-ravens-stare.md
new file mode 100644
index 000000000000..3dfd8b66f474
--- /dev/null
+++ b/.changeset/serious-ravens-stare.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat(ai): Record tool call errors on tool call spans recorded in `generateText` and `streamText`.
diff --git a/.changeset/shaggy-tips-crash.md b/.changeset/shaggy-tips-crash.md
new file mode 100644
index 000000000000..35e27dbd3bbf
--- /dev/null
+++ b/.changeset/shaggy-tips-crash.md
@@ -0,0 +1,8 @@
+---
+'@ai-sdk/google': patch
+---
+
+feat (provider/google): Change to provider defined tools
+
+- Change the google search tool to be a provider defined tool
+- Added new URL context tool as a provider defined tool
diff --git a/.changeset/shaggy-toes-watch.md b/.changeset/shaggy-toes-watch.md
new file mode 100644
index 000000000000..19f8336fe218
--- /dev/null
+++ b/.changeset/shaggy-toes-watch.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+Fixes "Extra inputs are not permitted" error when using reasoning with Bedrock
diff --git a/.changeset/shy-plants-serve.md b/.changeset/shy-plants-serve.md
new file mode 100644
index 000000000000..72ff39635e39
--- /dev/null
+++ b/.changeset/shy-plants-serve.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/anthropic': patch
+---
+
+feat(anthropic): add text_editor_20250429 tool for Claude 4 models
diff --git a/.changeset/silly-brooms-thank.md b/.changeset/silly-brooms-thank.md
new file mode 100644
index 000000000000..cd26a11b5de4
--- /dev/null
+++ b/.changeset/silly-brooms-thank.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): add InferUITools helper
diff --git a/.changeset/silver-laws-play.md b/.changeset/silver-laws-play.md
new file mode 100644
index 000000000000..5c8331b8eeba
--- /dev/null
+++ b/.changeset/silver-laws-play.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ai): throw error for v1 models
diff --git a/.changeset/six-shrimps-attack.md b/.changeset/six-shrimps-attack.md
new file mode 100644
index 000000000000..085873b161ad
--- /dev/null
+++ b/.changeset/six-shrimps-attack.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/codemod': patch
+---
+
+fix(codemod): correct import-LanguageModelV2-from-provider-package direction and quote preservation
diff --git a/.changeset/slimy-apples-film.md b/.changeset/slimy-apples-film.md
new file mode 100644
index 000000000000..c0add8acff4a
--- /dev/null
+++ b/.changeset/slimy-apples-film.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/groq': patch
+---
+
+feat(provider/groq): add structured outputs support
diff --git a/.changeset/slimy-feet-fail.md b/.changeset/slimy-feet-fail.md
new file mode 100644
index 000000000000..cbc0ea5dcb96
--- /dev/null
+++ b/.changeset/slimy-feet-fail.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+feat(provider/openai): add missing reasoning models to responses API
diff --git a/.changeset/slimy-kangaroos-sort.md b/.changeset/slimy-kangaroos-sort.md
new file mode 100644
index 000000000000..e4e6895b97bb
--- /dev/null
+++ b/.changeset/slimy-kangaroos-sort.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/xai': patch
+---
+
+feat (provider/xai): add grok-4 model id
diff --git a/.changeset/small-flies-greet.md b/.changeset/small-flies-greet.md
new file mode 100644
index 000000000000..b63d52860929
--- /dev/null
+++ b/.changeset/small-flies-greet.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): make streamText toUIMessageStream async iterable
diff --git a/.changeset/smart-singers-remain.md b/.changeset/smart-singers-remain.md
new file mode 100644
index 000000000000..75fcbf2f3b32
--- /dev/null
+++ b/.changeset/smart-singers-remain.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): text message metadata support in ui messages
diff --git a/.changeset/smooth-bikes-trade.md b/.changeset/smooth-bikes-trade.md
new file mode 100644
index 000000000000..f6037f76a43d
--- /dev/null
+++ b/.changeset/smooth-bikes-trade.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/anthropic': patch
+---
+
+fix (providers/anthropic): remove fine grained tool streaming beta
diff --git a/.changeset/soft-forks-poke.md b/.changeset/soft-forks-poke.md
new file mode 100644
index 000000000000..a3b2910cdbf5
--- /dev/null
+++ b/.changeset/soft-forks-poke.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+chore (provider/openai): standardize on itemId in provider metadata
diff --git a/.changeset/sour-mails-clap.md b/.changeset/sour-mails-clap.md
new file mode 100644
index 000000000000..ceae54368301
--- /dev/null
+++ b/.changeset/sour-mails-clap.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/provider-utils': patch
+---
+
+Adds support for async zod validators
diff --git a/.changeset/sour-scissors-teach.md b/.changeset/sour-scissors-teach.md
new file mode 100644
index 000000000000..dc6c765873e5
--- /dev/null
+++ b/.changeset/sour-scissors-teach.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): add streamText onAbort callback
diff --git a/.changeset/sour-snails-admire.md b/.changeset/sour-snails-admire.md
new file mode 100644
index 000000000000..c9b4d86ea094
--- /dev/null
+++ b/.changeset/sour-snails-admire.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+fix (provider/gateway): use zod v4
diff --git a/.changeset/spotty-apples-call.md b/.changeset/spotty-apples-call.md
new file mode 100644
index 000000000000..911896c0d95c
--- /dev/null
+++ b/.changeset/spotty-apples-call.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix(ai): Unexpected reasoning-start event in extract reasoning middleware
diff --git a/.changeset/spotty-feet-share.md b/.changeset/spotty-feet-share.md
new file mode 100644
index 000000000000..d641eb3087dc
--- /dev/null
+++ b/.changeset/spotty-feet-share.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ai): use correct generateMessageId in streamText toUIMessageStream
diff --git a/.changeset/strange-maps-compete.md b/.changeset/strange-maps-compete.md
new file mode 100644
index 000000000000..aaed5da8f2c5
--- /dev/null
+++ b/.changeset/strange-maps-compete.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): add devstral model id
diff --git a/.changeset/stupid-wasps-pump.md b/.changeset/stupid-wasps-pump.md
new file mode 100644
index 000000000000..b5de877dd14e
--- /dev/null
+++ b/.changeset/stupid-wasps-pump.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+feat (provider/gateway): Add AI Gateway provider options (ordering)
diff --git a/.changeset/sweet-flowers-smash.md b/.changeset/sweet-flowers-smash.md
new file mode 100644
index 000000000000..32c65c0ea79d
--- /dev/null
+++ b/.changeset/sweet-flowers-smash.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+fix (provider/openai): handle responses api errors
diff --git a/.changeset/sweet-olives-rescue.md b/.changeset/sweet-olives-rescue.md
new file mode 100644
index 000000000000..0afd35bf16c2
--- /dev/null
+++ b/.changeset/sweet-olives-rescue.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai-compatible': patch
+---
+
+feat (provider/openai-compatible): allow providers that do not specify function type
diff --git a/.changeset/swift-insects-think.md b/.changeset/swift-insects-think.md
new file mode 100644
index 000000000000..7db194202f62
--- /dev/null
+++ b/.changeset/swift-insects-think.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix(ai): add support for MCP protocol version 2025-06-18
diff --git a/.changeset/tall-sheep-hammer.md b/.changeset/tall-sheep-hammer.md
new file mode 100644
index 000000000000..32a6f28abf76
--- /dev/null
+++ b/.changeset/tall-sheep-hammer.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): call sendAutomaticallyWhen with updated messages
diff --git a/.changeset/ten-windows-serve.md b/.changeset/ten-windows-serve.md
new file mode 100644
index 000000000000..27e4710205b2
--- /dev/null
+++ b/.changeset/ten-windows-serve.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): support tool names with dash
diff --git a/.changeset/ten-zebras-speak.md b/.changeset/ten-zebras-speak.md
new file mode 100644
index 000000000000..d7be0606ceae
--- /dev/null
+++ b/.changeset/ten-zebras-speak.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/codemod': patch
+---
+
+v5 - AI SDK 5.0 codemods package
diff --git a/.changeset/tender-ads-drop.md b/.changeset/tender-ads-drop.md
new file mode 100644
index 000000000000..b6f58c552a5d
--- /dev/null
+++ b/.changeset/tender-ads-drop.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ai): export SourceDocumentUIPart
diff --git a/.changeset/thin-zoos-type.md b/.changeset/thin-zoos-type.md
new file mode 100644
index 000000000000..bdde003c4728
--- /dev/null
+++ b/.changeset/thin-zoos-type.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/react': patch
+---
+
+fix(react): stabilize setMessages in useChat
diff --git a/.changeset/thirty-hornets-thank.md b/.changeset/thirty-hornets-thank.md
new file mode 100644
index 000000000000..69d3ef336f2d
--- /dev/null
+++ b/.changeset/thirty-hornets-thank.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google': patch
+---
+
+fix(google): grounding streaming sources
diff --git a/.changeset/three-fishes-applaud.md b/.changeset/three-fishes-applaud.md
new file mode 100644
index 000000000000..2956eee17821
--- /dev/null
+++ b/.changeset/three-fishes-applaud.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+fix(provider/bedrock): include toolConfig when conversation contains tool content
diff --git a/.changeset/tidy-sheep-grin.md b/.changeset/tidy-sheep-grin.md
new file mode 100644
index 000000000000..00efe8eb73f8
--- /dev/null
+++ b/.changeset/tidy-sheep-grin.md
@@ -0,0 +1,39 @@
+---
+'@ai-sdk/openai-compatible': patch
+'@ai-sdk/amazon-bedrock': patch
+'@ai-sdk/provider-utils': patch
+'@ai-sdk/google-vertex': patch
+'@ai-sdk/assemblyai': patch
+'@ai-sdk/elevenlabs': patch
+'@ai-sdk/perplexity': patch
+'@ai-sdk/togetherai': patch
+'@ai-sdk/anthropic': patch
+'@ai-sdk/deepinfra': patch
+'@ai-sdk/fireworks': patch
+'@ai-sdk/replicate': patch
+'@ai-sdk/cerebras': patch
+'@ai-sdk/deepgram': patch
+'@ai-sdk/deepseek': patch
+'@ai-sdk/angular': patch
+'@ai-sdk/gateway': patch
+'@ai-sdk/mistral': patch
+'@ai-sdk/cohere': patch
+'@ai-sdk/gladia': patch
+'@ai-sdk/google': patch
+'@ai-sdk/openai': patch
+'@ai-sdk/svelte': patch
+'@ai-sdk/vercel': patch
+'@ai-sdk/azure': patch
+'@ai-sdk/react': patch
+'@ai-sdk/revai': patch
+'@ai-sdk/groq': patch
+'@ai-sdk/hume': patch
+'@ai-sdk/lmnt': patch
+'@ai-sdk/luma': patch
+'@ai-sdk/fal': patch
+'@ai-sdk/rsc': patch
+'@ai-sdk/xai': patch
+'ai': patch
+---
+
+fix: improve Zod compatibility
diff --git a/.changeset/tiny-seals-flash.md b/.changeset/tiny-seals-flash.md
new file mode 100644
index 000000000000..534f336fdf81
--- /dev/null
+++ b/.changeset/tiny-seals-flash.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+feat (ui): allow asynchronous onFinish in createUIMessageStream
diff --git a/.changeset/tough-mirrors-peel.md b/.changeset/tough-mirrors-peel.md
new file mode 100644
index 000000000000..40a362be3d50
--- /dev/null
+++ b/.changeset/tough-mirrors-peel.md
@@ -0,0 +1,5 @@
+---
+'ai': patch
+---
+
+fix (ui): do not send changing assistant message ids when onFinish is provided
diff --git a/.changeset/tough-pugs-drive.md b/.changeset/tough-pugs-drive.md
new file mode 100644
index 000000000000..09d554f1e361
--- /dev/null
+++ b/.changeset/tough-pugs-drive.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/gateway': patch
+---
+
+fix (provider/gateway): remove unnecessary 'x-' prefix on auth method header
diff --git a/.changeset/wild-beans-help.md b/.changeset/wild-beans-help.md
new file mode 100644
index 000000000000..11ce4611e0c3
--- /dev/null
+++ b/.changeset/wild-beans-help.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/anthropic': patch
+'ai': patch
+---
+
+feat (provider/anthropic): cache control for tools
diff --git a/.changeset/wild-hairs-hide.md b/.changeset/wild-hairs-hide.md
new file mode 100644
index 000000000000..9a33702fcdf7
--- /dev/null
+++ b/.changeset/wild-hairs-hide.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/amazon-bedrock': patch
+---
+
+Add style parameter support for Amazon Bedrock Nova Canvas image generation
diff --git a/.changeset/wild-tables-enjoy.md b/.changeset/wild-tables-enjoy.md
new file mode 100644
index 000000000000..24aecce46bd8
--- /dev/null
+++ b/.changeset/wild-tables-enjoy.md
@@ -0,0 +1,6 @@
+---
+'@ai-sdk/provider-utils': patch
+'ai': patch
+---
+
+feat (ai): add isAborted to onFinish callback for ui message streams
diff --git a/.changeset/wise-headers-respect.md b/.changeset/wise-headers-respect.md
new file mode 100644
index 000000000000..214cb6b414f9
--- /dev/null
+++ b/.changeset/wise-headers-respect.md
@@ -0,0 +1,7 @@
+---
+'ai': patch
+---
+
+feat: automatically respect rate limit headers in retry logic
+
+Added automatic support for respecting rate limit headers (`retry-after-ms` and `retry-after`) in the SDK's retry logic. When these headers are present and contain reasonable values (0-60 seconds), the retry mechanism will use the server-specified delay instead of exponential backoff. This matches the behavior of Anthropic and OpenAI client SDKs and improves rate limit handling without requiring any API changes.
diff --git a/.changeset/young-dolls-yell.md b/.changeset/young-dolls-yell.md
new file mode 100644
index 000000000000..27f316164886
--- /dev/null
+++ b/.changeset/young-dolls-yell.md
@@ -0,0 +1,5 @@
+---
+'ai': major
+---
+
+chore (ai): rename UIMessageStreamPart to UIMessageChunk
diff --git a/.changeset/young-sheep-roll.md b/.changeset/young-sheep-roll.md
new file mode 100644
index 000000000000..7717b14fd2c7
--- /dev/null
+++ b/.changeset/young-sheep-roll.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai-compatible': patch
+---
+
+fix (provider/openai-incompatible): support empty tool calls
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 2b5daebb9a97..a5c217d078fa 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -79,22 +79,16 @@ We greatly appreciate your pull requests. Here are the steps to submit them:
    - **Please do not use minor or major changesets**, we'll let you know when you need to use a different changeset type than patch.
    - You don't need to select any of the `examples/*` packages, as they are not released.
 
-3. **Commit Your Changes**: Ensure your commits are succinct and clear, detailing what modifications have been made and the reasons behind them. We don't require a specific commit message format, but please be descriptive.
-4. **Fix prettier issues**: Run `pnpm prettier-fix` to fix any formatting issues in your code.
-5. **Push the Changes to Your GitHub Repository**: After committing your changes, push them to your GitHub repository.
-6. **Open a Pull Request**: Propose your changes for review. Furnish a lucid title and description of your contributions. Make sure to link any relevant issues your PR resolves. We use the following PR title format:
+3. **Add a codemod**: If the change introduces a deprecation or a breaking change, add a codemod if possible. See [how to contribute codemods](contributing/codemods.md)
+4. **Commit Your Changes**: Ensure your commits are succinct and clear, detailing what modifications have been made and the reasons behind them. We don't require a specific commit message format, but please be descriptive.
+5. **Fix prettier issues**: Run `pnpm prettier-fix` to fix any formatting issues in your code.
+6. **Push the Changes to Your GitHub Repository**: After committing your changes, push them to your GitHub repository.
+7. **Open a Pull Request**: Propose your changes for review. Furnish a lucid title and description of your contributions. Make sure to link any relevant issues your PR resolves. We use the following PR title format:
 
    - `fix(package-name): description` or
    - `feat(package-name): description` or
    - `chore(package-name): description` etc.
 
-7. **Respond to Feedback**: Stay receptive to and address any feedback or alteration requests from the project maintainers.
-
-### Fixing Prettier Issues
-
-> [!TIP]
-> Run `pnpm prettier-fix` before opening a pull request.
-
-If you encounter any prettier issues, you can fix them by running `pnpm prettier-fix`. This command will automatically fix any formatting issues in your code.
+8. **Respond to Feedback**: Stay receptive to and address any feedback or alteration requests from the project maintainers.
 
 Thank you for contributing to the AI SDK! Your efforts help us improve the project for everyone.
diff --git a/content/docs/02-guides/01-rag-chatbot.mdx b/content/cookbook/00-guides/01-rag-chatbot.mdx
similarity index 78%
rename from content/docs/02-guides/01-rag-chatbot.mdx
rename to content/cookbook/00-guides/01-rag-chatbot.mdx
index 8c191b235bd1..9b640a29cc9d 100644
--- a/content/docs/02-guides/01-rag-chatbot.mdx
+++ b/content/cookbook/00-guides/01-rag-chatbot.mdx
@@ -1,11 +1,22 @@
 ---
-title: RAG Chatbot
-description: Learn how to build a RAG Chatbot with the AI SDK and Next.js
+title: RAG Agent
+description: Learn how to build a RAG Agent with the AI SDK and Next.js
+tags:
+  [
+    'rag',
+    'chatbot',
+    'next',
+    'embeddings',
+    'database',
+    'retrieval',
+    'memory',
+    'agent',
+  ]
 ---
 
-# RAG Chatbot Guide
+# RAG Agent Guide
 
-In this guide, you will learn how to build a retrieval-augmented generation (RAG) chatbot application.
+In this guide, you will learn how to build a retrieval-augmented generation (RAG) agent.
 
 <video
   src="/images/rag-guide-demo.mp4"
@@ -101,7 +112,7 @@ Onto the project!
 
 ## Project Setup
 
-In this project, you will build a chatbot that will only respond with information that it has within its knowledge base. The chatbot will be able to both store and retrieve information. This project has many interesting use cases from customer support through to building your own second brain!
+In this project, you will build a agent that will only respond with information that it has within its knowledge base. The agent will be able to both store and retrieve information. This project has many interesting use cases from customer support through to building your own second brain!
 
 This project will use the following stack:
 
@@ -135,11 +146,33 @@ First things first, run the following command to install the project’s depende
 
 ### Create Database
 
-You will need a Postgres database to complete this tutorial. If you don’t have Postgres setup on your local machine you can:
+You will need a Postgres database to complete this tutorial. If you don't have Postgres setup on your local machine you can:
 
-- Create a free Postgres database with [Vercel Postgres](https://vercel.com/docs/storage/vercel-postgres); or
+- Create a free Postgres database with Vercel (recommended - see instructions below); or
 - Follow [this guide](https://www.prisma.io/dataguide/postgresql/setting-up-a-local-postgresql-database) to set it up locally
 
+#### Setting up Postgres with Vercel
+
+To set up a Postgres instance on your Vercel account:
+
+1. Go to [Vercel.com](https://vercel.com) and make sure you're logged in
+1. Navigate to your team homepage
+1. Click on the **Integrations** tab
+1. Click **Browse Marketplace**
+1. Look for the **Storage** option in the sidebar
+1. Select the **Neon** option (recommended, but any other PostgreSQL database provider should work)
+1. Click **Install**, then click **Install** again in the top right corner
+1. On the "Get Started with Neon" page, click **Create Database** on the right
+1. Select your region (e.g., Washington, D.C., U.S. East)
+1. Turn off **Auth**
+1. Click **Continue**
+1. Name your database (you can use the default name or rename it to something like "RagTutorial")
+1. Click **Create** in the bottom right corner
+1. After seeing "Database created successfully", click **Done**
+1. You'll be redirected to your database instance
+1. In the Quick Start section, click **Show secrets**
+1. Copy the full `DATABASE_URL` environment variable
+
 ### Migrate Database
 
 Once you have a Postgres database, you need to add the connection string as an environment secret.
@@ -157,11 +190,8 @@ With that set up, you can now run your first database migration. Run the followi
 This will first add the `pgvector` extension to your database. Then it will create a new table for your `resources` schema that is defined in `lib/db/schema/resources.ts`. This schema has four columns: `id`, `content`, `createdAt`, and `updatedAt`.
 
 <Note>
-  If you experience an error with the migration, open your migration file
-  (`lib/db/migrations/0000_yielding_bloodaxe.sql`), cut (copy and remove) the
-  first line, and run it directly on your postgres instance. You should now be
-  able to run the updated migration. [More
-  info](https://github.com/vercel/ai-sdk-rag-starter/issues/1).
+  If you experience an error with the migration, see the [troubleshooting
+  section](#troubleshooting-migration-error) below.
 </Note>
 
 ### OpenAI API Key
@@ -176,8 +206,8 @@ Let’s build a quick task list of what needs to be done:
 
 1. Create a table in your database to store embeddings
 2. Add logic to chunk and create embeddings when creating resources
-3. Create a chatbot
-4. Give the chatbot tools to query / create resources for it’s knowledge base
+3. Create an agent
+4. Give the agent tools to query / create resources for it’s knowledge base
 
 ### Create Embeddings Table
 
@@ -374,7 +404,7 @@ First, you call the `generateEmbeddings` function created in the previous step,
 
 ### Create Root Page
 
-Great! Let's build the frontend. The AI SDK’s [`useChat`](/docs/reference/ai-sdk-ui/use-chat) hook allows you to easily create a conversational user interface for your chatbot application.
+Great! Let's build the frontend. The AI SDK’s [`useChat`](/docs/reference/ai-sdk-ui/use-chat) hook allows you to easily create a conversational user interface for your agent.
 
 Replace your root page (`app/page.tsx`) with the following code.
 
@@ -382,14 +412,11 @@ Replace your root page (`app/page.tsx`) with the following code.
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat({
-    chatStore: defaultChatStoreOptions({
-      api: '/api/chat',
-    }),
-  });
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
       <div className="space-y-4">
@@ -397,18 +424,29 @@ export default function Chat() {
           <div key={m.id} className="whitespace-pre-wrap">
             <div>
               <div className="font-bold">{m.role}</div>
-              <p>{m.content}</p>
+              {m.parts.map(part => {
+                switch (part.type) {
+                  case 'text':
+                    return <p>{part.text}</p>;
+                }
+              })}
             </div>
           </div>
         ))}
       </div>
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
         <input
           className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl"
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.currentTarget.value)}
         />
       </form>
     </div>
@@ -455,13 +493,13 @@ export async function POST(req: Request) {
 }
 ```
 
-In this code, you declare and export an asynchronous function called POST. You retrieve the `messages` from the request body and then pass them to the [`streamText`](/docs/reference/ai-sdk-core/stream-text) function imported from the AI SDK, alongside the model you would like to use. Finally, you return the model’s response in `AIStreamResponse` format.
+In this code, you declare and export an asynchronous function called POST. You retrieve the `messages` from the request body and then pass them to the [`streamText`](/docs/reference/ai-sdk-core/stream-text) function imported from the AI SDK, alongside the model you would like to use. Finally, you return the model’s response in `UIMessageStreamResponse` format.
 
 Head back to the browser and try to send a message again. You should see a response from the model streamed directly in!
 
 ### Refining your prompt
 
-While you now have a working chatbot, it isn't doing anything special.
+While you now have a working agent, it isn't doing anything special.
 
 Let’s add system instructions to refine and restrict the model’s behavior. In this case, you want the model to only use information it has retrieved to generate responses. Update your route handler with the following code:
 
@@ -489,13 +527,13 @@ export async function POST(req: Request) {
 
 Head back to the browser and try to ask the model what your favorite food is. The model should now respond exactly as you instructed above (“Sorry, I don’t know”) given it doesn’t have any relevant information.
 
-In its current form, your chatbot is now, well, useless. How do you give the model the ability to add and query information?
+In its current form, your agent is now, well, useless. How do you give the model the ability to add and query information?
 
 ### Using Tools
 
 A [tool](/docs/foundations/tools) is a function that can be called by the model to perform a specific task. You can think of a tool like a program you give to the model that it can run as and when it deems necessary.
 
-Let’s see how you can create a tool to give the model the ability to create, embed and save a resource to your chatbots’ knowledge base.
+Let’s see how you can create a tool to give the model the ability to create, embed and save a resource to your agents’ knowledge base.
 
 ### Add Resource Tool
 
@@ -523,7 +561,7 @@ export async function POST(req: Request) {
       addResource: tool({
         description: `add a resource to your knowledge base.
           If the user provides a random piece of knowledge unprompted, use this tool without asking for confirmation.`,
-        parameters: z.object({
+        inputSchema: z.object({
           content: z
             .string()
             .describe('the content or resource to add to the knowledge base'),
@@ -540,10 +578,10 @@ export async function POST(req: Request) {
 In this code, you define a tool called `addResource`. This tool has three elements:
 
 - **description**: description of the tool that will influence when the tool is picked.
-- **parameters**: [Zod schema](/docs/foundations/tools#schema-specification-and-validation-with-zod) that defines the parameters necessary for the tool to run.
+- **inputSchema**: [Zod schema](/docs/foundations/tools#schema-specification-and-validation-with-zod) that defines the input necessary for the tool to run.
 - **execute**: An asynchronous function that is called with the arguments from the tool call.
 
-In simple terms, on each generation, the model will decide whether it should call the tool. If it deems it should call the tool, it will extract the parameters from the input and then append a new `message` to the `messages` array of type `tool-call`. The AI SDK will then run the `execute` function with the parameters provided by the `tool-call` message.
+In simple terms, on each generation, the model will decide whether it should call the tool. If it deems it should call the tool, it will extract the input and then append a new `message` to the `messages` array of type `tool-call`. The AI SDK will then run the `execute` function with the parameters provided by the `tool-call` message.
 
 Head back to the browser and tell the model your favorite food. You should see an empty response in the UI. Did anything happen? Let’s see. Run the following command in a new terminal window.
 
@@ -557,14 +595,11 @@ Let’s make a few changes in the UI to communicate to the user when a tool has
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat({
-    chatStore: defaultChatStoreOptions({
-      api: '/api/chat',
-    }),
-  });
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
       <div className="space-y-4">
@@ -572,31 +607,40 @@ export default function Chat() {
           <div key={m.id} className="whitespace-pre-wrap">
             <div>
               <div className="font-bold">{m.role}</div>
-              <div>
-                {m.parts.map((part, index) => {
-                  if (part.type === 'text') {
-                    return <p key={index}>{part.text}</p>;
-                  } else if (part.type === 'tool-call') {
+              {m.parts.map(part => {
+                switch (part.type) {
+                  case 'text':
+                    return <p>{part.text}</p>;
+                  case 'tool-addResource':
+                  case 'tool-getInformation':
                     return (
-                      <span key={index} className="italic font-light">
-                        {'calling tool: ' + part.toolName}
-                      </span>
+                      <p>
+                        call{part.state === 'output-available' ? 'ed' : 'ing'}{' '}
+                        tool: {part.type}
+                        <pre className="my-4 bg-zinc-100 p-2 rounded-sm">
+                          {JSON.stringify(part.input, null, 2)}
+                        </pre>
+                      </p>
                     );
-                  }
-                  return null;
-                })}
-              </div>
+                }
+              })}
             </div>
           </div>
         ))}
       </div>
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
         <input
           className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl"
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.currentTarget.value)}
         />
       </form>
     </div>
@@ -606,26 +650,60 @@ export default function Chat() {
 
 With this change, you now conditionally render the tool that has been called directly in the UI. Save the file and head back to browser. Tell the model your favorite movie. You should see which tool is called in place of the model’s typical text response.
 
+<Note>
+  Don't worry about the `tool-getInformation` tool case in the switch statement
+  - we'll add that tool in a later section.
+</Note>
+
 ### Improving UX with Multi-Step Calls
 
 It would be nice if the model could summarize the action too. However, technically, once the model calls a tool, it has completed its generation as it ‘generated’ a tool call. How could you achieve this desired behaviour?
 
-The AI SDK has a feature called [`maxSteps`](/docs/ai-sdk-core/tools-and-tool-calling#multi-step-calls) which will automatically send tool call results back to the model!
+The AI SDK has a feature called [`stopWhen`](/docs/ai-sdk-core/tools-and-tool-calling#multi-step-calls) which allows stopping conditions when the model generates a tool call. If those stopping conditions haven't been hit, the AI SDK will automatically send tool call results back to the model!
 
-Open your root page (`app/page.tsx`) and add the following key to the `useChat` configuration object:
+Open your root page (`api/chat/route.ts`) and add the following key to the `streamText` configuration object:
 
-```tsx filename="app/page.tsx" highlight="1,4-8"
-import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+```tsx filename="api/chat/route.ts" highlight="8,24"
+import { createResource } from '@/lib/actions/resources';
+import { openai } from '@ai-sdk/openai';
+import {
+  convertToModelMessages,
+  streamText,
+  tool,
+  UIMessage,
+  stepCountIs,
+} from 'ai';
+import { z } from 'zod';
 
-const { messages, input, handleInputChange, handleSubmit } = useChat({
-  chatStore: defaultChatStoreOptions({
-    api: '/api/chat',
-    maxSteps: 3,
-  }),
-});
+// Allow streaming responses up to 30 seconds
+export const maxDuration = 30;
+
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
-// ... Rest of your code
+  const result = streamText({
+    model: openai('gpt-4o'),
+    system: `You are a helpful assistant. Check your knowledge base before answering any questions.
+    Only respond to questions using information from tool calls.
+    if no relevant information is found in the tool calls, respond, "Sorry, I don't know."`,
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools: {
+      addResource: tool({
+        description: `add a resource to your knowledge base.
+          If the user provides a random piece of knowledge unprompted, use this tool without asking for confirmation.`,
+        inputSchema: z.object({
+          content: z
+            .string()
+            .describe('the content or resource to add to the knowledge base'),
+        }),
+        execute: async ({ content }) => createResource({ content }),
+      }),
+    },
+  });
+
+  return result.toUIMessageStreamResponse();
+}
 ```
 
 Head back to the browser and tell the model your favorite pizza topping (note: pineapple is not an option). You should see a follow-up response from the model confirming the action.
@@ -697,10 +775,16 @@ With that done, it’s onto the final step: creating the tool.
 
 Go back to your route handler (`api/chat/route.ts`) and add a new tool called `getInformation`:
 
-```ts filename="api/chat/route.ts" highlight="5,30-36"
+```ts filename="api/chat/route.ts" highlight="11,37-43"
 import { createResource } from '@/lib/actions/resources';
 import { openai } from '@ai-sdk/openai';
-import { convertToModelMessages, streamText, tool, UIMessage } from 'ai';
+import {
+  convertToModelMessages,
+  streamText,
+  tool,
+  UIMessage,
+  stepCountIs,
+} from 'ai';
 import { z } from 'zod';
 import { findRelevantContent } from '@/lib/ai/embedding';
 
@@ -713,6 +797,7 @@ export async function POST(req: Request) {
   const result = streamText({
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
     system: `You are a helpful assistant. Check your knowledge base before answering any questions.
     Only respond to questions using information from tool calls.
     if no relevant information is found in the tool calls, respond, "Sorry, I don't know."`,
@@ -720,7 +805,7 @@ export async function POST(req: Request) {
       addResource: tool({
         description: `add a resource to your knowledge base.
           If the user provides a random piece of knowledge unprompted, use this tool without asking for confirmation.`,
-        parameters: z.object({
+        inputSchema: z.object({
           content: z
             .string()
             .describe('the content or resource to add to the knowledge base'),
@@ -729,7 +814,7 @@ export async function POST(req: Request) {
       }),
       getInformation: tool({
         description: `get information from your knowledge base to answer questions.`,
-        parameters: z.object({
+        inputSchema: z.object({
           question: z.string().describe('the users question'),
         }),
         execute: async ({ question }) => findRelevantContent(question),
@@ -745,4 +830,15 @@ Head back to the browser, refresh the page, and ask for your favorite food. You
 
 ## Conclusion
 
-Congratulations, you have successfully built an AI chatbot that can dynamically add and retrieve information to and from a knowledge base. Throughout this guide, you learned how to create and store embeddings, set up server actions to manage resources, and use tools to extend the capabilities of your chatbot.
+Congratulations, you have successfully built an AI agent that can dynamically add and retrieve information to and from a knowledge base. Throughout this guide, you learned how to create and store embeddings, set up server actions to manage resources, and use tools to extend the capabilities of your agent.
+
+## Troubleshooting Migration Error
+
+If you experience an error with the migration, open your migration file (`lib/db/migrations/0000_yielding_bloodaxe.sql`), cut (copy and remove) the first line, and run it directly on your postgres instance. You should now be able to run the updated migration.
+
+If you're using the Vercel setup above, you can run the command directly by either:
+
+- Going to the Neon console and entering the command there, or
+- Going back to the Vercel platform, navigating to the Quick Start section of your database, and finding the PSQL connection command (second tab). This will connect to your instance in the terminal where you can run the command directly.
+
+[More info](https://github.com/vercel/ai-sdk-rag-starter/issues/1).
diff --git a/content/cookbook/00-guides/02-multi-modal-chatbot.mdx b/content/cookbook/00-guides/02-multi-modal-chatbot.mdx
new file mode 100644
index 000000000000..6d184754d50c
--- /dev/null
+++ b/content/cookbook/00-guides/02-multi-modal-chatbot.mdx
@@ -0,0 +1,393 @@
+---
+title: Multi-Modal Agent
+description: Learn how to build a multi-modal agent that can process images and PDFs with the AI SDK.
+tags: ['multi-modal', 'agent', 'images', 'pdf', 'vision', 'next']
+---
+
+# Multi-Modal Agent
+
+In this guide, you will build a multi-modal agent capable of understanding both images and PDFs.
+
+Multi-modal refers to the ability of the agent to understand and generate responses in multiple formats. In this guide, we'll focus on images and PDFs - two common document types that modern language models can process natively.
+
+<Note>
+  For a complete list of providers and their multi-modal capabilities, visit the
+  [providers documentation](/providers/ai-sdk-providers).
+</Note>
+
+We'll build this agent using OpenAI's GPT-4o, but the same code works seamlessly with other providers - you can switch between them by changing just one line of code.
+
+## Prerequisites
+
+To follow this quickstart, you'll need:
+
+- Node.js 18+ and pnpm installed on your local development machine.
+- An OpenAI API key.
+
+If you haven't obtained your OpenAI API key, you can do so by [signing up](https://platform.openai.com/signup/) on the OpenAI website.
+
+## Create Your Application
+
+Start by creating a new Next.js application. This command will create a new directory named `multi-modal-agent` and set up a basic Next.js application inside it.
+
+<div className="mb-4">
+  <Note>
+    Be sure to select yes when prompted to use the App Router. If you are
+    looking for the Next.js Pages Router quickstart guide, you can find it
+    [here](/docs/getting-started/nextjs-pages-router).
+  </Note>
+</div>
+
+<Snippet text="pnpm create next-app@latest multi-modal-agent" />
+
+Navigate to the newly created directory:
+
+<Snippet text="cd multi-modal-agent" />
+
+### Install dependencies
+
+Install `ai` and `@ai-sdk/openai`, the AI SDK package and the AI SDK's [ OpenAI provider ](/providers/ai-sdk-providers/openai) respectively.
+
+<Note>
+  The AI SDK is designed to be a unified interface to interact with any large
+  language model. This means that you can change model and providers with just
+  one line of code! Learn more about [available providers](/providers) and
+  [building custom providers](/providers/community-providers/custom-providers)
+  in the [providers](/providers) section.
+</Note>
+<div className="my-4">
+  <Tabs items={['pnpm', 'npm', 'yarn']}>
+    <Tab>
+      <Snippet
+        text="pnpm add ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
+        dark
+      />
+    </Tab>
+    <Tab>
+      <Snippet
+        text="npm install ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
+        dark
+      />
+    </Tab>
+    <Tab>
+      <Snippet
+        text="yarn add ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
+        dark
+      />
+    </Tab>
+  </Tabs>
+</div>
+
+### Configure OpenAI API key
+
+Create a `.env.local` file in your project root and add your OpenAI API Key. This key is used to authenticate your application with the OpenAI service.
+
+<Snippet text="touch .env.local" />
+
+Edit the `.env.local` file:
+
+```env filename=".env.local"
+OPENAI_API_KEY=xxxxxxxxx
+```
+
+Replace `xxxxxxxxx` with your actual OpenAI API key.
+
+<Note className="mb-4">
+  The AI SDK's OpenAI Provider will default to using the `OPENAI_API_KEY`
+  environment variable.
+</Note>
+
+## Implementation Plan
+
+To build a multi-modal agent, you will need to:
+
+- Create a Route Handler to handle incoming chat messages and generate responses.
+- Wire up the UI to display chat messages, provide a user input, and handle submitting new messages.
+- Add the ability to upload images and PDFs and attach them alongside the chat messages.
+
+## Create a Route Handler
+
+Create a route handler, `app/api/chat/route.ts` and add the following code:
+
+```tsx filename="app/api/chat/route.ts"
+import { openai } from '@ai-sdk/openai';
+import { streamText, convertToModelMessages, type UIMessage } from 'ai';
+
+// Allow streaming responses up to 30 seconds
+export const maxDuration = 30;
+
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+```
+
+Let's take a look at what is happening in this code:
+
+1. Define an asynchronous `POST` request handler and extract `messages` from the body of the request. The `messages` variable contains a history of the conversation between you and the agent and provides the agent with the necessary context to make the next generation.
+2. Convert the UI messages to model messages using `convertToModelMessages`, which transforms the UI-focused message format to the format expected by the language model.
+3. Call [`streamText`](/docs/reference/ai-sdk-core/stream-text), which is imported from the `ai` package. This function accepts a configuration object that contains a `model` provider (imported from `@ai-sdk/openai`) and `messages` (converted in step 2). You can pass additional [settings](/docs/ai-sdk-core/settings) to further customise the model's behaviour.
+4. The `streamText` function returns a [`StreamTextResult`](/docs/reference/ai-sdk-core/stream-text#result-object). This result object contains the [ `toUIMessageStreamResponse` ](/docs/reference/ai-sdk-core/stream-text#to-ui-message-stream-response) function which converts the result to a streamed response object.
+5. Finally, return the result to the client to stream the response.
+
+This Route Handler creates a POST request endpoint at `/api/chat`.
+
+## Wire up the UI
+
+Now that you have a Route Handler that can query a large language model (LLM), it's time to setup your frontend. [ AI SDK UI ](/docs/ai-sdk-ui) abstracts the complexity of a chat interface into one hook, [`useChat`](/docs/reference/ai-sdk-ui/use-chat).
+
+Update your root page (`app/page.tsx`) with the following code to show a list of chat messages and provide a user message input:
+
+```tsx filename="app/page.tsx"
+'use client';
+
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
+
+export default function Chat() {
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+
+  return (
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages.map(m => (
+        <div key={m.id} className="whitespace-pre-wrap">
+          {m.role === 'user' ? 'User: ' : 'AI: '}
+          {m.parts.map((part, index) => {
+            if (part.type === 'text') {
+              return <span key={`${m.id}-text-${index}`}>{part.text}</span>;
+            }
+            return null;
+          })}
+        </div>
+      ))}
+
+      <form
+        onSubmit={async event => {
+          event.preventDefault();
+          sendMessage({
+            role: 'user',
+            parts: [{ type: 'text', text: input }],
+          });
+          setInput('');
+        }}
+        className="fixed bottom-0 w-full max-w-md mb-8 border border-gray-300 rounded shadow-xl"
+      >
+        <input
+          className="w-full p-2"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.target.value)}
+        />
+      </form>
+    </div>
+  );
+}
+```
+
+<Note>
+  Make sure you add the `"use client"` directive to the top of your file. This
+  allows you to add interactivity with Javascript.
+</Note>
+
+This page utilizes the `useChat` hook, configured with `DefaultChatTransport` to specify the API endpoint. The `useChat` hook provides multiple utility functions and state variables:
+
+- `messages` - the current chat messages (an array of objects with `id`, `role`, and `parts` properties).
+- `sendMessage` - function to send a new message to the AI.
+- Each message contains a `parts` array that can include text, images, PDFs, and other content types.
+- Files are converted to data URLs before being sent to maintain compatibility across different environments.
+
+## Add File Upload
+
+To make your agent multi-modal, let's add the ability to upload and send both images and PDFs to the model. In v5, files are sent as part of the message's `parts` array. Files are converted to data URLs using the FileReader API before being sent to the server.
+
+Update your root page (`app/page.tsx`) with the following code:
+
+```tsx filename="app/page.tsx" highlight="4-5,10-12,15-39,46-81,87-97"
+'use client';
+
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useRef, useState } from 'react';
+import Image from 'next/image';
+
+async function convertFilesToDataURLs(files: FileList) {
+  return Promise.all(
+    Array.from(files).map(
+      file =>
+        new Promise<{
+          type: 'file';
+          mediaType: string;
+          url: string;
+        }>((resolve, reject) => {
+          const reader = new FileReader();
+          reader.onload = () => {
+            resolve({
+              type: 'file',
+              mediaType: file.type,
+              url: reader.result as string,
+            });
+          };
+          reader.onerror = reject;
+          reader.readAsDataURL(file);
+        }),
+    ),
+  );
+}
+
+export default function Chat() {
+  const [input, setInput] = useState('');
+  const [files, setFiles] = useState<FileList | undefined>(undefined);
+  const fileInputRef = useRef<HTMLInputElement>(null);
+
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+
+  return (
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages.map(m => (
+        <div key={m.id} className="whitespace-pre-wrap">
+          {m.role === 'user' ? 'User: ' : 'AI: '}
+          {m.parts.map((part, index) => {
+            if (part.type === 'text') {
+              return <span key={`${m.id}-text-${index}`}>{part.text}</span>;
+            }
+            if (part.type === 'file' && part.mediaType?.startsWith('image/')) {
+              return (
+                <Image
+                  key={`${m.id}-image-${index}`}
+                  src={part.url}
+                  width={500}
+                  height={500}
+                  alt={`attachment-${index}`}
+                />
+              );
+            }
+            if (part.type === 'file' && part.mediaType === 'application/pdf') {
+              return (
+                <iframe
+                  key={`${m.id}-pdf-${index}`}
+                  src={part.url}
+                  width={500}
+                  height={600}
+                  title={`pdf-${index}`}
+                />
+              );
+            }
+            return null;
+          })}
+        </div>
+      ))}
+
+      <form
+        className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl space-y-2"
+        onSubmit={async event => {
+          event.preventDefault();
+
+          const fileParts =
+            files && files.length > 0
+              ? await convertFilesToDataURLs(files)
+              : [];
+
+          sendMessage({
+            role: 'user',
+            parts: [{ type: 'text', text: input }, ...fileParts],
+          });
+
+          setInput('');
+          setFiles(undefined);
+
+          if (fileInputRef.current) {
+            fileInputRef.current.value = '';
+          }
+        }}
+      >
+        <input
+          type="file"
+          accept="image/*,application/pdf"
+          className=""
+          onChange={event => {
+            if (event.target.files) {
+              setFiles(event.target.files);
+            }
+          }}
+          multiple
+          ref={fileInputRef}
+        />
+        <input
+          className="w-full p-2"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.target.value)}
+        />
+      </form>
+    </div>
+  );
+}
+```
+
+In this code, you:
+
+1. Add a helper function `convertFilesToDataURLs` to convert file uploads to data URLs.
+1. Create state to hold the input text, files, and a ref to the file input field.
+1. Configure `useChat` with `DefaultChatTransport` to specify the API endpoint.
+1. Display messages using the `parts` array structure, rendering text, images, and PDFs appropriately.
+1. Update the `onSubmit` function to send messages with the `sendMessage` function, including both text and file parts.
+1. Add a file input field to the form, including an `onChange` handler to handle updating the files state.
+
+## Running Your Application
+
+With that, you have built everything you need for your multi-modal agent! To start your application, use the command:
+
+<Snippet text="pnpm run dev" />
+
+Head to your browser and open http://localhost:3000. You should see an input field and a button to upload files.
+
+Try uploading an image or PDF and asking the model questions about it. Watch as the model's response is streamed back to you!
+
+## Using Other Providers
+
+With the AI SDK's unified provider interface you can easily switch to other providers that support multi-modal capabilities:
+
+```tsx filename="app/api/chat/route.ts"
+// Using Anthropic
+import { anthropic } from '@ai-sdk/anthropic';
+const result = streamText({
+  model: anthropic('claude-sonnet-4-20250514'),
+  messages: convertToModelMessages(messages),
+});
+
+// Using Google
+import { google } from '@ai-sdk/google';
+const result = streamText({
+  model: google('gemini-2.5-flash'),
+  messages: convertToModelMessages(messages),
+});
+```
+
+Install the provider package (`@ai-sdk/anthropic@beta` or `@ai-sdk/google@beta`) and update your API keys in `.env.local`. The rest of your code remains the same.
+
+<Note>
+  Different providers may have varying file size limits and performance
+  characteristics. Check the [provider
+  documentation](/providers/ai-sdk-providers) for specific details.
+</Note>
+
+## Where to Next?
+
+You've built a multi-modal AI agent using the AI SDK! Experiment and extend the functionality of this application further by exploring [tool calling](/docs/ai-sdk-core/tools-and-tool-calling).
diff --git a/content/docs/02-guides/03-slackbot.mdx b/content/cookbook/00-guides/03-slackbot.mdx
similarity index 95%
rename from content/docs/02-guides/03-slackbot.mdx
rename to content/cookbook/00-guides/03-slackbot.mdx
index 1f7b36f8bcd3..a9a5d1de0c79 100644
--- a/content/docs/02-guides/03-slackbot.mdx
+++ b/content/cookbook/00-guides/03-slackbot.mdx
@@ -1,9 +1,10 @@
 ---
-title: Slackbot Guide
-description: Learn how to use the AI SDK to build an AI Slackbot.
+title: Slackbot Agent Guide
+description: Learn how to use the AI SDK to build an AI Agent in Slack.
+tags: ['agents', 'chatbot']
 ---
 
-# Building a Slack AI Chatbot with the AI SDK
+# Building an AI Agent in Slack with the AI SDK
 
 In this guide, you will learn how to build a Slackbot powered by the AI SDK. The bot will be able to respond to direct messages and mentions in channels using the full context of the thread.
 
@@ -318,8 +319,7 @@ Here's how to implement it:
 
 ```typescript filename="lib/generate-response.ts"
 import { openai } from '@ai-sdk/openai';
-import { generateText } from 'ai';
-import type { ModelMessage } from 'ai';
+import { generateText, ModelMessage } from 'ai';
 
 export const generateResponse = async (
   messages: ModelMessage[],
@@ -350,8 +350,7 @@ The real power of the AI SDK comes from tools that enable your bot to perform ac
 
 ```typescript filename="lib/generate-response.ts"
 import { openai } from '@ai-sdk/openai';
-import { generateText, tool } from 'ai';
-import type { ModelMessage } from 'ai';
+import { generateText, tool, ModelMessage, stepCountIs } from 'ai';
 import { z } from 'zod';
 import { exa } from './utils';
 
@@ -366,11 +365,11 @@ export const generateResponse = async (
     - Current date is: ${new Date().toISOString().split('T')[0]}
     - Always include sources in your final response if you use web search.`,
     messages,
-    maxSteps: 10,
+    stopWhen: stepCountIs(10),
     tools: {
       getWeather: tool({
         description: 'Get the current weather at a location',
-        parameters: z.object({
+        inputSchema: z.object({
           latitude: z.number(),
           longitude: z.number(),
           city: z.string(),
@@ -393,7 +392,7 @@ export const generateResponse = async (
       }),
       searchWeb: tool({
         description: 'Use this to search the web for information',
-        parameters: z.object({
+        inputSchema: z.object({
           query: z.string(),
           specificDomain: z
             .string()
@@ -434,7 +433,7 @@ In this updated implementation:
    - `getWeather`: Fetches weather data for a specified location
    - `searchWeb`: Searches the web for information using the Exa API
 
-2. You set `maxSteps: 10` to enable multi-step conversations. This will automatically send any tool results back to the LLM to trigger additional tool calls or responses as the LLM deems necessary. This turns your LLM call from a one-off operation into a multi-step agentic flow.
+2. You set `stopWhen: stepCountIs(10)` to enable multi-step conversations. This defines the stopping conditions of your agent, when the model generates a tool call. This will automatically send any tool results back to the LLM to trigger additional tool calls or responses as the LLM deems necessary. This turns your LLM call from a one-off operation into a multi-step agentic flow.
 
 ## How It Works
 
diff --git a/content/docs/02-guides/04-natural-language-postgres.mdx b/content/cookbook/00-guides/04-natural-language-postgres.mdx
similarity index 94%
rename from content/docs/02-guides/04-natural-language-postgres.mdx
rename to content/cookbook/00-guides/04-natural-language-postgres.mdx
index e7923880f172..ca0639a14c41 100644
--- a/content/docs/02-guides/04-natural-language-postgres.mdx
+++ b/content/cookbook/00-guides/04-natural-language-postgres.mdx
@@ -1,6 +1,7 @@
 ---
 title: Natural Language Postgres
 description: Learn how to build a Next.js app that lets you talk to a PostgreSQL database in natural language.
+tags: ['agents', 'next', 'tools']
 ---
 
 # Natural Language Postgres Guide
@@ -67,16 +68,41 @@ POSTGRES_PASSWORD="..."
 POSTGRES_DATABASE="..."
 ```
 
-<Note>
-  This project uses Vercel Postgres. You can learn more about how to set up at
-  the [Vercel Postgres documentation](https://vercel.com/postgres).
-</Note>
-
 4. This project uses CB Insights' Unicorn Companies dataset. You can download the dataset by following these instructions:
    - Navigate to [CB Insights Unicorn Companies](https://www.cbinsights.com/research-unicorn-companies)
    - Enter in your email. You will receive a link to download the dataset.
    - Save it as `unicorns.csv` in your project root
 
+<Note>
+  You will need a Postgres database to complete this tutorial. If you don't have
+  Postgres setup on your local machine you can: - Create a free Postgres
+  database with Vercel (recommended - see instructions below); or - Follow [this
+  guide](https://www.prisma.io/dataguide/postgresql/setting-up-a-local-postgresql-database)
+  to set it up locally
+</Note>
+
+#### Setting up Postgres with Vercel
+
+To set up a Postgres instance on your Vercel account:
+
+1. Go to [Vercel.com](https://vercel.com) and make sure you're logged in
+1. Navigate to your team homepage
+1. Click on the **Integrations** tab
+1. Click **Browse Marketplace**
+1. Look for the **Storage** option in the sidebar
+1. Select the **Neon** option (recommended, but any other PostgreSQL database provider should work)
+1. Click **Install**, then click **Install** again in the top right corner
+1. On the "Get Started with Neon" page, click **Create Database** on the right
+1. Select your region (e.g., Washington, D.C., U.S. East)
+1. Turn off **Auth**
+1. Click **Continue**
+1. Name your database (you can use the default name or rename it to something like "NaturalLanguagePostgres")
+1. Click **Create** in the bottom right corner
+1. After seeing "Database created successfully", click **Done**
+1. You'll be redirected to your database instance
+1. In the Quick Start section, click **Show secrets**
+1. Copy the full `DATABASE_URL` environment variable and use it to populate the Postgres environment variables in your `.env` file
+
 ### About the dataset
 
 The Unicorn List dataset contains the following information about unicorn startups (companies with a valuation above $1bn):
diff --git a/content/docs/02-guides/05-computer-use.mdx b/content/cookbook/00-guides/05-computer-use.mdx
similarity index 87%
rename from content/docs/02-guides/05-computer-use.mdx
rename to content/cookbook/00-guides/05-computer-use.mdx
index 56ef8430092c..ffb0314d74b8 100644
--- a/content/docs/02-guides/05-computer-use.mdx
+++ b/content/cookbook/00-guides/05-computer-use.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with Computer Use
 description: Get started with Claude's Computer Use capabilities with the AI SDK
+tags: ['computer-use', 'tools']
 ---
 
 # Get started with Computer Use
@@ -79,6 +80,12 @@ This reference implementation serves as a foundation to understand the requireme
   Started guide](/docs/getting-started).
 </Note>
 
+<Note>
+  For a working example of Computer Use implementation with Next.js and the AI
+  SDK, check out our [AI SDK Computer Use
+  Template](https://github.com/vercel-labs/ai-sdk-computer-use).
+</Note>
+
 First, ensure you have the AI SDK and [Anthropic AI SDK provider](/providers/ai-sdk-providers/anthropic) installed:
 
 <Snippet text="pnpm add ai@beta @ai-sdk/anthropic@beta" />
@@ -91,7 +98,7 @@ Here's how you could set up the Computer Tool with the AI SDK:
 import { anthropic } from '@ai-sdk/anthropic';
 import { getScreenshot, executeComputerAction } from '@/utils/computer-use';
 
-const computerTool = anthropic.tools.computer_20241022({
+const computerTool = anthropic.tools.computer_20250124({
   displayWidthPx: 1920,
   displayHeightPx: 1080,
   execute: async ({ action, coordinate, text }) => {
@@ -107,7 +114,7 @@ const computerTool = anthropic.tools.computer_20241022({
       }
     }
   },
-  experimental_toToolResultContent(result) {
+  toModelOutput(result) {
     return typeof result === 'string'
       ? [{ type: 'text', text: result }]
       : [{ type: 'image', data: result.data, mediaType: 'image/png' }];
@@ -117,7 +124,7 @@ const computerTool = anthropic.tools.computer_20241022({
 
 The `computerTool` handles two main actions: taking screenshots via `getScreenshot()` and executing computer actions like mouse movements and clicks through `executeComputerAction()`. Remember, you have to implement this execution logic (eg. the `getScreenshot` and `executeComputerAction` functions) to handle the actual computer interactions. The `execute` function should handle all low-level interactions with the operating system.
 
-Finally, to send tool results back to the model, use the [`experimental_toToolResultContent()`](/docs/foundations/prompts#multi-modal-tool-results) function to convert text and image responses into a format the model can process. The AI SDK includes experimental support for these multi-modal tool results when using Anthropic's models.
+Finally, to send tool results back to the model, use the [`toModelOutput()`](/docs/foundations/prompts#multi-modal-tool-results) function to convert text and image responses into a format the model can process. The AI SDK includes experimental support for these multi-modal tool results when using Anthropic's models.
 
 <Note>
   Computer Use requires appropriate safety measures like using virtual machines,
@@ -133,7 +140,7 @@ For one-shot text generation, use `generateText`:
 
 ```ts
 const result = await generateText({
-  model: anthropic('claude-3-5-sonnet-20241022'),
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'Move the cursor to the center of the screen and take a screenshot',
   tools: { computer: computerTool },
 });
@@ -145,7 +152,7 @@ For streaming responses, use `streamText` to receive updates in real-time:
 
 ```ts
 const result = streamText({
-  model: anthropic('claude-3-5-sonnet-20241022'),
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'Open the browser and navigate to vercel.com',
   tools: { computer: computerTool },
 });
@@ -157,14 +164,16 @@ for await (const chunk of result.textStream) {
 
 ### Configure Multi-Step (Agentic) Generations
 
-To allow the model to perform multiple steps without user intervention, specify a `maxSteps` value. This will automatically send any tool results back to the model to trigger a subsequent generation:
+To allow the model to perform multiple steps without user intervention, use the `stopWhen` parameter. This will automatically send any tool results back to the model to trigger a subsequent generation:
+
+```ts highlight="1,7"
+import { stepCountIs } from 'ai';
 
-```ts highlight="5"
 const stream = streamText({
-  model: anthropic('claude-3-5-sonnet-20241022'),
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'Open the browser and navigate to vercel.com',
   tools: { computer: computerTool },
-  maxSteps: 10, // experiment with this value based on your use case
+  stopWhen: stepCountIs(10), // experiment with this value based on your use case
 });
 ```
 
@@ -173,15 +182,15 @@ const stream = streamText({
 You can combine multiple tools in a single request to enable more complex workflows. The AI SDK supports all three of Claude's Computer Use tools:
 
 ```ts
-const computerTool = anthropic.tools.computer_20241022({
+const computerTool = anthropic.tools.computer_20250124({
   ...
 });
 
-const bashTool = anthropic.tools.bash_20241022({
+const bashTool = anthropic.tools.bash_20250124({
   execute: async ({ command, restart }) => execSync(command).toString()
 });
 
-const textEditorTool = anthropic.tools.textEditor_20241022({
+const textEditorTool = anthropic.tools.textEditor_20250124({
   execute: async ({
     command,
     path,
@@ -208,11 +217,11 @@ const textEditorTool = anthropic.tools.textEditor_20241022({
 
 
 const response = await generateText({
-  model: anthropic("claude-3-5-sonnet-20241022"),
+  model: anthropic("claude-sonnet-4-20250514"),
   prompt: "Create a new file called example.txt, write 'Hello World' to it, and run 'cat example.txt' in the terminal",
   tools: {
     computer: computerTool,
-    bash: bashTool
+    bash: bashTool,
     str_replace_editor: textEditorTool,
   },
 });
diff --git a/content/cookbook/00-guides/17-gemini-2-5.mdx b/content/cookbook/00-guides/17-gemini-2-5.mdx
new file mode 100644
index 000000000000..52b69c853057
--- /dev/null
+++ b/content/cookbook/00-guides/17-gemini-2-5.mdx
@@ -0,0 +1,216 @@
+---
+title: Get started with Gemini 2.5
+description: Get started with Gemini 2.5 using the AI SDK.
+tags: ['getting-started']
+---
+
+# Get started with Gemini 2.5
+
+With the release of [Gemini 2.5](https://developers.googleblog.com/gemini-2-5-thinking-model-updates/), there has never been a better time to start building AI applications, particularly those that require complex reasoning capabilities and advanced intelligence.
+
+The [AI SDK](/) is a powerful TypeScript toolkit for building AI applications with large language models (LLMs) like Gemini 2.5 alongside popular frameworks like React, Next.js, Vue, Svelte, Node.js, and more.
+
+## Gemini 2.5
+
+Gemini 2.5 is Google's most advanced model family to date, offering exceptional capabilities across reasoning, instruction following, coding, and knowledge tasks. The Gemini 2.5 model family consists of:
+
+- [Gemini 2.5 Pro](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-pro): Best for coding and highly complex tasks
+- [Gemini 2.5 Flash](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash): Fast performance on everyday tasks
+- [Gemini 2.5 Flash-Lite](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-lite): Best for high volume cost-efficient tasks
+
+## Getting Started with the AI SDK
+
+The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications with React, Next.js, Vue, Svelte, Node.js, and more. Integrating LLMs into applications is complicated and heavily dependent on the specific model provider you use.
+
+The AI SDK abstracts away the differences between model providers, eliminates boilerplate code for building chatbots, and allows you to go beyond text output to generate rich, interactive components.
+
+At the center of the AI SDK is [AI SDK Core](/docs/ai-sdk-core/overview), which provides a unified API to call any LLM. The code snippet below is all you need to call Gemini 2.5 with the AI SDK:
+
+```ts
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: 'Explain the concept of the Hilbert space.',
+});
+console.log(text);
+```
+
+### Thinking Capability
+
+The Gemini 2.5 series models use an internal "thinking process" that significantly improves their reasoning and multi-step planning abilities, making them highly effective for complex tasks such as coding, advanced mathematics, and data analysis.
+
+You can control the amount of thinking using the `thinkingConfig` provider option and specifying a thinking budget in tokens. Additionally, you can request thinking summaries by setting `includeThoughts` to `true`.
+
+```ts
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+const { text, reasoning } = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: 'What is the sum of the first 10 prime numbers?',
+  providerOptions: {
+    google: {
+      thinkingConfig: {
+        thinkingBudget: 8192,
+        includeThoughts: true,
+      },
+    },
+  },
+});
+
+console.log(text); // text response
+console.log(reasoning); // reasoning summary
+```
+
+### Using Tools with the AI SDK
+
+Gemini 2.5 supports tool calling, allowing it to interact with external systems and perform discrete tasks. Here's an example of using tool calling with the AI SDK:
+
+```ts
+import { z } from 'zod';
+import { generateText, tool, stepCountIs } from 'ai';
+import { google } from '@ai-sdk/google';
+
+const result = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: 'What is the weather in San Francisco?',
+  tools: {
+    weather: tool({
+      description: 'Get the weather in a location',
+      inputSchema: z.object({
+        location: z.string().describe('The location to get the weather for'),
+      }),
+      execute: async ({ location }) => ({
+        location,
+        temperature: 72 + Math.floor(Math.random() * 21) - 10,
+      }),
+    }),
+  },
+  stopWhen: stepCountIs(5), // Optional, enables multi step calling
+});
+
+console.log(result.text);
+
+console.log(result.steps);
+```
+
+### Using Google Search with Gemini
+
+With [search grounding](https://ai.google.dev/gemini-api/docs/google-search), Gemini can access to the latest information using Google search. Here's an example of using Google Search with the AI SDK:
+
+```ts
+import { google } from '@ai-sdk/google';
+import { GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+const { text, sources, providerMetadata } = await generateText({
+  model: google('gemini-2.5-flash'),
+  tools: {
+    google_search: google.tools.googleSearch({}),
+  },
+  prompt:
+    'List the top 5 San Francisco news from the past week.' +
+    'You must include the date of each article.',
+});
+
+// access the grounding metadata. Casting to the provider metadata type
+// is optional but provides autocomplete and type safety.
+const metadata = providerMetadata?.google as
+  | GoogleGenerativeAIProviderMetadata
+  | undefined;
+const groundingMetadata = metadata?.groundingMetadata;
+const safetyRatings = metadata?.safetyRatings;
+```
+
+### Building Interactive Interfaces
+
+AI SDK Core can be paired with [AI SDK UI](/docs/ai-sdk-ui/overview), another powerful component of the AI SDK, to streamline the process of building chat, completion, and assistant interfaces with popular frameworks like Next.js, Nuxt, SvelteKit, and SolidStart.
+
+AI SDK UI provides robust abstractions that simplify the complex tasks of managing chat streams and UI updates on the frontend, enabling you to develop dynamic AI-driven interfaces more efficiently.
+
+With four main hooks — [`useChat`](/docs/reference/ai-sdk-ui/use-chat), [`useCompletion`](/docs/reference/ai-sdk-ui/use-completion), [`useObject`](/docs/reference/ai-sdk-ui/use-object), and [`useAssistant`](/docs/reference/ai-sdk-ui/use-assistant) — you can incorporate real-time chat capabilities, text completions, streamed JSON, and interactive assistant features into your app.
+
+Let's explore building a chatbot with [Next.js](https://nextjs.org), the AI SDK, and Gemini 2.5 Flash:
+
+In a new Next.js application, first install the AI SDK and the Google Generative AI provider:
+
+<Snippet text="pnpm install ai @ai-sdk/google" />
+
+Then, create a route handler for the chat endpoint:
+
+```tsx filename="app/api/chat/route.ts"
+import { google } from '@ai-sdk/google';
+import { streamText, UIMessage, convertToModelMessages } from 'ai';
+
+// Allow streaming responses up to 30 seconds
+export const maxDuration = 30;
+
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: google('gemini-2.5-flash'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+```
+
+Finally, update the root page (`app/page.tsx`) to use the `useChat` hook:
+
+```tsx filename="app/page.tsx"
+'use client';
+
+import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
+
+export default function Chat() {
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
+  return (
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages.map(message => (
+        <div key={message.id} className="whitespace-pre-wrap">
+          {message.role === 'user' ? 'User: ' : 'Gemini: '}
+          {message.parts.map((part, i) => {
+            switch (part.type) {
+              case 'text':
+                return <div key={`${message.id}-${i}`}>{part.text}</div>;
+            }
+          })}
+        </div>
+      ))}
+
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
+        <input
+          className="fixed dark:bg-zinc-900 bottom-0 w-full max-w-md p-2 mb-8 border border-zinc-300 dark:border-zinc-800 rounded shadow-xl"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.currentTarget.value)}
+        />
+      </form>
+    </div>
+  );
+}
+```
+
+The useChat hook on your root page (`app/page.tsx`) will make a request to your AI provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
+
+## Get Started
+
+Ready to dive in? Here's how you can begin:
+
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) at [ai-sdk.dev/docs/guides](/docs/guides).
+4. Use ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).
+5. Read more about the [Google Generative AI provider](/providers/ai-sdk-providers/google-generative-ai).
diff --git a/content/docs/02-guides/18-claude-4.mdx b/content/cookbook/00-guides/18-claude-4.mdx
similarity index 84%
rename from content/docs/02-guides/18-claude-4.mdx
rename to content/cookbook/00-guides/18-claude-4.mdx
index 128eea83eda8..8318462111f0 100644
--- a/content/docs/02-guides/18-claude-4.mdx
+++ b/content/cookbook/00-guides/18-claude-4.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with Claude 4
 description: Get started with Claude 4 using the AI SDK.
+tags: ['getting-started']
 ---
 
 # Get started with Claude 4
@@ -29,14 +30,14 @@ The AI SDK is the TypeScript toolkit designed to help developers build AI-powere
 
 The AI SDK abstracts away the differences between model providers, eliminates boilerplate code for building chatbots, and allows you to go beyond text output to generate rich, interactive components.
 
-At the center of the AI SDK is [AI SDK Core](/docs/ai-sdk-core/overview), which provides a unified API to call any LLM. The code snippet below is all you need to call Claude 3.7 Sonnet with the AI SDK:
+At the center of the AI SDK is [AI SDK Core](/docs/ai-sdk-core/overview), which provides a unified API to call any LLM. The code snippet below is all you need to call Claude 4 Sonnet with the AI SDK:
 
 ```ts
 import { anthropic } from '@ai-sdk/anthropic';
 import { generateText } from 'ai';
 
-const { text, reasoning, reasoningDetails } = await generateText({
-  model: anthropic('claude-4-sonnet-20250514'),
+const { text, reasoningText, reasoning } = await generateText({
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'How will quantum computing impact cryptography by 2050?',
 });
 console.log(text);
@@ -50,8 +51,8 @@ Claude 4 enhances the extended thinking capabilities first introduced in Claude
 import { anthropic, AnthropicProviderOptions } from '@ai-sdk/anthropic';
 import { generateText } from 'ai';
 
-const { text, reasoning, reasoningDetails } = await generateText({
-  model: anthropic('claude-4-sonnet-20250514'),
+const { text, reasoningText, reasoning } = await generateText({
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'How will quantum computing impact cryptography by 2050?',
   providerOptions: {
     anthropic: {
@@ -64,8 +65,8 @@ const { text, reasoning, reasoningDetails } = await generateText({
 });
 
 console.log(text); // text response
-console.log(reasoning); // reasoning text
-console.log(reasoningDetails); // reasoning details including redacted reasoning
+console.log(reasoningText); // reasoning text
+console.log(reasoning); // reasoning details including redacted reasoning
 ```
 
 ### Building Interactive Interfaces
@@ -80,20 +81,20 @@ Let's explore building a chatbot with [Next.js](https://nextjs.org), the AI SDK,
 
 In a new Next.js application, first install the AI SDK and the Anthropic provider:
 
-<Snippet text="pnpm install ai @ai-sdk/anthropic" />
+<Snippet text="pnpm install ai@beta @ai-sdk/anthropic@beta" />
 
 Then, create a route handler for the chat endpoint:
 
 ```tsx filename="app/api/chat/route.ts"
 import { anthropic, AnthropicProviderOptions } from '@ai-sdk/anthropic';
-import { streamText } from 'ai';
+import { streamText, convertToModelMessages, type UIMessage } from 'ai';
 
 export async function POST(req: Request) {
-  const { messages } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
-    model: anthropic('claude-4-sonnet-20250514'),
-    messages,
+    model: anthropic('claude-sonnet-4-20250514'),
+    messages: convertToModelMessages(messages),
     headers: {
       'anthropic-beta': 'interleaved-thinking-2025-05-14',
     },
@@ -104,7 +105,7 @@ export async function POST(req: Request) {
     },
   });
 
-  return result.toDataStreamResponse({
+  return result.toUIMessageStreamResponse({
     sendReasoning: true,
   });
 }
@@ -112,7 +113,7 @@ export async function POST(req: Request) {
 
 <Note>
   You can forward the model's reasoning tokens to the client with
-  `sendReasoning: true` in the `toDataStreamResponse` method.
+  `sendReasoning: true` in the `toUIMessageStreamResponse` method.
 </Note>
 
 Finally, update the root page (`app/page.tsx`) to use the `useChat` hook:
@@ -121,9 +122,22 @@ Finally, update the root page (`app/page.tsx`) to use the `useChat` hook:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit, error } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({ api: '/api/chat' }),
+  });
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    if (input.trim()) {
+      sendMessage({ text: input });
+      setInput('');
+    }
+  };
 
   return (
     <div className="flex flex-col h-screen max-w-2xl mx-auto p-4">
@@ -156,9 +170,7 @@ export default function Page() {
                       <summary className="cursor-pointer">
                         View reasoning
                       </summary>
-                      {part.details.map(detail =>
-                        detail.type === 'text' ? detail.text : '<redacted>',
-                      )}
+                      {part.text}
                     </details>
                   </pre>
                 );
@@ -171,7 +183,7 @@ export default function Page() {
         <input
           name="prompt"
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           className="flex-1 p-2 border rounded focus:outline-none focus:ring-2 focus:ring-blue-500"
           placeholder="Ask Claude 4 something..."
         />
@@ -189,10 +201,11 @@ export default function Page() {
 
 <Note>
   You can access the model's reasoning tokens with the `reasoning` part on the
-  message `parts`.
+  message `parts`. The reasoning text is available in the `text` property of the
+  reasoning part.
 </Note>
 
-The useChat hook on your root page (`app/page.tsx`) will make a request to your AI provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
+The useChat hook on your root page (`app/page.tsx`) will make a request to your LLM provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
 
 ### Claude 4 Model Variants
 
diff --git a/content/docs/02-guides/19-openai-responses.mdx b/content/cookbook/00-guides/19-openai-responses.mdx
similarity index 93%
rename from content/docs/02-guides/19-openai-responses.mdx
rename to content/cookbook/00-guides/19-openai-responses.mdx
index b4b7552b80e0..a1a82b7aaa04 100644
--- a/content/docs/02-guides/19-openai-responses.mdx
+++ b/content/cookbook/00-guides/19-openai-responses.mdx
@@ -1,6 +1,7 @@
 ---
 title: OpenAI Responses API
 description: Get started with the OpenAI Responses API using the AI SDK.
+tags: ['getting-started', 'agents']
 ---
 
 # Get started with OpenAI Responses API
@@ -62,6 +63,7 @@ The Responses API supports tool calling out of the box, allowing it to interact
 ```ts
 import { generateText, tool } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import { z } from 'zod';
 
 const { text } = await generateText({
   model: openai.responses('gpt-4o'),
@@ -69,7 +71,7 @@ const { text } = await generateText({
   tools: {
     getWeather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -78,10 +80,11 @@ const { text } = await generateText({
       }),
     }),
   },
+  stopWhen: stepCountIs(5), // enable multi-step 'agentic' LLM calls
 });
 ```
 
-In this example, the `getWeather` tool allows the model to fetch real-time weather data (simulated for simplicity), enhancing its ability to provide accurate and up-to-date information.
+This example demonstrates how `stopWhen` transforms a single LLM call into an agent. The `stopWhen: stepCountIs(5)` parameter allows the model to autonomously call tools, analyze results, and make additional tool calls as needed - turning what would be a simple one-shot completion into an intelligent agent that can chain multiple actions together to complete complex tasks.
 
 ### Web Search Tool
 
diff --git a/content/docs/02-guides/20-sonnet-3-7.mdx b/content/cookbook/00-guides/20-sonnet-3-7.mdx
similarity index 88%
rename from content/docs/02-guides/20-sonnet-3-7.mdx
rename to content/cookbook/00-guides/20-sonnet-3-7.mdx
index be58f0114dfa..000585d7d3d5 100644
--- a/content/docs/02-guides/20-sonnet-3-7.mdx
+++ b/content/cookbook/00-guides/20-sonnet-3-7.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with Claude 3.7 Sonnet
 description: Get started with Claude 3.7 Sonnet using the AI SDK.
+tags: ['getting-started']
 ---
 
 # Get started with Claude 3.7 Sonnet
@@ -79,13 +80,13 @@ Let's explore building a chatbot with [Next.js](https://nextjs.org), the AI SDK,
 
 In a new Next.js application, first install the AI SDK and the Anthropic provider:
 
-<Snippet text="npm install ai @ai-sdk/anthropic" />
+<Snippet text="pnpm install ai@beta @ai-sdk/anthropic@beta" />
 
 Then, create a route handler for the chat endpoint:
 
 ```tsx filename="app/api/chat/route.ts"
 import { anthropic, AnthropicProviderOptions } from '@ai-sdk/anthropic';
-import { streamText, UIMessage, convertToModelMessages } from 'ai';
+import { streamText, convertToModelMessages, type UIMessage } from 'ai';
 
 export async function POST(req: Request) {
   const { messages }: { messages: UIMessage[] } = await req.json();
@@ -117,9 +118,22 @@ Finally, update the root page (`app/page.tsx`) to use the `useChat` hook:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit, error } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({ api: '/api/chat' }),
+  });
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    if (input.trim()) {
+      sendMessage({ text: input });
+      setInput('');
+    }
+  };
 
   return (
     <>
@@ -133,20 +147,18 @@ export default function Page() {
             }
             // reasoning parts:
             if (part.type === 'reasoning') {
-              return (
-                <pre key={index}>
-                  {part.details.map(detail =>
-                    detail.type === 'text' ? detail.text : '<redacted>',
-                  )}
-                </pre>
-              );
+              return <pre key={index}>{part.text}</pre>;
             }
           })}
         </div>
       ))}
       <form onSubmit={handleSubmit}>
-        <input name="prompt" value={input} onChange={handleInputChange} />
-        <button type="submit">Submit</button>
+        <input
+          name="prompt"
+          value={input}
+          onChange={e => setInput(e.target.value)}
+        />
+        <button type="submit">Send</button>
       </form>
     </>
   );
@@ -158,7 +170,7 @@ export default function Page() {
   message `parts`.
 </Note>
 
-The useChat hook on your root page (`app/page.tsx`) will make a request to your AI provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
+The useChat hook on your root page (`app/page.tsx`) will make a request to your LLM provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
 
 ## Get Started
 
diff --git a/content/docs/02-guides/21-llama-3_1.mdx b/content/cookbook/00-guides/21-llama-3_1.mdx
similarity index 99%
rename from content/docs/02-guides/21-llama-3_1.mdx
rename to content/cookbook/00-guides/21-llama-3_1.mdx
index 5dff5c0c199c..92883fa1d10d 100644
--- a/content/docs/02-guides/21-llama-3_1.mdx
+++ b/content/cookbook/00-guides/21-llama-3_1.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with Llama 3.1
 description: Get started with Llama 3.1 using the AI SDK.
+tags: ['getting-started']
 ---
 
 # Get started with Llama 3.1
@@ -131,7 +132,7 @@ const { text } = await generateText({
   tools: {
     getWeather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -174,7 +175,7 @@ const { text: answer } = await generateText({
   tools: {
     calculate: tool({
       description: 'A tool for evaluating mathematical expressions.',
-      parameters: z.object({ expression: z.string() }),
+      inputSchema: z.object({ expression: z.string() }),
       execute: async ({ expression }) => mathjs.evaluate(expression),
     }),
   },
@@ -265,7 +266,7 @@ export async function streamComponent() {
     tools: {
       getWeather: {
         description: 'Get the weather for a location',
-        parameters: z.object({ location: z.string() }),
+        inputSchema: z.object({ location: z.string() }),
         generate: async function* ({ location }) {
           yield <div>loading...</div>;
           const weather = '25c'; // await getWeather(location);
diff --git a/content/docs/02-guides/22-gpt-4-5.mdx b/content/cookbook/00-guides/22-gpt-4-5.mdx
similarity index 98%
rename from content/docs/02-guides/22-gpt-4-5.mdx
rename to content/cookbook/00-guides/22-gpt-4-5.mdx
index 0f2fb1cc4e83..28409d991fe2 100644
--- a/content/docs/02-guides/22-gpt-4-5.mdx
+++ b/content/cookbook/00-guides/22-gpt-4-5.mdx
@@ -1,6 +1,7 @@
 ---
-title: Get started with OpenAI GPT-4.5
-description: Get started with OpenAI GPT-4.5 using the AI SDK.
+title: Get started with GPT-4.5
+description: Get started with GPT-4.5 using the AI SDK.
+tags: ['getting-started']
 ---
 
 # Get started with OpenAI GPT-4.5
@@ -88,7 +89,7 @@ const { text } = await generateText({
   tools: {
     getWeather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
diff --git a/content/docs/02-guides/23-o1.mdx b/content/cookbook/00-guides/23-o1.mdx
similarity index 99%
rename from content/docs/02-guides/23-o1.mdx
rename to content/cookbook/00-guides/23-o1.mdx
index 871e78253415..ce1a740337b2 100644
--- a/content/docs/02-guides/23-o1.mdx
+++ b/content/cookbook/00-guides/23-o1.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with OpenAI o1
 description: Get started with OpenAI o1 using the AI SDK.
+tags: ['getting-started', 'reasoning']
 ---
 
 # Get started with OpenAI o1
@@ -157,7 +158,7 @@ const { text } = await generateText({
   tools: {
     getWeather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
diff --git a/content/docs/02-guides/24-o3.mdx b/content/cookbook/00-guides/24-o3.mdx
similarity index 99%
rename from content/docs/02-guides/24-o3.mdx
rename to content/cookbook/00-guides/24-o3.mdx
index b9b1939256a1..62e6a61b612f 100644
--- a/content/docs/02-guides/24-o3.mdx
+++ b/content/cookbook/00-guides/24-o3.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with OpenAI o3-mini
 description: Get started with OpenAI o3-mini using the AI SDK.
+tags: ['getting-started', 'reasoning']
 ---
 
 # Get started with OpenAI o3-mini
@@ -128,7 +129,7 @@ const { text } = await generateText({
   tools: {
     getWeather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
diff --git a/content/docs/02-guides/25-r1.mdx b/content/cookbook/00-guides/25-r1.mdx
similarity index 90%
rename from content/docs/02-guides/25-r1.mdx
rename to content/cookbook/00-guides/25-r1.mdx
index 8eb61135f442..e92125048e84 100644
--- a/content/docs/02-guides/25-r1.mdx
+++ b/content/cookbook/00-guides/25-r1.mdx
@@ -1,6 +1,7 @@
 ---
 title: Get started with DeepSeek R1
 description: Get started with DeepSeek R1 using the AI SDK.
+tags: ['getting-started', 'reasoning']
 ---
 
 # Get started with DeepSeek R1
@@ -49,7 +50,7 @@ At the center of the AI SDK is [AI SDK Core](/docs/ai-sdk-core/overview), which
 import { deepseek } from '@ai-sdk/deepseek';
 import { generateText } from 'ai';
 
-const { reasoning, text } = await generateText({
+const { reasoningText, text } = await generateText({
   model: deepseek('deepseek-reasoner'),
   prompt: 'Explain quantum entanglement.',
 });
@@ -71,7 +72,7 @@ const enhancedModel = wrapLanguageModel({
   middleware: extractReasoningMiddleware({ tagName: 'think' }),
 });
 
-const { reasoning, text } = await generateText({
+const { reasoningText, text } = await generateText({
   model: enhancedModel,
   prompt: 'Explain quantum entanglement.',
 });
@@ -93,7 +94,7 @@ const enhancedModel = wrapLanguageModel({
   middleware: extractReasoningMiddleware({ tagName: 'think' }),
 });
 
-const { reasoning, text } = await generateText({
+const { reasoningText, text } = await generateText({
   model: enhancedModel,
   prompt: 'Explain quantum entanglement.',
 });
@@ -168,21 +169,42 @@ Finally, update the root page (`app/page.tsx`) to use the `useChat` hook:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit, error } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
+
+  const handleSubmit = (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    if (input.trim()) {
+      sendMessage({ text: input });
+      setInput('');
+    }
+  };
 
   return (
     <>
       {messages.map(message => (
         <div key={message.id}>
           {message.role === 'user' ? 'User: ' : 'AI: '}
-          {message.reasoning && <pre>{message.reasoning}</pre>}
-          {message.content}
+          {message.parts.map((part, index) => {
+            if (part.type === 'reasoning') {
+              return <pre key={index}>{part.text}</pre>;
+            }
+            if (part.type === 'text') {
+              return <span key={index}>{part.text}</span>;
+            }
+            return null;
+          })}
         </div>
       ))}
       <form onSubmit={handleSubmit}>
-        <input name="prompt" value={input} onChange={handleInputChange} />
+        <input
+          name="prompt"
+          value={input}
+          onChange={e => setInput(e.target.value)}
+        />
         <button type="submit">Submit</button>
       </form>
     </>
@@ -191,8 +213,8 @@ export default function Page() {
 ```
 
 <Note>
-  You can access the model's reasoning tokens with the `reasoning` property on
-  the `message` object.
+  You can access the model's reasoning tokens through the `parts` array on the
+  `message` object, where reasoning parts have `type: 'reasoning'`.
 </Note>
 
 The useChat hook on your root page (`app/page.tsx`) will make a request to your AI provider endpoint (`app/api/chat/route.ts`) whenever the user submits a message. The messages are then displayed in the chat UI.
diff --git a/content/docs/02-guides/index.mdx b/content/cookbook/00-guides/index.mdx
similarity index 84%
rename from content/docs/02-guides/index.mdx
rename to content/cookbook/00-guides/index.mdx
index bd0730f9c8ba..273d5f00381a 100644
--- a/content/docs/02-guides/index.mdx
+++ b/content/cookbook/00-guides/index.mdx
@@ -30,5 +30,10 @@ These use-case specific guides are intended to help you build real applications
       description: 'Get started with OpenAI o1 using the AI SDK.',
       href: '/docs/guides/o1',
     },
+    {
+      title: 'Get started with Gemini 2.5',
+      description: 'Get started with Gemini 2.5 using the AI SDK.',
+      href: '/docs/guides/gemini-2-5',
+    },
   ]}
 />
diff --git a/content/cookbook/01-next/10-generate-text.mdx b/content/cookbook/01-next/10-generate-text.mdx
index a98a7b81b2ff..c30985db2867 100644
--- a/content/cookbook/01-next/10-generate-text.mdx
+++ b/content/cookbook/01-next/10-generate-text.mdx
@@ -58,14 +58,14 @@ export default function Page() {
 Let's create a route handler for `/api/completion` that will generate text based on the input prompt. The route will call the `generateText` function from the `ai` module, which will then generate text based on the input prompt and return it.
 
 ```typescript filename='app/api/completion/route.ts'
-import { generateText } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import { generateText } from 'ai';
 
 export async function POST(req: Request) {
   const { prompt }: { prompt: string } = await req.json();
 
   const { text } = await generateText({
-    model: openai('gpt-4'),
+    model: openai('gpt-4o'),
     system: 'You are a helpful assistant.',
     prompt,
   });
diff --git a/content/cookbook/01-next/11-generate-text-with-chat-prompt.mdx b/content/cookbook/01-next/11-generate-text-with-chat-prompt.mdx
index ce6824c86140..d0c65c462b09 100644
--- a/content/cookbook/01-next/11-generate-text-with-chat-prompt.mdx
+++ b/content/cookbook/01-next/11-generate-text-with-chat-prompt.mdx
@@ -31,7 +31,7 @@ Let's start by creating a simple chat interface with an input field that sends t
 ```tsx filename='app/page.tsx'
 'use client';
 
-import { ModelMessage } from 'ai';
+import type { ModelMessage } from 'ai';
 import { useState } from 'react';
 
 export default function Page() {
@@ -90,14 +90,14 @@ export default function Page() {
 Next, let's create the `/api/chat` endpoint that generates the assistant's response based on the conversation history.
 
 ```typescript filename='app/api/chat/route.ts'
-import { ModelMessage, generateText } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import { generateText, type ModelMessage } from 'ai';
 
 export async function POST(req: Request) {
   const { messages }: { messages: ModelMessage[] } = await req.json();
 
   const { response } = await generateText({
-    model: openai('gpt-4'),
+    model: openai('gpt-4o'),
     system: 'You are a helpful assistant.',
     messages,
   });
diff --git a/content/cookbook/01-next/12-generate-image-with-chat-prompt.mdx b/content/cookbook/01-next/12-generate-image-with-chat-prompt.mdx
index 91ec5f8ba54f..a37e0e57b7ad 100644
--- a/content/cookbook/01-next/12-generate-image-with-chat-prompt.mdx
+++ b/content/cookbook/01-next/12-generate-image-with-chat-prompt.mdx
@@ -12,46 +12,55 @@ When building a chatbot, you may want to allow the user to generate an image. Th
 
 Let's create an endpoint at `/api/chat` that generates the assistant's response based on the conversation history. You will also define a tool called `generateImage` that will generate an image based on the assistant's response.
 
+```typescript filename='tools/get-weather.ts'
+import { openai } from '@ai-sdk/openai';
+import { experimental_generateImage, tool } from 'ai';
+import z from 'zod';
+
+export const generateImage = tool({
+  description: 'Generate an image',
+  inputSchema: z.object({
+    prompt: z.string().describe('The prompt to generate the image from'),
+  }),
+  execute: async ({ prompt }) => {
+    const { image } = await experimental_generateImage({
+      model: openai.imageModel('dall-e-3'),
+      prompt,
+    });
+    // in production, save this image to blob storage and return a URL
+    return { image: image.base64, prompt };
+  },
+});
+```
+
 ```typescript filename='app/api/chat/route.ts'
 import { openai } from '@ai-sdk/openai';
-import { experimental_generateImage, Message, streamText, tool } from 'ai';
-import { z } from 'zod';
+import {
+  convertToModelMessages,
+  type InferUITools,
+  stepCountIs,
+  streamText,
+  type UIMessage,
+} from 'ai';
+
+import { generateImage } from '@/tools/get-weather';
+
+const tools = {
+  generateImage,
+};
+
+export type ChatTools = InferUITools<typeof tools>;
 
 export async function POST(request: Request) {
-  const { messages }: { messages: Message[] } = await request.json();
-
-  // filter through messages and remove base64 image data to avoid sending to the model
-  const formattedMessages = messages.map(m => {
-    if (m.role === 'assistant' && m.toolInvocations) {
-      m.toolInvocations.forEach(ti => {
-        if (ti.toolName === 'generateImage' && ti.state === 'result') {
-          ti.result.image = `redacted-for-length`;
-        }
-      });
-    }
-    return m;
-  });
+  const { messages }: { messages: UIMessage[] } = await request.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
-    messages: formattedMessages,
-    tools: {
-      generateImage: tool({
-        description: 'Generate an image',
-        parameters: z.object({
-          prompt: z.string().describe('The prompt to generate the image from'),
-        }),
-        execute: async ({ prompt }) => {
-          const { image } = await experimental_generateImage({
-            model: openai.image('dall-e-3'),
-            prompt,
-          });
-          // in production, save this image to blob storage and return a URL
-          return { image: image.base64, prompt };
-        },
-      }),
-    },
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools,
   });
+
   return result.toUIMessageStreamResponse();
 }
 ```
@@ -70,39 +79,80 @@ Let's create a simple chat interface with `useChat`. You will call the `/api/cha
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport, type UIMessage } from 'ai';
 import Image from 'next/image';
+import { type FormEvent, useState } from 'react';
+import type { ChatTools } from './api/chat/route';
+
+type ChatMessage = UIMessage<never, never, ChatTools>;
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat<ChatMessage>({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+
+  const handleInputChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    setInput(event.target.value);
+  };
+
+  const handleSubmit = async (event: FormEvent<HTMLFormElement>) => {
+    event.preventDefault();
+
+    sendMessage({
+      parts: [{ type: 'text', text: input }],
+    });
+
+    setInput('');
+  };
 
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
       <div className="space-y-4">
-        {messages.map(m => (
-          <div key={m.id} className="whitespace-pre-wrap">
-            <div key={m.id}>
-              <div className="font-bold">{m.role}</div>
-              {m.toolInvocations ? (
-                m.toolInvocations.map(ti =>
-                  ti.toolName === 'generateImage' ? (
-                    ti.state === 'result' ? (
+        {messages.map(message => (
+          <div key={message.id} className="whitespace-pre-wrap">
+            <div key={message.id}>
+              <div className="font-bold">{message.role}</div>
+              {message.parts.map((part, partIndex) => {
+                const { type } = part;
+
+                if (type === 'text') {
+                  return (
+                    <div key={`${message.id}-part-${partIndex}`}>
+                      {part.text}
+                    </div>
+                  );
+                }
+
+                if (type === 'tool-generateImage') {
+                  const { state, toolCallId } = part;
+
+                  if (state === 'input-available') {
+                    return (
+                      <div key={`${message.id}-part-${partIndex}`}>
+                        Generating image...
+                      </div>
+                    );
+                  }
+
+                  if (state === 'output-available') {
+                    const { input, output } = part;
+
+                    return (
                       <Image
-                        key={ti.toolCallId}
-                        src={`data:image/png;base64,${ti.result.image}`}
-                        alt={ti.result.prompt}
+                        key={toolCallId}
+                        src={`data:image/png;base64,${output.image}`}
+                        alt={input.prompt}
                         height={400}
                         width={400}
                       />
-                    ) : (
-                      <div key={ti.toolCallId} className="animate-pulse">
-                        Generating image...
-                      </div>
-                    )
-                  ) : null,
-                )
-              ) : (
-                <p>{m.content}</p>
-              )}
+                    );
+                  }
+                }
+              })}
             </div>
           </div>
         ))}
diff --git a/content/cookbook/01-next/122-caching-middleware.mdx b/content/cookbook/01-next/122-caching-middleware.mdx
index 28e50cb7d8e8..22ba135f14f5 100644
--- a/content/cookbook/01-next/122-caching-middleware.mdx
+++ b/content/cookbook/01-next/122-caching-middleware.mdx
@@ -6,6 +6,8 @@ tags: ['next', 'streaming', 'caching', 'middleware']
 
 # Caching Middleware
 
+<Note type="warning">This example is not yet updated to v5.</Note>
+
 Let's create a simple chat interface that uses [`LanguageModelMiddleware`](/docs/ai-sdk-core/middleware) to cache the assistant's responses in fast KV storage.
 
 ## Client
@@ -181,7 +183,7 @@ export async function POST(req: Request) {
     tools: {
       weather: tool({
         description: 'Get the weather in a location',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => ({
diff --git a/content/cookbook/01-next/20-stream-text.mdx b/content/cookbook/01-next/20-stream-text.mdx
index fcfdfe4d605a..b34cbbce0a80 100644
--- a/content/cookbook/01-next/20-stream-text.mdx
+++ b/content/cookbook/01-next/20-stream-text.mdx
@@ -47,8 +47,8 @@ export default function Page() {
 Let's create a route handler for `/api/completion` that will generate text based on the input prompt. The route will call the `streamText` function from the `ai` module, which will then generate text based on the input prompt and stream it to the client.
 
 ```typescript filename='app/api/completion/route.ts'
-import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import { streamText } from 'ai';
 
 export async function POST(req: Request) {
   const { prompt }: { prompt: string } = await req.json();
diff --git a/content/cookbook/01-next/21-stream-text-with-chat-prompt.mdx b/content/cookbook/01-next/21-stream-text-with-chat-prompt.mdx
index c3f2bd9c1b09..58faba40ab96 100644
--- a/content/cookbook/01-next/21-stream-text-with-chat-prompt.mdx
+++ b/content/cookbook/01-next/21-stream-text-with-chat-prompt.mdx
@@ -31,9 +31,17 @@ Let's create a React component that imports the `useChat` hook from the `@ai-sdk
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, setInput, append } = useChat();
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
 
   return (
     <div>
@@ -44,13 +52,21 @@ export default function Page() {
         }}
         onKeyDown={async event => {
           if (event.key === 'Enter') {
-            append({ content: input, role: 'user' });
+            sendMessage({
+              parts: [{ type: 'text', text: input }],
+            });
           }
         }}
       />
 
       {messages.map((message, index) => (
-        <div key={index}>{message.content}</div>
+        <div key={index}>
+          {message.parts.map(part => {
+            if (part.type === 'text') {
+              return <div key={`${message.id}-text`}>{part.text}</div>;
+            }
+          })}
+        </div>
       ))}
     </div>
   );
@@ -62,8 +78,8 @@ export default function Page() {
 Next, let's create the `/api/chat` endpoint that generates the assistant's response based on the conversation history.
 
 ```typescript filename='app/api/chat/route.ts'
-import { streamText, UIMessage } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamText, type UIMessage } from 'ai';
 
 export async function POST(req: Request) {
   const { messages }: { messages: UIMessage[] } = await req.json();
@@ -71,7 +87,7 @@ export async function POST(req: Request) {
   const result = streamText({
     model: openai('gpt-4o'),
     system: 'You are a helpful assistant.',
-    messages,
+    messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/cookbook/01-next/22-stream-text-with-image-prompt.mdx b/content/cookbook/01-next/22-stream-text-with-image-prompt.mdx
index 077f58b9ea3b..b20a62190d2b 100644
--- a/content/cookbook/01-next/22-stream-text-with-image-prompt.mdx
+++ b/content/cookbook/01-next/22-stream-text-with-image-prompt.mdx
@@ -6,14 +6,13 @@ tags: ['next', 'streaming', 'multimodal']
 
 # Stream Text with Image Prompt
 
-Vision models such as GPT-4 can process both text and images. In this example, we will show you how to send an image URL along with the user's message to the model.
+Vision models such as GPT-4o can process both text and images. In this example, we will show you how to send an image URL along with the user's message to the model with `useChat`.
 
 ## Using Image URLs
 
 ### Server
 
-We split the user's message into two parts: the text and the image URL. We then send both parts to the model.
-The last message is the user's message, and we add the image URL to it.
+The server route uses `convertToModelMessages` to handle the conversion from `UIMessage`s to model messages, which automatically handles multimodal content including images.
 
 ```tsx filename='app/api/chat/route.ts' highlight="8,9,23"
 import { openai } from '@ai-sdk/openai';
@@ -22,25 +21,12 @@ import { streamText } from 'ai';
 export const maxDuration = 60;
 
 export async function POST(req: Request) {
-  // 'data' contains the additional data that you have sent:
-  const { messages, data } = await req.json();
-
-  const initialMessages = messages.slice(0, -1);
-  const currentMessage = messages[messages.length - 1];
+  const { messages } = await req.json();
 
   // Call the language model
   const result = streamText({
     model: openai('gpt-4.1'),
-    messages: [
-      ...initialMessages,
-      {
-        role: 'user',
-        content: [
-          { type: 'text', text: currentMessage.content },
-          { type: 'image', image: new URL(data.imageUrl) },
-        ],
-      },
-    ],
+    messages: convertToModelMessages(messages),
   });
 
   // Respond with the stream
@@ -50,40 +36,95 @@ export async function POST(req: Request) {
 
 ### Client
 
-On the client we can send the image URL along with the user's message by adding the `data` object to the `handleSubmit` function.
-You can replace the `imageUrl` with the actual URL of the image you want to send.
+On the client side, we use the new `useChat` hook and send multimodal messages using the `parts` array.
 
-```typescript filename='app/page.tsx' highlight="18-20"
+```typescript filename='app/page.tsx'
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+  const [imageUrl, setImageUrl] = useState(
+    'https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png',
+  );
+
+  const { messages, sendMessage } = useChat();
+
+  const handleSubmit = async (event: React.FormEvent<HTMLFormElement>) => {
+    event.preventDefault();
+    sendMessage({
+      role: 'user',
+      parts: [
+        // check if imageUrl is defined, if so, add it to the message
+        ...(imageUrl.trim().length > 0
+          ? [
+              {
+                type: 'file' as const,
+                mediaType: 'image/png',
+                url: imageUrl,
+              },
+            ]
+          : []),
+        { type: 'text' as const, text: input },
+      ],
+    });
+    setInput('');
+    setImageUrl('');
+  };
+
   return (
     <div>
-      {messages.map(m => (
-        <div key={m.id}>
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
+      <div>
+        {messages.map(m => (
+          <div key={m.id}>
+            <span>{m.role === 'user' ? 'User: ' : 'AI: '}</span>
+            <div>
+              {m.parts.map((part, i) => {
+                switch (part.type) {
+                  case 'text':
+                    return part.text;
+                  case 'file':
+                    return (
+                      <img
+                        key={(part.filename || 'image') + i}
+                        src={part.url}
+                        alt={part.filename ?? 'image'}
+                      />
+                    );
+                  default:
+                    return null;
+                }
+              })}
+            </div>
+          </div>
+        ))}
+      </div>
+      <form onSubmit={handleSubmit}>
+        <div>
+          <label htmlFor="image-url">Image URL:</label>
+          <input
+            id="image-url"
+            value={imageUrl}
+            placeholder="Enter image URL..."
+            onChange={e => setImageUrl(e.currentTarget.value)}
+          />
+        </div>
+        <div>
+          <label htmlFor="image-description">Prompt:</label>
+          <input
+            id="image-description"
+            value={input}
+            placeholder="What does the image show..."
+            onChange={e => setInput(e.currentTarget.value)}
+          />
         </div>
-      ))}
-
-      <form
-        onSubmit={e => {
-          handleSubmit(e, {
-            data: { imageUrl: 'https://somewhere.com/image.png' },
-          });
-        }}
-      >
-        <input
-          value={input}
-          placeholder="What does the image show..."
-          onChange={handleInputChange}
-        />
+        <button type="submit">Send Message</button>
       </form>
     </div>
   );
diff --git a/content/cookbook/01-next/23-chat-with-pdf.mdx b/content/cookbook/01-next/23-chat-with-pdf.mdx
index b8a2c486edca..62b3d0e6e403 100644
--- a/content/cookbook/01-next/23-chat-with-pdf.mdx
+++ b/content/cookbook/01-next/23-chat-with-pdf.mdx
@@ -22,17 +22,15 @@ Some language models like Anthropic's Claude Sonnet 3.5 and Google's Gemini 2.0
 Create a route handler that will use Anthropic's Claude model to process messages and PDFs:
 
 ```tsx filename="app/api/chat/route.ts"
-import { anthropic } from '@ai-sdk/anthropic';
-import { streamText } from 'ai';
-
-export const maxDuration = 30;
+import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamText, type UIMessage } from 'ai';
 
 export async function POST(req: Request) {
-  const { messages } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
-    model: anthropic('claude-3-5-sonnet-latest'),
-    messages,
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse();
@@ -47,59 +45,84 @@ Create a chat interface that allows uploading PDFs alongside messages:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
 import { useRef, useState } from 'react';
-import Image from 'next/image';
+
+async function convertFilesToDataURLs(
+  files: FileList,
+): Promise<
+  { type: 'file'; filename: string; mediaType: string; url: string }[]
+> {
+  return Promise.all(
+    Array.from(files).map(
+      file =>
+        new Promise<{
+          type: 'file';
+          filename: string;
+          mediaType: string;
+          url: string;
+        }>((resolve, reject) => {
+          const reader = new FileReader();
+          reader.onload = () => {
+            resolve({
+              type: 'file',
+              filename: file.name,
+              mediaType: file.type,
+              url: reader.result as string, // Data URL
+            });
+          };
+          reader.onerror = reject;
+          reader.readAsDataURL(file);
+        }),
+    ),
+  );
+}
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
 
   const [files, setFiles] = useState<FileList | undefined>(undefined);
   const fileInputRef = useRef<HTMLInputElement>(null);
 
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages.map(m => (
-        <div key={m.id} className="whitespace-pre-wrap">
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
-          <div>
-            {m?.experimental_attachments
-              ?.filter(
-                attachment =>
-                  attachment?.contentType?.startsWith('image/') ||
-                  attachment?.contentType?.startsWith('application/pdf'),
-              )
-              .map((attachment, index) =>
-                attachment.contentType?.startsWith('image/') ? (
-                  <Image
-                    key={`${m.id}-${index}`}
-                    src={attachment.url}
-                    width={500}
-                    height={500}
-                    alt={attachment.name ?? `attachment-${index}`}
-                  />
-                ) : attachment.contentType?.startsWith('application/pdf') ? (
-                  <iframe
-                    key={`${m.id}-${index}`}
-                    src={attachment.url}
-                    width="500"
-                    height="600"
-                    title={attachment.name ?? `attachment-${index}`}
-                  />
-                ) : null,
-              )}
-          </div>
+      {messages.map(message => (
+        <div key={message.id} className="whitespace-pre-wrap">
+          {message.role === 'user' ? 'User: ' : 'AI: '}
+
+          {message.parts.map(part => {
+            if (part.type === 'text') {
+              return <div key={`${message.id}-text`}>{part.text}</div>;
+            }
+          })}
+
+          <div></div>
         </div>
       ))}
 
       <form
         className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl space-y-2"
-        onSubmit={event => {
-          handleSubmit(event, {
-            experimental_attachments: files,
+        onSubmit={async event => {
+          event.preventDefault();
+
+          const fileParts =
+            files && files.length > 0
+              ? await convertFilesToDataURLs(files)
+              : [];
+
+          sendMessage({
+            role: 'user',
+            parts: [{ type: 'text', text: input }, ...fileParts],
           });
 
           setFiles(undefined);
+          setInput('');
 
           if (fileInputRef.current) {
             fileInputRef.current.value = '';
@@ -108,7 +131,6 @@ export default function Chat() {
       >
         <input
           type="file"
-          className=""
           onChange={event => {
             if (event.target.files) {
               setFiles(event.target.files);
@@ -117,11 +139,14 @@ export default function Chat() {
           multiple
           ref={fileInputRef}
         />
+
         <input
           className="w-full p-2"
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={event => {
+            setInput(event.target.value);
+          }}
         />
       </form>
     </div>
diff --git a/content/cookbook/01-next/24-stream-text-multistep.mdx b/content/cookbook/01-next/24-stream-text-multistep.mdx
index ff1f3244466a..82fd9190a05b 100644
--- a/content/cookbook/01-next/24-stream-text-multistep.mdx
+++ b/content/cookbook/01-next/24-stream-text-multistep.mdx
@@ -4,27 +4,33 @@ description: Learn how to create several streamText steps with different setting
 tags: ['next', 'streaming']
 ---
 
-# Stream Text Multi-Step
+# streamText Multi-Step Agent
 
 You may want to have different steps in your stream where each step has different settings,
 e.g. models, tools, or system prompts.
 
-With `createDataStreamResponse` and `sendFinish` / `sendStart` options when merging
-into the data stream, you can control when the finish and start events are sent to the client,
+With `createUIMessageStream` and `sendFinish` / `sendStart` options when merging
+into the `UIMessageStream`, you can control when the finish and start events are sent to the client,
 allowing you to have different steps in a single assistant UI message.
 
 ## Server
 
 ```typescript filename='app/api/chat/route.ts'
 import { openai } from '@ai-sdk/openai';
-import { createDataStreamResponse, streamText, tool } from 'ai';
+import {
+  convertToModelMessages,
+  createUIMessageStream,
+  createUIMessageStreamResponse,
+  streamText,
+  tool,
+} from 'ai';
 import { z } from 'zod';
 
 export async function POST(req: Request) {
   const { messages } = await req.json();
 
-  return createDataStreamResponse({
-    execute: async dataStream => {
+  const stream = createUIMessageStream({
+    execute: async ({ writer }) => {
       // step 1 example: forced tool call
       const result1 = streamText({
         model: openai('gpt-4o-mini'),
@@ -33,16 +39,14 @@ export async function POST(req: Request) {
         toolChoice: 'required', // force the model to call a tool
         tools: {
           extractGoal: tool({
-            parameters: z.object({ goal: z.string() }),
+            inputSchema: z.object({ goal: z.string() }),
             execute: async ({ goal }) => goal, // no-op extract tool
           }),
         },
       });
 
       // forward the initial result to the client without the finish event:
-      result1.mergeIntoDataStream(dataStream, {
-        experimental_sendFinish: false, // omit the finish event
-      });
+      writer.merge(result1.toUIMessageStream({ sendFinish: false }));
 
       // note: you can use any programming construct here, e.g. if-else, loops, etc.
       // workflow programming is normal programming with this approach.
@@ -61,11 +65,11 @@ export async function POST(req: Request) {
       });
 
       // forward the 2nd result to the client (incl. the finish event):
-      result2.mergeIntoDataStream(dataStream, {
-        experimental_sendStart: false, // omit the start event
-      });
+      writer.merge(result2.toUIMessageStream({ sendStart: false }));
     },
   });
+
+  return createUIMessageStreamResponse({ stream });
 }
 ```
 
@@ -75,9 +79,11 @@ export async function POST(req: Request) {
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
 
   return (
     <div>
@@ -88,19 +94,21 @@ export default function Chat() {
             switch (part.type) {
               case 'text':
                 return <span key={index}>{part.text}</span>;
-              case 'tool-invocation': {
-                return (
-                  <pre key={index}>
-                    {JSON.stringify(part.toolInvocation, null, 2)}
-                  </pre>
-                );
+              case 'tool-extractGoal': {
+                return <pre key={index}>{JSON.stringify(part, null, 2)}</pre>;
               }
             }
           })}
         </div>
       ))}
-      <form onSubmit={handleSubmit}>
-        <input value={input} onChange={handleInputChange} />
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
+        <input value={input} onChange={e => setInput(e.currentTarget.value)} />
       </form>
     </div>
   );
diff --git a/content/cookbook/01-next/25-markdown-chatbot-with-memoization.mdx b/content/cookbook/01-next/25-markdown-chatbot-with-memoization.mdx
index 91e45f554080..66bf55ada84b 100644
--- a/content/cookbook/01-next/25-markdown-chatbot-with-memoization.mdx
+++ b/content/cookbook/01-next/25-markdown-chatbot-with-memoization.mdx
@@ -12,24 +12,30 @@ As conversations get longer and more complex, this performance impact becomes ex
 
 This recipe uses memoization - a performance optimization technique where the results of expensive function calls are cached and reused to avoid unnecessary re-computation. In this case, parsed Markdown blocks are memoized to prevent them from being re-parsed and re-rendered on each token update, which means that once a block is fully parsed, it's cached and reused rather than being regenerated. This approach significantly improves rendering performance for long conversations by eliminating redundant parsing and rendering operations.
 
+## Installation
+
+First, install the required dependencies for Markdown rendering and parsing:
+
+```bash
+npm install react-markdown marked
+```
+
 ## Server
 
 On the server, you use a simple route handler that streams the response from the language model.
 
 ```tsx filename='app/api/chat/route.ts'
 import { openai } from '@ai-sdk/openai';
-import { streamText } from 'ai';
-
-export const maxDuration = 60;
+import { convertToModelMessages, streamText, type UIMessage } from 'ai';
 
 export async function POST(req: Request) {
-  const { messages } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
     system:
       'You are a helpful assistant. Respond to the user in Markdown format.',
     model: openai('gpt-4o'),
-    messages,
+    messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse();
@@ -80,46 +86,73 @@ MemoizedMarkdown.displayName = 'MemoizedMarkdown';
 Finally, on the client, use the `useChat` hook to manage the chat state and render the chat interface. You can use the `MemoizedMarkdown` component to render the message contents in Markdown format without compromising on performance. Additionally, you can render the form in its own component so as to not trigger unnecessary re-renders of the chat messages. You can also use the `experimental_throttle` option that will throttle data updates to a specified interval, helping to manage rendering performance.
 
 ```typescript filename='app/page.tsx'
-'use client';
+"use client";
 
-import { useChat } from '@ai-sdk/react';
-import { MemoizedMarkdown } from '@/components/memoized-markdown';
+import { Chat, useChat } from "@ai-sdk/react";
+import { DefaultChatTransport } from "ai";
+import { useState } from "react";
+import { MemoizedMarkdown } from "@/components/memoized-markdown";
+
+const chat = new Chat({
+  transport: new DefaultChatTransport({
+    api: "/api/chat",
+  }),
+});
 
 export default function Page() {
-  const { messages } = useChat({
-    id: 'chat',
-    // Throttle the messages and data updates to 50ms:
-    experimental_throttle: 50,
-  });
+  const { messages } = useChat({ chat, experimental_throttle: 50 });
 
   return (
     <div className="flex flex-col w-full max-w-xl py-24 mx-auto stretch">
       <div className="space-y-8 mb-4">
-        {messages.map(message => (
+        {messages.map((message) => (
           <div key={message.id}>
             <div className="font-bold mb-2">
-              {message.role === 'user' ? 'You' : 'Assistant'}
+              {message.role === "user" ? "You" : "Assistant"}
             </div>
             <div className="prose space-y-2">
-              <MemoizedMarkdown id={message.id} content={message.content} />
+              {message.parts.map((part) => {
+                if (part.type === "text") {
+                  return (
+                    <MemoizedMarkdown
+                      key={`${message.id}-text`}
+                      id={message.id}
+                      content={part.text}
+                    />
+                  );
+                }
+              })}
             </div>
           </div>
         ))}
       </div>
+
       <MessageInput />
     </div>
   );
 }
 
 const MessageInput = () => {
-  const { input, handleSubmit, handleInputChange } = useChat({ id: 'chat' });
+  const [input, setInput] = useState("");
+  const { sendMessage } = useChat({ chat });
+
   return (
-    <form onSubmit={handleSubmit}>
+    <form
+      onSubmit={(event) => {
+        event.preventDefault();
+        sendMessage({
+          text: input,
+        });
+        setInput("");
+      }}
+    >
       <input
         className="fixed bottom-0 w-full max-w-xl p-2 mb-8 dark:bg-zinc-900 border border-zinc-300 dark:border-zinc-800 rounded shadow-xl"
         placeholder="Say something..."
         value={input}
-        onChange={handleInputChange}
+        onChange={(event) => {
+          setInput(event.target.value);
+        }}
       />
     </form>
   );
@@ -127,7 +160,7 @@ const MessageInput = () => {
 ```
 
 <Note>
-  The chat state is shared between both components by using the same `id` value.
-  This allows you to split the form and chat messages into separate components
-  while maintaining synchronized state.
+  The chat state is shared between both components by using the same `Chat`
+  instance. This allows you to split the form and chat messages into separate
+  components while maintaining synchronized state.
 </Note>
diff --git a/content/cookbook/01-next/30-generate-object.mdx b/content/cookbook/01-next/30-generate-object.mdx
index 0edab747b703..65fec1484033 100644
--- a/content/cookbook/01-next/30-generate-object.mdx
+++ b/content/cookbook/01-next/30-generate-object.mdx
@@ -71,7 +71,11 @@ export default function Page() {
         Generate
       </div>
 
-      {isLoading ? 'Loading...' : <pre>{JSON.stringify(generation)}</pre>}
+      {isLoading ? (
+        'Loading...'
+      ) : (
+        <pre>{JSON.stringify(generation, null, 2)}</pre>
+      )}
     </div>
   );
 }
@@ -90,7 +94,7 @@ export async function POST(req: Request) {
   const { prompt }: { prompt: string } = await req.json();
 
   const result = await generateObject({
-    model: openai('gpt-4'),
+    model: openai('gpt-4o'),
     system: 'You generate three notifications for a messages app.',
     prompt,
     schema: z.object({
diff --git a/content/cookbook/01-next/31-generate-object-with-file-prompt.mdx b/content/cookbook/01-next/31-generate-object-with-file-prompt.mdx
index 4bdcbe607296..574295021cdc 100644
--- a/content/cookbook/01-next/31-generate-object-with-file-prompt.mdx
+++ b/content/cookbook/01-next/31-generate-object-with-file-prompt.mdx
@@ -8,7 +8,8 @@ tags: ['next', 'multi-modal']
 
 <Note>
   This feature is limited to models/providers that support PDF inputs
-  ([Anthropic](/providers/ai-sdk-providers/anthropic#pdf-support), [Google
+  ([Anthropic](/providers/ai-sdk-providers/anthropic#pdf-support),
+  [OpenAI](/providers/ai-sdk-providers/openai#pdf-support), [Google
   Gemini](/providers/ai-sdk-providers/google-generative-ai#file-inputs), and
   [Google Vertex](/providers/ai-sdk-providers/google-vertex#file-inputs)).
 </Note>
@@ -56,7 +57,9 @@ export default function Page() {
           Submit{loading && 'ing...'}
         </button>
       </form>
-      {description && <pre>{description}</pre>}
+      {description && (
+        <pre>{JSON.stringify(JSON.parse(description), null, 2)}</pre>
+      )}
     </div>
   );
 }
@@ -67,16 +70,26 @@ export default function Page() {
 On the server, create an API route that receives the PDF, sends it to the LLM, and returns the result. This example uses the [ `generateObject` ](/docs/reference/ai-sdk-core/generate-object) function to generate the summary as part of a structured output.
 
 ```typescript file="app/api/analyze/route.ts"
+import { openai } from '@ai-sdk/openai';
 import { generateObject } from 'ai';
-import { anthropic } from '@ai-sdk/anthropic';
 import { z } from 'zod';
 
 export async function POST(request: Request) {
   const formData = await request.formData();
   const file = formData.get('pdf') as File;
 
+  // Convert the file's arrayBuffer to a Base64 data URL
+  const arrayBuffer = await file.arrayBuffer();
+  const uint8Array = new Uint8Array(arrayBuffer);
+
+  // Convert Uint8Array to an array of characters
+  const charArray = Array.from(uint8Array, byte => String.fromCharCode(byte));
+  const binaryString = charArray.join('');
+  const base64Data = btoa(binaryString);
+  const fileDataUrl = `data:application/pdf;base64,${base64Data}`;
+
   const result = await generateObject({
-    model: anthropic('claude-3-5-sonnet-latest'),
+    model: openai('gpt-4o'),
     messages: [
       {
         role: 'user',
@@ -87,17 +100,23 @@ export async function POST(request: Request) {
           },
           {
             type: 'file',
-            data: await file.arrayBuffer(),
+            data: fileDataUrl,
             mediaType: 'application/pdf',
           },
         ],
       },
     ],
     schema: z.object({
-      summary: z.string().describe('A 50 word summary of the PDF.'),
+      people: z
+        .object({
+          name: z.string().describe('The name of the person.'),
+          age: z.number().min(0).describe('The age of the person.'),
+        })
+        .array()
+        .describe('An array of people.'),
     }),
   });
 
-  return new Response(result.object.summary);
+  return Response.json(result.object);
 }
 ```
diff --git a/content/cookbook/01-next/40-stream-object.mdx b/content/cookbook/01-next/40-stream-object.mdx
index a85dd8203493..3fea595c5dc6 100644
--- a/content/cookbook/01-next/40-stream-object.mdx
+++ b/content/cookbook/01-next/40-stream-object.mdx
@@ -194,7 +194,8 @@ On the client, you wrap the schema in `z.array()` to generate an array of object
 'use client';
 
 import { experimental_useObject as useObject } from '@ai-sdk/react';
-import { notificationSchema } from './api/use-object/schema';
+import { notificationSchema } from '../api/use-object/schema';
+import z from 'zod';
 
 export default function Page() {
   const { object, submit, isLoading, stop } = useObject({
@@ -222,8 +223,8 @@ export default function Page() {
 
       {object?.map((notification, index) => (
         <div key={index}>
-          <p>{notification.name}</p>
-          <p>{notification.message}</p>
+          <p>{notification?.name}</p>
+          <p>{notification?.message}</p>
         </div>
       ))}
     </div>
@@ -295,12 +296,7 @@ export default function Page() {
         </div>
       )}
 
-      {object?.map((notification, index) => (
-        <div key={index}>
-          <p>{notification.name}</p>
-          <p>{notification.message}</p>
-        </div>
-      ))}
+      {JSON.stringify(object, null, 2)}
     </div>
   );
 }
@@ -313,7 +309,6 @@ On the server, specify `output: 'no-schema'`.
 ```typescript filename='app/api/use-object/route.ts'
 import { openai } from '@ai-sdk/openai';
 import { streamObject } from 'ai';
-import { notificationSchema } from './schema';
 
 export const maxDuration = 30;
 
@@ -321,10 +316,11 @@ export async function POST(req: Request) {
   const context = await req.json();
 
   const result = streamObject({
-    model: openai('gpt-4.1'),
+    model: openai('gpt-4o'),
     output: 'no-schema',
     prompt:
-      `Generate 3 notifications for a messages app in this context:` + context,
+      `Generate 3 notifications (in JSON) for a messages app in this context:` +
+      context,
   });
 
   return result.toTextStreamResponse();
diff --git a/content/cookbook/01-next/70-call-tools.mdx b/content/cookbook/01-next/70-call-tools.mdx
index 13c9d5bb918e..86d4ecb0f8d2 100644
--- a/content/cookbook/01-next/70-call-tools.mdx
+++ b/content/cookbook/01-next/70-call-tools.mdx
@@ -30,35 +30,56 @@ Some models allow developers to provide a list of tools that can be called at an
 
 Let's create a React component that imports the `useChat` hook from the `@ai-sdk/react` module. The `useChat` hook will call the `/api/chat` endpoint when the user sends a message. The endpoint will generate the assistant's response based on the conversation history and stream it to the client. If the assistant responds with a tool call, the hook will automatically display them as well.
 
-We will use the `maxSteps` to specify the maximum number of steps (i.e., LLM calls) that can be made to prevent infinite loops. In this example, you will set it to `2` to allow for two backend calls to happen.
-
 ```tsx filename='app/page.tsx'
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
+import type { ChatMessage } from './api/chat/route';
 
 export default function Page() {
-  const { messages, input, setInput, append } = useChat({
-    api: '/api/chat',
-    maxSteps: 2,
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat<ChatMessage>({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
   });
 
   return (
     <div>
       <input
+        className="border"
         value={input}
         onChange={event => {
           setInput(event.target.value);
         }}
         onKeyDown={async event => {
           if (event.key === 'Enter') {
-            append({ content: input, role: 'user' });
+            sendMessage({
+              text: input,
+            });
+            setInput('');
           }
         }}
       />
 
       {messages.map((message, index) => (
-        <div key={index}>{message.content}</div>
+        <div key={index}>
+          {message.parts.map(part => {
+            switch (part.type) {
+              case 'text':
+                return <div key={`${message.id}-text`}>{part.text}</div>;
+              case 'tool-getWeather':
+                return (
+                  <div key={`${message.id}-weather`}>
+                    {JSON.stringify(part, null, 2)}
+                  </div>
+                );
+            }
+          })}
+        </div>
       ))}
     </div>
   );
@@ -74,42 +95,52 @@ You will use the [`tools`](/docs/reference/ai-sdk-core/generate-text#tools) para
 You will also use zod to specify the schema for the `celsiusToFahrenheit` function's parameters.
 
 ```tsx filename='app/api/chat/route.ts'
-import { ToolInvocation, streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import {
+  type InferUITools,
+  type ToolSet,
+  type UIDataTypes,
+  type UIMessage,
+  convertToModelMessages,
+  stepCountIs,
+  streamText,
+  tool,
+} from 'ai';
 import { z } from 'zod';
 
-interface Message {
-  role: 'user' | 'assistant';
-  content: string;
-  toolInvocations?: ToolInvocation[];
-}
+const tools: ToolSet = {
+  getWeather: tool({
+    description: 'Get the weather for a location',
+    inputSchema: z.object({
+      city: z.string().describe('The city to get the weather for'),
+      unit: z
+        .enum(['C', 'F'])
+        .describe('The unit to display the temperature in'),
+    }),
+    execute: async ({ city, unit }) => {
+      const weather = {
+        value: 24,
+        description: 'Sunny',
+      };
+
+      return `It is currently ${weather.value}°${unit} and ${weather.description} in ${city}!`;
+    },
+  }),
+};
+
+export type ChatTools = InferUITools<typeof tools>;
+
+export type ChatMessage = UIMessage<never, UIDataTypes, ChatTools>;
 
 export async function POST(req: Request) {
-  const { messages }: { messages: Message[] } = await req.json();
+  const { messages }: { messages: ChatMessage[] } = await req.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
     system: 'You are a helpful assistant.',
-    messages,
-    tools: {
-      getWeather: {
-        description: 'Get the weather for a location',
-        parameters: z.object({
-          city: z.string().describe('The city to get the weather for'),
-          unit: z
-            .enum(['C', 'F'])
-            .describe('The unit to display the temperature in'),
-        }),
-        execute: async ({ city, unit }) => {
-          const weather = {
-            value: 24,
-            description: 'Sunny',
-          };
-
-          return `It is currently ${weather.value}°${unit} and ${weather.description} in ${city}!`;
-        },
-      },
-    },
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools,
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/cookbook/01-next/71-call-tools-in-parallel.mdx b/content/cookbook/01-next/71-call-tools-in-parallel.mdx
deleted file mode 100644
index 4da64b243497..000000000000
--- a/content/cookbook/01-next/71-call-tools-in-parallel.mdx
+++ /dev/null
@@ -1,121 +0,0 @@
----
-title: Call Tools in Parallel
-description: Learn how to call tools in parallel using the AI SDK and Next.js
-tags: ['next', 'streaming', 'tool use']
----
-
-# Call Tools in Parallel
-
-Some language models support calling tools in parallel. This is particularly useful when multiple tools are independent of each other and can be executed in parallel during the same generation step.
-
-<Browser>
-  <ChatGeneration
-    history={[
-      { role: 'User', content: 'How is it going?' },
-      { role: 'Assistant', content: 'All good, how may I help you?' },
-    ]}
-    inputMessage={{
-      role: 'User',
-      content: 'What is the weather in Paris and New York?',
-    }}
-    outputMessage={{
-      role: 'Assistant',
-      content:
-        'The weather is 24°C in New York and 25°C in Paris. It is sunny in both cities.',
-    }}
-  />
-</Browser>
-
-## Client
-
-Let's create a React component that imports the `useChat` hook from the `@ai-sdk/react` module. The `useChat` hook will call the `/api/chat` endpoint when the user sends a message. The endpoint will generate the assistant's response based on the conversation history and stream it to the client. If the assistant responds with a tool call, the hook will automatically display them as well.
-
-You will use the `maxSteps` to specify the maximum number of steps that can made before the model or the user responds with a text message. In this example, you will set it to `2` to allow for another call with the tool result to happen.
-
-```tsx filename='app/page.tsx'
-'use client';
-
-import { useChat } from '@ai-sdk/react';
-
-export default function Page() {
-  const { messages, input, setInput, append } = useChat({
-    api: '/api/chat',
-    maxSteps: 2,
-  });
-
-  return (
-    <div>
-      <input
-        value={input}
-        onChange={event => {
-          setInput(event.target.value);
-        }}
-        onKeyDown={async event => {
-          if (event.key === 'Enter') {
-            append({ content: input, role: 'user' });
-          }
-        }}
-      />
-
-      {messages.map((message, index) => (
-        <div key={index}>{message.content}</div>
-      ))}
-    </div>
-  );
-}
-```
-
-## Server
-
-You will create a new route at `/api/chat` that will use the `streamText` function from the `ai` module to generate the assistant's response based on the conversation history.
-
-You will use the [`tools`](/docs/reference/ai-sdk-core/generate-text#tools) parameter to specify a tool called `getWeather` that will get the weather for a location.
-
-You will add the `getWeather` function and use zod to specify the schema for its parameters.
-
-```ts filename='app/api/chat/route.ts'
-import { ToolInvocation, streamText } from 'ai';
-import { openai } from '@ai-sdk/openai';
-import { z } from 'zod';
-
-interface Message {
-  role: 'user' | 'assistant';
-  content: string;
-  toolInvocations?: ToolInvocation[];
-}
-
-function getWeather({ city, unit }) {
-  return { value: 25, description: 'Sunny' };
-}
-
-export async function POST(req: Request) {
-  const { messages }: { messages: Message[] } = await req.json();
-
-  const result = streamText({
-    model: openai('gpt-4o'),
-    system: 'You are a helpful assistant.',
-    messages,
-    tools: {
-      getWeather: {
-        description: 'Get the weather for a location',
-        parameters: z.object({
-          city: z.string().describe('The city to get the weather for'),
-          unit: z
-            .enum(['C', 'F'])
-            .describe('The unit to display the temperature in'),
-        }),
-        execute: async ({ city, unit }) => {
-          const { value, description } = getWeather({ city, unit });
-          return `It is currently ${value}°${unit} and ${description} in ${city}!`;
-        },
-      },
-    },
-  });
-
-  return result.toUIMessageStreamResponse();
-}
-```
-
----
-
-<GithubLink link="https://github.com/vercel/ai/blob/main/examples/next-openai-pages/pages/tools/call-tools-in-parallel/index.tsx" />
diff --git a/content/cookbook/01-next/72-call-tools-multiple-steps.mdx b/content/cookbook/01-next/72-call-tools-multiple-steps.mdx
index ca62cea3e6b1..917729b9ccf6 100644
--- a/content/cookbook/01-next/72-call-tools-multiple-steps.mdx
+++ b/content/cookbook/01-next/72-call-tools-multiple-steps.mdx
@@ -12,35 +12,57 @@ Some language models are great at calling tools in multiple steps to achieve a m
 
 Let's create a React component that imports the `useChat` hook from the `@ai-sdk/react` module. The `useChat` hook will call the `/api/chat` endpoint when the user sends a message. The endpoint will generate the assistant's response based on the conversation history and stream it to the client. If the assistant responds with a tool call, the hook will automatically display them as well.
 
-To call tools in multiple steps, you can use the `maxSteps` option to specify the maximum number of steps that can be made before the model or the user responds with a text message. In this example, you will set it to `5` to allow for multiple tool calls.
-
 ```tsx filename='app/page.tsx'
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
+import type { ChatMessage } from './api/chat/route';
 
 export default function Page() {
-  const { messages, input, setInput, append } = useChat({
-    api: '/api/chat',
-    maxSteps: 5,
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat<ChatMessage>({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
   });
 
   return (
     <div>
       <input
+        className="border"
         value={input}
         onChange={event => {
           setInput(event.target.value);
         }}
         onKeyDown={async event => {
           if (event.key === 'Enter') {
-            append({ content: input, role: 'user' });
+            sendMessage({
+              text: input,
+            });
+            setInput('');
           }
         }}
       />
 
       {messages.map((message, index) => (
-        <div key={index}>{message.content}</div>
+        <div key={index}>
+          {message.parts.map((part, i) => {
+            switch (part.type) {
+              case 'text':
+                return <div key={`${message.id}-text`}>{part.text}</div>;
+              case 'tool-getLocation':
+              case 'tool-getWeather':
+                return (
+                  <div key={`${message.id}-weather-${i}`}>
+                    {JSON.stringify(part, null, 2)}
+                  </div>
+                );
+            }
+          })}
+        </div>
       ))}
     </div>
   );
@@ -55,56 +77,63 @@ You will use the [`tools`](/docs/reference/ai-sdk-core/generate-text#tools) para
 
 You will add the two functions mentioned earlier and use zod to specify the schema for its parameters.
 
+To call tools in multiple steps, you can use the `stopWhen` option to specify the stopping conditions for when the model generates a tool call. In this example, you will set it to `stepCountIs(5)` to allow for multiple consecutive tool calls (steps).
+
 ```ts filename='app/api/chat/route.ts'
-import { ToolInvocation, streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
+import {
+  type InferUITools,
+  type ToolSet,
+  type UIDataTypes,
+  type UIMessage,
+  convertToModelMessages,
+  stepCountIs,
+  streamText,
+  tool,
+} from 'ai';
 import { z } from 'zod';
 
-interface Message {
-  role: 'user' | 'assistant';
-  content: string;
-  toolInvocations?: ToolInvocation[];
-}
+const tools: ToolSet = {
+  getLocation: tool({
+    description: 'Get the location of the user',
+    inputSchema: z.object({}),
+    execute: async () => {
+      const location = { lat: 37.7749, lon: -122.4194 };
+      return `Your location is at latitude ${location.lat} and longitude ${location.lon}`;
+    },
+  }),
+  getWeather: tool({
+    description: 'Get the weather for a location',
+    inputSchema: z.object({
+      city: z.string().describe('The city to get the weather for'),
+      unit: z
+        .enum(['C', 'F'])
+        .describe('The unit to display the temperature in'),
+    }),
+    execute: async ({ city, unit }) => {
+      const weather = {
+        value: 24,
+        description: 'Sunny',
+      };
+
+      return `It is currently ${weather.value}°${unit} and ${weather.description} in ${city}!`;
+    },
+  }),
+};
 
-function getLocation({ lat, lon }) {
-  return { lat: 37.7749, lon: -122.4194 };
-}
+export type ChatTools = InferUITools<typeof tools>;
 
-function getWeather({ lat, lon, unit }) {
-  return { value: 25, description: 'Sunny' };
-}
+export type ChatMessage = UIMessage<never, UIDataTypes, ChatTools>;
 
 export async function POST(req: Request) {
-  const { messages }: { messages: Message[] } = await req.json();
+  const { messages }: { messages: ChatMessage[] } = await req.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
     system: 'You are a helpful assistant.',
-    messages,
-    tools: {
-      getLocation: {
-        description: 'Get the location of the user',
-        parameters: z.object({}),
-        execute: async () => {
-          const { lat, lon } = getLocation();
-          return `Your location is at latitude ${lat} and longitude ${lon}`;
-        },
-      },
-      getWeather: {
-        description: 'Get the weather for a location',
-        parameters: z.object({
-          lat: z.number().describe('The latitude of the location'),
-          lon: z.number().describe('The longitude of the location'),
-          unit: z
-            .enum(['C', 'F'])
-            .describe('The unit to display the temperature in'),
-        }),
-        execute: async ({ lat, lon, unit }) => {
-          const { value, description } = getWeather({ lat, lon, unit });
-          return `It is currently ${value}°${unit} and ${description}!`;
-        },
-      },
-    },
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools,
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/cookbook/01-next/73-mcp-tools.mdx b/content/cookbook/01-next/73-mcp-tools.mdx
index 13570ea2fe7b..f6ea163630f8 100644
--- a/content/cookbook/01-next/73-mcp-tools.mdx
+++ b/content/cookbook/01-next/73-mcp-tools.mdx
@@ -20,6 +20,8 @@ To use the `StreamableHTTPClientTransport`, you will need to install the officia
 import { experimental_createMCPClient, streamText } from 'ai';
 import { Experimental_StdioMCPTransport } from 'ai/mcp-stdio';
 import { openai } from '@ai-sdk/openai';
+import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio';
+import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse';
 import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp';
 
 export async function POST(req: Request) {
@@ -27,33 +29,34 @@ export async function POST(req: Request) {
 
   try {
     // Initialize an MCP client to connect to a `stdio` MCP server:
-    const transport = new Experimental_StdioMCPTransport({
+    const transport = new StdioClientTransport({
       command: 'node',
       args: ['src/stdio/dist/server.js'],
     });
+
     const stdioClient = await experimental_createMCPClient({
       transport,
     });
 
-    // Alternatively, you can connect to a Server-Sent Events (SSE) MCP server:
-    const sseClient = await experimental_createMCPClient({
-      transport: {
-        type: 'sse',
-        url: 'https://actions.zapier.com/mcp/[YOUR_KEY]/sse',
-      },
+    // You can also connect to StreamableHTTP MCP servers
+    const httpTransport = new StreamableHTTPClientTransport(
+      new URL('http://localhost:3000/mcp'),
+    );
+    const httpClient = await experimental_createMCPClient({
+      transport: httpTransport,
     });
 
-    // Similarly to the stdio example, you can pass in your own custom transport as long as it implements the `MCPTransport` interface (e.g. `StreamableHTTPClientTransport`):
-    const transport = new StreamableHTTPClientTransport(
-      new URL('http://localhost:3000/mcp'),
+    // Alternatively, you can connect to a Server-Sent Events (SSE) MCP server:
+    const sseTransport = new SSEClientTransport(
+      new URL('http://localhost:3000/sse'),
     );
-    const customClient = await experimental_createMCPClient({
-      transport,
+    const sseClient = await experimental_createMCPClient({
+      transport: sseTransport,
     });
 
     const toolSetOne = await stdioClient.tools();
-    const toolSetTwo = await sseClient.tools();
-    const toolSetThree = await customClient.tools();
+    const toolSetTwo = await httpClient.tools();
+    const toolSetThree = await sseClient.tools();
     const tools = {
       ...toolSetOne,
       ...toolSetTwo,
@@ -67,16 +70,16 @@ export async function POST(req: Request) {
       // When streaming, the client should be closed after the response is finished:
       onFinish: async () => {
         await stdioClient.close();
+        await httpClient.close();
         await sseClient.close();
-        await customClient.close();
       },
       // Closing clients onError is optional
       // - Closing: Immediately frees resources, prevents hanging connections
       // - Not closing: Keeps connection open for retries
       onError: async error => {
         await stdioClient.close();
+        await httpClient.close();
         await sseClient.close();
-        await customClient.close();
       },
     });
 
diff --git a/content/cookbook/01-next/75-human-in-the-loop.mdx b/content/cookbook/01-next/75-human-in-the-loop.mdx
index a390623239ab..1736a2f69e1f 100644
--- a/content/cookbook/01-next/75-human-in-the-loop.mdx
+++ b/content/cookbook/01-next/75-human-in-the-loop.mdx
@@ -1,5 +1,5 @@
 ---
-title: Human-in-the-Loop with Next.js
+title: Human-in-the-Loop Agent with Next.js
 description: Add a human approval step to your agentic system with Next.js and the AI SDK
 tags: ['next', 'agents', 'tool use']
 ---
@@ -12,15 +12,22 @@ When building agentic systems, it's important to add human-in-the-loop (HITL) fu
 
 To understand how to implement this functionality, let's look at how tool calling works in a simple Next.js chatbot application with the AI SDK.
 
-On the frontend, use the `useChat` hook to manage the message state and user interaction (including input and form submission handlers).
+On the frontend, use the `useChat` hook to manage the message state and user interaction.
 
 ```tsx filename="app/page.tsx"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+  const [input, setInput] = useState('');
 
   return (
     <div>
@@ -39,11 +46,19 @@ export default function Chat() {
         ))}
       </div>
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
         <input
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
         />
       </form>
     </div>
@@ -51,26 +66,35 @@ export default function Chat() {
 }
 ```
 
-On the backend, create a route handler (API Route) that returns a `DataStreamResponse`. Within the execute function, call `streamText` and pass in the `messages` (sent from the client). Finally, merge the resulting generation into the data stream.
+On the backend, create a route handler (API Route) that returns a `UIMessageStreamResponse`. Within the execute function of `createUIMessageStream`, call `streamText` and pass in the converted `messages` (sent from the client). Finally, merge the resulting generation into the `UIMessageStream`.
 
 ```ts filename="api/chat/route.ts"
 import { openai } from '@ai-sdk/openai';
-import { createDataStreamResponse, streamText, tool } from 'ai';
+import {
+  createUIMessageStreamResponse,
+  createUIMessageStream,
+  streamText,
+  tool,
+  convertToModelMessages,
+  stepCountIs,
+  UIMessage,
+} from 'ai';
 import { z } from 'zod';
 
 export async function POST(req: Request) {
-  const { messages } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
-  return createDataStreamResponse({
-    execute: async dataStream => {
+  const stream = createUIMessageStream({
+    execute: async ({ writer }) => {
       const result = streamText({
         model: openai('gpt-4o'),
-        messages,
+        messages: convertToModelMessages(messages),
         tools: {
           getWeatherInformation: tool({
             description: 'show the weather in a given city to the user',
-            parameters: z.object({ city: z.string() }),
-            execute: async ({}: { city: string }) => {
+            inputSchema: z.object({ city: z.string() }),
+            outputSchema: z.string(),
+            execute: async ({ city }) => {
               const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy'];
               return weatherOptions[
                 Math.floor(Math.random() * weatherOptions.length)
@@ -78,19 +102,22 @@ export async function POST(req: Request) {
             },
           }),
         },
+        stopWhen: stepCountIs(5),
       });
 
-      result.mergeIntoDataStream(dataStream);
+      writer.merge(result.toUIMessageStream({ originalMessages: messages }));
     },
   });
+
+  return createUIMessageStreamResponse(stream);
 }
 ```
 
 What happens if you ask the LLM for the weather in New York?
 
-The LLM has one tool available, `weather`, which requires a `location` to run. This tool will, as stated in the tool's `description`, "show the weather in a given city to the user". If the LLM decides that the `weather` tool could answer the user's query, it would generate a `ToolCall`, extracting the `location` from the context. The AI SDK would then run the associated `execute` function, passing in the `location` parameter, and finally returning a `ToolResult`.
+The LLM has one tool available, `weather`, which requires a `location` to run. This tool will, as stated in the tool's `description`, "show the weather in a given city to the user". If the LLM decides that the `weather` tool could answer the user's query, it would generate a `ToolCall`, extracting the `location` from the context. The AI SDK would then run the associated `execute` function, passing in the `location` parameter, and finally returning a tool result.
 
-To introduce a HITL step you will add a confirmation step to this process in between the `ToolCall` and the `ToolResult`.
+To introduce a HITL step you will add a confirmation step to this process in between the tool call and the tool result.
 
 ## Adding a Confirmation Step
 
@@ -108,31 +135,42 @@ At a high level, you will:
 
 To implement HITL functionality, you start by omitting the `execute` function from the tool definition. This allows the frontend to intercept the tool call and handle the responsibility of adding the final tool result to the tool call.
 
-```ts filename="api/chat/route.ts" highlight="17"
+```ts filename="api/chat/route.ts" highlight="18"
 import { openai } from '@ai-sdk/openai';
-import { createDataStreamResponse, streamText, tool } from 'ai';
+import {
+  createUIMessageStreamResponse,
+  createUIMessageStream,
+  streamText,
+  tool,
+  convertToModelMessages,
+  stepCountIs,
+} from 'ai';
 import { z } from 'zod';
 
 export async function POST(req: Request) {
   const { messages } = await req.json();
 
-  return createDataStreamResponse({
-    execute: async dataStream => {
+  const stream = createUIMessageStream({
+    execute: async ({ writer }) => {
       const result = streamText({
         model: openai('gpt-4o'),
-        messages,
+        messages: convertToModelMessages(messages),
         tools: {
           getWeatherInformation: tool({
             description: 'show the weather in a given city to the user',
-            parameters: z.object({ city: z.string() }),
+            inputSchema: z.object({ city: z.string() }),
+            outputSchema: z.string(),
             // execute function removed to stop automatic execution
           }),
         },
+        stopWhen: stepCountIs(5),
       });
 
-      result.mergeIntoDataStream(dataStream);
+      writer.merge(result.toUIMessageStream({ originalMessages: messages })); // pass in original messages to avoid duplicate assistant messages
     },
   });
+
+  return createUIMessageStreamResponse(stream);
 }
 ```
 
@@ -151,10 +189,22 @@ You can check if the tool requiring confirmation has been called and, if so, pre
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  isToolUIPart,
+  getToolName,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, addToolResult } =
-    useChat();
+  const { messages, addToolResult, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+    sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+  });
+  const [input, setInput] = useState('');
 
   return (
     <div>
@@ -163,46 +213,50 @@ export default function Chat() {
           <div key={m.id}>
             <strong>{`${m.role}: `}</strong>
             {m.parts?.map((part, i) => {
-              switch (part.type) {
-                case 'text':
-                  return <div key={i}>{part.text}</div>;
-                case 'tool-invocation':
-                  const toolInvocation = part.toolInvocation;
-                  const toolCallId = toolInvocation.toolCallId;
-
-                  // render confirmation tool (client-side tool with user interaction)
-                  if (
-                    toolInvocation.toolName === 'getWeatherInformation' &&
-                    toolInvocation.state === 'call'
-                  ) {
-                    return (
-                      <div key={toolCallId}>
-                        Get weather information for {toolInvocation.args.city}?
-                        <div>
-                          <button
-                            onClick={() =>
-                              addToolResult({
-                                toolCallId,
-                                result: 'Yes, confirmed.',
-                              })
-                            }
-                          >
-                            Yes
-                          </button>
-                          <button
-                            onClick={() =>
-                              addToolResult({
-                                toolCallId,
-                                result: 'No, denied.',
-                              })
-                            }
-                          >
-                            No
-                          </button>
-                        </div>
+              if (part.type === 'text') {
+                return <div key={i}>{part.text}</div>;
+              }
+              if (isToolUIPart(part)) {
+                const toolName = getToolName(part);
+                const toolCallId = part.toolCallId;
+
+                // render confirmation tool (client-side tool with user interaction)
+                if (
+                  toolName === 'getWeatherInformation' &&
+                  part.state === 'input-available'
+                ) {
+                  return (
+                    <div key={toolCallId}>
+                      Get weather information for {part.input.city}?
+                      <div>
+                        <button
+                          onClick={async () => {
+                            await addToolResult({
+                              toolCallId,
+                              tool: toolName,
+                              output: 'Yes, confirmed.',
+                            });
+                            sendMessage();
+                          }}
+                        >
+                          Yes
+                        </button>
+                        <button
+                          onClick={async () => {
+                            await addToolResult({
+                              toolCallId,
+                              tool: toolName,
+                              output: 'No, denied.',
+                            });
+                            sendMessage();
+                          }}
+                        >
+                          No
+                        </button>
                       </div>
-                    );
-                  }
+                    </div>
+                  );
+                }
               }
             })}
             <br />
@@ -210,11 +264,19 @@ export default function Chat() {
         ))}
       </div>
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
         <input
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
         />
       </form>
     </div>
@@ -223,76 +285,82 @@ export default function Chat() {
 ```
 
 <Note>
-  The `addToolResult` function will trigger a call to your route handler.
+  The `sendMessage()` function after `addToolResult` will trigger a call to your
+  route handler. In this example, `sendMessage()` is called automatically when
+  tool calls are complete because we set `sendAutomaticallyWhen:
+  lastAssistantMessageIsCompleteWithToolCalls`. Without this option, you would
+  need to manually call `sendMessage()` after `await addToolResult()`.
 </Note>
 
 ### Handle Confirmation Response
 
-Adding a tool result will trigger another call to your route handler. Before sending the new messages to the language model, you pull out the last message and map through the message parts to see if the tool requiring confirmation was called and whether it's in a "result" state. If those conditions are met, you check the confirmation state (the tool result state that you set on the frontend with the `addToolResult` function).
+Adding a tool result and sending the message will trigger another call to your route handler. Before sending the new messages to the language model, you pull out the last message and map through the message parts to see if the tool requiring confirmation was called and whether it's in a "result" state. If those conditions are met, you check the confirmation state (the tool result state that you set on the frontend with the `addToolResult` function).
 
 ```ts filename="api/chat/route.ts"
 import { openai } from '@ai-sdk/openai';
 import {
-  createDataStreamResponse,
-  formatDataStreamPart,
-  Message,
+  createUIMessageStreamResponse,
+  createUIMessageStream,
   streamText,
   tool,
+  convertToModelMessages,
+  stepCountIs,
+  isToolUIPart,
+  getToolName,
+  UIMessage,
 } from 'ai';
 import { z } from 'zod';
 
 export async function POST(req: Request) {
-  const { messages }: { messages: Message[] } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
-  return createDataStreamResponse({
-    execute: async dataStream => {
+  const stream = createUIMessageStream({
+    execute: async ({ writer }) => {
       // pull out last message
       const lastMessage = messages[messages.length - 1];
 
       lastMessage.parts = await Promise.all(
         // map through all message parts
         lastMessage.parts?.map(async part => {
-          if (part.type !== 'tool-invocation') {
+          if (!isToolUIPart(part)) {
             return part;
           }
-          const toolInvocation = part.toolInvocation;
-          // return if tool isn't weather tool or in a result state
+          const toolName = getToolName(part);
+          // return if tool isn't weather tool or in a output-available state
           if (
-            toolInvocation.toolName !== 'getWeatherInformation' ||
-            toolInvocation.state !== 'result'
+            toolName !== 'getWeatherInformation' ||
+            part.state !== 'output-available'
           ) {
             return part;
           }
 
-          // switch through tool result states (set on the frontend)
-          switch (toolInvocation.result) {
+          // switch through tool output states (set on the frontend)
+          switch (part.output) {
             case 'Yes, confirmed.': {
-              const result = await executeWeatherTool(toolInvocation.args);
+              const result = await executeWeatherTool(part.input);
 
               // forward updated tool result to the client:
-              dataStream.write(
-                formatDataStreamPart('tool_result', {
-                  toolCallId: toolInvocation.toolCallId,
-                  result,
-                }),
-              );
+              writer.write({
+                type: 'tool-output-available',
+                toolCallId: part.toolCallId,
+                output: result,
+              });
 
               // update the message part:
-              return { ...part, toolInvocation: { ...toolInvocation, result } };
+              return { ...part, output: result };
             }
             case 'No, denied.': {
               const result = 'Error: User denied access to weather information';
 
               // forward updated tool result to the client:
-              dataStream.write(
-                formatDataStreamPart('tool_result', {
-                  toolCallId: toolInvocation.toolCallId,
-                  result,
-                }),
-              );
+              writer.write({
+                type: 'tool-output-available',
+                toolCallId: part.toolCallId,
+                output: result,
+              });
 
               // update the message part:
-              return { ...part, toolInvocation: { ...toolInvocation, result } };
+              return { ...part, output: result };
             }
             default:
               return part;
@@ -302,21 +370,25 @@ export async function POST(req: Request) {
 
       const result = streamText({
         model: openai('gpt-4o'),
-        messages,
+        messages: convertToModelMessages(messages),
         tools: {
           getWeatherInformation: tool({
             description: 'show the weather in a given city to the user',
-            parameters: z.object({ city: z.string() }),
+            inputSchema: z.object({ city: z.string() }),
+            outputSchema: z.string(),
           }),
         },
+        stopWhen: stepCountIs(5),
       });
 
-      result.mergeIntoDataStream(dataStream);
+      writer.merge(result.toUIMessageStream({ originalMessages: messages }));
     },
   });
+
+  return createUIMessageStreamResponse(stream);
 }
 
-async function executeWeatherTool({}: { city: string }) {
+async function executeWeatherTool({ city }: { city: string }) {
   const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy'];
   return weatherOptions[Math.floor(Math.random() * weatherOptions.length)];
 }
@@ -330,18 +402,71 @@ After handling the tool result, your API route continues. This triggers another
 
 The solution above is low-level and not very friendly to use in a production environment. You can build your own abstraction using these concepts
 
+## Move tool declarations to their own file
+
+First, you will need to move tool declarations to their own file:
+
+```ts filename="tools.ts"
+import { tool, ToolSet } from 'ai';
+import { z } from 'zod';
+
+const getWeatherInformation = tool({
+  description: 'show the weather in a given city to the user',
+  inputSchema: z.object({ city: z.string() }),
+  outputSchema: z.string(), // must define outputSchema
+  // no execute function, we want human in the loop
+});
+
+const getLocalTime = tool({
+  description: 'get the local time for a specified location',
+  inputSchema: z.object({ location: z.string() }),
+  outputSchema: z.string(),
+  // including execute function -> no confirmation required
+  execute: async ({ location }) => {
+    console.log(`Getting local time for ${location}`);
+    return '10am';
+  },
+});
+
+export const tools = {
+  getWeatherInformation,
+  getLocalTime,
+} satisfies ToolSet;
+```
+
+In this file, you have two tools, `getWeatherInformation` (requires confirmation to run) and `getLocalTime`.
+
+### Create Type Definitions
+
+Create a types file to define a custom message type:
+
+```ts filename="types.ts"
+import { InferUITools, UIDataTypes, UIMessage } from 'ai';
+import { tools } from './tools';
+
+export type MyTools = InferUITools<typeof tools>;
+
+// Define custom message type
+export type HumanInTheLoopUIMessage = UIMessage<
+  never, // metadata type
+  UIDataTypes, // data parts type
+  MyTools // tools type
+>;
+```
+
 ### Create Utility Functions
 
 ```ts filename="utils.ts"
 import {
-  formatDataStreamPart,
-  Message,
   convertToModelMessages,
-  DataStreamWriter,
-  ToolExecutionOptions,
+  Tool,
+  ToolCallOptions,
   ToolSet,
+  UIMessageStreamWriter,
+  getToolName,
+  isToolUIPart,
 } from 'ai';
-import { z } from 'zod';
+import { HumanInTheLoopUIMessage } from './types';
 
 // Approval string to be shared across frontend and backend
 export const APPROVAL = {
@@ -361,7 +486,7 @@ function isValidToolName<K extends PropertyKey, T extends object>(
  *
  * @param options - The function options
  * @param options.tools - Map of tool names to Tool instances that may expose execute functions
- * @param options.dataStream - Data stream for sending results back to the client
+ * @param options.writer - UIMessageStream writer for sending results back to the client
  * @param options.messages - Array of messages to process
  * @param executionFunctions - Map of tool names to execute functions
  * @returns Promise resolving to the processed messages
@@ -375,20 +500,20 @@ export async function processToolCalls<
   },
 >(
   {
-    dataStream,
+    writer,
     messages,
   }: {
     tools: Tools; // used for type inference
-    dataStream: DataStreamWriter;
-    messages: Message[];
+    writer: UIMessageStreamWriter;
+    messages: HumanInTheLoopUIMessage[];
   },
   executeFunctions: {
     [K in keyof Tools & keyof ExecutableTools]?: (
-      args: z.infer<ExecutableTools[K]['parameters']>,
-      context: ToolExecutionOptions,
+      args: any,
+      context: ToolCallOptions,
     ) => Promise<any>;
   },
-): Promise<Message[]> {
+): Promise<HumanInTheLoopUIMessage[]> {
   const lastMessage = messages[messages.length - 1];
   const parts = lastMessage.parts;
   if (!parts) return messages;
@@ -396,36 +521,35 @@ export async function processToolCalls<
   const processedParts = await Promise.all(
     parts.map(async part => {
       // Only process tool invocations parts
-      if (part.type !== 'tool-invocation') return part;
+      if (!isToolUIPart(part)) return part;
 
-      const { toolInvocation } = part;
-      const toolName = toolInvocation.toolName;
+      const toolName = getToolName(part);
 
-      // Only continue if we have an execute function for the tool (meaning it requires confirmation) and it's in a 'result' state
-      if (!(toolName in executeFunctions) || toolInvocation.state !== 'result')
+      // Only continue if we have an execute function for the tool (meaning it requires confirmation) and it's in a 'output-available' state
+      if (!(toolName in executeFunctions) || part.state !== 'output-available')
         return part;
 
       let result;
 
-      if (toolInvocation.result === APPROVAL.YES) {
+      if (part.output === APPROVAL.YES) {
         // Get the tool and check if the tool has an execute function.
         if (
           !isValidToolName(toolName, executeFunctions) ||
-          toolInvocation.state !== 'result'
+          part.state !== 'output-available'
         ) {
           return part;
         }
 
-        const toolInstance = executeFunctions[toolName];
+        const toolInstance = executeFunctions[toolName] as Tool['execute'];
         if (toolInstance) {
-          result = await toolInstance(toolInvocation.args, {
+          result = await toolInstance(part.input, {
             messages: convertToModelMessages(messages),
-            toolCallId: toolInvocation.toolCallId,
+            toolCallId: part.toolCallId,
           });
         } else {
           result = 'Error: No execute function found on tool';
         }
-      } else if (toolInvocation.result === APPROVAL.NO) {
+      } else if (part.output === APPROVAL.NO) {
         result = 'Error: User denied access to tool execution';
       } else {
         // For any unhandled responses, return the original part.
@@ -433,20 +557,16 @@ export async function processToolCalls<
       }
 
       // Forward updated tool result to the client.
-      dataStream.write(
-        formatDataStreamPart('tool_result', {
-          toolCallId: toolInvocation.toolCallId,
-          result,
-        }),
-      );
+      writer.write({
+        type: 'tool-output-available',
+        toolCallId: part.toolCallId,
+        output: result,
+      });
 
       // Return updated toolInvocation with the actual result.
       return {
         ...part,
-        toolInvocation: {
-          ...toolInvocation,
-          result,
-        },
+        output: result,
       };
     }),
   );
@@ -465,7 +585,7 @@ export function getToolsRequiringConfirmation<T extends ToolSet>(
 }
 ```
 
-In this file, you first declare the confirmation strings as constants so we can share them across the frontend and backend (reducing possible errors). Next, we create function called `processToolCalls` which takes in the `messages`, `tools`, and the `datastream`. It also takes in a second parameter, `executeFunction`, which is an object that maps `toolName` to the functions that will be run upon human confirmation. This function is strongly typed so:
+In this file, you first declare the confirmation strings as constants so we can share them across the frontend and backend (reducing possible errors). Next, we create function called `processToolCalls` which takes in the `messages`, `tools`, and the `writer`. It also takes in a second parameter, `executeFunction`, which is an object that maps `toolName` to the functions that will be run upon human confirmation. This function is strongly typed so:
 
 - it autocompletes `executableTools` - these are tools without an execute function
 - provides full type-safety for arguments and options available within the `execute` function
@@ -474,60 +594,38 @@ Unlike the low-level example, this will return a modified array of `messages` th
 
 Finally, you declare a function called `getToolsRequiringConfirmation` that takes your tools as an argument and then will return the names of your tools without execute functions (in an array of strings). This avoids the need to manually write out and check for `toolName`'s on the frontend.
 
-In order to use these utility functions, you will need to move tool declarations to their own file:
-
-```ts filename="tools.ts"
-import { tool } from 'ai';
-import { z } from 'zod';
-
-const getWeatherInformation = tool({
-  description: 'show the weather in a given city to the user',
-  parameters: z.object({ city: z.string() }),
-  // no execute function, we want human in the loop
-});
-
-const getLocalTime = tool({
-  description: 'get the local time for a specified location',
-  parameters: z.object({ location: z.string() }),
-  // including execute function -> no confirmation required
-  execute: async ({ location }) => {
-    console.log(`Getting local time for ${location}`);
-    return '10am';
-  },
-});
-
-export const tools = {
-  getWeatherInformation,
-  getLocalTime,
-};
-```
-
-In this file, you have two tools, `getWeatherInformation` (requires confirmation to run) and `getLocalTime`.
-
 ### Update Route Handler
 
 Update your route handler to use the `processToolCalls` utility function.
 
 ```ts filename="app/api/chat/route.ts"
 import { openai } from '@ai-sdk/openai';
-import { createDataStreamResponse, Message, streamText } from 'ai';
+import {
+  createUIMessageStreamResponse,
+  createUIMessageStream,
+  streamText,
+  convertToModelMessages,
+  stepCountIs,
+} from 'ai';
 import { processToolCalls } from './utils';
 import { tools } from './tools';
+import { HumanInTheLoopUIMessage } from './types';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  const { messages }: { messages: Message[] } = await req.json();
+  const { messages }: { messages: HumanInTheLoopUIMessage[] } =
+    await req.json();
 
-  return createDataStreamResponse({
-    execute: async dataStream => {
+  const stream = createUIMessageStream({
+    execute: async ({ writer }) => {
       // Utility function to handle tools that require human confirmation
       // Checks for confirmation in last message and then runs associated tool
       const processedMessages = await processToolCalls(
         {
           messages,
-          dataStream,
+          writer,
           tools,
         },
         {
@@ -543,13 +641,18 @@ export async function POST(req: Request) {
 
       const result = streamText({
         model: openai('gpt-4o'),
-        messages: processedMessages,
+        messages: convertToModelMessages(processedMessages),
         tools,
+        stopWhen: stepCountIs(5),
       });
 
-      result.mergeIntoDataStream(dataStream);
+      writer.merge(
+        result.toUIMessageStream({ originalMessages: processedMessages }),
+      );
     },
   });
+
+  return createUIMessageStreamResponse({ stream });
 }
 ```
 
@@ -560,102 +663,118 @@ Finally, update the frontend to use the new `getToolsRequiringConfirmation` func
 ```tsx filename="app/page.tsx"
 'use client';
 
-import { Message, useChat } from '@ai-sdk/react';
+import { useChat } from '@ai-sdk/react';
 import {
-  APPROVAL,
-  getToolsRequiringConfirmation,
-} from '../api/use-chat-human-in-the-loop/utils';
-import { tools } from '../api/use-chat-human-in-the-loop/tools';
+  DefaultChatTransport,
+  getToolName,
+  isToolUIPart,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+import { tools } from '../api/chat/tools';
+import { APPROVAL, getToolsRequiringConfirmation } from '../api/chat/utils';
+import { useState } from 'react';
+import { HumanInTheLoopUIMessage, MyTools } from '../api/chat/types';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, addToolResult } =
-    useChat({
-      maxSteps: 5,
+  const { messages, addToolResult, sendMessage } =
+    useChat<HumanInTheLoopUIMessage>({
+      transport: new DefaultChatTransport({
+        api: '/api/chat',
+      }),
+      sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
     });
+  const [input, setInput] = useState('');
 
   const toolsRequiringConfirmation = getToolsRequiringConfirmation(tools);
 
   // used to disable input while confirmation is pending
-  const pendingToolCallConfirmation = messages.some((m: Message) =>
+  const pendingToolCallConfirmation = messages.some(m =>
     m.parts?.some(
       part =>
-        part.type === 'tool-invocation' &&
-        part.toolInvocation.state === 'call' &&
-        toolsRequiringConfirmation.includes(part.toolInvocation.toolName),
+        isToolUIPart(part) &&
+        part.state === 'input-available' &&
+        toolsRequiringConfirmation.includes(getToolName(part)),
     ),
   );
 
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages?.map((m: Message) => (
+      {messages?.map(m => (
         <div key={m.id} className="whitespace-pre-wrap">
           <strong>{`${m.role}: `}</strong>
           {m.parts?.map((part, i) => {
-            switch (part.type) {
-              case 'text':
-                return <div key={i}>{part.text}</div>;
-              case 'tool-invocation':
-                const toolInvocation = part.toolInvocation;
-                const toolCallId = toolInvocation.toolCallId;
-                const dynamicInfoStyles = 'font-mono bg-gray-100 p-1 text-sm';
-
-                // render confirmation tool (client-side tool with user interaction)
-                if (
-                  toolsRequiringConfirmation.includes(
-                    toolInvocation.toolName,
-                  ) &&
-                  toolInvocation.state === 'call'
-                ) {
-                  return (
-                    <div key={toolCallId} className="text-gray-500">
-                      Run{' '}
-                      <span className={dynamicInfoStyles}>
-                        {toolInvocation.toolName}
-                      </span>{' '}
-                      with args:{' '}
-                      <span className={dynamicInfoStyles}>
-                        {JSON.stringify(toolInvocation.args)}
-                      </span>
-                      <div className="flex gap-2 pt-2">
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: APPROVAL.YES,
-                            })
-                          }
-                        >
-                          Yes
-                        </button>
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: APPROVAL.NO,
-                            })
-                          }
-                        >
-                          No
-                        </button>
-                      </div>
+            if (part.type === 'text') {
+              return <div key={i}>{part.text}</div>;
+            }
+            if (isToolUIPart<MyTools>(part)) {
+              const toolName = getToolName(part);
+              const toolCallId = part.toolCallId;
+              const dynamicInfoStyles = 'font-mono bg-zinc-100 p-1 text-sm';
+
+              // render confirmation tool (client-side tool with user interaction)
+              if (
+                toolsRequiringConfirmation.includes(toolName) &&
+                part.state === 'input-available'
+              ) {
+                return (
+                  <div key={toolCallId}>
+                    Run <span className={dynamicInfoStyles}>{toolName}</span>{' '}
+                    with args: <br />
+                    <span className={dynamicInfoStyles}>
+                      {JSON.stringify(part.input, null, 2)}
+                    </span>
+                    <div className="flex gap-2 pt-2">
+                      <button
+                        className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
+                        onClick={async () => {
+                          await addToolResult({
+                            toolCallId,
+                            tool: toolName,
+                            output: APPROVAL.YES,
+                          });
+                          sendMessage();
+                        }}
+                      >
+                        Yes
+                      </button>
+                      <button
+                        className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
+                        onClick={async () => {
+                          await addToolResult({
+                            toolCallId,
+                            tool: toolName,
+                            output: APPROVAL.NO,
+                          });
+                          sendMessage();
+                        }}
+                      >
+                        No
+                      </button>
                     </div>
-                  );
-                }
+                  </div>
+                );
+              }
             }
           })}
           <br />
         </div>
       ))}
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
         <input
           disabled={pendingToolCallConfirmation}
-          className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl"
+          className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-zinc-300 rounded shadow-xl"
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
         />
       </form>
     </div>
diff --git a/content/cookbook/01-next/80-send-custom-body-from-use-chat.mdx b/content/cookbook/01-next/80-send-custom-body-from-use-chat.mdx
index 7d4b35fcdb3f..cb8ebd6af8b6 100644
--- a/content/cookbook/01-next/80-send-custom-body-from-use-chat.mdx
+++ b/content/cookbook/01-next/80-send-custom-body-from-use-chat.mdx
@@ -6,11 +6,6 @@ tags: ['next', 'chat']
 
 # Send Custom Body from useChat
 
-<Note type="warning">
-  `experimental_prepareRequestBody` is an experimental feature and only
-  available in React, Svelte and Vue.
-</Note>
-
 By default, `useChat` sends all messages as well as information from the request to the server.
 However, it is often desirable to control the body content that is sent to the server, e.g. to:
 
@@ -18,7 +13,7 @@ However, it is often desirable to control the body content that is sent to the s
 - send additional data along with the message
 - change the structure of the request body
 
-The `experimental_prepareRequestBody` option allows you to customize the body content that is sent to the server.
+The `prepareSendMessagesRequest` option allows you to customize the body content that is sent to the server.
 The function receives the message list, the request data, and the request body from the append call.
 It should return the body content that will be sent to the server.
 
@@ -29,30 +24,48 @@ This can be useful if you want to reduce the amount of data sent to the server.
 
 ### Client
 
-```typescript filename='app/page.tsx' highlight="7-10"
+```typescript filename='app/page.tsx' highlight="3,7-14"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat({
-    experimental_prepareRequestBody: ({ messages }) => {
-      // e.g. only the text of the last message:
-      return messages[messages.length - 1].content;
-    },
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      prepareSendMessagesRequest: ({ id, messages }) => {
+        return {
+          body: {
+            id,
+            message: messages[messages.length - 1],
+          },
+        };
+      },
+    }),
   });
 
   return (
     <div>
-      {messages.map(m => (
-        <div key={m.id}>
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
-        </div>
-      ))}
-
-      <form onSubmit={handleSubmit}>
-        <input value={input} onChange={handleInputChange} />
+    {messages.map((message, index) => (
+      <div key={index}>
+        {message.role === 'user' ? 'User: ' : 'AI: '}
+        {message.parts.map((part) => {
+          switch (part.type) {
+            case "text":
+              return <div key={`${message.id}-text`}>{part.text}</div>;
+          }
+        })}
+      </div>
+    ))}
+
+      <form onSubmit={(e) => {
+        e.preventDefault();
+        sendMessage({text: input});
+        setInput('');
+      }}>
+        <input value={input} onChange={(e) => setInput(e.currentTarget.value)} />
       </form>
     </div>
   );
@@ -61,33 +74,35 @@ export default function Chat() {
 
 ### Server
 
-We need to adjust the server to only receive the text of the last message.
+We need to adjust the server to receive the custom request format with the chat ID and last message.
 The rest of the message history can be loaded from storage.
 
-```tsx filename='app/api/chat/route.ts' highlight="8,9,23"
-import { openai } from '@ai-sdk/openai'
-import { streamText } from 'ai'
+```tsx filename='app/api/chat/route.ts' highlight="8,11,12,16"
+import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamText } from 'ai';
 
 // Allow streaming responses up to 30 seconds
-export const maxDuration = 30
+export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  // we receive only the text from the last message
-  const text = await req.json()
+  const { id, message } = await req.json();
 
-  // e.g. load message history from storage
-  const history = await loadHistory()
+  // Load existing messages and add the new one
+  const messages = await loadMessages(id);
+  messages.push(message);
 
   // Call the language model
   const result = streamText({
     model: openai('gpt-4.1'),
-    messages: [...history, { role: 'user', content: text }]
-    onFinish({ text }) {
-      // e.g. save the message and the response to storage
-    }
-  })
+    messages: convertToModelMessages(messages),
+  });
 
   // Respond with the stream
-  return result.toUIMessageStreamResponse()
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages,
+    onFinish: ({ messages: newMessages }) => {
+      saveMessages(id, newMessages);
+    },
+  });
 }
 ```
diff --git a/content/cookbook/01-next/90-render-visual-interface-in-chat.mdx b/content/cookbook/01-next/90-render-visual-interface-in-chat.mdx
index 9b5076cce606..1c67176b277c 100644
--- a/content/cookbook/01-next/90-render-visual-interface-in-chat.mdx
+++ b/content/cookbook/01-next/90-render-visual-interface-in-chat.mdx
@@ -44,137 +44,157 @@ Let's build an assistant that gets the weather for any city by calling the `getW
 ```tsx filename='app/page.tsx'
 'use client';
 
-import { ToolInvocation } from 'ai';
-import { Message, useChat } from '@ai-sdk/react';
+import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+import { useState } from 'react';
+import { ChatMessage } from './api/chat/route';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, addToolResult } =
-    useChat({
-      api: '/api/use-chat',
-      maxSteps: 5,
-
-      // run client-side tools that are automatically executed:
-      async onToolCall({ toolCall }) {
-        if (toolCall.toolName === 'getLocation') {
-          const cities = [
-            'New York',
-            'Los Angeles',
-            'Chicago',
-            'San Francisco',
-          ];
-          return cities[Math.floor(Math.random() * cities.length)];
-        }
-      },
-    });
+  const [input, setInput] = useState('');
+  const { messages, sendMessage, addToolResult } = useChat<ChatMessage>({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+
+    sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+    // run client-side tools that are automatically executed:
+    async onToolCall({ toolCall }) {
+      if (toolCall.toolName === 'getLocation') {
+        const cities = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'];
+
+        // No await - avoids potential deadlocks
+        addToolResult({
+          tool: 'getLocation',
+          toolCallId: toolCall.toolCallId,
+          output: cities[Math.floor(Math.random() * cities.length)],
+        });
+      }
+    },
+  });
 
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch gap-4">
-      {messages?.map((m: Message) => (
+      {messages?.map(m => (
         <div key={m.id} className="whitespace-pre-wrap flex flex-col gap-1">
           <strong>{`${m.role}: `}</strong>
-          {m.content}
-          {m.toolInvocations?.map((toolInvocation: ToolInvocation) => {
-            const toolCallId = toolInvocation.toolCallId;
-
-            // render confirmation tool (client-side tool with user interaction)
-            if (toolInvocation.toolName === 'askForConfirmation') {
-              return (
-                <div
-                  key={toolCallId}
-                  className="text-gray-500 flex flex-col gap-2"
-                >
-                  {toolInvocation.args.message}
-                  <div className="flex gap-2">
-                    {'result' in toolInvocation ? (
-                      <b>{toolInvocation.result}</b>
-                    ) : (
-                      <>
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: 'Yes, confirmed.',
-                            })
-                          }
-                        >
-                          Yes
-                        </button>
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: 'No, denied',
-                            })
-                          }
-                        >
-                          No
-                        </button>
-                      </>
-                    )}
+          {m.parts?.map((part, i) => {
+            switch (part.type) {
+              case 'text':
+                return <div key={m.id + i}>{part.text}</div>;
+              // render confirmation tool (client-side tool with user interaction)
+              case 'tool-askForConfirmation':
+                return (
+                  <div
+                    key={part.toolCallId}
+                    className="text-gray-500 flex flex-col gap-2"
+                  >
+                    <div className="flex gap-2">
+                      {part.state === 'output-available' ? (
+                        <b>{part.output}</b>
+                      ) : (
+                        <>
+                          <button
+                            className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
+                            onClick={() =>
+                              addToolResult({
+                                tool: 'askForConfirmation',
+                                toolCallId: part.toolCallId,
+                                output: 'Yes, confirmed.',
+                              })
+                            }
+                          >
+                            Yes
+                          </button>
+                          <button
+                            className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
+                            onClick={() =>
+                              addToolResult({
+                                tool: 'askForConfirmation',
+                                toolCallId: part.toolCallId,
+                                output: 'No, denied',
+                              })
+                            }
+                          >
+                            No
+                          </button>
+                        </>
+                      )}
+                    </div>
                   </div>
-                </div>
-              );
-            }
+                );
 
-            // other tools:
-            return 'result' in toolInvocation ? (
-              toolInvocation.toolName === 'getWeatherInformation' ? (
-                <div
-                  key={toolCallId}
-                  className="flex flex-col gap-2 p-4 bg-blue-400 rounded-lg"
-                >
-                  <div className="flex flex-row justify-between items-center">
-                    <div className="text-4xl text-blue-50 font-medium">
-                      {toolInvocation.result.value}°
-                      {toolInvocation.result.unit === 'celsius' ? 'C' : 'F'}
+              // other tools:
+              case 'tool-getWeatherInformation':
+                if (part.state === 'output-available') {
+                  return (
+                    <div
+                      key={part.toolCallId}
+                      className="flex flex-col gap-2 p-4 bg-blue-400 rounded-lg"
+                    >
+                      <div className="flex flex-row justify-between items-center">
+                        <div className="text-4xl text-blue-50 font-medium">
+                          {part.output.value}°
+                          {part.output.unit === 'celsius' ? 'C' : 'F'}
+                        </div>
+
+                        <div className="h-9 w-9 bg-amber-400 rounded-full flex-shrink-0" />
+                      </div>
+                      <div className="flex flex-row gap-2 text-blue-50 justify-between">
+                        {part.output.weeklyForecast.map(forecast => (
+                          <div
+                            key={forecast.day}
+                            className="flex flex-col items-center"
+                          >
+                            <div className="text-xs">{forecast.day}</div>
+                            <div>{forecast.value}°</div>
+                          </div>
+                        ))}
+                      </div>
+                    </div>
+                  );
+                }
+                break;
+              case 'tool-getLocation':
+                if (part.state === 'output-available') {
+                  return (
+                    <div
+                      key={part.toolCallId}
+                      className="text-gray-500 bg-gray-100 rounded-lg p-4"
+                    >
+                      User is in {part.output}.
                     </div>
+                  );
+                } else {
+                  return (
+                    <div key={part.toolCallId} className="text-gray-500">
+                      Calling getLocation...
+                    </div>
+                  );
+                }
 
-                    <div className="h-9 w-9 bg-amber-400 rounded-full flex-shrink-0" />
-                  </div>
-                  <div className="flex flex-row gap-2 text-blue-50 justify-between">
-                    {toolInvocation.result.weeklyForecast.map(
-                      (forecast: any) => (
-                        <div
-                          key={forecast.day}
-                          className="flex flex-col items-center"
-                        >
-                          <div className="text-xs">{forecast.day}</div>
-                          <div>{forecast.value}°</div>
-                        </div>
-                      ),
-                    )}
-                  </div>
-                </div>
-              ) : toolInvocation.toolName === 'getLocation' ? (
-                <div
-                  key={toolCallId}
-                  className="text-gray-500 bg-gray-100 rounded-lg p-4"
-                >
-                  User is in {toolInvocation.result}.
-                </div>
-              ) : (
-                <div key={toolCallId} className="text-gray-500">
-                  Tool call {`${toolInvocation.toolName}: `}
-                  {toolInvocation.result}
-                </div>
-              )
-            ) : (
-              <div key={toolCallId} className="text-gray-500">
-                Calling {toolInvocation.toolName}...
-              </div>
-            );
+              default:
+                break;
+            }
           })}
         </div>
       ))}
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
         <input
           className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl"
           value={input}
           placeholder="Say something..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.currentTarget.value)}
         />
       </form>
     </div>
@@ -186,50 +206,65 @@ export default function Chat() {
 
 ```tsx filename='api/chat.ts'
 import { openai } from '@ai-sdk/openai';
-import { streamText } from 'ai';
+import {
+  type InferUITools,
+  type ToolSet,
+  type UIDataTypes,
+  type UIMessage,
+  convertToModelMessages,
+  stepCountIs,
+  streamText,
+  tool,
+} from 'ai';
 import { z } from 'zod';
 
-export default async function POST(request: Request) {
-  const { messages } = await request.json();
+const tools: ToolSet = {
+  getWeatherInformation: tool({
+    description: 'show the weather in a given city to the user',
+    inputSchema: z.object({ city: z.string() }),
+    execute: async ({}: { city: string }) => {
+      return {
+        value: 24,
+        unit: 'celsius',
+        weeklyForecast: [
+          { day: 'Monday', value: 24 },
+          { day: 'Tuesday', value: 25 },
+          { day: 'Wednesday', value: 26 },
+          { day: 'Thursday', value: 27 },
+          { day: 'Friday', value: 28 },
+          { day: 'Saturday', value: 29 },
+          { day: 'Sunday', value: 30 },
+        ],
+      };
+    },
+  }),
+  // client-side tool that starts user interaction:
+  askForConfirmation: tool({
+    description: 'Ask the user for confirmation.',
+    inputSchema: z.object({
+      message: z.string().describe('The message to ask for confirmation.'),
+    }),
+  }),
+  // client-side tool that is automatically executed on the client:
+  getLocation: tool({
+    description:
+      'Get the user location. Always ask for confirmation before using this tool.',
+    inputSchema: z.object({}),
+  }),
+};
+
+export type ChatTools = InferUITools<typeof tools>;
+
+export type ChatMessage = UIMessage<never, UIDataTypes, ChatTools>;
+
+export async function POST(request: Request) {
+  const { messages }: { messages: ChatMessage[] } = await request.json();
 
   const result = streamText({
     model: openai('gpt-4.1'),
-    messages,
-    tools: {
-      // server-side tool with execute function:
-      getWeatherInformation: {
-        description: 'show the weather in a given city to the user',
-        parameters: z.object({ city: z.string() }),
-        execute: async ({}: { city: string }) => {
-          return {
-            value: 24,
-            unit: 'celsius',
-            weeklyForecast: [
-              { day: 'Monday', value: 24 },
-              { day: 'Tuesday', value: 25 },
-              { day: 'Wednesday', value: 26 },
-              { day: 'Thursday', value: 27 },
-              { day: 'Friday', value: 28 },
-              { day: 'Saturday', value: 29 },
-              { day: 'Sunday', value: 30 },
-            ],
-          };
-        },
-      },
-      // client-side tool that starts user interaction:
-      askForConfirmation: {
-        description: 'Ask the user for confirmation.',
-        parameters: z.object({
-          message: z.string().describe('The message to ask for confirmation.'),
-        }),
-      },
-      // client-side tool that is automatically executed on the client:
-      getLocation: {
-        description:
-          'Get the user location. Always ask for confirmation before using this tool.',
-        parameters: z.object({}),
-      },
-    },
+    messages: convertToModelMessages(messages),
+    tools,
+    stopWhen: stepCountIs(5),
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/cookbook/05-node/10-generate-text.mdx b/content/cookbook/05-node/10-generate-text.mdx
index ff7d5b8085d1..6e04928cc496 100644
--- a/content/cookbook/05-node/10-generate-text.mdx
+++ b/content/cookbook/05-node/10-generate-text.mdx
@@ -15,7 +15,7 @@ import { generateText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 const result = await generateText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   prompt: 'Why is the sky blue?',
 });
 
diff --git a/content/cookbook/05-node/100-retrieval-augmented-generation.mdx b/content/cookbook/05-node/100-retrieval-augmented-generation.mdx
index cfdc7df373d3..56e6ea161ea6 100644
--- a/content/cookbook/05-node/100-retrieval-augmented-generation.mdx
+++ b/content/cookbook/05-node/100-retrieval-augmented-generation.mdx
@@ -30,7 +30,7 @@ async function main() {
     .filter(chunk => chunk.length > 0 && chunk !== '\n');
 
   const { embeddings } = await embedMany({
-    model: openai.embedding('text-embedding-3-small'),
+    model: openai.textEmbeddingModel('text-embedding-3-small'),
     values: chunks,
   });
   embeddings.forEach((e, i) => {
@@ -44,7 +44,7 @@ async function main() {
     'What were the two main things the author worked on before college?';
 
   const { embedding } = await embed({
-    model: openai.embedding('text-embedding-3-small'),
+    model: openai.textEmbeddingModel('text-embedding-3-small'),
     value: input,
   });
   const context = db
diff --git a/content/cookbook/05-node/11-generate-text-with-chat-prompt.mdx b/content/cookbook/05-node/11-generate-text-with-chat-prompt.mdx
index 98a9959d5d11..cbaf1fa5104c 100644
--- a/content/cookbook/05-node/11-generate-text-with-chat-prompt.mdx
+++ b/content/cookbook/05-node/11-generate-text-with-chat-prompt.mdx
@@ -15,21 +15,21 @@ import { generateText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 const result = await generateText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   maxOutputTokens: 1024,
   system: 'You are a helpful chatbot.',
   messages: [
     {
       role: 'user',
-      content: 'Hello!',
+      content: [{ type: 'text', text: 'Hello!' }],
     },
     {
       role: 'assistant',
-      content: 'Hello! How can I help you today?',
+      content: [{ type: 'text', text: 'Hello! How can I help you today?' }],
     },
     {
       role: 'user',
-      content: 'I need help with my computer.',
+      content: [{ type: 'text', text: 'I need help with my computer.' }],
     },
   ],
 });
diff --git a/content/cookbook/05-node/12-generate-text-with-image-prompt.mdx b/content/cookbook/05-node/12-generate-text-with-image-prompt.mdx
index b21d1b9048c3..2c78f9b4e65a 100644
--- a/content/cookbook/05-node/12-generate-text-with-image-prompt.mdx
+++ b/content/cookbook/05-node/12-generate-text-with-image-prompt.mdx
@@ -59,7 +59,9 @@ const result = await generateText({
         },
         {
           type: 'image',
-          image: fs.readFileSync('./node/attachments/eclipse.jpg'),
+          image: fs.readFileSync('./node/attachments/eclipse.jpg', {
+            encoding: 'base64',
+          }),
         },
       ],
     },
diff --git a/content/cookbook/05-node/20-stream-text.mdx b/content/cookbook/05-node/20-stream-text.mdx
index db073746af74..a888c92d8f33 100644
--- a/content/cookbook/05-node/20-stream-text.mdx
+++ b/content/cookbook/05-node/20-stream-text.mdx
@@ -30,10 +30,8 @@ import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 const result = streamText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   maxOutputTokens: 512,
-  temperature: 0.3,
-  maxRetries: 5,
   prompt: 'Invent a new holiday and describe its traditions.',
 });
 
@@ -49,10 +47,8 @@ import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 const result = streamText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   maxOutputTokens: 512,
-  temperature: 0.3,
-  maxRetries: 5,
   prompt: 'Invent a new holiday and describe its traditions.',
 });
 
@@ -63,6 +59,6 @@ while (true) {
   if (done) {
     break;
   }
-  console.log(value);
+  process.stdout.write(value);
 }
 ```
diff --git a/content/cookbook/05-node/21-stream-text-with-chat-prompt.mdx b/content/cookbook/05-node/21-stream-text-with-chat-prompt.mdx
index e99e45d445b0..ccc77e902d37 100644
--- a/content/cookbook/05-node/21-stream-text-with-chat-prompt.mdx
+++ b/content/cookbook/05-node/21-stream-text-with-chat-prompt.mdx
@@ -16,26 +16,26 @@ import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 const result = streamText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   maxOutputTokens: 1024,
   system: 'You are a helpful chatbot.',
   messages: [
     {
       role: 'user',
-      content: 'Hello!',
+      content: [{ type: 'text', text: 'Hello!' }],
     },
     {
       role: 'assistant',
-      content: 'Hello! How can I help you today?',
+      content: [{ type: 'text', text: 'Hello! How can I help you today?' }],
     },
     {
       role: 'user',
-      content: 'I need help with my computer.',
+      content: [{ type: 'text', text: 'I need help with my computer.' }],
     },
   ],
 });
 
 for await (const textPart of result.textStream) {
-  console.log(textPart);
+  process.stdout.write(textPart);
 }
 ```
diff --git a/content/cookbook/05-node/41-stream-object-with-image-prompt.mdx b/content/cookbook/05-node/41-stream-object-with-image-prompt.mdx
index a7524638b7e4..eb535b421952 100644
--- a/content/cookbook/05-node/41-stream-object-with-image-prompt.mdx
+++ b/content/cookbook/05-node/41-stream-object-with-image-prompt.mdx
@@ -65,6 +65,7 @@ import { streamObject } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import dotenv from 'dotenv';
 import { z } from 'zod';
+import fs from 'fs';
 
 dotenv.config();
 
@@ -90,7 +91,9 @@ async function main() {
           },
           {
             type: 'image',
-            image: fs.readFileSync('./node/attachments/eclipse.jpg'),
+            image: fs.readFileSync('./data/passport.png', {
+              encoding: 'base64',
+            }),
           },
         ],
       },
diff --git a/content/cookbook/05-node/45-stream-object-record-token-usage.mdx b/content/cookbook/05-node/45-stream-object-record-token-usage.mdx
index cdb20160070d..47e6d1705a0a 100644
--- a/content/cookbook/05-node/45-stream-object-record-token-usage.mdx
+++ b/content/cookbook/05-node/45-stream-object-record-token-usage.mdx
@@ -58,12 +58,12 @@ const result = streamObject({
 
 // your custom function to record token usage:
 function recordTokenUsage({
-  promptTokens,
-  completionTokens,
+  inputTokens,
+  outputTokens,
   totalTokens,
 }: TokenUsage) {
-  console.log('Prompt tokens:', promptTokens);
-  console.log('Completion tokens:', completionTokens);
+  console.log('Prompt tokens:', inputTokens);
+  console.log('Completion tokens:', outputTokens);
   console.log('Total tokens:', totalTokens);
 }
 
diff --git a/content/cookbook/05-node/50-call-tools.mdx b/content/cookbook/05-node/50-call-tools.mdx
index 49a1148f5e28..33f0c934290c 100644
--- a/content/cookbook/05-node/50-call-tools.mdx
+++ b/content/cookbook/05-node/50-call-tools.mdx
@@ -19,7 +19,7 @@ const result = await generateText({
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -28,7 +28,7 @@ const result = await generateText({
       }),
     }),
     cityAttractions: tool({
-      parameters: z.object({ city: z.string() }),
+      inputSchema: z.object({ city: z.string() }),
     }),
   },
   prompt:
@@ -50,12 +50,12 @@ dotenv.config();
 
 async function main() {
   const result = await generateText({
-    model: openai('gpt-3.5-turbo'),
+    model: openai('gpt-4o'),
     maxOutputTokens: 512,
     tools: {
       weather: tool({
         description: 'Get the weather in a location',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => ({
@@ -64,7 +64,7 @@ async function main() {
         }),
       }),
       cityAttractions: tool({
-        parameters: z.object({ city: z.string() }),
+        inputSchema: z.object({ city: z.string() }),
       }),
     },
     prompt:
@@ -75,12 +75,12 @@ async function main() {
   for (const toolCall of result.toolCalls) {
     switch (toolCall.toolName) {
       case 'cityAttractions': {
-        toolCall.args.city; // string
+        toolCall.input.city; // string
         break;
       }
 
       case 'weather': {
-        toolCall.args.location; // string
+        toolCall.input.location; // string
         break;
       }
     }
@@ -106,12 +106,12 @@ dotenv.config();
 
 async function main() {
   const result = await generateText({
-    model: openai('gpt-3.5-turbo'),
+    model: openai('gpt-4o'),
     maxOutputTokens: 512,
     tools: {
       weather: tool({
         description: 'Get the weather in a location',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => ({
@@ -120,7 +120,7 @@ async function main() {
         }),
       }),
       cityAttractions: tool({
-        parameters: z.object({ city: z.string() }),
+        inputSchema: z.object({ city: z.string() }),
       }),
     },
     prompt:
@@ -131,9 +131,9 @@ async function main() {
   for (const toolResult of result.toolResults) {
     switch (toolResult.toolName) {
       case 'weather': {
-        toolResult.args.location; // string
-        toolResult.result.location; // string
-        toolResult.result.temperature; // number
+        toolResult.input.location; // string
+        toolResult.output.location; // string
+        toolResult.output.temperature; // number
         break;
       }
     }
@@ -154,5 +154,5 @@ main().catch(console.error);
 When using tools, it's important to note that the model won't respond with the tool call results by default.
 This is because the model has technically already generated its response to the prompt: the tool call.
 Many use cases will require the model to summarise the results of the tool call within the context of the original prompt automatically.
-You can achieve this by [using `maxSteps`](/examples/node/tools/call-tools-with-automatic-roundtrips)
+You can achieve this by [using `stopWhen`](/examples/node/tools/call-tools-multiple-steps)
 which will automatically send toolResults to the model to trigger another generation.
diff --git a/content/cookbook/05-node/51-call-tools-in-parallel.mdx b/content/cookbook/05-node/51-call-tools-in-parallel.mdx
deleted file mode 100644
index 2c22b58003b7..000000000000
--- a/content/cookbook/05-node/51-call-tools-in-parallel.mdx
+++ /dev/null
@@ -1,52 +0,0 @@
----
-title: Call Tools in Parallel
-description: Learn how to call tools in parallel using the AI SDK and Node
-tags: ['node', 'tool use']
----
-
-# Call Tools in Parallel
-
-Some language models support calling tools in parallel.
-This is particularly useful when multiple tools are independent of each other and can be executed in parallel during the same generation step.
-
-```ts
-import { generateText, tool } from 'ai';
-import { openai } from '@ai-sdk/openai';
-import { z } from 'zod';
-
-const result = await generateText({
-  model: openai('gpt-4.1'),
-  tools: {
-    weather: tool({
-      description: 'Get the weather in a location',
-      parameters: z.object({
-        location: z.string().describe('The location to get the weather for'),
-      }),
-      execute: async ({ location }: { location: string }) => ({
-        location,
-        temperature: 72 + Math.floor(Math.random() * 21) - 10,
-      }),
-    }),
-    cityAttractions: tool({
-      parameters: z.object({ city: z.string() }),
-      execute: async ({ city }: { city: string }) => {
-        if (city === 'San Francisco') {
-          return {
-            attractions: [
-              'Golden Gate Bridge',
-              'Alcatraz Island',
-              "Fisherman's Wharf",
-            ],
-          };
-        } else {
-          return { attractions: [] };
-        }
-      },
-    }),
-  },
-  prompt:
-    'What is the weather in San Francisco and what attractions should I visit?',
-});
-
-console.log(result);
-```
diff --git a/content/cookbook/05-node/52-call-tools-with-image-prompt.mdx b/content/cookbook/05-node/52-call-tools-with-image-prompt.mdx
index f65ff345baad..e0f5c326db93 100644
--- a/content/cookbook/05-node/52-call-tools-with-image-prompt.mdx
+++ b/content/cookbook/05-node/52-call-tools-with-image-prompt.mdx
@@ -32,12 +32,12 @@ const result = await generateText({
   tools: {
     logFood: tool({
       description: 'Log a food item',
-      parameters: z.object({
+      inputSchema: z.object({
         name: z.string(),
         calories: z.number(),
       }),
       execute({ name, calories }) {
-        storeInDatabase({ name, calories });
+        storeInDatabase({ name, calories }); // your implementation here
       },
     }),
   },
diff --git a/content/cookbook/05-node/53-call-tools-multiple-steps.mdx b/content/cookbook/05-node/53-call-tools-multiple-steps.mdx
index c4234b4fadaa..50ba24accff4 100644
--- a/content/cookbook/05-node/53-call-tools-multiple-steps.mdx
+++ b/content/cookbook/05-node/53-call-tools-multiple-steps.mdx
@@ -9,22 +9,21 @@ tags: ['node', 'tool use', 'agent']
 Models call tools to gather information or perform actions that are not directly available to the model.
 When tool results are available, the model can use them to generate another response.
 
-You can enable multi-step tool calls in `generateText` by setting the `maxSteps` option to
-a number greater than 1.
-This option specifies the maximum number of steps (i.e., LLM calls) that can be made to prevent infinite loops.
+You can enable multi-step tool calls in `generateText` by defining stopping conditions with `stopWhen`.
+This allows you to define the conditions for which your agent should stop when the model generates a tool call.
 
 ```ts highlight={"7"}
-import { generateText, tool } from 'ai';
+import { generateText, tool, stepCountIs } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 
-const { text } = await generateText({
+const { text, steps } = await generateText({
   model: openai('gpt-4.1'),
-  maxSteps: 5,
+  stopWhen: stepCountIs(5),
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }: { location: string }) => ({
diff --git a/content/cookbook/05-node/54-mcp-tools.mdx b/content/cookbook/05-node/54-mcp-tools.mdx
index 889963704558..8b8bb0018aec 100644
--- a/content/cookbook/05-node/54-mcp-tools.mdx
+++ b/content/cookbook/05-node/54-mcp-tools.mdx
@@ -8,10 +8,17 @@ tags: ['node', 'tool use', 'agent', 'mcp']
 
 The AI SDK supports Model Context Protocol (MCP) tools by offering a lightweight client that exposes a `tools` method for retrieving tools from a MCP server. After use, the client should always be closed to release resources.
 
+Use the official Model Context Protocol Typescript SDK to create the connection to the MCP server.
+
+<Snippet text="pnpm install @modelcontextprotocol/sdk" />
+
 ```ts
-import { experimental_createMCPClient, generateText } from 'ai';
+import { experimental_createMCPClient, generateText, stepCountIs } from 'ai';
 import { Experimental_StdioMCPTransport } from 'ai/mcp-stdio';
 import { openai } from '@ai-sdk/openai';
+import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio';
+import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse';
+import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp';
 
 let clientOne;
 let clientTwo;
@@ -19,28 +26,29 @@ let clientThree;
 
 try {
   // Initialize an MCP client to connect to a `stdio` MCP server:
-  const transport = new Experimental_StdioMCPTransport({
+  const transport = new StdioClientTransport({
     command: 'node',
     args: ['src/stdio/dist/server.js'],
   });
-  clientOne = await experimental_createMCPClient({
+
+  const clientOne = await experimental_createMCPClient({
     transport,
   });
 
-  // Alternatively, you can connect to a Server-Sent Events (SSE) MCP server:
-  clientTwo = await experimental_createMCPClient({
-    transport: {
-      type: 'sse',
-      url: 'http://localhost:3000/sse',
-    },
+  // You can also connect to StreamableHTTP MCP servers
+  const httpTransport = new StreamableHTTPClientTransport(
+    new URL('http://localhost:3000/mcp'),
+  );
+  const clientTwo = await experimental_createMCPClient({
+    transport: httpTransport,
   });
 
-  // Similarly to the stdio example, you can pass in your own custom transport as long as it implements the `MCPTransport` interface:
-  const transport = new MyCustomTransport({
-    // ...
-  });
-  clientThree = await experimental_createMCPClient({
-    transport,
+  // Alternatively, you can connect to a Server-Sent Events (SSE) MCP server:
+  const sseTransport = new SSEClientTransport(
+    new URL('http://localhost:3000/sse'),
+  );
+  const clientThree = await experimental_createMCPClient({
+    transport: sseTransport,
   });
 
   const toolSetOne = await clientOne.tools();
@@ -55,10 +63,11 @@ try {
   const response = await generateText({
     model: openai('gpt-4o'),
     tools,
+    stopWhen: stepCountIs(5),
     messages: [
       {
         role: 'user',
-        content: 'Find products under $100',
+        content: [{ type: 'text', text: 'Find products under $100' }],
       },
     ],
   });
@@ -67,6 +76,10 @@ try {
 } catch (error) {
   console.error(error);
 } finally {
-  await Promise.all([clientOne.close(), clientTwo.close()]);
+  await Promise.all([
+    clientOne.close(),
+    clientTwo.close(),
+    clientThree.close(),
+  ]);
 }
 ```
diff --git a/content/cookbook/05-node/55-manual-agent-loop.mdx b/content/cookbook/05-node/55-manual-agent-loop.mdx
new file mode 100644
index 000000000000..67224d64ade4
--- /dev/null
+++ b/content/cookbook/05-node/55-manual-agent-loop.mdx
@@ -0,0 +1,199 @@
+---
+title: Manual Agent Loop
+description: Learn how to create your own agentic loop with full control over tool execution
+tags: ['node', 'agent']
+---
+
+# Manual Agent Loop
+
+When you need complete control over the agentic loop and tool execution, you can manage the agent flow yourself rather than using `prepareStep` and `stopWhen`. This approach gives you full flexibility over when and how tools are executed, message history management, and loop termination conditions.
+
+This pattern is useful when you want to:
+
+- Implement custom logic between tool calls
+- Handle tool execution errors in specific ways
+- Add custom logging or monitoring
+- Integrate with external systems during the loop
+- Have complete control over the conversation history
+
+## Example
+
+```ts
+import { openai } from '@ai-sdk/openai';
+import { ModelMessage, streamText, tool } from 'ai';
+import 'dotenv/config';
+import z from 'zod';
+
+const getWeather = async ({ location }: { location: string }) => {
+  return `The weather in ${location} is ${Math.floor(Math.random() * 100)} degrees.`;
+};
+
+const messages: ModelMessage[] = [
+  {
+    role: 'user',
+    content: 'Get the weather in New York and San Francisco',
+  },
+];
+
+async function main() {
+  while (true) {
+    const result = streamText({
+      model: openai('gpt-4o'),
+      messages,
+      tools: {
+        getWeather: tool({
+          description: 'Get the current weather in a given location',
+          inputSchema: z.object({
+            location: z.string(),
+          }),
+        }),
+        // add more tools here, omitting the execute function so you handle it yourself
+      },
+    });
+
+    // Stream the response (only necessary for providing updates to the user)
+    for await (const chunk of result.fullStream) {
+      if (chunk.type === 'text-delta') {
+        process.stdout.write(chunk.text);
+      }
+
+      if (chunk.type === 'tool-call') {
+        console.log('\\nCalling tool:', chunk.toolName);
+      }
+    }
+
+    // Add LLM generated messages to the message history
+    const responseMessages = (await result.response).messages;
+    messages.push(...responseMessages);
+
+    const finishReason = await result.finishReason;
+
+    if (finishReason === 'tool-calls') {
+      const toolCalls = await result.toolCalls;
+
+      // Handle all tool call execution here
+      for (const toolCall of toolCalls) {
+        if (toolCall.toolName === 'getWeather') {
+          const toolOutput = await getWeather(toolCall.input);
+          messages.push({
+            role: 'tool',
+            content: [
+              {
+                toolName: toolCall.toolName,
+                toolCallId: toolCall.toolCallId,
+                type: 'tool-result',
+                output: { type: 'text', value: toolOutput }, // update depending on the tool's output format
+              },
+            ],
+          });
+        }
+        // Handle other tool calls
+      }
+    } else {
+      // Exit the loop when the model doesn't request to use any more tools
+      console.log('\\n\\nFinal message history:');
+      console.dir(messages, { depth: null });
+      break;
+    }
+  }
+}
+
+main().catch(console.error);
+```
+
+## Key Concepts
+
+### Message Management
+
+The example maintains a `messages` array that tracks the entire conversation history. After each model response, the generated messages are added to this history:
+
+```ts
+const responseMessages = (await result.response).messages;
+messages.push(...responseMessages);
+```
+
+### Tool Execution Control
+
+Tool execution is handled manually in the loop. When the model requests tool calls, you process each one individually:
+
+```ts
+if (finishReason === 'tool-calls') {
+  const toolCalls = await result.toolCalls;
+
+  for (const toolCall of toolCalls) {
+    if (toolCall.toolName === 'getWeather') {
+      const toolOutput = await getWeather(toolCall.input);
+      // Add tool result to message history
+      messages.push({
+        role: 'tool',
+        content: [
+          {
+            toolName: toolCall.toolName,
+            toolCallId: toolCall.toolCallId,
+            type: 'tool-result',
+            output: { type: 'text', value: toolOutput },
+          },
+        ],
+      });
+    }
+  }
+}
+```
+
+### Loop Termination
+
+The loop continues until the model stops requesting tool calls. You can customize this logic to implement your own termination conditions:
+
+```ts
+if (finishReason === 'tool-calls') {
+  // Continue the loop
+} else {
+  // Exit the loop
+  break;
+}
+```
+
+## Extending This Example
+
+### Custom Loop Control
+
+Implement maximum iterations or time limits:
+
+```ts
+let iterations = 0;
+const MAX_ITERATIONS = 10;
+
+while (iterations < MAX_ITERATIONS) {
+  iterations++;
+  // ... rest of the loop
+}
+```
+
+### Parallel Tool Execution
+
+Execute multiple tools in parallel for better performance:
+
+```ts
+const toolPromises = toolCalls.map(async toolCall => {
+  if (toolCall.toolName === 'getWeather') {
+    const toolOutput = await getWeather(toolCall.input);
+    return {
+      role: 'tool' as const,
+      content: [
+        {
+          toolName: toolCall.toolName,
+          toolCallId: toolCall.toolCallId,
+          type: 'tool-result' as const,
+          output: { type: 'text' as const, value: toolOutput },
+        },
+      ],
+    };
+  }
+  // Handle other tools
+});
+
+const toolResults = await Promise.all(toolPromises);
+messages.push(...toolResults.filter(Boolean));
+```
+
+This manual approach gives you complete control over the agentic loop while still leveraging the AI SDK's powerful streaming and tool calling capabilities.
diff --git a/content/cookbook/05-node/56-web-search-agent.mdx b/content/cookbook/05-node/56-web-search-agent.mdx
index 4c9e2cd2a8a2..899b3f85b1dc 100644
--- a/content/cookbook/05-node/56-web-search-agent.mdx
+++ b/content/cookbook/05-node/56-web-search-agent.mdx
@@ -31,7 +31,7 @@ const { text, sources } = await generateText({
   model: openai.responses('gpt-4o-mini'),
   prompt: 'What happened in San Francisco last week?',
   tools: {
-    web_search_preview: openai.tools.webSearchPreview(),
+    web_search_preview: openai.tools.webSearchPreview({}),
   },
 });
 
@@ -65,9 +65,10 @@ import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
 const { text, sources, providerMetadata } = await generateText({
-  model: google('gemini-1.5-pro', {
-    useSearchGrounding: true,
-  }),
+  model: google('gemini-2.5-flash'),
+  tools: {
+    google_search: google.tools.googleSearch({}),
+  },
   prompt:
     'List the top 5 San Francisco news from the past week.' +
     'You must include the date of each article.',
@@ -86,10 +87,10 @@ const safetyRatings = metadata?.safetyRatings;
 
 Let's look at how you can build tools that search the web and return results. These tools can be used with any model that supports tool calling, giving you maximum flexibility and control over your search experience. We'll examine several search API options that can be integrated as tools in your agent.
 
-Unlike the native web search examples where searching is built into the model, using web search tools requires multiple steps. The language model will make two generations - the first to call the relevant web search tool (extracting search queries from the context), and the second to process the results and generate a response. This multi-step process is handled automatically when you set `maxSteps` to a value greater than 1.
+Unlike the native web search examples where searching is built into the model, using web search tools requires multiple steps. The language model will make two generations - the first to call the relevant web search tool (extracting search queries from the context), and the second to process the results and generate a response. This multi-step process is handled automatically when you set `stopWhen: stepCountIs()` to a value greater than 1.
 
 <Note>
-  By using `maxSteps`, you can automatically send tool results back to the
+  By using `stopWhen`, you can automatically send tool results back to the
   language model alongside the original question, enabling the model to respond
   with information relevant to the user's query based on the search results.
   This creates a seamless experience where the agent can search the web and
@@ -101,7 +102,7 @@ Unlike the native web search examples where searching is built into the model, u
 [Exa](https://exa.ai/) is a search API designed for AI. Let's look at how you could implement a search tool using Exa:
 
 ```ts
-import { generateText, tool } from 'ai';
+import { generateText, tool, stepCountIs } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 import Exa from 'exa-js';
@@ -110,7 +111,7 @@ export const exa = new Exa(process.env.EXA_API_KEY);
 
 export const webSearch = tool({
   description: 'Search the web for up-to-date information',
-  parameters: z.object({
+  inputSchema: z.object({
     query: z.string().min(1).max(100).describe('The search query'),
   }),
   execute: async ({ query }) => {
@@ -133,7 +134,7 @@ const { text } = await generateText({
   tools: {
     webSearch,
   },
-  maxSteps: 2,
+  stopWhen: stepCountIs(5),
 });
 ```
 
@@ -142,7 +143,7 @@ const { text } = await generateText({
 [Firecrawl](https://firecrawl.dev) provides an API for web scraping and crawling. Let's look at how you could implement a scraping tool using Firecrawl:
 
 ```ts
-import { generateText, tool } from 'ai';
+import { generateText, tool, stepCountIs } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 import FirecrawlApp from '@mendable/firecrawl-js';
@@ -152,7 +153,7 @@ const app = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
 
 export const webSearch = tool({
   description: 'Search the web for up-to-date information',
-  parameters: z.object({
+  inputSchema: z.object({
     urlToCrawl: z
       .string()
       .url()
@@ -181,7 +182,7 @@ const main = async () => {
     tools: {
       webSearch,
     },
-    maxSteps: 2,
+    stopWhen: stepCountIs(5),
   });
   console.log(text);
 };
diff --git a/content/cookbook/05-node/60-embed-text.mdx b/content/cookbook/05-node/60-embed-text.mdx
index 85514f3b85b1..cc0295e21126 100644
--- a/content/cookbook/05-node/60-embed-text.mdx
+++ b/content/cookbook/05-node/60-embed-text.mdx
@@ -17,7 +17,7 @@ import 'dotenv/config';
 
 async function main() {
   const { embedding, usage } = await embed({
-    model: openai.embedding('text-embedding-3-small'),
+    model: openai.textEmbeddingModel('text-embedding-3-small'),
     value: 'sunny day at the beach',
   });
 
diff --git a/content/cookbook/05-node/61-embed-text-batch.mdx b/content/cookbook/05-node/61-embed-text-batch.mdx
index 0f8fd22fafde..b3bab7c4ed51 100644
--- a/content/cookbook/05-node/61-embed-text-batch.mdx
+++ b/content/cookbook/05-node/61-embed-text-batch.mdx
@@ -17,7 +17,7 @@ import 'dotenv/config';
 
 async function main() {
   const { embeddings, usage } = await embedMany({
-    model: openai.embedding('text-embedding-3-small'),
+    model: openai.textEmbeddingModel('text-embedding-3-small'),
     values: [
       'sunny day at the beach',
       'rainy afternoon in the city',
diff --git a/content/cookbook/05-node/70-intercept-fetch-requests.mdx b/content/cookbook/05-node/70-intercept-fetch-requests.mdx
index 2b553b3b57a9..c9b1b5ce3ff6 100644
--- a/content/cookbook/05-node/70-intercept-fetch-requests.mdx
+++ b/content/cookbook/05-node/70-intercept-fetch-requests.mdx
@@ -38,7 +38,7 @@ const openai = createOpenAI({
 });
 
 const { text } = await generateText({
-  model: openai('gpt-3.5-turbo'),
+  model: openai('gpt-4o'),
   prompt: 'Why is the sky blue?',
 });
 ```
diff --git a/content/cookbook/05-node/80-local-caching-middleware.mdx b/content/cookbook/05-node/80-local-caching-middleware.mdx
index 2d95a6efb562..1c85500f2c96 100644
--- a/content/cookbook/05-node/80-local-caching-middleware.mdx
+++ b/content/cookbook/05-node/80-local-caching-middleware.mdx
@@ -6,6 +6,8 @@ tags: ['streaming', 'caching', 'middleware']
 
 # Local Caching Middleware
 
+<Note type="warning">This example is not yet updated to v5.</Note>
+
 When developing AI applications, you'll often find yourself repeatedly making the same API calls during development. This can lead to increased costs and slower development cycles. A caching middleware allows you to store responses locally and reuse them when the same inputs are provided.
 
 This approach is particularly useful in two scenarios:
diff --git a/content/cookbook/15-api-servers/30-hono.mdx b/content/cookbook/15-api-servers/30-hono.mdx
index e03f8f661bd2..dd907ba9bdb4 100644
--- a/content/cookbook/15-api-servers/30-hono.mdx
+++ b/content/cookbook/15-api-servers/30-hono.mdx
@@ -23,15 +23,39 @@ curl -X POST http://localhost:8080
 
 **Full example**: [github.com/vercel/ai/examples/hono](https://github.com/vercel/ai/tree/main/examples/hono)
 
-### Data Stream
+### UI Message Stream
 
-You can use the `toDataStream` method to get a data stream from the result and then pipe it to the response.
+You can use the `toUIMessageStreamResponse` method to create a properly formatted streaming response.
 
 ```ts filename='index.ts'
 import { openai } from '@ai-sdk/openai';
 import { serve } from '@hono/node-server';
 import { streamText } from 'ai';
 import { Hono } from 'hono';
+
+const app = new Hono();
+
+app.post('/', async c => {
+  const result = streamText({
+    model: openai('gpt-4o'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  return result.toUIMessageStreamResponse();
+});
+
+serve({ fetch: app.fetch, port: 8080 });
+```
+
+### Text Stream
+
+You can use the `textStream` property to get a text stream from the result and then pipe it to the response.
+
+```ts filename='index.ts' highlight="17"
+import { openai } from '@ai-sdk/openai';
+import { serve } from '@hono/node-server';
+import { streamText } from 'ai';
+import { Hono } from 'hono';
 import { stream } from 'hono/streaming';
 
 const app = new Hono();
@@ -42,11 +66,9 @@ app.post('/', async c => {
     prompt: 'Invent a new holiday and describe its traditions.',
   });
 
-  // Mark the response as a v1 data stream:
-  c.header('X-Vercel-AI-Data-Stream', 'v1');
   c.header('Content-Type', 'text/plain; charset=utf-8');
 
-  return stream(c, stream => stream.pipe(result.toDataStream()));
+  return stream(c, stream => stream.pipe(result.textStream));
 });
 
 serve({ fetch: app.fetch, port: 8080 });
@@ -97,33 +119,6 @@ app.post('/stream-data', async c => {
 serve({ fetch: app.fetch, port: 8080 });
 ```
 
-### Text Stream
-
-You can use the `textStream` property to get a text stream from the result and then pipe it to the response.
-
-```ts filename='index.ts' highlight="17"
-import { openai } from '@ai-sdk/openai';
-import { serve } from '@hono/node-server';
-import { streamText } from 'ai';
-import { Hono } from 'hono';
-import { stream } from 'hono/streaming';
-
-const app = new Hono();
-
-app.post('/', async c => {
-  const result = streamText({
-    model: openai('gpt-4o'),
-    prompt: 'Invent a new holiday and describe its traditions.',
-  });
-
-  c.header('Content-Type', 'text/plain; charset=utf-8');
-
-  return stream(c, stream => stream.pipe(result.textStream));
-});
-
-serve({ fetch: app.fetch, port: 8080 });
-```
-
 ## Troubleshooting
 
 - Streaming not working when [proxied](/docs/troubleshooting/streaming-not-working-when-proxied)
diff --git a/content/cookbook/20-rsc/50-call-tools.mdx b/content/cookbook/20-rsc/50-call-tools.mdx
index 70eb129e218a..61da249f4263 100644
--- a/content/cookbook/20-rsc/50-call-tools.mdx
+++ b/content/cookbook/20-rsc/50-call-tools.mdx
@@ -106,7 +106,7 @@ export async function continueConversation(history: Message[]) {
     tools: {
       celsiusToFahrenheit: {
         description: 'Converts celsius to fahrenheit',
-        parameters: z.object({
+        inputSchema: z.object({
           value: z.string().describe('The value in celsius'),
         }),
         execute: async ({ value }) => {
diff --git a/content/cookbook/20-rsc/51-call-tools-in-parallel.mdx b/content/cookbook/20-rsc/51-call-tools-in-parallel.mdx
index 5a2d6fd0abb2..fb2627fdc147 100644
--- a/content/cookbook/20-rsc/51-call-tools-in-parallel.mdx
+++ b/content/cookbook/20-rsc/51-call-tools-in-parallel.mdx
@@ -112,7 +112,7 @@ export async function continueConversation(history: Message[]) {
     tools: {
       getWeather: {
         description: 'Get the weather for a location',
-        parameters: z.object({
+        inputSchema: z.object({
           city: z.string().describe('The city to get the weather for'),
           unit: z
             .enum(['C', 'F'])
diff --git a/content/cookbook/20-rsc/60-save-messages-to-database.mdx b/content/cookbook/20-rsc/60-save-messages-to-database.mdx
index 766b67651a0e..373cc915fa3e 100644
--- a/content/cookbook/20-rsc/60-save-messages-to-database.mdx
+++ b/content/cookbook/20-rsc/60-save-messages-to-database.mdx
@@ -143,7 +143,7 @@ export async function continueConversation(
       showStockInformation: {
         description:
           'Get stock information for symbol for the last numOfMonths months',
-        parameters: z.object({
+        inputSchema: z.object({
           symbol: z
             .string()
             .describe('The stock symbol to get information for'),
diff --git a/content/cookbook/20-rsc/90-render-visual-interface-in-chat.mdx b/content/cookbook/20-rsc/90-render-visual-interface-in-chat.mdx
index 8d2a3ae01fbe..a2e59c546c77 100644
--- a/content/cookbook/20-rsc/90-render-visual-interface-in-chat.mdx
+++ b/content/cookbook/20-rsc/90-render-visual-interface-in-chat.mdx
@@ -155,7 +155,7 @@ export async function continueConversation(
       showStockInformation: {
         description:
           'Get stock information for symbol for the last numOfMonths months',
-        parameters: z.object({
+        inputSchema: z.object({
           symbol: z
             .string()
             .describe('The stock symbol to get information for'),
@@ -177,7 +177,7 @@ export async function continueConversation(
       },
       showFlightStatus: {
         description: 'Get the status of a flight',
-        parameters: z.object({
+        inputSchema: z.object({
           flightNumber: z
             .string()
             .describe('The flight number to get status for'),
diff --git a/content/cookbook/20-rsc/91-stream-updates-to-visual-interfaces.mdx b/content/cookbook/20-rsc/91-stream-updates-to-visual-interfaces.mdx
index bfc5c75d2f6a..e6acadbd0d57 100644
--- a/content/cookbook/20-rsc/91-stream-updates-to-visual-interfaces.mdx
+++ b/content/cookbook/20-rsc/91-stream-updates-to-visual-interfaces.mdx
@@ -112,7 +112,7 @@ export async function continueConversation(
     tools: {
       deploy: {
         description: 'Deploy repository to vercel',
-        parameters: z.object({
+        inputSchema: z.object({
           repositoryName: z
             .string()
             .describe('The name of the repository, example: vercel/ai-chatbot'),
diff --git a/content/cookbook/20-rsc/92-stream-ui-record-token-usage.mdx b/content/cookbook/20-rsc/92-stream-ui-record-token-usage.mdx
index 864e70b8a997..ad40237f965a 100644
--- a/content/cookbook/20-rsc/92-stream-ui-record-token-usage.mdx
+++ b/content/cookbook/20-rsc/92-stream-ui-record-token-usage.mdx
@@ -116,7 +116,7 @@ export async function continueConversation(
     tools: {
       deploy: {
         description: 'Deploy repository to vercel',
-        parameters: z.object({
+        inputSchema: z.object({
           repositoryName: z
             .string()
             .describe('The name of the repository, example: vercel/ai-chatbot'),
diff --git a/content/docs/01-announcing-ai-sdk-5-beta/index.mdx b/content/docs/01-announcing-ai-sdk-5-beta/index.mdx
index cd81279ed154..876cb0764d98 100644
--- a/content/docs/01-announcing-ai-sdk-5-beta/index.mdx
+++ b/content/docs/01-announcing-ai-sdk-5-beta/index.mdx
@@ -335,7 +335,6 @@ const { messages, sendMessage } = useChat({
     api: '/api/chat', // your chat endpoint
     headers: { 'Custom-Header': 'value' },
   }),
-  maxSteps: 5,
 });
 ```
 
@@ -364,7 +363,7 @@ The `prepareStep` function gives you fine-grained control over each step in a mu
 ```ts
 const result = await generateText({
   // ...
-  experimental_prepareStep: async ({ model, stepNumber, maxSteps, steps }) => {
+  prepareStep: async ({ model, stepNumber, steps }) => {
     if (stepNumber === 0) {
       return {
         // use a different model for this step:
@@ -372,7 +371,7 @@ const result = await generateText({
         // force a tool choice for this step:
         toolChoice: { type: 'tool', toolName: 'tool1' },
         // limit the tools that are available for this step:
-        experimental_activeTools: ['tool1'],
+        activeTools: ['tool1'],
       };
     }
     // when nothing is returned, the default settings are used
diff --git a/content/docs/02-foundations/02-providers-and-models.mdx b/content/docs/02-foundations/02-providers-and-models.mdx
index cf993bf2f7d0..4a69e9e369a2 100644
--- a/content/docs/02-foundations/02-providers-and-models.mdx
+++ b/content/docs/02-foundations/02-providers-and-models.mdx
@@ -9,7 +9,7 @@ Companies such as OpenAI and Anthropic (providers) offer access to a range of la
 
 Each provider typically has its own unique method for interfacing with their models, complicating the process of switching providers and increasing the risk of vendor lock-in.
 
-To solve these challenges, AI SDK Core offers a standardized approach to interacting with LLMs through a [language model specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v1) that abstracts differences between providers. This unified interface allows you to switch between providers with ease while using the same API for all providers.
+To solve these challenges, AI SDK Core offers a standardized approach to interacting with LLMs through a [language model specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v2) that abstracts differences between providers. This unified interface allows you to switch between providers with ease while using the same API for all providers.
 
 Here is an overview of the AI SDK Provider Architecture:
 
@@ -54,7 +54,7 @@ You can also use the [OpenAI Compatible provider](/providers/openai-compatible-p
 - [LM Studio](/providers/openai-compatible-providers/lmstudio)
 - [Baseten](/providers/openai-compatible-providers/baseten)
 
-Our [language model specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v1) is published as an open-source package, which you can use to create [custom providers](/providers/community-providers/custom-providers).
+Our [language model specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v2) is published as an open-source package, which you can use to create [custom providers](/providers/community-providers/custom-providers).
 
 The open-source community has created the following providers:
 
@@ -75,6 +75,9 @@ The open-source community has created the following providers:
 - [LangDB Provider](/providers/community-providers/langdb) (`@langdb/vercel-provider`)
 - [Dify Provider](/providers/community-providers/dify) (`dify-ai-provider`)
 - [Sarvam Provider](/providers/community-providers/sarvam) (`sarvam-ai-provider`)
+- [Claude Code Provider](/providers/community-providers/claude-code) (`ai-sdk-provider-claude-code`)
+- [Built-in AI Provider](/providers/community-providers/built-in-ai) (`built-in-ai`)
+- [Gemini CLI Provider](/providers/community-providers/gemini-cli) (`ai-sdk-provider-gemini-cli`)
 
 ## Self-Hosted Models
 
@@ -93,6 +96,7 @@ Here are the capabilities of popular models:
 
 | Provider                                                                 | Model                                       | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
 | ------------------------------------------------------------------------ | ------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-4`                                    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3`                                    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3-fast`                               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3-mini`                               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
@@ -115,14 +119,16 @@ Here are the capabilities of popular models:
 | [OpenAI](/providers/ai-sdk-providers/openai)                             | `o1`                                        | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [OpenAI](/providers/ai-sdk-providers/openai)                             | `o1-mini`                                   | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [OpenAI](/providers/ai-sdk-providers/openai)                             | `o1-preview`                                | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-4-opus-20250514`                    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-4-sonnet-20250514`                  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-opus-4-20250514`                    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-sonnet-4-20250514`                  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-3-7-sonnet-20250219`                | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-3-5-sonnet-20241022`                | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-3-5-sonnet-20240620`                | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Anthropic](/providers/ai-sdk-providers/anthropic)                       | `claude-3-5-haiku-20241022`                 | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `pixtral-large-latest`                      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-large-latest`                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-medium-latest`                     | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-medium-2505`                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-small-latest`                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `pixtral-12b-2409`                          | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Google Generative AI](/providers/ai-sdk-providers/google-generative-ai) | `gemini-2.0-flash-exp`                      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
diff --git a/content/docs/02-foundations/04-tools.mdx b/content/docs/02-foundations/04-tools.mdx
index 0818400905d8..a2b131ba9f82 100644
--- a/content/docs/02-foundations/04-tools.mdx
+++ b/content/docs/02-foundations/04-tools.mdx
@@ -92,7 +92,7 @@ When you work with tools, you typically need a mix of application specific tools
 There are several providers that offer pre-built tools as **toolkits** that you can use out of the box:
 
 - **[agentic](https://github.com/transitive-bullshit/agentic)** - A collection of 20+ tools. Most tools connect to access external APIs such as [Exa](https://exa.ai/) or [E2B](https://e2b.dev/).
-- **[browserbase](https://docs.browserbase.com/integrations/vercel-ai/introduction)** - Browser tool that runs a headless browser
+- **[browserbase](https://docs.browserbase.com/integrations/vercel/introduction#vercel-ai-integration)** - Browser tool that runs a headless browser
 - **[browserless](https://docs.browserless.io/ai-integrations/vercel-ai-sdk)** - Browser automation service with AI integration - self hosted or cloud based
 - **[Smithery](https://smithery.ai/docs/use/connect)** - Smithery provides an open marketplace of 6K+ MCPs, including [Browserbase](https://browserbase.com/) and [Exa](https://exa.ai/).
 - **[Stripe agent tools](https://docs.stripe.com/agents)** - Tools for interacting with Stripe.
@@ -102,7 +102,8 @@ There are several providers that offer pre-built tools as **toolkits** that you
 - **[AI Tool Maker](https://github.com/nihaocami/ai-tool-maker)** - A CLI utility to generate AI SDK tools from OpenAPI specs.
 - **[Composio](https://docs.composio.dev/javascript/vercel)** - Composio provides 250+ tools like GitHub, Gmail, Salesforce and [more](https://composio.dev/tools).
 - **[Interlify](https://www.interlify.com/docs/integrate-with-vercel-ai)** - Convert APIs into tools so that AI can connect to your backend in minutes.
-- **[Freestyle](https://docs.freestyle.sh/integrations/vercel)** — Tool for your AI to execute JavaScript or TypeScript with arbitrary node modules.
+- **[Freestyle](https://docs.freestyle.sh/integrations/vercel)** - Tool for your AI to execute JavaScript or TypeScript with arbitrary node modules.
+- **[JigsawStack](http://www.jigsawstack.com/docs/integration/vercel)** - JigsawStack provides over 30+ small custom fine tuned models available for specific uses.
 
 <Note>
   Do you have open source tools or tool libraries that are compatible with the
diff --git a/content/docs/02-foundations/06-agents.mdx b/content/docs/02-foundations/06-agents.mdx
index c17c661ede7b..a85bb640e9f3 100644
--- a/content/docs/02-foundations/06-agents.mdx
+++ b/content/docs/02-foundations/06-agents.mdx
@@ -19,7 +19,7 @@ The basic building block - one call to an LLM to get a response. Useful for stra
 
 Enhanced capabilities through tools (like calculators, APIs, or databases) that the LLM can use to accomplish tasks. Tools provide a controlled way to extend what the LLM can do.
 
-When solving complex problems, **an LLM can make multiple tool calls across multiple steps without you explicity specifying the order** - for example, looking up information in a database, using that to make calculations, and then storing results. The AI SDK makes this [multi-step tool usage](#multi-step-tool-usage) straightforward through the `maxSteps` parameter.
+When solving complex problems, **an LLM can make multiple tool calls across multiple steps without you explicity specifying the order** - for example, looking up information in a database, using that to make calculations, and then storing results. The AI SDK makes this [multi-step tool usage](#multi-step-tool-usage) straightforward through the `stopWhen` parameter.
 
 ### Multi-Agent Systems
 
diff --git a/content/docs/02-getting-started/02-nextjs-app-router.mdx b/content/docs/02-getting-started/02-nextjs-app-router.mdx
index c2f3f75742cb..99e3c66882ed 100644
--- a/content/docs/02-getting-started/02-nextjs-app-router.mdx
+++ b/content/docs/02-getting-started/02-nextjs-app-router.mdx
@@ -322,39 +322,75 @@ Now, when you ask about the weather, you'll see the tool call and its result dis
 
 You may have noticed that while the tool is now visible in the chat interface, the model isn't using this information to answer your original query. This is because once the model generates a tool call, it has technically completed its generation.
 
-To solve this, you can enable multi-step tool calls using the `maxSteps` option in your `useChat` hook. This feature will automatically send tool results back to the model to trigger an additional generation. In this case, you want the model to answer your question using the results from the weather tool.
+To solve this, you can enable multi-step tool calls using `stopWhen`. By default, `stopWhen` is set to `stepCountIs(1)`, which means generation stops after the first step when there are tool results. By changing this condition, you can allow the model to automatically send tool results back to itself to trigger additional generations until your specified stopping condition is met. In this case, you want the model to continue generating so it can use the weather tool results to answer your original question.
 
-### Update Your Client-Side Code
+### Update Your Route Handler
 
-Modify your `app/page.tsx` file to include the `maxSteps` option:
+Modify your `app/api/chat/route.ts` file to include the `stopWhen` condition:
 
-```tsx filename="app/page.tsx"
-'use client';
+```tsx filename="app/api/chat/route.ts"
+import { openai } from '@ai-sdk/openai';
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
+import { z } from 'zod';
 
-import { useChat } from '@ai-sdk/react';
-import { useState } from 'react';
+export const maxDuration = 30;
 
-export default function Chat() {
-  const [input, setInput] = useState('');
-  const { messages, sendMessage } = useChat({
-    maxSteps: 5,
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location (fahrenheit)',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: async ({ location }) => {
+          const temperature = Math.round(Math.random() * (90 - 32) + 32);
+          return {
+            location,
+            temperature,
+          };
+        },
+      }),
+    },
   });
 
-  // ... rest of your component code
+  return result.toUIMessageStreamResponse();
 }
 ```
 
+In this updated code:
+
+1. You set `stopWhen` to be when `stepCountIs` 5, allowing the model to use up to 5 "steps" for any given generation.
+2. You add an `onStepFinish` callback to log any `toolResults` from each step of the interaction, helping you understand the model's tool usage. This means we can also delete the `toolCall` and `toolResult` `console.log` statements from the previous example.
+
 Head back to the browser and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
 
-By setting `maxSteps` to 5, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
+By setting `stopWhen: stepCountIs(5)`, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Celsius to Fahrenheit.
 
-### Update Your Route Handler
+### Add another tool
 
 Update your `app/api/chat/route.ts` file to add a new tool to convert the temperature from Fahrenheit to Celsius:
 
 ```tsx filename="app/api/chat/route.ts" highlight="27-40"
 import { openai } from '@ai-sdk/openai';
-import { streamText, UIMessage, convertToModelMessages, tool } from 'ai';
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stopWhen,
+} from 'ai';
 import { z } from 'zod';
 
 export const maxDuration = 30;
@@ -365,6 +401,7 @@ export async function POST(req: Request) {
   const result = streamText({
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
@@ -412,9 +449,7 @@ import { useState } from 'react';
 
 export default function Chat() {
   const [input, setInput] = useState('');
-  const { messages, sendMessage } = useChat({
-    maxSteps: 3,
-  });
+  const { messages, sendMessage } = useChat();
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
       {messages.map(message => (
diff --git a/content/docs/02-getting-started/03-nextjs-pages-router.mdx b/content/docs/02-getting-started/03-nextjs-pages-router.mdx
index 9fb9b5179d87..8e45727ca4f2 100644
--- a/content/docs/02-getting-started/03-nextjs-pages-router.mdx
+++ b/content/docs/02-getting-started/03-nextjs-pages-router.mdx
@@ -313,32 +313,70 @@ Now, when you ask about the weather, you'll see the tool call and its result dis
 
 You may have noticed that while the tool is now visible in the chat interface, the model isn't using this information to answer your original query. This is because once the model generates a tool call, it has technically completed its generation.
 
-To solve this, you can enable multi-step tool calls using the `maxSteps` option in your `useChat` hook. This feature will automatically send tool results back to the model to trigger an additional generation. In this case, you want the model to answer your question using the results from the weather tool.
+To solve this, you can enable multi-step tool calls using `stopWhen`. By default, `stopWhen` is set to `stepCountIs(1)`, which means generation stops after the first step when there are tool results. By changing this condition, you can allow the model to automatically send tool results back to itself to trigger additional generations until your specified stopping condition is met. In this case, you want the model to continue generating so it can use the weather tool results to answer your original question.
 
-### Update Your Client-Side Code
+### Update Your Route Handler
 
-Modify your `pages/index.tsx` file to include the `maxSteps` option:
+Modify your `app/api/chat/route.ts` file to include the `stopWhen` condition:
 
-```tsx filename="pages/index.tsx"
-import { useChat } from '@ai-sdk/react';
-import { useState } from 'react';
+```tsx filename="app/api/chat/route.ts"
+import { openai } from '@ai-sdk/openai';
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
+import { z } from 'zod';
 
-export default function Chat() {
-  const [input, setInput] = useState('');
-  const { messages, sendMessage } = useChat({
-    maxSteps: 5,
+export const maxDuration = 30;
+
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location (fahrenheit)',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: async ({ location }) => {
+          const temperature = Math.round(Math.random() * (90 - 32) + 32);
+          return {
+            location,
+            temperature,
+          };
+        },
+      }),
+    },
   });
-  // ... rest of your component
+
+  return result.toUIMessageStreamResponse();
 }
 ```
 
-### Update Your Route Handler
+Head back to the browser and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
 
-Let's also add another tool to demonstrate multi-step tool calls. Update your `app/api/chat/route.ts` file:
+By setting `stopWhen: stepCountIs(5)`, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Celsius to Fahrenheit.
 
-```tsx filename="app/api/chat/route.ts"
+### Add another tool
+
+Update your `app/api/chat/route.ts` file to add a new tool to convert the temperature from Fahrenheit to Celsius:
+
+```tsx filename="app/api/chat/route.ts" highlight="27-40"
 import { openai } from '@ai-sdk/openai';
-import { streamText, UIMessage, convertToModelMessages, tool } from 'ai';
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
 import { z } from 'zod';
 
 export const maxDuration = 30;
@@ -349,6 +387,7 @@ export async function POST(req: Request) {
   const result = streamText({
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
@@ -394,9 +433,7 @@ import { useState } from 'react';
 
 export default function Chat() {
   const [input, setInput] = useState('');
-  const { messages, sendMessage } = useChat({
-    maxSteps: 3,
-  });
+  const { messages, sendMessage } = useChat();
   return (
     <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
       {messages.map(message => (
diff --git a/content/docs/02-getting-started/04-svelte.mdx b/content/docs/02-getting-started/04-svelte.mdx
index c5bcf9112464..dc2a8eb794a9 100644
--- a/content/docs/02-getting-started/04-svelte.mdx
+++ b/content/docs/02-getting-started/04-svelte.mdx
@@ -201,7 +201,13 @@ Modify your `src/routes/api/chat/+server.ts` file to include the new weather too
 
 ```tsx filename="src/routes/api/chat/+server.ts" highlight="2,3,17-31"
 import { createOpenAI } from '@ai-sdk/openai';
-import { streamText, type UIMessage, convertToModelMessages, tool } from 'ai';
+import {
+  streamText,
+  type UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
 import { z } from 'zod';
 
 import { OPENAI_API_KEY } from '$env/static/private';
@@ -308,33 +314,74 @@ Now, when you ask about the weather, you'll see the tool call and its result dis
 
 You may have noticed that while the tool is now visible in the chat interface, the model isn't using this information to answer your original query. This is because once the model generates a tool call, it has technically completed its generation.
 
-To solve this, you can enable multi-step tool calls using the `maxSteps` option in your `Chat` class. This feature will automatically send tool results back to the model to trigger an additional generation. In this case, you want the model to answer your question using the results from the weather tool.
+To solve this, you can enable multi-step tool calls using `stopWhen`. By default, `stopWhen` is set to `stepCountIs(1)`, which means generation stops after the first step when there are tool results. By changing this condition, you can allow the model to automatically send tool results back to itself to trigger additional generations until your specified stopping condition is met. In this case, you want the model to continue generating so it can use the weather tool results to answer your original question.
 
-### Update Your UI
+### Update Your API Route
 
-Modify your `src/routes/+page.svelte` file to include the `maxSteps` option:
+Modify your `src/routes/api/chat/+server.ts` file to include the `stopWhen` condition:
 
-```svelte filename="src/routes/+page.svelte" highlight="4"
-<script>
-  import { Chat } from '@ai-sdk/svelte';
+```ts filename="src/routes/api/chat/+server.ts" highlight="15"
+import { createOpenAI } from '@ai-sdk/openai';
+import {
+  streamText,
+  type UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
+import { z } from 'zod';
 
-  const chat = new Chat({ maxSteps: 5 });
-</script>
+import { OPENAI_API_KEY } from '$env/static/private';
+
+const openai = createOpenAI({
+  apiKey: OPENAI_API_KEY,
+});
 
-<!-- ... rest of your component code -->
+export async function POST({ request }) {
+  const { messages }: { messages: UIMessage[] } = await request.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location (fahrenheit)',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: async ({ location }) => {
+          const temperature = Math.round(Math.random() * (90 - 32) + 32);
+          return {
+            location,
+            temperature,
+          };
+        },
+      }),
+    },
+  });
+
+  return result.toUIMessageStreamResponse();
+}
 ```
 
 Head back to the browser and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
 
-By setting `maxSteps` to 5, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
+By setting `stopWhen: stepCountIs(5)`, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
 
-### Update Your API Route
+### Add another tool
 
 Update your `src/routes/api/chat/+server.ts` file to add a new tool to convert the temperature from Fahrenheit to Celsius:
 
-```tsx filename="src/routes/api/chat/+server.ts" highlight="31-44"
+```tsx filename="src/routes/api/chat/+server.ts" highlight="32-45"
 import { createOpenAI } from '@ai-sdk/openai';
-import { streamText, type UIMessage, convertToModelMessages, tool } from 'ai';
+import {
+  streamText,
+  type UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
 import { z } from 'zod';
 
 import { OPENAI_API_KEY } from '$env/static/private';
@@ -349,6 +396,7 @@ export async function POST({ request }) {
   const result = streamText({
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
+    stopWhen: stepCountIs(5),
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
@@ -384,14 +432,16 @@ export async function POST({ request }) {
 }
 ```
 
+### Update Your Frontend
+
 Update your UI to handle the new temperature conversion tool by modifying the tool part handling:
 
-```svelte filename="src/routes/+page.svelte" highlight="21"
+```svelte filename="src/routes/+page.svelte" highlight="17"
 <script lang="ts">
   import { Chat } from '@ai-sdk/svelte';
 
   let input = '';
-  const chat = new Chat({ maxSteps: 5 });
+  const chat = new Chat({});
 
   function handleSubmit(event: SubmitEvent) {
     event.preventDefault();
diff --git a/content/docs/02-getting-started/05-nuxt.mdx b/content/docs/02-getting-started/05-nuxt.mdx
index 4f7033141479..6276ff95f2a9 100644
--- a/content/docs/02-getting-started/05-nuxt.mdx
+++ b/content/docs/02-getting-started/05-nuxt.mdx
@@ -73,7 +73,7 @@ Create a `.env` file in your project root and add your OpenAI API Key. This key
 Edit the `.env` file:
 
 ```env filename=".env"
-OPENAI_API_KEY=xxxxxxxxx
+NUXT_OPENAI_API_KEY=xxxxxxxxx
 ```
 
 Replace `xxxxxxxxx` with your actual OpenAI API key and configure the environment variable in `nuxt.config.ts`:
@@ -82,7 +82,7 @@ Replace `xxxxxxxxx` with your actual OpenAI API key and configure the environmen
 export default defineNuxtConfig({
   // rest of your nuxt config
   runtimeConfig: {
-    openaiApiKey: process.env.OPENAI_API_KEY,
+    openaiApiKey: '',
   },
 });
 ```
@@ -314,40 +314,77 @@ Now, when you ask about the weather, you'll see the tool call and its result dis
 
 You may have noticed that while the tool is now visible in the chat interface, the model isn't using this information to answer your original query. This is because once the model generates a tool call, it has technically completed its generation.
 
-To solve this, you can enable multi-step tool calls using the `maxSteps` option in your `useChat` hook. This feature will automatically send tool results back to the model to trigger an additional generation. In this case, you want the model to answer your question using the results from the weather tool.
+To solve this, you can enable multi-step tool calls using `stopWhen`. By default, `stopWhen` is set to `stepCountIs(1)`, which means generation stops after the first step when there are tool results. By changing this condition, you can allow the model to automatically send tool results back to itself to trigger additional generations until your specified stopping condition is met. In this case, you want the model to continue generating so it can use the weather tool results to answer your original question.
 
-### Update Your Client-Side Code
+### Update Your API Route
 
-Modify your `pages/index.vue` file to include the `maxSteps` option:
+Modify your `server/api/chat.ts` file to include the `stopWhen` condition:
 
-```typescript filename="pages/index.vue" highlight="6"
-<script setup lang="ts">
-import { Chat } from "@ai-sdk/vue";
-import { ref } from "vue";
+```typescript filename="server/api/chat.ts" highlight="16"
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+import { z } from 'zod';
 
-const input = ref("");
-const chat = new Chat({ maxSteps: 5 });
+export default defineLazyEventHandler(async () => {
+  const apiKey = useRuntimeConfig().openaiApiKey;
+  if (!apiKey) throw new Error('Missing OpenAI API key');
+  const openai = createOpenAI({
+    apiKey: apiKey,
+  });
 
-const handleSubmit = (e: Event) => {
-    e.preventDefault();
-    chat.sendMessage({ text: input.value });
-    input.value = "";
-};
-</script>
+  return defineEventHandler(async (event: any) => {
+    const { messages }: { messages: UIMessage[] } = await readBody(event);
+
+    const result = streamText({
+      model: openai('gpt-4o'),
+      messages: convertToModelMessages(messages),
+      stopWhen: stepCountIs(5),
+      tools: {
+        weather: tool({
+          description: 'Get the weather in a location (fahrenheit)',
+          inputSchema: z.object({
+            location: z
+              .string()
+              .describe('The location to get the weather for'),
+          }),
+          execute: async ({ location }) => {
+            const temperature = Math.round(Math.random() * (90 - 32) + 32);
+            return {
+              location,
+              temperature,
+            };
+          },
+        }),
+      },
+    });
 
-<!-- ... rest of your component code -->
+    return result.toUIMessageStreamResponse();
+  });
+});
 ```
 
 Head back to the browser and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
 
-By setting `maxSteps` to 5, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
+By setting `stopWhen: stepCountIs(5)`, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
 
-### Update Your API Route
+### Add another tool
 
 Update your `server/api/chat.ts` file to add a new tool to convert the temperature from Fahrenheit to Celsius:
 
 ```typescript filename="server/api/chat.ts" highlight="34-47"
-import { streamText, UIMessage, convertToModelMessages, tool } from 'ai';
+import {
+  streamText,
+  UIMessage,
+  convertToModelMessages,
+  tool,
+  stepCountIs,
+} from 'ai';
 import { createOpenAI } from '@ai-sdk/openai';
 import { z } from 'zod';
 
@@ -364,6 +401,7 @@ export default defineLazyEventHandler(async () => {
     const result = streamText({
       model: openai('gpt-4o'),
       messages: convertToModelMessages(messages),
+      stopWhen: stepCountIs(5),
       tools: {
         weather: tool({
           description: 'Get the weather in a location (fahrenheit)',
@@ -402,6 +440,8 @@ export default defineLazyEventHandler(async () => {
 });
 ```
 
+### Update Your Frontend
+
 Update your UI to handle the new temperature conversion tool by modifying the tool part handling:
 
 ```typescript filename="pages/index.vue" highlight="24"
@@ -410,7 +450,7 @@ import { Chat } from "@ai-sdk/vue";
 import { ref } from "vue";
 
 const input = ref("");
-const chat = new Chat({ maxSteps: 5 });
+const chat = new Chat({});
 
 const handleSubmit = (e: Event) => {
     e.preventDefault();
diff --git a/content/docs/02-getting-started/06-nodejs.mdx b/content/docs/02-getting-started/06-nodejs.mdx
index 97ac5acc73e6..5ae9bd78ebe0 100644
--- a/content/docs/02-getting-started/06-nodejs.mdx
+++ b/content/docs/02-getting-started/06-nodejs.mdx
@@ -5,7 +5,9 @@ description: Welcome to the AI SDK quickstart guide for Node.js!
 
 # Node.js Quickstart
 
-In this quickstart tutorial, you'll build a simple AI chatbot with a streaming user interface. Along the way, you'll learn key concepts and techniques that are fundamental to using the SDK in your own projects.
+The AI SDK is a powerful Typescript library designed to help developers build AI-powered applications.
+
+In this quickstart tutorial, you'll build a simple AI-chatbot with a streaming user interface. Along the way, you'll learn key concepts and techniques that are fundamental to using the SDK in your own projects.
 
 If you are unfamiliar with the concepts of [Prompt Engineering](/docs/advanced/prompt-engineering) and [HTTP Streaming](/docs/advanced/why-streaming), you can optionally read these documents first.
 
@@ -45,10 +47,6 @@ pnpm add ai@beta @ai-sdk/openai@beta zod dotenv
 pnpm add -D @types/node tsx typescript
 ```
 
-<Note type="secondary" fill>
-  Make sure you are using `ai` version 3.1 or higher.
-</Note>
-
 The `ai` and `@ai-sdk/openai` packages contain the AI SDK and the [ AI SDK OpenAI provider](/providers/ai-sdk-providers/openai), respectively. You will use `zod` to define type-safe schemas that you will pass to the large language model (LLM). You will use `dotenv` to access environment variables (your OpenAI key) within your application. There are also three development dependencies, installed with the `-D` flag, that are necessary to run your Typescript code.
 
 ### Configure OpenAI API key
@@ -77,11 +75,9 @@ Create an `index.ts` file in the root of your project and add the following code
 ```ts filename="index.ts"
 import { openai } from '@ai-sdk/openai';
 import { ModelMessage, streamText } from 'ai';
-import dotenv from 'dotenv';
+import 'dotenv/config';
 import * as readline from 'node:readline/promises';
 
-dotenv.config();
-
 const terminal = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
@@ -139,7 +135,7 @@ You should see a prompt in your terminal. Test it out by entering a message and
 
 While large language models (LLMs) have incredible generation capabilities, they struggle with discrete tasks (e.g. mathematics) and interacting with the outside world (e.g. getting the weather). This is where [tools](/docs/ai-sdk-core/tools-and-tool-calling) come in.
 
-Tools are actions that an LLM can invoke. The results of these actions can be reported back to the LLM to be considered for the next response.
+Tools are actions that an LLM can invoke. The results of these actions can be reported back to the LLM to be considered in the next response.
 
 For example, if a user asks about the current weather, without tools, the model would only be able to provide general information based on its training data. But with a weather tool, it can fetch and provide up-to-date, location-specific weather information.
 
@@ -152,12 +148,10 @@ Modify your `index.ts` file to include the new weather tool:
 ```ts filename="index.ts" highlight="2,4,25-38"
 import { openai } from '@ai-sdk/openai';
 import { ModelMessage, streamText, tool } from 'ai';
-import dotenv from 'dotenv';
+import 'dotenv/config';
 import { z } from 'zod';
 import * as readline from 'node:readline/promises';
 
-dotenv.config();
-
 const terminal = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
@@ -176,16 +170,19 @@ async function main() {
       messages,
       tools: {
         weather: tool({
-          description: 'Get the weather in a location (in Celsius)',
-          parameters: z.object({
+          description: 'Get the weather in a location (fahrenheit)',
+          inputSchema: z.object({
             location: z
               .string()
               .describe('The location to get the weather for'),
           }),
-          execute: async ({ location }) => ({
-            location,
-            temperature: Math.round((Math.random() * 30 + 5) * 10) / 10, // Random temp between 5°C and 35°C
-          }),
+          execute: async ({ location }) => {
+            const temperature = Math.round(Math.random() * (90 - 32) + 32);
+            return {
+              location,
+              temperature,
+            };
+          },
         }),
       },
     });
@@ -209,9 +206,10 @@ In this updated code:
 
 1. You import the `tool` function from the `ai` package.
 2. You define a `tools` object with a `weather` tool. This tool:
+
    - Has a description that helps the model understand when to use it.
-   - Defines parameters using a Zod schema, specifying that it requires a `location` string to execute this tool.
-   - Defines an `execute` function that simulates getting weather data (in this case, it returns a random temperature). This is an asynchronous function, so you could fetch real data from an external API.
+   - Defines `inputSchema` using a Zod schema, specifying that it requires a `location` string to execute this tool. The model will attempt to extract this input from the context of the conversation. If it can't, it will ask the user for the missing information.
+   - Defines an `execute` function that simulates getting weather data (in this case, it returns a random temperature). This is an asynchronous function running on the server so you can fetch real data from an external API.
 
 Now your chatbot can "fetch" weather information for any location the user asks about. When the model determines it needs to use the weather tool, it will generate a tool call with the necessary parameters. The `execute` function will then be automatically run, and the results will be used by the model to generate its response.
 
@@ -222,12 +220,10 @@ Notice the blank "assistant" response? This is because instead of generating a t
 ```typescript highlight="47-48"
 import { openai } from '@ai-sdk/openai';
 import { ModelMessage, streamText, tool } from 'ai';
-import dotenv from 'dotenv';
+import 'dotenv/config';
 import { z } from 'zod';
 import * as readline from 'node:readline/promises';
 
-dotenv.config();
-
 const terminal = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
@@ -246,16 +242,19 @@ async function main() {
       messages,
       tools: {
         weather: tool({
-          description: 'Get the weather in a location (in Celsius)',
-          parameters: z.object({
+          description: 'Get the weather in a location (fahrenheit)',
+          inputSchema: z.object({
             location: z
               .string()
               .describe('The location to get the weather for'),
           }),
-          execute: async ({ location }) => ({
-            location,
-            temperature: Math.round((Math.random() * 30 + 5) * 10) / 10, // Random temp between 5°C and 35°C
-          }),
+          execute: async ({ location }) => {
+            const temperature = Math.round(Math.random() * (90 - 32) + 32);
+            return {
+              location,
+              temperature,
+            };
+          },
         }),
       },
     });
@@ -287,17 +286,15 @@ To solve this, you can enable multi-step tool calls using `stopWhen`. This featu
 
 ### Update Your Application
 
-Modify your `index.ts` file to include the `maxSteps` option:
+Modify your `index.ts` file to configure stopping conditions with `stopWhen`:
 
 ```ts filename="index.ts" highlight="39-42"
 import { openai } from '@ai-sdk/openai';
 import { ModelMessage, streamText, tool, stepCountIs } from 'ai';
-import dotenv from 'dotenv';
+import 'dotenv/config';
 import { z } from 'zod';
 import * as readline from 'node:readline/promises';
 
-dotenv.config();
-
 const terminal = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
@@ -316,21 +313,26 @@ async function main() {
       messages,
       tools: {
         weather: tool({
-          description: 'Get the weather in a location (in Celsius)',
-          parameters: z.object({
+          description: 'Get the weather in a location (fahrenheit)',
+          inputSchema: z.object({
             location: z
               .string()
               .describe('The location to get the weather for'),
           }),
-          execute: async ({ location }) => ({
-            location,
-            temperature: Math.round((Math.random() * 30 + 5) * 10) / 10, // Random temp between 5°C and 35°C
-          }),
+          execute: async ({ location }) => {
+            const temperature = Math.round(Math.random() * (90 - 32) + 32);
+            return {
+              location,
+              temperature,
+            };
+          },
         }),
       },
       stopWhen: stepCountIs(5),
-      onStepFinish: step => {
-        console.log(JSON.stringify(step, null, 2));
+      onStepFinish: async ({ toolResults }) => {
+        if (toolResults.length) {
+          console.log(JSON.stringify(toolResults, null, 2));
+        }
       },
     });
 
@@ -352,7 +354,7 @@ main().catch(console.error);
 In this updated code:
 
 1. You set `stopWhen` to be when `stepCountIs` 5, allowing the model to use up to 5 "steps" for any given generation.
-2. You add an `onStepFinish` callback to log each step of the interaction, helping you understand the model's tool usage. This means we can also delete the `toolCall` and `toolResult` `console.log` statements from the previous example.
+2. You add an `onStepFinish` callback to log any `toolResults` from each step of the interaction, helping you understand the model's tool usage. This means we can also delete the `toolCall` and `toolResult` `console.log` statements from the previous example.
 
 Now, when you ask about the weather in a location, you should see the model using the weather tool results to answer your question.
 
@@ -365,12 +367,10 @@ Update your `index.ts` file to add a new tool to convert the temperature from Ce
 ```ts filename="index.ts" highlight="38-49"
 import { openai } from '@ai-sdk/openai';
 import { ModelMessage, streamText, tool, stepCountIs } from 'ai';
-import dotenv from 'dotenv';
+import 'dotenv/config';
 import { z } from 'zod';
 import * as readline from 'node:readline/promises';
 
-dotenv.config();
-
 const terminal = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
@@ -389,33 +389,40 @@ async function main() {
       messages,
       tools: {
         weather: tool({
-          description: 'Get the weather in a location (in Celsius)',
-          parameters: z.object({
+          description: 'Get the weather in a location (fahrenheit)',
+          inputSchema: z.object({
             location: z
               .string()
               .describe('The location to get the weather for'),
           }),
-          execute: async ({ location }) => ({
-            location,
-            temperature: Math.round((Math.random() * 30 + 5) * 10) / 10, // Random temp between 5°C and 35°C
-          }),
+          execute: async ({ location }) => {
+            const temperature = Math.round(Math.random() * (90 - 32) + 32);
+            return {
+              location,
+              temperature,
+            };
+          },
         }),
-        convertCelsiusToFahrenheit: tool({
-          description: 'Convert a temperature from Celsius to Fahrenheit',
-          parameters: z.object({
-            celsius: z
+        convertFahrenheitToCelsius: tool({
+          description: 'Convert a temperature in fahrenheit to celsius',
+          inputSchema: z.object({
+            temperature: z
               .number()
-              .describe('The temperature in Celsius to convert'),
+              .describe('The temperature in fahrenheit to convert'),
           }),
-          execute: async ({ celsius }) => {
-            const fahrenheit = (celsius * 9) / 5 + 32;
-            return { fahrenheit: Math.round(fahrenheit * 100) / 100 };
+          execute: async ({ temperature }) => {
+            const celsius = Math.round((temperature - 32) * (5 / 9));
+            return {
+              celsius,
+            };
           },
         }),
       },
       stopWhen: stepCountIs(5),
-      onStepFinish: step => {
-        console.log(JSON.stringify(step, null, 2));
+      onStepFinish: async ({ toolResults }) => {
+        if (toolResults.length) {
+          console.log(JSON.stringify(toolResults, null, 2));
+        }
       },
     });
 
@@ -434,16 +441,16 @@ async function main() {
 main().catch(console.error);
 ```
 
-Now, when you ask "What's the weather in New York in Celsius?", you should see a more complete interaction:
+Now, when you ask "What's the weather in New York in celsius?", you should see a more complete interaction:
 
 1. The model will call the weather tool for New York.
 2. You'll see the tool result logged.
-3. It will then call the temperature conversion tool to convert the temperature from Celsius to Fahrenheit.
+3. It will then call the temperature conversion tool to convert the temperature from Fahrenheit to Celsius.
 4. The model will then use that information to provide a natural language response about the weather in New York.
 
 This multi-step approach allows the model to gather information and use it to provide more accurate and contextual responses, making your chatbot considerably more useful.
 
-This example shows how tools can expand the model's capabilities. You can create more complex tools to integrate with real APIs, databases, or any other external systems, allowing the model to access and process real-world data in real-time. Tools bridge the gap between the model's knowledge cutoff and current information.
+This example demonstrates how tools can expand your model's capabilities. You can create more complex tools to integrate with real APIs, databases, or any other external systems, allowing the model to access and process real-world data in real-time and perform actions that interact with the outside world. Tools bridge the gap between the model's knowledge cutoff and current information, while also enabling it to take meaningful actions beyond just generating text responses.
 
 ## Where to Next?
 
diff --git a/content/docs/02-getting-started/07-expo.mdx b/content/docs/02-getting-started/07-expo.mdx
index 5c84d18a639b..7379813c2949 100644
--- a/content/docs/02-getting-started/07-expo.mdx
+++ b/content/docs/02-getting-started/07-expo.mdx
@@ -5,9 +5,9 @@ description: Welcome to the AI SDK quickstart guide for Expo!
 
 # Expo Quickstart
 
-In this quick start tutorial, you'll build a simple AI-chatbot with a streaming user interface with [Expo](https://expo.dev/). Along the way, you'll learn key concepts and techniques that are fundamental to using the SDK in your own projects.
+In this quickstart tutorial, you'll build a simple AI-chatbot with a streaming user interface with [Expo](https://expo.dev/). Along the way, you'll learn key concepts and techniques that are fundamental to using the SDK in your own projects.
 
-Check out [Prompt Engineering](/docs/advanced/prompt-engineering) and [HTTP Streaming](/docs/advanced/why-streaming) if you haven't heard of them.
+If you are unfamiliar with the concepts of [Prompt Engineering](/docs/advanced/prompt-engineering) and [HTTP Streaming](/docs/advanced/why-streaming), you can optionally read these documents first.
 
 ## Prerequisites
 
@@ -126,13 +126,18 @@ Update your root page (`app/(tabs)/index.tsx`) with the following code to show a
 ```tsx filename="app/(tabs)/index.tsx"
 import { generateAPIUrl } from '@/utils';
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
 import { fetch as expoFetch } from 'expo/fetch';
+import { useState } from 'react';
 import { View, TextInput, ScrollView, Text, SafeAreaView } from 'react-native';
 
 export default function App() {
-  const { messages, error, handleInputChange, input, handleSubmit } = useChat({
-    fetch: expoFetch as unknown as typeof globalThis.fetch,
-    api: generateAPIUrl('/api/chat'),
+  const [input, setInput] = useState('');
+  const { messages, error, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      fetch: expoFetch as unknown as typeof globalThis.fetch,
+      api: generateAPIUrl('/api/chat'),
+    }),
     onError: error => console.error(error, 'ERROR'),
   });
 
@@ -169,18 +174,11 @@ export default function App() {
             style={{ backgroundColor: 'white', padding: 8 }}
             placeholder="Say something..."
             value={input}
-            onChange={e =>
-              handleInputChange({
-                ...e,
-                target: {
-                  ...e.target,
-                  value: e.nativeEvent.text,
-                },
-              } as unknown as React.ChangeEvent<HTMLInputElement>)
-            }
+            onChange={e => setInput(e.nativeEvent.text)}
             onSubmitEditing={e => {
-              handleSubmit(e);
               e.preventDefault();
+              sendMessage({ text: input });
+              setInput('');
             }}
             autoFocus={true}
           />
@@ -194,8 +192,9 @@ export default function App() {
 This page utilizes the `useChat` hook, which will, by default, use the `POST` API route you created earlier (`/api/chat`). The hook provides functions and state for handling user input and form submission. The `useChat` hook provides multiple utility functions and state variables:
 
 - `messages` - the current chat messages (an array of objects with `id`, `role`, and `parts` properties).
-- `input` - the current value of the user's input field.
-- `handleInputChange` and `handleSubmit` - functions to handle user interactions (typing into the input field and submitting the form, respectively).
+- `sendMessage` - a function to send a message to the chat API.
+
+The component uses local state (`useState`) to manage the input field value, and handles form submission by calling `sendMessage` with the input text and then clearing the input field.
 
 The LLM's response is accessed through the message `parts` array. Each message contains an ordered array of `parts` that represents everything the model generated in its response. These parts can include plain text, reasoning tokens, and more that you will see later. The `parts` array preserves the sequence of the model's outputs, allowing you to display or process each component in the order it was generated.
 
@@ -279,7 +278,7 @@ export async function POST(req: Request) {
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => {
@@ -308,10 +307,10 @@ In this updated code:
 2. You define a `tools` object with a `weather` tool. This tool:
 
    - Has a description that helps the model understand when to use it.
-   - Defines parameters using a Zod schema, specifying that it requires a `location` string to execute this tool. The model will attempt to extract this parameter from the context of the conversation. If it can't, it will ask the user for the missing information.
+   - Defines `inputSchema` using a Zod schema, specifying that it requires a `location` string to execute this tool. The model will attempt to extract this input from the context of the conversation. If it can't, it will ask the user for the missing information.
    - Defines an `execute` function that simulates getting weather data (in this case, it returns a random temperature). This is an asynchronous function running on the server so you can fetch real data from an external API.
 
-   Now your chatbot can "fetch" weather information for any location the user asks about. When the model determines it needs to use the weather tool, it will generate a tool call with the necessary parameters. The `execute` function will then be automatically run, and you can access the results via `toolInvocations` that is available on the message object.
+Now your chatbot can "fetch" weather information for any location the user asks about. When the model determines it needs to use the weather tool, it will generate a tool call with the necessary input. The `execute` function will then be automatically run, and the tool output will be added to the `messages` as a `tool` message.
 
 <Note>
   You may need to restart your development server for the changes to take
@@ -320,29 +319,40 @@ In this updated code:
 
 Try asking something like "What's the weather in New York?" and see how the model uses the new tool.
 
-Notice the blank response in the UI? This is because instead of generating a text response, the model generated a tool call. You can access the tool call and subsequent tool result in the `toolInvocations` key of the message object.
+Notice the blank response in the UI? This is because instead of generating a text response, the model generated a tool call. You can access the tool call and subsequent tool result on the client via the `tool-weather` part of the `message.parts` array.
+
+<Note>
+  Tool parts are always named `tool-{toolName}`, where `{toolName}` is the key
+  you used when defining the tool. In this case, since we defined the tool as
+  `weather`, the part type is `tool-weather`.
+</Note>
 
 ### Update the UI
 
-To display the tool invocations in your UI, update your `app/(tabs)/index.tsx` file:
+To display the weather tool invocation in your UI, update your `app/(tabs)/index.tsx` file:
 
 ```tsx filename="app/(tabs)/index.tsx" highlight="31-35"
 import { generateAPIUrl } from '@/utils';
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
 import { fetch as expoFetch } from 'expo/fetch';
+import { useState } from 'react';
 import { View, TextInput, ScrollView, Text, SafeAreaView } from 'react-native';
 
 export default function App() {
-  const { messages, error, handleInputChange, input, handleSubmit } = useChat({
-    fetch: expoFetch as unknown as typeof globalThis.fetch,
-    api: generateAPIUrl('/api/chat'),
+  const [input, setInput] = useState('');
+  const { messages, error, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      fetch: expoFetch as unknown as typeof globalThis.fetch,
+      api: generateAPIUrl('/api/chat'),
+    }),
     onError: error => console.error(error, 'ERROR'),
   });
 
   if (error) return <Text>{error.message}</Text>;
 
   return (
-    <SafeAreaView style={{ height: '100vh' }}>
+    <SafeAreaView style={{ height: '100%' }}>
       <View
         style={{
           height: '95%',
@@ -356,16 +366,18 @@ export default function App() {
             <View key={m.id} style={{ marginVertical: 8 }}>
               <View>
                 <Text style={{ fontWeight: 700 }}>{m.role}</Text>
-                {m.toolInvocations ? (
-                  <Text>{JSON.stringify(m.toolInvocations, null, 2)}</Text>
-                ) : (
-                  m.parts.map((part, i) => {
-                    switch (part.type) {
-                      case 'text':
-                        return <Text key={`${m.id}-${i}`}>{part.text}</Text>;
-                    }
-                  })
-                )}
+                {m.parts.map((part, i) => {
+                  switch (part.type) {
+                    case 'text':
+                      return <Text key={`${m.id}-${i}`}>{part.text}</Text>;
+                    case 'tool-weather':
+                      return (
+                        <Text key={`${m.id}-${i}`}>
+                          {JSON.stringify(part, null, 2)}
+                        </Text>
+                      );
+                  }
+                })}
               </View>
             </View>
           ))}
@@ -376,18 +388,11 @@ export default function App() {
             style={{ backgroundColor: 'white', padding: 8 }}
             placeholder="Say something..."
             value={input}
-            onChange={e =>
-              handleInputChange({
-                ...e,
-                target: {
-                  ...e.target,
-                  value: e.nativeEvent.text,
-                },
-              } as unknown as React.ChangeEvent<HTMLInputElement>)
-            }
+            onChange={e => setInput(e.nativeEvent.text)}
             onSubmitEditing={e => {
-              handleSubmit(e);
               e.preventDefault();
+              sendMessage({ text: input });
+              setInput('');
             }}
             autoFocus={true}
           />
@@ -403,21 +408,21 @@ export default function App() {
   effect.
 </Note>
 
-With this change, you check each message for any tool calls (`toolInvocations`). These tool calls will be displayed as stringified JSON. Otherwise, you show the message content as before.
+With this change, you're updating the UI to handle different message parts. For text parts, you display the text content as before. For weather tool invocations, you display a JSON representation of the tool call and its result.
 
-Now, when you ask about the weather, you'll see the tool invocation and its result displayed in your chat interface.
+Now, when you ask about the weather, you'll see the tool call and its result displayed in your chat interface.
 
 ## Enabling Multi-Step Tool Calls
 
 You may have noticed that while the tool results are visible in the chat interface, the model isn't using this information to answer your original query. This is because once the model generates a tool call, it has technically completed its generation.
 
-To solve this, you can enable multi-step tool calls using `stopWhen` in your API route. This feature will automatically send tool results back to the model to trigger an additional generation until the stopping condition you define is met. In this case, you want the model to answer your question using the results from the weather tool.
+To solve this, you can enable multi-step tool calls using `stopWhen`. By default, `stopWhen` is set to `stepCountIs(1)`, which means generation stops after the first step when there are tool results. By changing this condition, you can allow the model to automatically send tool results back to itself to trigger additional generations until your specified stopping condition is met. In this case, you want the model to continue generating so it can use the weather tool results to answer your original question.
 
 ### Update Your API Route
 
-Modify your `app/api/chat+api.ts` file to include `stopWhen`:
+Modify your `app/api/chat+api.ts` file to include the `stopWhen` condition:
 
-```tsx filename="app/api/chat+api.ts" highlight="2,11"
+```tsx filename="app/api/chat+api.ts" highlight="11"
 import { openai } from '@ai-sdk/openai';
 import {
   streamText,
@@ -438,7 +443,7 @@ export async function POST(req: Request) {
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => {
@@ -466,7 +471,7 @@ export async function POST(req: Request) {
   effect.
 </Note>
 
-Head back to the browser and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
+Head back to the Expo app and ask about the weather in a location. You should now see the model using the weather tool results to answer your question.
 
 By setting `stopWhen: stepCountIs(5)`, you're allowing the model to use up to 5 "steps" for any given generation. This enables more complex interactions and allows the model to gather and process information over several steps if needed. You can see this in action by adding another tool to convert the temperature from Fahrenheit to Celsius.
 
@@ -495,7 +500,7 @@ export async function POST(req: Request) {
     tools: {
       weather: tool({
         description: 'Get the weather in a location (fahrenheit)',
-        parameters: z.object({
+        inputSchema: z.object({
           location: z.string().describe('The location to get the weather for'),
         }),
         execute: async ({ location }) => {
@@ -508,7 +513,7 @@ export async function POST(req: Request) {
       }),
       convertFahrenheitToCelsius: tool({
         description: 'Convert a temperature in fahrenheit to celsius',
-        parameters: z.object({
+        inputSchema: z.object({
           temperature: z
             .number()
             .describe('The temperature in fahrenheit to convert'),
@@ -537,6 +542,88 @@ export async function POST(req: Request) {
   effect.
 </Note>
 
+### Update the UI for the new tool
+
+To display the temperature conversion tool invocation in your UI, update your `app/(tabs)/index.tsx` file to handle the new tool part:
+
+```tsx filename="app/(tabs)/index.tsx" highlight="37-42"
+import { generateAPIUrl } from '@/utils';
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { fetch as expoFetch } from 'expo/fetch';
+import { useState } from 'react';
+import { View, TextInput, ScrollView, Text, SafeAreaView } from 'react-native';
+
+export default function App() {
+  const [input, setInput] = useState('');
+  const { messages, error, sendMessage } = useChat({
+    transport: new DefaultChatTransport({
+      fetch: expoFetch as unknown as typeof globalThis.fetch,
+      api: generateAPIUrl('/api/chat'),
+    }),
+    onError: error => console.error(error, 'ERROR'),
+  });
+
+  if (error) return <Text>{error.message}</Text>;
+
+  return (
+    <SafeAreaView style={{ height: '100%' }}>
+      <View
+        style={{
+          height: '95%',
+          display: 'flex',
+          flexDirection: 'column',
+          paddingHorizontal: 8,
+        }}
+      >
+        <ScrollView style={{ flex: 1 }}>
+          {messages.map(m => (
+            <View key={m.id} style={{ marginVertical: 8 }}>
+              <View>
+                <Text style={{ fontWeight: 700 }}>{m.role}</Text>
+                {m.parts.map((part, i) => {
+                  switch (part.type) {
+                    case 'text':
+                      return <Text key={`${m.id}-${i}`}>{part.text}</Text>;
+                    case 'tool-weather':
+                    case 'tool-convertFahrenheitToCelsius':
+                      return (
+                        <Text key={`${m.id}-${i}`}>
+                          {JSON.stringify(part, null, 2)}
+                        </Text>
+                      );
+                  }
+                })}
+              </View>
+            </View>
+          ))}
+        </ScrollView>
+
+        <View style={{ marginTop: 8 }}>
+          <TextInput
+            style={{ backgroundColor: 'white', padding: 8 }}
+            placeholder="Say something..."
+            value={input}
+            onChange={e => setInput(e.nativeEvent.text)}
+            onSubmitEditing={e => {
+              e.preventDefault();
+              sendMessage({ text: input });
+              setInput('');
+            }}
+            autoFocus={true}
+          />
+        </View>
+      </View>
+    </SafeAreaView>
+  );
+}
+```
+
+<Note>
+  You may need to restart your development server for the changes to take
+  effect.
+</Note>
+
 Now, when you ask "What's the weather in New York in celsius?", you should see a more complete interaction:
 
 1. The model will call the weather tool for New York.
diff --git a/content/docs/02-guides/02-multi-modal-chatbot.mdx b/content/docs/02-guides/02-multi-modal-chatbot.mdx
deleted file mode 100644
index 0124eac2ccdd..000000000000
--- a/content/docs/02-guides/02-multi-modal-chatbot.mdx
+++ /dev/null
@@ -1,441 +0,0 @@
----
-title: Multi-Modal Chatbot
-description: Learn how to build a multi-modal chatbot that can process images and PDFs with the AI SDK.
----
-
-# Multi-Modal Chatbot
-
-In this guide, you will build a multi-modal AI-chatbot capable of understanding both images and PDFs.
-
-Multi-modal refers to the ability of the chatbot to understand and generate responses in multiple formats, such as text, images, PDFs, and videos. In this example, we will focus on sending images and PDFs and generating text-based responses.
-
-Different AI providers have varying levels of multi-modal support, for example:
-
-- OpenAI (GPT-4o): Supports image input
-- Anthropic (Sonnet 3.5): Supports image and PDF input
-- Google (Gemini 2.0): Supports image and PDF input
-
-<Note>
-  For a complete list of providers that support both image and PDF inputs, visit
-  the [providers documentation](/providers/ai-sdk-providers).
-</Note>
-
-We'll first build a chatbot capable of generating responses based on an image input using OpenAI, then show how to switch providers to handle PDFs.
-
-## Prerequisites
-
-To follow this quickstart, you'll need:
-
-- Node.js 18+ and pnpm installed on your local development machine.
-- An OpenAI API key.
-- An Anthropic API Key.
-
-If you haven't obtained your OpenAI API key, you can do so by [signing up](https://platform.openai.com/signup/) on the OpenAI website.
-
-If you haven't obtained your Anthropic API key, you can do so by [signing up](https://console.anthropic.com/) on Anthropic's website.
-
-## Create Your Application
-
-Start by creating a new Next.js application. This command will create a new directory named `multi-modal-chatbot` and set up a basic Next.js application inside it.
-
-<div className="mb-4">
-  <Note>
-    Be sure to select yes when prompted to use the App Router. If you are
-    looking for the Next.js Pages Router quickstart guide, you can find it
-    [here](/docs/getting-started/nextjs-pages-router).
-  </Note>
-</div>
-
-<Snippet text="pnpm create next-app@latest multi-modal-chatbot" />
-
-Navigate to the newly created directory:
-
-<Snippet text="cd multi-modal-chatbot" />
-
-### Install dependencies
-
-Install `ai` and `@ai-sdk/openai`, the Vercel AI package and the AI SDK's [ OpenAI provider ](/providers/ai-sdk-providers/openai) respectively.
-
-<Note>
-  The AI SDK is designed to be a unified interface to interact with any large
-  language model. This means that you can change model and providers with just
-  one line of code! Learn more about [available providers](/providers) and
-  [building custom providers](/providers/community-providers/custom-providers)
-  in the [providers](/providers) section.
-</Note>
-<div className="my-4">
-  <Tabs items={['pnpm', 'npm', 'yarn']}>
-    <Tab>
-      <Snippet
-        text="pnpm add ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
-        dark
-      />
-    </Tab>
-    <Tab>
-      <Snippet
-        text="npm install ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
-        dark
-      />
-    </Tab>
-    <Tab>
-      <Snippet
-        text="yarn add ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta"
-        dark
-      />
-    </Tab>
-  </Tabs>
-</div>
-
-### Configure OpenAI API key
-
-Create a `.env.local` file in your project root and add your OpenAI API Key. This key is used to authenticate your application with the OpenAI service.
-
-<Snippet text="touch .env.local" />
-
-Edit the `.env.local` file:
-
-```env filename=".env.local"
-OPENAI_API_KEY=xxxxxxxxx
-```
-
-Replace `xxxxxxxxx` with your actual OpenAI API key.
-
-<Note className="mb-4">
-  The AI SDK's OpenAI Provider will default to using the `OPENAI_API_KEY`
-  environment variable.
-</Note>
-
-## Implementation Plan
-
-To build a multi-modal chatbot, you will need to:
-
-- Create a Route Handler to handle incoming chat messages and generate responses.
-- Wire up the UI to display chat messages, provide a user input, and handle submitting new messages.
-- Add the ability to upload images and attach them alongside the chat messages.
-
-## Create a Route Handler
-
-Create a route handler, `app/api/chat/route.ts` and add the following code:
-
-```tsx filename="app/api/chat/route.ts"
-import { openai } from '@ai-sdk/openai';
-import { streamText, convertToModelMessages, UIMessage } from 'ai';
-
-// Allow streaming responses up to 30 seconds
-export const maxDuration = 30;
-
-export async function POST(req: Request) {
-  const { messages }: { messages: UIMessage[] } = await req.json();
-
-  const result = streamText({
-    model: openai('gpt-4o'),
-    messages: convertToModelMessages(messages),
-  });
-
-  return result.toUIMessageStreamResponse();
-}
-```
-
-Let's take a look at what is happening in this code:
-
-1. Define an asynchronous `POST` request handler and extract `messages` from the body of the request. The `messages` variable contains a history of the conversation between you and the chatbot and provides the chatbot with the necessary context to make the next generation.
-2. Convert the UI messages to model messages using `convertToModelMessages`, which transforms the UI-focused message format to the format expected by the language model.
-3. Call [`streamText`](/docs/reference/ai-sdk-core/stream-text), which is imported from the `ai` package. This function accepts a configuration object that contains a `model` provider (imported from `@ai-sdk/openai`) and `messages` (converted in step 2). You can pass additional [settings](/docs/ai-sdk-core/settings) to further customise the model's behaviour.
-4. The `streamText` function returns a [`StreamTextResult`](/docs/reference/ai-sdk-core/stream-text#result-object). This result object contains the [ `toUIMessageStreamResponse` ](/docs/reference/ai-sdk-core/stream-text#to-ui-message-stream-response) function which converts the result to a streamed response object.
-5. Finally, return the result to the client to stream the response.
-
-This Route Handler creates a POST request endpoint at `/api/chat`.
-
-## Wire up the UI
-
-Now that you have a Route Handler that can query a large language model (LLM), it's time to setup your frontend. [ AI SDK UI ](/docs/ai-sdk-ui) abstracts the complexity of a chat interface into one hook, [`useChat`](/docs/reference/ai-sdk-ui/use-chat).
-
-Update your root page (`app/page.tsx`) with the following code to show a list of chat messages and provide a user message input:
-
-```tsx filename="app/page.tsx"
-'use client';
-
-import { useChat } from '@ai-sdk/react';
-
-export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
-  return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages.map(m => (
-        <div key={m.id} className="whitespace-pre-wrap">
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
-        </div>
-      ))}
-
-      <form
-        onSubmit={handleSubmit}
-        className="fixed bottom-0 w-full max-w-md mb-8 border border-gray-300 rounded shadow-xl"
-      >
-        <input
-          className="w-full p-2"
-          value={input}
-          placeholder="Say something..."
-          onChange={handleInputChange}
-        />
-      </form>
-    </div>
-  );
-}
-```
-
-<Note>
-  Make sure you add the `"use client"` directive to the top of your file. This
-  allows you to add interactivity with Javascript.
-</Note>
-
-This page utilizes the `useChat` hook, which will, by default, use the `POST` API route you created earlier (`/api/chat`). The hook provides functions and state for handling user input and form submission. The `useChat` hook provides multiple utility functions and state variables:
-
-- `messages` - the current chat messages (an array of objects with `id`, `role`, and `content` properties).
-- `input` - the current value of the user's input field.
-- `handleInputChange` and `handleSubmit` - functions to handle user interactions (typing into the input field and submitting the form, respectively).
-- `status` - the status of the API request.
-
-## Add Image Upload
-
-To make your chatbot multi-modal, let's add the ability to upload and send images to the model. There are two ways to send attachments alongside a message with the `useChat` hook: by providing a `FileList` object or a list of URLs to the `handleSubmit` function. In this guide, you will be using the `FileList` approach as it does not require any additional setup.
-
-Update your root page (`app/page.tsx`) with the following code:
-
-```tsx filename="app/page.tsx" highlight="4-5,10-11,19-33,39-49,51-61"
-'use client';
-
-import { useChat } from '@ai-sdk/react';
-import { useRef, useState } from 'react';
-import Image from 'next/image';
-
-export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
-
-  const [files, setFiles] = useState<FileList | undefined>(undefined);
-  const fileInputRef = useRef<HTMLInputElement>(null);
-
-  return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages.map(m => (
-        <div key={m.id} className="whitespace-pre-wrap">
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
-          <div>
-            {m?.attachments
-              ?.filter(attachment =>
-                attachment?.contentType?.startsWith('image/'),
-              )
-              .map((attachment, index) => (
-                <Image
-                  key={`${m.id}-${index}`}
-                  src={attachment.url}
-                  width={500}
-                  height={500}
-                  alt={attachment.name ?? `attachment-${index}`}
-                />
-              ))}
-          </div>
-        </div>
-      ))}
-
-      <form
-        className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl space-y-2"
-        onSubmit={event => {
-          handleSubmit(event, {
-            attachments: files,
-          });
-
-          setFiles(undefined);
-
-          if (fileInputRef.current) {
-            fileInputRef.current.value = '';
-          }
-        }}
-      >
-        <input
-          type="file"
-          className=""
-          onChange={event => {
-            if (event.target.files) {
-              setFiles(event.target.files);
-            }
-          }}
-          multiple
-          ref={fileInputRef}
-        />
-        <input
-          className="w-full p-2"
-          value={input}
-          placeholder="Say something..."
-          onChange={handleInputChange}
-        />
-      </form>
-    </div>
-  );
-}
-```
-
-In this code, you:
-
-1. Create state to hold the files and create a ref to the file input field.
-2. Display the "uploaded" files in the UI.
-3. Update the `onSubmit` function, to call the `handleSubmit` function manually, passing the files as an option using the `attachments` key.
-4. Add a file input field to the form, including an `onChange` handler to handle updating the files state.
-
-## Running Your Application
-
-With that, you have built everything you need for your multi-modal chatbot! To start your application, use the command:
-
-<Snippet text="pnpm run dev" />
-
-Head to your browser and open http://localhost:3000. You should see an input field and a button to upload an image.
-
-Upload an image and ask the model to describe what it sees. Watch as the model's response is streamed back to you!
-
-## Working with PDFs
-
-To enable PDF support, you can switch to a provider that handles PDFs like Google's Gemini or Anthropic's Claude. Here's how to modify the code to use Anthropic:
-
-1. First install the Anthropic provider:
-
-<Snippet text="pnpm add @ai-sdk/anthropic" />
-
-2. Update your environment variables:
-
-```env filename=".env.local" highlight="2"
-OPENAI_API_KEY=xxxxxxxxx
-ANTHROPIC_API_KEY=xxxxxxxxx
-```
-
-3. Modify your route handler:
-
-```tsx filename="app/api/chat/route.ts" highlight="2,10-15,18-21"
-import { openai } from '@ai-sdk/openai';
-import { anthropic } from '@ai-sdk/anthropic';
-import { streamText, convertToModelMessages, UIMessage } from 'ai';
-
-export const maxDuration = 30;
-
-export async function POST(req: Request) {
-  const { messages }: { messages: UIMessage[] } = await req.json();
-
-  // check if user has sent a PDF
-  const messagesHavePDF = messages.some(message =>
-    message.attachments?.some(a => a.contentType === 'application/pdf'),
-  );
-
-  const result = streamText({
-    model: messagesHavePDF
-      ? anthropic('claude-3-5-sonnet-latest')
-      : openai('gpt-4o'),
-    messages: convertToModelMessages(messages),
-  });
-
-  return result.toUIMessageStreamResponse();
-}
-```
-
-Now your chatbot can process both images and PDFs! You automatically route PDF requests to Claude Sonnet 3.5 and image requests to OpenAI's gpt-4o model.
-
-Finally, to display PDFs in your chat interface, update the message rendering code in your frontend to show PDF attachments in an `<iframe>`:
-
-```tsx filename="app/page.tsx" highlight="20-44"
-'use client';
-
-import { useChat } from '@ai-sdk/react';
-import { useRef, useState } from 'react';
-import Image from 'next/image';
-
-export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
-
-  const [files, setFiles] = useState<FileList | undefined>(undefined);
-  const fileInputRef = useRef<HTMLInputElement>(null);
-
-  return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages.map(m => (
-        <div key={m.id} className="whitespace-pre-wrap">
-          {m.role === 'user' ? 'User: ' : 'AI: '}
-          {m.content}
-          <div>
-            {m?.attachments
-              ?.filter(
-                attachment =>
-                  attachment?.contentType?.startsWith('image/') ||
-                  attachment?.contentType?.startsWith('application/pdf'),
-              )
-              .map((attachment, index) =>
-                attachment.contentType?.startsWith('image/') ? (
-                  <Image
-                    key={`${m.id}-${index}`}
-                    src={attachment.url}
-                    width={500}
-                    height={500}
-                    alt={attachment.name ?? `attachment-${index}`}
-                  />
-                ) : attachment.contentType?.startsWith('application/pdf') ? (
-                  <iframe
-                    key={`${m.id}-${index}`}
-                    src={attachment.url}
-                    width={500}
-                    height={600}
-                    title={attachment.name ?? `attachment-${index}`}
-                  />
-                ) : null,
-              )}
-          </div>
-        </div>
-      ))}
-
-      <form
-        className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl space-y-2"
-        onSubmit={event => {
-          handleSubmit(event, {
-            attachments: files,
-          });
-
-          setFiles(undefined);
-
-          if (fileInputRef.current) {
-            fileInputRef.current.value = '';
-          }
-        }}
-      >
-        <input
-          type="file"
-          className=""
-          onChange={event => {
-            if (event.target.files) {
-              setFiles(event.target.files);
-            }
-          }}
-          multiple
-          ref={fileInputRef}
-        />
-        <input
-          className="w-full p-2"
-          value={input}
-          placeholder="Say something..."
-          onChange={handleInputChange}
-        />
-      </form>
-    </div>
-  );
-}
-```
-
-Try uploading a PDF and asking questions about its contents.
-
-<Note>
-  When switching providers, be sure to check the [provider
-  documentation](/providers/ai-sdk-providers) for specific file size limits and
-  supported file types.
-</Note>
-
-## Where to Next?
-
-You've built a multi-modal AI chatbot using the AI SDK! Experiment and extend the functionality of this application further by exploring [tool calling](/docs/ai-sdk-core/tools-and-tool-calling) or introducing more granular control over [AI and UI states](/docs/ai-sdk-rsc/generative-ui-state).
-
-If you are looking to leverage the broader capabilities of LLMs, Vercel [AI SDK Core](/docs/ai-sdk-core) provides a comprehensive set of lower-level tools and APIs that will help you unlock a wider range of AI functionalities beyond the chatbot paradigm.
diff --git a/content/docs/03-ai-sdk-core/05-generating-text.mdx b/content/docs/03-ai-sdk-core/05-generating-text.mdx
index b9803fbe2a11..0bb9947b5237 100644
--- a/content/docs/03-ai-sdk-core/05-generating-text.mdx
+++ b/content/docs/03-ai-sdk-core/05-generating-text.mdx
@@ -44,11 +44,23 @@ const { text } = await generateText({
 
 The result object of `generateText` contains several promises that resolve when all required data is available:
 
+- `result.content`: The content that was generated in the last step.
 - `result.text`: The generated text.
-- `result.reasoning`: The reasoning text of the model (only available for some models).
-- `result.sources`: Sources that have been used as input to generate the response (only available for some models).
+- `result.reasoning`: The full reasoning that the model has generated in the last step.
+- `result.reasoningText`: The reasoning text of the model (only available for some models).
+- `result.files`: The files that were generated in the last step.
+- `result.sources`: Sources that have been used as references in the last step (only available for some models).
+- `result.toolCalls`: The tool calls that were made in the last step.
+- `result.toolResults`: The results of the tool calls from the last step.
 - `result.finishReason`: The reason the model finished generating text.
-- `result.usage`: The usage of the model during text generation.
+- `result.usage`: The usage of the model during the final step of text generation.
+- `result.totalUsage`: The total usage across all steps (for multi-step generations).
+- `result.warnings`: Warnings from the model provider (e.g. unsupported settings).
+- `result.request`: Additional request information.
+- `result.response`: Additional response information, including response messages and body.
+- `result.providerMetadata`: Additional provider-specific metadata.
+- `result.steps`: Details for all steps, useful for getting information about intermediate steps.
+- `result.experimental_output`: The generated structured output using the `experimental_output` specification.
 
 ### Accessing response headers & body
 
@@ -114,11 +126,22 @@ The result object contains several helper functions to make the integration into
 
 It also provides several promises that resolve when the stream is finished:
 
+- `result.content`: The content that was generated in the last step.
 - `result.text`: The generated text.
-- `result.reasoning`: The reasoning text of the model (only available for some models).
-- `result.sources`: Sources that have been used as input to generate the response (only available for some models).
+- `result.reasoning`: The full reasoning that the model has generated.
+- `result.reasoningText`: The reasoning text of the model (only available for some models).
+- `result.files`: Files that have been generated by the model in the last step.
+- `result.sources`: Sources that have been used as references in the last step (only available for some models).
+- `result.toolCalls`: The tool calls that have been executed in the last step.
+- `result.toolResults`: The tool results that have been generated in the last step.
 - `result.finishReason`: The reason the model finished generating text.
-- `result.usage`: The usage of the model during text generation.
+- `result.usage`: The usage of the model during the final step of text generation.
+- `result.totalUsage`: The total usage across all steps (for multi-step generations).
+- `result.warnings`: Warnings from the model provider (e.g. unsupported settings).
+- `result.steps`: Details for all steps, useful for getting information about intermediate steps.
+- `result.request`: Additional request information from the last step.
+- `result.response`: Additional response information from the last step.
+- `result.providerMetadata`: Additional provider-specific metadata from the last step.
 
 ### `onError` callback
 
@@ -149,9 +172,10 @@ It receives the following chunk types:
 - `reasoning`
 - `source`
 - `tool-call`
+- `tool-input-start`
+- `tool-input-delta`
 - `tool-result`
-- `tool-call-streaming-start` (when `toolCallStreaming` is enabled)
-- `tool-call-delta` (when `toolCallStreaming` is enabled)
+- `raw`
 
 ```tsx highlight="6-11"
 import { streamText } from 'ai';
@@ -173,7 +197,7 @@ const result = streamText({
 When using `streamText`, you can provide an `onFinish` callback that is triggered when the stream is finished (
 [API Reference](/docs/reference/ai-sdk-core/stream-text#on-finish)
 ).
-It contains the text, usage information, finish reason, messages, and more:
+It contains the text, usage information, finish reason, messages, steps, total usage, and more:
 
 ```tsx highlight="6-8"
 import { streamText } from 'ai';
@@ -181,7 +205,7 @@ import { streamText } from 'ai';
 const result = streamText({
   model: 'openai/gpt-4.1',
   prompt: 'Invent a new holiday and describe its traditions.',
-  onFinish({ text, finishReason, usage, response }) {
+  onFinish({ text, finishReason, usage, response, steps, totalUsage }) {
     // your own logic, e.g. for saving the chat history or recording usage
 
     const messages = response.messages; // messages that were generated
@@ -203,7 +227,7 @@ const result = streamText({
   model: 'openai/gpt-4.1',
   tools: {
     cityAttractions: {
-      parameters: z.object({ city: z.string() }),
+      inputSchema: z.object({ city: z.string() }),
       execute: async ({ city }) => ({
         attractions: ['attraction1', 'attraction2', 'attraction3'],
       }),
@@ -214,18 +238,46 @@ const result = streamText({
 
 for await (const part of result.fullStream) {
   switch (part.type) {
-    case 'text': {
+    case 'start': {
+      // handle start of stream
+      break;
+    }
+    case 'start-step': {
+      // handle start of step
+      break;
+    }
+    case 'text-start': {
+      // handle text start
+      break;
+    }
+    case 'text-delta': {
       // handle text delta here
       break;
     }
-    case 'reasoning': {
-      // handle reasoning here
+    case 'text-end': {
+      // handle text end
+      break;
+    }
+    case 'reasoning-start': {
+      // handle reasoning start
+      break;
+    }
+    case 'reasoning-delta': {
+      // handle reasoning delta here
+      break;
+    }
+    case 'reasoning-end': {
+      // handle reasoning end
       break;
     }
     case 'source': {
       // handle source here
       break;
     }
+    case 'file': {
+      // handle file here
+      break;
+    }
     case 'tool-call': {
       switch (part.toolName) {
         case 'cityAttractions': {
@@ -235,6 +287,18 @@ for await (const part of result.fullStream) {
       }
       break;
     }
+    case 'tool-input-start': {
+      // handle tool input start
+      break;
+    }
+    case 'tool-input-delta': {
+      // handle tool input delta
+      break;
+    }
+    case 'tool-input-end': {
+      // handle tool input end
+      break;
+    }
     case 'tool-result': {
       switch (part.toolName) {
         case 'cityAttractions': {
@@ -244,6 +308,14 @@ for await (const part of result.fullStream) {
       }
       break;
     }
+    case 'tool-error': {
+      // handle tool error
+      break;
+    }
+    case 'finish-step': {
+      // handle finish step
+      break;
+    }
     case 'finish': {
       // handle finish here
       break;
@@ -252,6 +324,10 @@ for await (const part of result.fullStream) {
       // handle error here
       break;
     }
+    case 'raw': {
+      // handle raw value
+      break;
+    }
   }
 }
 ```
@@ -330,9 +406,9 @@ const stopWordTransform =
           // stop the stream
           stopStream();
 
-          // simulate the step-finish event
+          // simulate the finish-step event
           controller.enqueue({
-            type: 'step-finish',
+            type: 'finish-step',
             finishReason: 'stop',
             logprobs: undefined,
             usage: {
@@ -406,7 +482,10 @@ When you use `generateText`, you can access the sources using the `sources` prop
 
 ```ts
 const result = await generateText({
-  model: google('gemini-2.0-flash-exp', { useSearchGrounding: true }),
+  model: google('gemini-2.5-flash'),
+  tools: {
+    google_search: google.tools.googleSearch({}),
+  },
   prompt: 'List the top 5 San Francisco news from the past week.',
 });
 
@@ -425,13 +504,11 @@ When you use `streamText`, you can access the sources using the `fullStream` pro
 
 ```tsx
 const result = streamText({
-  model: google('gemini-2.0-flash-exp'),
-  prompt: 'List the top 5 San Francisco news from the past week.',
-  providerOptions: {
-    google: {
-      useSearchGrounding: true,
-    },
+  model: google('gemini-2.5-flash'),
+  tools: {
+    google_search: google.tools.googleSearch({}),
   },
+  prompt: 'List the top 5 San Francisco news from the past week.',
 });
 
 for await (const part of result.fullStream) {
diff --git a/content/docs/03-ai-sdk-core/10-generating-structured-data.mdx b/content/docs/03-ai-sdk-core/10-generating-structured-data.mdx
index 7e64fc035a2f..0229a843ef2b 100644
--- a/content/docs/03-ai-sdk-core/10-generating-structured-data.mdx
+++ b/content/docs/03-ai-sdk-core/10-generating-structured-data.mdx
@@ -58,9 +58,9 @@ e.g. to access some provider-specific headers or body content.
 You can access the raw response headers and body using the `response` property:
 
 ```ts
-import { generateText } from 'ai';
+import { generateObject } from 'ai';
 
-const result = await generateText({
+const result = await generateObject({
   // ...
 });
 
diff --git a/content/docs/03-ai-sdk-core/15-tools-and-tool-calling.mdx b/content/docs/03-ai-sdk-core/15-tools-and-tool-calling.mdx
index 95eb5edb28b8..8b6f183ea3ec 100644
--- a/content/docs/03-ai-sdk-core/15-tools-and-tool-calling.mdx
+++ b/content/docs/03-ai-sdk-core/15-tools-and-tool-calling.mdx
@@ -1,6 +1,6 @@
 ---
 title: Tool Calling
-description: Learn about tool calling and multi-step calls (using maxSteps) with AI SDK Core.
+description: Learn about tool calling and multi-step calls (using stopWhen) with AI SDK Core.
 ---
 
 # Tool Calling
@@ -9,7 +9,7 @@ As covered under Foundations, [tools](/docs/foundations/tools) are objects that
 AI SDK Core tools contain three elements:
 
 - **`description`**: An optional description of the tool that can influence when the tool is picked.
-- **`parameters`**: A [Zod schema](/docs/foundations/tools#schemas) or a [JSON schema](/docs/reference/ai-sdk-core/json-schema) that defines the parameters. The schema is consumed by the LLM, and also used to validate the LLM tool calls.
+- **`inputSchema`**: A [Zod schema](/docs/foundations/tools#schemas) or a [JSON schema](/docs/reference/ai-sdk-core/json-schema) that defines the input parameters. The schema is consumed by the LLM, and also used to validate the LLM tool calls.
 - **`execute`**: An optional async function that is called with the arguments from the tool call. It produces a value of type `RESULT` (generic type). It is optional because you might want to forward tool calls to the client or to a queue instead of executing them in the same process.
 
 <Note className="mb-2">
@@ -24,11 +24,11 @@ import { z } from 'zod';
 import { generateText, tool } from 'ai';
 
 const result = await generateText({
-  model: 'openai/gpt-4.1',
+  model: 'openai/gpt-4o',
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -49,18 +49,16 @@ const result = await generateText({
 Tool calling is not restricted to only text generation.
 You can also use it to render user interfaces (Generative UI).
 
-## Multi-Step Calls (using maxSteps)
+## Multi-Step Calls (using stopWhen)
 
-With the `maxSteps` setting, you can enable multi-step calls in `generateText` and `streamText`. When `maxSteps` is set to a number greater than 1 and the model generates a tool call, the AI SDK will trigger a new generation passing in the tool result until there
-are no further tool calls or the maximum number of tool steps is reached.
+With the `stopWhen` setting, you can enable multi-step calls in `generateText` and `streamText`. When `stopWhen` is set and the model generates a tool call, the AI SDK will trigger a new generation passing in the tool result until there are no further tool calls or the stopping condition is met.
 
 <Note>
-  To decide what value to set for `maxSteps`, consider the most complex task the
-  call might handle and the number of sequential steps required for completion,
-  rather than just the number of available tools.
+  The `stopWhen` conditions are only evaluated when the last step contains tool
+  results.
 </Note>
 
-By default, when you use `generateText` or `streamText`, it triggers a single generation (`maxSteps: 1`). This works well for many use cases where you can rely on the model's training data to generate a response. However, when you provide tools, the model now has the choice to either generate a normal text response, or generate a tool call. If the model generates a tool call, it's generation is complete and that step is finished.
+By default, when you use `generateText` or `streamText`, it triggers a single generation. This works well for many use cases where you can rely on the model's training data to generate a response. However, when you provide tools, the model now has the choice to either generate a normal text response, or generate a tool call. If the model generates a tool call, it's generation is complete and that step is finished.
 
 You may want the model to generate text after the tool has been executed, either to summarize the tool results in the context of the users query. In many cases, you may also want the model to use multiple tools in a single response. This is where multi-step calls come in.
 
@@ -78,16 +76,16 @@ In the following example, there are two steps:
    1. The tool result is sent to the model.
    1. The model generates a response considering the tool result.
 
-```ts highlight="18"
+```ts highlight="18-19"
 import { z } from 'zod';
-import { generateText, tool } from 'ai';
+import { generateText, tool, stepCountIs } from 'ai';
 
 const { text, steps } = await generateText({
-  model: 'openai/gpt-4.1',
+  model: 'openai/gpt-4o',
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -96,7 +94,7 @@ const { text, steps } = await generateText({
       }),
     }),
   },
-  maxSteps: 5, // allow up to 5 steps
+  stopWhen: stepCountIs(5), // stop after 5 steps if tools were called
   prompt: 'What is the weather in San Francisco?',
 });
 ```
@@ -115,8 +113,8 @@ It contains all the text, tool calls, tool results, and more from each step.
 import { generateText } from 'ai';
 
 const { steps } = await generateText({
-  model: openai('gpt-4.1'),
-  maxSteps: 10,
+  model: openai('gpt-4o'),
+  stopWhen: stepCountIs(10),
   // ...
 });
 
@@ -142,30 +140,26 @@ const result = await generateText({
 });
 ```
 
-### `experimental_prepareStep` callback
-
-<Note type="warning">
-  The `experimental_prepareStep` callback is experimental and may change in the
-  future. It is only available in the `generateText` function.
-</Note>
+### `prepareStep` callback
 
-The `experimental_prepareStep` callback is called before a step is started.
+The `prepareStep` callback is called before a step is started.
 
 It is called with the following parameters:
 
 - `model`: The model that was passed into `generateText`.
-- `maxSteps`: The maximum number of steps that was passed into `generateText`.
+- `stopWhen`: The stopping condition that was passed into `generateText`.
 - `stepNumber`: The number of the step that is being executed.
 - `steps`: The steps that have been executed so far.
+- `messages`: The messages that will be sent to the model for the current step.
 
-You can use it to provide different settings for a step.
+You can use it to provide different settings for a step, including modifying the input messages.
 
 ```tsx highlight="5-7"
 import { generateText } from 'ai';
 
 const result = await generateText({
   // ...
-  experimental_prepareStep: async ({ model, stepNumber, steps }) => {
+  prepareStep: async ({ model, stepNumber, steps, messages }) => {
     if (stepNumber === 0) {
       return {
         // use a different model for this step:
@@ -182,6 +176,23 @@ const result = await generateText({
 });
 ```
 
+#### Message Modification for Longer Agentic Loops
+
+In longer agentic loops, you can use the `messages` parameter to modify the input messages for each step. This is particularly useful for prompt compression:
+
+```tsx
+prepareStep: async ({ stepNumber, steps, messages }) => {
+  // Compress conversation history for longer loops
+  if (messages.length > 20) {
+    return {
+      messages: messages.slice(-10),
+    };
+  }
+
+  return {};
+},
+```
+
 ## Response Messages
 
 Adding the generated assistant and tool messages to your conversation history is a common task,
@@ -194,7 +205,7 @@ It is also available in the `onFinish` callback of `streamText`.
 The `response.messages` property contains an array of `ModelMessage` objects that you can add to your conversation history:
 
 ```ts
-import { generateText } from 'ai';
+import { generateText, ModelMessage } from 'ai';
 
 const messages: ModelMessage[] = [
   // ...
@@ -224,11 +235,11 @@ import { z } from 'zod';
 import { generateText, tool } from 'ai';
 
 const result = await generateText({
-  model: 'openai/gpt-4.1',
+  model: 'openai/gpt-4o',
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({
+      inputSchema: z.object({
         location: z.string().describe('The location to get the weather for'),
       }),
       execute: async ({ location }) => ({
@@ -252,36 +263,45 @@ The ID of the tool call is forwarded to the tool execution.
 You can use it e.g. when sending tool-call related information with stream data.
 
 ```ts highlight="14-20"
-import { StreamData, streamText, tool } from 'ai';
+import {
+  streamText,
+  tool,
+  createUIMessageStream,
+  createUIMessageStreamResponse,
+} from 'ai';
 
 export async function POST(req: Request) {
   const { messages } = await req.json();
 
-  const data = new StreamData();
-
-  const result = streamText({
-    // ...
-    messages,
-    tools: {
-      myTool: tool({
+  const stream = createUIMessageStream({
+    execute: ({ writer }) => {
+      const result = streamText({
         // ...
-        execute: async (args, { toolCallId }) => {
-          // return e.g. custom status for tool call
-          data.appendMessageAnnotation({
-            type: 'tool-status',
-            toolCallId,
-            status: 'in-progress',
-          });
-          // ...
+        messages,
+        tools: {
+          myTool: tool({
+            // ...
+            execute: async (args, { toolCallId }) => {
+              // return e.g. custom status for tool call
+              writer.write({
+                type: 'data-tool-status',
+                id: toolCallId,
+                data: {
+                  name: 'myTool',
+                  status: 'in-progress',
+                },
+              });
+              // ...
+            },
+          }),
         },
-      }),
-    },
-    onFinish() {
-      data.close();
+      });
+
+      writer.merge(result.toUIMessageStream());
     },
   });
 
-  return result.toUIMessageStreamResponse({ data });
+  return createUIMessageStreamResponse({ stream });
 }
 ```
 
@@ -301,7 +321,7 @@ const result = await generateText({
       // ...
       execute: async (args, { messages }) => {
         // use the message history in e.g. calls to other language models
-        return something;
+        return { ... };
       },
     }),
   },
@@ -323,7 +343,7 @@ const result = await generateText({
   tools: {
     weather: tool({
       description: 'Get the weather in a location',
-      parameters: z.object({ location: z.string() }),
+      inputSchema: z.object({ location: z.string() }),
       execute: async ({ location }, { abortSignal }) => {
         return fetch(
           `https://api.weatherapi.com/v1/current.json?q=${location}`,
@@ -361,12 +381,12 @@ import { z } from 'zod';
 const myToolSet = {
   firstTool: tool({
     description: 'Greets the user',
-    parameters: z.object({ name: z.string() }),
+    inputSchema: z.object({ name: z.string() }),
     execute: async ({ name }) => `Hello, ${name}!`,
   }),
   secondTool: tool({
     description: 'Tells the user their age',
-    parameters: z.object({ age: z.number() }),
+    inputSchema: z.object({ age: z.number() }),
     execute: async ({ age }) => `You are ${age} years old!`,
   }),
 };
@@ -380,7 +400,7 @@ async function generateSomething(prompt: string): Promise<{
   toolResults: Array<MyToolResult>; // typed tool results
 }> {
   return generateText({
-    model: openai('gpt-4o'),
+    model: openai('gpt-4.1'),
     tools: myToolSet,
     prompt,
   });
@@ -392,7 +412,7 @@ async function generateSomething(prompt: string): Promise<{
 The AI SDK has three tool-call related errors:
 
 - [`NoSuchToolError`](/docs/reference/ai-sdk-errors/ai-no-such-tool-error): the model tries to call a tool that is not defined in the tools object
-- [`InvalidToolArgumentsError`](/docs/reference/ai-sdk-errors/ai-invalid-tool-arguments-error): the model calls a tool with arguments that do not match the tool's parameters
+- [`InvalidToolArgumentsError`](/docs/reference/ai-sdk-errors/ai-invalid-tool-arguments-error): the model calls a tool with arguments that do not match the tool's input schema
 - [`ToolExecutionError`](/docs/reference/ai-sdk-errors/ai-tool-execution-error): an error that occurred during tool execution
 - [`ToolCallRepairError`](/docs/reference/ai-sdk-errors/ai-tool-call-repair-error): an error that occurred during tool call repair
 
@@ -422,7 +442,7 @@ try {
 
 `streamText` sends the errors as part of the full stream. The error parts contain the error object.
 
-When using `toDataStreamResponse`, you can pass an `getErrorMessage` function to extract the error message from the error part and forward it as part of the data stream response:
+When using `toUIMessageStreamResponse`, you can pass an `onError` function to extract the error message from the error part and forward it as part of the stream response:
 
 ```ts
 const result = streamText({
@@ -430,7 +450,7 @@ const result = streamText({
 });
 
 return result.toUIMessageStreamResponse({
-  getErrorMessage: error => {
+  onError: error => {
     if (NoSuchToolError.isInstance(error)) {
       return 'The model tried to call a unknown tool.';
     } else if (InvalidToolArgumentsError.isInstance(error)) {
@@ -451,7 +471,7 @@ return result.toUIMessageStreamResponse({
 </Note>
 
 Language models sometimes fail to generate valid tool calls,
-especially when the parameters are complex or the model is smaller.
+especially when the input schema is complex or the model is smaller.
 
 You can use the `experimental_repairToolCall` function to attempt to repair the tool call
 with a custom function.
@@ -476,7 +496,7 @@ const result = await generateText({
   experimental_repairToolCall: async ({
     toolCall,
     tools,
-    parameterSchema,
+    inputSchema,
     error,
   }) => {
     if (NoSuchToolError.isInstance(error)) {
@@ -486,19 +506,19 @@ const result = await generateText({
     const tool = tools[toolCall.toolName as keyof typeof tools];
 
     const { object: repairedArgs } = await generateObject({
-      model: openai('gpt-4o'),
-      schema: tool.parameters,
+      model: openai('gpt-4.1'),
+      schema: tool.inputSchema,
       prompt: [
         `The model tried to call the tool "${toolCall.toolName}"` +
           ` with the following arguments:`,
-        JSON.stringify(toolCall.args),
+        JSON.stringify(toolCall.input),
         `The tool accepts the following schema:`,
-        JSON.stringify(parameterSchema(toolCall)),
+        JSON.stringify(inputSchema(toolCall)),
         'Please fix the arguments.',
       ].join('\n'),
     });
 
-    return { ...toolCall, args: JSON.stringify(repairedArgs) };
+    return { ...toolCall, input: JSON.stringify(repairedArgs) };
   },
 });
 ```
@@ -533,7 +553,7 @@ const result = await generateText({
               type: 'tool-call',
               toolCallId: toolCall.toolCallId,
               toolName: toolCall.toolName,
-              args: toolCall.args,
+              input: toolCall.input,
             },
           ],
         },
@@ -544,7 +564,7 @@ const result = await generateText({
               type: 'tool-result',
               toolCallId: toolCall.toolCallId,
               toolName: toolCall.toolName,
-              result: error.message,
+              output: error.message,
             },
           ],
         },
@@ -561,7 +581,7 @@ const result = await generateText({
           toolCallType: 'function' as const,
           toolCallId: toolCall.toolCallId,
           toolName: toolCall.toolName,
-          args: JSON.stringify(newToolCall.args),
+          input: JSON.stringify(newToolCall.input),
         }
       : null;
   },
@@ -570,10 +590,6 @@ const result = await generateText({
 
 ## Active Tools
 
-<Note type="warning">
-  The `activeTools` property is experimental and may change in the future.
-</Note>
-
 Language models can only handle a limited number of tools at a time, depending on the model.
 To allow for static typing using a large number of tools and limiting the available tools to the model at the same time,
 the AI SDK provides the `activeTools` property.
@@ -586,7 +602,7 @@ import { openai } from '@ai-sdk/openai';
 import { generateText } from 'ai';
 
 const { text } = await generateText({
-  model: openai('gpt-4o'),
+  model: openai('gpt-4.1'),
   tools: myToolSet,
   activeTools: ['firstTool'],
 });
@@ -601,7 +617,7 @@ const { text } = await generateText({
 In order to send multi-modal tool results, e.g. screenshots, back to the model,
 they need to be converted into a specific format.
 
-AI SDK Core tools have an optional `experimental_toToolResultContent` function
+AI SDK Core tools have an optional `toModelOutput` function
 that converts the tool result into a content part.
 
 Here is an example for converting a screenshot into a content part:
@@ -629,10 +645,14 @@ const result = await generateText({
       },
 
       // map to tool result content for LLM consumption:
-      experimental_toToolResultContent(result) {
-        return typeof result === 'string'
-          ? [{ type: 'text', text: result }]
-          : [{ type: 'image', data: result.data, mediaType: 'image/png' }];
+      toModelOutput(result) {
+        return {
+          type: 'content',
+          value:
+            typeof result === 'string'
+              ? [{ type: 'text', text: result }]
+              : [{ type: 'image', data: result.data, mediaType: 'image/png' }],
+        };
       },
     }),
   },
@@ -654,7 +674,7 @@ import { z } from 'zod';
 // the `tool` helper function ensures correct type inference:
 export const weatherTool = tool({
   description: 'Get the weather in a location',
-  parameters: z.object({
+  inputSchema: z.object({
     location: z.string().describe('The location to get the weather for'),
   }),
   execute: async ({ location }) => ({
@@ -760,7 +780,7 @@ const mcpClient = await experimental_createMCPClient({
 const tools = await mcpClient.tools();
 
 const result = await streamText({
-  model: openai('gpt-4o'),
+  model: openai('gpt-4.1'),
   tools,
   prompt: 'What is the weather in Brooklyn, New York?',
   onFinish: async () => {
@@ -817,14 +837,14 @@ import { z } from 'zod';
 const tools = await mcpClient.tools({
   schemas: {
     'get-data': {
-      parameters: z.object({
+      inputSchema: z.object({
         query: z.string().describe('The data query'),
         format: z.enum(['json', 'text']).optional(),
       }),
     },
     // For tools with zero arguments, you should use an empty object:
     'tool-with-no-args': {
-      parameters: z.object({}),
+      inputSchema: z.object({}),
     },
   },
 });
diff --git a/content/docs/03-ai-sdk-core/25-settings.mdx b/content/docs/03-ai-sdk-core/25-settings.mdx
index 4d42ff483cf5..5a224381c4d6 100644
--- a/content/docs/03-ai-sdk-core/25-settings.mdx
+++ b/content/docs/03-ai-sdk-core/25-settings.mdx
@@ -39,6 +39,8 @@ For most providers, `0` means almost deterministic results, and higher values me
 
 It is recommended to set either `temperature` or `topP`, but not both.
 
+<Note>In AI SDK 5.0, temperature is no longer set to `0` by default.</Note>
+
 ### `topP`
 
 Nucleus sampling.
diff --git a/content/docs/03-ai-sdk-core/30-embeddings.mdx b/content/docs/03-ai-sdk-core/30-embeddings.mdx
index 2b2105881e48..941ba751b7e4 100644
--- a/content/docs/03-ai-sdk-core/30-embeddings.mdx
+++ b/content/docs/03-ai-sdk-core/30-embeddings.mdx
@@ -12,7 +12,7 @@ In this space, similar words are close to each other, and the distance between w
 
 The AI SDK provides the [`embed`](/docs/reference/ai-sdk-core/embed) function to embed single values, which is useful for tasks such as finding similar words
 or phrases or clustering text.
-You can use it with embeddings models, e.g. `openai.embedding('text-embedding-3-large')` or `mistral.embedding('mistral-embed')`.
+You can use it with embeddings models, e.g. `openai.textEmbeddingModel('text-embedding-3-large')` or `mistral.textEmbeddingModel('mistral-embed')`.
 
 ```tsx
 import { embed } from 'ai';
@@ -20,7 +20,7 @@ import { openai } from '@ai-sdk/openai';
 
 // 'embedding' is a single embedding object (number[])
 const { embedding } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
 });
 ```
@@ -32,7 +32,7 @@ it is often useful to embed many values at once (batch embedding).
 
 The AI SDK provides the [`embedMany`](/docs/reference/ai-sdk-core/embed-many) function for this purpose.
 Similar to `embed`, you can use it with embeddings models,
-e.g. `openai.embedding('text-embedding-3-large')` or `mistral.embedding('mistral-embed')`.
+e.g. `openai.textEmbeddingModel('text-embedding-3-large')` or `mistral.textEmbeddingModel('mistral-embed')`.
 
 ```tsx
 import { openai } from '@ai-sdk/openai';
@@ -41,7 +41,7 @@ import { embedMany } from 'ai';
 // 'embeddings' is an array of embedding objects (number[][]).
 // It is sorted in the same order as the input values.
 const { embeddings } = await embedMany({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   values: [
     'sunny day at the beach',
     'rainy afternoon in the city',
@@ -61,7 +61,7 @@ import { openai } from '@ai-sdk/openai';
 import { cosineSimilarity, embedMany } from 'ai';
 
 const { embeddings } = await embedMany({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   values: ['sunny day at the beach', 'rainy afternoon in the city'],
 });
 
@@ -80,7 +80,7 @@ import { openai } from '@ai-sdk/openai';
 import { embed } from 'ai';
 
 const { embedding, usage } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
 });
 
@@ -89,6 +89,44 @@ console.log(usage); // { tokens: 10 }
 
 ## Settings
 
+### Provider Options
+
+Embedding model settings can be configured using `providerOptions` for provider-specific parameters:
+
+```ts highlight={"5-9"}
+import { openai } from '@ai-sdk/openai';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
+  value: 'sunny day at the beach',
+  providerOptions: {
+    openai: {
+      dimensions: 512, // Reduce embedding dimensions
+    },
+  },
+});
+```
+
+### Parallel Requests
+
+The `embedMany` function now supports parallel processing with configurable `maxParallelCalls` to optimize performance:
+
+```ts highlight={"4"}
+import { openai } from '@ai-sdk/openai';
+import { embedMany } from 'ai';
+
+const { embeddings, usage } = await embedMany({
+  maxParallelCalls: 2, // Limit parallel requests
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
+  values: [
+    'sunny day at the beach',
+    'rainy afternoon in the city',
+    'snowy night in the mountains',
+  ],
+});
+```
+
 ### Retries
 
 Both `embed` and `embedMany` accept an optional `maxRetries` parameter of type `number`
@@ -100,7 +138,7 @@ import { openai } from '@ai-sdk/openai';
 import { embed } from 'ai';
 
 const { embedding } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
   maxRetries: 0, // Disable retries
 });
@@ -117,7 +155,7 @@ import { openai } from '@ai-sdk/openai';
 import { embed } from 'ai';
 
 const { embedding } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
   abortSignal: AbortSignal.timeout(1000), // Abort after 1 second
 });
@@ -133,12 +171,28 @@ import { openai } from '@ai-sdk/openai';
 import { embed } from 'ai';
 
 const { embedding } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
   headers: { 'X-Custom-Header': 'custom-value' },
 });
 ```
 
+## Response Information
+
+Both `embed` and `embedMany` return response information that includes the raw provider response:
+
+```ts highlight={"4,9"}
+import { openai } from '@ai-sdk/openai';
+import { embed } from 'ai';
+
+const { embedding, response } = await embed({
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
+  value: 'sunny day at the beach',
+});
+
+console.log(response); // Raw provider response
+```
+
 ## Embedding Providers & Models
 
 Several providers offer embedding models:
@@ -157,5 +211,5 @@ Several providers offer embedding models:
 | [Cohere](/providers/ai-sdk-providers/cohere#embedding-models)                             | `embed-english-v2.0`            | 4096                 |
 | [Cohere](/providers/ai-sdk-providers/cohere#embedding-models)                             | `embed-english-light-v2.0`      | 1024                 |
 | [Cohere](/providers/ai-sdk-providers/cohere#embedding-models)                             | `embed-multilingual-v2.0`       | 768                  |
-| [Amazon Bedrock](/providers/ai-sdk-providers/amazon-bedrock#embedding-models)             | `amazon.titan-embed-text-v1`    | 1024                 |
+| [Amazon Bedrock](/providers/ai-sdk-providers/amazon-bedrock#embedding-models)             | `amazon.titan-embed-text-v1`    | 1536                 |
 | [Amazon Bedrock](/providers/ai-sdk-providers/amazon-bedrock#embedding-models)             | `amazon.titan-embed-text-v2:0`  | 1024                 |
diff --git a/content/docs/03-ai-sdk-core/35-image-generation.mdx b/content/docs/03-ai-sdk-core/35-image-generation.mdx
index 8bc109d9c155..aa2afdff494b 100644
--- a/content/docs/03-ai-sdk-core/35-image-generation.mdx
+++ b/content/docs/03-ai-sdk-core/35-image-generation.mdx
@@ -163,7 +163,7 @@ import { experimental_generateImage as generateImage } from 'ai';
 
 const { image } = await generateImage({
   model: openai.image('dall-e-3'),
-  value: 'sunny day at the beach',
+  prompt: 'Santa Claus driving a Cadillac',
   headers: { 'X-Custom-Header': 'custom-value' },
 });
 ```
@@ -186,12 +186,12 @@ Some providers expose additional meta data for the result overall or per image.
 ```tsx
 const prompt = 'Santa Claus driving a Cadillac';
 
-const { image, providerMetaData } = await generateImage({
+const { image, providerMetadata } = await generateImage({
   model: openai.image('dall-e-3'),
   prompt,
 });
 
-const revisedPrompt = providerMetaData.openai.images[0]?.revisedPrompt;
+const revisedPrompt = providerMetadata.openai.images[0]?.revisedPrompt;
 
 console.log({
   prompt,
@@ -199,7 +199,7 @@ console.log({
 });
 ```
 
-The outer key of the returned `providerMetaData` is the provider name. The inner values are the metadata. An `images` key is always present in the metadata and is an array with the same length as the top level `images` key.
+The outer key of the returned `providerMetadata` is the provider name. The inner values are the metadata. An `images` key is always present in the metadata and is an array with the same length as the top level `images` key.
 
 ### Error Handling
 
@@ -283,6 +283,7 @@ for (const file of result.files) {
 | [DeepInfra](/providers/ai-sdk-providers/deepinfra#image-models)           | `stabilityai/sdxl-turbo`                                     | 1:1, 16:9, 1:9, 3:2, 2:3, 4:5, 5:4, 9:16, 9:21                                                                                                                      |
 | [Replicate](/providers/ai-sdk-providers/replicate)                        | `black-forest-labs/flux-schnell`                             | 1:1, 2:3, 3:2, 4:5, 5:4, 16:9, 9:16, 9:21, 21:9                                                                                                                     |
 | [Replicate](/providers/ai-sdk-providers/replicate)                        | `recraft-ai/recraft-v3`                                      | 1024x1024, 1365x1024, 1024x1365, 1536x1024, 1024x1536, 1820x1024, 1024x1820, 1024x2048, 2048x1024, 1434x1024, 1024x1434, 1024x1280, 1280x1024, 1024x1707, 1707x1024 |
+| [Google](/providers/ai-sdk-providers/google#image-models)                 | `imagen-3.0-generate-002`                                    | 1:1, 3:4, 4:3, 9:16, 16:9                                                                                                                                           |
 | [Google Vertex](/providers/ai-sdk-providers/google-vertex#image-models)   | `imagen-3.0-generate-002`                                    | 1:1, 3:4, 4:3, 9:16, 16:9                                                                                                                                           |
 | [Google Vertex](/providers/ai-sdk-providers/google-vertex#image-models)   | `imagen-3.0-fast-generate-001`                               | 1:1, 3:4, 4:3, 9:16, 16:9                                                                                                                                           |
 | [Fireworks](/providers/ai-sdk-providers/fireworks#image-models)           | `accounts/fireworks/models/flux-1-dev-fp8`                   | 1:1, 2:3, 3:2, 4:5, 5:4, 16:9, 9:16, 9:21, 21:9                                                                                                                     |
diff --git a/content/docs/03-ai-sdk-core/40-middleware.mdx b/content/docs/03-ai-sdk-core/40-middleware.mdx
index 390c4b01faff..da151e795b3a 100644
--- a/content/docs/03-ai-sdk-core/40-middleware.mdx
+++ b/content/docs/03-ai-sdk-core/40-middleware.mdx
@@ -182,7 +182,10 @@ Here are some examples of how to implement language model middleware:
 This example shows how to log the parameters and generated text of a language model call.
 
 ```ts
-import type { LanguageModelV2Middleware, LanguageModelV2StreamPart } from 'ai';
+import type {
+  LanguageModelV2Middleware,
+  LanguageModelV2StreamPart,
+} from '@ai-sdk/provider';
 
 export const yourLogMiddleware: LanguageModelV2Middleware = {
   wrapGenerate: async ({ doGenerate, params }) => {
@@ -204,14 +207,31 @@ export const yourLogMiddleware: LanguageModelV2Middleware = {
     const { stream, ...rest } = await doStream();
 
     let generatedText = '';
+    const textBlocks = new Map<string, string>();
 
     const transformStream = new TransformStream<
       LanguageModelV2StreamPart,
       LanguageModelV2StreamPart
     >({
       transform(chunk, controller) {
-        if (chunk.type === 'text') {
-          generatedText += chunk.text;
+        switch (chunk.type) {
+          case 'text-start': {
+            textBlocks.set(chunk.id, '');
+            break;
+          }
+          case 'text-delta': {
+            const existing = textBlocks.get(chunk.id) || '';
+            textBlocks.set(chunk.id, existing + chunk.delta);
+            generatedText += chunk.delta;
+            break;
+          }
+          case 'text-end': {
+            console.log(
+              `Text block ${chunk.id} completed:`,
+              textBlocks.get(chunk.id),
+            );
+            break;
+          }
         }
 
         controller.enqueue(chunk);
@@ -236,7 +256,7 @@ export const yourLogMiddleware: LanguageModelV2Middleware = {
 This example shows how to build a simple cache for the generated text of a language model call.
 
 ```ts
-import type { LanguageModelV2Middleware } from 'ai';
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider';
 
 const cache = new Map<string, any>();
 
@@ -270,7 +290,7 @@ This example shows how to use RAG as middleware.
 </Note>
 
 ```ts
-import type { LanguageModelV2Middleware } from 'ai';
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider';
 
 export const yourRagMiddleware: LanguageModelV2Middleware = {
   transformParams: async ({ params }) => {
@@ -299,7 +319,7 @@ Guard rails are a way to ensure that the generated text of a language model call
 is safe and appropriate. This example shows how to use guardrails as middleware.
 
 ```ts
-import type { LanguageModelV2Middleware } from 'ai';
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider';
 
 export const yourGuardrailMiddleware: LanguageModelV2Middleware = {
   wrapGenerate: async ({ doGenerate }) => {
@@ -323,7 +343,8 @@ To send and access custom metadata in Middleware, you can use `providerOptions`.
 
 ```ts
 import { openai } from '@ai-sdk/openai';
-import { generateText, wrapLanguageModel, LanguageModelV2Middleware } from 'ai';
+import { generateText, wrapLanguageModel } from 'ai';
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider';
 
 export const yourLogMiddleware: LanguageModelV2Middleware = {
   wrapGenerate: async ({ doGenerate, params }) => {
diff --git a/content/docs/03-ai-sdk-core/45-provider-management.mdx b/content/docs/03-ai-sdk-core/45-provider-management.mdx
index 678822a15b25..2225a32e30e8 100644
--- a/content/docs/03-ai-sdk-core/45-provider-management.mdx
+++ b/content/docs/03-ai-sdk-core/45-provider-management.mdx
@@ -28,7 +28,11 @@ with pre-configured settings.
 
 ```ts
 import { openai as originalOpenAI } from '@ai-sdk/openai';
-import { customProvider } from 'ai';
+import {
+  customProvider,
+  defaultSettingsMiddleware,
+  wrapLanguageModel,
+} from 'ai';
 
 // custom provider with different provider options:
 export const openai = customProvider({
@@ -90,7 +94,11 @@ You can limit the available models in the system, even if you have multiple prov
 ```ts
 import { anthropic } from '@ai-sdk/anthropic';
 import { openai } from '@ai-sdk/openai';
-import { customProvider } from 'ai';
+import {
+  customProvider,
+  defaultSettingsMiddleware,
+  wrapLanguageModel,
+} from 'ai';
 
 export const myProvider = customProvider({
   languageModels: {
@@ -109,7 +117,7 @@ export const myProvider = customProvider({
       }),
     }),
     'reasoning-fast': wrapLanguageModel({
-      model: originalOpenAI('gpt-4o-mini'),
+      model: openai('gpt-4o-mini'),
       middleware: defaultSettingsMiddleware({
         settings: {
           providerOptions: {
@@ -122,7 +130,7 @@ export const myProvider = customProvider({
     }),
   },
   embeddingModels: {
-    emdedding: openai.textEmbeddingModel('text-embedding-3-small'),
+    embedding: openai.textEmbeddingModel('text-embedding-3-small'),
   },
   // no fallback provider
 });
@@ -269,7 +277,7 @@ export const registry = createProviderRegistry(
           middleware: defaultSettingsMiddleware({
             settings: {
               maxOutputTokens: 100000, // example default setting
-              providerMetadata: {
+              providerOptions: {
                 anthropic: {
                   thinking: {
                     type: 'enabled',
diff --git a/content/docs/03-ai-sdk-core/50-error-handling.mdx b/content/docs/03-ai-sdk-core/50-error-handling.mdx
index 49f92337bc57..6fb0cc3cb8c0 100644
--- a/content/docs/03-ai-sdk-core/50-error-handling.mdx
+++ b/content/docs/03-ai-sdk-core/50-error-handling.mdx
@@ -54,7 +54,7 @@ You can handle those parts similar to other parts.
 It is recommended to also add a try-catch block for errors that
 happen outside of the streaming.
 
-```ts highlight="13-17"
+```ts highlight="13-21"
 import { generateText } from 'ai';
 
 try {
@@ -72,9 +72,73 @@ try {
         // handle error
         break;
       }
+
+      case 'abort': {
+        // handle stream abort
+        break;
+      }
+
+      case 'tool-error': {
+        const error = part.error;
+        // handle error
+        break;
+      }
     }
   }
 } catch (error) {
   // handle error
 }
 ```
+
+## Handling stream aborts
+
+When streams are aborted (e.g., via chat stop button), you may want to perform cleanup operations like updating stored messages in your UI. Use the `onAbort` callback to handle these cases.
+
+The `onAbort` callback is called when a stream is aborted via `AbortSignal`, but `onFinish` is not called. This ensures you can still update your UI state appropriately.
+
+```ts highlight="5-9"
+import { streamText } from 'ai';
+
+const { textStream } = streamText({
+  model: 'openai/gpt-4.1',
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+  onAbort: ({ steps }) => {
+    // Update stored messages or perform cleanup
+    console.log('Stream aborted after', steps.length, 'steps');
+  },
+  onFinish: ({ steps, totalUsage }) => {
+    // This is called on normal completion
+    console.log('Stream completed normally');
+  },
+});
+
+for await (const textPart of textStream) {
+  process.stdout.write(textPart);
+}
+```
+
+The `onAbort` callback receives:
+
+- `steps`: An array of all completed steps before the abort
+
+You can also handle abort events directly in the stream:
+
+```ts highlight="10-13"
+import { streamText } from 'ai';
+
+const { fullStream } = streamText({
+  model: 'openai/gpt-4.1',
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+
+for await (const chunk of fullStream) {
+  switch (chunk.type) {
+    case 'abort': {
+      // Handle abort directly in stream
+      console.log('Stream was aborted');
+      break;
+    }
+    // ... handle other part types
+  }
+}
+```
diff --git a/content/docs/03-ai-sdk-core/55-testing.mdx b/content/docs/03-ai-sdk-core/55-testing.mdx
index 2ba090d3f917..2be962fa7be5 100644
--- a/content/docs/03-ai-sdk-core/55-testing.mdx
+++ b/content/docs/03-ai-sdk-core/55-testing.mdx
@@ -35,8 +35,9 @@ const result = await generateText({
   model: new MockLanguageModelV2({
     doGenerate: async () => ({
       finishReason: 'stop',
-      usage: { inputTokens: 10, outputTokens: 20 },
-      text: `Hello, world!`,
+      usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
+      content: [{ type: 'text', text: `Hello, world!` }],
+      warnings: [],
     }),
   }),
   prompt: 'Hello, test!',
@@ -54,14 +55,16 @@ const result = streamText({
     doStream: async () => ({
       stream: simulateReadableStream({
         chunks: [
-          { type: 'text', text: 'Hello' },
-          { type: 'text', text: ', ' },
-          { type: 'text', text: `world!` },
+          { type: 'text-start', id: 'text-1' },
+          { type: 'text-delta', id: 'text-1', delta: 'Hello' },
+          { type: 'text-delta', id: 'text-1', delta: ', ' },
+          { type: 'text-delta', id: 'text-1', delta: 'world!' },
+          { type: 'text-end', id: 'text-1' },
           {
             type: 'finish',
             finishReason: 'stop',
             logprobs: undefined,
-            usage: { inputTokens: 3, outputTokens: 10 },
+            usage: { inputTokens: 3, outputTokens: 10, totalTokens: 13 },
           },
         ],
       }),
@@ -82,8 +85,9 @@ const result = await generateObject({
   model: new MockLanguageModelV2({
     doGenerate: async () => ({
       finishReason: 'stop',
-      usage: { inputTokens: 10, outputTokens: 20 },
-      text: `{"content":"Hello, world!"}`,
+      usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
+      content: [{ type: 'text', text: `{"content":"Hello, world!"}` }],
+      warnings: [],
     }),
   }),
   schema: z.object({ content: z.string() }),
@@ -103,17 +107,19 @@ const result = streamObject({
     doStream: async () => ({
       stream: simulateReadableStream({
         chunks: [
-          { type: 'text', text: '{ ' },
-          { type: 'text', text: '"content": ' },
-          { type: 'text', text: `"Hello, ` },
-          { type: 'text', text: `world` },
-          { type: 'text', text: `!"` },
-          { type: 'text', text: ' }' },
+          { type: 'text-start', id: 'text-1' },
+          { type: 'text-delta', id: 'text-1', delta: '{ ' },
+          { type: 'text-delta', id: 'text-1', delta: '"content": ' },
+          { type: 'text-delta', id: 'text-1', delta: `"Hello, ` },
+          { type: 'text-delta', id: 'text-1', delta: `world` },
+          { type: 'text-delta', id: 'text-1', delta: `!"` },
+          { type: 'text-delta', id: 'text-1', delta: ' }' },
+          { type: 'text-end', id: 'text-1' },
           {
             type: 'finish',
             finishReason: 'stop',
             logprobs: undefined,
-            usage: { inputTokens: 3, outputTokens: 10 },
+            usage: { inputTokens: 3, outputTokens: 10, totalTokens: 13 },
           },
         ],
       }),
@@ -124,9 +130,9 @@ const result = streamObject({
 });
 ```
 
-### Simulate Data Stream Protocol Responses
+### Simulate UI Message Stream Responses
 
-You can also simulate [Data Stream Protocol](/docs/ai-sdk-ui/stream-protocol#data-stream-protocol) responses for testing,
+You can also simulate [UI Message Stream](/docs/ai-sdk-ui/stream-protocol#ui-message-stream) responses for testing,
 debugging, or demonstration purposes.
 
 Here is a Next example:
@@ -140,18 +146,23 @@ export async function POST(req: Request) {
       initialDelayInMs: 1000, // Delay before the first chunk
       chunkDelayInMs: 300, // Delay between chunks
       chunks: [
-        `0:"This"\n`,
-        `0:" is an"\n`,
-        `0:"example."\n`,
-        `e:{"finishReason":"stop","usage":{"promptTokens":20,"completionTokens":50},"isContinued":false}\n`,
-        `d:{"finishReason":"stop","usage":{"promptTokens":20,"completionTokens":50}}\n`,
+        `data: {"type":"start","messageId":"msg-123"}\n\n`,
+        `data: {"type":"text-start","id":"text-1"}\n\n`,
+        `data: {"type":"text-delta","id":"text-1","delta":"This"}\n\n`,
+        `data: {"type":"text-delta","id":"text-1","delta":" is an"}\n\n`,
+        `data: {"type":"text-delta","id":"text-1","delta":" example."}\n\n`,
+        `data: {"type":"text-end","id":"text-1"}\n\n`,
+        `data: {"type":"finish"}\n\n`,
+        `data: [DONE]\n\n`,
       ],
     }).pipeThrough(new TextEncoderStream()),
     {
       status: 200,
       headers: {
-        'X-Vercel-AI-Data-Stream': 'v2',
-        'Content-Type': 'text/plain; charset=utf-8',
+        'Content-Type': 'text/event-stream',
+        'Cache-Control': 'no-cache',
+        Connection: 'keep-alive',
+        'x-vercel-ai-ui-message-stream': 'v1',
       },
     },
   );
diff --git a/content/docs/03-ai-sdk-core/60-telemetry.mdx b/content/docs/03-ai-sdk-core/60-telemetry.mdx
index be2ac5fa4df6..4be4000c7235 100644
--- a/content/docs/03-ai-sdk-core/60-telemetry.mdx
+++ b/content/docs/03-ai-sdk-core/60-telemetry.mdx
@@ -88,7 +88,7 @@ const result = await generateText({
   - `ai.response.text`: the text that was generated
   - `ai.response.toolCalls`: the tool calls that were made as part of the generation (stringified JSON)
   - `ai.response.finishReason`: the reason why the generation finished
-  - `ai.settings.maxSteps`: the maximum number of steps that were set
+  - `ai.settings.maxOutputTokens`: the maximum number of output tokens that were set
 
 - `ai.generateText.doGenerate` (span): a provider doGenerate call. It can contain `ai.toolCall` spans.
   It contains the [call LLM span information](#call-llm-span-information) and the following attributes:
@@ -97,8 +97,8 @@ const result = await generateText({
   - `ai.operationId`: `"ai.generateText.doGenerate"`
   - `ai.prompt.messages`: the messages that were passed into the provider
   - `ai.prompt.tools`: array of stringified tool definitions. The tools can be of type `function` or `provider-defined-client`.
-    Function tools have a `name`, `description` (optional), and `parameters` (JSON schema).
-    Provider-defined-client tools have a `name`, `id`, and `args` (Record).
+    Function tools have a `name`, `description` (optional), and `inputSchema` (JSON schema).
+    Provider-defined-client tools have a `name`, `id`, and `input` (Record).
   - `ai.prompt.toolChoice`: the stringified tool choice setting (JSON). It has a `type` property
     (`auto`, `none`, `required`, `tool`), and if the type is `tool`, a `toolName` property with the specific tool.
   - `ai.response.text`: the text that was generated
@@ -120,7 +120,7 @@ const result = await generateText({
   - `ai.response.text`: the text that was generated
   - `ai.response.toolCalls`: the tool calls that were made as part of the generation (stringified JSON)
   - `ai.response.finishReason`: the reason why the generation finished
-  - `ai.settings.maxSteps`: the maximum number of steps that were set
+  - `ai.settings.maxOutputTokens`: the maximum number of output tokens that were set
 
 - `ai.streamText.doStream` (span): a provider doStream call.
   This span contains an `ai.stream.firstChunk` event and `ai.toolCall` spans.
@@ -130,8 +130,8 @@ const result = await generateText({
   - `ai.operationId`: `"ai.streamText.doStream"`
   - `ai.prompt.messages`: the messages that were passed into the provider
   - `ai.prompt.tools`: array of stringified tool definitions. The tools can be of type `function` or `provider-defined-client`.
-    Function tools have a `name`, `description` (optional), and `parameters` (JSON schema).
-    Provider-defined-client tools have a `name`, `id`, and `args` (Record).
+    Function tools have a `name`, `description` (optional), and `inputSchema` (JSON schema).
+    Provider-defined-client tools have a `name`, `id`, and `input` (Record).
   - `ai.prompt.toolChoice`: the stringified tool choice setting (JSON). It has a `type` property
     (`auto`, `none`, `required`, `tool`), and if the type is `tool`, a `toolName` property with the specific tool.
   - `ai.response.text`: the text that was generated
@@ -257,6 +257,7 @@ Many spans that use LLMs (`ai.generateText`, `ai.generateText.doGenerate`, `ai.s
 - `ai.model.id`: the id of the model
 - `ai.model.provider`: the provider of the model
 - `ai.request.headers.*`: the request headers that were passed in through `headers`
+- `ai.response.providerMetadata`: provider specific metadata returned with the generation response
 - `ai.settings.maxRetries`: the maximum number of retries that were set
 - `ai.telemetry.functionId`: the functionId that was set through `telemetry.functionId`
 - `ai.telemetry.metadata.*`: the metadata that was passed in through `telemetry.metadata`
@@ -308,5 +309,5 @@ Tool call spans (`ai.toolCall`) contain the following attributes:
 - `ai.operationId`: `"ai.toolCall"`
 - `ai.toolCall.name`: the name of the tool
 - `ai.toolCall.id`: the id of the tool call
-- `ai.toolCall.args`: the parameters of the tool call
-- `ai.toolCall.result`: the result of the tool call. Only available if the tool call is successful and the result is serializable.
+- `ai.toolCall.input`: the input parameters of the tool call
+- `ai.toolCall.output`: the output result of the tool call. Only available if the tool call is successful and the result is serializable.
diff --git a/content/docs/04-ai-sdk-ui/01-overview.mdx b/content/docs/04-ai-sdk-ui/01-overview.mdx
index 790b23633041..3331a84b6714 100644
--- a/content/docs/04-ai-sdk-ui/01-overview.mdx
+++ b/content/docs/04-ai-sdk-ui/01-overview.mdx
@@ -17,20 +17,29 @@ These hooks are designed to reduce the complexity and time required to implement
 
 ## UI Framework Support
 
-AI SDK UI supports the following frameworks: [React](https://react.dev/), [Svelte](https://svelte.dev/), and [Vue.js](https://vuejs.org/).
+AI SDK UI supports the following frameworks: [React](https://react.dev/), [Svelte](https://svelte.dev/), [Vue.js](https://vuejs.org/), and [Angular](https://angular.dev/).
 Here is a comparison of the supported functions across these frameworks:
 
-| Function                                                  | React               | Svelte                               | Vue.js              |
-| --------------------------------------------------------- | ------------------- | ------------------------------------ | ------------------- |
-| [useChat](/docs/reference/ai-sdk-ui/use-chat)             | <Check size={18} /> | <Check size={18} /> Chat             | <Check size={18} /> |
-| [useCompletion](/docs/reference/ai-sdk-ui/use-completion) | <Check size={18} /> | <Check size={18} /> Completion       | <Check size={18} /> |
-| [useObject](/docs/reference/ai-sdk-ui/use-object)         | <Check size={18} /> | <Check size={18} /> StructuredObject | <Cross size={18} /> |
+| Function                                                  | React               | Svelte                               | Vue.js              | Angular                              |
+| --------------------------------------------------------- | ------------------- | ------------------------------------ | ------------------- | ------------------------------------ |
+| [useChat](/docs/reference/ai-sdk-ui/use-chat)             | <Check size={18} /> | <Check size={18} /> Chat             | <Check size={18} /> | <Check size={18} /> Chat             |
+| [useCompletion](/docs/reference/ai-sdk-ui/use-completion) | <Check size={18} /> | <Check size={18} /> Completion       | <Check size={18} /> | <Check size={18} /> Completion       |
+| [useObject](/docs/reference/ai-sdk-ui/use-object)         | <Check size={18} /> | <Check size={18} /> StructuredObject | <Cross size={18} /> | <Check size={18} /> StructuredObject |
 
 <Note>
   [Contributions](https://github.com/vercel/ai/blob/main/CONTRIBUTING.md) are
   welcome to implement missing features for non-React frameworks.
 </Note>
 
+## Framework Examples
+
+Explore these example implementations for different frameworks:
+
+- [**Next.js**](https://github.com/vercel/ai/tree/main/examples/next-openai)
+- [**Nuxt**](https://github.com/vercel/ai/tree/main/examples/nuxt-openai)
+- [**SvelteKit**](https://github.com/vercel/ai/tree/main/examples/sveltekit-openai)
+- [**Angular**](https://github.com/vercel/ai/tree/main/examples/angular)
+
 ## API Reference
 
 Please check out the [AI SDK UI API Reference](/docs/reference/ai-sdk-ui) for more details on each function.
diff --git a/content/docs/04-ai-sdk-ui/02-chatbot.mdx b/content/docs/04-ai-sdk-ui/02-chatbot.mdx
index 610b566988c6..70143aaa33f7 100644
--- a/content/docs/04-ai-sdk-ui/02-chatbot.mdx
+++ b/content/docs/04-ai-sdk-ui/02-chatbot.mdx
@@ -23,9 +23,16 @@ Let's start with the following example first.
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat({});
+  const { messages, sendMessage, status } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+  const [input, setInput] = useState('');
 
   return (
     <>
@@ -38,9 +45,24 @@ export default function Page() {
         </div>
       ))}
 
-      <form onSubmit={handleSubmit}>
-        <input name="prompt" value={input} onChange={handleInputChange} />
-        <button type="submit">Submit</button>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
+        <input
+          value={input}
+          onChange={e => setInput(e.target.value)}
+          disabled={status !== 'ready'}
+          placeholder="Say something..."
+        />
+        <button type="submit" disabled={status !== 'ready'}>
+          Submit
+        </button>
       </form>
     </>
   );
@@ -75,7 +97,7 @@ export async function POST(req: Request) {
   and complex chat UIs.
 </Note>
 
-In the `Page` component, the `useChat` hook will request to your AI provider endpoint whenever the user submits a message.
+In the `Page` component, the `useChat` hook will request to your AI provider endpoint whenever the user sends a message using `sendMessage`.
 The messages are then streamed back in real-time and displayed in the chat UI.
 
 This enables a seamless chat experience where the user can see the AI response as soon as it is available,
@@ -83,7 +105,7 @@ without having to wait for the entire response to be received.
 
 ## Customized UI
 
-`useChat` also provides ways to manage the chat message and input states via code, show status, and update messages without being triggered by user interactions.
+`useChat` also provides ways to manage the chat message states via code, show status, and update messages without being triggered by user interactions.
 
 ### Status
 
@@ -100,14 +122,20 @@ You can use `status` for e.g. the following purposes:
 - To show a "Stop" button to abort the current message.
 - To disable the submit button.
 
-```tsx filename='app/page.tsx' highlight="6,20-27,34"
+```tsx filename='app/page.tsx' highlight="6,22-29,36"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit, status, stop } =
-    useChat({});
+  const { messages, sendMessage, status, stop } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+  const [input, setInput] = useState('');
 
   return (
     <>
@@ -129,14 +157,24 @@ export default function Page() {
         </div>
       )}
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
         <input
-          name="prompt"
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           disabled={status !== 'ready'}
+          placeholder="Say something..."
         />
-        <button type="submit">Submit</button>
+        <button type="submit" disabled={status !== 'ready'}>
+          Submit
+        </button>
       </form>
     </>
   );
@@ -154,14 +192,20 @@ It can be used to display an error message, disable the submit button, or show a
   server.
 </Note>
 
-```tsx file="app/page.tsx" highlight="6,18-25,31"
+```tsx file="app/page.tsx" highlight="6,20-27,33"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, error, reload } =
-    useChat({});
+  const { messages, sendMessage, error, reload } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+  const [input, setInput] = useState('');
 
   return (
     <div>
@@ -183,10 +227,18 @@ export default function Chat() {
         </>
       )}
 
-      <form onSubmit={handleSubmit}>
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
         <input
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           disabled={error != null}
         />
       </form>
@@ -204,7 +256,7 @@ Sometimes, you may want to directly modify some existing messages. For example,
 The `setMessages` function can help you achieve these tasks:
 
 ```tsx
-const { messages, setMessages, ... } = useChat()
+const { messages, setMessages } = useChat()
 
 const handleDelete = (id) => {
   setMessages(messages.filter(message => message.id !== id))
@@ -227,33 +279,12 @@ return <>
 
 You can think of `messages` and `setMessages` as a pair of `state` and `setState` in React.
 
-### Controlled input
-
-In the initial example, we have `handleSubmit` and `handleInputChange` callbacks that manage the input changes and form submissions. These are handy for common use cases, but you can also use uncontrolled APIs for more advanced scenarios such as form validation or customized components.
-
-The following example demonstrates how to use more granular APIs like `setInput` and `append` with your custom input and submit button components:
-
-```tsx
-const { input, setInput, append } = useChat()
-
-return <>
-  <MyCustomInput value={input} onChange={value => setInput(value)} />
-  <MySubmitButton onClick={() => {
-    // Send a new message to the AI provider
-    append({
-      role: 'user',
-      parts: [{ type: 'text', text: input }],
-    })
-  }}/>
-  ...
-```
-
 ### Cancellation and regeneration
 
 It's also a common use case to abort the response message while it's still streaming back from the AI provider. You can do this by calling the `stop` function returned by the `useChat` hook.
 
 ```tsx
-const { stop, status, ... } = useChat()
+const { stop, status } = useChat()
 
 return <>
   <button onClick={stop} disabled={!(status === 'streaming' || status === 'submitted')}>Stop</button>
@@ -262,15 +293,22 @@ return <>
 
 When the user clicks the "Stop" button, the fetch request will be aborted. This avoids consuming unnecessary resources and improves the UX of your chatbot application.
 
-Similarly, you can also request the AI provider to reprocess the last message by calling the `reload` function returned by the `useChat` hook:
+Similarly, you can also request the AI provider to reprocess the last message by calling the `regenerate` function returned by the `useChat` hook:
 
 ```tsx
-const { reload, status, ... } = useChat()
-
-return <>
-  <button onClick={reload} disabled={!(status === 'ready' || status === 'error')}>Regenerate</button>
-  ...
-</>
+const { regenerate, status } = useChat();
+
+return (
+  <>
+    <button
+      onClick={regenerate}
+      disabled={!(status === 'ready' || status === 'error')}
+    >
+      Regenerate
+    </button>
+    ...
+  </>
+);
 ```
 
 When the user clicks the "Regenerate" button, the AI provider will regenerate the last message and replace the current one correspondingly.
@@ -295,7 +333,7 @@ const { messages, ... } = useChat({
 
 - `onFinish`: Called when the assistant message is completed
 - `onError`: Called when an error occurs during the fetch request.
-- `onResponse`: Called when the response from the API is received.
+- `onData`: Called whenever a data part is received.
 
 These callbacks can be used to trigger additional actions, such as logging, analytics, or custom UI updates.
 
@@ -313,47 +351,119 @@ const {
   onError: error => {
     console.error('An error occurred:', error);
   },
-  onResponse: response => {
-    console.log('Received HTTP response from server:', response);
+  onData: data => {
+    console.log('Received data part from server:', data);
   },
 });
 ```
 
-It's worth noting that you can abort the processing by throwing an error in the `onResponse` callback. This will trigger the `onError` callback and stop the message from being appended to the chat UI. This can be useful for handling unexpected responses from the AI provider.
+It's worth noting that you can abort the processing by throwing an error in the `onData` callback. This will trigger the `onError` callback and stop the message from being appended to the chat UI. This can be useful for handling unexpected responses from the AI provider.
 
 ## Request Configuration
 
 ### Custom headers, body, and credentials
 
-By default, the `useChat` hook sends a HTTP POST request to the `/api/chat` endpoint with the message list as the request body. You can customize the request by passing additional options to the `useChat` hook:
+By default, the `useChat` hook sends a HTTP POST request to the `/api/chat` endpoint with the message list as the request body. You can customize the request in two ways:
+
+#### Hook-Level Configuration (Applied to all requests)
+
+You can configure transport-level options that will be applied to all requests made by the hook:
 
 ```tsx
-const { messages, input, handleInputChange, handleSubmit } = useChat({
-  api: '/api/custom-chat',
-  headers: {
-    Authorization: 'your_token',
-  },
-  body: {
-    user_id: '123',
-  },
-  credentials: 'same-origin',
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/custom-chat',
+    headers: {
+      Authorization: 'your_token',
+    },
+    body: {
+      user_id: '123',
+    },
+    credentials: 'same-origin',
+  }),
 });
 ```
 
-In this example, the `useChat` hook sends a POST request to the `/api/custom-chat` endpoint with the specified headers, additional body fields, and credentials for that fetch request. On your server side, you can handle the request with these additional information.
+#### Dynamic Hook-Level Configuration
+
+You can also provide functions that return configuration values. This is useful for authentication tokens that need to be refreshed, or for configuration that depends on runtime conditions:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/custom-chat',
+    headers: () => ({
+      Authorization: `Bearer ${getAuthToken()}`,
+      'X-User-ID': getCurrentUserId(),
+    }),
+    body: () => ({
+      sessionId: getCurrentSessionId(),
+      preferences: getUserPreferences(),
+    }),
+    credentials: () => 'include',
+  }),
+});
+```
+
+<Note>
+  For component state that changes over time, use `useRef` to store the current
+  value and reference `ref.current` in your configuration function, or prefer
+  request-level options (see next section) for better reliability.
+</Note>
+
+#### Request-Level Configuration (Recommended)
+
+<Note>
+  **Recommended**: Use request-level options for better flexibility and control.
+  Request-level options take precedence over hook-level options and allow you to
+  customize each request individually.
+</Note>
+
+```tsx
+// Pass options as the second parameter to sendMessage
+sendMessage(
+  { text: input },
+  {
+    headers: {
+      Authorization: 'Bearer token123',
+      'X-Custom-Header': 'custom-value',
+    },
+    body: {
+      temperature: 0.7,
+      max_tokens: 100,
+      user_id: '123',
+    },
+    metadata: {
+      userId: 'user123',
+      sessionId: 'session456',
+    },
+  },
+);
+```
+
+The request-level options are merged with hook-level options, with request-level options taking precedence. On your server side, you can handle the request with this additional information.
 
 ### Setting custom body fields per request
 
-You can configure custom `body` fields on a per-request basis using the `body` option of the `handleSubmit` function.
+You can configure custom `body` fields on a per-request basis using the second parameter of the `sendMessage` function.
 This is useful if you want to pass in additional information to your backend that is not part of the message list.
 
-```tsx filename="app/page.tsx" highlight="18-20"
+```tsx filename="app/page.tsx" highlight="20-25"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const { messages, sendMessage } = useChat();
+  const [input, setInput] = useState('');
+
   return (
     <div>
       {messages.map(m => (
@@ -367,14 +477,21 @@ export default function Chat() {
 
       <form
         onSubmit={event => {
-          handleSubmit(event, {
-            body: {
-              customKey: 'customValue',
-            },
-          });
+          event.preventDefault();
+          if (input.trim()) {
+            sendMessage(
+              { text: input },
+              {
+                body: {
+                  customKey: 'customValue',
+                },
+              },
+            );
+            setInput('');
+          }
         }}
       >
-        <input value={input} onChange={handleInputChange} />
+        <input value={input} onChange={e => setInput(e.target.value)} />
       </form>
     </div>
   );
@@ -385,13 +502,177 @@ You can retrieve these custom fields on your server side by destructuring the re
 
 ```ts filename="app/api/chat/route.ts" highlight="3,4"
 export async function POST(req: Request) {
-  // Extract addition information ("customKey") from the body of the request:
+  // Extract additional information ("customKey") from the body of the request:
   const { messages, customKey }: { messages: UIMessage[]; customKey: string } =
     await req.json();
   //...
 }
 ```
 
+## Message Metadata
+
+You can attach custom metadata to messages for tracking information like timestamps, model details, and token usage.
+
+```ts
+// Server: Send metadata about the message
+return result.toUIMessageStreamResponse({
+  messageMetadata: ({ part }) => {
+    if (part.type === 'start') {
+      return {
+        createdAt: Date.now(),
+        model: 'gpt-4o',
+      };
+    }
+
+    if (part.type === 'finish') {
+      return {
+        totalTokens: part.totalUsage.totalTokens,
+      };
+    }
+  },
+});
+```
+
+```tsx
+// Client: Access metadata via message.metadata
+{
+  messages.map(message => (
+    <div key={message.id}>
+      {message.role}:{' '}
+      {message.metadata?.createdAt &&
+        new Date(message.metadata.createdAt).toLocaleTimeString()}
+      {/* Render message content */}
+      {message.parts.map((part, index) =>
+        part.type === 'text' ? <span key={index}>{part.text}</span> : null,
+      )}
+      {/* Show token count if available */}
+      {message.metadata?.totalTokens && (
+        <span>{message.metadata.totalTokens} tokens</span>
+      )}
+    </div>
+  ));
+}
+```
+
+For complete examples with type safety and advanced use cases, see the [Message Metadata documentation](/docs/ai-sdk-ui/message-metadata).
+
+## Transport Configuration
+
+You can configure custom transport behavior using the `transport` option to customize how messages are sent to your API:
+
+```tsx filename="app/page.tsx"
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+export default function Chat() {
+  const { messages, sendMessage } = useChat({
+    id: 'my-chat',
+    transport: new DefaultChatTransport({
+      prepareSendMessagesRequest: ({ id, messages }) => {
+        return {
+          body: {
+            id,
+            message: messages[messages.length - 1],
+          },
+        };
+      },
+    }),
+  });
+
+  // ... rest of your component
+}
+```
+
+The corresponding API route receives the custom request format:
+
+```ts filename="app/api/chat/route.ts"
+export async function POST(req: Request) {
+  const { id, message } = await req.json();
+
+  // Load existing messages and add the new one
+  const messages = await loadMessages(id);
+  messages.push(message);
+
+  const result = streamText({
+    model: openai('gpt-4.1'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+```
+
+### Advanced: Trigger-based routing
+
+For more complex scenarios like message regeneration, you can use trigger-based routing:
+
+```tsx filename="app/page.tsx"
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+export default function Chat() {
+  const { messages, sendMessage, regenerate } = useChat({
+    id: 'my-chat',
+    transport: new DefaultChatTransport({
+      prepareSendMessagesRequest: ({ id, messages, trigger, messageId }) => {
+        if (trigger === 'submit-user-message') {
+          return {
+            body: {
+              trigger: 'submit-user-message',
+              id,
+              message: messages[messages.length - 1],
+              messageId,
+            },
+          };
+        } else if (trigger === 'regenerate-assistant-message') {
+          return {
+            body: {
+              trigger: 'regenerate-assistant-message',
+              id,
+              messageId,
+            },
+          };
+        }
+        throw new Error(`Unsupported trigger: ${trigger}`);
+      },
+    }),
+  });
+
+  // ... rest of your component
+}
+```
+
+The corresponding API route would handle different triggers:
+
+```ts filename="app/api/chat/route.ts"
+export async function POST(req: Request) {
+  const { trigger, id, message, messageId } = await req.json();
+
+  const chat = await readChat(id);
+  let messages = chat.messages;
+
+  if (trigger === 'submit-user-message') {
+    // Handle new user message
+    messages = [...messages, message];
+  } else if (trigger === 'regenerate-assistant-message') {
+    // Handle message regeneration - remove messages after messageId
+    const messageIndex = messages.findIndex(m => m.id === messageId);
+    if (messageIndex !== -1) {
+      messages = messages.slice(0, messageIndex);
+    }
+  }
+
+  const result = streamText({
+    model: openai('gpt-4.1'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+```
+
+To learn more about building custom transports, refer to the [Transport API documentation](/docs/ai-sdk-ui/transport).
+
 ## Controlling the response stream
 
 With `streamText`, you can control how error messages and usage information are sent back to the client.
@@ -410,12 +691,12 @@ export async function POST(req: Request) {
   const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
-    model: openai('gpt-4o'),
+    model: openai('gpt-4.1'),
     messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse({
-    getErrorMessage: error => {
+    onError: error => {
       if (error == null) {
         return 'unknown error';
       }
@@ -446,7 +727,7 @@ export async function POST(req: Request) {
   const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
-    model: openai('gpt-4o'),
+    model: openai('gpt-4.1'),
     messages: convertToModelMessages(messages),
   });
 
@@ -464,10 +745,13 @@ export async function POST(req: Request) {
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { TextStreamChatTransport } from 'ai';
 
 export default function Chat() {
   const { messages } = useChat({
-    streamProtocol: 'text',
+    transport: new TextStreamChatTransport({
+      api: '/api/chat',
+    }),
   });
 
   return <>...</>;
@@ -478,43 +762,10 @@ This configuration also works with other backend servers that stream plain text.
 Check out the [stream protocol guide](/docs/ai-sdk-ui/stream-protocol) for more information.
 
 <Note>
-  When using `streamProtocol: 'text'`, tool calls, usage information and finish
+  When using `TextStreamChatTransport`, tool calls, usage information and finish
   reasons are not available.
 </Note>
 
-## Empty Submissions
-
-You can configure the `useChat` hook to allow empty submissions by setting the `allowEmptySubmit` option to `true`.
-
-```tsx filename="app/page.tsx" highlight="18"
-'use client';
-
-import { useChat } from '@ai-sdk/react';
-
-export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
-  return (
-    <div>
-      {messages.map(m => (
-        <div key={m.id}>
-          {m.role}: {m.content}
-        </div>
-      ))}
-
-      <form
-        onSubmit={event => {
-          handleSubmit(event, {
-            allowEmptySubmit: true,
-          });
-        }}
-      >
-        <input value={input} onChange={handleInputChange} />
-      </form>
-    </div>
-  );
-}
-```
-
 ## Reasoning
 
 Some models such as as DeepSeek `deepseek-reasoner`
@@ -542,8 +793,7 @@ export async function POST(req: Request) {
 
 On the client side, you can access the reasoning parts of the message object.
 
-They have a `details` property that contains the reasoning and redacted reasoning parts.
-You can also use `reasoning` to access just the reasoning as a string.
+Reasoning parts have a `text` property that contains the reasoning content.
 
 ```tsx filename="app/page.tsx"
 messages.map(message => (
@@ -557,13 +807,7 @@ messages.map(message => (
 
       // reasoning parts:
       if (part.type === 'reasoning') {
-        return (
-          <pre key={index}>
-            {part.details.map(detail =>
-              detail.type === 'text' ? detail.text : '<redacted>',
-            )}
-          </pre>
-        );
+        return <pre key={index}>{part.text}</pre>;
       }
     })}
   </div>
@@ -597,30 +841,35 @@ export async function POST(req: Request) {
 ```
 
 On the client side, you can access source parts of the message object.
-Here is an example that renders the sources as links at the bottom of the message:
+There are two types of sources: `source-url` for web pages and `source-document` for documents.
+Here is an example that renders both types of sources:
 
 ```tsx filename="app/page.tsx"
 messages.map(message => (
   <div key={message.id}>
     {message.role === 'user' ? 'User: ' : 'AI: '}
+
+    {/* Render URL sources */}
     {message.parts
-      .filter(part => part.type !== 'source')
-      .map((part, index) => {
-        if (part.type === 'text') {
-          return <div key={index}>{part.text}</div>;
-        }
-      })}
-    {message.parts
-      .filter(part => part.type === 'source')
+      .filter(part => part.type === 'source-url')
       .map(part => (
-        <span key={`source-${part.source.id}`}>
+        <span key={`source-${part.id}`}>
           [
-          <a href={part.source.url} target="_blank">
-            {part.source.title ?? new URL(part.source.url).hostname}
+          <a href={part.url} target="_blank">
+            {part.title ?? new URL(part.url).hostname}
           </a>
           ]
         </span>
       ))}
+
+    {/* Render document sources */}
+    {message.parts
+      .filter(part => part.type === 'source-document')
+      .map(part => (
+        <span key={`source-${part.id}`}>
+          [<span>{part.title ?? `Document ${part.id}`}</span>]
+        </span>
+      ))}
   </div>
 ));
 ```
@@ -640,20 +889,18 @@ messages.map(message => (
       if (part.type === 'text') {
         return <div key={index}>{part.text}</div>;
       } else if (part.type === 'file' && part.mediaType.startsWith('image/')) {
-        return (
-          <img key={index} src={`data:${part.mediaType};base64,${part.data}`} />
-        );
+        return <img key={index} src={part.url} alt="Generated image" />;
       }
     })}
   </div>
 ));
 ```
 
-## Attachments (Experimental)
+## Attachments
 
-The `useChat` hook supports sending attachments along with a message as well as rendering them on the client. This can be useful for building applications that involve sending images, files, or other media content to the AI provider.
+The `useChat` hook supports sending file attachments along with a message as well as rendering them on the client. This can be useful for building applications that involve sending images, files, or other media content to the AI provider.
 
-There are two ways to send attachments with a message, either by providing a `FileList` object or a list of URLs to the `handleSubmit` function:
+There are two ways to send files with a message: using a `FileList` object from file inputs or using an array of file objects.
 
 ### FileList
 
@@ -673,9 +920,9 @@ import { useChat } from '@ai-sdk/react';
 import { useRef, useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleSubmit, handleInputChange, status } =
-    useChat();
+  const { messages, sendMessage, status } = useChat();
 
+  const [input, setInput] = useState('');
   const [files, setFiles] = useState<FileList | undefined>(undefined);
   const fileInputRef = useRef<HTMLInputElement>(null);
 
@@ -687,25 +934,20 @@ export default function Page() {
             <div>{`${message.role}: `}</div>
 
             <div>
-              {message.parts.map((part, index) =>
-                part.type === 'text' ? (
-                  <span key={index}>{part.text}</span>
-                ) : null,
-              )}
-
-              <div>
-                {message.experimental_attachments
-                  ?.filter(attachment =>
-                    attachment.contentType.startsWith('image/'),
-                  )
-                  .map((attachment, index) => (
-                    <img
-                      key={`${message.id}-${index}`}
-                      src={attachment.url}
-                      alt={attachment.name}
-                    />
-                  ))}
-              </div>
+              {message.parts.map((part, index) => {
+                if (part.type === 'text') {
+                  return <span key={index}>{part.text}</span>;
+                }
+
+                if (
+                  part.type === 'file' &&
+                  part.mediaType?.startsWith('image/')
+                ) {
+                  return <img key={index} src={part.url} alt={part.filename} />;
+                }
+
+                return null;
+              })}
             </div>
           </div>
         ))}
@@ -713,14 +955,18 @@ export default function Page() {
 
       <form
         onSubmit={event => {
-          handleSubmit(event, {
-            experimental_attachments: files,
-          });
-
-          setFiles(undefined);
-
-          if (fileInputRef.current) {
-            fileInputRef.current.value = '';
+          event.preventDefault();
+          if (input.trim()) {
+            sendMessage({
+              text: input,
+              files,
+            });
+            setInput('');
+            setFiles(undefined);
+
+            if (fileInputRef.current) {
+              fileInputRef.current.value = '';
+            }
           }
         }}
       >
@@ -737,7 +983,7 @@ export default function Page() {
         <input
           value={input}
           placeholder="Send message..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           disabled={status !== 'ready'}
         />
       </form>
@@ -746,32 +992,32 @@ export default function Page() {
 }
 ```
 
-### URLs
+### File Objects
 
-You can also send URLs as attachments along with a message. This can be useful for sending links to external resources or media content.
-
-> **Note:** The URL can also be a data URL, which is a base64-encoded string that represents the content of a file. Currently, only `image/*` content types get automatically converted into [multi-modal content parts](/docs/foundations/prompts#multi-modal-messages). You will need to handle other content types manually.
+You can also send files as objects along with a message. This can be useful for sending pre-uploaded files or data URLs.
 
 ```tsx filename="app/page.tsx"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
 import { useState } from 'react';
-import { Attachment } from 'ai';
+import { FileUIPart } from 'ai';
 
 export default function Page() {
-  const { messages, input, handleSubmit, handleInputChange, status } =
-    useChat();
+  const { messages, sendMessage, status } = useChat();
 
-  const [attachments] = useState<Attachment[]>([
+  const [input, setInput] = useState('');
+  const [files] = useState<FileUIPart[]>([
     {
-      name: 'earth.png',
-      contentType: 'image/png',
+      type: 'file',
+      filename: 'earth.png',
+      mediaType: 'image/png',
       url: 'https://example.com/earth.png',
     },
     {
-      name: 'moon.png',
-      contentType: 'image/png',
+      type: 'file',
+      filename: 'moon.png',
+      mediaType: 'image/png',
       url: 'data:image/png;base64,iVBORw0KGgo...',
     },
   ]);
@@ -784,25 +1030,20 @@ export default function Page() {
             <div>{`${message.role}: `}</div>
 
             <div>
-              {message.parts.map((part, index) =>
-                part.type === 'text' ? (
-                  <span key={index}>{part.text}</span>
-                ) : null,
-              )}
-
-              <div>
-                {message.experimental_attachments
-                  ?.filter(attachment =>
-                    attachment.contentType?.startsWith('image/'),
-                  )
-                  .map((attachment, index) => (
-                    <img
-                      key={`${message.id}-${index}`}
-                      src={attachment.url}
-                      alt={attachment.name}
-                    />
-                  ))}
-              </div>
+              {message.parts.map((part, index) => {
+                if (part.type === 'text') {
+                  return <span key={index}>{part.text}</span>;
+                }
+
+                if (
+                  part.type === 'file' &&
+                  part.mediaType?.startsWith('image/')
+                ) {
+                  return <img key={index} src={part.url} alt={part.filename} />;
+                }
+
+                return null;
+              })}
             </div>
           </div>
         ))}
@@ -810,15 +1051,20 @@ export default function Page() {
 
       <form
         onSubmit={event => {
-          handleSubmit(event, {
-            experimental_attachments: attachments,
-          });
+          event.preventDefault();
+          if (input.trim()) {
+            sendMessage({
+              text: input,
+              files,
+            });
+            setInput('');
+          }
         }}
       >
         <input
           value={input}
           placeholder="Send message..."
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           disabled={status !== 'ready'}
         />
       </form>
@@ -826,3 +1072,110 @@ export default function Page() {
   );
 }
 ```
+
+## Type Inference for Tools
+
+When working with tools in TypeScript, AI SDK UI provides type inference helpers to ensure type safety for your tool inputs and outputs.
+
+### InferUITool
+
+The `InferUITool` type helper infers the input and output types of a single tool for use in UI messages:
+
+```tsx
+import { InferUITool } from 'ai';
+import { z } from 'zod';
+
+const weatherTool = {
+  description: 'Get the current weather',
+  parameters: z.object({
+    location: z.string().describe('The city and state'),
+  }),
+  execute: async ({ location }) => {
+    return `The weather in ${location} is sunny.`;
+  },
+};
+
+// Infer the types from the tool
+type WeatherUITool = InferUITool<typeof weatherTool>;
+// This creates a type with:
+// {
+//   input: { location: string };
+//   output: string;
+// }
+```
+
+### InferUITools
+
+The `InferUITools` type helper infers the input and output types of a `ToolSet`:
+
+```tsx
+import { InferUITools, ToolSet } from 'ai';
+import { z } from 'zod';
+
+const tools: ToolSet = {
+  weather: {
+    description: 'Get the current weather',
+    parameters: z.object({
+      location: z.string().describe('The city and state'),
+    }),
+    execute: async ({ location }) => {
+      return `The weather in ${location} is sunny.`;
+    },
+  },
+  calculator: {
+    description: 'Perform basic arithmetic',
+    parameters: z.object({
+      operation: z.enum(['add', 'subtract', 'multiply', 'divide']),
+      a: z.number(),
+      b: z.number(),
+    }),
+    execute: async ({ operation, a, b }) => {
+      switch (operation) {
+        case 'add':
+          return a + b;
+        case 'subtract':
+          return a - b;
+        case 'multiply':
+          return a * b;
+        case 'divide':
+          return a / b;
+      }
+    },
+  },
+};
+
+// Infer the types from the tool set
+type MyUITools = InferUITools<typeof tools>;
+// This creates a type with:
+// {
+//   weather: { input: { location: string }; output: string };
+//   calculator: { input: { operation: 'add' | 'subtract' | 'multiply' | 'divide'; a: number; b: number }; output: number };
+// }
+```
+
+### Using Inferred Types
+
+You can use these inferred types to create a custom UIMessage type and pass it to various AI SDK UI functions:
+
+```tsx
+import { InferUITools, UIMessage, UIDataTypes } from 'ai';
+
+type MyUITools = InferUITools<typeof tools>;
+type MyUIMessage = UIMessage<never, UIDataTypes, MyUITools>;
+```
+
+Pass the custom type to `useChat` or `createUIMessageStream`:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { createUIMessageStream } from 'ai';
+import { MyUIMessage } from './types';
+
+// With useChat
+const { messages } = useChat<MyUIMessage>();
+
+// With createUIMessageStream
+const stream = createUIMessageStream<MyUIMessage>(/* ... */);
+```
+
+This provides full type safety for tool inputs and outputs on the client and server.
diff --git a/content/docs/04-ai-sdk-ui/03-chatbot-message-persistence.mdx b/content/docs/04-ai-sdk-ui/03-chatbot-message-persistence.mdx
index 3fe8850bc38e..dc88a47502c4 100644
--- a/content/docs/04-ai-sdk-ui/03-chatbot-message-persistence.mdx
+++ b/content/docs/04-ai-sdk-ui/03-chatbot-message-persistence.mdx
@@ -21,7 +21,7 @@ we need to create a new chat and redirect to the chat page with the new chat ID.
 
 ```tsx filename="app/chat/page.tsx"
 import { redirect } from 'next/navigation';
-import { createChat } from '@tools/chat-store';
+import { createChat } from '@util/chat-store';
 
 export default async function Page() {
   const id = await createChat(); // create a new chat
@@ -34,7 +34,7 @@ In a real-world application, you would use a database or a cloud storage service
 and get the chat ID from the database.
 That being said, the function interfaces are designed to be easily replaced with other implementations.
 
-```tsx filename="tools/chat-store.ts"
+```tsx filename="util/chat-store.ts"
 import { generateId } from 'ai';
 import { existsSync, mkdirSync } from 'fs';
 import { writeFile } from 'fs/promises';
@@ -58,7 +58,7 @@ function getChatFile(id: string): string {
 When the user navigates to the chat page with a chat ID, we need to load the chat messages and display them.
 
 ```tsx filename="app/chat/[id]/page.tsx"
-import { loadChat } from '@tools/chat-store';
+import { loadChat } from '@util/chat-store';
 import Chat from '@ui/chat';
 
 export default async function Page(props: { params: Promise<{ id: string }> }) {
@@ -70,7 +70,7 @@ export default async function Page(props: { params: Promise<{ id: string }> }) {
 
 The `loadChat` function in our file-based chat store is implemented as follows:
 
-```tsx filename="tools/chat-store.ts"
+```tsx filename="util/chat-store.ts"
 import { UIMessage } from 'ai';
 import { readFile } from 'fs/promises';
 
@@ -88,23 +88,30 @@ send and receive messages:
 'use client';
 
 import { UIMessage, useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { DefaultChatTransport } from 'ai';
+import { useState } from 'react';
 
 export default function Chat({
   id,
   initialMessages,
 }: { id?: string | undefined; initialMessages?: UIMessage[] } = {}) {
-  const { input, handleInputChange, handleSubmit, messages } = useChat({
-    chatId: id, // use the provided chat ID
-    chatStore: defaultChatStoreOptions({
+  const [input, setInput] = useState('');
+  const { sendMessage, messages } = useChat({
+    id, // use the provided chat ID
+    messages: initialMessages, // load initial messages
+    transport: new DefaultChatTransport({
       api: '/api/chat',
-      chats:
-        initialMessages && id
-          ? { [id]: { messages: initialMessages } }
-          : undefined,
     }),
   });
 
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    if (input.trim()) {
+      sendMessage({ text: input });
+      setInput('');
+    }
+  };
+
   // simplified rendering code, extend as needed:
   return (
     <div>
@@ -118,7 +125,12 @@ export default function Chat({
       ))}
 
       <form onSubmit={handleSubmit}>
-        <input value={input} onChange={handleInputChange} />
+        <input
+          value={input}
+          onChange={e => setInput(e.target.value)}
+          placeholder="Type a message..."
+        />
+        <button type="submit">Send</button>
       </form>
     </div>
   );
@@ -136,12 +148,12 @@ export default function Chat({
   messages in the `useChat` message format.
 </Note>
 
-Storing messages is done in the `onFinish` callback of the `streamText` function.
-`onFinish` receives the messages from the frontend and backend as `UIMessage[]`.
+Storing messages is done in the `onFinish` callback of the `toUIMessageStreamResponse` function.
+`onFinish` receives the complete messages including the new AI response as `UIMessage[]`.
 
 ```tsx filename="app/api/chat/route.ts" highlight="6,11-17"
 import { openai } from '@ai-sdk/openai';
-import { saveChat } from '@tools/chat-store';
+import { saveChat } from '@util/chat-store';
 import { convertToModelMessages, streamText, UIMessage } from 'ai';
 
 export async function POST(req: Request) {
@@ -165,7 +177,7 @@ export async function POST(req: Request) {
 The actual storage of the messages is done in the `saveChat` function, which in
 our file-based chat store is implemented as follows:
 
-```tsx filename="tools/chat-store.ts"
+```tsx filename="util/chat-store.ts"
 import { UIMessage } from 'ai';
 import { writeFile } from 'fs/promises';
 
@@ -188,30 +200,26 @@ export async function saveChat({
 In addition to a chat ID, each message has an ID.
 You can use this message ID to e.g. manipulate individual messages.
 
-The IDs for user messages are generated by the `useChat` hook on the client,
-and the IDs for AI response messages are generated by `streamText`.
+### Client-side vs Server-side ID Generation
 
-You can control the ID format by providing ID generators
-(see [`createIdGenerator()`](/docs/reference/ai-sdk-core/create-id-generator):
+By default, message IDs are generated client-side:
 
-```tsx filename="ui/chat.tsx" highlight="8-14"
-import { createIdGenerator } from 'ai';
-import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+- User message IDs are generated by the `useChat` hook on the client
+- AI response message IDs are generated by `streamText` on the server
 
-const {
-  // ...
-} = useChat({
-  // ...
-  chatStore: defaultChatStoreOptions({
-    // id format for client-side messages:
-    generateId: createIdGenerator({
-      prefix: 'msgc',
-      size: 16,
-    }),
-  }),
-});
-```
+For applications without persistence, client-side ID generation works perfectly.
+However, **for persistence, you need server-side generated IDs** to ensure consistency across sessions and prevent ID conflicts when messages are stored and retrieved.
+
+### Setting Up Server-side ID Generation
+
+When implementing persistence, you have two options for generating server-side IDs:
+
+1. **Using `generateMessageId` in `toUIMessageStreamResponse`**
+2. **Setting IDs in your start message part with `createUIMessageStream`**
+
+#### Option 1: Using `generateMessageId` in `toUIMessageStreamResponse`
+
+You can control the ID format by providing ID generators using [`createIdGenerator()`](/docs/reference/ai-sdk-core/create-id-generator):
 
 ```tsx filename="app/api/chat/route.ts" highlight="7-11"
 import { createIdGenerator, streamText } from 'ai';
@@ -220,36 +228,101 @@ export async function POST(req: Request) {
   // ...
   const result = streamText({
     // ...
-    // id format for server-side messages:
-    experimental_generateMessageId: createIdGenerator({
-      prefix: 'msgs',
+  });
+
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages,
+    // Generate consistent server-side IDs for persistence:
+    generateMessageId: createIdGenerator({
+      prefix: 'msg',
       size: 16,
     }),
+    onFinish: ({ messages }) => {
+      saveChat({ chatId, messages });
+    },
   });
-  // ...
 }
 ```
 
+#### Option 2: Setting IDs with `createUIMessageStream`
+
+Alternatively, you can use `createUIMessageStream` to control the message ID by writing a start message part:
+
+```tsx filename="app/api/chat/route.ts" highlight="8-18"
+import {
+  generateId,
+  streamText,
+  createUIMessageStream,
+  createUIMessageStreamResponse,
+} from 'ai';
+
+export async function POST(req: Request) {
+  const { messages, chatId } = await req.json();
+
+  const stream = createUIMessageStream({
+    execute: ({ writer }) => {
+      // Write start message part with custom ID
+      writer.write({
+        type: 'start',
+        messageId: generateId(), // Generate server-side ID for persistence
+      });
+
+      const result = streamText({
+        model: openai('gpt-4o-mini'),
+        messages: convertToModelMessages(messages),
+      });
+
+      writer.merge(result.toUIMessageStream({ sendStart: false })); // omit start message part
+    },
+    originalMessages: messages,
+    onFinish: ({ responseMessage }) => {
+      // save your chat here
+    },
+  });
+
+  return createUIMessageStreamResponse({ stream });
+}
+```
+
+<Note>
+  For client-side applications that don't require persistence, you can still customize client-side ID generation:
+
+```tsx filename="ui/chat.tsx"
+import { createIdGenerator } from 'ai';
+import { useChat } from '@ai-sdk/react';
+
+const { ... } = useChat({
+  generateId: createIdGenerator({
+    prefix: 'msgc',
+    size: 16,
+  }),
+  // ...
+});
+```
+
+</Note>
+
 ## Sending only the last message
 
 Once you have implemented message persistence, you might want to send only the last message to the server.
 This reduces the amount of data sent to the server on each request and can improve performance.
 
-To achieve this, you can provide an `prepareRequestBody` function to the `useChat` hook.
+To achieve this, you can provide a `prepareSendMessagesRequest` function to the transport.
 This function receives the messages and the chat ID, and returns the request body to be sent to the server.
 
 ```tsx filename="ui/chat.tsx" highlight="7-12"
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { DefaultChatTransport } from 'ai';
 
 const {
   // ...
 } = useChat({
   // ...
-  chatStore: defaultChatStoreOptions({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
     // only send the last message to the server:
-    prepareRequestBody({ messages, chatId }) {
-      return { message: messages[messages.length - 1], chatId };
+    prepareSendMessagesRequest({ messages, id }) {
+      return { body: { message: messages[messages.length - 1], id } };
     },
   }),
 });
@@ -258,27 +331,29 @@ const {
 On the server, you can then load the previous messages and append the new message to the previous messages:
 
 ```tsx filename="app/api/chat/route.ts" highlight="2-11"
-import { appendClientMessage, convertToModelMessages } from 'ai';
+import { convertToModelMessages, UIMessage } from 'ai';
 
 export async function POST(req: Request) {
   // get the last message from the client:
-  const { message, chatId } = await req.json();
+  const { message, id } = await req.json();
 
   // load the previous messages from the server:
-  const previousMessages = await loadChat(chatId);
+  const previousMessages = await loadChat(id);
 
   // append the new message to the previous messages:
-  const messages = appendClientMessage({
-    messages: previousMessages,
-    message,
-  });
+  const messages = [...previousMessages, message];
 
   const result = streamText({
     // ...
     messages: convertToModelMessages(messages),
   });
 
-  // ...
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages,
+    onFinish: ({ messages }) => {
+      saveChat({ chatId: id, messages });
+    },
+  });
 }
 ```
 
@@ -297,7 +372,7 @@ meaning that the result is stored even when the client has already disconnected.
 
 ```tsx filename="app/api/chat/route.ts" highlight="19-21"
 import { convertToModelMessages, streamText, UIMessage } from 'ai';
-import { saveChat } from '@tools/chat-store';
+import { saveChat } from '@util/chat-store';
 
 export async function POST(req: Request) {
   const { messages, chatId }: { messages: UIMessage[]; chatId: string } =
@@ -342,13 +417,13 @@ The following are the pre-requisities for your chat application to support resum
 - Creating a [Redis](https://vercel.com/marketplace/redis) instance to store the stream state.
 - Creating a table that tracks the stream IDs associated with a chat.
 
-To resume a chat stream, you will use the `experimental_resume` function returned by the `useChat` hook. You will call this function during the initial mount of the hook inside the main chat component.
+To resume a chat stream, you will use the `resumeStream` function returned by the `useChat` hook. You will call this function during the initial mount of the hook inside the main chat component.
 
 ```tsx filename="ui/chat.tsx"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions, type UIMessage } from 'ai';
+import { DefaultChatTransport, type UIMessage } from 'ai';
 import { useEffect } from 'react';
 
 export function Chat({
@@ -361,23 +436,19 @@ export function Chat({
   initialMessages: UIMessage[];
 }) {
   const {
-    experimental_resume,
+    resumeStream,
     // ... other useChat returns
   } = useChat({
-    chatId,
-    chatStore: defaultChatStoreOptions({
+    id: chatId,
+    messages: initialMessages,
+    transport: new DefaultChatTransport({
       api: '/api/chat',
-      chats: {
-        [chatId]: {
-          messages: initialMessages,
-        },
-      },
     }),
   });
 
   useEffect(() => {
     if (autoResume) {
-      experimental_resume();
+      resumeStream();
     }
     // We want to disable the exhaustive deps rule here because we only want to run this effect once
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -387,7 +458,7 @@ export function Chat({
 }
 ```
 
-The `experimental_resume` function makes a `GET` request to your configured chat endpoint (or `/api/chat` by default) whenever your client calls it. If there’s an active stream, it will pick up where it left off, otherwise it simply finishes without error.
+The `resumeStream` function makes a `GET` request to your configured chat endpoint (or `/api/chat` by default) whenever your client calls it. If there’s an active stream, it will pick up where it left off, otherwise it simply finishes without error.
 
 The `GET` request automatically appends the `chatId` query parameter to the URL to help identify the chat the request belongs to. Using the `chatId`, you can look up the most recent stream ID from the database and resume the stream.
 
@@ -395,7 +466,7 @@ The `GET` request automatically appends the `chatId` query parameter to the URL
 GET /api/chat?chatId=<your-chat-id>
 ```
 
-Earlier, you must've implemented the `POST` handler for the `/api/chat` route to create new chat generations. When using `experimental_resume`, you must also implement the `GET` handler for `/api/chat` route to resume streams.
+Earlier, you must've implemented the `POST` handler for the `/api/chat` route to create new chat generations. When using `resumeStream`, you must also implement the `GET` handler for `/api/chat` route to resume streams.
 
 ### 1. Implement the GET handler
 
@@ -408,7 +479,7 @@ Add a `GET` method to `/api/chat` that:
 5. Falls back to an empty stream if it’s already closed
 
 ```ts filename="app/api/chat/route.ts"
-import { loadStreams } from '@/util/chat-store';
+import { loadStreams } from '@util/chat-store';
 import { createUIMessageStream, JsonToSseTransformStream } from 'ai';
 import { after } from 'next/server';
 import { createResumableStreamContext } from 'resumable-stream';
@@ -457,18 +528,18 @@ When you create a brand-new chat completion, you must:
 
 1. Generate a fresh `streamId`
 2. Persist it alongside your `chatId`
-3. Kick off a `createDataStream` that pipes tokens as they arrive
+3. Kick off a `createUIMessageStream` that pipes tokens as they arrive
 4. Hand that new stream to `streamContext.resumableStream()`
 
 ```ts filename="app/api/chat/route.ts"
 import {
   convertToModelMessages,
-  createDataStream,
+  createUIMessageStream,
   generateId,
   streamText,
   UIMessage,
 } from 'ai';
-import { appendStreamId, saveChat } from '@/util/chat-store';
+import { appendStreamId, saveChat } from '@util/chat-store';
 import { createResumableStreamContext } from 'resumable-stream';
 import { openai } from '@ai-sdk/openai';
 
diff --git a/content/docs/04-ai-sdk-ui/03-chatbot-tool-usage.mdx b/content/docs/04-ai-sdk-ui/03-chatbot-tool-usage.mdx
index 0a797cf18706..e9ba3db6029e 100644
--- a/content/docs/04-ai-sdk-ui/03-chatbot-tool-usage.mdx
+++ b/content/docs/04-ai-sdk-ui/03-chatbot-tool-usage.mdx
@@ -20,23 +20,22 @@ The flow is as follows:
 1. All tool calls are forwarded to the client.
 1. Server-side tools are executed using their `execute` method and their results are forwarded to the client.
 1. Client-side tools that should be automatically executed are handled with the `onToolCall` callback.
-   You can return the tool result from the callback.
+   You must call `addToolResult` to provide the tool result.
 1. Client-side tool that require user interactions can be displayed in the UI.
    The tool calls and results are available as tool invocation parts in the `parts` property of the last assistant message.
 1. When the user interaction is done, `addToolResult` can be used to add the tool result to the chat.
-1. When there are tool calls in the last assistant message and all tool results are available, the client sends the updated messages back to the server.
+1. The chat can be configured to automatically submit when all tool results are available using `sendAutomaticallyWhen`.
    This triggers another iteration of this flow.
 
-The tool call and tool executions are integrated into the assistant message as tool invocation parts.
-A tool invocation is at first a tool call, and then it becomes a tool result when the tool is executed.
+The tool calls and tool executions are integrated into the assistant message as typed tool parts.
+A tool part is at first a tool call, and then it becomes a tool result when the tool is executed.
 The tool result contains all information about the tool call as well as the result of the tool execution.
 
 <Note>
-  In order to automatically send another request to the server when all tool
-  calls are server-side, you need to set
-  [`maxSteps`](/docs/reference/ai-sdk-ui/use-chat#max-steps) to a value greater
-  than 1 in the `useChat` options. It is disabled by default for backward
-  compatibility.
+  Tool result submission can be configured using the `sendAutomaticallyWhen`
+  option. You can use the `lastAssistantMessageIsCompleteWithToolCalls` helper
+  to automatically submit when all tool results are available. This simplifies
+  the client-side code while still allowing full control when needed.
 </Note>
 
 ## Example
@@ -67,7 +66,7 @@ export async function POST(req: Request) {
       // server-side tool with execute function:
       getWeatherInformation: {
         description: 'show the weather in a given city to the user',
-        parameters: z.object({ city: z.string() }),
+        inputSchema: z.object({ city: z.string() }),
         execute: async ({}: { city: string }) => {
           const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy', 'windy'];
           return weatherOptions[
@@ -78,7 +77,7 @@ export async function POST(req: Request) {
       // client-side tool that starts user interaction:
       askForConfirmation: {
         description: 'Ask the user for confirmation.',
-        parameters: z.object({
+        inputSchema: z.object({
           message: z.string().describe('The message to ask for confirmation.'),
         }),
       },
@@ -86,7 +85,7 @@ export async function POST(req: Request) {
       getLocation: {
         description:
           'Get the user location. Always ask for confirmation before using this tool.',
-        parameters: z.object({}),
+        inputSchema: z.object({}),
       },
     },
   });
@@ -98,45 +97,55 @@ export async function POST(req: Request) {
 ### Client-side page
 
 The client-side page uses the `useChat` hook to create a chatbot application with real-time message streaming.
-Tool invocations are displayed in the chat UI as tool invocation parts.
+Tool calls are displayed in the chat UI as typed tool parts.
 Please make sure to render the messages using the `parts` property of the message.
 
 There are three things worth mentioning:
 
 1. The [`onToolCall`](/docs/reference/ai-sdk-ui/use-chat#on-tool-call) callback is used to handle client-side tools that should be automatically executed.
    In this example, the `getLocation` tool is a client-side tool that returns a random city.
+   You call `addToolResult` to provide the result (without `await` to avoid potential deadlocks).
 
-2. The `toolInvocations` property of the last assistant message contains all tool calls and results.
+2. The [`sendAutomaticallyWhen`](/docs/reference/ai-sdk-ui/use-chat#send-automatically-when) option with `lastAssistantMessageIsCompleteWithToolCalls` helper automatically submits when all tool results are available.
+
+3. The `parts` array of assistant messages contains tool parts with typed names like `tool-askForConfirmation`.
    The client-side tool `askForConfirmation` is displayed in the UI.
    It asks the user for confirmation and displays the result once the user confirms or denies the execution.
-   The result is added to the chat using `addToolResult`.
-
-3. The [`maxSteps`](/docs/reference/ai-sdk-ui/use-chat#max-steps) option is set to 5.
-   This enables several tool use iterations between the client and the server.
+   The result is added to the chat using `addToolResult` with the `tool` parameter for type safety.
 
-```tsx filename='app/page.tsx' highlight="9,12,31"
+```tsx filename='app/page.tsx' highlight="2,6,10,14-20"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, addToolResult } =
-    useChat({
-      maxSteps: 5,
-
-      // run client-side tools that are automatically executed:
-      async onToolCall({ toolCall }) {
-        if (toolCall.toolName === 'getLocation') {
-          const cities = [
-            'New York',
-            'Los Angeles',
-            'Chicago',
-            'San Francisco',
-          ];
-          return cities[Math.floor(Math.random() * cities.length)];
-        }
-      },
-    });
+  const { messages, sendMessage, addToolResult } = useChat({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+
+    sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+    // run client-side tools that are automatically executed:
+    async onToolCall({ toolCall }) {
+      if (toolCall.toolName === 'getLocation') {
+        const cities = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'];
+
+        // No await - avoids potential deadlocks
+        addToolResult({
+          tool: 'getLocation',
+          toolCallId: toolCall.toolCallId,
+          output: cities[Math.floor(Math.random() * cities.length)],
+        });
+      }
+    },
+  });
+  const [input, setInput] = useState('');
 
   return (
     <>
@@ -149,93 +158,109 @@ export default function Chat() {
               case 'text':
                 return part.text;
 
-              // for tool invocations, distinguish between the tools and the state:
-              case 'tool-invocation': {
-                const callId = part.toolInvocation.toolCallId;
-
-                switch (part.toolInvocation.toolName) {
-                  case 'askForConfirmation': {
-                    switch (part.toolInvocation.state) {
-                      case 'call':
-                        return (
-                          <div key={callId}>
-                            {part.toolInvocation.args.message}
-                            <div>
-                              <button
-                                onClick={() =>
-                                  addToolResult({
-                                    toolCallId: callId,
-                                    result: 'Yes, confirmed.',
-                                  })
-                                }
-                              >
-                                Yes
-                              </button>
-                              <button
-                                onClick={() =>
-                                  addToolResult({
-                                    toolCallId: callId,
-                                    result: 'No, denied',
-                                  })
-                                }
-                              >
-                                No
-                              </button>
-                            </div>
-                          </div>
-                        );
-                      case 'result':
-                        return (
-                          <div key={callId}>
-                            Location access allowed:{' '}
-                            {part.toolInvocation.result}
-                          </div>
-                        );
-                    }
-                    break;
-                  }
-
-                  case 'getLocation': {
-                    switch (part.toolInvocation.state) {
-                      case 'call':
-                        return <div key={callId}>Getting location...</div>;
-                      case 'result':
-                        return (
-                          <div key={callId}>
-                            Location: {part.toolInvocation.result}
-                          </div>
-                        );
-                    }
-                    break;
-                  }
-
-                  case 'getWeatherInformation': {
-                    switch (part.toolInvocation.state) {
-                      // example of pre-rendering streaming tool calls:
-                      case 'partial-call':
-                        return (
-                          <pre key={callId}>
-                            {JSON.stringify(part.toolInvocation, null, 2)}
-                          </pre>
-                        );
-                      case 'call':
-                        return (
-                          <div key={callId}>
-                            Getting weather information for{' '}
-                            {part.toolInvocation.args.city}...
-                          </div>
-                        );
-                      case 'result':
-                        return (
-                          <div key={callId}>
-                            Weather in {part.toolInvocation.args.city}:{' '}
-                            {part.toolInvocation.result}
-                          </div>
-                        );
-                    }
-                    break;
-                  }
+              // for tool parts, use the typed tool part names:
+              case 'tool-askForConfirmation': {
+                const callId = part.toolCallId;
+
+                switch (part.state) {
+                  case 'input-streaming':
+                    return (
+                      <div key={callId}>Loading confirmation request...</div>
+                    );
+                  case 'input-available':
+                    return (
+                      <div key={callId}>
+                        {part.input.message}
+                        <div>
+                          <button
+                            onClick={() =>
+                              addToolResult({
+                                tool: 'askForConfirmation',
+                                toolCallId: callId,
+                                output: 'Yes, confirmed.',
+                              })
+                            }
+                          >
+                            Yes
+                          </button>
+                          <button
+                            onClick={() =>
+                              addToolResult({
+                                tool: 'askForConfirmation',
+                                toolCallId: callId,
+                                output: 'No, denied',
+                              })
+                            }
+                          >
+                            No
+                          </button>
+                        </div>
+                      </div>
+                    );
+                  case 'output-available':
+                    return (
+                      <div key={callId}>
+                        Location access allowed: {part.output}
+                      </div>
+                    );
+                  case 'output-error':
+                    return <div key={callId}>Error: {part.errorText}</div>;
+                }
+                break;
+              }
+
+              case 'tool-getLocation': {
+                const callId = part.toolCallId;
+
+                switch (part.state) {
+                  case 'input-streaming':
+                    return (
+                      <div key={callId}>Preparing location request...</div>
+                    );
+                  case 'input-available':
+                    return <div key={callId}>Getting location...</div>;
+                  case 'output-available':
+                    return <div key={callId}>Location: {part.output}</div>;
+                  case 'output-error':
+                    return (
+                      <div key={callId}>
+                        Error getting location: {part.errorText}
+                      </div>
+                    );
                 }
+                break;
+              }
+
+              case 'tool-getWeatherInformation': {
+                const callId = part.toolCallId;
+
+                switch (part.state) {
+                  // example of pre-rendering streaming tool inputs:
+                  case 'input-streaming':
+                    return (
+                      <pre key={callId}>{JSON.stringify(part, null, 2)}</pre>
+                    );
+                  case 'input-available':
+                    return (
+                      <div key={callId}>
+                        Getting weather information for {part.input.city}...
+                      </div>
+                    );
+                  case 'output-available':
+                    return (
+                      <div key={callId}>
+                        Weather in {part.input.city}: {part.output}
+                      </div>
+                    );
+                  case 'output-error':
+                    return (
+                      <div key={callId}>
+                        Error getting weather for {part.input.city}:{' '}
+                        {part.errorText}
+                      </div>
+                    );
+                }
+                break;
               }
             }
           })}
@@ -243,8 +268,16 @@ export default function Chat() {
         </div>
       ))}
 
-      <form onSubmit={handleSubmit}>
-        <input value={input} onChange={handleInputChange} />
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          if (input.trim()) {
+            sendMessage({ text: input });
+            setInput('');
+          }
+        }}
+      >
+        <input value={input} onChange={e => setInput(e.target.value)} />
       </form>
     </>
   );
@@ -253,17 +286,16 @@ export default function Chat() {
 
 ## Tool call streaming
 
-You can stream tool calls while they are being generated by enabling the
-`toolCallStreaming` option in `streamText`.
+Tool call streaming is **enabled by default** in AI SDK 5.0, allowing you to stream tool calls while they are being generated. This provides a better user experience by showing tool inputs as they are generated in real-time.
 
-```tsx filename='app/api/chat/route.ts' highlight="7"
+```tsx filename='app/api/chat/route.ts'
 export async function POST(req: Request) {
   const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
-    toolCallStreaming: true,
+    // toolCallStreaming is enabled by default in v5
     // ...
   });
 
@@ -271,10 +303,10 @@ export async function POST(req: Request) {
 }
 ```
 
-When the flag is enabled, partial tool calls will be streamed as part of the data stream.
+With tool call streaming enabled, partial tool calls are streamed as part of the data stream.
 They are available through the `useChat` hook.
-The tool invocation parts of assistant messages will also contain partial tool calls.
-You can use the `state` property of the tool invocation to render the correct UI.
+The typed tool parts of assistant messages will also contain partial tool calls.
+You can use the `state` property of the tool part to render the correct UI.
 
 ```tsx filename='app/page.tsx' highlight="9,10"
 export default function Chat() {
@@ -284,15 +316,20 @@ export default function Chat() {
       {messages?.map(message => (
         <div key={message.id}>
           {message.parts.map(part => {
-            if (part.type === 'tool-invocation') {
-              switch (part.toolInvocation.state) {
-                case 'partial-call':
-                  return <>render partial tool call</>;
-                case 'call':
-                  return <>render full tool call</>;
-                case 'result':
-                  return <>render tool result</>;
-              }
+            switch (part.type) {
+              case 'tool-askForConfirmation':
+              case 'tool-getLocation':
+              case 'tool-getWeatherInformation':
+                switch (part.state) {
+                  case 'input-streaming':
+                    return <pre>{JSON.stringify(part.input, null, 2)}</pre>;
+                  case 'input-available':
+                    return <pre>{JSON.stringify(part.input, null, 2)}</pre>;
+                  case 'output-available':
+                    return <pre>{JSON.stringify(part.output, null, 2)}</pre>;
+                  case 'output-error':
+                    return <div>Error: {part.errorText}</div>;
+                }
             }
           })}
         </div>
@@ -305,7 +342,7 @@ export default function Chat() {
 ## Step start parts
 
 When you are using multi-step tool calls, the AI SDK will add step start parts to the assistant messages.
-If you want to display boundaries between tool invocations, you can use the `step-start` parts as follows:
+If you want to display boundaries between tool calls, you can use the `step-start` parts as follows:
 
 ```tsx filename='app/page.tsx'
 // ...
@@ -321,7 +358,9 @@ message.parts.map((part, index) => {
       ) : null;
     case 'text':
     // ...
-    case 'tool-invocation':
+    case 'tool-askForConfirmation':
+    case 'tool-getLocation':
+    case 'tool-getWeatherInformation':
     // ...
   }
 });
@@ -335,7 +374,7 @@ This works when all invoked tools have an `execute` function on the server side.
 
 ```tsx filename='app/api/chat/route.ts' highlight="15-21,24"
 import { openai } from '@ai-sdk/openai';
-import { convertToModelMessages, streamText, UIMessage } from 'ai';
+import { convertToModelMessages, streamText, UIMessage, stepCountIs } from 'ai';
 import { z } from 'zod';
 
 export async function POST(req: Request) {
@@ -347,7 +386,7 @@ export async function POST(req: Request) {
     tools: {
       getWeatherInformation: {
         description: 'show the weather in a given city to the user',
-        parameters: z.object({ city: z.string() }),
+        inputSchema: z.object({ city: z.string() }),
         // tool has execute function:
         execute: async ({}: { city: string }) => {
           const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy', 'windy'];
@@ -357,7 +396,7 @@ export async function POST(req: Request) {
         },
       },
     },
-    maxSteps: 5,
+    stopWhen: stepCountIs(5),
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/docs/04-ai-sdk-ui/04-generative-user-interfaces.mdx b/content/docs/04-ai-sdk-ui/04-generative-user-interfaces.mdx
index 9d07c072dcc5..4649aa137dac 100644
--- a/content/docs/04-ai-sdk-ui/04-generative-user-interfaces.mdx
+++ b/content/docs/04-ai-sdk-ui/04-generative-user-interfaces.mdx
@@ -32,23 +32,38 @@ Start with a basic chat implementation using the `useChat` hook:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    sendMessage({ text: input });
+    setInput('');
+  };
 
   return (
     <div>
       {messages.map(message => (
         <div key={message.id}>
           <div>{message.role === 'user' ? 'User: ' : 'AI: '}</div>
-          <div>{message.content}</div>
+          <div>
+            {message.parts.map((part, index) => {
+              if (part.type === 'text') {
+                return <span key={index}>{part.text}</span>;
+              }
+              return null;
+            })}
+          </div>
         </div>
       ))}
 
       <form onSubmit={handleSubmit}>
         <input
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           placeholder="Type a message..."
         />
         <button type="submit">Send</button>
@@ -62,7 +77,7 @@ To handle the chat requests and model responses, set up an API route:
 
 ```ts filename="app/api/chat/route.ts"
 import { openai } from '@ai-sdk/openai';
-import { streamText, convertToModelMessages, UIMessage } from 'ai';
+import { streamText, convertToModelMessages, UIMessage, stepCountIs } from 'ai';
 
 export async function POST(request: Request) {
   const { messages }: { messages: UIMessage[] } = await request.json();
@@ -71,7 +86,7 @@ export async function POST(request: Request) {
     model: openai('gpt-4o'),
     system: 'You are a friendly assistant!',
     messages: convertToModelMessages(messages),
-    maxSteps: 5,
+    stopWhen: stepCountIs(5),
   });
 
   return result.toUIMessageStreamResponse();
@@ -92,7 +107,7 @@ import { z } from 'zod';
 
 export const weatherTool = createTool({
   description: 'Display the weather for a location',
-  parameters: z.object({
+  inputSchema: z.object({
     location: z.string().describe('The location to get the weather for'),
   }),
   execute: async function ({ location }) {
@@ -114,7 +129,7 @@ Update the API route to include the tool you've defined:
 
 ```ts filename="app/api/chat/route.ts" highlight="3,8,14"
 import { openai } from '@ai-sdk/openai';
-import { streamText, convertToModelMessages, UIMessage } from 'ai';
+import { streamText, convertToModelMessages, UIMessage, stepCountIs } from 'ai';
 import { tools } from '@/ai/tools';
 
 export async function POST(request: Request) {
@@ -124,7 +139,7 @@ export async function POST(request: Request) {
     model: openai('gpt-4o'),
     system: 'You are a friendly assistant!',
     messages: convertToModelMessages(messages),
-    maxSteps: 5,
+    stopWhen: stepCountIs(5),
     tools,
   });
 
@@ -162,48 +177,56 @@ This component will display the weather information for a given location. It tak
 
 Now that you have your tool and corresponding React component, let's integrate them into your chat interface. You'll render the Weather component when the model calls the weather tool.
 
-To check if the model has called a tool, you can use the `toolInvocations` property of the UIMessage object. This property contains information about any tools that were invoked in that generation including `toolCallId`, `toolName`, `args`, `toolState`, and `result`.
+To check if the model has called a tool, you can check the `parts` array of the UIMessage object for tool-specific parts. In AI SDK 5.0, tool parts use typed naming: `tool-${toolName}` instead of generic types.
 
 Update your `page.tsx` file:
 
-```tsx filename="app/page.tsx" highlight="4,16-39"
+```tsx filename="app/page.tsx" highlight="4,9,14-15,19-46"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 import { Weather } from '@/components/weather';
 
 export default function Page() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    sendMessage({ text: input });
+    setInput('');
+  };
 
   return (
     <div>
       {messages.map(message => (
         <div key={message.id}>
           <div>{message.role === 'user' ? 'User: ' : 'AI: '}</div>
-          <div>{message.content}</div>
-
           <div>
-            {message.toolInvocations?.map(toolInvocation => {
-              const { toolName, toolCallId, state } = toolInvocation;
-
-              if (state === 'result') {
-                if (toolName === 'displayWeather') {
-                  const { result } = toolInvocation;
-                  return (
-                    <div key={toolCallId}>
-                      <Weather {...result} />
-                    </div>
-                  );
+            {message.parts.map((part, index) => {
+              if (part.type === 'text') {
+                return <span key={index}>{part.text}</span>;
+              }
+
+              if (part.type === 'tool-displayWeather') {
+                switch (part.state) {
+                  case 'input-available':
+                    return <div key={index}>Loading weather...</div>;
+                  case 'output-available':
+                    return (
+                      <div key={index}>
+                        <Weather {...part.output} />
+                      </div>
+                    );
+                  case 'output-error':
+                    return <div key={index}>Error: {part.errorText}</div>;
+                  default:
+                    return null;
                 }
-              } else {
-                return (
-                  <div key={toolCallId}>
-                    {toolName === 'displayWeather' ? (
-                      <div>Loading weather...</div>
-                    ) : null}
-                  </div>
-                );
               }
+
+              return null;
             })}
           </div>
         </div>
@@ -212,7 +235,7 @@ export default function Page() {
       <form onSubmit={handleSubmit}>
         <input
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           placeholder="Type a message..."
         />
         <button type="submit">Send</button>
@@ -224,10 +247,10 @@ export default function Page() {
 
 In this updated code snippet, you:
 
-1. Check if the UIMessage has `toolInvocations`.
-2. Check if the tool invocation state is 'result'.
-3. If it's a result and the tool name is 'displayWeather', render the Weather component.
-4. If the tool invocation state is not 'result', show a loading message.
+1. Use manual input state management with `useState` instead of the built-in `input` and `handleInputChange`.
+2. Use `sendMessage` instead of `handleSubmit` to send messages.
+3. Check the `parts` array of each message for different content types.
+4. Handle tool parts with type `tool-displayWeather` and their different states (`input-available`, `output-available`, `output-error`).
 
 This approach allows you to dynamically render UI components based on the model's responses, creating a more interactive and context-aware chat experience.
 
@@ -243,7 +266,7 @@ To add more tools, simply define them in your `ai/tools.ts` file:
 // Add a new stock tool
 export const stockTool = createTool({
   description: 'Get price for a stock',
-  parameters: z.object({
+  inputSchema: z.object({
     symbol: z.string().describe('The stock symbol to get the price for'),
   }),
   execute: async function ({ symbol }) {
@@ -285,48 +308,66 @@ Finally, update your `page.tsx` file to include the new Stock component:
 'use client';
 
 import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 import { Weather } from '@/components/weather';
 import { Stock } from '@/components/stock';
 
 export default function Page() {
-  const { messages, input, setInput, handleSubmit } = useChat();
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    sendMessage({ text: input });
+    setInput('');
+  };
 
   return (
     <div>
       {messages.map(message => (
         <div key={message.id}>
           <div>{message.role}</div>
-          <div>{message.content}</div>
-
           <div>
-            {message.toolInvocations?.map(toolInvocation => {
-              const { toolName, toolCallId, state } = toolInvocation;
-
-              if (state === 'result') {
-                if (toolName === 'displayWeather') {
-                  const { result } = toolInvocation;
-                  return (
-                    <div key={toolCallId}>
-                      <Weather {...result} />
-                    </div>
-                  );
-                } else if (toolName === 'getStockPrice') {
-                  const { result } = toolInvocation;
-                  return <Stock key={toolCallId} {...result} />;
+            {message.parts.map((part, index) => {
+              if (part.type === 'text') {
+                return <span key={index}>{part.text}</span>;
+              }
+
+              if (part.type === 'tool-displayWeather') {
+                switch (part.state) {
+                  case 'input-available':
+                    return <div key={index}>Loading weather...</div>;
+                  case 'output-available':
+                    return (
+                      <div key={index}>
+                        <Weather {...part.output} />
+                      </div>
+                    );
+                  case 'output-error':
+                    return <div key={index}>Error: {part.errorText}</div>;
+                  default:
+                    return null;
                 }
-              } else {
-                return (
-                  <div key={toolCallId}>
-                    {toolName === 'displayWeather' ? (
-                      <div>Loading weather...</div>
-                    ) : toolName === 'getStockPrice' ? (
-                      <div>Loading stock price...</div>
-                    ) : (
-                      <div>Loading...</div>
-                    )}
-                  </div>
-                );
               }
+
+              if (part.type === 'tool-getStockPrice') {
+                switch (part.state) {
+                  case 'input-available':
+                    return <div key={index}>Loading stock price...</div>;
+                  case 'output-available':
+                    return (
+                      <div key={index}>
+                        <Stock {...part.output} />
+                      </div>
+                    );
+                  case 'output-error':
+                    return <div key={index}>Error: {part.errorText}</div>;
+                  default:
+                    return null;
+                }
+              }
+
+              return null;
             })}
           </div>
         </div>
@@ -336,9 +377,7 @@ export default function Page() {
         <input
           type="text"
           value={input}
-          onChange={event => {
-            setInput(event.target.value);
-          }}
+          onChange={e => setInput(e.target.value)}
         />
         <button type="submit">Send</button>
       </form>
diff --git a/content/docs/04-ai-sdk-ui/05-completion.mdx b/content/docs/04-ai-sdk-ui/05-completion.mdx
index 3c233211d6be..64ad7eab8238 100644
--- a/content/docs/04-ai-sdk-ui/05-completion.mdx
+++ b/content/docs/04-ai-sdk-ui/05-completion.mdx
@@ -7,6 +7,10 @@ description: Learn how to use the useCompletion hook.
 
 The `useCompletion` hook allows you to create a user interface to handle text completions in your application. It enables the streaming of text completions from your AI provider, manages the state for chat input, and updates the UI automatically as new messages are received.
 
+<Note>
+  The `useCompletion` hook is now part of the `@ai-sdk/react` package.
+</Note>
+
 In this guide, you will learn how to use the `useCompletion` hook in your application to generate text completions and stream them in real-time to your users.
 
 ## Example
@@ -151,8 +155,8 @@ const { ... } = useCompletion({
   onResponse: (response: Response) => {
     console.log('Received response from server:', response)
   },
-  onFinish: (message: Message) => {
-    console.log('Finished streaming message:', message)
+  onFinish: (prompt: string, completion: string) => {
+    console.log('Finished streaming completion:', completion)
   },
   onError: (error: Error) => {
     console.error('An error occurred:', error)
diff --git a/content/docs/04-ai-sdk-ui/08-object-generation.mdx b/content/docs/04-ai-sdk-ui/08-object-generation.mdx
index aa719e8f9d90..b5258db889c9 100644
--- a/content/docs/04-ai-sdk-ui/08-object-generation.mdx
+++ b/content/docs/04-ai-sdk-ui/08-object-generation.mdx
@@ -95,6 +95,64 @@ export async function POST(req: Request) {
 }
 ```
 
+## Enum Output Mode
+
+When you need to classify or categorize input into predefined options, you can use the `enum` output mode with `useObject`. This requires a specific schema structure where the object has `enum` as a key with `z.enum` containing your possible values.
+
+### Example: Text Classification
+
+This example shows how to build a simple text classifier that categorizes statements as true or false.
+
+#### Client
+
+When using `useObject` with enum output mode, your schema must be an object with `enum` as the key:
+
+```tsx filename='app/classify/page.tsx'
+'use client';
+
+import { experimental_useObject as useObject } from '@ai-sdk/react';
+import { z } from 'zod';
+
+export default function ClassifyPage() {
+  const { object, submit, isLoading } = useObject({
+    api: '/api/classify',
+    schema: z.object({ enum: z.enum(['true', 'false']) }),
+  });
+
+  return (
+    <>
+      <button onClick={() => submit('The earth is flat')} disabled={isLoading}>
+        Classify statement
+      </button>
+
+      {object && <div>Classification: {object.enum}</div>}
+    </>
+  );
+}
+```
+
+#### Server
+
+On the server, use `streamObject` with `output: 'enum'` to stream the classification result:
+
+```typescript filename='app/api/classify/route.ts'
+import { openai } from '@ai-sdk/openai';
+import { streamObject } from 'ai';
+
+export async function POST(req: Request) {
+  const context = await req.json();
+
+  const result = streamObject({
+    model: openai('gpt-4.1'),
+    output: 'enum',
+    enum: ['true', 'false'],
+    prompt: `Classify this statement as true or false: ${context}`,
+  });
+
+  return result.toTextStreamResponse();
+}
+```
+
 ## Customized UI
 
 `useObject` also provides ways to show loading and error states:
diff --git a/content/docs/04-ai-sdk-ui/20-streaming-data.mdx b/content/docs/04-ai-sdk-ui/20-streaming-data.mdx
index b21ffe8c7510..2fb15008e8df 100644
--- a/content/docs/04-ai-sdk-ui/20-streaming-data.mdx
+++ b/content/docs/04-ai-sdk-ui/20-streaming-data.mdx
@@ -1,6 +1,6 @@
 ---
 title: Streaming Custom Data
-description: Learn how to stream custom data to the client.
+description: Learn how to stream custom data from the server to the client.
 ---
 
 # Streaming Custom Data
@@ -16,124 +16,71 @@ and attach it to the `UIMessage` parts array:
 - `createUIMessageStreamResponse`: creates a response object that streams data
 - `pipeUIMessageStreamToResponse`: pipes a data stream to a server response object
 
-The data is streamed as part of the response stream.
-
-## Sending Custom Data from the Server
-
-In your server-side route handler, you can use `createUIMessageStreamResponse` in combination with `streamText`.
-You need to:
+The data is streamed as part of the response stream using Server-Sent Events.
+
+## Setting Up Type-Safe Data Streaming
+
+First, define your custom message type with data part schemas for type safety:
+
+```tsx filename="ai/types.ts"
+import { UIMessage } from 'ai';
+
+// Define your custom message type with data part schemas
+export type MyUIMessage = UIMessage<
+  never, // metadata type
+  {
+    weather: {
+      city: string;
+      weather?: string;
+      status: 'loading' | 'success';
+    };
+    notification: {
+      message: string;
+      level: 'info' | 'warning' | 'error';
+    };
+  } // data parts type
+>;
+```
 
-1. Call `createUIMessageStreamResponse` to get a callback function with a `UIMessageStreamWriter`.
-2. Write to the `UIMessageStreamWriter` to stream additional data parts.
-3. Merge the `streamText` result into the `UIMessageStreamWriter`.
-4. Return the response from `createUIMessageStreamResponse`
+## Streaming Data from the Server
 
-Here is an example:
+In your server-side route handler, you can create a `UIMessageStream` and then pass it to `createUIMessageStreamResponse`:
 
-```tsx filename="route.ts" highlight="7-10,16,19-27,29-30"
+```tsx filename="route.ts"
 import { openai } from '@ai-sdk/openai';
 import {
+  createUIMessageStream,
   createUIMessageStreamResponse,
   streamText,
   convertToModelMessages,
 } from 'ai';
+import { MyUIMessage } from '@/ai/types';
 
 export async function POST(req: Request) {
   const { messages } = await req.json();
 
-  // immediately start streaming (solves RAG issues with status, etc.)
-  return createUIMessageStreamResponse({
+  const stream = createUIMessageStream<MyUIMessage>({
     execute: ({ writer }) => {
-      // write custom data parts to the stream:
+      // 1. Send initial status (transient - won't be added to message history)
       writer.write({
-        type: 'data-status',
-        id: 'call-status',
-        data: { message: 'initialized call' },
-      });
-
-      const result = streamText({
-        model: openai('gpt-4.1'),
-        messages: convertToModelMessages(messages),
-        onFinish() {
-          // write completion data:
-          writer.write({
-            type: 'data-completion',
-            id: 'call-completion',
-            data: { message: 'call completed', timestamp: Date.now() },
-          });
-        },
+        type: 'data-notification',
+        data: { message: 'Processing your request...', level: 'info' },
+        transient: true, // This part won't be added to message history
       });
 
-      writer.merge(result.toUIMessageStream());
-    },
-  });
-}
-```
-
-<Note>
-  You can also send stream data from custom backends, e.g. Python / FastAPI,
-  using the [Data Stream
-  Protocol](/docs/ai-sdk-ui/stream-protocol#data-stream-protocol).
-</Note>
-
-## Sending Custom Sources
-
-You can send custom sources to the client using the `write` method on the `UIMessageStreamWriter`:
-
-```tsx filename="route.ts" highlight="9-17"
-import { openai } from '@ai-sdk/openai';
-import {
-  createUIMessageStreamResponse,
-  streamText,
-  convertToModelMessages,
-} from 'ai';
-
-export async function POST(req: Request) {
-  const { messages } = await req.json();
-
-  return createUIMessageStreamResponse({
-    execute: ({ writer }) => {
-      // write a custom url source to the stream:
+      // 2. Send sources (useful for RAG use cases)
       writer.write({
         type: 'source',
         value: {
           type: 'source',
           sourceType: 'url',
           id: 'source-1',
-          url: 'https://example.com',
-          title: 'Example Source',
+          url: 'https://weather.com',
+          title: 'Weather Data Source',
         },
       });
 
-      const result = streamText({
-        model: openai('gpt-4.1'),
-        messages: convertToModelMessages(messages),
-      });
-
-      writer.merge(result.toUIMessageStream());
-    },
-  });
-}
-```
-
-## Sending Data Parts
-
-You can send custom data parts to the client that will appear in the message parts array:
-
-```tsx filename="route.ts" highlight="9-14,20-25"
-import { openai } from '@ai-sdk/openai';
-import {
-  createUIMessageStreamResponse,
-  streamText,
-  convertToModelMessages,
-} from 'ai';
-
-export async function POST(req: Request) {
-  const { messages } = await req.json();
-
-  return createUIMessageStreamResponse({
-    execute: ({ writer }) => {
-      // write custom data part:
+      // 3. Send data parts with loading state
       writer.write({
         type: 'data-weather',
         id: 'weather-1',
@@ -144,82 +91,151 @@ export async function POST(req: Request) {
         model: openai('gpt-4.1'),
         messages: convertToModelMessages(messages),
         onFinish() {
-          // update the data part:
+          // 4. Update the same data part (reconciliation)
           writer.write({
             type: 'data-weather',
-            id: 'weather-1',
+            id: 'weather-1', // Same ID = update existing part
             data: {
               city: 'San Francisco',
               weather: 'sunny',
               status: 'success',
             },
           });
+
+          // 5. Send completion notification (transient)
+          writer.write({
+            type: 'data-notification',
+            data: { message: 'Request completed', level: 'info' },
+            transient: true, // Won't be added to message history
+          });
         },
       });
 
       writer.merge(result.toUIMessageStream());
     },
   });
+
+  return createUIMessageStreamResponse({ stream });
 }
 ```
 
-## Processing Custom Data in `useChat`
+<Note>
+  You can also send stream data from custom backends, e.g. Python / FastAPI,
+  using the [UI Message Stream
+  Protocol](/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol).
+</Note>
 
-The `useChat` hook automatically processes the streamed data and makes it available in the message parts array.
+## Types of Streamable Data
 
-### Accessing Data Parts
+### Data Parts (Persistent)
 
-On the client, you can access data parts through the `message.parts` array. You need to define the data part schemas when setting up the chat store:
+Regular data parts are added to the message history and appear in `message.parts`:
 
-```tsx filename="page.tsx"
-import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
-import { z } from 'zod';
+```tsx
+writer.write({
+  type: 'data-weather',
+  id: 'weather-1', // Optional: enables reconciliation
+  data: { city: 'San Francisco', status: 'loading' },
+});
+```
 
-const { messages } = useChat({
-  chatStore: defaultChatStoreOptions({
-    api: '/api/chat',
-    dataPartSchemas: {
-      weather: z.object({
-        city: z.string(),
-        weather: z.string().optional(),
-        status: z.enum(['loading', 'success']),
-      }),
-    },
-  }),
+### Sources
+
+Sources are useful for RAG implementations where you want to show which documents or URLs were referenced:
+
+```tsx
+writer.write({
+  type: 'source',
+  value: {
+    type: 'source',
+    sourceType: 'url',
+    id: 'source-1',
+    url: 'https://example.com',
+    title: 'Example Source',
+  },
 });
 ```
 
-### Rendering Data Parts
+### Transient Data Parts (Ephemeral)
 
-You can filter and render specific data parts from the message parts array:
+Transient parts are sent to the client but not added to the message history. They are only accessible via the `onData` useChat handler:
 
-```tsx filename="page.tsx" highlight="9-20"
-import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
-import { z } from 'zod';
+```tsx
+// server
+writer.write({
+  type: 'data-notification',
+  data: { message: 'Processing...', level: 'info' },
+  transient: true, // Won't be added to message history
+});
+
+// client
+const [notification, setNotification] = useState();
 
 const { messages } = useChat({
-  chatStore: defaultChatStoreOptions({
-    api: '/api/chat',
-    dataPartSchemas: {
-      weather: z.object({
-        city: z.string(),
-        weather: z.string().optional(),
-        status: z.enum(['loading', 'success']),
-      }),
-    },
-  }),
+  onData: ({ data, type }) => {
+    if (type === 'data-notification') {
+      setNotification({ message: data.message, level: data.level });
+    }
+  },
+});
+```
+
+## Data Part Reconciliation
+
+When you write to a data part with the same ID, the client automatically reconciles and updates that part. This enables powerful dynamic experiences like:
+
+- **Collaborative artifacts** - Update code, documents, or designs in real-time
+- **Progressive data loading** - Show loading states that transform into final results
+- **Live status updates** - Update progress bars, counters, or status indicators
+- **Interactive components** - Build UI elements that evolve based on user interaction
+
+The reconciliation happens automatically - simply use the same `id` when writing to the stream.
+
+## Processing Data on the Client
+
+### Using the onData Callback
+
+The `onData` callback is essential for handling streaming data, especially transient parts:
+
+```tsx filename="page.tsx"
+import { useChat } from '@ai-sdk/react';
+import { MyUIMessage } from '@/ai/types';
+
+const { messages } = useChat<MyUIMessage>({
+  api: '/api/chat',
+  onData: dataPart => {
+    // Handle all data parts as they arrive (including transient parts)
+    console.log('Received data part:', dataPart);
+
+    // Handle different data part types
+    if (dataPart.type === 'data-weather') {
+      console.log('Weather update:', dataPart.data);
+    }
+
+    // Handle transient notifications (ONLY available here, not in message.parts)
+    if (dataPart.type === 'data-notification') {
+      showToast(dataPart.data.message, dataPart.data.level);
+    }
+  },
 });
+```
+
+**Important:** Transient data parts are **only** available through the `onData` callback. They will not appear in the `message.parts` array since they're not added to message history.
+
+### Rendering Persistent Data Parts
 
+You can filter and render data parts from the message parts array:
+
+```tsx filename="page.tsx"
 const result = (
   <>
     {messages?.map(message => (
       <div key={message.id}>
+        {/* Render weather data parts */}
         {message.parts
           .filter(part => part.type === 'data-weather')
           .map((part, index) => (
-            <div key={index}>
+            <div key={index} className="weather-widget">
               {part.data.status === 'loading' ? (
                 <>Getting weather for {part.data.city}...</>
               ) : (
@@ -229,52 +245,67 @@ const result = (
               )}
             </div>
           ))}
+
+        {/* Render text content */}
         {message.parts
           .filter(part => part.type === 'text')
           .map((part, index) => (
             <div key={index}>{part.text}</div>
           ))}
+
+        {/* Render sources */}
+        {message.parts
+          .filter(part => part.type === 'source')
+          .map((part, index) => (
+            <div key={index} className="source">
+              Source: <a href={part.url}>{part.title}</a>
+            </div>
+          ))}
       </div>
     ))}
   </>
 );
 ```
 
-#### Example: Complete Chat with Data Parts
+### Complete Example
 
 ```tsx filename="page.tsx"
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
-import { z } from 'zod';
+import { useState } from 'react';
+import { MyUIMessage } from '@/ai/types';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit } = useChat({
-    chatStore: defaultChatStoreOptions({
-      api: '/api/chat',
-      dataPartSchemas: {
-        weather: z.object({
-          city: z.string(),
-          weather: z.string().optional(),
-          status: z.enum(['loading', 'success']),
-        }),
-      },
-    }),
+  const [input, setInput] = useState('');
+
+  const { messages, sendMessage } = useChat<MyUIMessage>({
+    api: '/api/chat',
+    onData: dataPart => {
+      // Handle transient notifications
+      if (dataPart.type === 'data-notification') {
+        console.log('Notification:', dataPart.data.message);
+      }
+    },
   });
 
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    sendMessage({ text: input });
+    setInput('');
+  };
+
   return (
     <>
       {messages?.map(message => (
         <div key={message.id}>
           {message.role === 'user' ? 'User: ' : 'AI: '}
+
+          {/* Render weather data */}
           {message.parts
             .filter(part => part.type === 'data-weather')
             .map((part, index) => (
-              <span
-                key={index}
-                style={{ border: '1px solid blue', padding: '4px' }}
-              >
+              <span key={index} className="weather-update">
                 {part.data.status === 'loading' ? (
                   <>Getting weather for {part.data.city}...</>
                 ) : (
@@ -284,6 +315,8 @@ export default function Chat() {
                 )}
               </span>
             ))}
+
+          {/* Render text content */}
           {message.parts
             .filter(part => part.type === 'text')
             .map((part, index) => (
@@ -293,9 +326,71 @@ export default function Chat() {
       ))}
 
       <form onSubmit={handleSubmit}>
-        <input value={input} onChange={handleInputChange} />
+        <input
+          value={input}
+          onChange={e => setInput(e.target.value)}
+          placeholder="Ask about the weather..."
+        />
+        <button type="submit">Send</button>
       </form>
     </>
   );
 }
 ```
+
+## Use Cases
+
+- **RAG Applications** - Stream sources and retrieved documents
+- **Real-time Status** - Show loading states and progress updates
+- **Collaborative Tools** - Stream live updates to shared artifacts
+- **Analytics** - Send usage data without cluttering message history
+- **Notifications** - Display temporary alerts and status messages
+
+## Message Metadata vs Data Parts
+
+Both [message metadata](/docs/ai-sdk-ui/message-metadata) and data parts allow you to send additional information alongside messages, but they serve different purposes:
+
+### Message Metadata
+
+Message metadata is best for **message-level information** that describes the message as a whole:
+
+- Attached at the message level via `message.metadata`
+- Sent using the `messageMetadata` callback in `toUIMessageStreamResponse`
+- Ideal for: timestamps, model info, token usage, user context
+- Type-safe with custom metadata types
+
+```ts
+// Server: Send metadata about the message
+return result.toUIMessageStreamResponse({
+  messageMetadata: ({ part }) => {
+    if (part.type === 'finish') {
+      return {
+        model: part.response.modelId,
+        totalTokens: part.totalUsage.totalTokens,
+        createdAt: Date.now(),
+      };
+    }
+  },
+});
+```
+
+### Data Parts
+
+Data parts are best for streaming **dynamic arbitrary data**:
+
+- Added to the message parts array via `message.parts`
+- Streamed using `createUIMessageStream` and `writer.write()`
+- Can be reconciled/updated using the same ID
+- Support transient parts that don't persist
+- Ideal for: dynamic content, loading states, interactive components
+
+```ts
+// Server: Stream data as part of message content
+writer.write({
+  type: 'data-weather',
+  id: 'weather-1',
+  data: { city: 'San Francisco', status: 'loading' },
+});
+```
+
+For more details on message metadata, see the [Message Metadata documentation](/docs/ai-sdk-ui/message-metadata).
diff --git a/content/docs/04-ai-sdk-ui/21-error-handling.mdx b/content/docs/04-ai-sdk-ui/21-error-handling.mdx
index 454ed9998aa5..d887a7bf3668 100644
--- a/content/docs/04-ai-sdk-ui/21-error-handling.mdx
+++ b/content/docs/04-ai-sdk-ui/21-error-handling.mdx
@@ -20,15 +20,17 @@ You can use the error object to show an error message, disable the submit button
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const { messages, input, handleInputChange, handleSubmit, error, reload } =
-    useChat({
-      chatStore: defaultChatStoreOptions({
-        api: '/api/chat',
-      }),
-    });
+  const [input, setInput] = useState('');
+  const { messages, sendMessage, error, regenerate } = useChat();
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    sendMessage({ text: input });
+    setInput('');
+  };
 
   return (
     <div>
@@ -45,7 +47,7 @@ export default function Chat() {
       {error && (
         <>
           <div>An error occurred.</div>
-          <button type="button" onClick={() => reload()}>
+          <button type="button" onClick={() => regenerate()}>
             Retry
           </button>
         </>
@@ -54,7 +56,7 @@ export default function Chat() {
       <form onSubmit={handleSubmit}>
         <input
           value={input}
-          onChange={handleInputChange}
+          onChange={e => setInput(e.target.value)}
           disabled={error != null}
         />
       </form>
@@ -71,28 +73,21 @@ Alternatively you can write a custom submit handler that replaces the last messa
 'use client';
 
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
+import { useState } from 'react';
 
 export default function Chat() {
-  const {
-    handleInputChange,
-    handleSubmit,
-    error,
-    input,
-    messages,
-    setMessages,
-  } = useChat({
-    chatStore: defaultChatStoreOptions({
-      api: '/api/chat',
-    }),
-  });
+  const [input, setInput] = useState('');
+  const { sendMessage, error, messages, setMessages } = useChat();
 
   function customSubmit(event: React.FormEvent<HTMLFormElement>) {
+    event.preventDefault();
+
     if (error != null) {
       setMessages(messages.slice(0, -1)); // remove last message
     }
 
-    handleSubmit(event);
+    sendMessage({ text: input });
+    setInput('');
   }
 
   return (
@@ -110,7 +105,7 @@ export default function Chat() {
       {error && <div>An error occurred.</div>}
 
       <form onSubmit={customSubmit}>
-        <input value={input} onChange={handleInputChange} />
+        <input value={input} onChange={e => setInput(e.target.value)} />
       </form>
     </div>
   );
@@ -122,21 +117,17 @@ export default function Chat() {
 Errors can be processed by passing an [`onError`](/docs/reference/ai-sdk-ui/use-chat#on-error) callback function as an option to the [`useChat`](/docs/reference/ai-sdk-ui/use-chat) or [`useCompletion`](/docs/reference/ai-sdk-ui/use-completion) hooks.
 The callback function receives an error object as an argument.
 
-```tsx file="app/page.tsx" highlight="10-13"
+```tsx file="app/page.tsx" highlight="6-9"
 import { useChat } from '@ai-sdk/react';
-import { defaultChatStoreOptions } from 'ai';
 
 export default function Page() {
   const {
     /* ... */
   } = useChat({
-    chatStore: defaultChatStoreOptions({
-      api: '/api/chat',
-      // handle error:
-      onError: error => {
-        console.error(error);
-      },
-    }),
+    // handle error:
+    onError: error => {
+      console.error(error);
+    },
   });
 }
 ```
diff --git a/content/docs/04-ai-sdk-ui/21-transport.mdx b/content/docs/04-ai-sdk-ui/21-transport.mdx
new file mode 100644
index 000000000000..242e20afd06c
--- /dev/null
+++ b/content/docs/04-ai-sdk-ui/21-transport.mdx
@@ -0,0 +1,114 @@
+---
+title: Transport
+description: Learn how to use custom transports with useChat.
+---
+
+# Transport
+
+The `useChat` transport system provides fine-grained control over how messages are sent to your API endpoints and how responses are processed. This is particularly useful for alternative communication protocols like WebSockets, custom authentication patterns, or specialized backend integrations.
+
+## Default Transport
+
+By default, `useChat` uses HTTP POST requests to send messages to `/api/chat`:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+
+// Uses default HTTP transport
+const { messages, sendMessage } = useChat();
+```
+
+This is equivalent to:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+  }),
+});
+```
+
+## Custom Transport Configuration
+
+Configure the default transport with custom options:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/custom-chat',
+    headers: {
+      Authorization: 'Bearer your-token',
+      'X-API-Version': '2024-01',
+    },
+    credentials: 'include',
+  }),
+});
+```
+
+### Dynamic Configuration
+
+You can also provide functions that return configuration values. This is useful for authentication tokens that need to be refreshed, or for configuration that depends on runtime conditions:
+
+```tsx
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    headers: () => ({
+      Authorization: `Bearer ${getAuthToken()}`,
+      'X-User-ID': getCurrentUserId(),
+    }),
+    body: () => ({
+      sessionId: getCurrentSessionId(),
+      preferences: getUserPreferences(),
+    }),
+    credentials: () => 'include',
+  }),
+});
+```
+
+### Request Transformation
+
+Transform requests before sending to your API:
+
+```tsx
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    prepareSendMessagesRequest: ({ id, messages, trigger, messageId }) => {
+      return {
+        headers: {
+          'X-Session-ID': id,
+        },
+        body: {
+          messages: messages.slice(-10), // Only send last 10 messages
+          trigger,
+          messageId,
+        },
+      };
+    },
+  }),
+});
+```
+
+## Building Custom Transports
+
+To understand how to build your own transport, refer to the source code of the default implementation:
+
+- **[DefaultChatTransport](https://github.com/vercel/ai/blob/main/packages/ai/src/ui/default-chat-transport.ts)** - The complete default HTTP transport implementation
+- **[HttpChatTransport](https://github.com/vercel/ai/blob/main/packages/ai/src/ui/http-chat-transport.ts)** - Base HTTP transport with request handling
+- **[ChatTransport Interface](https://github.com/vercel/ai/blob/main/packages/ai/src/ui/chat-transport.ts)** - The transport interface you need to implement
+
+These implementations show you exactly how to:
+
+- Handle the `sendMessages` method
+- Process UI message streams
+- Transform requests and responses
+- Handle errors and connection management
+
+The transport system gives you complete control over how your chat application communicates, enabling integration with any backend protocol or service.
diff --git a/content/docs/04-ai-sdk-ui/22-smooth-stream-japanese.mdx b/content/docs/04-ai-sdk-ui/22-smooth-stream-japanese.mdx
deleted file mode 100644
index 44b4aa1f25ab..000000000000
--- a/content/docs/04-ai-sdk-ui/22-smooth-stream-japanese.mdx
+++ /dev/null
@@ -1,20 +0,0 @@
----
-title: Smooth streaming japanese text
-description: Learn how to stream smooth stream japanese text
----
-
-# Smooth streaming japanese text
-
-You can smooth stream japanese text by using the `smoothStream` function with `streamText`, and the following regex that splits either on words of japanese characters:
-
-```tsx filename="page.tsx"
-import { smoothStream, streamText } from 'ai';
-
-const result = streamText({
-  model: 'openai/gpt-4.1',
-  prompt: 'Your prompt here',
-  experimental_transform: smoothStream({
-    chunking: /[\u3040-\u309F\u30A0-\u30FF]|\S+\s+/,
-  }),
-});
-```
diff --git a/content/docs/04-ai-sdk-ui/23-smooth-stream-chinese.mdx b/content/docs/04-ai-sdk-ui/23-smooth-stream-chinese.mdx
deleted file mode 100644
index 628c0130309a..000000000000
--- a/content/docs/04-ai-sdk-ui/23-smooth-stream-chinese.mdx
+++ /dev/null
@@ -1,20 +0,0 @@
----
-title: Smooth streaming chinese text
-description: Learn how to stream smooth stream chinese text
----
-
-# Smooth streaming chinese text
-
-You can smooth stream chinese text by using the `smoothStream` function with `streamText`, and the following regex that splits either on words of chinese characters:
-
-```tsx filename="page.tsx"
-import { smoothStream, streamText } from 'ai';
-
-const result = streamText({
-  model: 'openai/gpt-4.1',
-  prompt: 'Your prompt here',
-  experimental_transform: smoothStream({
-    chunking: /[\u4E00-\u9FFF]|\S+\s+/,
-  }),
-});
-```
diff --git a/content/docs/04-ai-sdk-ui/24-reading-ui-message-streams.mdx b/content/docs/04-ai-sdk-ui/24-reading-ui-message-streams.mdx
new file mode 100644
index 000000000000..6645bb88ddba
--- /dev/null
+++ b/content/docs/04-ai-sdk-ui/24-reading-ui-message-streams.mdx
@@ -0,0 +1,103 @@
+---
+title: Reading UIMessage Streams
+description: Learn how to read UIMessage streams.
+---
+
+# Reading UI Message Streams
+
+`UIMessage` streams are useful outside of traditional chat use cases. You can consume them for terminal UIs, custom stream processing on the client, or React Server Components (RSC).
+
+The `readUIMessageStream` helper transforms a stream of `UIMessageChunk` objects into an `AsyncIterableStream` of `UIMessage` objects, allowing you to process messages as they're being constructed.
+
+## Basic Usage
+
+```tsx
+import { openai } from '@ai-sdk/openai';
+import { readUIMessageStream, streamText } from 'ai';
+
+async function main() {
+  const result = streamText({
+    model: openai('gpt-4o'),
+    prompt: 'Write a short story about a robot.',
+  });
+
+  for await (const uiMessage of readUIMessageStream({
+    stream: result.toUIMessageStream(),
+  })) {
+    console.log('Current message state:', uiMessage);
+  }
+}
+```
+
+## Tool Calls Integration
+
+Handle streaming responses that include tool calls:
+
+```tsx
+import { openai } from '@ai-sdk/openai';
+import { readUIMessageStream, streamText, tool } from 'ai';
+import { z } from 'zod';
+
+async function handleToolCalls() {
+  const result = streamText({
+    model: openai('gpt-4o'),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: ({ location }) => ({
+          location,
+          temperature: 72 + Math.floor(Math.random() * 21) - 10,
+        }),
+      }),
+    },
+    prompt: 'What is the weather in Tokyo?',
+  });
+
+  for await (const uiMessage of readUIMessageStream({
+    stream: result.toUIMessageStream(),
+  })) {
+    // Handle different part types
+    uiMessage.parts.forEach(part => {
+      switch (part.type) {
+        case 'text':
+          console.log('Text:', part.text);
+          break;
+        case 'tool-call':
+          console.log('Tool called:', part.toolName, 'with args:', part.args);
+          break;
+        case 'tool-result':
+          console.log('Tool result:', part.result);
+          break;
+      }
+    });
+  }
+}
+```
+
+## Resuming Conversations
+
+Resume streaming from a previous message state:
+
+```tsx
+import { readUIMessageStream, streamText } from 'ai';
+
+async function resumeConversation(lastMessage: UIMessage) {
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: [
+      { role: 'user', content: 'Continue our previous conversation.' },
+    ],
+  });
+
+  // Resume from the last message
+  for await (const uiMessage of readUIMessageStream({
+    stream: result.toUIMessageStream(),
+    message: lastMessage, // Resume from this message
+  })) {
+    console.log('Resumed message:', uiMessage);
+  }
+}
+```
diff --git a/content/docs/04-ai-sdk-ui/25-message-metadata.mdx b/content/docs/04-ai-sdk-ui/25-message-metadata.mdx
new file mode 100644
index 000000000000..649954eb5f69
--- /dev/null
+++ b/content/docs/04-ai-sdk-ui/25-message-metadata.mdx
@@ -0,0 +1,152 @@
+---
+title: Message Metadata
+description: Learn how to attach and use metadata with messages in AI SDK UI
+---
+
+# Message Metadata
+
+Message metadata allows you to attach custom information to messages at the message level. This is useful for tracking timestamps, model information, token usage, user context, and other message-level data.
+
+## Overview
+
+Message metadata differs from [data parts](/docs/ai-sdk-ui/streaming-data) in that it's attached at the message level rather than being part of the message content. While data parts are ideal for dynamic content that forms part of the message, metadata is perfect for information about the message itself.
+
+## Getting Started
+
+Here's a simple example of using message metadata to track timestamps and model information:
+
+### Defining Metadata Types
+
+First, define your metadata type for type safety:
+
+```tsx filename="app/types.ts"
+import { UIMessage } from 'ai';
+import { z } from 'zod';
+
+// Define your metadata schema
+export const messageMetadataSchema = z.object({
+  createdAt: z.number().optional(),
+  model: z.string().optional(),
+  totalTokens: z.number().optional(),
+});
+
+export type MessageMetadata = z.infer<typeof messageMetadataSchema>;
+
+// Create a typed UIMessage
+export type MyUIMessage = UIMessage<MessageMetadata>;
+```
+
+### Sending Metadata from the Server
+
+Use the `messageMetadata` callback in `toUIMessageStreamResponse` to send metadata at different streaming stages:
+
+```ts filename="app/api/chat/route.ts" highlight="11-20"
+import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamText } from 'ai';
+import { MyUIMessage } from '@/types';
+
+export async function POST(req: Request) {
+  const { messages }: { messages: MyUIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages, // pass this in for type-safe return objects
+    messageMetadata: ({ part }) => {
+      // Send metadata when streaming starts
+      if (part.type === 'start') {
+        return {
+          createdAt: Date.now(),
+          model: 'gpt-4o',
+        };
+      }
+
+      // Send additional metadata when streaming completes
+      if (part.type === 'finish') {
+        return {
+          totalTokens: part.totalUsage.totalTokens,
+        };
+      }
+    },
+  });
+}
+```
+
+<Note>
+  To enable type-safe metadata return object in `messageMetadata`, pass in the
+  `originalMessages` parameter typed to your UIMessage type.
+</Note>
+
+### Accessing Metadata on the Client
+
+Access metadata through the `message.metadata` property:
+
+```tsx filename="app/page.tsx" highlight="8,18-23"
+'use client';
+
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+import { MyUIMessage } from '@/types';
+
+export default function Chat() {
+  const { messages } = useChat<MyUIMessage>({
+    transport: new DefaultChatTransport({
+      api: '/api/chat',
+    }),
+  });
+
+  return (
+    <div>
+      {messages.map(message => (
+        <div key={message.id}>
+          <div>
+            {message.role === 'user' ? 'User: ' : 'AI: '}
+            {message.metadata?.createdAt && (
+              <span className="text-sm text-gray-500">
+                {new Date(message.metadata.createdAt).toLocaleTimeString()}
+              </span>
+            )}
+          </div>
+
+          {/* Render message content */}
+          {message.parts.map((part, index) =>
+            part.type === 'text' ? <div key={index}>{part.text}</div> : null,
+          )}
+
+          {/* Display additional metadata */}
+          {message.metadata?.totalTokens && (
+            <div className="text-xs text-gray-400">
+              {message.metadata.totalTokens} tokens
+            </div>
+          )}
+        </div>
+      ))}
+    </div>
+  );
+}
+```
+
+<Note>
+  For streaming arbitrary data that changes during generation, consider using
+  [data parts](/docs/ai-sdk-ui/streaming-data) instead.
+</Note>
+
+## Common Use Cases
+
+Message metadata is ideal for:
+
+- **Timestamps**: When messages were created or completed
+- **Model Information**: Which AI model was used
+- **Token Usage**: Track costs and usage limits
+- **User Context**: User IDs, session information
+- **Performance Metrics**: Generation time, time to first token
+- **Quality Indicators**: Finish reason, confidence scores
+
+## See Also
+
+- [Chatbot Guide](/docs/ai-sdk-ui/chatbot#message-metadata) - Message metadata in the context of building chatbots
+- [Streaming Data](/docs/ai-sdk-ui/streaming-data#message-metadata-vs-data-parts) - Comparison with data parts
+- [UIMessage Reference](/docs/reference/ai-sdk-core/ui-message) - Complete UIMessage type reference
diff --git a/content/docs/04-ai-sdk-ui/50-stream-protocol.mdx b/content/docs/04-ai-sdk-ui/50-stream-protocol.mdx
index e4308325f82b..357913a286dc 100644
--- a/content/docs/04-ai-sdk-ui/50-stream-protocol.mdx
+++ b/content/docs/04-ai-sdk-ui/50-stream-protocol.mdx
@@ -37,39 +37,65 @@ a streaming HTTP response is returned.
 
 Here is a Next.js example that uses the text stream protocol:
 
-```tsx filename='app/page.tsx' highlight="7"
+```tsx filename='app/page.tsx'
 'use client';
 
-import { useCompletion } from '@ai-sdk/react';
+import { useChat } from '@ai-sdk/react';
+import { TextStreamChatTransport } from 'ai';
+import { useState } from 'react';
 
-export default function Page() {
-  const { completion, input, handleInputChange, handleSubmit } = useCompletion({
-    streamProtocol: 'text',
+export default function Chat() {
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat({
+    transport: new TextStreamChatTransport({ api: '/api/chat' }),
   });
 
   return (
-    <form onSubmit={handleSubmit}>
-      <input name="prompt" value={input} onChange={handleInputChange} />
-      <button type="submit">Submit</button>
-      <div>{completion}</div>
-    </form>
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages.map(message => (
+        <div key={message.id} className="whitespace-pre-wrap">
+          {message.role === 'user' ? 'User: ' : 'AI: '}
+          {message.parts.map((part, i) => {
+            switch (part.type) {
+              case 'text':
+                return <div key={`${message.id}-${i}`}>{part.text}</div>;
+            }
+          })}
+        </div>
+      ))}
+
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
+        <input
+          className="fixed dark:bg-zinc-900 bottom-0 w-full max-w-md p-2 mb-8 border border-zinc-300 dark:border-zinc-800 rounded shadow-xl"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.currentTarget.value)}
+        />
+      </form>
+    </div>
   );
 }
 ```
 
-```ts filename='app/api/completion/route.ts' highlight="15"
-import { streamText } from 'ai';
+```ts filename='app/api/chat/route.ts'
+import { streamText, UIMessage, convertToModelMessages } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  const { prompt }: { prompt: string } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
-    prompt,
+    messages: convertToModelMessages(messages),
   });
 
   return result.toTextStreamResponse();
@@ -80,186 +106,249 @@ export async function POST(req: Request) {
 
 A data stream follows a special protocol that the AI SDK provides to send information to the frontend.
 
-Each stream part has the format `TYPE_ID:CONTENT_JSON\n`.
-
-<MDXImage
-  srcLight="/images/data-stream-protocol.png"
-  srcDark="/images/data-stream-protocol.png"
-  width={3200}
-  height={1712}
-/>
+The data stream protocol uses Server-Sent Events (SSE) format for improved standardization, keep-alive through ping, reconnect capabilities, and better cache handling.
 
 <Note>
   When you provide data streams from a custom backend, you need to set the
-  `x-vercel-ai-data-stream` header to `v1`.
+  `x-vercel-ai-ui-message-stream` header to `v1`.
 </Note>
 
 The following stream parts are currently supported:
 
-### Text Part
+### Message Start Part
+
+Indicates the beginning of a new message with metadata.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"start","messageId":"..."}
+
+```
+
+### Text Parts
+
+Text content is streamed using a start/delta/end pattern with unique IDs for each text block.
+
+#### Text Start Part
+
+Indicates the beginning of a text block.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"text-start","id":"msg_68679a454370819ca74c8eb3d04379630dd1afb72306ca5d"}
+
+```
+
+#### Text Delta Part
+
+Contains incremental text content for the text block.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"text-delta","id":"msg_68679a454370819ca74c8eb3d04379630dd1afb72306ca5d","delta":"Hello"}
+
+```
+
+#### Text End Part
+
+Indicates the completion of a text block.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"text-end","id":"msg_68679a454370819ca74c8eb3d04379630dd1afb72306ca5d"}
+
+```
+
+### Reasoning Parts
+
+Reasoning content is streamed using a start/delta/end pattern with unique IDs for each reasoning block.
+
+#### Reasoning Start Part
+
+Indicates the beginning of a reasoning block.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"reasoning-start","id":"reasoning_123"}
+
+```
+
+#### Reasoning Delta Part
+
+Contains incremental reasoning content for the reasoning block.
+
+Format: Server-Sent Event with JSON object
 
-The text parts are appended to the message as they are received.
+Example:
 
-Format: `0:string\n`
+```
+data: {"type":"reasoning-delta","id":"reasoning_123","delta":"This is some reasoning"}
+
+```
 
-Example: `0:"example"\n`
+#### Reasoning End Part
 
-<MDXImage
-  srcLight="/images/text-part.png"
-  srcDark="/images/text-part.png"
-  width={3200}
-  height={1148}
-/>
+Indicates the completion of a reasoning block.
 
-### Reasoning Part
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"reasoning-end","id":"reasoning_123"}
 
-The reasoning parts are appended to the message as they are received. The reasoning part is available through `reasoning`.
+```
 
-Format: `g:string\n`
+### Source Parts
 
-Example: `g:"I will open the conversation with witty banter."\n`
+Source parts provide references to external content sources.
 
-### Redacted Reasoning Part
+#### Source URL Part
 
-The redacted reasoning parts contain reasoning data that has been redacted. This is available through `redacted_reasoning`.
+References to external URLs.
 
-Format: `i:{"data": string}\n`
+Format: Server-Sent Event with JSON object
 
-Example: `i:{"data": "This reasoning has been redacted for security purposes."}\n`
+Example:
 
-### Reasoning Signature Part
+```
+data: {"type":"source-url","sourceId":"https://example.com","url":"https://example.com"}
 
-The reasoning signature parts contain a signature associated with the reasoning. This is available through `reasoning_signature`.
+```
 
-Format: `j:{"signature": string}\n`
+#### Source Document Part
 
-Example: `j:{"signature": "abc123xyz"}\n`
+References to documents or files.
 
-### Source Part
+Format: Server-Sent Event with JSON object
 
-The source parts are appended to the message as they are received. The source part is available through `source`.
+Example:
 
-Format: `h:Source\n`
+```
+data: {"type":"source-document","sourceId":"https://example.com","mediaType":"file","title":"Title"}
 
-Example: `h:{"sourceType":"url","id":"source-id","url":"https://example.com","title":"Example"}\n`
+```
 
 ### File Part
 
-The file parts contain binary data encoded as base64 strings along with their MIME type. The file part is available through `file`.
+The file parts contain references to files with their media type.
 
-Format: `k:{data:string; mimeType:string}\n`
+Format: Server-Sent Event with JSON object
 
-Example: `k:{"data":"base64EncodedData","mimeType":"image/png"}\n`
+Example:
 
-### Data Part
+```
+data: {"type":"file","url":"https://example.com/file.png","mediaType":"image/png"}
 
-The data parts are parsed as JSON and appended to the data array as they are received. The data is available through `data`.
+```
 
-Format: `2:Array<JSONValue>\n`
+### Data Parts
 
-Example: `2:[{"key":"object1"},{"anotherKey":"object2"}]\n`
+Custom data parts allow streaming of arbitrary structured data with type-specific handling.
 
-<MDXImage
-  srcLight="/images/data-part.png"
-  srcDark="/images/data-part.png"
-  width={3200}
-  height={1148}
-/>
+Format: Server-Sent Event with JSON object where the type includes a custom suffix
 
-### Message Annotation Part
+Example:
 
-The message annotation parts are appended to the message as they are received. The annotation part is available through `annotations`.
+```
+data: {"type":"data-weather","data":{"location":"SF","temperature":100}}
 
-Format: `8:Array<JSONValue>\n`
+```
 
-Example: `8:[{"id":"message-123","other":"annotation"}]\n`
+The `data-*` type pattern allows you to define custom data types that your frontend can handle specifically.
 
 ### Error Part
 
 The error parts are appended to the message as they are received.
 
-Format: `3:string\n`
+Format: Server-Sent Event with JSON object
 
-Example: `3:"error message"\n`
+Example:
 
-<MDXImage
-  srcLight="/images/error-part.png"
-  srcDark="/images/error-part.png"
-  width={3200}
-  height={1148}
-/>
+```
+data: {"type":"error","errorText":"error message"}
+
+```
 
-### Tool Call Streaming Start Part
+### Tool Input Start Part
 
-A part indicating the start of a streaming tool call. This part needs to be sent before any tool call delta for that tool call. Tool call streaming is optional, you can use tool call and tool result parts without it.
+Indicates the beginning of tool input streaming.
 
-Format: `b:{toolCallId:string; toolName:string}\n`
+Format: Server-Sent Event with JSON object
 
-Example: `b:{"toolCallId":"call-456","toolName":"streaming-tool"}\n`
+Example:
 
-<MDXImage
-  srcLight="/images/tool-call-streaming-start-part.png"
-  srcDark="/images/tool-call-streaming-start-part.png"
-  width={3200}
-  height={1148}
-/>
+```
+data: {"type":"tool-input-start","toolCallId":"call_fJdQDqnXeGxTmr4E3YPSR7Ar","toolName":"getWeatherInformation"}
 
-### Tool Call Delta Part
+```
 
-A part representing a delta update for a streaming tool call.
+### Tool Input Delta Part
 
-Format: `c:{toolCallId:string; argsTextDelta:string}\n`
+Incremental chunks of tool input as it's being generated.
 
-Example: `c:{"toolCallId":"call-456","argsTextDelta":"partial arg"}\n`
+Format: Server-Sent Event with JSON object
 
-<MDXImage
-  srcLight="/images/tool-call-delta-part.png"
-  srcDark="/images/tool-call-delta-part.png"
-  width={3200}
-  height={1148}
-/>
+Example:
 
-### Tool Call Part
+```
+data: {"type":"tool-input-delta","toolCallId":"call_fJdQDqnXeGxTmr4E3YPSR7Ar","inputTextDelta":"San Francisco"}
 
-A part representing a tool call. When there are streamed tool calls, the tool call part needs to come after the tool call streaming is finished.
+```
 
-Format: `9:{toolCallId:string; toolName:string; args:object}\n`
+### Tool Input Available Part
 
-Example: `9:{"toolCallId":"call-123","toolName":"my-tool","args":{"some":"argument"}}\n`
+Indicates that tool input is complete and ready for execution.
 
-<MDXImage
-  srcLight="/images/tool-call-part.png"
-  srcDark="/images/tool-call-part.png"
-  width={3200}
-  height={1148}
-/>
+Format: Server-Sent Event with JSON object
 
-### Tool Result Part
+Example:
 
-A part representing a tool result. The result part needs to be sent after the tool call part for that tool call.
+```
+data: {"type":"tool-input-available","toolCallId":"call_fJdQDqnXeGxTmr4E3YPSR7Ar","toolName":"getWeatherInformation","input":{"city":"San Francisco"}}
 
-Format: `a:{toolCallId:string; result:object}\n`
+```
 
-Example: `a:{"toolCallId":"call-123","result":"tool output"}\n`
+### Tool Output Available Part
 
-<MDXImage
-  srcLight="/images/tool-result-part.png"
-  srcDark="/images/tool-result-part.png"
-  width={3200}
-  height={1148}
-/>
+Contains the result of tool execution.
+
+Format: Server-Sent Event with JSON object
+
+Example:
+
+```
+data: {"type":"tool-output-available","toolCallId":"call_fJdQDqnXeGxTmr4E3YPSR7Ar","output":{"city":"San Francisco","weather":"sunny"}}
+
+```
 
 ### Start Step Part
 
 A part indicating the start of a step.
 
-It includes the following metadata:
+Format: Server-Sent Event with JSON object
 
-- `messageId` to indicate the id of the message that this step belongs to.
+Example:
 
-Format: `f:{messageId:string}\n`
+```
+data: {"type":"start-step"}
 
-Example: `f:{"messageId":"step_123"}\n`
+```
 
 ### Finish Step Part
 
@@ -267,76 +356,107 @@ A part indicating that a step (i.e., one LLM API call in the backend) has been c
 
 This part is necessary to correctly process multiple stitched assistant calls, e.g. when calling tools in the backend, and using steps in `useChat` at the same time.
 
-It includes the following metadata:
-
-- [`FinishReason`](/docs/reference/ai-sdk-ui/use-chat#on-finish-finish-reason)
-- [`Usage`](/docs/reference/ai-sdk-ui/use-chat#on-finish-usage) for that step.
-- `isContinued` to indicate if the step text will be continued in the next step.
+Format: Server-Sent Event with JSON object
 
-The finish step part needs to come at the end of a step.
+Example:
 
-Format: `e:{finishReason:'stop' | 'length' | 'content-filter' | 'tool-calls' | 'error' | 'other' | 'unknown';usage:{promptTokens:number; completionTokens:number;},isContinued:boolean}\n`
+```
+data: {"type":"finish-step"}
 
-Example: `e:{"finishReason":"stop","usage":{"promptTokens":10,"completionTokens":20},"isContinued":false}\n`
+```
 
 ### Finish Message Part
 
-A part indicating the completion of a message with additional metadata, such as [`FinishReason`](/docs/reference/ai-sdk-ui/use-chat#on-finish-finish-reason) and [`Usage`](/docs/reference/ai-sdk-ui/use-chat#on-finish-usage). This part needs to be the last part in the stream.
+A part indicating the completion of a message.
 
-Format: `d:{finishReason:'stop' | 'length' | 'content-filter' | 'tool-calls' | 'error' | 'other' | 'unknown';usage:{promptTokens:number; completionTokens:number;}}\n`
+Format: Server-Sent Event with JSON object
 
-Example: `d:{"finishReason":"stop","usage":{"promptTokens":10,"completionTokens":20}}\n`
+Example:
 
-<MDXImage
-  srcLight="/images/finish-message-part.png"
-  srcDark="/images/finish-message-part.png"
-  width={3200}
-  height={1148}
-/>
+```
+data: {"type":"finish"}
+
+```
+
+### Stream Termination
+
+The stream ends with a special `[DONE]` marker.
+
+Format: Server-Sent Event with literal `[DONE]`
+
+Example:
+
+```
+data: [DONE]
+
+```
 
 The data stream protocol is supported
 by `useChat` and `useCompletion` on the frontend and used by default.
 `useCompletion` only supports the `text` and `data` stream parts.
 
-On the backend, you can use `toDataStreamResponse()` from the `streamText` result object to return a streaming HTTP response.
+On the backend, you can use `toUIMessageStreamResponse()` from the `streamText` result object to return a streaming HTTP response.
 
-### Data Stream Example
+### UI Message Stream Example
 
-Here is a Next.js example that uses the data stream protocol:
+Here is a Next.js example that uses the UI message stream protocol:
 
-```tsx filename='app/page.tsx' highlight="7"
+```tsx filename='app/page.tsx'
 'use client';
 
-import { useCompletion } from '@ai-sdk/react';
+import { useChat } from '@ai-sdk/react';
+import { useState } from 'react';
 
-export default function Page() {
-  const { completion, input, handleInputChange, handleSubmit } = useCompletion({
-    streamProtocol: 'data', // optional, this is the default
-  });
+export default function Chat() {
+  const [input, setInput] = useState('');
+  const { messages, sendMessage } = useChat();
 
   return (
-    <form onSubmit={handleSubmit}>
-      <input name="prompt" value={input} onChange={handleInputChange} />
-      <button type="submit">Submit</button>
-      <div>{completion}</div>
-    </form>
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages.map(message => (
+        <div key={message.id} className="whitespace-pre-wrap">
+          {message.role === 'user' ? 'User: ' : 'AI: '}
+          {message.parts.map((part, i) => {
+            switch (part.type) {
+              case 'text':
+                return <div key={`${message.id}-${i}`}>{part.text}</div>;
+            }
+          })}
+        </div>
+      ))}
+
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
+        <input
+          className="fixed dark:bg-zinc-900 bottom-0 w-full max-w-md p-2 mb-8 border border-zinc-300 dark:border-zinc-800 rounded shadow-xl"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.currentTarget.value)}
+        />
+      </form>
+    </div>
   );
 }
 ```
 
-```ts filename='app/api/completion/route.ts' highlight="15"
-import { streamText } from 'ai';
+```ts filename='app/api/chat/route.ts'
 import { openai } from '@ai-sdk/openai';
+import { streamText, UIMessage, convertToModelMessages } from 'ai';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  const { prompt }: { prompt: string } = await req.json();
+  const { messages }: { messages: UIMessage[] } = await req.json();
 
   const result = streamText({
     model: openai('gpt-4o'),
-    prompt,
+    messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse();
diff --git a/content/docs/04-ai-sdk-ui/index.mdx b/content/docs/04-ai-sdk-ui/index.mdx
index bda55e4e6c10..cd73333424ca 100644
--- a/content/docs/04-ai-sdk-ui/index.mdx
+++ b/content/docs/04-ai-sdk-ui/index.mdx
@@ -43,6 +43,11 @@ description: Learn about the AI SDK UI.
       description: 'Learn how to stream data.',
       href: '/docs/ai-sdk-ui/streaming-data'
     },
+    {
+      title: 'Reading UI Message Streams',
+      description: 'Learn how to read UIMessage streams for terminal UIs, custom clients, and server components.',
+      href: '/docs/ai-sdk-ui/reading-ui-message-streams'
+    },
     {
       title: 'Error Handling',
       description: 'Learn how to handle errors.',
diff --git a/content/docs/06-advanced/02-stopping-streams.mdx b/content/docs/06-advanced/02-stopping-streams.mdx
index 422f2080ea14..96877a3b6ede 100644
--- a/content/docs/06-advanced/02-stopping-streams.mdx
+++ b/content/docs/06-advanced/02-stopping-streams.mdx
@@ -16,7 +16,7 @@ The AI SDK functions have an `abortSignal` argument that you can use to cancel a
 You would use this if you want to cancel a stream from the server side to the LLM API, e.g. by
 forwarding the `abortSignal` from the request.
 
-```tsx highlight="10,11"
+```tsx highlight="10,11,12-16"
 import { openai } from '@ai-sdk/openai';
 import { streamText } from 'ai';
 
@@ -28,6 +28,11 @@ export async function POST(req: Request) {
     prompt,
     // forward the abort signal:
     abortSignal: req.signal,
+    onAbort: ({ steps }) => {
+      // Handle cleanup when stream is aborted
+      console.log('Stream aborted after', steps.length, 'steps');
+      // Persist partial results to database
+    },
   });
 
   return result.toTextStreamResponse();
@@ -64,6 +69,105 @@ export default function Chat() {
 }
 ```
 
+## Handling stream abort cleanup
+
+When streams are aborted, you may need to perform cleanup operations such as persisting partial results or cleaning up resources. The `onAbort` callback provides a way to handle these scenarios on the server side.
+
+Unlike `onFinish`, which is called when a stream completes normally, `onAbort` is specifically called when a stream is aborted via `AbortSignal`. This distinction allows you to handle normal completion and aborted streams differently.
+
+<Note>
+  For UI message streams (`toUIMessageStreamResponse`), the `onFinish` callback
+  also receives an `isAborted` parameter that indicates whether the stream was
+  aborted. This allows you to handle both completion and abort scenarios in a
+  single callback.
+</Note>
+
+```tsx highlight="8-12"
+import { streamText } from 'ai';
+
+const result = streamText({
+  model: openai('gpt-4.1'),
+  prompt: 'Write a long story...',
+  abortSignal: controller.signal,
+  onAbort: ({ steps }) => {
+    // Called when stream is aborted - persist partial results
+    await savePartialResults(steps);
+    await logAbortEvent(steps.length);
+  },
+  onFinish: ({ steps, totalUsage }) => {
+    // Called when stream completes normally
+    await saveFinalResults(steps, totalUsage);
+  },
+});
+```
+
+The `onAbort` callback receives:
+
+- `steps`: Array of all completed steps before the abort occurred
+
+This is particularly useful for:
+
+- Persisting partial conversation history to database
+- Saving partial progress for later continuation
+- Cleaning up server-side resources or connections
+- Logging abort events for analytics
+
+You can also handle abort events directly in the stream using the `abort` stream part:
+
+```tsx highlight="8-12"
+for await (const part of result.fullStream) {
+  switch (part.type) {
+    case 'text-delta':
+      // Handle text delta content
+      break;
+    case 'abort':
+      // Handle abort event directly in stream
+      console.log('Stream was aborted');
+      break;
+    // ... other cases
+  }
+}
+```
+
+## UI Message Streams
+
+When using `toUIMessageStreamResponse`, you need to handle stream abortion slightly differently. The `onFinish` callback receives an `isAborted` parameter, and you should pass the `consumeStream` function to ensure proper abort handling:
+
+```tsx highlight="5,19,20-24,26"
+import { openai } from '@ai-sdk/openai';
+import {
+  consumeStream,
+  convertToModelMessages,
+  streamText,
+  UIMessage,
+} from 'ai';
+
+export async function POST(req: Request) {
+  const { messages }: { messages: UIMessage[] } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    abortSignal: req.signal,
+  });
+
+  return result.toUIMessageStreamResponse({
+    onFinish: async ({ isAborted }) => {
+      if (isAborted) {
+        console.log('Stream was aborted');
+        // Handle abort-specific cleanup
+      } else {
+        console.log('Stream completed normally');
+        // Handle normal completion
+      }
+    },
+    consumeSseStream: consumeStream,
+  });
+}
+```
+
+The `consumeStream` function is necessary for proper abort handling in UI message streams. It ensures that the stream is properly consumed even when aborted, preventing potential memory leaks or hanging connections.
+
 ## AI SDK RSC
 
 <Note type="warning">
diff --git a/content/docs/07-reference/01-ai-sdk-core/01-generate-text.mdx b/content/docs/07-reference/01-ai-sdk-core/01-generate-text.mdx
index 734e726e3676..fcfb2dfb84d4 100644
--- a/content/docs/07-reference/01-ai-sdk-core/01-generate-text.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/01-generate-text.mdx
@@ -236,10 +236,10 @@ To see `generateText` in action, check out [these examples](#examples).
                         'The name of the tool, which typically would be the name of the function.',
                     },
                     {
-                      name: 'args',
+                      name: 'input',
                       type: 'object based on zod schema',
                       description:
-                        'Parameters generated by the model to be used by the tool.',
+                        'Input (parameters) generated by the model to be used by the tool.',
                     },
                   ],
                 },
@@ -281,7 +281,7 @@ To see `generateText` in action, check out [these examples](#examples).
                         'The name of the tool the result corresponds to.',
                     },
                     {
-                      name: 'result',
+                      name: 'output',
                       type: 'unknown',
                       description:
                         'The result returned by the tool after execution.',
@@ -318,7 +318,7 @@ To see `generateText` in action, check out [these examples](#examples).
                 'Information about the purpose of the tool including details on how and when it can be used by the model.',
             },
             {
-              name: 'parameters',
+              name: 'inputSchema',
               type: 'Zod Schema | JSON Schema',
               description:
                 'The schema of the input that the tool expects. The language model will use this to generate the input. It is also used to validate the output of the language model. Use descriptions to make the input understandable for the language model. You can either pass in a Zod schema or a JSON schema (using the `jsonSchema` function).',
@@ -442,20 +442,6 @@ To see `generateText` in action, check out [these examples](#examples).
       description:
         'Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.',
     },
-    {
-      name: 'maxSteps',
-      type: 'number',
-      isOptional: true,
-      description:
-        'Maximum number of sequential LLM calls (steps), e.g. when you use tool calls. A maximum number is required to prevent infinite loops in the case of misconfigured tools. By default, it is set to 1.',
-    },
-    {
-      name: 'experimental_generateMessageId',
-      type: '() => string',
-      isOptional: true,
-      description:
-        'Function used to generate a unique ID for each message. This is an experimental feature.',
-    },
     {
       name: 'experimental_telemetry',
       type: 'TelemetrySettings',
@@ -513,10 +499,10 @@ To see `generateText` in action, check out [these examples](#examples).
     },
     {
       name: 'activeTools',
-      type: 'Array<TOOLNAME> | undefined',
+      type: 'Array<TOOLNAME>',
       isOptional: true,
       description:
-        'The tools that are currently active. All tools are active by default.',
+        'Limits the tools that are available for the model to call without changing the tool call and result types in the result. All tools are active by default.',
     },
     {
       name: 'stopWhen',
@@ -530,7 +516,7 @@ To see `generateText` in action, check out [these examples](#examples).
       type: '(options: PrepareStepOptions) => PrepareStepResult<TOOLS> | Promise<PrepareStepResult<TOOLS>>',
       isOptional: true,
       description:
-        'Optional function that you can use to provide different settings for a step.',
+        'Optional function that you can use to provide different settings for a step. You can modify the model, tool choices, active tools, system prompt, and input messages for each step.',
       properties: [
         {
           type: 'PrepareStepFunction<TOOLS>',
@@ -559,12 +545,55 @@ To see `generateText` in action, check out [these examples](#examples).
                       type: 'LanguageModel',
                       description: 'The model that is being used.',
                     },
+                    {
+                      name: 'messages',
+                      type: 'Array<ModelMessage>',
+                      description:
+                        'The messages that will be sent to the model for the current step.',
+                    },
                   ],
                 },
               ],
             },
           ],
         },
+        {
+          type: 'PrepareStepResult<TOOLS>',
+          description:
+            'Return value that can modify settings for the current step.',
+          parameters: [
+            {
+              name: 'model',
+              type: 'LanguageModel',
+              isOptional: true,
+              description: 'Change the model for this step.',
+            },
+            {
+              name: 'toolChoice',
+              type: 'ToolChoice<TOOLS>',
+              isOptional: true,
+              description: 'Change the tool choice strategy for this step.',
+            },
+            {
+              name: 'activeTools',
+              type: 'Array<keyof TOOLS>',
+              isOptional: true,
+              description: 'Change which tools are active for this step.',
+            },
+            {
+              name: 'system',
+              type: 'string',
+              isOptional: true,
+              description: 'Change the system prompt for this step.',
+            },
+            {
+              name: 'messages',
+              type: 'Array<ModelMessage>',
+              isOptional: true,
+              description: 'Modify the input messages for this step.',
+            },
+          ],
+        },
       ],
     },
     {
@@ -657,12 +686,6 @@ To see `generateText` in action, check out [these examples](#examples).
         {
           type: 'OnStepFinishResult',
           parameters: [
-            {
-              name: 'stepType',
-              type: '"initial" | "continue" | "tool-result"',
-              description:
-                'The type of step. The first step is always an "initial" step, and subsequent steps are either "continue" steps or "tool-result" steps.',
-            },
             {
               name: 'finishReason',
               type: '"stop" | "length" | "content-filter" | "tool-calls" | "error" | "other" | "unknown"',
@@ -671,27 +694,40 @@ To see `generateText` in action, check out [these examples](#examples).
             },
             {
               name: 'usage',
-              type: 'TokenUsage',
+              type: 'LanguageModelUsage',
               description: 'The token usage of the step.',
               properties: [
                 {
-                  type: 'TokenUsage',
+                  type: 'LanguageModelUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
-                      type: 'number',
-                      description: 'The total number of tokens in the prompt.',
+                      name: 'inputTokens',
+                      type: 'number | undefined',
+                      description: 'The number of input (prompt) tokens used.',
                     },
                     {
-                      name: 'completionTokens',
-                      type: 'number',
+                      name: 'outputTokens',
+                      type: 'number | undefined',
                       description:
-                        'The total number of tokens in the completion.',
+                        'The number of output (completion) tokens used.',
                     },
                     {
                       name: 'totalTokens',
-                      type: 'number',
-                      description: 'The total number of tokens generated.',
+                      type: 'number | undefined',
+                      description:
+                        'The total number of tokens as reported by the provider. This number might be different from the sum of inputTokens and outputTokens and e.g. include reasoning tokens or other overhead.',
+                    },
+                    {
+                      name: 'reasoningTokens',
+                      type: 'number | undefined',
+                      isOptional: true,
+                      description: 'The number of reasoning tokens used.',
+                    },
+                    {
+                      name: 'cachedInputTokens',
+                      type: 'number | undefined',
+                      isOptional: true,
+                      description: 'The number of cached input tokens.',
                     },
                   ],
                 },
@@ -734,7 +770,7 @@ To see `generateText` in action, check out [these examples](#examples).
                         'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
                     },
                     {
-                      name: 'model',
+                      name: 'modelId',
                       type: 'string',
                       description:
                         'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
diff --git a/content/docs/07-reference/01-ai-sdk-core/02-stream-text.mdx b/content/docs/07-reference/01-ai-sdk-core/02-stream-text.mdx
index cf36babee39f..3febcc6166e5 100644
--- a/content/docs/07-reference/01-ai-sdk-core/02-stream-text.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/02-stream-text.mdx
@@ -237,7 +237,7 @@ To see `streamText` in action, check out [these examples](#examples).
                         'The name of the tool, which typically would be the name of the function.',
                     },
                     {
-                      name: 'args',
+                      name: 'input',
                       type: 'object based on zod schema',
                       description:
                         'Parameters generated by the model to be used by the tool.',
@@ -319,7 +319,7 @@ To see `streamText` in action, check out [these examples](#examples).
                 'Information about the purpose of the tool including details on how and when it can be used by the model.',
             },
             {
-              name: 'parameters',
+              name: 'inputSchema',
               type: 'Zod Schema | JSON Schema',
               description:
                 'The schema of the input that the tool expects. The language model will use this to generate the input. It is also used to validate the output of the language model. Use descriptions to make the input understandable for the language model. You can either pass in a Zod schema or a JSON schema (using the `jsonSchema` function).',
@@ -443,13 +443,6 @@ To see `streamText` in action, check out [these examples](#examples).
       description:
         'Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.',
     },
-    {
-      name: 'maxSteps',
-      type: 'number',
-      isOptional: true,
-      description:
-        'Maximum number of sequential LLM calls (steps), e.g. when you use tool calls. A maximum number is required to prevent infinite loops in the case of misconfigured tools. By default, it is set to 1.',
-    },
     {
       name: 'experimental_generateMessageId',
       type: '() => string',
@@ -574,7 +567,7 @@ To see `streamText` in action, check out [these examples](#examples).
       type: '(options: PrepareStepOptions) => PrepareStepResult<TOOLS> | Promise<PrepareStepResult<TOOLS>>',
       isOptional: true,
       description:
-        'Optional function that you can use to provide different settings for a step.',
+        'Optional function that you can use to provide different settings for a step. You can modify the model, tool choices, active tools, system prompt, and input messages for each step.',
       properties: [
         {
           type: 'PrepareStepFunction<TOOLS>',
@@ -603,12 +596,55 @@ To see `streamText` in action, check out [these examples](#examples).
                       type: 'LanguageModel',
                       description: 'The model that is being used.',
                     },
+                    {
+                      name: 'messages',
+                      type: 'Array<ModelMessage>',
+                      description:
+                        'The messages that will be sent to the model for the current step.',
+                    },
                   ],
                 },
               ],
             },
           ],
         },
+        {
+          type: 'PrepareStepResult<TOOLS>',
+          description:
+            'Return value that can modify settings for the current step.',
+          parameters: [
+            {
+              name: 'model',
+              type: 'LanguageModel',
+              isOptional: true,
+              description: 'Change the model for this step.',
+            },
+            {
+              name: 'toolChoice',
+              type: 'ToolChoice<TOOLS>',
+              isOptional: true,
+              description: 'Change the tool choice strategy for this step.',
+            },
+            {
+              name: 'activeTools',
+              type: 'Array<keyof TOOLS>',
+              isOptional: true,
+              description: 'Change which tools are active for this step.',
+            },
+            {
+              name: 'system',
+              type: 'string',
+              isOptional: true,
+              description: 'Change the system prompt for this step.',
+            },
+            {
+              name: 'messages',
+              type: 'Array<ModelMessage>',
+              isOptional: true,
+              description: 'Modify the input messages for this step.',
+            },
+          ],
+        },
       ],
     },
     {
@@ -740,7 +776,7 @@ To see `streamText` in action, check out [these examples](#examples).
                         'The name of the tool, which typically would be the name of the function.',
                     },
                     {
-                      name: 'args',
+                      name: 'input',
                       type: 'object based on zod schema',
                       description:
                         'Parameters generated by the model to be used by the tool.',
@@ -818,13 +854,13 @@ To see `streamText` in action, check out [these examples](#examples).
                         'The name of the tool, which typically would be the name of the function.',
                     },
                     {
-                      name: 'args',
+                      name: 'input',
                       type: 'object based on zod schema',
                       description:
                         'Parameters generated by the model to be used by the tool.',
                     },
                     {
-                      name: 'result',
+                      name: 'output',
                       type: 'any',
                       description:
                         'The result returned by the tool after execution has completed.',
@@ -921,12 +957,12 @@ To see `streamText` in action, check out [these examples](#examples).
                   type: 'TokenUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
+                      name: 'inputTokens',
                       type: 'number',
                       description: 'The total number of tokens in the prompt.',
                     },
                     {
-                      name: 'completionTokens',
+                      name: 'outputTokens',
                       type: 'number',
                       description:
                         'The total number of tokens in the completion.',
@@ -1114,12 +1150,12 @@ To see `streamText` in action, check out [these examples](#examples).
                   type: 'TokenUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
+                      name: 'inputTokens',
                       type: 'number',
                       description: 'The total number of tokens in the prompt.',
                     },
                     {
-                      name: 'completionTokens',
+                      name: 'outputTokens',
                       type: 'number',
                       description:
                         'The total number of tokens in the completion.',
@@ -1333,6 +1369,25 @@ To see `streamText` in action, check out [these examples](#examples).
         },
       ],
     },
+    {
+      name: 'onAbort',
+      type: '(event: OnAbortResult) => Promise<void> | void',
+      isOptional: true,
+      description:
+        'Callback that is called when a stream is aborted via AbortSignal. You can use it to perform cleanup operations.',
+      properties: [
+        {
+          type: 'OnAbortResult',
+          parameters: [
+            {
+              name: 'steps',
+              type: 'Array<StepResult>',
+              description: 'Details for all previously finished steps.',
+            },
+          ],
+        },
+      ],
+    },
   ]}
 />
 
@@ -1713,12 +1768,12 @@ To see `streamText` in action, check out [these examples](#examples).
                   type: 'LanguageModelUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
+                      name: 'inputTokens',
                       type: 'number',
                       description: 'The total number of tokens in the prompt.',
                     },
                     {
-                      name: 'completionTokens',
+                      name: 'outputTokens',
                       type: 'number',
                       description:
                         'The total number of tokens in the completion.',
@@ -1965,7 +2020,7 @@ To see `streamText` in action, check out [these examples](#examples).
                 'The name of the tool, which typically would be the name of the function.',
             },
             {
-              name: 'args',
+              name: 'input',
               type: 'object based on tool parameters',
               description:
                 'Parameters generated by the model to be used by the tool. The type is inferred from the tool definition.',
@@ -2042,13 +2097,13 @@ To see `streamText` in action, check out [these examples](#examples).
                 'The name of the tool, which typically would be the name of the function.',
             },
             {
-              name: 'args',
+              name: 'input',
               type: 'object based on tool parameters',
               description:
                 'Parameters that were passed to the tool. The type is inferred from the tool definition.',
             },
             {
-              name: 'result',
+              name: 'output',
               type: 'tool execution return type',
               description:
                 'The result returned by the tool after execution has completed. The type is inferred from the tool execute function return type.',
@@ -2144,12 +2199,12 @@ To see `streamText` in action, check out [these examples](#examples).
                   type: 'LanguageModelUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
+                      name: 'inputTokens',
                       type: 'number',
                       description: 'The total number of tokens in the prompt.',
                     },
                     {
-                      name: 'completionTokens',
+                      name: 'outputTokens',
                       type: 'number',
                       description:
                         'The total number of tokens in the completion.',
@@ -2209,12 +2264,12 @@ To see `streamText` in action, check out [these examples](#examples).
                   type: 'LanguageModelUsage',
                   parameters: [
                     {
-                      name: 'promptTokens',
+                      name: 'inputTokens',
                       type: 'number',
                       description: 'The total number of tokens in the prompt.',
                     },
                     {
-                      name: 'completionTokens',
+                      name: 'outputTokens',
                       type: 'number',
                       description:
                         'The total number of tokens in the completion.',
@@ -2256,6 +2311,16 @@ To see `streamText` in action, check out [these examples](#examples).
             },
           ],
         },
+        {
+          type: 'TextStreamPart',
+          parameters: [
+            {
+              name: 'type',
+              type: "'abort'",
+              description: 'The type to identify the object as abort.',
+            },
+          ],
+        },
       ],
     },
     {
@@ -2285,9 +2350,9 @@ To see `streamText` in action, check out [these examples](#examples).
     },
     {
       name: 'toUIMessageStream',
-      type: '(options?: UIMessageStreamOptions) => ReadableStream<UIMessageStreamPart>',
+      type: '(options?: UIMessageStreamOptions) => AsyncIterableStream<UIMessageChunk>',
       description:
-        'Converts the result to a UI message stream.',
+        'Converts the result to a UI message stream. Returns an AsyncIterableStream that can be used as both an AsyncIterable and a ReadableStream.',
       properties: [
         {
           type: 'UIMessageStreamOptions',
@@ -2300,9 +2365,9 @@ To see `streamText` in action, check out [these examples](#examples).
             },
             {
               name: 'onFinish',
-              type: '(options: { messages: UIMessage[]; isContinuation: boolean; responseMessage: UIMessage; }) => void',
+              type: '(options: { messages: UIMessage[]; isContinuation: boolean; responseMessage: UIMessage; isAborted: boolean; }) => void',
               isOptional: true,
-              description: 'Callback function called when the stream finishes. Provides the updated list of UI messages, whether the response is a continuation, and the response message.',
+              description: 'Callback function called when the stream finishes. Provides the updated list of UI messages, whether the response is a continuation, the response message, and whether the stream was aborted.',
             },
             {
               name: 'messageMetadata',
@@ -2345,6 +2410,13 @@ To see `streamText` in action, check out [these examples](#examples).
               description:
                 'Process an error, e.g. to log it. Returns error message to include in the data stream. Defaults to () => "An error occurred."',
             },
+            {
+              name: 'consumeSseStream',
+              type: '(stream: ReadableStream) => Promise<void>',
+              isOptional: true,
+              description:
+                'Function to consume the SSE stream. Required for proper abort handling in UI message streams. Use the `consumeStream` function from the AI SDK.',
+            },
           ],
         },
       ],
diff --git a/content/docs/07-reference/01-ai-sdk-core/05-embed.mdx b/content/docs/07-reference/01-ai-sdk-core/05-embed.mdx
index 9fe6977b611f..d46c6493295a 100644
--- a/content/docs/07-reference/01-ai-sdk-core/05-embed.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/05-embed.mdx
@@ -14,7 +14,7 @@ import { openai } from '@ai-sdk/openai';
 import { embed } from 'ai';
 
 const { embedding } = await embed({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   value: 'sunny day at the beach',
 });
 ```
@@ -33,7 +33,7 @@ const { embedding } = await embed({
       name: 'model',
       type: 'EmbeddingModel',
       description:
-        "The embedding model to use. Example: openai.embedding('text-embedding-3-small')",
+        "The embedding model to use. Example: openai.textEmbeddingModel('text-embedding-3-small')",
     },
     {
       name: 'value',
diff --git a/content/docs/07-reference/01-ai-sdk-core/06-embed-many.mdx b/content/docs/07-reference/01-ai-sdk-core/06-embed-many.mdx
index 9d248fdbc033..4e7be53fb384 100644
--- a/content/docs/07-reference/01-ai-sdk-core/06-embed-many.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/06-embed-many.mdx
@@ -16,7 +16,7 @@ import { openai } from '@ai-sdk/openai';
 import { embedMany } from 'ai';
 
 const { embeddings } = await embedMany({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   values: [
     'sunny day at the beach',
     'rainy afternoon in the city',
@@ -39,7 +39,7 @@ const { embeddings } = await embedMany({
       name: 'model',
       type: 'EmbeddingModel',
       description:
-        "The embedding model to use. Example: openai.embedding('text-embedding-3-small')",
+        "The embedding model to use. Example: openai.textEmbeddingModel('text-embedding-3-small')",
     },
     {
       name: 'values',
diff --git a/content/docs/07-reference/01-ai-sdk-core/11-transcribe.mdx b/content/docs/07-reference/01-ai-sdk-core/11-transcribe.mdx
index a0ee2ad77461..824de32568f4 100644
--- a/content/docs/07-reference/01-ai-sdk-core/11-transcribe.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/11-transcribe.mdx
@@ -14,7 +14,7 @@ import { experimental_transcribe as transcribe } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { readFile } from 'fs/promises';
 
-const { transcript } = await transcribe({
+const { text: transcript } = await transcribe({
   model: openai.transcription('whisper-1'),
   audio: await readFile('audio.mp3'),
 });
diff --git a/content/docs/07-reference/01-ai-sdk-core/20-tool.mdx b/content/docs/07-reference/01-ai-sdk-core/20-tool.mdx
index 4c1d72c0d310..a345202e1d05 100644
--- a/content/docs/07-reference/01-ai-sdk-core/20-tool.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/20-tool.mdx
@@ -5,11 +5,11 @@ description: Helper function for tool type inference
 
 # `tool()`
 
-Tool is a helper function that infers the tool parameters for its `execute` method.
+Tool is a helper function that infers the tool input for its `execute` method.
 
-It does not have any runtime behavior, but it helps TypeScript infer the types of the parameters for the `execute` method.
+It does not have any runtime behavior, but it helps TypeScript infer the types of the input for the `execute` method.
 
-Without this helper function, TypeScript is unable to connect the `parameters` property to the `execute` method,
+Without this helper function, TypeScript is unable to connect the `inputSchema` property to the `execute` method,
 and the argument types of `execute` cannot be inferred.
 
 ```ts highlight={"1,4,9,10"}
@@ -18,7 +18,7 @@ import { z } from 'zod';
 
 export const weatherTool = tool({
   description: 'Get the weather in a location',
-  parameters: z.object({
+  inputSchema: z.object({
     location: z.string().describe('The location to get the weather for'),
   }),
   // location below is inferred to be a string:
@@ -55,7 +55,7 @@ export const weatherTool = tool({
                 'Information about the purpose of the tool including details on how and when it can be used by the model.'
             },
             {
-              name: 'parameters',
+              name: 'inputSchema',
               type: 'Zod Schema | JSON Schema',
               description:
                 'The schema of the input that the tool expects. The language model will use this to generate the input. It is also used to validate the output of the language model. Use descriptions to make the input understandable for the language model. You can either pass in a Zod schema or a JSON schema (using the `jsonSchema` function).'
@@ -63,12 +63,12 @@ export const weatherTool = tool({
             {
               name: 'execute',
               isOptional: true,
-              type: 'async (parameters: T, options: ToolExecutionOptions) => RESULT',
+              type: 'async (input: T, options: ToolCallOptions) => RESULT',
               description:
                 'An async function that is called with the arguments from the tool call and produces a result. If not provided, the tool will not be executed automatically.',
                 properties: [
                   {
-                    type: "ToolExecutionOptions",
+                    type: "ToolCallOptions",
                     parameters: [
                       {
                       name: 'toolCallId',
@@ -83,6 +83,7 @@ export const weatherTool = tool({
                       {
                         name: "abortSignal",
                         type: "AbortSignal",
+                        isOptional: true,
                         description: "An optional abort signal that indicates that the overall operation should be aborted."
                       }
                     ]
@@ -90,48 +91,64 @@ export const weatherTool = tool({
                 ]
             },
             {
-              name: 'experimental_toToolResultContent',
+              name: 'outputSchema',
               isOptional: true,
-              type: '(result: RESULT) => TextToolResultContent | ImageToolResultContent',
-              description: 'An optional function that converts the result of the tool call to a content object that can be used in LLM messages.',
-              properties: [
-                {
-                  type: 'TextToolResultContent',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: "'text'",
-                      description: 'The type of the tool result content.'
-                    },
-                    {
-                      name: 'text',
-                      type: 'string',
-                      description: 'The content of the message.'
-                    }
-                  ]
-                },
-                {
-                  type: 'ImageToolResultContent',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: "'image'",
-                      description: 'The type of the tool result content.'
-                    },
-                    {
-                      name: 'data',
-                      type: 'string',
-                      description: 'The base64 encoded png image.'
-                    },
-                    {
-                      name: 'mediaType',
-                      isOptional: true,
-                      type: 'string',
-                      description: 'The IANA media type of the image.'
-                    }
-                  ]
-                }
-              ]
+              type: 'Zod Schema | JSON Schema',
+              description: 'The schema of the output that the tool produces. Used for validation and type inference.'
+            },
+            {
+              name: 'toModelOutput',
+              isOptional: true,
+              type: '(output: RESULT) => LanguageModelV2ToolResultPart[\'output\']',
+              description: 'Optional conversion function that maps the tool result to an output that can be used by the language model. If not provided, the tool result will be sent as a JSON object.'
+            },
+            {
+              name: 'onInputStart',
+              isOptional: true,
+              type: '(options: ToolCallOptions) => void | PromiseLike<void>',
+              description: 'Optional function that is called when the argument streaming starts. Only called when the tool is used in a streaming context.'
+            },
+            {
+              name: 'onInputDelta',
+              isOptional: true,
+              type: '(options: { inputTextDelta: string } & ToolCallOptions) => void | PromiseLike<void>',
+              description: 'Optional function that is called when an argument streaming delta is available. Only called when the tool is used in a streaming context.'
+            },
+            {
+              name: 'onInputAvailable',
+              isOptional: true,
+              type: '(options: { input: INPUT } & ToolCallOptions) => void | PromiseLike<void>',
+              description: 'Optional function that is called when a tool call can be started, even if the execute function is not provided.'
+            },
+            {
+              name: 'providerOptions',
+              isOptional: true,
+              type: 'ProviderOptions',
+              description: 'Additional provider-specific metadata. They are passed through to the provider from the AI SDK and enable provider-specific functionality that can be fully encapsulated in the provider.'
+            },
+            {
+              name: 'type',
+              isOptional: true,
+              type: "'function' | 'provider-defined'",
+              description: 'The type of the tool. Defaults to "function" for regular tools. Use "provider-defined" for provider-specific tools.'
+            },
+            {
+              name: 'id',
+              isOptional: true,
+              type: 'string',
+              description: 'The ID of the tool for provider-defined tools. Should follow the format `<provider-name>.<unique-tool-name>`. Required when type is "provider-defined".'
+            },
+            {
+              name: 'name',
+              isOptional: true,
+              type: 'string',
+              description: 'The name of the tool that the user must use in the tool set. Required when type is "provider-defined".'
+            },
+            {
+              name: 'args',
+              isOptional: true,
+              type: 'Record<string, unknown>',
+              description: 'The arguments for configuring the tool. Must match the expected arguments defined by the provider for this tool. Required when type is "provider-defined".'
             }
           ]
         }
diff --git a/content/docs/07-reference/01-ai-sdk-core/31-ui-message.mdx b/content/docs/07-reference/01-ai-sdk-core/31-ui-message.mdx
new file mode 100644
index 000000000000..d9dc9c841e29
--- /dev/null
+++ b/content/docs/07-reference/01-ai-sdk-core/31-ui-message.mdx
@@ -0,0 +1,246 @@
+---
+title: UIMessage
+description: API Reference for UIMessage
+---
+
+# `UIMessage`
+
+`UIMessage` serves as the source of truth for your application's state, representing the complete message history including metadata, data parts, and all contextual information. In contrast to `ModelMessage`, which represents the state or context passed to the model, `UIMessage` contains the full application state needed for UI rendering and client-side functionality.
+
+## Type Safety
+
+`UIMessage` is designed to be type-safe and accepts three generic parameters to ensure proper typing throughout your application:
+
+1. **`METADATA`** - Custom metadata type for additional message information
+2. **`DATA_PARTS`** - Custom data part types for structured data components
+3. **`TOOLS`** - Tool definitions for type-safe tool interactions
+
+## Creating Your Own UIMessage Type
+
+Here's an example of how to create a custom typed UIMessage for your application:
+
+```typescript
+import { InferUITools, ToolSet, UIMessage, tool } from 'ai';
+import z from 'zod';
+
+const metadataSchema = z.object({
+  someMetadata: z.string().datetime(),
+});
+
+type MyMetadata = z.infer<typeof metadataSchema>;
+
+const dataPartSchema = z.object({
+  someDataPart: z.object({}),
+  anotherDataPart: z.object({}),
+});
+
+type MyDataPart = z.infer<typeof dataPartSchema>;
+
+const tools: ToolSet = {
+  someTool: tool({}),
+};
+
+type MyTools = InferUITools<typeof tools>;
+
+export type MyUIMessage = UIMessage<MyMetadata, MyDataPart, MyTools>;
+```
+
+## `UIMessage` Interface
+
+```typescript
+interface UIMessage<
+  METADATA = unknown,
+  DATA_PARTS extends UIDataTypes = UIDataTypes,
+  TOOLS extends UITools = UITools,
+> {
+  /**
+   * A unique identifier for the message.
+   */
+  id: string;
+
+  /**
+   * The role of the message.
+   */
+  role: 'system' | 'user' | 'assistant';
+
+  /**
+   * The metadata of the message.
+   */
+  metadata?: METADATA;
+
+  /**
+   * The parts of the message. Use this for rendering the message in the UI.
+   */
+  parts: Array<UIMessagePart<DATA_PARTS, TOOLS>>;
+}
+```
+
+## `UIMessagePart` Types
+
+### `TextUIPart`
+
+A text part of a message.
+
+```typescript
+type TextUIPart = {
+  type: 'text';
+  /**
+   * The text content.
+   */
+  text: string;
+  /**
+   * The state of the text part.
+   */
+  state?: 'streaming' | 'done';
+};
+```
+
+### `ReasoningUIPart`
+
+A reasoning part of a message.
+
+```typescript
+type ReasoningUIPart = {
+  type: 'reasoning';
+  /**
+   * The reasoning text.
+   */
+  text: string;
+  /**
+   * The state of the reasoning part.
+   */
+  state?: 'streaming' | 'done';
+  /**
+   * The provider metadata.
+   */
+  providerMetadata?: Record<string, any>;
+};
+```
+
+### `ToolUIPart`
+
+A tool part of a message that represents tool invocations and their results.
+
+<Note>
+  The type is based on the name of the tool (e.g., `tool-someTool` for a tool
+  named `someTool`).
+</Note>
+
+```typescript
+type ToolUIPart<TOOLS extends UITools = UITools> = ValueOf<{
+  [NAME in keyof TOOLS & string]: {
+    type: `tool-${NAME}`;
+    toolCallId: string;
+  } & (
+    | {
+        state: 'input-streaming';
+        input: DeepPartial<TOOLS[NAME]['input']> | undefined;
+        providerExecuted?: boolean;
+        output?: never;
+        errorText?: never;
+      }
+    | {
+        state: 'input-available';
+        input: TOOLS[NAME]['input'];
+        providerExecuted?: boolean;
+        output?: never;
+        errorText?: never;
+      }
+    | {
+        state: 'output-available';
+        input: TOOLS[NAME]['input'];
+        output: TOOLS[NAME]['output'];
+        errorText?: never;
+        providerExecuted?: boolean;
+      }
+    | {
+        state: 'output-error';
+        input: TOOLS[NAME]['input'];
+        output?: never;
+        errorText: string;
+        providerExecuted?: boolean;
+      }
+  );
+}>;
+```
+
+### `SourceUrlUIPart`
+
+A source URL part of a message.
+
+```typescript
+type SourceUrlUIPart = {
+  type: 'source-url';
+  sourceId: string;
+  url: string;
+  title?: string;
+  providerMetadata?: Record<string, any>;
+};
+```
+
+### `SourceDocumentUIPart`
+
+A document source part of a message.
+
+```typescript
+type SourceDocumentUIPart = {
+  type: 'source-document';
+  sourceId: string;
+  mediaType: string;
+  title: string;
+  filename?: string;
+  providerMetadata?: Record<string, any>;
+};
+```
+
+### `FileUIPart`
+
+A file part of a message.
+
+```typescript
+type FileUIPart = {
+  type: 'file';
+  /**
+   * IANA media type of the file.
+   */
+  mediaType: string;
+  /**
+   * Optional filename of the file.
+   */
+  filename?: string;
+  /**
+   * The URL of the file.
+   * It can either be a URL to a hosted file or a Data URL.
+   */
+  url: string;
+};
+```
+
+### `DataUIPart`
+
+A data part of a message for custom data types.
+
+<Note>
+  The type is based on the name of the data part (e.g., `data-someDataPart` for
+  a data part named `someDataPart`).
+</Note>
+
+```typescript
+type DataUIPart<DATA_TYPES extends UIDataTypes> = ValueOf<{
+  [NAME in keyof DATA_TYPES & string]: {
+    type: `data-${NAME}`;
+    id?: string;
+    data: DATA_TYPES[NAME];
+  };
+}>;
+```
+
+### `StepStartUIPart`
+
+A step boundary part of a message.
+
+```typescript
+type StepStartUIPart = {
+  type: 'step-start';
+};
+```
diff --git a/content/docs/07-reference/01-ai-sdk-core/50-cosine-similarity.mdx b/content/docs/07-reference/01-ai-sdk-core/50-cosine-similarity.mdx
index 50b0f412b2b9..958049786812 100644
--- a/content/docs/07-reference/01-ai-sdk-core/50-cosine-similarity.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/50-cosine-similarity.mdx
@@ -16,7 +16,7 @@ import { openai } from '@ai-sdk/openai';
 import { cosineSimilarity, embedMany } from 'ai';
 
 const { embeddings } = await embedMany({
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   values: ['sunny day at the beach', 'rainy afternoon in the city'],
 });
 
diff --git a/content/docs/07-reference/01-ai-sdk-core/80-smooth-stream.mdx b/content/docs/07-reference/01-ai-sdk-core/80-smooth-stream.mdx
index 474ea5875e8c..6d3836970d3a 100644
--- a/content/docs/07-reference/01-ai-sdk-core/80-smooth-stream.mdx
+++ b/content/docs/07-reference/01-ai-sdk-core/80-smooth-stream.mdx
@@ -52,21 +52,42 @@ const result = streamText({
 
 #### Word chunking caveats with non-latin languages
 
-<Note>
-    The word based chunking **does not work well** with the following languages that do not delimit words with spaces:
+The word based chunking **does not work well** with the following languages that do not delimit words with spaces:
 
-    For these languages we recommend using a custom regex, like the following:
+For these languages we recommend using a custom regex, like the following:
 
-    - Chinese - `/[\u4E00-\u9FFF]|\S+\s+/`
-    - Japanese - `/[\u3040-\u309F\u30A0-\u30FF]|\S+\s+/`
+- Chinese - `/[\u4E00-\u9FFF]|\S+\s+/`
+- Japanese - `/[\u3040-\u309F\u30A0-\u30FF]|\S+\s+/`
 
-    For these languages you could pass your own language aware chunking function:
+```tsx filename="Japanese example"
+import { smoothStream, streamText } from 'ai';
+
+const result = streamText({
+  model: 'openai/gpt-4.1',
+  prompt: 'Your prompt here',
+  experimental_transform: smoothStream({
+    chunking: /[\u3040-\u309F\u30A0-\u30FF]|\S+\s+/,
+  }),
+});
+```
+
+```tsx filename="Chinese example"
+import { smoothStream, streamText } from 'ai';
+
+const result = streamText({
+  model: 'openai/gpt-4.1',
+  prompt: 'Your prompt here',
+  experimental_transform: smoothStream({
+    chunking: /[\u4E00-\u9FFF]|\S+\s+/,
+  }),
+});
+```
 
-    - Vietnamese
-    - Thai
-    - Javanese (Aksara Jawa)
+For these languages you could pass your own language aware chunking function:
 
-</Note>
+- Vietnamese
+- Thai
+- Javanese (Aksara Jawa)
 
 #### Regex based chunking
 
diff --git a/content/docs/07-reference/02-ai-sdk-ui/01-use-chat.mdx b/content/docs/07-reference/02-ai-sdk-ui/01-use-chat.mdx
index e98b20b63706..d22e2939806a 100644
--- a/content/docs/07-reference/02-ai-sdk-ui/01-use-chat.mdx
+++ b/content/docs/07-reference/02-ai-sdk-ui/01-use-chat.mdx
@@ -5,7 +5,15 @@ description: API reference for the useChat hook.
 
 # `useChat()`
 
-Allows you to easily create a conversational user interface for your chatbot application. It enables the streaming of chat messages from your AI provider, manages the state for chat input, and updates the UI automatically as new messages are received.
+Allows you to easily create a conversational user interface for your chatbot application. It enables the streaming of chat messages from your AI provider, manages the chat state, and updates the UI automatically as new messages are received.
+
+<Note>
+  The `useChat` API has been significantly updated in AI SDK 5.0. It now uses a
+  transport-based architecture and no longer manages input state internally. See
+  the [migration
+  guide](/docs/migration-guides/migration-guide-5-0#usechat-changes) for
+  details.
+</Note>
 
 ## Import
 
@@ -21,7 +29,7 @@ Allows you to easily create a conversational user interface for your chatbot app
     <Snippet text="import { Chat } from '@ai-sdk/svelte'" dark prompt={false} />
   </Tab>
   <Tab>
-    <Snippet text="import { useChat } from '@ai-sdk/vue'" dark prompt={false} />
+    <Snippet text="import { Chat } from '@ai-sdk/vue'" dark prompt={false} />
   </Tab>
 </Tabs>
 
@@ -32,160 +40,236 @@ Allows you to easily create a conversational user interface for your chatbot app
 <PropertiesTable
   content={[
     {
-      name: 'api',
-      type: "string = '/api/chat'",
-      isOptional: true,
-      description:
-        'The API endpoint that is called to generate chat responses. It can be a relative path (starting with `/`) or an absolute URL.',
-    },
-    {
-      name: 'id',
-      type: 'string',
+      name: 'chat',
+      type: 'Chat<UIMessage>',
       isOptional: true,
       description:
-        'An unique identifier for the chat. If not provided, a random one will be generated. When provided, the `useChat` hook with the same `id` will have shared states across components. This is useful when you have multiple components showing the same chat stream.',
-    },
-    {
-      name: 'initialInput',
-      type: "string = ''",
-      isOptional: true,
-      description: 'An optional string for the initial prompt input.',
+        'An existing Chat instance to use. If provided, other parameters are ignored.',
     },
     {
-      name: 'initialMessages',
-      type: 'Messages[] = []',
-      isOptional: true,
-      description: 'An optional array of initial chat messages',
-    },
-    {
-      name: 'onToolCall',
-      type: '({toolCall: ToolCall}) => void | unknown| Promise<unknown>',
-      isOptional: true,
-      description:
-        'Optional callback function that is invoked when a tool call is received. Intended for automatic client-side tool execution. You can optionally return a result for the tool call, either synchronously or asynchronously.',
-    },
-    {
-      name: 'onResponse',
-      type: '(response: Response) => void',
-      isOptional: true,
-      description:
-        'An optional callback that will be called with the response from the API endpoint. Useful for throwing customized errors or logging',
-    },
-    {
-      name: 'onFinish',
-      type: '(message: Message, options: OnFinishOptions) => void',
+      name: 'transport',
+      type: 'ChatTransport',
       isOptional: true,
       description:
-        'An optional callback function that is called when the completion stream ends.',
+        'The transport to use for sending messages. Defaults to DefaultChatTransport with `/api/chat` endpoint.',
       properties: [
         {
-          type: 'OnFinishOptions',
+          type: 'DefaultChatTransport',
           parameters: [
             {
-              name: 'usage',
-              type: 'CompletionTokenUsage',
-              description: 'The token usage for the completion.',
+              name: 'api',
+              type: "string = '/api/chat'",
+              isOptional: true,
+              description: 'The API endpoint for chat requests.',
+            },
+            {
+              name: 'credentials',
+              type: 'RequestCredentials',
+              isOptional: true,
+              description: 'The credentials mode for fetch requests.',
+            },
+            {
+              name: 'headers',
+              type: 'Record<string, string> | Headers',
+              isOptional: true,
+              description: 'HTTP headers to send with requests.',
+            },
+            {
+              name: 'body',
+              type: 'object',
+              isOptional: true,
+              description: 'Extra body object to send with requests.',
+            },
+            {
+              name: 'prepareSendMessagesRequest',
+              type: 'PrepareSendMessagesRequest',
+              isOptional: true,
+              description: 'A function to customize the request before chat API calls.',
               properties: [
                 {
-                  type: 'CompletionTokenUsage',
+                  type: 'PrepareSendMessagesRequest',
                   parameters: [
                     {
-                      name: 'promptTokens',
-                      type: 'number',
-                      description: 'The total number of tokens in the prompt.',
-                    },
-                    {
-                      name: 'completionTokens',
-                      type: 'number',
-                      description:
-                        'The total number of tokens in the completion.',
-                    },
-                    {
-                      name: 'totalTokens',
-                      type: 'number',
-                      description: 'The total number of tokens generated.',
+                      name: 'options',
+                      type: 'PrepareSendMessageRequestOptions',
+                      description: 'Options for preparing the request',
+                      properties: [
+                        {
+                          type: 'PrepareSendMessageRequestOptions',
+                          parameters: [
+                            {
+                              name: 'id',
+                              type: 'string',
+                              description: 'The chat ID',
+                            },
+                            {
+                              name: 'messages',
+                              type: 'UIMessage[]',
+                              description: 'Current messages in the chat',
+                            },
+                            {
+                              name: 'requestMetadata',
+                              type: 'unknown',
+                              description: 'The request metadata',
+                            },
+                            {
+                              name: 'body',
+                              type: 'Record<string, any> | undefined',
+                              description: 'The request body',
+                            },
+                            {
+                              name: 'credentials',
+                              type: 'RequestCredentials | undefined',
+                              description: 'The request credentials',
+                            },
+                            {
+                              name: 'headers',
+                              type: 'HeadersInit | undefined',
+                              description: 'The request headers',
+                            },
+                            {
+                              name: 'api',
+                              type: 'string',
+                              description: `The API endpoint to use for the request. If not specified, it defaults to the transport’s API endpoint: /api/chat.`,
+                            },
+                            {
+                              name: 'trigger',
+                              type: "'submit-user-message' | 'submit-tool-result' | 'regenerate-assistant-message'",
+                              description: 'The trigger for the request',
+                            },
+                            {
+                              name: 'messageId',
+                              type: 'string | undefined',
+                              description: 'The message ID if applicable',
+                            },
+                          ]
+                        }
+                      ],
                     },
                   ],
                 },
               ],
             },
             {
-              name: 'finishReason',
-              type: "'stop' | 'length' | 'content-filter' | 'tool-calls' | 'error' | 'other' | 'unknown'",
-              description: 'The reason why the generation ended.',
+              name: 'prepareReconnectToStreamRequest',
+              type: 'PrepareReconnectToStreamRequest',
+              isOptional: true,
+              description: 'A function to customize the request before reconnect API call.',
+              properties: [
+                {
+                  type: 'PrepareReconnectToStreamRequest',
+                  parameters: [
+                    {
+                      name: 'options',
+                      type: 'PrepareReconnectToStreamRequestOptions',
+                      description: 'Options for preparing the reconnect request',
+                      properties: [
+                        {
+                          type: 'PrepareReconnectToStreamRequestOptions',
+                          parameters: [
+                            {
+                              name: 'id',
+                              type: 'string',
+                              description: 'The chat ID',
+                            },
+                            {
+                              name: 'requestMetadata',
+                              type: 'unknown',
+                              description: 'The request metadata',
+                            },
+                            {
+                              name: 'body',
+                              type: 'Record<string, any> | undefined',
+                              description: 'The request body',
+                            },
+                            {
+                              name: 'credentials',
+                              type: 'RequestCredentials | undefined',
+                              description: 'The request credentials',
+                            },
+                            {
+                              name: 'headers',
+                              type: 'HeadersInit | undefined',
+                              description: 'The request headers',
+                            },
+                            {
+                              name: 'api',
+                              type: 'string',
+                              description: `The API endpoint to use for the request. If not specified, it defaults to the transport’s API endpoint combined with the chat ID: /api/chat/{chatId}/stream.`,
+                            },
+                          ]
+                        }
+                      ],
+                    },
+                  ],
+                },
+              ],
             },
           ],
         },
       ],
     },
     {
-      name: 'onError',
-      type: '(error: Error) => void',
+      name: 'id',
+      type: 'string',
       isOptional: true,
       description:
-        'A callback that will be called when the chat stream encounters an error. Optional.',
-    },
-    {
-      name: 'generateId',
-      type: '() => string',
-      isOptional: true,
-      description: 'A custom id generator for message ids and the chat id. Optional.',
+        'A unique identifier for the chat. If not provided, a random one will be generated.',
     },
     {
-      name: 'headers',
-      type: 'Record<string, string> | Headers',
+      name: 'messages',
+      type: 'UIMessage[]',
       isOptional: true,
-      description:
-        'Additional headers to be passed to the API endpoint. Optional.',
+      description: 'Initial chat messages to populate the conversation with.',
     },
     {
-      name: 'body',
-      type: 'any',
+      name: 'onToolCall',
+      type: '({toolCall: ToolCall}) => void | Promise<void>',
       isOptional: true,
       description:
-        'Additional body object to be passed to the API endpoint. Optional.',
+        'Optional callback function that is invoked when a tool call is received. You must call addToolResult to provide the tool result.',
     },
     {
-      name: 'credentials',
-      type: "'omit' | 'same-origin' | 'include'",
+      name: 'sendAutomaticallyWhen',
+      type: '(options: { messages: UIMessage[] }) => boolean | PromiseLike<boolean>',
       isOptional: true,
       description:
-        'An optional literal that sets the mode of credentials to be used on the request. Defaults to same-origin.',
+        'When provided, this function will be called when the stream is finished or a tool call is added to determine if the current messages should be resubmitted. You can use the lastAssistantMessageIsCompleteWithToolCalls helper for common scenarios.',
     },
     {
-      name: 'maxSteps',
-      type: 'number',
+      name: 'onFinish',
+      type: '(options: {message: UIMessage}) => void',
       isOptional: true,
       description:
-        'Maximum number of backend calls to generate a response. A maximum number is required to prevent infinite loops in the case of misconfigured tools. By default, it is set to 1.',
+        'Optional callback function that is called when the assistant message has finished streaming completely.',
     },
     {
-      name: 'streamProtocol',
-      type: "'text' | 'data'",
+      name: 'onError',
+      type: '(error: Error) => void',
       isOptional: true,
       description:
-        'An optional literal that sets the type of stream to be used. Defaults to `data`. If set to `text`, the stream will be treated as a text stream.',
+        'Callback function to be called when an error is encountered.',
     },
     {
-      name: 'fetch',
-      type: 'FetchFunction',
+      name: 'onData',
+      type: '(dataPart: DataUIPart) => void',
       isOptional: true,
       description:
-        'Optional. A custom fetch function to be used for the API call. Defaults to the global fetch function.',
+        'Optional callback function that is called when a data part is received.',
     },
     {
-      name: 'experimental_prepareRequestBody',
-      type: '(options: { messages: UIMessage[]; requestData?: JSONValue; requestBody?: object, chatId: string }) => unknown',
+      name: 'experimental_throttle',
+      type: 'number',
       isOptional: true,
       description:
-        'Experimental. When a function is provided, it will be used to prepare the request body for the chat API. This can be useful for customizing the request body based on the messages and data in the chat.',
+        'Custom throttle wait in ms for the chat messages and data updates. Default is undefined, which disables throttling.',
     },
     {
-      name: 'experimental_throttle',
-      type: 'number',
+      name: 'resume',
+      type: 'boolean',
       isOptional: true,
       description:
-        'React only. Custom throttle wait time in milliseconds for the message and data updates. When specified, updates will be throttled using this interval. Defaults to undefined (no throttling).',
+        'Whether to resume an ongoing chat generation stream. Defaults to false.',
     },
 
 ]}
@@ -195,6 +279,11 @@ Allows you to easily create a conversational user interface for your chatbot app
 
 <PropertiesTable
   content={[
+    {
+      name: 'id',
+      type: 'string',
+      description: 'The id of the chat.',
+    },
     {
       name: 'messages',
       type: 'UIMessage[]',
@@ -206,279 +295,45 @@ Allows you to easily create a conversational user interface for your chatbot app
             {
               name: 'id',
               type: 'string',
-              description: 'The unique identifier of the message.',
+              description: 'A unique identifier for the message.',
             },
             {
               name: 'role',
-              type: "'system' | 'user' | 'assistant' | 'data'",
+              type: "'system' | 'user' | 'assistant'",
               description: 'The role of the message.',
             },
-            {
-              name: 'createdAt',
-              type: 'Date',
-              isOptional: true,
-              description: 'The creation date of the message.',
-            },
-            {
-              name: 'content',
-              type: 'string',
-              description: 'The content of the message.',
-            },
-            {
-              name: 'annotations',
-              type: 'Array<JSONValue>',
-              isOptional: true,
-              description:
-                'Additional annotations sent along with the message.',
-            },
             {
               name: 'parts',
-              type: 'Array<TextUIPart | ReasoningUIPart | ToolInvocationUIPart | SourceUIPart | StepStartUIPart>',
+              type: 'UIMessagePart[]',
               description:
-                'An array of message parts that are associated with the message.',
-              properties: [
-                {
-                  type: 'TextUIPart',
-                  description: 'A text part of the message.',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: '"text"',
-                    },
-                    {
-                      name: 'text',
-                      type: 'string',
-                      description: 'The text content of the part.',
-                    },
-                  ],
-                },
-                {
-                  type: 'ReasoningUIPart',
-                  description: 'A reasoning part of the message.',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: '"reasoning"',
-                    },
-                    {
-                      name: 'reasoning',
-                      type: 'string',
-                      description: 'The reasoning content of the part.',
-                    },
-                  ],
-                },
-                {
-                  type: 'ToolInvocationUIPart',
-                  description: 'A tool invocation part of the message.',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: '"tool-invocation"',
-                    },
-                    {
-                      name: 'toolInvocation',
-                      type: 'ToolInvocation',
-                      properties: [
-                        {
-                          type: 'ToolInvocation',
-                          parameters: [
-                            {
-                              name: 'state',
-                              type: "'partial-call'",
-                              description:
-                                'The state of the tool call when it was partially created.',
-                            },
-                            {
-                              name: 'toolCallId',
-                              type: 'string',
-                              description:
-                                'ID of the tool call. This ID is used to match the tool call with the tool result.',
-                            },
-                            {
-                              name: 'toolName',
-                              type: 'string',
-                              description:
-                                'Name of the tool that is being called.',
-                            },
-                            {
-                              name: 'args',
-                              type: 'any',
-                              description:
-                                'Partial arguments of the tool call. This is a JSON-serializable object.',
-                            },
-                          ],
-                        },
-                        {
-                          type: 'ToolInvocation',
-                          parameters: [
-                            {
-                              name: 'state',
-                              type: "'call'",
-                              description:
-                                'The state of the tool call when it was fully created.',
-                            },
-                            {
-                              name: 'toolCallId',
-                              type: 'string',
-                              description:
-                                'ID of the tool call. This ID is used to match the tool call with the tool result.',
-                            },
-                            {
-                              name: 'toolName',
-                              type: 'string',
-                              description:
-                                'Name of the tool that is being called.',
-                            },
-                            {
-                              name: 'args',
-                              type: 'any',
-                              description:
-                                'Arguments of the tool call. This is a JSON-serializable object that matches the tools input schema.',
-                            },
-                          ],
-                        },
-                        {
-                          type: 'ToolInvocation',
-                          parameters: [
-                            {
-                              name: 'state',
-                              type: "'result'",
-                              description:
-                                'The state of the tool call when the result is available.',
-                            },
-                            {
-                              name: 'toolCallId',
-                              type: 'string',
-                              description:
-                                'ID of the tool call. This ID is used to match the tool call with the tool result.',
-                            },
-                            {
-                              name: 'toolName',
-                              type: 'string',
-                              description:
-                                'Name of the tool that is being called.',
-                            },
-                            {
-                              name: 'args',
-                              type: 'any',
-                              description:
-                                'Arguments of the tool call. This is a JSON-serializable object that matches the tools input schema.',
-                            },
-                            {
-                              name: 'result',
-                              type: 'any',
-                              description: 'The result of the tool call.',
-                            },
-                          ],
-                        },
-                      ],
-                    },
-                  ],
-                },
-                {
-                  type: 'SourceUIPart',
-                  description: 'A source part of the message.',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: '"source"',
-                    },
-                    {
-                      name: 'source',
-                      type: 'Source',
-                      properties: [
-                        {
-                          type: 'Source',
-                          parameters: [
-                            {
-                              name: 'sourceType',
-                              type: "'url'",
-                              description: 'The type of the source.',
-                            },
-                            {
-                              name: 'id',
-                              type: 'string',
-                              description: 'ID of the source.',
-                            },
-                            {
-                              name: 'url',
-                              type: 'string',
-                              description: 'URL of the source.',
-                            },
-                            {
-                              name: 'title',
-                              type: 'string',
-                              isOptional: true,
-                              description: 'The title of the source.',
-                            },
-                          ],
-                        },
-                      ],
-                    },
-                  ],
-                },
-                {
-                  type: 'StepStartUIPart',
-                  description: 'A step start part of the message.',
-                  parameters: [
-                    {
-                      name: 'type',
-                      type: '"step-start"',
-                    },
-                  ],
-                },
-              ],
+                'The parts of the message. Use this for rendering the message in the UI.',
             },
             {
-              name: 'experimental_attachments',
-              type: 'Array<Attachment>',
+              name: 'metadata',
+              type: 'unknown',
               isOptional: true,
-              description:
-                'Additional attachments sent along with the message.',
-              properties: [
-                {
-                  type: 'Attachment',
-                  description:
-                    'An attachment object that can be used to describe the metadata of the file.',
-                  parameters: [
-                    {
-                      name: 'name',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'The name of the attachment, usually the file name.',
-                    },
-                    {
-                      name: 'contentType',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'A string indicating the media type of the file.',
-                    },
-                    {
-                      name: 'url',
-                      type: 'string',
-                      description:
-                        'The URL of the attachment. It can either be a URL to a hosted file or a Data URL.',
-                    },
-                  ],
-                },
-              ],
+              description: 'The metadata of the message.',
             },
           ],
         },
       ],
     },
+    {
+      name: 'status',
+      type: "'submitted' | 'streaming' | 'ready' | 'error'",
+      description:
+        'The current status of the chat: "ready" (idle), "submitted" (request sent), "streaming" (receiving response), or "error" (request failed).',
+    },
     {
       name: 'error',
       type: 'Error | undefined',
-      description: 'An error object returned by SWR, if any.',
+      description: 'The error object if an error occurred.',
     },
     {
-      name: 'append',
-      type: '(message: Message | CreateMessage, options?: ChatRequestOptions) => Promise<string | undefined>',
+      name: 'sendMessage',
+      type: '(message: CreateUIMessage | string, options?: ChatRequestOptions) => void',
       description:
-        'Function to append a message to the chat, triggering an API call for the AI response. It returns a promise that resolves to full response message content when the API call is successfully finished, or throws an error when the API call fails.',
+        'Function to send a new message to the chat. This will trigger an API call to generate the assistant response.',
       properties: [
         {
           type: 'ChatRequestOptions',
@@ -500,230 +355,39 @@ Allows you to easily create a conversational user interface for your chatbot app
               type: 'JSONValue',
               description: 'Additional data to be sent to the API endpoint.',
             },
-            {
-              name: 'experimental_attachments',
-              type: 'FileList | Array<Attachment>',
-              isOptional: true,
-              description:
-                'An array of attachments to be sent to the API endpoint.',
-              properties: [
-                {
-                  type: 'FileList',
-                  parameters: [
-                    {
-                      name: '',
-                      type: '',
-                      description:
-                        "A list of files that have been selected by the user using an <input type='file'> element. It's also used for a list of files dropped into web content when using the drag and drop API.",
-                    },
-                  ],
-                },
-                {
-                  type: 'Attachment',
-                  description:
-                    'An attachment object that can be used to describe the metadata of the file.',
-                  parameters: [
-                    {
-                      name: 'name',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'The name of the attachment, usually the file name.',
-                    },
-                    {
-                      name: 'contentType',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'A string indicating the media type of the file.',
-                    },
-                    {
-                      name: 'url',
-                      type: 'string',
-                      description:
-                        'The URL of the attachment. It can either be a URL to a hosted file or a Data URL.',
-                    },
-                  ],
-                },
-              ],
-            },
           ],
         },
       ],
     },
     {
-      name: 'reload',
-      type: '(options?: ChatRequestOptions) => Promise<string | undefined>',
+      name: 'regenerate',
+      type: '(options?: { messageId?: string }) => void',
       description:
-        "Function to reload the last AI chat response for the given chat history. If the last message isn't from the assistant, it will request the API to generate a new response.",
-      properties: [
-        {
-          type: 'ChatRequestOptions',
-          parameters: [
-            {
-              name: 'headers',
-              type: 'Record<string, string> | Headers',
-              description:
-                'Additional headers that should be to be passed to the API endpoint.',
-            },
-            {
-              name: 'body',
-              type: 'object',
-              description:
-                'Additional body JSON properties that should be sent to the API endpoint.',
-            },
-            {
-              name: 'data',
-              type: 'JSONValue',
-              description: 'Additional data to be sent to the API endpoint.',
-            },
-          ],
-        },
-      ],
+        'Function to regenerate the last assistant message or a specific message. If no messageId is provided, regenerates the last assistant message.',
     },
     {
       name: 'stop',
       type: '() => void',
-      description: 'Function to abort the current API request.',
-    },
-    {
-      name: 'experimental_resume',
-      type: '() => void',
-      description: 'Function to resume an ongoing chat generation stream.',
-    },
-    {
-      name: 'setMessages',
-      type: '(messages: Message[] | ((messages: Message[]) => Message[]) => void',
-      description:
-        'Function to update the `messages` state locally without triggering an API call.',
-    },
-    {
-      name: 'input',
-      type: 'string',
-      description: 'The current value of the input field.',
-    },
-    {
-      name: 'setInput',
-      type: 'React.Dispatch<React.SetStateAction<string>>',
-      description: 'Function to update the `input` value.',
-    },
-    {
-      name: 'handleInputChange',
-      type: '(event: any) => void',
       description:
-        "Handler for the `onChange` event of the input field to control the input's value.",
+        'Function to abort the current streaming response from the assistant.',
     },
     {
-      name: 'handleSubmit',
-      type: '(event?: { preventDefault?: () => void }, options?: ChatRequestOptions) => void',
-      description:
-        'Form submission handler that automatically resets the input field and appends a user message. You can use the `options` parameter to send additional data, headers and more to the server.',
-      properties: [
-        {
-          type: 'ChatRequestOptions',
-          parameters: [
-            {
-              name: 'headers',
-              type: 'Record<string, string> | Headers',
-              description:
-                'Additional headers that should be to be passed to the API endpoint.',
-            },
-            {
-              name: 'body',
-              type: 'object',
-              description:
-                'Additional body JSON properties that should be sent to the API endpoint.',
-            },
-            {
-              name: 'data',
-              type: 'JSONValue',
-              description: 'Additional data to be sent to the API endpoint.',
-            },
-            {
-              name: 'allowEmptySubmit',
-              type: 'boolean',
-              isOptional: true,
-              description:
-                'A boolean that determines whether to allow submitting an empty input that triggers a generation. Defaults to `false`.',
-            },
-            {
-              name: 'experimental_attachments',
-              type: 'FileList | Array<Attachment>',
-              isOptional: true,
-              description:
-                'An array of attachments to be sent to the API endpoint.',
-              properties: [
-                {
-                  type: 'FileList',
-                  parameters: [
-                    {
-                      name: '',
-                      type: '',
-                      description:
-                        "A list of files that have been selected by the user using an <input type='file'> element. It's also used for a list of files dropped into web content when using the drag and drop API.",
-                    },
-                  ],
-                },
-                {
-                  type: 'Attachment',
-                  description:
-                    'An attachment object that can be used to describe the metadata of the file.',
-                  parameters: [
-                    {
-                      name: 'name',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'The name of the attachment, usually the file name.',
-                    },
-                    {
-                      name: 'contentType',
-                      type: 'string',
-                      isOptional: true,
-                      description:
-                        'A string indicating the media type of the file.',
-                    },
-                    {
-                      name: 'url',
-                      type: 'string',
-                      description:
-                        'The URL of the attachment. It can either be a URL to a hosted file or a Data URL.',
-                    },
-                  ],
-                },
-              ],
-            },
-          ],
-        },
-      ],
-    },
-    {
-      name: 'status',
-      type: '"submitted" | "streaming" | "ready" | "error"',
+      name: 'resumeStream',
+      type: '() => void',
       description:
-        'Status of the chat request: submitted (message sent to API), streaming (receiving response chunks), ready (response complete), or error (request failed).',
-    },
-    {
-      name: 'id',
-      type: 'string',
-      description: 'The unique identifier of the chat.',
+        'Function to resume an interrupted streaming response. Useful when a network error occurs during streaming.',
     },
     {
-      name: 'data',
-      type: 'JSONValue[]',
-      description: 'Data returned from StreamData.',
-    },
-    {
-      name: 'setData',
-      type: '(data: JSONValue[] | undefined | ((data: JSONValue[] | undefined) => JSONValue[] | undefined)) => void',
+      name: 'addToolResult',
+      type: '(options: { tool: string; toolCallId: string; output: unknown }) => void',
       description:
-        'Function to update the `data` state which contains data from StreamData.',
+        'Function to add a tool result to the chat. This will update the chat messages with the tool result. If sendAutomaticallyWhen is configured, it may trigger an automatic submission.',
     },
     {
-      name: 'addToolResult',
-      type: '({toolCallId: string; result: any;}) => void',
+      name: 'setMessages',
+      type: '(messages: UIMessage[] | ((messages: UIMessage[]) => UIMessage[])) => void',
       description:
-        'Function to add a tool result to the chat. This will update the chat messages with the tool result and call the API route if all tool results for the last message are available.',
+        'Function to update the messages state locally without triggering an API call. Useful for optimistic updates.',
     },
   ]}
 />
@@ -732,3 +396,4 @@ Allows you to easily create a conversational user interface for your chatbot app
 
 - [Chatbot](/docs/ai-sdk-ui/chatbot)
 - [Chatbot with Tools](/docs/ai-sdk-ui/chatbot-with-tool-calling)
+- [UIMessage](/docs/reference/ai-sdk-core/ui-message)
diff --git a/content/docs/07-reference/02-ai-sdk-ui/03-use-object.mdx b/content/docs/07-reference/02-ai-sdk-ui/03-use-object.mdx
index a47a6b0f5b20..c020866cec49 100644
--- a/content/docs/07-reference/02-ai-sdk-ui/03-use-object.mdx
+++ b/content/docs/07-reference/02-ai-sdk-ui/03-use-object.mdx
@@ -157,6 +157,11 @@ export default function Page() {
       type: '() => void',
       description: 'Function to abort the current API request.',
     },
+    {
+      name: 'clear',
+      type: '() => void',
+      description: 'Function to clear the object state.',
+    },
   ]}
 />
 
diff --git a/content/docs/07-reference/02-ai-sdk-ui/31-convert-to-model-messages.mdx b/content/docs/07-reference/02-ai-sdk-ui/31-convert-to-model-messages.mdx
index 2690b9fb562c..b7e7b16eabc6 100644
--- a/content/docs/07-reference/02-ai-sdk-ui/31-convert-to-model-messages.mdx
+++ b/content/docs/07-reference/02-ai-sdk-ui/31-convert-to-model-messages.mdx
@@ -5,11 +5,6 @@ description: Convert useChat messages to ModelMessages for AI functions (API Ref
 
 # `convertToModelMessages()`
 
-<Note title="warning">
-  The `convertToModelMessages` function is no longer required. The AI SDK now
-  automatically converts the incoming messages to the `ModelMessage` format.
-</Note>
-
 The `convertToModelMessages` function is used to transform an array of UI messages from the `useChat` hook into an array of `ModelMessage` objects. These `ModelMessage` objects are compatible with AI core functions like `streamText`.
 
 ```ts filename="app/api/chat/route.ts"
@@ -78,7 +73,7 @@ import { z } from 'zod';
 const screenshotTool = tool({
   parameters: z.object({}),
   execute: async () => 'imgbase64',
-  experimental_toToolResultContent: result => [{ type: 'image', data: result }],
+  toModelOutput: result => [{ type: 'image', data: result }],
 });
 
 const result = streamText({
@@ -91,4 +86,4 @@ const result = streamText({
 });
 ```
 
-Tools can implement the optional `experimental_toToolResultContent` method to transform their results into multi-modal content. The content is an array of content parts, where each part has a `type` (e.g., 'text', 'image') and corresponding data.
+Tools can implement the optional `toModelOutput` method to transform their results into multi-modal content. The content is an array of content parts, where each part has a `type` (e.g., 'text', 'image') and corresponding data.
diff --git a/content/docs/07-reference/02-ai-sdk-ui/32-append-response-messages.mdx b/content/docs/07-reference/02-ai-sdk-ui/32-append-response-messages.mdx
deleted file mode 100644
index 2507d2f7cbd3..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/32-append-response-messages.mdx
+++ /dev/null
@@ -1,48 +0,0 @@
----
-title: appendResponseMessages
-description: Appends ResponseMessage[] from an AI response to an existing array of UI messages, generating timestamps and reusing IDs for useChat (API Reference)
----
-
-# `appendResponseMessages()`
-
-Appends an array of ResponseMessage objects (from the AI response) to an existing array of UI messages. It reuses the existing IDs from the response messages, generates new timestamps, and merges tool-call results with the previous assistant message (if any). This is useful for maintaining a unified message history when working with AI responses in a client-side chat application.
-
-## Import
-
-<Snippet text={`import { appendResponseMessages } from "ai"`} prompt={false} />
-
-## API Signature
-
-### Parameters
-
-<PropertiesTable
-  content={[
-    {
-      name: 'messages',
-      type: 'Message[]',
-      description:
-        'An existing array of UI messages for useChat (usually from state).',
-    },
-    {
-      name: 'responseMessages',
-      type: 'ResponseMessage[]',
-      description:
-        'The new array of AI messages returned from the AI service to be appended. For example, "assistant" messages get added as new items, while tool-call results (role: "tool") are merged with the previous assistant message.',
-    },
-  ]}
-/>
-
-### Returns
-
-An updated array of Message objects.
-
-<PropertiesTable
-  content={[
-    {
-      name: 'Message[]',
-      type: 'Array',
-      description:
-        'A new array of UI messages with the appended AI response messages (and updated tool-call results for the preceding assistant message).',
-    },
-  ]}
-/>
diff --git a/content/docs/07-reference/02-ai-sdk-ui/33-append-client-message.mdx b/content/docs/07-reference/02-ai-sdk-ui/33-append-client-message.mdx
deleted file mode 100644
index 7b3541691b7a..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/33-append-client-message.mdx
+++ /dev/null
@@ -1,46 +0,0 @@
----
-title: appendClientMessage
-description: Appends or updates a client Message to an existing array of UI messages for useChat (API Reference)
----
-
-# `appendClientMessage()`
-
-Appends a client Message object to an existing array of UI messages. If the last message in the array has the same ID as the new message, it will replace the existing message instead of appending. This is useful for maintaining a unified message history in a client-side chat application, especially when updating existing messages.
-
-## Import
-
-<Snippet text={`import { appendClientMessage } from "ai"`} prompt={false} />
-
-## API Signature
-
-### Parameters
-
-<PropertiesTable
-  content={[
-    {
-      name: 'messages',
-      type: 'Message[]',
-      description:
-        'An existing array of UI messages for useChat (usually from state).',
-    },
-    {
-      name: 'message',
-      type: 'Message',
-      description:
-        'The new client message to be appended or used to replace an existing message with the same ID.',
-    },
-  ]}
-/>
-
-### Returns
-
-<PropertiesTable
-  content={[
-    {
-      name: 'Message[]',
-      type: 'Array',
-      description:
-        'A new array of UI messages with either the appended message or the updated message replacing the previous one with the same ID.',
-    },
-  ]}
-/>
diff --git a/content/docs/07-reference/02-ai-sdk-ui/40-create-data-stream.mdx b/content/docs/07-reference/02-ai-sdk-ui/40-create-data-stream.mdx
deleted file mode 100644
index 521214f0f835..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/40-create-data-stream.mdx
+++ /dev/null
@@ -1,97 +0,0 @@
----
-title: createDataStream
-description: Learn to use createDataStream helper function to stream additional data in your application.
----
-
-# `createDataStream`
-
-The `createDataStream` function allows you to stream additional data to the client (see [Streaming Data](/docs/ai-sdk-ui/streaming-data)).
-
-## Import
-
-<Snippet text={`import { createDataStream } from "ai"`} prompt={false} />
-
-## Example
-
-```tsx
-const stream = createDataStream({
-  async execute(dataStream) {
-    // Write data
-    dataStream.writeData({ value: 'Hello' });
-
-    // Write annotation
-    dataStream.writeMessageAnnotation({ type: 'status', value: 'processing' });
-
-    // Merge another stream
-    const otherStream = getAnotherStream();
-    dataStream.merge(otherStream);
-  },
-  onError: error => `Custom error: ${error.message}`,
-});
-```
-
-## API Signature
-
-### Parameters
-
-<PropertiesTable
-  content={[
-    {
-      name: 'execute',
-      type: '(dataStream: DataStreamWriter) => Promise<void> | void',
-      description:
-        'A function that receives a DataStreamWriter instance and can use it to write data to the stream.',
-      properties: [
-        {
-          type: 'DataStreamWriter',
-          parameters: [
-            {
-              name: 'write',
-              type: '(data: DataStreamText) => void',
-              description: 'Appends a data part to the stream.',
-            },
-            {
-              name: 'writeData',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a data part to the stream.',
-            },
-            {
-              name: 'writeMessageAnnotation',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a message annotation to the stream.',
-            },
-            {
-              name: 'writeSource',
-              type: '(source: Source) => void',
-              description: 'Appends a source part to the stream.',
-            },
-            {
-              name: 'merge',
-              type: '(stream: ReadableStream<DataStreamText>) => void',
-              description:
-                'Merges the contents of another stream to this stream.',
-            },
-            {
-              name: 'onError',
-              type: '((error: unknown) => string) | undefined',
-              description:
-                'Error handler that is used by the data stream writer. This is intended for forwarding when merging streams to prevent duplicated error masking.',
-            },
-          ],
-        },
-      ],
-    },
-    {
-      name: 'onError',
-      type: '(error: unknown) => string',
-      description:
-        'A function that handles errors and returns an error message string. By default, it returns "An error occurred."',
-    },
-  ]}
-/>
-
-### Returns
-
-`ReadableStream<DataStreamText>`
-
-A readable stream that emits formatted data stream parts.
diff --git a/content/docs/07-reference/02-ai-sdk-ui/40-create-ui-message-stream.mdx b/content/docs/07-reference/02-ai-sdk-ui/40-create-ui-message-stream.mdx
new file mode 100644
index 000000000000..0dd0e538228c
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/40-create-ui-message-stream.mdx
@@ -0,0 +1,136 @@
+---
+title: createUIMessageStream
+description: API Reference for createUIMessageStream.
+---
+
+# `createUIMessageStream`
+
+The `createUIMessageStream` function allows you to create a readable stream for UI messages with advanced features like message merging, error handling, and finish callbacks.
+
+## Import
+
+<Snippet text={`import { createUIMessageStream } from "ai"`} prompt={false} />
+
+## Example
+
+```tsx
+const existingMessages: UIMessage[] = [
+  /* ... */
+];
+
+const stream = createUIMessageStream({
+  async execute({ writer }) {
+    // Write a message chunk
+    writer.write({
+      type: 'text-delta',
+      textDelta: 'Hello',
+    });
+
+    // Merge another stream from streamText
+    const result = streamText({
+      model: openai('gpt-4o'),
+      prompt: 'Write a haiku about AI',
+    });
+
+    writer.merge(result.toUIMessageStream());
+  },
+  onError: error => `Custom error: ${error.message}`,
+  originalMessages: existingMessages,
+  onFinish: ({ messages, isContinuation, responseMessage }) => {
+    console.log('Stream finished with messages:', messages);
+  },
+});
+```
+
+## API Signature
+
+### Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'execute',
+      type: '(options: { writer: UIMessageStreamWriter }) => Promise<void> | void',
+      description:
+        'A function that receives a writer instance and can use it to write UI message chunks to the stream.',
+      properties: [
+        {
+          type: 'UIMessageStreamWriter',
+          parameters: [
+            {
+              name: 'write',
+              type: '(part: UIMessageChunk) => void',
+              description: 'Writes a UI message chunk to the stream.',
+            },
+            {
+              name: 'merge',
+              type: '(stream: ReadableStream<UIMessageChunk>) => void',
+              description:
+                'Merges the contents of another UI message stream into this stream.',
+            },
+            {
+              name: 'onError',
+              type: '(error: unknown) => string',
+              description:
+                'Error handler that is used by the stream writer for handling errors in merged streams.',
+            },
+          ],
+        },
+      ],
+    },
+    {
+      name: 'onError',
+      type: '(error: unknown) => string',
+      description:
+        'A function that handles errors and returns an error message string. By default, it returns the error message.',
+    },
+    {
+      name: 'originalMessages',
+      type: 'UIMessage[] | undefined',
+      description:
+        'The original messages. If provided, persistence mode is assumed and a message ID is provided for the response message.',
+    },
+    {
+      name: 'onFinish',
+      type: '(options: { messages: UIMessage[]; isContinuation: boolean; responseMessage: UIMessage }) => void | undefined',
+      description:
+        'A callback function that is called when the stream finishes.',
+      properties: [
+        {
+          type: 'FinishOptions',
+          parameters: [
+            {
+              name: 'messages',
+              type: 'UIMessage[]',
+              description: 'The updated list of UI messages.',
+            },
+            {
+              name: 'isContinuation',
+              type: 'boolean',
+              description:
+                'Indicates whether the response message is a continuation of the last original message, or if a new message was created.',
+            },
+            {
+              name: 'responseMessage',
+              type: 'UIMessage',
+              description:
+                'The message that was sent to the client as a response (including the original message if it was extended).',
+            },
+          ],
+        },
+      ],
+    },
+    {
+      name: 'generateId',
+      type: 'IdGenerator | undefined',
+      description:
+        'A function to generate unique IDs for messages. Uses the default ID generator if not provided.',
+    },
+  ]}
+/>
+
+### Returns
+
+`ReadableStream<UIMessageChunk>`
+
+A readable stream that emits UI message chunks. The stream automatically handles error propagation, merging of multiple streams, and proper cleanup when all operations are complete.
diff --git a/content/docs/07-reference/02-ai-sdk-ui/41-create-data-stream-response.mdx b/content/docs/07-reference/02-ai-sdk-ui/41-create-data-stream-response.mdx
deleted file mode 100644
index cc7aa0bfae9a..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/41-create-data-stream-response.mdx
+++ /dev/null
@@ -1,120 +0,0 @@
----
-title: createDataStreamResponse
-description: Learn to use createDataStreamResponse helper function to create a Response object with streaming data.
----
-
-# `createDataStreamResponse`
-
-The `createDataStreamResponse` function creates a Response object that streams data to the client (see [Streaming Data](/docs/ai-sdk-ui/streaming-data)).
-
-## Import
-
-<Snippet
-  text={`import { createDataStreamResponse } from "ai"`}
-  prompt={false}
-/>
-
-## Example
-
-```tsx
-const response = createDataStreamResponse({
-  status: 200,
-  statusText: 'OK',
-  headers: {
-    'Custom-Header': 'value',
-  },
-  async execute(dataStream) {
-    // Write data
-    dataStream.writeData({ value: 'Hello' });
-
-    // Write annotation
-    dataStream.writeMessageAnnotation({ type: 'status', value: 'processing' });
-
-    // Merge another stream
-    const otherStream = getAnotherStream();
-    dataStream.merge(otherStream);
-  },
-  onError: error => `Custom error: ${error.message}`,
-});
-```
-
-## API Signature
-
-### Parameters
-
-<PropertiesTable
-  content={[
-    {
-      name: 'status',
-      type: 'number',
-      description: 'The status code for the response.',
-    },
-    {
-      name: 'statusText',
-      type: 'string',
-      description: 'The status text for the response.',
-    },
-    {
-      name: 'headers',
-      type: 'Headers | Record<string, string>',
-      description: 'Additional headers for the response.',
-    },
-    {
-      name: 'execute',
-      type: '(dataStream: DataStreamWriter) => Promise<void> | void',
-      description:
-        'A function that receives a DataStreamWriter instance and can use it to write data to the stream.',
-      properties: [
-        {
-          type: 'DataStreamWriter',
-          parameters: [
-            {
-              name: 'write',
-              type: '(data: DataStreamText) => void',
-              description: 'Appends a data part to the stream.',
-            },
-            {
-              name: 'writeData',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a data part to the stream.',
-            },
-            {
-              name: 'writeMessageAnnotation',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a message annotation to the stream.',
-            },
-            {
-              name: 'writeSource',
-              type: '(source: Source) => void',
-              description: 'Appends a source part to the stream.',
-            },
-            {
-              name: 'merge',
-              type: '(stream: ReadableStream<DataStreamText>) => void',
-              description:
-                'Merges the contents of another stream to this stream.',
-            },
-            {
-              name: 'onError',
-              type: '((error: unknown) => string) | undefined',
-              description:
-                'Error handler that is used by the data stream writer. This is intended for forwarding when merging streams to prevent duplicated error masking.',
-            },
-          ],
-        },
-      ],
-    },
-    {
-      name: 'onError',
-      type: '(error: unknown) => string',
-      description:
-        'A function that handles errors and returns an error message string. By default, it returns "An error occurred."',
-    },
-  ]}
-/>
-
-### Returns
-
-`Response`
-
-A Response object that streams formatted data stream parts with the specified status, headers, and content.
diff --git a/content/docs/07-reference/02-ai-sdk-ui/41-create-ui-message-stream-response.mdx b/content/docs/07-reference/02-ai-sdk-ui/41-create-ui-message-stream-response.mdx
new file mode 100644
index 000000000000..a99e4949d070
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/41-create-ui-message-stream-response.mdx
@@ -0,0 +1,108 @@
+---
+title: createUIMessageStreamResponse
+description: API Reference for createUIMessageStreamResponse.
+---
+
+# `createUIMessageStreamResponse`
+
+The `createUIMessageStreamResponse` function creates a Response object that streams UI messages to the client.
+
+## Import
+
+<Snippet
+  text={`import { createUIMessageStreamResponse } from "ai"`}
+  prompt={false}
+/>
+
+## Example
+
+```tsx
+import { createUIMessageStream, createUIMessageStreamResponse } from 'ai';
+
+const response = createUIMessageStreamResponse({
+  status: 200,
+  statusText: 'OK',
+  headers: {
+    'Custom-Header': 'value',
+  },
+  stream: createUIMessageStream({
+    execute({ writer }) {
+      // Write custom data
+      writer.write({
+        type: 'data',
+        value: { message: 'Hello' },
+      });
+
+      // Write text content
+      writer.write({
+        type: 'text',
+        value: 'Hello, world!',
+      });
+
+      // Write source information
+      writer.write({
+        type: 'source-url',
+        value: {
+          type: 'source',
+          id: 'source-1',
+          url: 'https://example.com',
+          title: 'Example Source',
+        },
+      });
+
+      // Merge with LLM stream
+      const result = streamText({
+        model: openai('gpt-4'),
+        prompt: 'Say hello',
+      });
+
+      writer.merge(result.toUIMessageStream());
+    },
+  }),
+});
+```
+
+## API Signature
+
+### Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'stream',
+      type: 'ReadableStream<UIMessageChunk>',
+      description: 'The UI message stream to send to the client.',
+    },
+    {
+      name: 'status',
+      type: 'number',
+      isOptional: true,
+      description: 'The status code for the response. Defaults to 200.',
+    },
+    {
+      name: 'statusText',
+      type: 'string',
+      isOptional: true,
+      description: 'The status text for the response.',
+    },
+    {
+      name: 'headers',
+      type: 'Headers | Record<string, string>',
+      isOptional: true,
+      description: 'Additional headers for the response.',
+    },
+    {
+      name: 'consumeSseStream',
+      type: '(options: { stream: ReadableStream<string> }) => PromiseLike<void> | void',
+      isOptional: true,
+      description:
+        'Optional callback to consume the Server-Sent Events stream.',
+    },
+  ]}
+/>
+
+### Returns
+
+`Response`
+
+A Response object that streams UI message chunks with the specified status, headers, and content.
diff --git a/content/docs/07-reference/02-ai-sdk-ui/42-pipe-data-stream-to-response.mdx b/content/docs/07-reference/02-ai-sdk-ui/42-pipe-data-stream-to-response.mdx
deleted file mode 100644
index 822cc694bb2f..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/42-pipe-data-stream-to-response.mdx
+++ /dev/null
@@ -1,109 +0,0 @@
----
-title: pipeDataStreamToResponse
-description: Learn to use pipeDataStreamToResponse helper function to pipe streaming data to a ServerResponse object.
----
-
-# `pipeDataStreamToResponse`
-
-The `pipeDataStreamToResponse` function pipes streaming data to a Node.js ServerResponse object (see [Streaming Data](/docs/ai-sdk-ui/streaming-data)).
-
-## Import
-
-<Snippet
-  text={`import { pipeDataStreamToResponse } from "ai"`}
-  prompt={false}
-/>
-
-## Example
-
-```tsx
-pipeDataStreamToResponse(serverResponse, {
-  status: 200,
-  statusText: 'OK',
-  headers: {
-    'Custom-Header': 'value',
-  },
-  async execute(dataStream) {
-    // Write data
-    dataStream.writeData({ value: 'Hello' });
-
-    // Write annotation
-    dataStream.writeMessageAnnotation({ type: 'status', value: 'processing' });
-
-    // Merge another stream
-    const otherStream = getAnotherStream();
-    dataStream.merge(otherStream);
-  },
-  onError: error => `Custom error: ${error.message}`,
-});
-```
-
-## API Signature
-
-### Parameters
-
-<PropertiesTable
-  content={[
-    {
-      name: 'response',
-      type: 'ServerResponse',
-      description: 'The Node.js ServerResponse object to pipe the data to.',
-    },
-    {
-      name: 'status',
-      type: 'number',
-      description: 'The status code for the response.',
-    },
-    {
-      name: 'statusText',
-      type: 'string',
-      description: 'The status text for the response.',
-    },
-    {
-      name: 'headers',
-      type: 'Headers | Record<string, string>',
-      description: 'Additional headers for the response.',
-    },
-    {
-      name: 'execute',
-      type: '(dataStream: DataStreamWriter) => Promise<void> | void',
-      description:
-        'A function that receives a DataStreamWriter instance and can use it to write data to the stream.',
-      properties: [
-        {
-          type: 'DataStreamWriter',
-          parameters: [
-            {
-              name: 'writeData',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a data part to the stream.',
-            },
-            {
-              name: 'writeMessageAnnotation',
-              type: '(value: JSONValue) => void',
-              description: 'Appends a message annotation to the stream.',
-            },
-            {
-              name: 'merge',
-              type: '(stream: ReadableStream<DataStreamText>) => void',
-              description:
-                'Merges the contents of another stream to this stream.',
-            },
-            {
-              name: 'onError',
-              type: '((error: unknown) => string) | undefined',
-              description:
-                'Error handler that is used by the data stream writer. This is intended for forwarding when merging streams to prevent duplicated error masking.',
-            },
-          ],
-        },
-      ],
-    },
-    {
-      name: 'onError',
-      type: '(error: unknown) => string',
-      description:
-        'A function that handles errors and returns an error message string. By default, it returns "An error occurred."',
-    },
-  ]}
-/>
diff --git a/content/docs/07-reference/02-ai-sdk-ui/42-pipe-ui-message-stream-to-response.mdx b/content/docs/07-reference/02-ai-sdk-ui/42-pipe-ui-message-stream-to-response.mdx
new file mode 100644
index 000000000000..ef2b165e4f9f
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/42-pipe-ui-message-stream-to-response.mdx
@@ -0,0 +1,73 @@
+---
+title: pipeUIMessageStreamToResponse
+description: Learn to use pipeUIMessageStreamToResponse helper function to pipe streaming data to a ServerResponse object.
+---
+
+# `pipeUIMessageStreamToResponse`
+
+The `pipeUIMessageStreamToResponse` function pipes streaming data to a Node.js ServerResponse object (see [Streaming Data](/docs/ai-sdk-ui/streaming-data)).
+
+## Import
+
+<Snippet
+  text={`import { pipeUIMessageStreamToResponse } from "ai"`}
+  prompt={false}
+/>
+
+## Example
+
+```tsx
+pipeUIMessageStreamToResponse({
+  response: serverResponse,
+  status: 200,
+  statusText: 'OK',
+  headers: {
+    'Custom-Header': 'value',
+  },
+  stream: myUIMessageStream,
+  consumeSseStream: ({ stream }) => {
+    // Optional: consume the SSE stream independently
+    console.log('Consuming SSE stream:', stream);
+  },
+});
+```
+
+## API Signature
+
+### Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'response',
+      type: 'ServerResponse',
+      description: 'The Node.js ServerResponse object to pipe the data to.',
+    },
+    {
+      name: 'stream',
+      type: 'ReadableStream<UIMessageChunk>',
+      description: 'The UI message stream to pipe to the response.',
+    },
+    {
+      name: 'status',
+      type: 'number',
+      description: 'The status code for the response.',
+    },
+    {
+      name: 'statusText',
+      type: 'string',
+      description: 'The status text for the response.',
+    },
+    {
+      name: 'headers',
+      type: 'Headers | Record<string, string>',
+      description: 'Additional headers for the response.',
+    },
+    {
+      name: 'consumeSseStream',
+      type: '({ stream }: { stream: ReadableStream }) => void',
+      description:
+        'Optional function to consume the SSE stream independently. The stream is teed and this function receives a copy.',
+    },
+  ]}
+/>
diff --git a/content/docs/07-reference/02-ai-sdk-ui/43-read-ui-message-stream.mdx b/content/docs/07-reference/02-ai-sdk-ui/43-read-ui-message-stream.mdx
new file mode 100644
index 000000000000..d35a82415647
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/43-read-ui-message-stream.mdx
@@ -0,0 +1,57 @@
+---
+title: readUIMessageStream
+description: API Reference for readUIMessageStream.
+---
+
+# readUIMessageStream
+
+Transforms a stream of `UIMessageChunk`s into an `AsyncIterableStream` of `UIMessage`s.
+
+UI message streams are useful outside of Chat use cases, e.g. for terminal UIs, custom stream consumption on the client, or RSC (React Server Components).
+
+## Import
+
+```tsx
+import { readUIMessageStream } from 'ai';
+```
+
+## API Signature
+
+### Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'message',
+      type: 'UIMessage',
+      isOptional: true,
+      description:
+        'The last assistant message to use as a starting point when the conversation is resumed. Otherwise undefined.',
+    },
+    {
+      name: 'stream',
+      type: 'ReadableStream<UIMessageChunk>',
+      description: 'The stream of UIMessageChunk objects to read.',
+    },
+    {
+      name: 'onError',
+      type: '(error: unknown) => void',
+      isOptional: true,
+      description:
+        'A function that is called when an error occurs during stream processing.',
+    },
+    {
+      name: 'terminateOnError',
+      type: 'boolean',
+      isOptional: true,
+      description:
+        'Whether to terminate the stream if an error occurs. Defaults to false.',
+    },
+  ]}
+/>
+
+### Returns
+
+An `AsyncIterableStream` of `UIMessage`s. Each stream part represents a different state of the same message as it is being completed.
+
+For comprehensive examples and use cases, see [Reading UI Message Streams](/docs/ai-sdk-ui/reading-ui-message-streams).
diff --git a/content/docs/07-reference/02-ai-sdk-ui/45-stream-data.mdx b/content/docs/07-reference/02-ai-sdk-ui/45-stream-data.mdx
deleted file mode 100644
index c9a8ee7f3319..000000000000
--- a/content/docs/07-reference/02-ai-sdk-ui/45-stream-data.mdx
+++ /dev/null
@@ -1,55 +0,0 @@
----
-title: StreamData
-description: Learn to use streamData helper function in your application.
----
-
-# `StreamData`
-
-<Note type="warning">
-
-The `StreamData` class is deprecated and will be removed in a future version of AI SDK.
-Please use `createDataStream`, `createDataStreamResponse`, and `pipeDataStreamToResponse` instead.
-
-</Note>
-
-The `StreamData` class allows you to stream additional data to the client (see [Streaming Data](/docs/ai-sdk-ui/streaming-data)).
-
-## Import
-
-### React
-
-<Snippet text={`import { StreamData } from "ai"`} prompt={false} />
-
-## API Signature
-
-### Constructor
-
-```ts
-const data = new StreamData();
-```
-
-### Methods
-
-#### `append`
-
-Appends a value to the stream data.
-
-```ts
-data.append(value: JSONValue)
-```
-
-#### `appendMessageAnnotation`
-
-Appends a message annotation to the stream data.
-
-```ts
-data.appendMessageAnnotation(annotation: JSONValue)
-```
-
-#### `close`
-
-Closes the stream data.
-
-```ts
-data.close();
-```
diff --git a/content/docs/07-reference/02-ai-sdk-ui/46-infer-ui-tools.mdx b/content/docs/07-reference/02-ai-sdk-ui/46-infer-ui-tools.mdx
new file mode 100644
index 000000000000..c26b7dd8f03f
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/46-infer-ui-tools.mdx
@@ -0,0 +1,99 @@
+---
+title: InferUITools
+description: API Reference for InferUITools.
+---
+
+# InferUITools
+
+Infers the input and output types of a `ToolSet`.
+
+This type helper is useful when working with tools in TypeScript to ensure type safety for your tool inputs and outputs in `UIMessage`s.
+
+## Import
+
+```tsx
+import { InferUITools } from 'ai';
+```
+
+## API Signature
+
+### Type Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'TOOLS',
+      type: 'ToolSet',
+      description: 'The tool set to infer types from.',
+    },
+  ]}
+/>
+
+### Returns
+
+A type that maps each tool in the tool set to its inferred input and output types.
+
+The resulting type has the shape:
+
+```typescript
+{
+  [NAME in keyof TOOLS & string]: {
+    input: InferToolInput<TOOLS[NAME]>;
+    output: InferToolOutput<TOOLS[NAME]>;
+  };
+}
+```
+
+## Examples
+
+### Basic Usage
+
+```tsx
+import { InferUITools } from 'ai';
+import { z } from 'zod';
+
+const tools = {
+  weather: {
+    description: 'Get the current weather',
+    parameters: z.object({
+      location: z.string().describe('The city and state'),
+    }),
+    execute: async ({ location }) => {
+      return `The weather in ${location} is sunny.`;
+    },
+  },
+  calculator: {
+    description: 'Perform basic arithmetic',
+    parameters: z.object({
+      operation: z.enum(['add', 'subtract', 'multiply', 'divide']),
+      a: z.number(),
+      b: z.number(),
+    }),
+    execute: async ({ operation, a, b }) => {
+      switch (operation) {
+        case 'add':
+          return a + b;
+        case 'subtract':
+          return a - b;
+        case 'multiply':
+          return a * b;
+        case 'divide':
+          return a / b;
+      }
+    },
+  },
+};
+
+// Infer the types from the tool set
+type MyUITools = InferUITools<typeof tools>;
+// This creates a type with:
+// {
+//   weather: { input: { location: string }; output: string };
+//   calculator: { input: { operation: 'add' | 'subtract' | 'multiply' | 'divide'; a: number; b: number }; output: number };
+// }
+```
+
+## Related
+
+- [`InferUITool`](/docs/reference/ai-sdk-ui/infer-ui-tool) - Infer types for a single tool
+- [`useChat`](/docs/reference/ai-sdk-ui/use-chat) - Chat hook that supports typed tools
diff --git a/content/docs/07-reference/02-ai-sdk-ui/47-infer-ui-tool.mdx b/content/docs/07-reference/02-ai-sdk-ui/47-infer-ui-tool.mdx
new file mode 100644
index 000000000000..59ea33f2ce63
--- /dev/null
+++ b/content/docs/07-reference/02-ai-sdk-ui/47-infer-ui-tool.mdx
@@ -0,0 +1,75 @@
+---
+title: InferUITool
+description: API Reference for InferUITool.
+---
+
+# InferUITool
+
+Infers the input and output types of a tool.
+
+This type helper is useful when working with individual tools to ensure type safety for your tool inputs and outputs in `UIMessage`s.
+
+## Import
+
+```tsx
+import { InferUITool } from 'ai';
+```
+
+## API Signature
+
+### Type Parameters
+
+<PropertiesTable
+  content={[
+    {
+      name: 'TOOL',
+      type: 'Tool',
+      description: 'The tool to infer types from.',
+    },
+  ]}
+/>
+
+### Returns
+
+A type that contains the inferred input and output types of the tool.
+
+The resulting type has the shape:
+
+```typescript
+{
+  input: InferToolInput<TOOL>;
+  output: InferToolOutput<TOOL>;
+}
+```
+
+## Examples
+
+### Basic Usage
+
+```tsx
+import { InferUITool } from 'ai';
+import { z } from 'zod';
+
+const weatherTool = {
+  description: 'Get the current weather',
+  parameters: z.object({
+    location: z.string().describe('The city and state'),
+  }),
+  execute: async ({ location }) => {
+    return `The weather in ${location} is sunny.`;
+  },
+};
+
+// Infer the types from the tool
+type WeatherUITool = InferUITool<typeof weatherTool>;
+// This creates a type with:
+// {
+//   input: { location: string };
+//   output: string;
+// }
+```
+
+## Related
+
+- [`InferUITools`](/docs/reference/ai-sdk-ui/infer-ui-tools) - Infer types for a tool set
+- [`ToolUIPart`](/docs/reference/ai-sdk-ui/tool-ui-part) - Tool part type for UI messages
diff --git a/content/docs/07-reference/02-ai-sdk-ui/index.mdx b/content/docs/07-reference/02-ai-sdk-ui/index.mdx
index f974ae41fe84..57beebfdf16c 100644
--- a/content/docs/07-reference/02-ai-sdk-ui/index.mdx
+++ b/content/docs/07-reference/02-ai-sdk-ui/index.mdx
@@ -71,6 +71,12 @@ AI SDK UI contains the following hooks:
         'Stream additional data to the client along with generations.',
       href: '/docs/reference/ai-sdk-ui/stream-data',
     },
+    {
+      title: 'readUIMessageStream',
+      description:
+        'Transform a stream of UIMessageChunk objects into an AsyncIterableStream of UIMessage objects.',
+      href: '/docs/reference/ai-sdk-ui/read-ui-message-stream',
+    },
   ]}
 />
 
diff --git a/content/docs/08-migration-guides/26-migration-guide-5-0.mdx b/content/docs/08-migration-guides/26-migration-guide-5-0.mdx
index 3b54317f111f..1fee662b5f93 100644
--- a/content/docs/08-migration-guides/26-migration-guide-5-0.mdx
+++ b/content/docs/08-migration-guides/26-migration-guide-5-0.mdx
@@ -18,6 +18,8 @@ description: Learn how to upgrade AI SDK 4.0 to 5.0 Beta.
 
 1. Backup your project. If you use a versioning control system, make sure all previous versions are committed.
 1. Upgrade to AI SDK 5.0.
+1. Automatically migrate your code using [codemods](#codemods).
+   > If you don't want to use codemods, we recommend resolving all deprecation warnings before upgrading to AI SDK 5.0.
 1. Follow the breaking changes guide below.
 1. Verify your project is working as expected.
 1. Commit your changes.
@@ -26,15 +28,66 @@ description: Learn how to upgrade AI SDK 4.0 to 5.0 Beta.
 
 You need to update the following packages to the following versions in your `package.json` file(s):
 
-- `ai` package: `5.0.0-beta`
-- `@ai-sdk/provider` package: `2.0.0-beta`
-- `@ai-sdk/provider-utils` package: `3.0.0-beta`
-- `@ai-sdk/*` packages: `2.0.0-beta` (other `@ai-sdk` packages)
+- `ai` package: `5.0.0@beta`
+- `@ai-sdk/provider` package: `2.0.0@beta`
+- `@ai-sdk/provider-utils` package: `3.0.0@beta`
+- `@ai-sdk/*` packages: `2.0.0@beta` (other `@ai-sdk` packages)
 
 Additionally, you need to update the following peer dependencies:
 
 - `zod` package: `3.25.0` or later
 
+An example upgrade command would be:
+
+```
+npm install ai@beta @ai-sdk/react@beta @ai-sdk/openai@beta zod@3.25.0
+```
+
+## Codemods
+
+The AI SDK provides Codemod transformations to help upgrade your codebase when a
+feature is deprecated, removed, or otherwise changed.
+
+Codemods are transformations that run on your codebase automatically. They
+allow you to easily apply many changes without having to manually go through
+every file.
+
+<Note>
+  Codemods are intended as a tool to help you with the upgrade process. They may
+  not cover all of the changes you need to make. You may need to make additional
+  changes manually.
+</Note>
+
+You can run all codemods provided as part of the 5.0 upgrade process by running
+the following command from the root of your project:
+
+```sh
+npx @ai-sdk/codemod@beta upgrade
+```
+
+To run only the v5 codemods (v4 → v5 migration):
+
+```sh
+npx @ai-sdk/codemod@beta v5
+```
+
+Individual codemods can be run by specifying the name of the codemod:
+
+```sh
+npx @ai-sdk/codemod@beta <codemod-name> <path>
+```
+
+For example, to run a specific v5 codemod:
+
+```sh
+npx @ai-sdk/codemod@beta v5/rename-format-stream-part src/
+```
+
+See also the [table of codemods](#codemod-table). In addition, the latest set of
+codemods can be found in the
+[`@ai-sdk/codemod`](https://github.com/vercel/ai/tree/main/packages/codemod/src/codemods)
+repository.
+
 ## AI SDK Core Changes
 
 ### generateText and streamText Changes
@@ -83,6 +136,33 @@ import { Message, CreateMessage } from 'ai';
 import { UIMessage, CreateUIMessage } from 'ai';
 ```
 
+##### `convertToCoreMessages` → `convertToModelMessages`
+
+```tsx filename="AI SDK 4.0"
+import { convertToCoreMessages, streamText } from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const result = await streamText({
+  model: openai('gpt-4'),
+  messages: convertToCoreMessages(messages),
+});
+```
+
+```tsx filename="AI SDK 5.0"
+import { convertToModelMessages, streamText } from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const result = await streamText({
+  model: openai('gpt-4'),
+  messages: convertToModelMessages(messages),
+});
+```
+
+<Note>
+  For more information about model messages, see the [Model Message
+  reference](/docs/reference/ai-sdk-core/model-message).
+</Note>
+
 ### UIMessage Changes
 
 #### Content → Parts Array
@@ -278,6 +358,113 @@ const stream = createUIMessageStream({
 return createUIMessageStreamResponse({ stream });
 ```
 
+### Custom Data Streaming: writeMessageAnnotation/writeData Removed
+
+The `writeMessageAnnotation` and `writeData` methods from `DataStreamWriter` have been removed. Instead, use custom data parts with the new `UIMessage` stream architecture.
+
+```tsx filename="AI SDK 4.0"
+import { openai } from '@ai-sdk/openai';
+import { createDataStreamResponse, streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  return createDataStreamResponse({
+    execute: dataStream => {
+      // Write general data
+      dataStream.writeData('call started');
+
+      const result = streamText({
+        model: openai('gpt-4o'),
+        messages,
+        onChunk() {
+          // Write message annotations
+          dataStream.writeMessageAnnotation({
+            status: 'streaming',
+            timestamp: Date.now(),
+          });
+        },
+        onFinish() {
+          // Write final annotations
+          dataStream.writeMessageAnnotation({
+            id: generateId(),
+            completed: true,
+          });
+
+          dataStream.writeData('call completed');
+        },
+      });
+
+      result.mergeIntoDataStream(dataStream);
+    },
+  });
+}
+```
+
+```tsx filename="AI SDK 5.0"
+import { openai } from '@ai-sdk/openai';
+import {
+  createUIMessageStream,
+  createUIMessageStreamResponse,
+  streamText,
+  generateId,
+} from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const stream = createUIMessageStream({
+    execute: ({ writer }) => {
+      const statusId = generateId();
+      // Write general data (transient - not added to message history)
+      writer.write({
+        type: 'data-status',
+        id: statusId,
+        data: { status: 'call started' },
+      });
+
+      // Generate shared IDs for data parts
+      const completionId = generateId();
+
+      const result = streamText({
+        model: openai('gpt-4o'),
+        messages,
+        onChunk() {
+          // Write data parts that update during streaming
+          writer.write({
+            type: 'data-status',
+            id: statusId,
+            data: {
+              status: 'streaming',
+              timestamp: Date.now(),
+            },
+          });
+        },
+        onFinish() {
+          // Write final data parts
+          writer.write({
+            type: 'data-status',
+            id: statusId,
+            data: {
+              status: 'completed',
+            },
+          });
+        },
+      });
+
+      writer.merge(result.toUIMessageStream());
+    },
+  });
+
+  return createUIMessageStreamResponse({ stream });
+}
+```
+
+<Note>
+  For more detailed information about streaming custom data in v5, see the
+  [Streaming Data guide](/docs/ai-sdk-ui/streaming-data).
+</Note>
+
 ##### Provider Metadata → Provider Options
 
 The `providerMetadata` input parameter has been renamed to `providerOptions`. Note that the returned metadata in results is still called `providerMetadata`.
@@ -338,6 +525,37 @@ const weatherTool = tool({
 });
 ```
 
+#### Tool Result Content: experimental_toToolResultContent → toModelOutput
+
+The `experimental_toToolResultContent` option has been renamed to `toModelOutput` and is no longer experimental.
+
+```tsx filename="AI SDK 4.0"
+const screenshotTool = tool({
+  description: 'Take a screenshot',
+  parameters: z.object({}),
+  execute: async () => {
+    const imageData = await takeScreenshot();
+    return imageData; // base64 string
+  },
+  experimental_toToolResultContent: result => [{ type: 'image', data: result }],
+});
+```
+
+```tsx filename="AI SDK 5.0"
+const screenshotTool = tool({
+  description: 'Take a screenshot',
+  inputSchema: z.object({}),
+  execute: async () => {
+    const imageData = await takeScreenshot();
+    return imageData;
+  },
+  toModelOutput: result => ({
+    type: 'content',
+    value: [{ type: 'media', mediaType: 'image/png', data: result }],
+  }),
+});
+```
+
 ### Tool Property Changes (args/result → input/output)
 
 Tool call and result properties have been renamed for better consistency with schemas.
@@ -370,6 +588,34 @@ for await (const part of result.fullStream) {
 }
 ```
 
+### Tool Call Streaming Now Default (toolCallStreaming Removed)
+
+The `toolCallStreaming` option has been removed in AI SDK 5.0. Tool call streaming is now always enabled by default.
+
+```tsx filename="AI SDK 4.0"
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages,
+  toolCallStreaming: true, // Optional parameter to enable streaming
+  tools: {
+    weatherTool,
+    searchTool,
+  },
+});
+```
+
+```tsx filename="AI SDK 5.0"
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages: convertToModelMessages(messages),
+  // toolCallStreaming removed - streaming is always enabled
+  tools: {
+    weatherTool,
+    searchTool,
+  },
+});
+```
+
 ### Tool Part Type Changes (UIMessage)
 
 In v5, UI tool parts use typed naming: `tool-${toolName}` instead of generic types.
@@ -399,6 +645,60 @@ In v5, UI tool parts use typed naming: `tool-${toolName}` instead of generic typ
 }
 ```
 
+### Tool UI Part State Changes
+
+Tool UI parts now use more granular states that better represent the streaming lifecycle and error handling.
+
+```tsx filename="AI SDK 4.0"
+// Old states
+{
+  message.parts.map(part => {
+    if (part.type === 'tool-invocation') {
+      switch (part.toolInvocation.state) {
+        case 'partial-call':
+          return <div>Loading...</div>;
+        case 'call':
+          return (
+            <div>
+              Tool called with {JSON.stringify(part.toolInvocation.args)}
+            </div>
+          );
+        case 'result':
+          return <div>Result: {part.toolInvocation.result}</div>;
+      }
+    }
+  });
+}
+```
+
+```tsx filename="AI SDK 5.0"
+// New granular states
+{
+  message.parts.map(part => {
+    switch (part.type) {
+      case 'tool-getWeatherInformation':
+        switch (part.state) {
+          case 'input-streaming':
+            return <pre>{JSON.stringify(part.input, null, 2)}</pre>;
+          case 'input-available':
+            return <div>Getting weather for {part.input.city}...</div>;
+          case 'output-available':
+            return <div>Weather: {part.output}</div>;
+          case 'output-error':
+            return <div>Error: {part.errorText}</div>;
+        }
+    }
+  });
+}
+```
+
+**State Changes:**
+
+- `partial-call` → `input-streaming` (tool input being streamed)
+- `call` → `input-available` (tool input complete, ready to execute)
+- `result` → `output-available` (tool execution successful)
+- New: `output-error` (tool execution failed)
+
 #### Media Type Standardization
 
 `mimeType` has been renamed to `mediaType` for consistency. Both image and file types are supported in model messages.
@@ -475,7 +775,7 @@ In `generateText()` and `streamText()` results, reasoning properties have been r
 
 ```tsx filename="AI SDK 4.0"
 const result = await generateText({
-  model: anthropic('claude-4-sonnet-20250514'),
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'Explain your reasoning',
 });
 
@@ -485,7 +785,7 @@ console.log(result.reasoningDetails); // Array of reasoning details
 
 ```tsx filename="AI SDK 5.0"
 const result = await generateText({
-  model: anthropic('claude-4-sonnet-20250514'),
+  model: anthropic('claude-sonnet-4-20250514'),
   prompt: 'Explain your reasoning',
 });
 
@@ -577,11 +877,6 @@ steps.forEach((step, index) => {
 
 For core functions like `generateText` and `streamText`, the `maxSteps` parameter has been replaced with `stopWhen`, which provides more flexible control over multi-step execution. The `stopWhen` parameter defines conditions for stopping the generation **when the last step contains tool results**. When multiple conditions are provided as an array, the generation stops if any condition is met.
 
-**Recommended Pattern:**
-
-- Use `stopWhen` in server-side functions (`generateText`/`streamText`) for your main stopping logic
-- Use `maxSteps > 1` in `useChat` for client-side tool execution limits
-
 ```tsx filename="AI SDK 4.0"
 // V4: Simple numeric limit
 const result = await generateText({
@@ -613,11 +908,6 @@ const result = await generateText({
   messages,
   stopWhen: hasToolCall('finalizeTask'), // Stop when finalizeTask tool is called
 });
-
-// Client-side - useChat still uses maxSteps for tool execution limits
-const { messages } = useChat({
-  maxSteps: 3, // Limit client-side tool execution rounds
-});
 ```
 
 **Common stopping patterns:**
@@ -700,6 +990,92 @@ import { useChat } from '@ai-sdk/react';
 
 The `useChat` hook has undergone significant changes in v5, with new transport architecture, removal of managed input state, and more.
 
+#### maxSteps Removal
+
+The `maxSteps` parameter has been removed from `useChat`. You should now use server-side `stopWhen` conditions for multi-step tool execution control, and manually submit tool results and trigger new messages for client-side tool calls.
+
+```tsx filename="AI SDK 4.0"
+const { messages, sendMessage } = useChat({
+  maxSteps: 5, // Automatic tool result submission
+});
+```
+
+```tsx filename="AI SDK 5.0"
+// Server-side: Use stopWhen for multi-step control
+import { streamText, convertToModelMessages, stepCountIs } from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const result = await streamText({
+  model: openai('gpt-4'),
+  messages: convertToModelMessages(messages),
+  stopWhen: stepCountIs(5), // Stop after 5 steps with tool calls
+});
+
+// Client-side: Configure automatic submission
+import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+
+const { messages, sendMessage, addToolResult } = useChat({
+  // Automatically submit when all tool results are available
+  sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+  async onToolCall({ toolCall }) {
+    const result = await executeToolCall(toolCall);
+
+    // Important: Don't await addToolResult inside onToolCall to avoid deadlocks
+    addToolResult({
+      tool: toolCall.toolName,
+      toolCallId: toolCall.toolCallId,
+      output: result,
+    });
+  },
+});
+```
+
+<Note>
+  Important: When using `sendAutomaticallyWhen`, don't use `await` with
+  `addToolResult` inside `onToolCall` as it can cause deadlocks. The `await` is
+  useful when you're not using automatic submission and need to ensure the
+  messages are updated before manually calling `sendMessage()`.
+</Note>
+
+This change provides more flexibility for handling tool calls and aligns client behavior with server-side multi-step execution patterns.
+
+For more details on the new tool submission approach, see the [Tool Result Submission Changes](#tool-result-submission-changes) section below.
+
+#### Initial Messages Renamed
+
+The `initialMessages` option has been renamed to `messages`.
+
+```tsx filename="AI SDK 4.0"
+import { useChat, type Message } from '@ai-sdk/react';
+
+function ChatComponent({ initialMessages }: { initialMessages: Message[] }) {
+  const { messages } = useChat({
+    initialMessages: initialMessages,
+    // ...
+  });
+
+  // your component
+}
+```
+
+```tsx filename="AI SDK 5.0"
+import { useChat, type UIMessage } from '@ai-sdk/react';
+
+function ChatComponent({ initialMessages }: { initialMessages: UIMessage[] }) {
+  const { messages } = useChat({
+    messages: initialMessages,
+    // ...
+  });
+
+  // your component
+}
+```
+
 #### Chat Transport Architecture
 
 Configuration is now handled through transport objects instead of direct API options.
@@ -921,6 +1297,82 @@ import type { RequestOptions } from 'ai';
 import type { CompletionRequestOptions } from 'ai';
 ```
 
+#### addToolResult Changes
+
+In the `addToolResult` function, the `result` parameter has been renamed to `output` for consistency with other tool-related APIs.
+
+```tsx filename="AI SDK 4.0"
+const { addToolResult } = useChat();
+
+// Add tool result with 'result' parameter
+addToolResult({
+  toolCallId: 'tool-call-123',
+  result: 'Weather: 72°F, sunny',
+});
+```
+
+```tsx filename="AI SDK 5.0"
+const { addToolResult } = useChat();
+
+// Add tool result with 'output' parameter and 'tool' name for type safety
+addToolResult({
+  tool: 'getWeather',
+  toolCallId: 'tool-call-123',
+  output: 'Weather: 72°F, sunny',
+});
+```
+
+#### Tool Result Submission Changes
+
+The automatic tool result submission behavior has been updated in `useChat` and the `Chat` component. You now have more control and flexibility over when tool results are submitted.
+
+- `onToolCall` no longer supports returning values to automatically submit tool results
+- You must explicitly call `addToolResult` to provide tool results
+- Use `sendAutomaticallyWhen` with `lastAssistantMessageIsCompleteWithToolCalls` helper for automatic submission
+- Important: Don't use `await` with `addToolResult` inside `onToolCall` to avoid deadlocks
+- The `maxSteps` parameter has been removed from the `Chat` component and `useChat` hook
+- For multi-step tool execution, use server-side `stopWhen` conditions instead (see [maxSteps Removal](#maxsteps-removal))
+
+```tsx filename="AI SDK 4.0"
+const { messages, sendMessage, addToolResult } = useChat({
+  maxSteps: 5, // Removed in v5
+
+  // Automatic submission by returning a value
+  async onToolCall({ toolCall }) {
+    if (toolCall.toolName === 'getLocation') {
+      const cities = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'];
+      return cities[Math.floor(Math.random() * cities.length)];
+    }
+  },
+});
+```
+
+```tsx filename="AI SDK 5.0"
+import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+
+const { messages, sendMessage, addToolResult } = useChat({
+  // Automatic submission with helper
+  sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+  async onToolCall({ toolCall }) {
+    if (toolCall.toolName === 'getLocation') {
+      const cities = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'];
+
+      // Important: Don't await inside onToolCall to avoid deadlocks
+      addToolResult({
+        tool: 'getLocation',
+        toolCallId: toolCall.toolCallId,
+        output: cities[Math.floor(Math.random() * cities.length)],
+      });
+    }
+  },
+});
+```
+
 #### Loading State Changes
 
 The deprecated `isLoading` helper has been removed in favor of `status`.
@@ -951,6 +1403,55 @@ const { messages } = useChat({
 });
 ```
 
+#### Dynamic Body Values
+
+In v4, the `body` option in useChat configuration would dynamically update with component state changes. In v5, the `body` value is only captured at the first render and remains static throughout the component lifecycle.
+
+```tsx filename="AI SDK 4.0"
+const [temperature, setTemperature] = useState(0.7);
+
+const { messages } = useChat({
+  api: '/api/chat',
+  body: {
+    temperature, // This would update dynamically in v4
+  },
+});
+```
+
+```tsx filename="AI SDK 5.0"
+const [temperature, setTemperature] = useState(0.7);
+
+// Option 1: Use request-level configuration (Recommended)
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({ api: '/api/chat' }),
+});
+
+// Pass dynamic values at request time
+sendMessage(
+  { text: input },
+  {
+    body: {
+      temperature, // Current temperature value at request time
+    },
+  },
+);
+
+// Option 2: Use function configuration with useRef
+const temperatureRef = useRef(temperature);
+temperatureRef.current = temperature;
+
+const { messages } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    body: () => ({
+      temperature: temperatureRef.current,
+    }),
+  }),
+});
+```
+
+For more details on request configuration, see the [Chatbot guide](/docs/ai-sdk-ui/chatbot#request-configuration).
+
 ### `@ai-sdk/vue` Changes
 
 The Vue.js integration has been completely restructured, replacing the `useChat` composable with a `Chat` class.
@@ -978,7 +1479,8 @@ const chat = new Chat({
   transport: new DefaultChatTransport({ api: '/api/chat' }),
 });
 
-const handleSubmit = () => {
+const handleSubmit = (e: Event) => {
+  e.preventDefault();
   chat.sendMessage({ text: input.value });
   input.value = '';
 };
@@ -1204,7 +1706,7 @@ const { response } = await embed(/* */);
 ```tsx filename="AI SDK 5.0"
 const { embeddings, usage } = await embedMany({
   maxParallelCalls: 2, // Limit parallel requests
-  model: openai.embedding('text-embedding-3-small'),
+  model: openai.textEmbeddingModel('text-embedding-3-small'),
   values: [
     'sunny day at the beach',
     'rainy afternoon in the city',
@@ -1621,6 +2123,40 @@ import { DataStreamToSSETransformStream } from 'ai';
 import { JsonToSseTransformStream } from 'ai';
 ```
 
+#### Error Handling: getErrorMessage → onError
+
+The `getErrorMessage` option in `toDataStreamResponse` has been replaced with `onError` in `toUIMessageStreamResponse`, providing more control over error forwarding to the client.
+
+By default, error messages are NOT sent to the client to prevent leaking sensitive information. The `onError` callback allows you to explicitly control what error information is forwarded to the client.
+
+```tsx filename="AI SDK 4.0"
+return result.toDataStreamResponse({
+  getErrorMessage: error => {
+    // Return sanitized error data to send to client
+    // Only return what you want the client to see!
+    return {
+      errorCode: 'STREAM_ERROR',
+      message: 'An error occurred while processing your request',
+      // In production, avoid sending error.message directly to prevent information leakage
+    };
+  },
+});
+```
+
+```tsx filename="AI SDK 5.0"
+return result.toUIMessageStreamResponse({
+  onError: error => {
+    // Return sanitized error data to send to client
+    // Only return what you want the client to see!
+    return {
+      errorCode: 'STREAM_ERROR',
+      message: 'An error occurred while processing your request',
+      // In production, avoid sending error.message directly to prevent information leakage
+    };
+  },
+});
+```
+
 ### Utility Changes
 
 #### ID Generation Changes
@@ -1904,6 +2440,136 @@ await generateText({
 });
 ```
 
+## Message Persistence Changes
+
+In v4, you would typically use helper functions like `appendResponseMessages` or `appendClientMessage` to format messages in the `onFinish` callback of `streamText`:
+
+```tsx filename="AI SDK 4.0"
+import {
+  streamText,
+  convertToModelMessages,
+  appendClientMessage,
+  appendResponseMessages,
+} from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const updatedMessages = appendClientMessage({
+  messages,
+  message: lastUserMessage,
+});
+
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages: updatedMessages,
+  experimental_generateMessageId: () => generateId(), // ID generation on streamText
+  onFinish: async ({ responseMessages, usage }) => {
+    // Use helper functions to format messages
+    const finalMessages = appendResponseMessages({
+      messages: updatedMessages,
+      responseMessages,
+    });
+
+    // Save formatted messages to database
+    await saveMessages(finalMessages);
+  },
+});
+```
+
+In v5, message persistence is now handled through the `toUIMessageStreamResponse` method, which automatically formats response messages in the `UIMessage` format:
+
+```tsx filename="AI SDK 5.0"
+import { streamText, convertToModelMessages, UIMessage } from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const messages: UIMessage[] = [
+  // Your existing messages in UIMessage format
+];
+
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages: convertToModelMessages(messages),
+  // experimental_generateMessageId removed from here
+});
+
+return result.toUIMessageStreamResponse({
+  originalMessages: messages, // Pass original messages for context
+  generateMessageId: () => generateId(), // ID generation moved here for UI messages
+  onFinish: ({ messages, responseMessage }) => {
+    // messages contains all messages (original + response) in UIMessage format
+    saveChat({ chatId, messages });
+
+    // responseMessage contains just the generated message in UIMessage format
+    saveMessage({ chatId, message: responseMessage });
+  },
+});
+```
+
+### Message ID Generation
+
+The `experimental_generateMessageId` option has been moved from `streamText` configuration to `toUIMessageStreamResponse`, as it's designed for use with `UIMessage`s rather than `ModelMessage`s.
+
+```tsx filename="AI SDK 4.0"
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages,
+  experimental_generateMessageId: () => generateId(),
+});
+```
+
+```tsx filename="AI SDK 5.0"
+const result = streamText({
+  model: openai('gpt-4o'),
+  messages: convertToModelMessages(messages),
+});
+
+return result.toUIMessageStreamResponse({
+  generateMessageId: () => generateId(), // No longer experimental
+  // ...
+});
+```
+
+For more details on message IDs and persistence, see the [Chatbot Message Persistence guide](/docs/ai-sdk-ui/chatbot-message-persistence#message-ids).
+
+### Using createUIMessageStream
+
+For more complex scenarios, especially when working with data parts, you can use `createUIMessageStream`:
+
+```tsx filename="AI SDK 5.0 - Advanced"
+import {
+  createUIMessageStream,
+  createUIMessageStreamResponse,
+  streamText,
+  convertToModelMessages,
+  UIMessage,
+} from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+const stream = createUIMessageStream({
+  originalMessages: messages,
+  execute: ({ writer }) => {
+    // Write custom data parts
+    writer.write({
+      type: 'data',
+      data: { status: 'processing', timestamp: Date.now() },
+    });
+
+    // Stream the AI response
+    const result = streamText({
+      model: openai('gpt-4o'),
+      messages: convertToModelMessages(messages),
+    });
+
+    writer.merge(result.toUIMessageStream());
+  },
+  onFinish: ({ messages }) => {
+    // messages contains all messages (original + response + data parts) in UIMessage format
+    saveChat({ chatId, messages });
+  },
+});
+
+return createUIMessageStreamResponse({ stream });
+```
+
 ## Provider & Model Changes
 
 ### OpenAI
@@ -1982,6 +2648,33 @@ const result = generateText({
 });
 ```
 
+### Google
+
+#### Search Grounding is now a provider defined tool
+
+Search Grounding is now called "Google Search" and is now a provider defined tool.
+
+```tsx filename="AI SDK 4.0"
+const { text, providerMetadata } = await generateText({
+  model: google('gemini-1.5-pro', {
+    useSearchGrounding: true,
+  }),
+  prompt: 'List the top 5 San Francisco news from the past week.',
+});
+```
+
+```tsx filename="AI SDK 5.0"
+import { google } from '@ai-sdk/google';
+const { text, sources, providerMetadata } = await generateText({
+  model: google('gemini-1.5-pro'),
+  prompt:
+    'List the top 5 San Francisco news from the past week.'
+  tools: {
+    google_search: google.tools.googleSearch({}),
+  },
+});
+```
+
 ### Amazon Bedrock
 
 #### Snake Case → Camel Case
@@ -2039,3 +2732,102 @@ import {
   ToolChoice,
 } from '@ai-sdk/provider-utils';
 ```
+
+## Codemod Table
+
+The following table lists available codemods for the AI SDK 5.0 upgrade
+process.
+For more information, see the [Codemods](#codemods) section.
+
+| Change                                           | Codemod                                               |
+| ------------------------------------------------ | ----------------------------------------------------- |
+| **AI SDK Core Changes**                          |                                                       |
+| Flatten streamText file properties               | `v5/flatten-streamtext-file-properties`               |
+| Import LanguageModelV2 from provider package     | `v5/import-LanguageModelV2-from-provider-package`     |
+| Migrate to data stream protocol v2               | `v5/migrate-to-data-stream-protocol-v2`               |
+| Move image model maxImagesPerCall                | `v5/move-image-model-maxImagesPerCall`                |
+| Move LangChain adapter                           | `v5/move-langchain-adapter`                           |
+| Move provider options                            | `v5/move-provider-options`                            |
+| Move React to AI SDK                             | `v5/move-react-to-ai-sdk`                             |
+| Move UI utils to AI                              | `v5/move-ui-utils-to-ai`                              |
+| Remove experimental wrap language model          | `v5/remove-experimental-wrap-language-model`          |
+| Remove experimental activeTools                  | `v5/remove-experimental-activetools`                  |
+| Remove experimental prepareStep                  | `v5/remove-experimental-preparestep`                  |
+| Remove experimental continueSteps                | `v5/remove-experimental-continuesteps`                |
+| Remove experimental temperature                  | `v5/remove-experimental-temperature`                  |
+| Remove experimental truncate                     | `v5/remove-experimental-truncate`                     |
+| Remove experimental OpenAI compatibility         | `v5/remove-experimental-openai-compatibility`         |
+| Remove experimental OpenAI legacy function calls | `v5/remove-experimental-openai-legacy-function-calls` |
+| Remove experimental OpenAI structured outputs    | `v5/remove-experimental-openai-structured-outputs`    |
+| Remove experimental OpenAI store                 | `v5/remove-experimental-openai-store`                 |
+| Remove experimental OpenAI user                  | `v5/remove-experimental-openai-user`                  |
+| Remove experimental OpenAI parallel tool calls   | `v5/remove-experimental-openai-parallel-tool-calls`   |
+| Remove experimental OpenAI response format       | `v5/remove-experimental-openai-response-format`       |
+| Remove experimental OpenAI logit bias            | `v5/remove-experimental-openai-logit-bias`            |
+| Remove experimental OpenAI logprobs              | `v5/remove-experimental-openai-logprobs`              |
+| Remove experimental OpenAI seed                  | `v5/remove-experimental-openai-seed`                  |
+| Remove experimental OpenAI service tier          | `v5/remove-experimental-openai-service-tier`          |
+| Remove experimental OpenAI top logprobs          | `v5/remove-experimental-openai-top-logprobs`          |
+| Remove experimental OpenAI transform             | `v5/remove-experimental-openai-transform`             |
+| Remove experimental OpenAI stream options        | `v5/remove-experimental-openai-stream-options`        |
+| Remove experimental OpenAI prediction            | `v5/remove-experimental-openai-prediction`            |
+| Remove experimental Anthropic caching            | `v5/remove-experimental-anthropic-caching`            |
+| Remove experimental Anthropic computer use       | `v5/remove-experimental-anthropic-computer-use`       |
+| Remove experimental Anthropic PDF support        | `v5/remove-experimental-anthropic-pdf-support`        |
+| Remove experimental Anthropic prompt caching     | `v5/remove-experimental-anthropic-prompt-caching`     |
+| Remove experimental Google search grounding      | `v5/remove-experimental-google-search-grounding`      |
+| Remove experimental Google code execution        | `v5/remove-experimental-google-code-execution`        |
+| Remove experimental Google cached content        | `v5/remove-experimental-google-cached-content`        |
+| Remove experimental Google custom headers        | `v5/remove-experimental-google-custom-headers`        |
+| Rename format stream part                        | `v5/rename-format-stream-part`                        |
+| Rename parse stream part                         | `v5/rename-parse-stream-part`                         |
+| Replace image type with file type                | `v5/replace-image-type-with-file-type`                |
+| Replace LlamaIndex adapter                       | `v5/replace-llamaindex-adapter`                       |
+| Replace onCompletion with onFinal                | `v5/replace-oncompletion-with-onfinal`                |
+| Replace provider metadata with provider options  | `v5/replace-provider-metadata-with-provider-options`  |
+| Replace rawResponse with response                | `v5/replace-rawresponse-with-response`                |
+| Replace redacted reasoning type                  | `v5/replace-redacted-reasoning-type`                  |
+| Replace simulate streaming                       | `v5/replace-simulate-streaming`                       |
+| Replace textDelta with text                      | `v5/replace-textdelta-with-text`                      |
+| Replace usage token properties                   | `v5/replace-usage-token-properties`                   |
+| Restructure file stream parts                    | `v5/restructure-file-stream-parts`                    |
+| Restructure source stream parts                  | `v5/restructure-source-stream-parts`                  |
+| RSC package                                      | `v5/rsc-package`                                      |
+
+## Changes Between v5 Beta Versions
+
+This section documents breaking changes between different beta versions of AI SDK 5.0. If you're upgrading from an earlier v5 beta version to a later one, check this section for any changes that might affect your code.
+
+### fullStream Type Rename: text/reasoning → text-delta/reasoning-delta
+
+The chunk types in `fullStream` have been renamed for consistency with UI streams and language model streams.
+
+```tsx filename="AI SDK 5.0 (before beta.26)"
+for await (const chunk of result.fullStream) {
+  switch (chunk.type) {
+    case 'text': {
+      process.stdout.write(chunk.text);
+      break;
+    }
+    case 'reasoning': {
+      console.log('Reasoning:', chunk.text);
+      break;
+    }
+  }
+}
+```
+
+```tsx filename="AI SDK 5.0 (beta.26 and later)"
+for await (const chunk of result.fullStream) {
+  switch (chunk.type) {
+    case 'text-delta': {
+      process.stdout.write(chunk.text);
+      break;
+    }
+    case 'reasoning-delta': {
+      console.log('Reasoning:', chunk.text);
+      break;
+    }
+  }
+}
+```
diff --git a/content/docs/08-migration-guides/29-migration-guide-4-0.mdx b/content/docs/08-migration-guides/29-migration-guide-4-0.mdx
index 15cb074b4aee..9c7ea328b6ab 100644
--- a/content/docs/08-migration-guides/29-migration-guide-4-0.mdx
+++ b/content/docs/08-migration-guides/29-migration-guide-4-0.mdx
@@ -52,12 +52,24 @@ the following command from the root of your project:
 npx @ai-sdk/codemod upgrade
 ```
 
+To run only the v4 codemods:
+
+```sh
+npx @ai-sdk/codemod v4
+```
+
 Individual codemods can be run by specifying the name of the codemod:
 
 ```sh
 npx @ai-sdk/codemod <codemod-name> <path>
 ```
 
+For example, to run a specific v4 codemod:
+
+```sh
+npx @ai-sdk/codemod v4/replace-baseurl src/
+```
+
 See also the [table of codemods](#codemod-table). In addition, the latest set of
 codemods can be found in the
 [`@ai-sdk/codemod`](https://github.com/vercel/ai/tree/main/packages/codemod/src/codemods)
@@ -1070,76 +1082,76 @@ list is provided to give visibility into which migrations have some automation.
 It can also be helpful to find the codemod names if you'd like to run a subset
 of codemods. For more, see the [Codemods](#codemods) section.
 
-| Change                                                                                              | Codemod                                            |
-| --------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
-| **Provider Changes**                                                                                |                                                    |
-| Removed baseUrl option                                                                              | `replace-baseurl`                                  |
-| **Anthropic Provider**                                                                              |                                                    |
-| Removed Anthropic facade                                                                            | `remove-anthropic-facade`                          |
-| Removed topK setting                                                                                | _N/A_                                              |
-| **Google Generative AI Provider**                                                                   |                                                    |
-| Removed Google facade                                                                               | `remove-google-facade`                             |
-| Removed topK setting                                                                                | _N/A_                                              |
-| **Google Vertex Provider**                                                                          |                                                    |
-| Removed topK setting                                                                                | _N/A_                                              |
-| **Mistral Provider**                                                                                |                                                    |
-| Removed Mistral facade                                                                              | `remove-mistral-facade`                            |
-| **OpenAI Provider**                                                                                 |                                                    |
-| Removed OpenAI facade                                                                               | `remove-openai-facade`                             |
-| **LangChain Adapter**                                                                               |                                                    |
-| Removed toAIStream                                                                                  | `replace-langchain-toaistream`                     |
-| **AI SDK Core Changes**                                                                             |                                                    |
-| streamText returns immediately                                                                      | `remove-await-streamtext`                          |
-| streamObject returns immediately                                                                    | `remove-await-streamobject`                        |
-| Remove roundtrips                                                                                   | `replace-roundtrips-with-maxsteps`                 |
-| Removed nanoid export                                                                               | `replace-nanoid`                                   |
-| Increased default size of generated IDs                                                             | _N/A_                                              |
-| Removed ExperimentalMessage types                                                                   | `remove-experimental-message-types`                |
-| Removed ExperimentalTool type                                                                       | `remove-experimental-tool`                         |
-| Removed experimental AI function exports                                                            | `remove-experimental-ai-fn-exports`                |
-| Removed AI-stream related methods from streamText                                                   | `remove-ai-stream-methods-from-stream-text-result` |
-| Renamed "formatStreamPart" to "formatDataStreamPart"                                                | `rename-format-stream-part`                        |
-| Renamed "parseStreamPart" to "parseDataStreamPart"                                                  | `rename-parse-stream-part`                         |
-| Renamed TokenUsage, CompletionTokenUsage and EmbeddingTokenUsage types                              | `replace-token-usage-types`                        |
-| Removed deprecated telemetry data                                                                   | _N/A_                                              |
-| **Provider Registry**                                                                               |                                                    |
-| &rarr; Removed experimental_Provider, experimental_ProviderRegistry, and experimental_ModelRegistry | `remove-deprecated-provider-registry-exports`      |
-| &rarr; Removed experimental_createModelRegistry function                                            | _N/A_                                              |
-| Removed rawResponse from results                                                                    | _N/A_                                              |
-| Removed init option from pipeDataStreamToResponse and toDataStreamResponse                          | _N/A_                                              |
-| Removed responseMessages from generateText and streamText                                           | _N/A_                                              |
-| Removed experimental_continuationSteps option                                                       | `replace-continuation-steps`                       |
-| Removed LanguageModelResponseMetadataWithHeaders type                                               | `remove-metadata-with-headers`                     |
-| Changed streamText warnings result to Promise                                                       | _N/A_                                              |
-| Changed streamObject warnings result to Promise                                                     | _N/A_                                              |
-| Renamed simulateReadableStream values to chunks                                                     | _N/A_                                              |
-| **AI SDK RSC Changes**                                                                              |                                                    |
-| Removed render function                                                                             | _N/A_                                              |
-| **AI SDK UI Changes**                                                                               |                                                    |
-| Removed Svelte, Vue, and SolidJS exports                                                            | `rewrite-framework-imports`                        |
-| Removed experimental_StreamData                                                                     | `remove-experimental-streamdata`                   |
-| **useChat hook**                                                                                    |                                                    |
-| Removed streamMode setting                                                                          | _N/A_                                              |
-| Replaced roundtrip setting with maxSteps                                                            | `replace-roundtrips-with-maxsteps`                 |
-| Removed options setting                                                                             | _N/A_                                              |
-| Removed experimental_addToolResult method                                                           | _N/A_                                              |
-| Changed default value of keepLastMessageOnError to true and deprecated the option                   | _N/A_                                              |
-| **useCompletion hook**                                                                              |                                                    |
-| Removed streamMode setting                                                                          | _N/A_                                              |
-| **useAssistant hook**                                                                               |                                                    |
-| Removed experimental_useAssistant export                                                            | `remove-experimental-useassistant`                 |
-| Removed threadId and messageId from AssistantResponse                                               | _N/A_                                              |
-| Removed experimental_AssistantResponse export                                                       | _N/A_                                              |
-| **experimental_useObject hook**                                                                     |                                                    |
-| Removed setInput helper                                                                             | _N/A_                                              |
-| **AI SDK Errors**                                                                                   |                                                    |
-| Removed isXXXError static methods                                                                   | `remove-isxxxerror`                                |
-| Removed toJSON method                                                                               | _N/A_                                              |
-| **AI SDK 2.x Legacy Changes**                                                                       |                                                    |
-| Removed 2.x legacy providers                                                                        | _N/A_                                              |
-| Removed 2.x legacy function and tool calling                                                        | _N/A_                                              |
-| Removed 2.x prompt helpers                                                                          | _N/A_                                              |
-| Removed 2.x AIStream                                                                                | _N/A_                                              |
-| Removed 2.x StreamingTextResponse                                                                   | _N/A_                                              |
-| Removed 2.x streamToResponse                                                                        | _N/A_                                              |
-| Removed 2.x RSC Tokens streaming                                                                    | _N/A_                                              |
+| Change                                                                                              | Codemod                                               |
+| --------------------------------------------------------------------------------------------------- | ----------------------------------------------------- |
+| **Provider Changes**                                                                                |                                                       |
+| Removed baseUrl option                                                                              | `v4/replace-baseurl`                                  |
+| **Anthropic Provider**                                                                              |                                                       |
+| Removed Anthropic facade                                                                            | `v4/remove-anthropic-facade`                          |
+| Removed topK setting                                                                                | _N/A_                                                 |
+| **Google Generative AI Provider**                                                                   |                                                       |
+| Removed Google facade                                                                               | `v4/remove-google-facade`                             |
+| Removed topK setting                                                                                | _N/A_                                                 |
+| **Google Vertex Provider**                                                                          |                                                       |
+| Removed topK setting                                                                                | _N/A_                                                 |
+| **Mistral Provider**                                                                                |                                                       |
+| Removed Mistral facade                                                                              | `v4/remove-mistral-facade`                            |
+| **OpenAI Provider**                                                                                 |                                                       |
+| Removed OpenAI facade                                                                               | `v4/remove-openai-facade`                             |
+| **LangChain Adapter**                                                                               |                                                       |
+| Removed toAIStream                                                                                  | `v4/replace-langchain-toaistream`                     |
+| **AI SDK Core Changes**                                                                             |                                                       |
+| streamText returns immediately                                                                      | `v4/remove-await-streamtext`                          |
+| streamObject returns immediately                                                                    | `v4/remove-await-streamobject`                        |
+| Remove roundtrips                                                                                   | `v4/replace-roundtrips-with-maxsteps`                 |
+| Removed nanoid export                                                                               | `v4/replace-nanoid`                                   |
+| Increased default size of generated IDs                                                             | _N/A_                                                 |
+| Removed ExperimentalMessage types                                                                   | `v4/remove-experimental-message-types`                |
+| Removed ExperimentalTool type                                                                       | `v4/remove-experimental-tool`                         |
+| Removed experimental AI function exports                                                            | `v4/remove-experimental-ai-fn-exports`                |
+| Removed AI-stream related methods from streamText                                                   | `v4/remove-ai-stream-methods-from-stream-text-result` |
+| Renamed "formatStreamPart" to "formatDataStreamPart"                                                | `v4/rename-format-stream-part`                        |
+| Renamed "parseStreamPart" to "parseDataStreamPart"                                                  | `v4/rename-parse-stream-part`                         |
+| Renamed TokenUsage, CompletionTokenUsage and EmbeddingTokenUsage types                              | `v4/replace-token-usage-types`                        |
+| Removed deprecated telemetry data                                                                   | _N/A_                                                 |
+| **Provider Registry**                                                                               |                                                       |
+| &rarr; Removed experimental_Provider, experimental_ProviderRegistry, and experimental_ModelRegistry | `v4/remove-deprecated-provider-registry-exports`      |
+| &rarr; Removed experimental_createModelRegistry function                                            | _N/A_                                                 |
+| Removed rawResponse from results                                                                    | _N/A_                                                 |
+| Removed init option from pipeDataStreamToResponse and toDataStreamResponse                          | _N/A_                                                 |
+| Removed responseMessages from generateText and streamText                                           | _N/A_                                                 |
+| Removed experimental_continuationSteps option                                                       | `v4/replace-continuation-steps`                       |
+| Removed LanguageModelResponseMetadataWithHeaders type                                               | `v4/remove-metadata-with-headers`                     |
+| Changed streamText warnings result to Promise                                                       | _N/A_                                                 |
+| Changed streamObject warnings result to Promise                                                     | _N/A_                                                 |
+| Renamed simulateReadableStream values to chunks                                                     | _N/A_                                                 |
+| **AI SDK RSC Changes**                                                                              |                                                       |
+| Removed render function                                                                             | _N/A_                                                 |
+| **AI SDK UI Changes**                                                                               |                                                       |
+| Removed Svelte, Vue, and SolidJS exports                                                            | `v4/rewrite-framework-imports`                        |
+| Removed experimental_StreamData                                                                     | `v4/remove-experimental-streamdata`                   |
+| **useChat hook**                                                                                    |                                                       |
+| Removed streamMode setting                                                                          | _N/A_                                                 |
+| Replaced roundtrip setting with maxSteps                                                            | `v4/replace-roundtrips-with-maxsteps`                 |
+| Removed options setting                                                                             | _N/A_                                                 |
+| Removed experimental_addToolResult method                                                           | _N/A_                                                 |
+| Changed default value of keepLastMessageOnError to true and deprecated the option                   | _N/A_                                                 |
+| **useCompletion hook**                                                                              |                                                       |
+| Removed streamMode setting                                                                          | _N/A_                                                 |
+| **useAssistant hook**                                                                               |                                                       |
+| Removed experimental_useAssistant export                                                            | `v4/remove-experimental-useassistant`                 |
+| Removed threadId and messageId from AssistantResponse                                               | _N/A_                                                 |
+| Removed experimental_AssistantResponse export                                                       | _N/A_                                                 |
+| **experimental_useObject hook**                                                                     |                                                       |
+| Removed setInput helper                                                                             | _N/A_                                                 |
+| **AI SDK Errors**                                                                                   |                                                       |
+| Removed isXXXError static methods                                                                   | `v4/remove-isxxxerror`                                |
+| Removed toJSON method                                                                               | _N/A_                                                 |
+| **AI SDK 2.x Legacy Changes**                                                                       |                                                       |
+| Removed 2.x legacy providers                                                                        | _N/A_                                                 |
+| Removed 2.x legacy function and tool calling                                                        | _N/A_                                                 |
+| Removed 2.x prompt helpers                                                                          | _N/A_                                                 |
+| Removed 2.x AIStream                                                                                | _N/A_                                                 |
+| Removed 2.x StreamingTextResponse                                                                   | _N/A_                                                 |
+| Removed 2.x streamToResponse                                                                        | _N/A_                                                 |
+| Removed 2.x RSC Tokens streaming                                                                    | _N/A_                                                 |
diff --git a/content/docs/08-migration-guides/index.mdx b/content/docs/08-migration-guides/index.mdx
index 569204d72faf..b649bd88b37a 100644
--- a/content/docs/08-migration-guides/index.mdx
+++ b/content/docs/08-migration-guides/index.mdx
@@ -6,6 +6,7 @@ collapsed: true
 
 # Migration Guides
 
+- [ Migrate AI SDK 4.x to 5.0 Beta ](/docs/migration-guides/migration-guide-5-0)
 - [ Migrate AI SDK 4.1 to 4.2 ](/docs/migration-guides/migration-guide-4-2)
 - [ Migrate AI SDK 4.0 to 4.1 ](/docs/migration-guides/migration-guide-4-1)
 - [ Migrate AI SDK 3.4 to 4.0 ](/docs/migration-guides/migration-guide-4-0)
diff --git a/content/docs/09-troubleshooting/05-tool-invocation-missing-result.mdx b/content/docs/09-troubleshooting/05-tool-invocation-missing-result.mdx
index 328e3326af66..825a1b6e680a 100644
--- a/content/docs/09-troubleshooting/05-tool-invocation-missing-result.mdx
+++ b/content/docs/09-troubleshooting/05-tool-invocation-missing-result.mdx
@@ -38,32 +38,49 @@ const tools = {
 };
 ```
 
-2. Client-side execution with `useChat` (omitting the `execute` function), but you must provide results in one of these ways:
+2. Client-side execution with `useChat` (omitting the `execute` function), you must provide results using `addToolResult`:
 
 ```tsx
-const { messages } = useChat({
-  // Option 1: Handle using onToolCall
+import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+
+const { messages, sendMessage, addToolResult } = useChat({
+  // Automatically submit when all tool results are available
+  sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+  // Handle tool calls in onToolCall
   onToolCall: async ({ toolCall }) => {
     if (toolCall.toolName === 'getLocation') {
       const result = await getLocationData();
-      return result; // This becomes the tool result
+
+      // Important: Don't await inside onToolCall to avoid deadlocks
+      addToolResult({
+        tool: 'getLocation',
+        toolCallId: toolCall.toolCallId,
+        output: result,
+      });
     }
   },
 });
-
-}
 ```
 
 ```tsx
-// Option 2: Use addToolResult (e.g. with interactive UI elements)
-const { messages, addToolResult } = useChat();
+// For interactive UI elements:
+const { messages, sendMessage, addToolResult } = useChat({
+  transport: new DefaultChatTransport({ api: '/api/chat' }),
+  sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+});
 
 // Inside your JSX, when rendering tool calls:
 <button
   onClick={() =>
     addToolResult({
+      tool: 'myTool',
       toolCallId, // must provide tool call ID
-      result: {
+      output: {
         /* your tool result */
       },
     })
diff --git a/content/docs/09-troubleshooting/10-use-chat-tools-no-response.mdx b/content/docs/09-troubleshooting/10-use-chat-tools-no-response.mdx
index 1ee59ef0bc9b..2eadf14a2b33 100644
--- a/content/docs/09-troubleshooting/10-use-chat-tools-no-response.mdx
+++ b/content/docs/09-troubleshooting/10-use-chat-tools-no-response.mdx
@@ -1,27 +1,18 @@
 ---
-title: useChat No Response with maxSteps
+title: useChat No Response
 description: Troubleshooting errors related to the Use Chat Failed to Parse Stream error.
 ---
 
-# `useChat` No Response with maxSteps
+# `useChat` No Response
 
 ## Issue
 
-I am using [`useChat`](/docs/reference/ai-sdk-ui/use-chat) with [`maxSteps`](/docs/reference/ai-sdk-ui/use-chat#max-steps).
+I am using [`useChat`](/docs/reference/ai-sdk-ui/use-chat).
 When I log the incoming messages on the server, I can see the tool call and the tool result, but the model does not respond with anything.
 
-## Background
-
-The `useChat` hook uses a message structure (`Message`) that pre-dates the AI SDK Core message structure (`ModelMessage`).
-
 ## Solution
 
-<Note title="warning">
-  This solution is outdated. The AI SDK now automatically converts the incoming
-  messages to the `ModelMessage` format.
-</Note>
-
-To resolve this issue, convert the incoming messages to the `ModelMessage` format using the [`convertToModelMessages`](/docs/reference/ai-sdk-ui/convert-to-core-messages) function.
+To resolve this issue, convert the incoming messages to the `ModelMessage` format using the [`convertToModelMessages`](/docs/reference/ai-sdk-ui/convert-to-model-messages) function.
 
 ```tsx highlight="9"
 import { openai } from '@ai-sdk/openai';
diff --git a/content/docs/09-troubleshooting/11-use-chat-custom-request-options.mdx b/content/docs/09-troubleshooting/11-use-chat-custom-request-options.mdx
new file mode 100644
index 000000000000..c53fbffb86d0
--- /dev/null
+++ b/content/docs/09-troubleshooting/11-use-chat-custom-request-options.mdx
@@ -0,0 +1,149 @@
+---
+title: Custom headers, body, and credentials not working with useChat
+description: Troubleshooting errors related to custom request configuration in useChat hook
+---
+
+# Custom headers, body, and credentials not working with useChat
+
+## Issue
+
+When using the `useChat` hook, custom request options like headers, body fields, and credentials configured directly on the hook are not being sent with the request:
+
+```tsx
+// These options are not sent with the request
+const { messages, sendMessage } = useChat({
+  headers: {
+    Authorization: 'Bearer token123',
+  },
+  body: {
+    user_id: '123',
+  },
+  credentials: 'include',
+});
+```
+
+## Background
+
+The `useChat` hook has changed its API for configuring request options. Direct options like `headers`, `body`, and `credentials` on the hook itself are no longer supported. Instead, you need to use the `transport` configuration with `DefaultChatTransport` or pass options at the request level.
+
+## Solution
+
+There are three ways to properly configure request options with `useChat`:
+
+### Option 1: Request-Level Configuration (Recommended for Dynamic Values)
+
+For dynamic values that change over time, the recommended approach is to pass options when calling `sendMessage`:
+
+```tsx
+const { messages, sendMessage } = useChat();
+
+// Send options with each message
+sendMessage(
+  { text: input },
+  {
+    headers: {
+      Authorization: `Bearer ${getAuthToken()}`, // Dynamic auth token
+      'X-Request-ID': generateRequestId(),
+    },
+    body: {
+      temperature: 0.7,
+      max_tokens: 100,
+      user_id: getCurrentUserId(), // Dynamic user ID
+      sessionId: getCurrentSessionId(), // Dynamic session
+    },
+  },
+);
+```
+
+This approach ensures that the most up-to-date values are always sent with each request.
+
+### Option 2: Hook-Level Configuration with Static Values
+
+For static values that don't change during the component lifecycle, use the `DefaultChatTransport`:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    headers: {
+      'X-API-Version': 'v1', // Static API version
+      'X-App-ID': 'my-app', // Static app identifier
+    },
+    body: {
+      model: 'gpt-4o', // Default model
+      stream: true, // Static configuration
+    },
+    credentials: 'include', // Static credentials policy
+  }),
+});
+```
+
+### Option 3: Hook-Level Configuration with Resolvable Functions
+
+If you need dynamic values at the hook level, you can use functions that return configuration values. However, request-level configuration is generally preferred for better reliability:
+
+```tsx
+import { useChat } from '@ai-sdk/react';
+import { DefaultChatTransport } from 'ai';
+
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    headers: () => ({
+      Authorization: `Bearer ${getAuthToken()}`,
+      'X-User-ID': getCurrentUserId(),
+    }),
+    body: () => ({
+      sessionId: getCurrentSessionId(),
+      preferences: getUserPreferences(),
+    }),
+    credentials: () => (isAuthenticated() ? 'include' : 'same-origin'),
+  }),
+});
+```
+
+<Note>
+  For component state that changes over time, request-level configuration
+  (Option 1) is recommended. If using hook-level functions, consider using
+  `useRef` to store current values and reference `ref.current` in your
+  configuration function.
+</Note>
+
+### Combining Hook and Request Level Options
+
+Request-level options take precedence over hook-level options:
+
+```tsx
+// Hook-level default configuration
+const { messages, sendMessage } = useChat({
+  transport: new DefaultChatTransport({
+    api: '/api/chat',
+    headers: {
+      'X-API-Version': 'v1',
+    },
+    body: {
+      model: 'gpt-4o',
+    },
+  }),
+});
+
+// Override or add options per request
+sendMessage(
+  { text: input },
+  {
+    headers: {
+      'X-API-Version': 'v2', // This overrides the hook-level header
+      'X-Request-ID': '123', // This is added
+    },
+    body: {
+      model: 'gpt-4o-mini', // This overrides the hook-level body field
+      temperature: 0.5, // This is added
+    },
+  },
+);
+```
+
+For more details on request configuration, see the [Request Configuration](/docs/ai-sdk-ui/chatbot#request-configuration) documentation.
diff --git a/content/docs/09-troubleshooting/13-repeated-assistant-messages.mdx b/content/docs/09-troubleshooting/13-repeated-assistant-messages.mdx
new file mode 100644
index 000000000000..5348ba4a1b48
--- /dev/null
+++ b/content/docs/09-troubleshooting/13-repeated-assistant-messages.mdx
@@ -0,0 +1,73 @@
+---
+title: Repeated assistant messages in useChat
+description: Troubleshooting duplicate assistant messages when using useChat with streamText
+---
+
+# Repeated assistant messages in useChat
+
+## Issue
+
+When using `useChat` with `streamText` on the server, the assistant's messages appear duplicated in the UI - showing both the previous message and the new message, or showing the same message multiple times. This can occur when using tool calls or complex message flows.
+
+```tsx
+// Server-side code that may experience assistant message duplication on the client
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o-mini'),
+    messages: convertToModelMessages(messages),
+    tools: {
+      weather: {
+        description: 'Get the weather for a location',
+        parameters: z.object({
+          location: z.string(),
+        }),
+        execute: async ({ location }) => {
+          return { temperature: 72, condition: 'sunny' };
+        },
+      },
+    },
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+```
+
+## Background
+
+The duplication occurs because `toUIMessageStreamResponse` generates new message IDs for each new message.
+
+## Solution
+
+Pass the original messages array to `toUIMessageStreamResponse` using the `originalMessages` option. By passing `originalMessages`, the method can reuse existing message IDs instead of generating new ones, ensuring the client properly updates existing messages rather than creating duplicates.
+
+```tsx
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o-mini'),
+    messages: convertToModelMessages(messages),
+    tools: {
+      weather: {
+        description: 'Get the weather for a location',
+        parameters: z.object({
+          location: z.string(),
+        }),
+        execute: async ({ location }) => {
+          return { temperature: 72, condition: 'sunny' };
+        },
+      },
+    },
+  });
+
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages, // Pass the original messages here
+    generateMessageId: generateId,
+    onFinish: ({ messages }) => {
+      saveChat({ id, messages });
+    },
+  });
+}
+```
diff --git a/content/docs/09-troubleshooting/14-stream-abort-handling.mdx b/content/docs/09-troubleshooting/14-stream-abort-handling.mdx
new file mode 100644
index 000000000000..4fc9caa6c5e5
--- /dev/null
+++ b/content/docs/09-troubleshooting/14-stream-abort-handling.mdx
@@ -0,0 +1,73 @@
+---
+title: onFinish not called when stream is aborted
+description: Troubleshooting onFinish callback not executing when streams are aborted with toUIMessageStreamResponse
+---
+
+# onFinish not called when stream is aborted
+
+## Issue
+
+When using `toUIMessageStreamResponse` with an `onFinish` callback, the callback may not execute when the stream is aborted. This happens because the abort handler immediately terminates the response, preventing the `onFinish` callback from being triggered.
+
+```tsx
+// Server-side code where onFinish isn't called on abort
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    abortSignal: req.signal,
+  });
+
+  return result.toUIMessageStreamResponse({
+    onFinish: async ({ isAborted }) => {
+      // This isn't called when the stream is aborted!
+      if (isAborted) {
+        console.log('Stream was aborted');
+        // Handle abort-specific cleanup
+      } else {
+        console.log('Stream completed normally');
+        // Handle normal completion
+      }
+    },
+  });
+}
+```
+
+## Background
+
+When a stream is aborted, the response is immediately terminated. Without proper handling, the `onFinish` callback has no chance to execute, preventing important cleanup operations like saving partial results or logging abort events.
+
+## Solution
+
+Add `consumeStream` to the `toUIMessageStreamResponse` configuration. This ensures that abort events are properly captured and forwarded to the `onFinish` callback, allowing it to execute even when the stream is aborted.
+
+```tsx
+// other imports...
+import { consumeStream } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+    abortSignal: req.signal,
+  });
+
+  return result.toUIMessageStreamResponse({
+    onFinish: async ({ isAborted }) => {
+      // Now this WILL be called even when aborted!
+      if (isAborted) {
+        console.log('Stream was aborted');
+        // Handle abort-specific cleanup
+      } else {
+        console.log('Stream completed normally');
+        // Handle normal completion
+      }
+    },
+    consumeSseStream: consumeStream, // This enables onFinish to be called on abort
+  });
+}
+```
diff --git a/content/docs/10-cli/00-authentication.mdx b/content/docs/10-cli/00-authentication.mdx
new file mode 100644
index 000000000000..30d975a320e6
--- /dev/null
+++ b/content/docs/10-cli/00-authentication.mdx
@@ -0,0 +1,87 @@
+---
+title: Authentication
+description: Learn how to set up authentication for the AI SDK CLI.
+---
+
+# Authentication
+
+The AI SDK CLI requires authentication to access AI models through the AI Gateway. This guide will walk you through setting up your API key and configuring environment variables.
+
+## Prerequisites
+
+To use the AI SDK CLI, you'll need:
+
+- Node.js 18+ and pnpm installed on your local development machine.
+- An AI Gateway API key.
+
+If you haven't obtained your AI Gateway API key, you can do so by visiting the [Vercel Dashboard](https://vercel.com/dashboard) and navigating to the **AI** tab.
+
+## Configure API Key
+
+Export your AI Gateway API Key as an environment variable. This key is used to authenticate your application with the AI Gateway service.
+
+For temporary use in your current session:
+
+<Snippet text='export AI_GATEWAY_API_KEY="your-key-here"' />
+
+Replace `your-key-here` with your actual AI Gateway API key.
+
+<Note className="mb-4">
+  The AI SDK CLI will default to using the `AI_GATEWAY_API_KEY` environment
+  variable.
+</Note>
+
+## Environment Variables
+
+You can configure additional environment variables to customize the CLI behavior:
+
+### AI_DEFAULT_MODEL
+
+Set a default model to avoid specifying it with each command:
+
+<Snippet text='export AI_DEFAULT_MODEL="anthropic/claude-3-5-sonnet"' />
+
+### AI_SYSTEM
+
+Set a default system message:
+
+<Snippet text='export AI_SYSTEM="You are a helpful assistant."' />
+
+### AI_VERBOSE
+
+Enable detailed output by default:
+
+<Snippet text='export AI_VERBOSE="true"' />
+
+## Shell Configuration
+
+For persistent configuration across terminal sessions, you can add environment variables to your shell profile:
+
+<div className="my-4">
+  <Tabs items={['Bash', 'Zsh']}>
+    <Tab>
+      <Snippet
+        text={
+          'echo \'export AI_GATEWAY_API_KEY="your-key"\' >> ~/.bashrc && source ~/.bashrc'
+        }
+        dark
+      />
+    </Tab>
+    <Tab>
+      <Snippet
+        text={
+          'echo \'export AI_GATEWAY_API_KEY="your-key"\' >> ~/.zshrc && source ~/.zshrc'
+        }
+        dark
+      />
+    </Tab>
+  </Tabs>
+</div>
+
+## Verify Setup
+
+Test your authentication setup by running a simple command:
+
+<Snippet text='npx ai "Hello, world!"' />
+
+If authentication is successful, you should see a response from the AI model. If you encounter authentication errors, double-check that your API key is correctly set and valid.
diff --git a/content/docs/10-cli/index.mdx b/content/docs/10-cli/index.mdx
new file mode 100644
index 000000000000..759f804cf319
--- /dev/null
+++ b/content/docs/10-cli/index.mdx
@@ -0,0 +1,24 @@
+---
+title: AI SDK CLI
+description: Learn about the AI SDK CLI.
+---
+
+# AI SDK CLI
+
+The AI SDK CLI is a command-line tool for interacting with AI models directly from your terminal. Generate text, attach files, and stream responses using a simple command-line interface.
+
+<Snippet text="npx ai@beta 'Hello, world!'" />
+
+## Getting Started
+
+To start using the AI SDK CLI, you'll need to set up authentication and learn the basic usage patterns:
+
+<IndexCards
+  cards={[
+    {
+      title: 'Authentication',
+      description: 'Learn how to set up authentication for the AI SDK CLI.',
+      href: '/docs/cli/authentication',
+    },
+  ]}
+/>
diff --git a/content/providers/01-ai-sdk-providers/00-ai-gateway.mdx b/content/providers/01-ai-sdk-providers/00-ai-gateway.mdx
new file mode 100644
index 000000000000..33bceac6b39c
--- /dev/null
+++ b/content/providers/01-ai-sdk-providers/00-ai-gateway.mdx
@@ -0,0 +1,314 @@
+---
+title: AI Gateway
+description: Learn how to use the AI Gateway provider with the AI SDK.
+---
+
+# AI Gateway Provider
+
+The [AI Gateway](https://vercel.com/docs/ai-gateway) provider connects you to models from multiple AI providers through a single interface. Instead of integrating with each provider separately, you can access OpenAI, Anthropic, Google, Meta, xAI, and other providers and their models.
+
+## Features
+
+- Access models from multiple providers without having to install additional provider modules/dependencies
+- Use the same code structure across different AI providers
+- Switch between models and providers easily
+- Automatic authentication when deployed on Vercel
+- View pricing information across providers
+- Observability for AI model usage through the Vercel dashboard
+
+## Setup
+
+The AI Gateway provider is available in the `@ai-sdk/gateway` module. You can install it with
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add @ai-sdk/gateway" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install @ai-sdk/gateway" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add @ai-sdk/gateway" dark />
+  </Tab>
+</Tabs>
+
+## Basic Usage
+
+For most use cases, you can use the AI Gateway directly with a model string:
+
+```ts
+// use plain model string with global provider
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: 'openai/gpt-4o',
+  prompt: 'Hello world',
+});
+```
+
+```ts
+// use provider instance
+import { generateText } from 'ai';
+import { gateway } from '@ai-sdk/gateway';
+
+const { text } = await generateText({
+  model: gateway('openai/gpt-4o'),
+  prompt: 'Hello world',
+});
+```
+
+The AI SDK automatically uses the AI Gateway when you pass a model string in the `creator/model-name` format.
+
+## Provider Instance
+
+You can also import the default provider instance `gateway` from `@ai-sdk/gateway`:
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+```
+
+You may want to create a custom provider instance when you need to:
+
+- Set custom configuration options (API key, base URL, headers)
+- Use the provider in a [provider registry](/docs/ai-sdk-core/provider-registry)
+- Wrap the provider with [middleware](/docs/ai-sdk-core/middleware)
+- Use different settings for different parts of your application
+
+To create a custom provider instance, import `createGateway` from `@ai-sdk/gateway`:
+
+```ts
+import { createGateway } from '@ai-sdk/gateway';
+
+const gateway = createGateway({
+  apiKey: process.env.AI_GATEWAY_API_KEY ?? '',
+});
+```
+
+You can use the following optional settings to customize the AI Gateway provider instance:
+
+- **baseURL** _string_
+
+  Use a different URL prefix for API calls. The default prefix is `https://ai-gateway.vercel.sh/v1/ai`.
+
+- **apiKey** _string_
+
+  API key that is being sent using the `Authorization` header. It defaults to
+  the `AI_GATEWAY_API_KEY` environment variable.
+
+- **headers** _Record&lt;string,string&gt;_
+
+  Custom headers to include in the requests.
+
+- **fetch** _(input: RequestInfo, init?: RequestInit) => Promise&lt;Response&gt;_
+
+  Custom [fetch](https://developer.mozilla.org/en-US/docs/Web/API/fetch) implementation.
+  Defaults to the global `fetch` function.
+  You can use it as a middleware to intercept requests,
+  or to provide a custom fetch implementation for e.g. testing.
+
+- **metadataCacheRefreshMillis** _number_
+
+  How frequently to refresh the metadata cache in milliseconds. Defaults to 5 minutes (300,000ms).
+
+## Authentication
+
+The Gateway provider supports two authentication methods:
+
+### API Key Authentication
+
+Set your API key via environment variable:
+
+```bash
+AI_GATEWAY_API_KEY=your_api_key_here
+```
+
+Or pass it directly to the provider:
+
+```ts
+import { createGateway } from '@ai-sdk/gateway';
+
+const gateway = createGateway({
+  apiKey: 'your_api_key_here',
+});
+```
+
+### OIDC Authentication (Vercel Deployments)
+
+When deployed to Vercel, the AI Gateway provider supports authenticating using [OIDC (OpenID Connect)
+tokens](https://vercel.com/docs/oidc) without API Keys.
+
+#### How OIDC Authentication Works
+
+1. **In Production/Preview Deployments**:
+
+   - OIDC authentication is automatically handled
+   - No manual configuration needed
+   - Tokens are automatically obtained and refreshed
+
+2. **In Local Development**:
+   - First, install and authenticate with the [Vercel CLI](https://vercel.com/docs/cli)
+   - Run `vercel env pull` to download your project's OIDC token locally
+   - For automatic token management:
+     - Use `vercel dev` to start your development server - this will handle token refreshing automatically
+   - For manual token management:
+     - If not using `vercel dev`, note that OIDC tokens expire after 12 hours
+     - You'll need to run `vercel env pull` again to refresh the token before it expires
+
+<Note>
+  If an API Key is present (either passed directly or via environment), it will
+  always be used, even if invalid.
+</Note>
+
+Read more about using OIDC tokens in the [Vercel AI Gateway docs](https://vercel.com/docs/ai-gateway#using-the-ai-gateway-with-a-vercel-oidc-token).
+
+## Language Models
+
+You can create language models using a provider instance. The first argument is the model ID in the format `creator/model-name`:
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: gateway('openai/gpt-4o'),
+  prompt: 'Explain quantum computing in simple terms',
+});
+```
+
+AI Gateway language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions (see [AI SDK Core](/docs/ai-sdk-core)).
+
+## Available Models
+
+The AI Gateway supports models from OpenAI, Anthropic, Google, Meta, xAI, Mistral, DeepSeek, Amazon Bedrock, Cohere, Perplexity, Alibaba, and other providers.
+
+For the complete list of available models, see the [AI Gateway documentation](https://vercel.com/docs/ai-gateway).
+
+## Dynamic Model Discovery
+
+You can discover available models programmatically:
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+import { generateText } from 'ai';
+
+const availableModels = await gateway.getAvailableModels();
+
+// List all available models
+availableModels.models.forEach(model => {
+  console.log(`${model.id}: ${model.name}`);
+  if (model.description) {
+    console.log(`  Description: ${model.description}`);
+  }
+  if (model.pricing) {
+    console.log(`  Input: $${model.pricing.input}/token`);
+    console.log(`  Output: $${model.pricing.output}/token`);
+  }
+});
+
+// Use any discovered model with plain string
+const { text } = await generateText({
+  model: availableModels.models[0].id, // e.g., 'openai/gpt-4o'
+  prompt: 'Hello world',
+});
+```
+
+## Examples
+
+### Basic Text Generation
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: gateway('anthropic/claude-3.5-sonnet'),
+  prompt: 'Write a haiku about programming',
+});
+
+console.log(text);
+```
+
+### Streaming
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+import { streamText } from 'ai';
+
+const { textStream } = await streamText({
+  model: gateway('openai/gpt-4o'),
+  prompt: 'Explain the benefits of serverless architecture',
+});
+
+for await (const textPart of textStream) {
+  process.stdout.write(textPart);
+}
+```
+
+### Tool Usage
+
+```ts
+import { gateway } from '@ai-sdk/gateway';
+import { generateText, tool } from 'ai';
+import { z } from 'zod';
+
+const { text } = await generateText({
+  model: gateway('meta/llama-3.3-70b'),
+  prompt: 'What is the weather like in San Francisco?',
+  tools: {
+    getWeather: tool({
+      description: 'Get the current weather for a location',
+      parameters: z.object({
+        location: z.string().describe('The location to get weather for'),
+      }),
+      execute: async ({ location }) => {
+        // Your weather API call here
+        return `It's sunny in ${location}`;
+      },
+    }),
+  },
+});
+```
+
+## Provider Options
+
+When using provider-specific options, use the actual provider name (e.g. `anthropic` not `gateway`) as the key:
+
+```ts
+// with model string
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: 'anthropic/claude-3-5-sonnet',
+  prompt: 'Explain quantum computing',
+  providerOptions: {
+    anthropic: {
+      thinking: { type: 'enabled', budgetTokens: 12000 },
+    },
+  },
+});
+```
+
+```ts
+// with provider instance
+import { generateText } from 'ai';
+import { gateway } from '@ai-sdk/gateway';
+
+const { text } = await generateText({
+  model: gateway('anthropic/claude-3-5-sonnet'),
+  prompt: 'Explain quantum computing',
+  providerOptions: {
+    anthropic: {
+      thinking: { type: 'enabled', budgetTokens: 12000 },
+    },
+  },
+});
+```
+
+The AI Gateway provider also accepts its own set of options. Refer to the [AI Gateway provider options documentation](https://vercel.com/docs/ai-gateway/provider-options).
+
+## Model Capabilities
+
+Model capabilities depend on the specific provider and model you're using. For detailed capability information, see:
+
+- [AI Gateway provider options](https://vercel.com/docs/ai-gateway/provider-options#available-providers) for an overview of available providers
+- Individual [AI SDK provider pages](/providers/ai-sdk-providers) for specific model capabilities and features
diff --git a/content/providers/01-ai-sdk-providers/01-xai.mdx b/content/providers/01-ai-sdk-providers/01-xai.mdx
index 238009cd9d91..0628ce370ad4 100644
--- a/content/providers/01-ai-sdk-providers/01-xai.mdx
+++ b/content/providers/01-ai-sdk-providers/01-xai.mdx
@@ -69,7 +69,7 @@ You can use the following optional settings to customize the xAI provider instan
 ## Language Models
 
 You can create [xAI models](https://console.x.ai) using a provider instance. The
-first argument is the model id, e.g. `grok-beta`.
+first argument is the model id, e.g. `grok-3`.
 
 ```ts
 const model = xai('grok-3');
@@ -92,35 +92,13 @@ const { text } = await generateText({
 xAI language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions
 (see [AI SDK Core](/docs/ai-sdk-core)).
 
-### Chat Models
+### Provider Options
 
-xAI chat models also support some model specific provider options that are not part of
-the [standard call settings](/docs/ai-sdk-core/settings). You can pass them in `providerOptions` argument:
+xAI chat models support additional provider options that are not part of
+the [standard call settings](/docs/ai-sdk-core/settings). You can pass them in the `providerOptions` argument:
 
 ```ts
-const model = xai('grok-3');
-
-await generateText({
-  model,
-  providerOptions: {
-    xai: {
-      user: 'test-user', // optional unique user identifier
-    },
-  },
-});
-```
-
-The following optional provider options are available for xAI chat models:
-
-- **user** _string_
-
-  A unique identifier representing your end-user, which can help xAI to
-  monitor and detect abuse.
-
-xAI chat models also support some model specific provider options. You can pass them in `providerOptions` argument:
-
-```ts
-const model = xai('grok-3');
+const model = xai('grok-3-mini');
 
 await generateText({
   model,
@@ -134,11 +112,9 @@ await generateText({
 
 The following optional provider options are available for xAI chat models:
 
-- **reasoningEffort** _'low' | 'medium' | 'high'_
+- **reasoningEffort** _'low' | 'high'_
 
-  Reasoning effort for reasoning models. Defaults to `medium`. If you use
-  `providerOptions` to set the `reasoningEffort` option, this
-  model setting will be ignored.
+  Reasoning effort for reasoning models. Only supported by `grok-3-mini` and `grok-3-mini-fast` models.
 
 ## Live Search
 
@@ -198,13 +174,13 @@ The following search parameters are available:
 
   Maximum number of search results to consider. Defaults to 20, max 50.
 
-- **sources** _array_
+- **sources** _Array&lt;SearchSource&gt;_
 
-  Array of data sources to search from. Defaults to web and X if not specified.
+  Data sources to search from. Defaults to `["web", "x"]` if not specified.
 
-### Data Sources
+### Search Sources
 
-You can specify which data sources to search from using the `sources` array:
+You can specify different types of data sources for search:
 
 #### Web Search
 
@@ -233,8 +209,8 @@ const result = await generateText({
 #### Web source parameters
 
 - **country** _string_: ISO alpha-2 country code
-- **allowedWebsites** _string[]_: Max 5 allowed websites (cannot be used with `excludedWebsites`)
-- **excludedWebsites** _string[]_: Max 5 excluded websites (cannot be used with `allowedWebsites`)
+- **allowedWebsites** _string[]_: Max 5 allowed websites
+- **excludedWebsites** _string[]_: Max 5 excluded websites
 - **safeSearch** _boolean_: Enable safe search (default: true)
 
 #### X (Twitter) Search
@@ -261,7 +237,7 @@ const result = await generateText({
 
 #### X source parameters
 
-- **xHandles** _string[]_: Array of X/Twitter handles to search
+- **xHandles** _string[]_: Array of X handles to search (without @ symbol)
 
 #### News Search
 
@@ -408,16 +384,25 @@ console.log('Sources:', await result.sources);
 
 ## Model Capabilities
 
-| Model                | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
-| -------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `grok-3`             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-3-fast`        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-3-mini`        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-3-mini-fast`   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-2-1212`        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-2-vision-1212` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-beta`          | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `grok-vision-beta`   | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| Model                     | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      | Reasoning           |
+| ------------------------- | ------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `grok-4`                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-3`                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-3-latest`           | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-3-fast`             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-3-fast-latest`      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-3-mini`             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `grok-3-mini-latest`      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `grok-3-mini-fast`        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `grok-3-mini-fast-latest` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `grok-2`                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-2-latest`           | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-2-1212`             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-2-vision`           | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-2-vision-latest`    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-2-vision-1212`      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-beta`               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `grok-vision-beta`        | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 
 <Note>
   The table above lists popular models. Please see the [xAI
@@ -428,7 +413,7 @@ console.log('Sources:', await result.sources);
 
 ## Image Models
 
-You can create xAI image models using the `.imageModel()` factory method. For more on image generation with the AI SDK see [generateImage()](/docs/reference/ai-sdk-core/generate-image).
+You can create xAI image models using the `.image()` factory method. For more on image generation with the AI SDK see [generateImage()](/docs/reference/ai-sdk-core/generate-image).
 
 ```ts
 import { xai } from '@ai-sdk/xai';
diff --git a/content/providers/01-ai-sdk-providers/02-vercel.mdx b/content/providers/01-ai-sdk-providers/02-vercel.mdx
index 1b412d0678ea..1af691167063 100644
--- a/content/providers/01-ai-sdk-providers/02-vercel.mdx
+++ b/content/providers/01-ai-sdk-providers/02-vercel.mdx
@@ -5,7 +5,7 @@ description: Learn how to use Vercel's v0 models with the AI SDK.
 
 # Vercel Provider
 
-The [Vercel](https://vercel.com) provider gives you access to the [v0 API](https://vercel.com/docs/v0/api), designed for building modern web applications. The `v0-1.0-md` model supports text and image inputs and provides fast streaming responses.
+The [Vercel](https://vercel.com) provider gives you access to the [v0 API](https://vercel.com/docs/v0/api), designed for building modern web applications. The v0 models support text and image inputs and provide fast streaming responses.
 
 You can create your Vercel API key at [v0.dev](https://v0.dev/chat/settings/keys).
 
@@ -97,11 +97,19 @@ Vercel language models can also be used in the `streamText` function (see [AI SD
 
 ## Models
 
-### v0-1.0-md
+### v0-1.5-md
 
-The `v0-1.0-md` model is the default model served by the v0 API.
+The `v0-1.5-md` model is for everyday tasks and UI generation.
 
-Capabilities:
+### v0-1.5-lg
+
+The `v0-1.5-lg` model is for advanced thinking or reasoning.
+
+### v0-1.0-md (legacy)
+
+The `v0-1.0-md` model is the legacy model served by the v0 API.
+
+All v0 models have the following capabilities:
 
 - Supports text and image inputs (multimodal)
 - Supports function/tool calls
@@ -112,4 +120,6 @@ Capabilities:
 
 | Model       | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
 | ----------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `v0-1.5-md` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `v0-1.5-lg` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `v0-1.0-md` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
diff --git a/content/providers/01-ai-sdk-providers/03-openai.mdx b/content/providers/01-ai-sdk-providers/03-openai.mdx
index 085eb4ba1919..8043703d28fc 100644
--- a/content/providers/01-ai-sdk-providers/03-openai.mdx
+++ b/content/providers/01-ai-sdk-providers/03-openai.mdx
@@ -197,10 +197,38 @@ The following optional provider options are available for OpenAI chat models:
 
   When enabled, tool calls and object generation will be strict and follow the provided schema.
 
+- **maxCompletionTokens** _number_
+
+  Maximum number of completion tokens to generate. Useful for reasoning models.
+
+- **store** _boolean_
+
+  Whether to enable persistence in Responses API.
+
+- **metadata** _Record&lt;string, string&gt;_
+
+  Metadata to associate with the request.
+
+- **prediction** _Record&lt;string, any&gt;_
+
+  Parameters for prediction mode.
+
+- **serviceTier** _'auto' | 'flex'_
+
+  Service tier for the request. Set to 'flex' for 50% cheaper processing
+  at the cost of increased latency. Only available for o3 and o4-mini models.
+  Defaults to 'auto'.
+
+- **strictJsonSchema** _boolean_
+
+  Whether to use strict JSON schema validation.
+  Defaults to `false`.
+
 #### Reasoning
 
 OpenAI has introduced the `o1`,`o3`, and `o4` series of [reasoning models](https://platform.openai.com/docs/guides/reasoning).
-Currently, `o4-mini`, `o3`, `o3-mini`, `o1`, `o1-mini`, and `o1-preview` are available.
+Currently, `o4-mini`, `o3`, `o3-mini`, `o1`, `o1-mini`, and `o1-preview` are available via both the chat and responses APIs. The
+models `codex-mini-latest` and `computer-use-preview` are available only via the [responses API](#responses-models).
 
 Reasoning models currently only generate text, have several limitations, and are only supported using `generateText` and `streamText`.
 
@@ -587,11 +615,13 @@ The following provider options are available:
 - **reasoningSummary** _'auto' | 'detailed'_
   Controls whether the model returns its reasoning process. Set to `'auto'` for a condensed summary, `'detailed'` for more comprehensive reasoning. Defaults to `undefined` (no reasoning summaries). When enabled, reasoning summaries appear in the stream as events with type `'reasoning'` and in non-streaming responses within the `reasoning` field.
 
-- **strictSchemas** _boolean_
-  Whether to use strict JSON schemas in tools and when generating JSON outputs. Defaults to `true`.
+- **strictJsonSchema** _boolean_
+  Whether to use strict JSON schema validation. Defaults to `false`.
 
-- **parallelToolCalls** _boolean_
-  Whether to enable parallel function calling during tool use. Default to true.
+- **serviceTier** _'auto' | 'flex'_
+  Service tier for the request. Set to 'flex' for 50% cheaper processing
+  at the cost of increased latency. Only available for o3 and o4-mini models.
+  Defaults to 'auto'.
 
 The OpenAI responses provider also returns provider-specific metadata:
 
@@ -643,6 +673,44 @@ const result = await generateText({
 const sources = result.sources;
 ```
 
+#### File Search
+
+The OpenAI responses provider supports file search through the `openai.tools.fileSearch` tool.
+
+You can force the use of the file search tool by setting the `toolChoice` parameter to `{ type: 'tool', toolName: 'file_search' }`.
+
+```ts
+const result = await generateText({
+  model: openai.responses('gpt-4o-mini'),
+  prompt: 'What does the document say about user authentication?',
+  tools: {
+    file_search: openai.tools.fileSearch({
+      // optional configuration:
+      vectorStoreIds: ['vs_123', 'vs_456'],
+      maxNumResults: 10,
+      ranking: {
+        ranker: 'auto',
+      },
+      filters: {
+        type: 'and',
+        filters: [
+          { key: 'author', type: 'eq', value: 'John Doe' },
+          { key: 'date', type: 'gte', value: '2023-01-01' },
+        ],
+      },
+    }),
+  },
+  // Force file search tool:
+  toolChoice: { type: 'tool', toolName: 'file_search' },
+});
+```
+
+<Note>
+  The tool must be named `file_search` when using OpenAI's file search
+  functionality. This name is required by OpenAI's API specification and cannot
+  be customized.
+</Note>
+
 #### Reasoning Summaries
 
 For reasoning models like `o3-mini`, `o3`, and `o4-mini`, you can enable reasoning summaries to see the model's thought process. Different models support different summarizers—for example, `o4-mini` supports detailed summaries. Set `reasoningSummary: "auto"` to automatically receive the richest level available.
@@ -842,7 +910,7 @@ The following optional provider options are available for OpenAI completion mode
 | `gpt-4o`               | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `gpt-4o-mini`          | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `gpt-4o-audio-preview` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gpt-4.1`              | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gpt-4-turbo`          | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `gpt-4`                | <Cross size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `gpt-3.5-turbo`        | <Cross size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `o1`                   | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> |
@@ -863,25 +931,28 @@ The following optional provider options are available for OpenAI completion mode
 ## Embedding Models
 
 You can create models that call the [OpenAI embeddings API](https://platform.openai.com/docs/api-reference/embeddings)
-using the `.embedding()` factory method.
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = openai.embedding('text-embedding-3-large');
+const model = openai.textEmbedding('text-embedding-3-large');
 ```
 
 OpenAI embedding models support several additional provider options.
 You can pass them as an options argument:
 
 ```ts
-const model = openai.embedding('text-embedding-3-large');
+import { openai } from '@ai-sdk/openai';
+import { embed } from 'ai';
 
-await model.doEmbed({
+const { embedding } = await embed({
+  model: openai.textEmbedding('text-embedding-3-large'),
+  value: 'sunny day at the beach',
   providerOptions: {
     openai: {
-      dimensions: 512 // optional, number of dimensions for the embedding
-      user: 'test-user' // optional unique user identifier
-    }
-  }
+      dimensions: 512, // optional, number of dimensions for the embedding
+      user: 'test-user', // optional unique user identifier
+    },
+  },
 });
 ```
 
diff --git a/content/providers/01-ai-sdk-providers/04-azure.mdx b/content/providers/01-ai-sdk-providers/04-azure.mdx
index 657d2186a120..b30199173251 100644
--- a/content/providers/01-ai-sdk-providers/04-azure.mdx
+++ b/content/providers/01-ai-sdk-providers/04-azure.mdx
@@ -49,7 +49,7 @@ You can use the following optional settings to customize the OpenAI provider ins
   Azure resource name.
   It defaults to the `AZURE_RESOURCE_NAME` environment variable.
 
-  The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/deployments/{modelId}{path}`.
+  The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.
   You can use `baseURL` instead to specify the URL prefix.
 
 - **apiKey** _string_
@@ -60,7 +60,7 @@ You can use the following optional settings to customize the OpenAI provider ins
 - **apiVersion** _string_
 
   Sets a custom [api version](https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation).
-  Defaults to `2024-10-01-preview`.
+  Defaults to `preview`.
 
 - **baseURL** _string_
 
@@ -69,7 +69,7 @@ You can use the following optional settings to customize the OpenAI provider ins
   Either this or `resourceName` can be used.
   When a baseURL is provided, the resourceName is ignored.
 
-  With a baseURL, the resolved URL is `{baseURL}/{modelId}{path}`.
+  With a baseURL, the resolved URL is `{baseURL}/v1{path}`.
 
 - **headers** _Record&lt;string,string&gt;_
 
@@ -170,16 +170,19 @@ const { text } = await generateText({
 
 <Note>
   The URL for calling Azure chat models will be constructed as follows:
-  `https://RESOURCE_NAME.openai.azure.com/openai/deployments/DEPLOYMENT_NAME/chat/completions?api-version=API_VERSION`
+  `https://RESOURCE_NAME.openai.azure.com/openai/v1/chat/completions?api-version=preview`
 </Note>
 
 Azure OpenAI chat models support also some model specific settings that are not part of the [standard call settings](/docs/ai-sdk-core/settings).
 You can pass them as an options argument:
 
 ```ts
-const model = azure('your-deployment-name');
+import { azure } from '@ai-sdk/azure';
+import { generateText } from 'ai';
 
-await model.doGenerate({
+const result = await generateText({
+  model: azure('your-deployment-name'),
+  prompt: 'Write a short story about a robot.',
   providerOptions: {
     azure: {
       logitBias: {
@@ -283,8 +286,8 @@ The following provider options are available:
 - **reasoningEffort** _'low' | 'medium' | 'high'_
   Reasoning effort for reasoning models. Defaults to `medium`. If you use `providerOptions` to set the `reasoningEffort` option, this model setting will be ignored.
 
-- **strictSchemas** _boolean_
-  Whether to use strict JSON schemas in tools and when generating JSON outputs. Defaults to `true`.
+- **strictJsonSchema** _boolean_
+  Whether to use strict JSON schema validation. Defaults to `false`.
 
 The Azure OpenAI responses provider also returns provider-specific metadata:
 
@@ -354,9 +357,12 @@ OpenAI completion models support also some model specific settings that are not
 You can pass them as an options argument:
 
 ```ts
-const model = azure.completion('your-gpt-35-turbo-instruct-deployment');
+import { azure } from '@ai-sdk/azure';
+import { generateText } from 'ai';
 
-await model.doGenerate({
+const result = await generateText({
+  model: azure.completion('your-gpt-35-turbo-instruct-deployment'),
+  prompt: 'Write a haiku about coding.',
   providerOptions: {
     azure: {
       echo: true, // optional, echo the prompt in addition to the completion
@@ -416,26 +422,29 @@ The following optional provider options are available for Azure OpenAI completio
 ## Embedding Models
 
 You can create models that call the Azure OpenAI embeddings API
-using the `.embedding()` factory method.
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = azure.embedding('your-embedding-deployment');
+const model = azure.textEmbedding('your-embedding-deployment');
 ```
 
 Azure OpenAI embedding models support several additional settings.
 You can pass them as an options argument:
 
 ```ts
-const model = azure.embedding('your-embedding-deployment');
+import { azure } from '@ai-sdk/azure';
+import { embed } from 'ai';
 
-await model.doEmbed({
+const { embedding } = await embed({
+  model: azure.textEmbedding('your-embedding-deployment'),
+  value: 'sunny day at the beach',
   providerOptions: {
     azure: {
-      dimensions: 512 // optional, number of dimensions for the embedding
-      user: 'test-user' // optional unique user identifier
-    }
-  }
-})
+      dimensions: 512, // optional, number of dimensions for the embedding
+      user: 'test-user', // optional unique user identifier
+    },
+  },
+});
 ```
 
 The following optional provider options are available for Azure OpenAI embedding models:
@@ -452,17 +461,17 @@ The following optional provider options are available for Azure OpenAI embedding
 
 ## Image Models
 
-You can create models that call the Azure OpenAI image generation API (DALL-E) using the `.imageModel()` factory method. The first argument is your deployment name for the DALL-E model.
+You can create models that call the Azure OpenAI image generation API (DALL-E) using the `.image()` factory method. The first argument is your deployment name for the DALL-E model.
 
 ```ts
-const model = azure.imageModel('your-dalle-deployment-name');
+const model = azure.image('your-dalle-deployment-name');
 ```
 
 Azure OpenAI image models support several additional settings. You can pass them as `providerOptions.azure` when generating the image:
 
 ```ts
 await generateImage({
-  model: azure.imageModel('your-dalle-deployment-name'),
+  model: azure.image('your-dalle-deployment-name'),
   prompt: 'A photorealistic image of a cat astronaut floating in space',
   size: '1024x1024', // '1024x1024', '1792x1024', or '1024x1792' for DALL-E 3
   providerOptions: {
@@ -483,7 +492,7 @@ import { azure } from '@ai-sdk/azure';
 import { experimental_generateImage as generateImage } from 'ai';
 
 const { image } = await generateImage({
-  model: azure.imageModel('your-dalle-deployment-name'),
+  model: azure.image('your-dalle-deployment-name'),
   prompt: 'A photorealistic image of a cat astronaut floating in space',
   size: '1024x1024', // '1024x1024', '1792x1024', or '1024x1792' for DALL-E 3
 });
diff --git a/content/providers/01-ai-sdk-providers/05-anthropic.mdx b/content/providers/01-ai-sdk-providers/05-anthropic.mdx
index 1a28e529c380..6c1cb294857f 100644
--- a/content/providers/01-ai-sdk-providers/05-anthropic.mdx
+++ b/content/providers/01-ai-sdk-providers/05-anthropic.mdx
@@ -110,7 +110,7 @@ The following optional provider options are available for Anthropic models:
 
 ### Reasoning
 
-Anthropic has reasoning support for `claude-4-opus-20250514`, `claude-4-sonnet-20250514`, and `claude-3-7-sonnet-20250219` models.
+Anthropic has reasoning support for `claude-opus-4-20250514`, `claude-sonnet-4-20250514`, and `claude-3-7-sonnet-20250219` models.
 
 You can enable it using the `thinking` provider option
 and specifying a thinking budget in tokens.
@@ -120,7 +120,7 @@ import { anthropic, AnthropicProviderOptions } from '@ai-sdk/anthropic';
 import { generateText } from 'ai';
 
 const { text, reasoning, reasoningDetails } = await generateText({
-  model: anthropic('claude-4-opus-20250514'),
+  model: anthropic('claude-opus-4-20250514'),
   prompt: 'How many people will live in the world in 2040?',
   providerOptions: {
     anthropic: {
@@ -139,13 +139,6 @@ on how to integrate reasoning into your chatbot.
 
 ### Cache Control
 
-<Note>
-  Anthropic cache control was originally a beta feature and required passing an
-  opt-in `cacheControl` setting when creating the model instance. It is now
-  Generally Available and enabled by default. The `cacheControl` setting is no
-  longer needed and will be removed in a future release.
-</Note>
-
 In the messages and message parts, you can use the `providerOptions` property to set cache control breakpoints.
 You need to set the `anthropic` property in the `providerOptions` object to `{ cacheControl: { type: 'ephemeral' } }` to set a cache control breakpoint.
 
@@ -211,6 +204,65 @@ const result = await generateText({
 });
 ```
 
+Cache control for tools:
+
+```ts
+const result = await generateText({
+  model: anthropic('claude-3-5-haiku-latest'),
+  tools: {
+    cityAttractions: tool({
+      inputSchema: z.object({ city: z.string() }),
+      providerOptions: {
+        anthropic: {
+          cacheControl: { type: 'ephemeral' },
+        },
+      },
+    }),
+  },
+  messages: [
+    {
+      role: 'user',
+      content: 'User prompt',
+    },
+  ],
+});
+```
+
+#### Longer cache TTL
+
+Anthropic also supports a longer 1-hour cache duration. At time of writing,
+[this is currently in beta](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#1-hour-cache-duration),
+so you must pass a `'anthropic-beta'` header set to `'extended-cache-ttl-2025-04-11'`.
+
+Here's an example:
+
+```ts
+const result = await generateText({
+  model: anthropic('claude-3-5-haiku-latest'),
+  headers: {
+    'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+  },
+  messages: [
+    {
+      role: 'user',
+      content: [
+        {
+          type: 'text',
+          text: 'Long cached message',
+          providerOptions: {
+            anthropic: {
+              cacheControl: { type: 'ephemeral', ttl: '1h' },
+            },
+          },
+        },
+      ],
+    },
+  ],
+});
+```
+
+#### Limitations
+
 The minimum cacheable prompt length is:
 
 - 1024 tokens for Claude 3.7 Sonnet, Claude 3.5 Sonnet and Claude 3 Opus
@@ -230,7 +282,7 @@ For more on prompt caching with Anthropic, see [Anthropic's Cache Control docume
 
 ### Computer Use
 
-Anthropic provides three built-in tools that can be used to interact with external systems:
+Anthropic provides three provider-defined tools that can be used to interact with external systems:
 
 1. **Bash Tool**: Allows running bash commands.
 2. **Text Editor Tool**: Provides functionality for viewing and editing text files.
@@ -258,7 +310,28 @@ Parameters:
 
 #### Text Editor Tool
 
-The Text Editor Tool provides functionality for viewing and editing text files:
+The Text Editor Tool provides functionality for viewing and editing text files.
+
+**For Claude 4 models (Opus & Sonnet):**
+
+```ts
+const textEditorTool = anthropic.tools.textEditor_20250429({
+  execute: async ({
+    command,
+    path,
+    file_text,
+    insert_line,
+    new_str,
+    old_str,
+    view_range,
+  }) => {
+    // Implement your text editing logic here
+    // Return the result of the text editing operation
+  },
+});
+```
+
+**For Claude 3.5 Sonnet and earlier models:**
 
 ```ts
 const textEditorTool = anthropic.tools.textEditor_20241022({
@@ -279,7 +352,7 @@ const textEditorTool = anthropic.tools.textEditor_20241022({
 
 Parameters:
 
-- `command` ('view' | 'create' | 'str_replace' | 'insert' | 'undo_edit'): The command to run.
+- `command` ('view' | 'create' | 'str_replace' | 'insert' | 'undo_edit'): The command to run. Note: `undo_edit` is only available in Claude 3.5 Sonnet and earlier models.
 - `path` (string): Absolute path to file or directory, e.g. `/repo/file.py` or `/repo`.
 - `file_text` (string, optional): Required for `create` command, with the content of the file to be created.
 - `insert_line` (number, optional): Required for `insert` command. The line number after which to insert the new string.
@@ -287,15 +360,29 @@ Parameters:
 - `old_str` (string, optional): Required for `str_replace` command, containing the string to replace.
 - `view_range` (number[], optional): Optional for `view` command to specify line range to show.
 
-When using the Text Editor Tool, make sure to name the key in the tools object `str_replace_editor`.
+When using the Text Editor Tool, make sure to name the key in the tools object correctly:
+
+- **Claude 4 models**: Use `str_replace_based_edit_tool`
+- **Claude 3.5 Sonnet and earlier**: Use `str_replace_editor`
 
 ```ts
+// For Claude 4 models
+const response = await generateText({
+  model: anthropic('claude-opus-4-20250514'),
+  prompt:
+    "Create a new file called example.txt, write 'Hello World' to it, and run 'cat example.txt' in the terminal",
+  tools: {
+    str_replace_based_edit_tool: textEditorTool, // Claude 4 tool name
+  },
+});
+
+// For Claude 3.5 Sonnet and earlier
 const response = await generateText({
   model: anthropic('claude-3-5-sonnet-20241022'),
   prompt:
     "Create a new file called example.txt, write 'Hello World' to it, and run 'cat example.txt' in the terminal",
   tools: {
-    str_replace_editor: textEditorTool,
+    str_replace_editor: textEditorTool, // Earlier models tool name
   },
 });
 ```
@@ -335,7 +422,7 @@ const computerTool = anthropic.tools.computer_20241022({
   },
 
   // map to tool result content for LLM consumption:
-  experimental_toToolResultContent(result) {
+  toModelOutput(result) {
     return typeof result === 'string'
       ? [{ type: 'text', text: result }]
       : [{ type: 'image', data: result.data, mediaType: 'image/png' }];
@@ -353,28 +440,28 @@ These tools can be used in conjunction with the `sonnet-3-5-sonnet-20240620` mod
 
 ### Web Search
 
-Anthropic provides a built-in web search tool that gives Claude direct access to real-time web content, allowing it to answer questions with up-to-date information beyond its knowledge cutoff.
+Anthropic provides a provider-defined web search tool that gives Claude direct access to real-time web content, allowing it to answer questions with up-to-date information beyond its knowledge cutoff.
 
 <Note>
   Web search must be enabled in your organization's [Console
   settings](https://console.anthropic.com/settings/privacy).
 </Note>
 
-You can enable web search using the `webSearch` provider option:
+You can enable web search using the provider-defined web search tool:
 
 ```ts
 import { anthropic } from '@ai-sdk/anthropic';
 import { generateText } from 'ai';
 
+const webSearchTool = anthropic.tools.webSearch_20250305({
+  maxUses: 5,
+});
+
 const result = await generateText({
   model: anthropic('claude-opus-4-20250514'),
   prompt: 'What are the latest developments in AI?',
-  providerOptions: {
-    anthropic: {
-      webSearch: {
-        maxUses: 5,
-      },
-    },
+  tools: {
+    web_search: webSearchTool,
   },
 });
 ```
@@ -400,24 +487,24 @@ The web search tool supports several configuration options:
   Optional user location information to provide geographically relevant search results.
 
 ```ts
+const webSearchTool = anthropic.tools.webSearch_20250305({
+  maxUses: 3,
+  allowedDomains: ['techcrunch.com', 'wired.com'],
+  blockedDomains: ['example-spam-site.com'],
+  userLocation: {
+    type: 'approximate',
+    country: 'US',
+    region: 'California',
+    city: 'San Francisco',
+    timezone: 'America/Los_Angeles',
+  },
+});
+
 const result = await generateText({
   model: anthropic('claude-opus-4-20250514'),
   prompt: 'Find local news about technology',
-  providerOptions: {
-    anthropic: {
-      webSearch: {
-        maxUses: 3,
-        allowedDomains: ['techcrunch.com', 'wired.com'],
-        blockedDomains: ['example-spam-site.com'],
-        userLocation: {
-          type: 'approximate',
-          country: 'US',
-          region: 'California',
-          city: 'San Francisco',
-          timezone: 'America/Los_Angeles',
-        },
-      },
-    },
+  tools: {
+    web_search: webSearchTool,
   },
 });
 ```
@@ -434,10 +521,8 @@ try {
   const result = await generateText({
     model: anthropic('claude-opus-4-20250514'),
     prompt: 'Search for something',
-    providerOptions: {
-      anthropic: {
-        webSearch: { maxUses: 1 },
-      },
+    tools: {
+      web_search: webSearchTool,
     },
   });
 } catch (error) {
@@ -455,10 +540,8 @@ Web search errors are delivered as error parts in the stream:
 const result = await streamText({
   model: anthropic('claude-opus-4-20250514'),
   prompt: 'Search for something',
-  providerOptions: {
-    anthropic: {
-      webSearch: { maxUses: 1 },
-    },
+  tools: {
+    web_search: webSearchTool,
   },
 });
 
@@ -534,12 +617,12 @@ and the `mediaType` should be set to `'application/pdf'`.
 
 | Model                        | Image Input         | Object Generation   | Tool Usage          | Computer Use        | Web Search          |
 | ---------------------------- | ------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `claude-4-opus-20250514`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `claude-4-sonnet-20250514`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `claude-opus-4-20250514`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `claude-sonnet-4-20250514`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `claude-3-7-sonnet-20250219` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `claude-3-5-sonnet-20241022` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `claude-3-5-sonnet-20240620` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> |
-| `claude-3-5-haiku-20241022`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> |
+| `claude-3-5-haiku-20241022`  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Check size={18} /> |
 | `claude-3-opus-20240229`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `claude-3-sonnet-20240229`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `claude-3-haiku-20240307`    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
diff --git a/content/providers/01-ai-sdk-providers/08-amazon-bedrock.mdx b/content/providers/01-ai-sdk-providers/08-amazon-bedrock.mdx
index 37321f909304..a1ff8fd8d96d 100644
--- a/content/providers/01-ai-sdk-providers/08-amazon-bedrock.mdx
+++ b/content/providers/01-ai-sdk-providers/08-amazon-bedrock.mdx
@@ -239,7 +239,8 @@ You can use the `bedrock` provider options to utilize [Amazon Bedrock Guardrails
 
 ```ts
 const result = await generateText({
-  bedrock('anthropic.claude-3-sonnet-20240229-v1:0'),
+  model: bedrock('anthropic.claude-3-sonnet-20240229-v1:0'),
+  prompt: 'Write a story about space exploration.',
   providerOptions: {
     bedrock: {
       guardrailConfig: {
@@ -394,24 +395,23 @@ on how to integrate reasoning into your chatbot.
 | ------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
 | `amazon.titan-tg1-large`                    | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `amazon.titan-text-express-v1`              | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `amazon.nova-micro-v1:0`                    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `amazon.nova-lite-v1:0`                     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `amazon.nova-pro-v1:0`                      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `anthropic.claude-4-sonnet-20250514-v1:0`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `anthropic.claude-4-opus-20250514-v1:0`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `amazon.titan-text-lite-v1`                 | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `anthropic.claude-sonnet-4-20250514-v1:0`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `anthropic.claude-opus-4-20250514-v1:0`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `anthropic.claude-3-7-sonnet-20250219-v1:0` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `anthropic.claude-3-5-sonnet-20241022-v2:0` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `anthropic.claude-3-5-sonnet-20240620-v1:0` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `anthropic.claude-3-5-haiku-20241022-v1:0`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `anthropic.claude-3-5-haiku-20241022-v1:0`  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `anthropic.claude-3-opus-20240229-v1:0`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `anthropic.claude-3-sonnet-20240229-v1:0`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `anthropic.claude-3-haiku-20240307-v1:0`    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `anthropic.claude-v2`                       | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `anthropic.claude-v2:1`                     | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `anthropic.claude-instant-v1`               | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `cohere.command-text-v14`                   | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `cohere.command-light-text-v14`             | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `cohere.command-r-v1:0`                     | <Cross size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `cohere.command-r-plus-v1:0`                | <Cross size={18} /> | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> |
-| `deepseek.r1-v1:0`                          | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `meta.llama2-13b-chat-v1`                   | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `meta.llama2-70b-chat-v1`                   | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `meta.llama3-8b-instruct-v1:0`              | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `meta.llama3-70b-instruct-v1:0`             | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `meta.llama3-1-8b-instruct-v1:0`            | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
@@ -436,23 +436,28 @@ on how to integrate reasoning into your chatbot.
 ## Embedding Models
 
 You can create models that call the Bedrock API [Bedrock API](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html)
-using the `.embedding()` factory method.
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = bedrock.embedding('amazon.titan-embed-text-v1');
+const model = bedrock.textEmbedding('amazon.titan-embed-text-v1');
 ```
 
 Bedrock Titan embedding model amazon.titan-embed-text-v2:0 supports several additional settings.
 You can pass them as an options argument:
 
 ```ts
-const model = bedrock.embedding('amazon.titan-embed-text-v2:0');
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { embed } from 'ai';
+
+const model = bedrock.textEmbedding('amazon.titan-embed-text-v2:0');
 
-await model.doEmbed({
+const { embedding } = await embed({
+  model,
+  value: 'sunny day at the beach',
   providerOptions: {
     bedrock: {
-      dimensions: 512 // optional, number of dimensions for the embedding
-      normalize: true // optional  normalize the output embeddings
+      dimensions: 512, // optional, number of dimensions for the embedding
+      normalize: true, // optional, normalize the output embeddings
     },
   },
 });
@@ -474,6 +479,8 @@ The following optional provider options are available for Bedrock Titan embeddin
 | ------------------------------ | ------------------ | ------------------- |
 | `amazon.titan-embed-text-v1`   | 1536               | <Cross size={18} /> |
 | `amazon.titan-embed-text-v2:0` | 1024               | <Check size={18} /> |
+| `cohere.embed-english-v3`      | 1024               | <Cross size={18} /> |
+| `cohere.embed-multilingual-v3` | 1024               | <Cross size={18} /> |
 
 ## Image Models
 
@@ -499,7 +506,7 @@ import { bedrock } from '@ai-sdk/amazon-bedrock';
 import { experimental_generateImage as generateImage } from 'ai';
 
 const { image } = await generateImage({
-  model: bedrock.imageModel('amazon.nova-canvas-v1:0'),
+  model: bedrock.image('amazon.nova-canvas-v1:0'),
   prompt: 'A beautiful sunset over a calm ocean',
   size: '512x512',
   seed: 42,
@@ -513,14 +520,43 @@ import { bedrock } from '@ai-sdk/amazon-bedrock';
 import { experimental_generateImage as generateImage } from 'ai';
 
 const { image } = await generateImage({
-  model: bedrock.imageModel('amazon.nova-canvas-v1:0'),
+  model: bedrock.image('amazon.nova-canvas-v1:0'),
   prompt: 'A beautiful sunset over a calm ocean',
   size: '512x512',
   seed: 42,
-  providerOptions: { bedrock: { quality: 'premium' } },
+  providerOptions: {
+    bedrock: {
+      quality: 'premium',
+      negativeText: 'blurry, low quality',
+      cfgScale: 7.5,
+      style: 'PHOTOREALISM',
+    },
+  },
 });
 ```
 
+The following optional provider options are available for Amazon Nova Canvas:
+
+- **quality** _string_
+
+  The quality level for image generation. Accepts `'standard'` or `'premium'`.
+
+- **negativeText** _string_
+
+  Text describing what you don't want in the generated image.
+
+- **cfgScale** _number_
+
+  Controls how closely the generated image adheres to the prompt. Higher values result in images that are more closely aligned to the prompt.
+
+- **style** _string_
+
+  Predefined visual style for image generation.  
+  Accepts one of:
+  `3D_ANIMATED_FAMILY_FILM` · `DESIGN_SKETCH` · `FLAT_VECTOR_ILLUSTRATION` ·  
+  `GRAPHIC_NOVEL_ILLUSTRATION` · `MAXIMALISM` · `MIDCENTURY_RETRO` ·  
+  `PHOTOREALISM` · `SOFT_DIGITAL_PAINTING`.
+
 Documentation for additional settings can be found within the [Amazon Bedrock
 User Guide for Amazon Nova
 Documentation](https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html).
@@ -531,7 +567,7 @@ You can customize the generation behavior with optional options:
 
 ```ts
 await generateImage({
-  model: bedrock.imageModel('amazon.nova-canvas-v1:0'),
+  model: bedrock.image('amazon.nova-canvas-v1:0'),
   prompt: 'A beautiful sunset over a calm ocean',
   size: '512x512',
   seed: 42,
diff --git a/content/providers/01-ai-sdk-providers/09-groq.mdx b/content/providers/01-ai-sdk-providers/09-groq.mdx
index bc6f8fb7597a..cd2f5c939c7a 100644
--- a/content/providers/01-ai-sdk-providers/09-groq.mdx
+++ b/content/providers/01-ai-sdk-providers/09-groq.mdx
@@ -88,14 +88,102 @@ import { generateText } from 'ai';
 const result = await generateText({
   model: groq('qwen-qwq-32b'),
   providerOptions: {
-    groq: { reasoningFormat: 'parsed' },
+    groq: {
+      reasoningFormat: 'parsed',
+      parallelToolCalls: true, // Enable parallel function calling (default: true)
+      user: 'user-123', // Unique identifier for end-user (optional)
+    },
   },
   prompt: 'How many "r"s are in the word "strawberry"?',
 });
 ```
 
+The following optional provider options are available for Groq language models:
+
+- **reasoningFormat** _'parsed' | 'raw' | 'hidden'_
+
+  Controls how reasoning is exposed in the generated text. Only supported by reasoning models like `qwen-qwq-32b` and `deepseek-r1-distill-*` models.
+
+  For a complete list of reasoning models and their capabilities, see [Groq's reasoning models documentation](https://console.groq.com/docs/reasoning).
+
+- **structuredOutputs** _boolean_
+
+  Whether to use structured outputs.
+
+  Defaults to `true`.
+
+  When enabled, object generation will use the `json_schema` format instead of `json_object` format, providing more reliable structured outputs.
+
+- **parallelToolCalls** _boolean_
+
+  Whether to enable parallel function calling during tool use. Defaults to `true`.
+
+- **user** _string_
+
+  A unique identifier representing your end-user, which can help with monitoring and abuse detection.
+
 <Note>Only Groq reasoning models support the `reasoningFormat` option.</Note>
 
+#### Structured Outputs
+
+Structured outputs are enabled by default for Groq models.
+You can disable them by setting the `structuredOutputs` option to `false`.
+
+```ts
+import { groq } from '@ai-sdk/groq';
+import { generateObject } from 'ai';
+import { z } from 'zod';
+
+const result = await generateObject({
+  model: groq('moonshotai/kimi-k2-instruct'),
+  schema: z.object({
+    recipe: z.object({
+      name: z.string(),
+      ingredients: z.array(z.string()),
+      instructions: z.array(z.string()),
+    }),
+  }),
+  prompt: 'Generate a simple pasta recipe.',
+});
+
+console.log(JSON.stringify(result.object, null, 2));
+```
+
+You can disable structured outputs for models that don't support them:
+
+```ts highlight="9"
+import { groq } from '@ai-sdk/groq';
+import { generateObject } from 'ai';
+import { z } from 'zod';
+
+const result = await generateObject({
+  model: groq('gemma2-9b-it'),
+  providerOptions: {
+    groq: {
+      structuredOutputs: false,
+    },
+  },
+  schema: z.object({
+    recipe: z.object({
+      name: z.string(),
+      ingredients: z.array(z.string()),
+      instructions: z.array(z.string()),
+    }),
+  }),
+  prompt: 'Generate a simple pasta recipe in JSON format.',
+});
+
+console.log(JSON.stringify(result.object, null, 2));
+```
+
+<Note type="warning">
+  Structured outputs are only supported by newer Groq models like
+  `moonshotai/kimi-k2-instruct`. For unsupported models, you can disable
+  structured outputs by setting `structuredOutputs: false`. When disabled, Groq
+  uses the `json_object` format which requires the word "JSON" to be included in
+  your messages.
+</Note>
+
 ### Example
 
 You can use Groq language models to generate text with the `generateText` function:
@@ -110,29 +198,86 @@ const { text } = await generateText({
 });
 ```
 
+### Image Input
+
+Groq's multi-modal models like `meta-llama/llama-4-scout-17b-16e-instruct` support image inputs. You can include images in your messages using either URLs or base64-encoded data:
+
+```ts
+import { groq } from '@ai-sdk/groq';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: groq('meta-llama/llama-4-scout-17b-16e-instruct'),
+  messages: [
+    {
+      role: 'user',
+      content: [
+        { type: 'text', text: 'What do you see in this image?' },
+        {
+          type: 'image',
+          image: 'https://example.com/image.jpg',
+        },
+      ],
+    },
+  ],
+});
+```
+
+You can also use base64-encoded images:
+
+```ts
+import { groq } from '@ai-sdk/groq';
+import { generateText } from 'ai';
+import { readFileSync } from 'fs';
+
+const imageData = readFileSync('path/to/image.jpg', 'base64');
+
+const { text } = await generateText({
+  model: groq('meta-llama/llama-4-scout-17b-16e-instruct'),
+  messages: [
+    {
+      role: 'user',
+      content: [
+        { type: 'text', text: 'Describe this image in detail.' },
+        {
+          type: 'image',
+          image: `data:image/jpeg;base64,${imageData}`,
+        },
+      ],
+    },
+  ],
+});
+```
+
 ## Model Capabilities
 
-| Model                                       | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
-| ------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `meta-llama/llama-4-scout-17b-16e-instruct` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemma2-9b-it`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama-3.3-70b-versatile`                   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama-3.1-8b-instant`                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama-guard-3-8b`                          | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama3-70b-8192`                           | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama3-8b-8192`                            | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `mixtral-8x7b-32768`                        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `qwen-qwq-32b`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `mistral-saba-24b`                          | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `qwen-2.5-32b`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `deepseek-r1-distill-qwen-32b`              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `deepseek-r1-distill-llama-70b`             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| Model                                           | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
+| ----------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `gemma2-9b-it`                                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama-3.1-8b-instant`                          | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama-3.3-70b-versatile`                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `meta-llama/llama-guard-4-12b`                  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `deepseek-r1-distill-llama-70b`                 | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `meta-llama/llama-4-maverick-17b-128e-instruct` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `meta-llama/llama-4-scout-17b-16e-instruct`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `meta-llama/llama-prompt-guard-2-22m`           | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `meta-llama/llama-prompt-guard-2-86m`           | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `mistral-saba-24b`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `moonshotai/kimi-k2-instruct`                   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `qwen/qwen3-32b`                                | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama-guard-3-8b`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama3-70b-8192`                               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama3-8b-8192`                                | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `mixtral-8x7b-32768`                            | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `qwen-qwq-32b`                                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `qwen-2.5-32b`                                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `deepseek-r1-distill-qwen-32b`                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 
 <Note>
-  The table above lists popular models. Please see the [Groq
-  docs](https://console.groq.com/docs/models) for a full list of available
-  models. The table above lists popular models. You can also pass any available
-  provider model ID as a string if needed.
+  The tables above list the most commonly used models. Please see the [Groq
+  docs](https://console.groq.com/docs/models) for a complete list of available
+  models. You can also pass any available provider model ID as a string if
+  needed.
 </Note>
 
 ## Transcription Models
@@ -186,5 +331,5 @@ The following provider options are available:
 | Model                        | Transcription       | Duration            | Segments            | Language            |
 | ---------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
 | `whisper-large-v3`           | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `whisper-large-v3-turbo`     | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `distil-whisper-large-v3-en` | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `whisper-large-v3-turbo`     | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `distil-whisper-large-v3-en` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
diff --git a/content/providers/01-ai-sdk-providers/10-fal.mdx b/content/providers/01-ai-sdk-providers/10-fal.mdx
index 245aa47c91f5..96047f1a269a 100644
--- a/content/providers/01-ai-sdk-providers/10-fal.mdx
+++ b/content/providers/01-ai-sdk-providers/10-fal.mdx
@@ -104,17 +104,20 @@ providerMetadata.fal.images[0].content_type; // string, mime type of the image
 
 Fal offers many models optimized for different use cases. Here are a few popular examples. For a full list of models, see the [Fal AI documentation](https://fal.ai/models).
 
-| Model                               | Description                                                                                                                                                   |
-| ----------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `fal-ai/fast-sdxl`                  | High-speed SDXL model optimized for quick inference with up to 4x faster speeds                                                                               |
-| `fal-ai/flux-pro/kontext`           | FLUX.1 Kontext [pro] handles both text and reference images as inputs, seamlessly enabling targeted, local edits and complex transformations of entire scenes |
-| `fal-ai/flux-pro/kontext/max`       | FLUX.1 Kontext [max] with greatly improved prompt adherence and typography generation, meeting premium consistency for editing without compromise on speed    |
-| `fal-ai/flux-lora`                  | Super fast endpoint for the FLUX.1 [dev] model with LoRA support, enabling rapid and high-quality image generation using pre-trained LoRA adaptations.        |
-| `fal-ai/flux-pro/v1.1-ultra`        | Professional-grade image generation with up to 2K resolution and enhanced photorealism                                                                        |
-| `fal-ai/ideogram/v2`                | Specialized for high-quality posters and logos with exceptional typography handling                                                                           |
-| `fal-ai/recraft-v3`                 | SOTA in image generation with vector art and brand style capabilities                                                                                         |
-| `fal-ai/stable-diffusion-3.5-large` | Advanced MMDiT model with improved typography and complex prompt understanding                                                                                |
-| `fal-ai/hyper-sdxl`                 | Performance-optimized SDXL variant with enhanced creative capabilities                                                                                        |
+| Model                                | Description                                                                                                                                                   |
+| ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `fal-ai/fast-sdxl`                   | High-speed SDXL model optimized for quick inference with up to 4x faster speeds                                                                               |
+| `fal-ai/flux-pro/kontext`            | FLUX.1 Kontext [pro] handles both text and reference images as inputs, seamlessly enabling targeted, local edits and complex transformations of entire scenes |
+| `fal-ai/flux-pro/kontext/max`        | FLUX.1 Kontext [max] with greatly improved prompt adherence and typography generation, meeting premium consistency for editing without compromise on speed    |
+| `fal-ai/flux-lora`                   | Super fast endpoint for the FLUX.1 [dev] model with LoRA support, enabling rapid and high-quality image generation using pre-trained LoRA adaptations.        |
+| `fal-ai/flux-pro/v1.1-ultra`         | Professional-grade image generation with up to 2K resolution and enhanced photorealism                                                                        |
+| `fal-ai/ideogram/v2`                 | Specialized for high-quality posters and logos with exceptional typography handling                                                                           |
+| `fal-ai/recraft-v3`                  | SOTA in image generation with vector art and brand style capabilities                                                                                         |
+| `fal-ai/stable-diffusion-3.5-large`  | Advanced MMDiT model with improved typography and complex prompt understanding                                                                                |
+| `fal-ai/hyper-sdxl`                  | Performance-optimized SDXL variant with enhanced creative capabilities                                                                                        |
+| `fal-ai/flux/dev`                    | FLUX.1 [dev] model for high-quality image generation                                                                                                          |
+| `fal-ai/flux/schnell`                | FLUX.1 [schnell] model optimized for speed                                                                                                                    |
+| `fal-ai/stable-diffusion-3.5-medium` | Medium-sized Stable Diffusion 3.5 model with good balance of quality and speed                                                                                |
 
 Fal models support the following aspect ratios:
 
@@ -154,6 +157,18 @@ await generateImage({
 });
 ```
 
+### Provider Options
+
+Fal image models support flexible provider options through the `providerOptions.fal` object. You can pass any parameters supported by the specific Fal model's API. Common options include:
+
+- **image_url** - Reference image URL for image-to-image generation
+- **strength** - Controls how much the output differs from the input image
+- **guidance_scale** - Controls adherence to the prompt
+- **num_inference_steps** - Number of denoising steps
+- **safety_checker** - Enable/disable safety filtering
+
+Refer to the [Fal AI model documentation](https://fal.ai/models) for model-specific parameters.
+
 ### Advanced Features
 
 Fal's platform offers several advanced capabilities:
@@ -204,7 +219,7 @@ The following provider options are available:
 
 - **chunkLevel** _string_
   Level of the chunks to return. Either 'segment' or 'word'.
-  Default value: "word"
+  Default value: "segment"
   Optional.
 
 - **version** _string_
diff --git a/content/providers/01-ai-sdk-providers/11-deepinfra.mdx b/content/providers/01-ai-sdk-providers/11-deepinfra.mdx
index 23296f0e2b2e..550e8806b55e 100644
--- a/content/providers/01-ai-sdk-providers/11-deepinfra.mdx
+++ b/content/providers/01-ai-sdk-providers/11-deepinfra.mdx
@@ -46,7 +46,10 @@ You can use the following optional settings to customize the DeepInfra provider
 - **baseURL** _string_
 
   Use a different URL prefix for API calls, e.g. to use proxy servers.
-  The default prefix is `https://api.deepinfra.com/v1/openai`.
+  The default prefix is `https://api.deepinfra.com/v1`.
+
+  Note: Language models and embeddings use OpenAI-compatible endpoints at `{baseURL}/openai`,
+  while image models use `{baseURL}/inference`.
 
 - **apiKey** _string_
 
@@ -96,7 +99,7 @@ DeepInfra language models can also be used in the `streamText` function (see [AI
 | `meta-llama/Llama-3.2-11B-Vision-Instruct`          | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `meta-llama/Llama-3.2-90B-Vision-Instruct`          | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `mistralai/Mixtral-8x7B-Instruct-v0.1`              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
-| `deepseek-ai/DeepSeek-V3`                           | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `deepseek-ai/DeepSeek-V3`                           | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `deepseek-ai/DeepSeek-R1`                           | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `deepseek-ai/DeepSeek-R1-Distill-Llama-70B`         | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `deepseek-ai/DeepSeek-R1-Turbo`                     | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
@@ -180,3 +183,44 @@ For models supporting size parameters, dimensions must typically be:
 | `stabilityai/sdxl-turbo`           | Aspect Ratio             | Optimized for fast generation                            |
 
 For more details and pricing information, see the [DeepInfra text-to-image models page](https://deepinfra.com/models/text-to-image).
+
+## Embedding Models
+
+You can create DeepInfra embedding models using the `.textEmbedding()` factory method.
+For more on embedding models with the AI SDK see [embed()](/docs/reference/ai-sdk-core/embed).
+
+```ts
+import { deepinfra } from '@ai-sdk/deepinfra';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: deepinfra.textEmbedding('BAAI/bge-large-en-v1.5'),
+  value: 'sunny day at the beach',
+});
+```
+
+### Model Capabilities
+
+| Model                                                 | Dimensions | Max Tokens |
+| ----------------------------------------------------- | ---------- | ---------- |
+| `BAAI/bge-base-en-v1.5`                               | 768        | 512        |
+| `BAAI/bge-large-en-v1.5`                              | 1024       | 512        |
+| `BAAI/bge-m3`                                         | 1024       | 8192       |
+| `intfloat/e5-base-v2`                                 | 768        | 512        |
+| `intfloat/e5-large-v2`                                | 1024       | 512        |
+| `intfloat/multilingual-e5-large`                      | 1024       | 512        |
+| `sentence-transformers/all-MiniLM-L12-v2`             | 384        | 256        |
+| `sentence-transformers/all-MiniLM-L6-v2`              | 384        | 256        |
+| `sentence-transformers/all-mpnet-base-v2`             | 768        | 384        |
+| `sentence-transformers/clip-ViT-B-32`                 | 512        | 77         |
+| `sentence-transformers/clip-ViT-B-32-multilingual-v1` | 512        | 77         |
+| `sentence-transformers/multi-qa-mpnet-base-dot-v1`    | 768        | 512        |
+| `sentence-transformers/paraphrase-MiniLM-L6-v2`       | 384        | 128        |
+| `shibing624/text2vec-base-chinese`                    | 768        | 512        |
+| `thenlper/gte-base`                                   | 768        | 512        |
+| `thenlper/gte-large`                                  | 1024       | 512        |
+
+<Note>
+  For a complete list of available embedding models, see the [DeepInfra
+  embeddings page](https://deepinfra.com/models/embeddings).
+</Note>
diff --git a/content/providers/01-ai-sdk-providers/120-gladia.mdx b/content/providers/01-ai-sdk-providers/120-gladia.mdx
index a1d342f233f2..9fed3bfd509b 100644
--- a/content/providers/01-ai-sdk-providers/120-gladia.mdx
+++ b/content/providers/01-ai-sdk-providers/120-gladia.mdx
@@ -47,7 +47,7 @@ You can use the following optional settings to customize the Gladia provider ins
 - **apiKey** _string_
 
   API key that is being sent using the `Authorization` header.
-  It defaults to the `DEEPGRAM_API_KEY` environment variable.
+  It defaults to the `GLADIA_API_KEY` environment variable.
 
 - **headers** _Record&lt;string,string&gt;_
 
diff --git a/content/providers/01-ai-sdk-providers/15-google-generative-ai.mdx b/content/providers/01-ai-sdk-providers/15-google-generative-ai.mdx
index 92f13973ffa0..0bfb1e2e1c85 100644
--- a/content/providers/01-ai-sdk-providers/15-google-generative-ai.mdx
+++ b/content/providers/01-ai-sdk-providers/15-google-generative-ai.mdx
@@ -5,7 +5,7 @@ description: Learn how to use Google Generative AI Provider.
 
 # Google Generative AI Provider
 
-The [Google Generative AI](https://ai.google/discover/generativeai/) provider contains language and embedding model support for
+The [Google Generative AI](https://ai.google.dev) provider contains language and embedding model support for
 the [Google Generative AI](https://ai.google.dev/api/rest) APIs.
 
 ## Setup
@@ -68,23 +68,33 @@ You can use the following optional settings to customize the Google Generative A
 ## Language Models
 
 You can create models that call the [Google Generative AI API](https://ai.google.dev/api/rest) using the provider instance.
-The first argument is the model id, e.g. `gemini-1.5-pro-latest`.
+The first argument is the model id, e.g. `gemini-2.5-flash`.
 The models support tool calls and some have multi-modal capabilities.
 
 ```ts
-const model = google('gemini-1.5-pro-latest');
+const model = google('gemini-2.5-flash');
 ```
 
-<Note>
-  You can use fine-tuned models by prefixing the model id with `tunedModels/`,
-  e.g. `tunedModels/my-model`.
-</Note>
+You can use Google Generative AI language models to generate text with the `generateText` function:
+
+```ts
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+```
+
+Google Generative AI language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions
+(see [AI SDK Core](/docs/ai-sdk-core)).
 
 Google Generative AI also supports some model specific settings that are not part of the [standard call settings](/docs/ai-sdk-core/settings).
 You can pass them as an options argument:
 
 ```ts
-const model = google('gemini-1.5-pro-latest');
+const model = google('gemini-2.5-flash');
 
 await generateText({
   model,
@@ -146,48 +156,48 @@ The following optional provider options are available for Google Generative AI m
 - **responseModalities** _string[]_
   The modalities to use for the response. The following modalities are supported: `TEXT`, `IMAGE`. When not defined or empty, the model defaults to returning only text.
 
-- **thinkingConfig** _\{ thinkingBudget: number; \}_
+- **thinkingConfig** _\{ thinkingBudget: number; includeThoughts: boolean \}_
 
   Optional. Configuration for the model's thinking process. Only supported by specific [Google Generative AI models](https://ai.google.dev/gemini-api/docs/thinking).
 
   - **thinkingBudget** _number_
 
-    Optional. Gives the model guidance on the number of thinking tokens it can use when
-    generating a response. Must be an integer in the range 0 to 24576. Setting it to 0
-    disables thinking. Budgets from 1 to 1024 tokens will be set to 1024.
-    For more information see [Google Generative AI documentation](https://ai.google.dev/gemini-api/docs/thinking).
+    Optional. Gives the model guidance on the number of thinking tokens it can use when generating a response. Setting it to 0 disables thinking, if the model supports it.
+    For more information about the possible value ranges for each model see [Google Generative AI thinking documentation](https://ai.google.dev/gemini-api/docs/thinking#set-budget).
 
-You can use Google Generative AI language models to generate text with the `generateText` function:
-
-```ts
-import { google } from '@ai-sdk/google';
-import { generateText } from 'ai';
+  - **includeThoughts** _boolean_
 
-const { text } = await generateText({
-  model: google('gemini-1.5-pro-latest'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-});
-```
+    Optional. If set to true, thought summaries are returned, which are synthisized versions of the model's raw thoughts and offer insights into the model's internal reasoning process.
 
-Google Generative AI language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions
-(see [AI SDK Core](/docs/ai-sdk-core)).
+### Thinking
 
-### Gemma Models
+The Gemini 2.5 series models use an internal "thinking process" that significantly improves their reasoning and multi-step planning abilities, making them highly effective for complex tasks such as coding, advanced mathematics, and data analysis. For more information see [Google Generative AI thinking documentation](https://ai.google.dev/gemini-api/docs/thinking).
 
-Gemma models don't natively support the `systemInstruction` parameter, but the provider automatically handles system instructions by prepending them to the first user message. This allows you to use system instructions with Gemma models seamlessly:
+You can control thinking budgets and enable a thought summary by setting the `thinkingConfig` parameter.
 
 ```ts
 import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
-const { text } = await generateText({
-  model: google('gemma-3-12b-it'),
-  system: 'You are a helpful assistant that responds concisely.',
-  prompt: 'What is machine learning?',
+const model = google('gemini-2.5-flash');
+
+const { text, reasoning } = await generateText({
+  model: model,
+  prompt: 'What is the sum of the first 10 prime numbers?',
+  providerOptions: {
+    google: {
+      thinkingConfig: {
+        thinkingBudget: 8192,
+        includeThoughts: true,
+      },
+    },
+  },
 });
-```
 
-The system instruction is automatically formatted and included in the conversation, so Gemma models can follow the guidance without any additional configuration.
+console.log(text);
+
+console.log(reasoning); // Reasoning summary
+```
 
 ### File Inputs
 
@@ -198,7 +208,7 @@ import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
 const result = await generateText({
-  model: google('gemini-1.5-flash'),
+  model: google('gemini-2.5-flash'),
   messages: [
     {
       role: 'user',
@@ -228,7 +238,64 @@ See [File Parts](/docs/foundations/prompts#file-parts) for details on how to use
 
 ### Cached Content
 
-You can use Google Generative AI language models to cache content:
+Google Generative AI supports both explicit and implicit caching to help reduce costs on repetitive content.
+
+#### Implicit Caching
+
+Gemini 2.5 models automatically provide cache cost savings without needing to create an explicit cache. When you send requests that share common prefixes with previous requests, you'll receive a 75% token discount on cached content.
+
+To maximize cache hits with implicit caching:
+
+- Keep content at the beginning of requests consistent
+- Add variable content (like user questions) at the end of prompts
+- Ensure requests meet minimum token requirements:
+  - Gemini 2.5 Flash: 1024 tokens minimum
+  - Gemini 2.5 Pro: 2048 tokens minimum
+
+```ts
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+// Structure prompts with consistent content at the beginning
+const baseContext =
+  'You are a cooking assistant with expertise in Italian cuisine. Here are 1000 lasagna recipes for reference...';
+
+const { text: veggieLasagna } = await generateText({
+  model: google('gemini-2.5-pro'),
+  prompt: `${baseContext}\n\nWrite a vegetarian lasagna recipe for 4 people.`,
+});
+
+// Second request with same prefix - eligible for cache hit
+const { text: meatLasagna, providerMetadata } = await generateText({
+  model: google('gemini-2.5-pro'),
+  prompt: `${baseContext}\n\nWrite a meat lasagna recipe for 12 people.`,
+});
+
+// Check cached token count in usage metadata
+console.log('Cached tokens:', providerMetadata.google?.usageMetadata);
+// e.g.
+// {
+//   groundingMetadata: null,
+//   safetyRatings: null,
+//   usageMetadata: {
+//     cachedContentTokenCount: 2027,
+//     thoughtsTokenCount: 702,
+//     promptTokenCount: 2152,
+//     candidatesTokenCount: 710,
+//     totalTokenCount: 3564
+//   }
+// }
+```
+
+<Note>
+  Usage metadata was added to `providerMetadata` in `@ai-sdk/google@1.2.23`. If
+  you are using an older version, usage metadata is available in the raw HTTP
+  `response` body returned as part of the return value from `generateText`.
+</Note>
+
+#### Explicit Caching
+
+For guaranteed cost savings, you can still use explicit caching with Gemini 2.5 and 2.0 models. See the [models page](https://ai.google.dev/gemini-api/docs/models) to check if caching is supported for the used model:
 
 ```ts
 import { google } from '@ai-sdk/google';
@@ -239,19 +306,14 @@ const cacheManager = new GoogleAICacheManager(
   process.env.GOOGLE_GENERATIVE_AI_API_KEY,
 );
 
-// As of August 23rd, 2024, these are the only models that support caching
-type GoogleModelCacheableId =
-  | 'models/gemini-1.5-flash-001'
-  | 'models/gemini-1.5-pro-001';
-
-const model: GoogleModelCacheableId = 'models/gemini-1.5-pro-001';
+const model = 'gemini-2.5-pro';
 
 const { name: cachedContent } = await cacheManager.create({
   model,
   contents: [
     {
       role: 'user',
-      parts: [{ text: '1000 Lasanga Recipes...' }],
+      parts: [{ text: '1000 Lasagna Recipes...' }],
     },
   ],
   ttlSeconds: 60 * 5,
@@ -278,23 +340,21 @@ const { text: meatLasangaRecipe } = await generateText({
 });
 ```
 
-### Search Grounding
+### Google Search
 
-With [search grounding](https://ai.google.dev/gemini-api/docs/grounding),
+With [search grounding](https://ai.google.dev/gemini-api/docs/google-search),
 the model has access to the latest information using Google search.
-Search grounding can be used to provide answers around current events:
+Google search can be used to provide answers around current events:
 
-```ts highlight="7,14-20"
+```ts highlight="8,17-20"
 import { google } from '@ai-sdk/google';
 import { GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
-const { text, providerMetadata } = await generateText({
-  model: google('gemini-1.5-pro'),
-  providerOptions: {
-    google: {
-      useSearchGrounding: true,
-    },
+const { text, sources, providerMetadata } = await generateText({
+  model: google('gemini-2.5-flash'),
+  tools: {
+    google_search: google.tools.googleSearch({}),
   },
   prompt:
     'List the top 5 San Francisco news from the past week.' +
@@ -310,7 +370,9 @@ const groundingMetadata = metadata?.groundingMetadata;
 const safetyRatings = metadata?.safetyRatings;
 ```
 
-The grounding metadata includes detailed information about how search results were used to ground the model's response. Here are the available fields:
+When Search Grounding is enabled, the model will include sources in the response.
+
+Additionally, the grounding metadata includes detailed information about how search results were used to ground the model's response. Here are the available fields:
 
 - **`webSearchQueries`** (`string[] | null`)
 
@@ -356,66 +418,117 @@ Example response:
 }
 ```
 
-#### Dynamic Retrieval
+### URL Context
+
+Google provides a provider-defined URL context tool.
 
-With [dynamic retrieval](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-with-google-search#dynamic-retrieval), you can configure how the model decides when to turn on Grounding with Google Search. This gives you more control over when and how the model grounds its responses.
+The URL context tool allows the you to provide specific URLs that you want the model to analyze directly in from the prompt.
 
-```ts highlight="7-10"
+```ts highlight="9,13-17"
 import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
-const { text, providerMetadata } = await generateText({
-  model: google('gemini-1.5-flash'),
-  providerOptions: {
-    google: {
-      useSearchGrounding: true,
-      dynamicRetrievalConfig: {
-        mode: 'MODE_DYNAMIC',
-        dynamicThreshold: 0.8,
-      },
-    },
+const { text, sources, providerMetadata } = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: `Based on the document: https://ai.google.dev/gemini-api/docs/url-context.
+          Answer this question: How many links we can consume in one request?`,
+  tools: {
+    url_context: google.tools.urlContext({}),
   },
-  prompt: 'Who won the latest F1 grand prix?',
 });
+
+const metadata = providerMetadata?.google as
+  | GoogleGenerativeAIProviderMetadata
+  | undefined;
+const groundingMetadata = metadata?.groundingMetadata;
+const urlContextMetadata = metadata?.urlContextMetadata;
 ```
 
-The `dynamicRetrievalConfig` describes the options to customize dynamic retrieval:
+The URL context metadata includes detailed information about how the model used the URL context to generate the response. Here are the available fields:
 
-- `mode`: The mode of the predictor to be used in dynamic retrieval. The following modes are supported:
+- **`urlMetadata`** (`{ retrievedUrl: string; urlRetrievalStatus: string; }[] | null`)
 
-  - `MODE_DYNAMIC`: Run retrieval only when system decides it is necessary
-  - `MODE_UNSPECIFIED`: Always trigger retrieval
+  - Array of URL context metadata
+  - Each object includes:
+    - **`retrievedUrl`**: The URL of the context
+    - **`urlRetrievalStatus`**: The status of the URL retrieval
 
-- `dynamicThreshold`: The threshold to be used in dynamic retrieval (if not set, a system default value is used).
+Example response:
+
+```json
+{
+  "urlMetadata": [
+    {
+      "retrievedUrl": "https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai",
+      "urlRetrievalStatus": "URL_RETRIEVAL_STATUS_SUCCESS"
+    }
+  ]
+}
+```
+
+With the URL context tool, you will also get the `groundingMetadata`.
+
+```json
+"groundingMetadata": {
+    "groundingChunks": [
+        {
+            "web": {
+                "uri": "https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai",
+                "title": "Google Generative AI - AI SDK Providers"
+            }
+        }
+    ],
+    "groundingSupports": [
+        {
+            "segment": {
+                "startIndex": 67,
+                "endIndex": 157,
+                "text": "**Installation**: Install the `@ai-sdk/google` module using your preferred package manager"
+            },
+            "groundingChunkIndices": [
+                0
+            ]
+        },
+    ]
+}
+```
+
+<Note>You can add up to 20 URLs per request.</Note>
 
 <Note>
-  Dynamic retrieval is only available with Gemini 1.5 Flash models and is not
-  supported with 8B variants.
+  The URL context tool is only supported for Gemini 2.0 Flash models and above.
+  Check the [supported models for URL context
+  tool](https://ai.google.dev/gemini-api/docs/url-context#supported-models).
 </Note>
 
-### Sources
+#### Combine URL Context with Search Grounding
 
-When you use [Search Grounding](#search-grounding), the model will include sources in the response.
-You can access them using the `sources` property of the result:
+You can combine the URL context tool with search grounding to provide the model with the latest information from the web.
 
-```ts
+```ts highlight="9-10"
 import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
-const { sources } = await generateText({
-  model: google('gemini-2.0-flash-exp'),
-  providerOptions: {
-    google: {
-      useSearchGrounding: true,
-    },
+const { text, sources, providerMetadata } = await generateText({
+  model: google('gemini-2.5-flash'),
+  prompt: `Based on this context: https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai, tell me how to use Gemini with AI SDK.
+    Also, provide the latest news about AI SDK V5.`,
+  tools: {
+    google_search: google.tools.googleSearch({}),
+    url_context: google.tools.urlContext({}),
   },
-  prompt: 'List the top 5 San Francisco news from the past week.',
 });
+
+const metadata = providerMetadata?.google as
+  | GoogleGenerativeAIProviderMetadata
+  | undefined;
+const groundingMetadata = metadata?.groundingMetadata;
+const urlContextMetadata = metadata?.urlContextMetadata;
 ```
 
 ### Image Outputs
 
-The model `gemini-2.0-flash-exp` supports image generation. Images are exposed as files in the response.
+The model `gemini-2.0-flash-preview-image-generation` supports image generation. Images are exposed as files in the response.
 You need to enable image output in the provider options using the `responseModalities` option.
 
 ```ts
@@ -423,7 +536,7 @@ import { google } from '@ai-sdk/google';
 import { generateText } from 'ai';
 
 const result = await generateText({
-  model: google('gemini-2.0-flash-exp'),
+  model: google('gemini-2.0-flash-preview-image-generation'),
   providerOptions: {
     google: { responseModalities: ['TEXT', 'IMAGE'] },
   },
@@ -494,8 +607,8 @@ By default, structured outputs are enabled (and for tool calling they are requir
 You can disable structured outputs for object generation as a workaround:
 
 ```ts highlight="3,8"
-const result = await generateObject({
-  model: google('gemini-1.5-pro-latest'),
+const { object } = await generateObject({
+  model: google('gemini-2.5-flash'),
   providerOptions: {
     google: {
       structuredOutputs: false,
@@ -526,40 +639,71 @@ The following Zod features are known to not work with Google Generative AI:
 
 ### Model Capabilities
 
-| Model                        | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
-| ---------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `gemini-2.5-pro`             | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-2.5-flash`           | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-2.0-flash`           | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-pro`             | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-pro-latest`      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-flash`           | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-flash-latest`    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-flash-8b`        | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `gemini-1.5-flash-8b-latest` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| Model                                 | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      | Google Search       | URL Context         |
+| ------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `gemini-2.5-pro`                      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-2.5-flash`                    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-2.5-flash-lite`               | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-2.5-flash-lite-preview-06-17` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-2.0-flash`                    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-1.5-pro`                      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `gemini-1.5-pro-latest`               | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `gemini-1.5-flash`                    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `gemini-1.5-flash-latest`             | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `gemini-1.5-flash-8b`                 | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `gemini-1.5-flash-8b-latest`          | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 
 <Note>
   The table above lists popular models. Please see the [Google Generative AI
-  docs](https://ai.google.dev/gemini-api/docs/models/gemini) for a full list of
+  docs](https://ai.google.dev/gemini-api/docs/models/) for a full list of
   available models. The table above lists popular models. You can also pass any
   available provider model ID as a string if needed.
 </Note>
 
+## Gemma Models
+
+You can use [Gemma models](https://deepmind.google/models/gemma/) with the Google Generative AI API.
+
+Gemma models don't natively support the `systemInstruction` parameter, but the provider automatically handles system instructions by prepending them to the first user message. This allows you to use system instructions with Gemma models seamlessly:
+
+```ts
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: google('gemma-3-27b-it'),
+  system: 'You are a helpful assistant that responds concisely.',
+  prompt: 'What is machine learning?',
+});
+```
+
+The system instruction is automatically formatted and included in the conversation, so Gemma models can follow the guidance without any additional configuration.
+
 ## Embedding Models
 
-You can create models that call the [Google Generative AI embeddings API](https://ai.google.dev/api/embeddings)
-using the `.textEmbeddingModel()` factory method.
+You can create models that call the [Google Generative AI embeddings API](https://ai.google.dev/gemini-api/docs/embeddings)
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = google.textEmbeddingModel('text-embedding-004');
+const model = google.textEmbedding('text-embedding-004');
 ```
 
+The Google Generative AI provider sends API calls to the right endpoint based on the type of embedding:
+
+- **Single embeddings**: When embedding a single value with `embed()`, the provider uses the single `:embedContent` endpoint, which typically has higher rate limits compared to the batch endpoint.
+- **Batch embeddings**: When embedding multiple values with `embedMany()` or multiple values in `embed()`, the provider uses the `:batchEmbedContents` endpoint.
+
 Google Generative AI embedding models support aditional settings. You can pass them as an options argument:
 
 ```ts
-const model = google.textEmbeddingModel('text-embedding-004');
+import { google } from '@ai-sdk/google';
+import { embed } from 'ai';
 
-await model.doEmbed({
+const model = google.textEmbedding('text-embedding-004');
+
+const { embedding } = await embed({
+  model,
+  value: 'sunny day at the beach',
   providerOptions: {
     google: {
       outputDimensionality: 512, // optional, number of dimensions for the embedding
@@ -593,3 +737,53 @@ The following optional provider options are available for Google Generative AI e
 | Model                | Default Dimensions | Custom Dimensions   |
 | -------------------- | ------------------ | ------------------- |
 | `text-embedding-004` | 768                | <Check size={18} /> |
+
+## Image Models
+
+You can create [Imagen](https://ai.google.dev/gemini-api/imagen) models that call the Google Generative AI API using the `.image()` factory method.
+For more on image generation with the AI SDK see [generateImage()](/docs/reference/ai-sdk-core/generate-image).
+
+```ts
+import { google } from '@ai-sdk/google';
+import { experimental_generateImage as generateImage } from 'ai';
+
+const { image } = await generateImage({
+  model: google.image('imagen-3.0-generate-002'),
+  prompt: 'A futuristic cityscape at sunset',
+  aspectRatio: '16:9',
+});
+```
+
+Further configuration can be done using Google provider options. You can validate the provider options using the `GoogleGenerativeAIImageProviderOptions` type.
+
+```ts
+import { google } from '@ai-sdk/google';
+import { GoogleGenerativeAIImageProviderOptions } from '@ai-sdk/google';
+import { experimental_generateImage as generateImage } from 'ai';
+
+const { image } = await generateImage({
+  model: google.image('imagen-3.0-generate-002'),
+  providerOptions: {
+    google: {
+      personGeneration: 'dont_allow',
+    } satisfies GoogleGenerativeAIImageProviderOptions,
+  },
+  // ...
+});
+```
+
+The following provider options are available:
+
+- **personGeneration** `allow_adult` | `allow_all` | `dont_allow`
+  Whether to allow person generation. Defaults to `allow_adult`.
+
+<Note>
+  Imagen models do not support the `size` parameter. Use the `aspectRatio`
+  parameter instead.
+</Note>
+
+#### Model Capabilities
+
+| Model                     | Aspect Ratios             |
+| ------------------------- | ------------------------- |
+| `imagen-3.0-generate-002` | 1:1, 3:4, 4:3, 9:16, 16:9 |
diff --git a/content/providers/01-ai-sdk-providers/16-google-vertex.mdx b/content/providers/01-ai-sdk-providers/16-google-vertex.mdx
index d0ec6f6e0fc1..8f2c0398a70a 100644
--- a/content/providers/01-ai-sdk-providers/16-google-vertex.mdx
+++ b/content/providers/01-ai-sdk-providers/16-google-vertex.mdx
@@ -339,7 +339,7 @@ import { generateText, streamText } from 'ai';
 
 // For generateText:
 const { text, reasoning, reasoningDetails } = await generateText({
-  model: vertex('gemini-2.5-flash-preview-04-17'), // Or other supported model via Vertex
+  model: vertex('gemini-2.0-flash-001'), // Or other supported model via Vertex
   providerOptions: {
     google: {
       // Options are nested under 'google' for Vertex provider
@@ -358,7 +358,7 @@ console.log('Final Text:', text);
 
 // For streamText:
 const result = streamText({
-  model: vertex('gemini-2.5-flash-preview-04-17'), // Or other supported model via Vertex
+  model: vertex('gemini-2.0-flash-001'), // Or other supported model via Vertex
   providerOptions: {
     google: {
       // Options are nested under 'google' for Vertex provider
@@ -638,18 +638,23 @@ The following Zod features are known to not work with Google Vertex:
 
 ### Embedding Models
 
-You can create models that call the Google Vertex AI embeddings API using the `.textEmbeddingModel()` factory method:
+You can create models that call the Google Vertex AI embeddings API using the `.textEmbedding()` factory method:
 
 ```ts
-const model = vertex.textEmbeddingModel('text-embedding-004');
+const model = vertex.textEmbedding('text-embedding-004');
 ```
 
 Google Vertex AI embedding models support additional settings. You can pass them as an options argument:
 
 ```ts
-const model = vertex.textEmbeddingModel('text-embedding-004');
+import { vertex } from '@ai-sdk/google-vertex';
+import { embed } from 'ai';
+
+const model = vertex.textEmbedding('text-embedding-004');
 
-await model.doEmbed({
+const { embedding } = await embed({
+  model,
+  value: 'sunny day at the beach',
   providerOptions: {
     google: {
       outputDimensionality: 512, // optional, number of dimensions for the embedding
@@ -696,7 +701,7 @@ Further configuration can be done using Google Vertex provider options. You can
 ```ts
 import { vertex } from '@ai-sdk/google-vertex';
 import { GoogleVertexImageProviderOptions } from '@ai-sdk/google-vertex';
-import { generateImage } from 'ai';
+import { experimental_generateImage as generateImage } from 'ai';
 
 const { image } = await generateImage({
   model: vertex.image('imagen-3.0-generate-002'),
@@ -736,7 +741,7 @@ Additional information about the images can be retrieved using Google Vertex met
 ```ts
 import { vertex } from '@ai-sdk/google-vertex';
 import { GoogleVertexImageProviderOptions } from '@ai-sdk/google-vertex';
-import { generateImage } from 'ai';
+import { experimental_generateImage as generateImage } from 'ai';
 
 const { image, providerMetadata } = await generateImage({
   model: vertex.image('imagen-3.0-generate-002'),
@@ -751,10 +756,14 @@ console.log(
 
 #### Model Capabilities
 
-| Model                          | Aspect Ratios             |
-| ------------------------------ | ------------------------- |
-| `imagen-3.0-generate-002`      | 1:1, 3:4, 4:3, 9:16, 16:9 |
-| `imagen-3.0-fast-generate-001` | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| Model                                     | Aspect Ratios             |
+| ----------------------------------------- | ------------------------- |
+| `imagen-3.0-generate-001`                 | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| `imagen-3.0-generate-002`                 | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| `imagen-3.0-fast-generate-001`            | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| `imagen-4.0-generate-preview-06-06`       | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| `imagen-4.0-fast-generate-preview-06-06`  | 1:1, 3:4, 4:3, 9:16, 16:9 |
+| `imagen-4.0-ultra-generate-preview-06-06` | 1:1, 3:4, 4:3, 9:16, 16:9 |
 
 ## Google Vertex Anthropic Provider Usage
 
@@ -1174,7 +1183,7 @@ const computerTool = vertexAnthropic.tools.computer_20241022({
   },
 
   // map to tool result content for LLM consumption:
-  experimental_toToolResultContent(result) {
+  toModelOutput(result) {
     return typeof result === 'string'
       ? [{ type: 'text', text: result }]
       : [{ type: 'image', data: result.data, mediaType: 'image/png' }];
diff --git a/content/providers/01-ai-sdk-providers/160-revai.mdx b/content/providers/01-ai-sdk-providers/160-revai.mdx
index f14ad4bf14ed..5c84b0419805 100644
--- a/content/providers/01-ai-sdk-providers/160-revai.mdx
+++ b/content/providers/01-ai-sdk-providers/160-revai.mdx
@@ -97,6 +97,7 @@ The following provider options are available:
 
   - **url** _string_ - Callback url to invoke when processing is complete.
   - **auth_headers** _object_ - Optional authorization headers, if needed to invoke the callback.
+    - **Authorization** _string_ - Authorization header value.
 
 - **delete_after_seconds** _integer_
 
@@ -197,6 +198,5 @@ The following provider options are available:
 | Model      | Transcription       | Duration            | Segments            | Language            |
 | ---------- | ------------------- | ------------------- | ------------------- | ------------------- |
 | `machine`  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `human`    | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `low_cost` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `fusion`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
diff --git a/content/providers/01-ai-sdk-providers/20-mistral.mdx b/content/providers/01-ai-sdk-providers/20-mistral.mdx
index 8e711f0f7eca..0eafe29e4cb3 100644
--- a/content/providers/01-ai-sdk-providers/20-mistral.mdx
+++ b/content/providers/01-ai-sdk-providers/20-mistral.mdx
@@ -202,12 +202,17 @@ Mistral language models can also be used in the `streamText`, `generateObject`,
 | ----------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
 | `pixtral-large-latest`  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `mistral-large-latest`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `mistral-medium-latest` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `mistral-medium-2505`   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `mistral-small-latest`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `magistral-small-2506`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `magistral-medium-2506` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `ministral-3b-latest`   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `ministral-8b-latest`   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `pixtral-12b-2409`      | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `open-mistral-7b`       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `open-mixtral-8x7b`     | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `open-mixtral-8x22b`    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 
 <Note>
   The table above lists popular models. Please see the [Mistral
@@ -219,10 +224,22 @@ Mistral language models can also be used in the `streamText`, `generateObject`,
 ## Embedding Models
 
 You can create models that call the [Mistral embeddings API](https://docs.mistral.ai/api/#operation/createEmbedding)
-using the `.embedding()` factory method.
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = mistral.embedding('mistral-embed');
+const model = mistral.textEmbedding('mistral-embed');
+```
+
+You can use Mistral embedding models to generate embeddings with the `embed` function:
+
+```ts
+import { mistral } from '@ai-sdk/mistral';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: mistral.textEmbedding('mistral-embed'),
+  value: 'sunny day at the beach',
+});
 ```
 
 ### Model Capabilities
diff --git a/content/providers/01-ai-sdk-providers/24-togetherai.mdx b/content/providers/01-ai-sdk-providers/24-togetherai.mdx
index 191166acb0c3..b5faba2824e0 100644
--- a/content/providers/01-ai-sdk-providers/24-togetherai.mdx
+++ b/content/providers/01-ai-sdk-providers/24-togetherai.mdx
@@ -108,7 +108,7 @@ const { text } = await generateText({
 Together.ai language models can also be used in the `streamText` function
 (see [AI SDK Core](/docs/ai-sdk-core)).
 
-The Together.ai provider also supports [completion models](https://docs.together.ai/docs/serverless-models#language-models) via (following the above example code) `togetherai.completionModel()` and [embedding models](https://docs.together.ai/docs/serverless-models#embedding-models) via `togetherai.textEmbeddingModel()`.
+The Together.ai provider also supports [completion models](https://docs.together.ai/docs/serverless-models#language-models) via (following the above example code) `togetherai.completion()` and [embedding models](https://docs.together.ai/docs/serverless-models#embedding-models) via `togetherai.textEmbedding()`.
 
 ## Model Capabilities
 
@@ -188,3 +188,36 @@ Together.ai image models support various image dimensions that vary by model. Co
   page](https://docs.together.ai/docs/serverless-models#image-models) for a full
   list of available image models and their capabilities.
 </Note>
+
+## Embedding Models
+
+You can create Together.ai embedding models using the `.textEmbedding()` factory method.
+For more on embedding models with the AI SDK see [embed()](/docs/reference/ai-sdk-core/embed).
+
+```ts
+import { togetherai } from '@ai-sdk/togetherai';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: togetherai.textEmbedding('togethercomputer/m2-bert-80M-2k-retrieval'),
+  value: 'sunny day at the beach',
+});
+```
+
+### Model Capabilities
+
+| Model                                            | Dimensions | Max Tokens |
+| ------------------------------------------------ | ---------- | ---------- |
+| `togethercomputer/m2-bert-80M-2k-retrieval`      | 768        | 2048       |
+| `togethercomputer/m2-bert-80M-8k-retrieval`      | 768        | 8192       |
+| `togethercomputer/m2-bert-80M-32k-retrieval`     | 768        | 32768      |
+| `WhereIsAI/UAE-Large-V1`                         | 1024       | 512        |
+| `BAAI/bge-large-en-v1.5`                         | 1024       | 512        |
+| `BAAI/bge-base-en-v1.5`                          | 768        | 512        |
+| `sentence-transformers/msmarco-bert-base-dot-v5` | 768        | 512        |
+| `bert-base-uncased`                              | 768        | 512        |
+
+<Note>
+  For a complete list of available embedding models, see the [Together.ai models
+  page](https://docs.together.ai/docs/serverless-models#embedding-models).
+</Note>
diff --git a/content/providers/01-ai-sdk-providers/25-cohere.mdx b/content/providers/01-ai-sdk-providers/25-cohere.mdx
index 9bdfcc7a816e..52c1cc688d89 100644
--- a/content/providers/01-ai-sdk-providers/25-cohere.mdx
+++ b/content/providers/01-ai-sdk-providers/25-cohere.mdx
@@ -94,14 +94,19 @@ Cohere language models can also be used in the `streamText`, `generateObject`, a
 
 ### Model Capabilities
 
-| Model               | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
-| ------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `command-a-03-2025` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `command-r-plus`    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `command-r`         | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `command-a-03-2025` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `command`           | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `command-light`     | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| Model                    | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
+| ------------------------ | ------------------- | ------------------- | ------------------- | ------------------- |
+| `command-a-03-2025`      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r7b-12-2024`    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r-plus-04-2024` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r-plus`         | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r-08-2024`      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r-03-2024`      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command-r`              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `command`                | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `command-nightly`        | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `command-light`          | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `command-light-nightly`  | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 
 <Note>
   The table above lists popular models. Please see the [Cohere
@@ -113,28 +118,48 @@ Cohere language models can also be used in the `streamText`, `generateObject`, a
 ## Embedding Models
 
 You can create models that call the [Cohere embed API](https://docs.cohere.com/v2/reference/embed)
-using the `.embedding()` factory method.
+using the `.textEmbedding()` factory method.
 
 ```ts
-const model = cohere.embedding('embed-english-v3.0');
+const model = cohere.textEmbedding('embed-english-v3.0');
 ```
 
-Cohere embedding models support provider options. You can pass them as an options argument:
+You can use Cohere embedding models to generate embeddings with the `embed` function:
 
 ```ts
-const model = cohere.embedding('embed-english-v3.0');
+import { cohere } from '@ai-sdk/cohere';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: cohere.textEmbedding('embed-english-v3.0'),
+  value: 'sunny day at the beach',
+  providerOptions: {
+    cohere: {
+      inputType: 'search_document',
+    },
+  },
+});
+```
+
+Cohere embedding models support additional provider options that can be passed via `providerOptions.cohere`:
+
+```ts
+import { cohere } from '@ai-sdk/cohere';
+import { embed } from 'ai';
 
-await embed({
-  model,
+const { embedding } = await embed({
+  model: cohere.textEmbedding('embed-english-v3.0'),
+  value: 'sunny day at the beach',
   providerOptions: {
     cohere: {
       inputType: 'search_document',
+      truncate: 'END',
     },
   },
 });
 ```
 
-The following optional provider options are available for Cohere embedding models:
+The following provider options are available:
 
 - **inputType** _'search_document' | 'search_query' | 'classification' | 'clustering'_
 
diff --git a/content/providers/01-ai-sdk-providers/26-fireworks.mdx b/content/providers/01-ai-sdk-providers/26-fireworks.mdx
index a9106caa3c2d..e0375f3a8ade 100644
--- a/content/providers/01-ai-sdk-providers/26-fireworks.mdx
+++ b/content/providers/01-ai-sdk-providers/26-fireworks.mdx
@@ -117,17 +117,24 @@ const model = fireworks.completion('accounts/fireworks/models/firefunction-v1');
 
 | Model                                                      | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
 | ---------------------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `accounts/fireworks/models/firefunction-v1`                | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `accounts/fireworks/models/deepseek-r1`                    | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/deepseek-v3`                    | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/llama-v3p1-405b-instruct`       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | `accounts/fireworks/models/llama-v3p1-8b-instruct`         | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/llama-v3p2-3b-instruct`         | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/llama-v3p3-70b-instruct`        | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/mixtral-8x7b-instruct`          | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/mixtral-8x7b-instruct-hf`       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/mixtral-8x22b-instruct`         | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/qwen2p5-coder-32b-instruct`     | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/qwen2p5-72b-instruct`           | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/qwen-qwq-32b-preview`           | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/qwen2-vl-72b-instruct`          | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/llama-v3p2-11b-vision-instruct` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/qwq-32b`                        | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | `accounts/fireworks/models/yi-large`                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
+| `accounts/fireworks/models/kimi-k2-instruct`               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 
 <Note>
   The table above lists popular models. Please see the [Fireworks models
@@ -136,14 +143,35 @@ const model = fireworks.completion('accounts/fireworks/models/firefunction-v1');
 
 ## Embedding Models
 
-You can create models that call the Fireworks embeddings API using the `.textEmbeddingModel()` factory method:
+You can create models that call the Fireworks embeddings API using the `.textEmbedding()` factory method:
 
 ```ts
-const model = fireworks.textEmbeddingModel(
-  'accounts/fireworks/models/nomic-embed-text-v1',
-);
+const model = fireworks.textEmbedding('nomic-ai/nomic-embed-text-v1.5');
 ```
 
+You can use Fireworks embedding models to generate embeddings with the `embed` function:
+
+```ts
+import { fireworks } from '@ai-sdk/fireworks';
+import { embed } from 'ai';
+
+const { embedding } = await embed({
+  model: fireworks.textEmbedding('nomic-ai/nomic-embed-text-v1.5'),
+  value: 'sunny day at the beach',
+});
+```
+
+### Model Capabilities
+
+| Model                            | Dimensions | Max Tokens |
+| -------------------------------- | ---------- | ---------- |
+| `nomic-ai/nomic-embed-text-v1.5` | 768        | 8192       |
+
+<Note>
+  For more embedding models, see the [Fireworks models
+  page](https://fireworks.ai/models) for a full list of available models.
+</Note>
+
 ## Image Models
 
 You can create Fireworks image models using the `.image()` factory method.
diff --git a/content/providers/01-ai-sdk-providers/30-deepseek.mdx b/content/providers/01-ai-sdk-providers/30-deepseek.mdx
index a0be5320604a..67aa93c1c48f 100644
--- a/content/providers/01-ai-sdk-providers/30-deepseek.mdx
+++ b/content/providers/01-ai-sdk-providers/30-deepseek.mdx
@@ -77,24 +77,39 @@ const { text } = await generateText({
 });
 ```
 
+You can also use the `.chat()` or `.languageModel()` factory methods:
+
+```ts
+const model = deepseek.chat('deepseek-chat');
+// or
+const model = deepseek.languageModel('deepseek-chat');
+```
+
 DeepSeek language models can be used in the `streamText` function
 (see [AI SDK Core](/docs/ai-sdk-core)).
 
 ### Reasoning
 
-DeepSeek has reasoning support for the `deepseek-reasoner` model:
+DeepSeek has reasoning support for the `deepseek-reasoner` model. The reasoning is exposed through streaming:
 
 ```ts
 import { deepseek } from '@ai-sdk/deepseek';
-import { generateText } from 'ai';
+import { streamText } from 'ai';
 
-const { text, reasoning } = await generateText({
+const result = streamText({
   model: deepseek('deepseek-reasoner'),
-  prompt: 'How many people will live in the world in 2040?',
+  prompt: 'How many "r"s are in the word "strawberry"?',
 });
 
-console.log(reasoning);
-console.log(text);
+for await (const part of result.fullStream) {
+  if (part.type === 'reasoning') {
+    // This is the reasoning text
+    console.log('Reasoning:', part.text);
+  } else if (part.type === 'text') {
+    // This is the final answer
+    console.log('Answer:', part.text);
+  }
+}
 ```
 
 See [AI SDK UI: Chatbot](/docs/ai-sdk-ui/chatbot#reasoning) for more details
diff --git a/content/providers/01-ai-sdk-providers/40-cerebras.mdx b/content/providers/01-ai-sdk-providers/40-cerebras.mdx
index fe0a38266ba9..04a859a8c7cf 100644
--- a/content/providers/01-ai-sdk-providers/40-cerebras.mdx
+++ b/content/providers/01-ai-sdk-providers/40-cerebras.mdx
@@ -80,17 +80,31 @@ const { text } = await generateText({
 Cerebras language models can be used in the `streamText` function
 (see [AI SDK Core](/docs/ai-sdk-core)).
 
+You can create Cerebras language models using a provider instance. The first argument is the model ID, e.g. `llama-3.3-70b`:
+
+```ts
+const model = cerebras('llama-3.3-70b');
+```
+
+You can also use the `.languageModel()` and `.chat()` methods:
+
+```ts
+const model = cerebras.languageModel('llama-3.3-70b');
+const model = cerebras.chat('llama-3.3-70b');
+```
+
 ## Model Capabilities
 
-| Model          | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
-| -------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `llama3.1-8b`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama3.1-70b` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
-| `llama3.3-70b` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| Model           | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
+| --------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `llama3.1-8b`   | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama3.1-70b`  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `llama-3.3-70b` | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 
 <Note>
   Please see the [Cerebras
   docs](https://inference-docs.cerebras.ai/introduction) for more details about
   the available models. Note that context windows are temporarily limited to
-  8192 tokens in the Free Tier.
+  8192 tokens in the Free Tier. You can also pass any available provider model
+  ID as a string if needed.
 </Note>
diff --git a/content/providers/01-ai-sdk-providers/60-replicate.mdx b/content/providers/01-ai-sdk-providers/60-replicate.mdx
index e6f33f3c81a4..ad1aab35f9e0 100644
--- a/content/providers/01-ai-sdk-providers/60-replicate.mdx
+++ b/content/providers/01-ai-sdk-providers/60-replicate.mdx
@@ -14,13 +14,13 @@ The Replicate provider is available via the `@ai-sdk/replicate` module. You can
 
 <Tabs items={['pnpm', 'npm', 'yarn']}>
   <Tab>
-    <Snippet text="pnpm add ai@beta @ai-sdk/replicate@beta" dark />
+    <Snippet text="pnpm add @ai-sdk/replicate" dark />
   </Tab>
   <Tab>
-    <Snippet text="npm install ai @ai-sdk/replicate" dark />
+    <Snippet text="npm install @ai-sdk/replicate" dark />
   </Tab>
   <Tab>
-    <Snippet text="yarn add ai @ai-sdk/replicate" dark />
+    <Snippet text="yarn add @ai-sdk/replicate" dark />
   </Tab>
 </Tabs>
 
@@ -84,20 +84,37 @@ The following image models are currently supported by the Replicate provider:
 - [black-forest-labs/flux-dev](https://replicate.com/black-forest-labs/flux-dev)
 - [black-forest-labs/flux-pro](https://replicate.com/black-forest-labs/flux-pro)
 - [black-forest-labs/flux-schnell](https://replicate.com/black-forest-labs/flux-schnell)
+- [bytedance/sdxl-lightning-4step](https://replicate.com/bytedance/sdxl-lightning-4step)
+- [fofr/aura-flow](https://replicate.com/fofr/aura-flow)
+- [fofr/latent-consistency-model](https://replicate.com/fofr/latent-consistency-model)
+- [fofr/realvisxl-v3-multi-controlnet-lora](https://replicate.com/fofr/realvisxl-v3-multi-controlnet-lora)
+- [fofr/sdxl-emoji](https://replicate.com/fofr/sdxl-emoji)
+- [fofr/sdxl-multi-controlnet-lora](https://replicate.com/fofr/sdxl-multi-controlnet-lora)
 - [ideogram-ai/ideogram-v2-turbo](https://replicate.com/ideogram-ai/ideogram-v2-turbo)
 - [ideogram-ai/ideogram-v2](https://replicate.com/ideogram-ai/ideogram-v2)
+- [lucataco/dreamshaper-xl-turbo](https://replicate.com/lucataco/dreamshaper-xl-turbo)
+- [lucataco/open-dalle-v1.1](https://replicate.com/lucataco/open-dalle-v1.1)
+- [lucataco/realvisxl-v2.0](https://replicate.com/lucataco/realvisxl-v2.0)
+- [lucataco/realvisxl2-lcm](https://replicate.com/lucataco/realvisxl2-lcm)
 - [luma/photon-flash](https://replicate.com/luma/photon-flash)
 - [luma/photon](https://replicate.com/luma/photon)
+- [nvidia/sana](https://replicate.com/nvidia/sana)
+- [playgroundai/playground-v2.5-1024px-aesthetic](https://replicate.com/playgroundai/playground-v2.5-1024px-aesthetic)
 - [recraft-ai/recraft-v3-svg](https://replicate.com/recraft-ai/recraft-v3-svg)
 - [recraft-ai/recraft-v3](https://replicate.com/recraft-ai/recraft-v3)
 - [stability-ai/stable-diffusion-3.5-large-turbo](https://replicate.com/stability-ai/stable-diffusion-3.5-large-turbo)
 - [stability-ai/stable-diffusion-3.5-large](https://replicate.com/stability-ai/stable-diffusion-3.5-large)
 - [stability-ai/stable-diffusion-3.5-medium](https://replicate.com/stability-ai/stable-diffusion-3.5-medium)
+- [tstramer/material-diffusion](https://replicate.com/tstramer/material-diffusion)
 
 You can also use [versioned models](https://replicate.com/docs/topics/models/versions).
 The id for versioned models is the Replicate model id followed by a colon and the version ID (`$modelId:$versionId`), e.g.
 `bytedance/sdxl-lightning-4step:5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637`.
 
+<Note>
+  You can also pass any available Replicate model ID as a string if needed.
+</Note>
+
 ### Basic Usage
 
 ```ts
diff --git a/content/providers/01-ai-sdk-providers/70-perplexity.mdx b/content/providers/01-ai-sdk-providers/70-perplexity.mdx
index 6b623445451e..589fb5e012d3 100644
--- a/content/providers/01-ai-sdk-providers/70-perplexity.mdx
+++ b/content/providers/01-ai-sdk-providers/70-perplexity.mdx
@@ -138,9 +138,11 @@ You can enable image responses by setting `return_images: true` in the provider
 
 | Model                 | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
 | --------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
-| `sonar-pro`           | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `sonar`               | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
-| `sonar-deep-research` | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonar-deep-research` | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonar-reasoning-pro` | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonar-reasoning`     | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonar-pro`           | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonar`               | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 
 <Note>
   Please see the [Perplexity docs](https://docs.perplexity.ai) for detailed API
diff --git a/content/providers/01-ai-sdk-providers/index.mdx b/content/providers/01-ai-sdk-providers/index.mdx
index fd24b80c755e..a0c9c443efeb 100644
--- a/content/providers/01-ai-sdk-providers/index.mdx
+++ b/content/providers/01-ai-sdk-providers/index.mdx
@@ -19,6 +19,7 @@ Not all providers support all AI SDK features. Here's a quick comparison of the
 
 | Provider                                                                 | Model                                               | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
 | ------------------------------------------------------------------------ | --------------------------------------------------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-4`                                            | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3`                                            | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3-fast`                                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [xAI Grok](/providers/ai-sdk-providers/xai)                              | `grok-3-mini`                                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
@@ -50,6 +51,7 @@ Not all providers support all AI SDK features. Here's a quick comparison of the
 | [Groq](/providers/ai-sdk-providers/groq)                                 | `qwen-qwq-32b`                                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Groq](/providers/ai-sdk-providers/groq)                                 | `mixtral-8x7b-32768`                                | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Groq](/providers/ai-sdk-providers/groq)                                 | `gemma2-9b-it`                                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Groq](/providers/ai-sdk-providers/groq)                                 | `moonshotai/kimi-k2-instruct`                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 | [DeepInfra](/providers/ai-sdk-providers/deepinfra)                       | `meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8` | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | [DeepInfra](/providers/ai-sdk-providers/deepinfra)                       | `meta-llama/Llama-4-Scout-17B-16E-Instruct`         | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | [DeepInfra](/providers/ai-sdk-providers/deepinfra)                       | `meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo`       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
@@ -60,6 +62,8 @@ Not all providers support all AI SDK features. Here's a quick comparison of the
 | [DeepInfra](/providers/ai-sdk-providers/deepinfra)                       | `deepseek-ai/DeepSeek-R1-Turbo`                     | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `pixtral-large-latest`                              | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-large-latest`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-medium-latest`                             | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-medium-2505`                               | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `mistral-small-latest`                              | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Mistral](/providers/ai-sdk-providers/mistral)                           | `pixtral-12b-2409`                                  | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Google Generative AI](/providers/ai-sdk-providers/google-generative-ai) | `gemini-2.0-flash-exp`                              | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
@@ -72,6 +76,7 @@ Not all providers support all AI SDK features. Here's a quick comparison of the
 | [DeepSeek](/providers/ai-sdk-providers/deepseek)                         | `deepseek-reasoner`                                 | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
 | [Cerebras](/providers/ai-sdk-providers/cerebras)                         | `llama3.1-8b`                                       | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
 | [Cerebras](/providers/ai-sdk-providers/cerebras)                         | `llama3.3-70b`                                      | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| [Fireworks](/providers/ai-sdk-providers/fireworks)                       | `kimi-k2-instruct`                                  | <Cross size={18} /> | <Check size={18} /> | <Check size={18} /> | <Cross size={18} /> |
 
 <Note>
   This table is not exhaustive. Additional models can be found in the provider
diff --git a/content/providers/02-openai-compatible-providers/30-lmstudio.mdx b/content/providers/02-openai-compatible-providers/30-lmstudio.mdx
index ec2499a1b9a6..3f7e2fb6bba7 100644
--- a/content/providers/02-openai-compatible-providers/30-lmstudio.mdx
+++ b/content/providers/02-openai-compatible-providers/30-lmstudio.mdx
@@ -81,10 +81,12 @@ LM Studio language models can also be used with `streamText`.
 ## Embedding Models
 
 You can create models that call the [LM Studio embeddings API](https://lmstudio.ai/docs/basics/server#endpoints-overview)
-using the `.embedding()` factory method.
+using the `.textEmbeddingModel()` factory method.
 
 ```ts
-const model = lmstudio.embedding('text-embedding-nomic-embed-text-v1.5');
+const model = lmstudio.textEmbeddingModel(
+  'text-embedding-nomic-embed-text-v1.5',
+);
 ```
 
 ### Example - Embedding a Single Value
@@ -115,7 +117,7 @@ Similar to `embed`, you can use it with embeddings models,
 e.g. `lmstudio.textEmbeddingModel('text-embedding-nomic-embed-text-v1.5')` or `lmstudio.textEmbeddingModel('text-embedding-bge-small-en-v1.5')`.
 
 ```tsx
-import { createOpenAICompatible } from '@ai-sdk/openai';
+import { createOpenAICompatible } from '@ai-sdk/openai-compatible';
 import { embedMany } from 'ai';
 
 const lmstudio = createOpenAICompatible({
diff --git a/content/providers/02-openai-compatible-providers/index.mdx b/content/providers/02-openai-compatible-providers/index.mdx
index 1269421b7abd..1d80252ff9d8 100644
--- a/content/providers/02-openai-compatible-providers/index.mdx
+++ b/content/providers/02-openai-compatible-providers/index.mdx
@@ -44,6 +44,7 @@ const provider = createOpenAICompatible({
   name: 'provider-name',
   apiKey: process.env.PROVIDER_API_KEY,
   baseURL: 'https://api.provider.com/v1',
+  includeUsage: true, // Include usage information in streaming responses
 });
 ```
 
@@ -75,6 +76,10 @@ You can use the following optional settings to customize the provider instance:
   You can use it as a middleware to intercept requests,
   or to provide a custom fetch implementation for e.g. testing.
 
+- **includeUsage** _boolean_
+
+  Include usage information in streaming responses. When enabled, usage data will be included in the response metadata for streaming requests. Defaults to `undefined` (`false`).
+
 ## Language Models
 
 You can create provider models using a provider instance.
diff --git a/content/providers/03-community-providers/01-custom-providers.mdx b/content/providers/03-community-providers/01-custom-providers.mdx
index 88670cb9e53e..ed8288f7dba9 100644
--- a/content/providers/03-community-providers/01-custom-providers.mdx
+++ b/content/providers/03-community-providers/01-custom-providers.mdx
@@ -6,12 +6,15 @@ description: Learn how to write a custom provider for the AI SDK
 # Writing a Custom Provider
 
 <Note type="warning">
-  AI SDK 5 is currently in Alpha. During this phase, we still expect some
-  breaking changes to the specification, specifically regarding tool calling.
+  AI SDK 5 is currently in Beta. The specification may change up until GA.
 </Note>
 
 The AI SDK provides a [Language Model Specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v2) that enables you to create custom providers compatible with the AI SDK. This specification ensures consistency across different providers.
 
+## Publishing Your Provider
+
+Please publish your custom provider in your own GitHub repository and as an NPM package. You are responsible for hosting and maintaining your provider. Once published, you can submit a PR to the AI SDK repository to add your provider to the [Community Providers](/providers/community-providers) documentation section. Use the [OpenRouter provider documentation](https://github.com/vercel/ai/blob/main/content/providers/03-community-providers/13-openrouter.mdx) as a template for your documentation.
+
 ## Why the Language Model Specification?
 
 The Language Model Specification V2 is a standardized specification for interacting with language models that provides a unified abstraction layer across all AI providers. This specification creates a consistent interface that works seamlessly with different language models, ensuring that developers can interact with any provider using the same patterns and methods. It enables:
diff --git a/content/providers/03-community-providers/02-qwen.mdx b/content/providers/03-community-providers/02-qwen.mdx
index 5e9c47e1fd3b..7d1ef5420845 100644
--- a/content/providers/03-community-providers/02-qwen.mdx
+++ b/content/providers/03-community-providers/02-qwen.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the Qwen provider.
 
 # Qwen Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 [younis-ahmed/qwen-ai-provider](https://github.com/younis-ahmed/qwen-ai-provider) is a community provider that uses [Qwen](https://www.alibabacloud.com/en/solutions/generative-ai/qwen) to provide language model support for the AI SDK.
 
 ## Setup
diff --git a/content/providers/03-community-providers/03-ollama.mdx b/content/providers/03-community-providers/03-ollama.mdx
index 85f717c54063..88d6c7c6f72c 100644
--- a/content/providers/03-community-providers/03-ollama.mdx
+++ b/content/providers/03-community-providers/03-ollama.mdx
@@ -5,6 +5,13 @@ description: Learn how to use the Ollama provider.
 
 # Ollama Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. It uses the
+  deprecated `.embedding()` method instead of the standard
+  `.textEmbeddingModel()` method. Please wait for the provider to be updated or
+  consider using an [AI SDK 5 compatible provider](/providers/ai-sdk-providers).
+</Note>
+
 [sgomez/ollama-ai-provider](https://github.com/sgomez/ollama-ai-provider) is a community provider that uses [Ollama](https://ollama.com/) to provide language model support for the AI SDK.
 
 ## Setup
diff --git a/content/providers/03-community-providers/04-chrome-ai.mdx b/content/providers/03-community-providers/04-chrome-ai.mdx
index 96994415325f..835d98500d5e 100644
--- a/content/providers/03-community-providers/04-chrome-ai.mdx
+++ b/content/providers/03-community-providers/04-chrome-ai.mdx
@@ -12,6 +12,12 @@ description: Learn how to use the Chrome AI provider for the AI SDK.
   incompatible changes.
 </Note>
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 ## Setup
 
 The ChromeAI provider is available in the `chrome-ai` module. You can install it with:
diff --git a/content/providers/03-community-providers/100-built-in-ai.mdx b/content/providers/03-community-providers/100-built-in-ai.mdx
new file mode 100644
index 000000000000..70a6966c84f8
--- /dev/null
+++ b/content/providers/03-community-providers/100-built-in-ai.mdx
@@ -0,0 +1,148 @@
+---
+title: Built-in AI
+description: Learn how to use the Built-in AI provider (browser models) for the AI SDK.
+---
+
+# Built-in AI
+
+[jakobhoeg/built-in-ai](https://github.com/jakobhoeg/built-in-ai) is a community provider that serves as the base AI SDK provider for client side in-browser AI models.
+It currently provides a model provider for Chrome & Edge's native browser AI models via the JavaScript [Prompt API](https://github.com/webmachinelearning/prompt-api), as well as a model provider for using open-source in-browser models with [WebLLM](https://github.com/mlc-ai/web-llm).
+
+> We are also working hard to include other browser-based AI frameworks such as [transformers.js](https://huggingface.co/docs/transformers.js/en/index).
+
+<Note type="warning">
+  The `@built-in-ai/core` package is under constant development as the Prompt
+  API matures, and may contain errors and breaking changes. However, this module
+  will also mature with it as new implementations arise.
+</Note>
+
+## Setup
+
+### Installation
+
+The `@built-in-ai/core` package is the AI SDK provider for Chrome and Edge browser's built-in AI models. You can install it with:
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add @built-in-ai/core" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install @built-in-ai/core" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add @built-in-ai/core" dark />
+  </Tab>
+</Tabs>
+
+The `@built-in-ai/web-llm` package is the AI SDK provider for popular open-source models using the WebLLM inference engine. You can install it with:
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add @built-in-ai/web-llm" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install @built-in-ai/web-llm" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add @built-in-ai/web-llm" dark />
+  </Tab>
+</Tabs>
+
+### Browser-specific setup (@built-in-ai/core)
+
+<Note type="warning">
+  The Prompt API (built-in AI) is currently experimental and might change as it
+  matures. The following enablement guide for the API might also change in the
+  future.
+</Note>
+
+1. You need Chrome (v128 or higher) or Edge Dev/Canary (v138.0.3309.2 or higher)
+
+2. Enable these experimental flags:
+   - If you're using Chrome:
+     1. Go to chrome://flags/#prompt-api-for-gemini-nano and set it to Enabled
+     2. Go to chrome://flags/#optimization-guide-on-device-model and set it to Enabled BypassPrefRequirement
+     3. Go to chrome://components and click Check for Update on Optimization Guide On Device Model
+   - If you're using Edge:
+     1. Go to edge://flags/#prompt-api-for-phi-mini and set it to Enabled
+
+For more information, check out [this guide](https://developer.chrome.com/docs/extensions/ai/prompt-api)
+
+## Provider Instances
+
+### `@built-in-ai/core`
+
+You can import the default provider instance `builtInAI` from `@built-in-ai/core`:
+
+```ts
+import { builtInAI } from '@built-in-ai/core';
+
+const model = builtInAI();
+```
+
+You can use the following optional settings to customize the model:
+
+- **temperature** _number_
+
+  Controls randomness in the model's responses. For most models, `0` means almost deterministic results, and higher values mean more randomness.
+
+- **topK** _number_
+
+  Control the diversity and coherence of generated text by limiting the selection of the next token.
+
+### `@built-in-ai/web-llm`
+
+You can import the default provider instance `webLLM` from `@built-in-ai/web-llm`:
+
+```ts
+import { webLLM } from '@built-in-ai/web-llm';
+
+const model = webLLM();
+```
+
+## Language Models
+
+### `@built-in-ai/core`
+
+The provider will automatically work in all browsers that support the Prompt API since the browser handles model orchestration.
+For instance, if your client uses Edge, it will use [Phi4-mini](https://learn.microsoft.com/en-us/microsoft-edge/web-platform/prompt-api#the-phi-4-mini-model), and for Chrome it will use [Gemini Nano](https://developer.chrome.com/docs/ai/prompt-api#model_download).
+
+### `@built-in-ai/web-llm`
+
+The provider allows using a ton of popular open-source models such as Llama3 and Qwen3. To see a complete list, please refer to the official [WebLLM documentation](https://github.com/mlc-ai/web-llm)
+
+### Example usage
+
+#### `@built-in-ai/core`
+
+```ts
+import { streamText } from 'ai';
+import { builtInAI } from '@built-in-ai/core';
+
+const result = streamText({
+  model: builtInAI(), // will default to the specific browser model
+  prompt: 'Hello, how are you',
+});
+
+for await (const chunk of result.textStream) {
+  console.log(chunk);
+}
+```
+
+#### `@built-in-ai/web-llm`
+
+```ts
+import { streamText } from 'ai';
+import { webLLM } from '@built-in-ai/web-llm';
+
+const result = streamText({
+  model: webLLM('Qwen3-0.6B-q0f16-MLC'),
+  prompt: 'Hello, how are you',
+});
+
+for await (const chunk of result.textStream) {
+  console.log(chunk);
+}
+```
+
+For more examples and API reference, check out the [documentation](https://github.com/jakobhoeg/built-in-ai)
diff --git a/content/providers/03-community-providers/100-gemini-cli.mdx b/content/providers/03-community-providers/100-gemini-cli.mdx
new file mode 100644
index 000000000000..b9402cfa1260
--- /dev/null
+++ b/content/providers/03-community-providers/100-gemini-cli.mdx
@@ -0,0 +1,290 @@
+---
+title: Gemini CLI
+description: Learn how to use the Gemini CLI community provider to access Google's Gemini models through the official CLI/SDK.
+---
+
+# Gemini CLI Provider
+
+The [ai-sdk-provider-gemini-cli](https://github.com/ben-vargas/ai-sdk-provider-gemini-cli) community provider enables using Google's Gemini models through the [@google/gemini-cli-core](https://www.npmjs.com/package/@google/gemini-cli-core) library and Google Cloud Code endpoints. While it works with both Gemini Code Assist (GCA) licenses and API key authentication, it's particularly useful for developers who want to use their existing GCA subscription rather than paid use API keys.
+
+## Version Compatibility
+
+The Gemini CLI provider supports both AI SDK v4 and v5-beta:
+
+| Provider Version | AI SDK Version | Status | Branch                                                                                 |
+| ---------------- | -------------- | ------ | -------------------------------------------------------------------------------------- |
+| 0.x              | v4             | Stable | [`ai-sdk-v4`](https://github.com/ben-vargas/ai-sdk-provider-gemini-cli/tree/ai-sdk-v4) |
+| 1.x-beta         | v5-beta        | Beta   | [`main`](https://github.com/ben-vargas/ai-sdk-provider-gemini-cli/tree/main)           |
+
+## Setup
+
+The Gemini CLI provider is available in the `ai-sdk-provider-gemini-cli` module. Install the version that matches your AI SDK version:
+
+### For AI SDK v5-beta (latest)
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add ai-sdk-provider-gemini-cli@beta ai@beta" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install ai-sdk-provider-gemini-cli@beta ai@beta" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add ai-sdk-provider-gemini-cli@beta ai@beta" dark />
+  </Tab>
+</Tabs>
+
+### For AI SDK v4 (stable)
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add ai-sdk-provider-gemini-cli@^0 ai@^4" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install ai-sdk-provider-gemini-cli@^0 ai@^4" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add ai-sdk-provider-gemini-cli@^0 ai@^4" dark />
+  </Tab>
+</Tabs>
+
+## Provider Instance
+
+You can import `createGeminiProvider` from `ai-sdk-provider-gemini-cli` and create a provider instance with your settings:
+
+```ts
+import { createGeminiProvider } from 'ai-sdk-provider-gemini-cli';
+
+// OAuth authentication (recommended)
+const gemini = createGeminiProvider({
+  authType: 'oauth-personal',
+});
+
+// API key authentication
+const gemini = createGeminiProvider({
+  authType: 'api-key',
+  apiKey: process.env.GEMINI_API_KEY,
+});
+```
+
+You can use the following settings to customize the Gemini CLI provider instance:
+
+- **authType** _'oauth-personal' | 'api-key' | 'gemini-api-key'_
+
+  Required. The authentication method to use.
+
+  - `'oauth-personal'`: Uses existing Gemini CLI credentials from `~/.gemini/oauth_creds.json`
+  - `'api-key'`: Standard AI SDK API key authentication (recommended)
+  - `'gemini-api-key'`: Gemini-specific API key authentication (identical to `'api-key'`)
+
+  Note: `'api-key'` and `'gemini-api-key'` are functionally identical. We recommend using `'api-key'` for consistency with AI SDK standards, but both options map to the same Gemini authentication method internally.
+
+- **apiKey** _string_
+
+  Required when using API key authentication. Your Gemini API key from [Google AI Studio](https://aistudio.google.com/apikey).
+
+## Language Models
+
+You can create models that call Gemini through the CLI using the provider instance.
+The first argument is the model ID:
+
+```ts
+const model = gemini('gemini-2.5-pro');
+```
+
+Gemini CLI supports the following models:
+
+- **gemini-2.5-pro**: Most capable model for complex tasks (64K output tokens)
+- **gemini-2.5-flash**: Faster model for simpler tasks (64K output tokens)
+
+### Example: Generate Text
+
+You can use Gemini CLI language models to generate text with the `generateText` function:
+
+```ts
+import { createGeminiProvider } from 'ai-sdk-provider-gemini-cli';
+import { generateText } from 'ai';
+
+const gemini = createGeminiProvider({
+  authType: 'oauth-personal',
+});
+
+// AI SDK v4
+const { text } = await generateText({
+  model: gemini('gemini-2.5-pro'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+
+// AI SDK v5-beta
+const result = await generateText({
+  model: gemini('gemini-2.5-pro'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+console.log(result.content[0].text);
+```
+
+Gemini CLI language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions
+(see [AI SDK Core](/docs/ai-sdk-core) for more information).
+
+<Note>
+  The response format differs between AI SDK v4 and v5-beta. In v4, text is
+  accessed directly via `result.text`. In v5-beta, it's accessed via
+  `result.content[0].text`. Make sure to use the appropriate format for your AI
+  SDK version.
+</Note>
+
+### Model Capabilities
+
+| Model              | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
+| ------------------ | ------------------- | ------------------- | ------------------- | ------------------- |
+| `gemini-2.5-pro`   | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+| `gemini-2.5-flash` | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> | <Check size={18} /> |
+
+<Note>
+  Images must be provided as base64-encoded data. Image URLs are not supported
+  due to the Google Cloud Code endpoint requirements.
+</Note>
+
+## Authentication
+
+The Gemini CLI provider supports two authentication methods:
+
+### OAuth Authentication (Recommended)
+
+First, install and authenticate the Gemini CLI globally:
+
+```bash
+npm install -g @google/gemini-cli
+gemini  # Follow the interactive authentication setup
+```
+
+Then use OAuth authentication in your code:
+
+```ts
+const gemini = createGeminiProvider({
+  authType: 'oauth-personal',
+});
+```
+
+This uses your existing Gemini CLI credentials from `~/.gemini/oauth_creds.json`.
+
+### API Key Authentication
+
+1. Generate an API key from [Google AI Studio](https://aistudio.google.com/apikey).
+
+2. Set it as an environment variable in your terminal:
+
+   ```bash
+   export GEMINI_API_KEY="YOUR_API_KEY"
+   ```
+
+   Replace `YOUR_API_KEY` with your generated key.
+
+3. Use API key authentication in your code:
+
+```ts
+const gemini = createGeminiProvider({
+  authType: 'api-key',
+  apiKey: process.env.GEMINI_API_KEY,
+});
+```
+
+<Note>
+  The Gemini API provides a free tier with 100 requests per day using Gemini 2.5
+  Pro. You can upgrade to a paid plan for higher rate limits on the [API key
+  page](https://aistudio.google.com/apikey).
+</Note>
+
+## Features
+
+### Structured Object Generation
+
+Generate structured data using Zod schemas:
+
+```ts
+import { generateObject } from 'ai';
+import { createGeminiProvider } from 'ai-sdk-provider-gemini-cli';
+import { z } from 'zod';
+
+const gemini = createGeminiProvider({
+  authType: 'oauth-personal',
+});
+
+const result = await generateObject({
+  model: gemini('gemini-2.5-pro'),
+  schema: z.object({
+    name: z.string().describe('Product name'),
+    price: z.number().describe('Price in USD'),
+    features: z.array(z.string()).describe('Key features'),
+  }),
+  prompt: 'Generate a laptop product listing',
+});
+
+console.log(result.object);
+```
+
+### Streaming Responses
+
+Stream text for real-time output:
+
+```ts
+import { streamText } from 'ai';
+import { createGeminiProvider } from 'ai-sdk-provider-gemini-cli';
+
+const gemini = createGeminiProvider({
+  authType: 'oauth-personal',
+});
+
+const result = await streamText({
+  model: gemini('gemini-2.5-pro'),
+  prompt: 'Write a story about a robot learning to paint',
+});
+
+// Both v4 and v5 use the same streaming API
+for await (const chunk of result.textStream) {
+  process.stdout.write(chunk);
+}
+```
+
+For more examples and features, including tool usage and multimodal input, see the [provider documentation](https://github.com/ben-vargas/ai-sdk-provider-gemini-cli).
+
+## Model Parameters
+
+You can configure model behavior with standard AI SDK parameters:
+
+```ts
+// AI SDK v4
+const model = gemini('gemini-2.5-pro', {
+  temperature: 0.7, // Controls randomness (0-2)
+  maxTokens: 1000, // Maximum output tokens (defaults to 65536)
+  topP: 0.95, // Nucleus sampling threshold
+});
+
+// AI SDK v5-beta
+const model = gemini('gemini-2.5-pro', {
+  temperature: 0.7, // Controls randomness (0-2)
+  maxOutputTokens: 1000, // Maximum output tokens (defaults to 65536)
+  topP: 0.95, // Nucleus sampling threshold
+});
+```
+
+<Note>
+  In AI SDK v5-beta, the `maxTokens` parameter has been renamed to
+  `maxOutputTokens`. Make sure to use the correct parameter name for your
+  version.
+</Note>
+
+## Limitations
+
+- Requires Node.js ≥ 18
+- OAuth authentication requires the Gemini CLI to be installed globally
+- Image URLs not supported (use base64-encoded images)
+- Very strict character length constraints in schemas may be challenging
+- Some AI SDK parameters not supported: `frequencyPenalty`, `presencePenalty`, `seed`
+- Only function tools supported (no provider-defined tools)
+
+## Requirements
+
+- Node.js 18 or higher
+- Gemini CLI installed globally for OAuth authentication (`npm install -g @google/gemini-cli`)
+- Valid Google account or Gemini API key
diff --git a/content/providers/03-community-providers/14-azure-ai.mdx b/content/providers/03-community-providers/14-azure-ai.mdx
index d3da25b36b42..53be62a49a03 100644
--- a/content/providers/03-community-providers/14-azure-ai.mdx
+++ b/content/providers/03-community-providers/14-azure-ai.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the @quail-ai/azure-ai-provider for the AI SDK.
 
 # Azure Custom Provider for AI SDK
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The **[Quail-AI/azure-ai-provider](https://github.com/QuailAI/azure-ai-provider)** enables unofficial integration with Azure-hosted language models that use Azure's native APIs instead of the standard OpenAI API format.
 
 ## Language Models
diff --git a/content/providers/03-community-providers/21-crosshatch.mdx b/content/providers/03-community-providers/21-crosshatch.mdx
index 9b65bc4f5151..1127f9cbd0e5 100644
--- a/content/providers/03-community-providers/21-crosshatch.mdx
+++ b/content/providers/03-community-providers/21-crosshatch.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the Crosshatch provider for the AI SDK.
 
 # Crosshatch Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The [Crosshatch](https://crosshatch.io) provider supports secure inference from popular language models with permissioned access to data users share, giving responses personalized with complete user context.
 
 It creates language model objects that can be used with the `generateText`, `streamText`, `generateObject` and `streamObject` functions.
diff --git a/content/providers/03-community-providers/60-mixedbread.mdx b/content/providers/03-community-providers/60-mixedbread.mdx
index 62d17c3f9bd3..b4f34b18dd44 100644
--- a/content/providers/03-community-providers/60-mixedbread.mdx
+++ b/content/providers/03-community-providers/60-mixedbread.mdx
@@ -5,6 +5,13 @@ description: Learn how to use the Mixedbread provider.
 
 # Mixedbread Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. It uses the
+  deprecated `.embedding()` method instead of the standard
+  `.textEmbeddingModel()` method. Please wait for the provider to be updated or
+  consider using an [AI SDK 5 compatible provider](/providers/ai-sdk-providers).
+</Note>
+
 [patelvivekdev/mixedbread-ai-provider](https://github.com/patelvivekdev/mixedbread-ai-provider) is a community provider that uses [Mixedbread](https://www.mixedbread.ai/) to provide Embedding support for the AI SDK.
 
 ## Setup
@@ -60,7 +67,7 @@ using the `.embedding()` factory method.
 ```ts
 import { mixedbread } from 'mixedbread-ai-provider';
 
-const embeddingModel = mixedbread.textEmbeddingModel(
+const embeddingModel = mixedbread.embedding(
   'mixedbread-ai/mxbai-embed-large-v1',
 );
 ```
@@ -85,7 +92,7 @@ The settings object should contain the settings you want to add to the model.
 ```ts
 import { mixedbread } from 'mixedbread-ai-provider';
 
-const embeddingModel = mixedbread.textEmbeddingModel(
+const embeddingModel = mixedbread.embedding(
   'mixedbread-ai/mxbai-embed-large-v1',
   {
     prompt: 'Generate embeddings for text', // Max 256 characters
diff --git a/content/providers/03-community-providers/61-voyage-ai.mdx b/content/providers/03-community-providers/61-voyage-ai.mdx
index 059a04994e2e..4a48d10c3493 100644
--- a/content/providers/03-community-providers/61-voyage-ai.mdx
+++ b/content/providers/03-community-providers/61-voyage-ai.mdx
@@ -5,6 +5,13 @@ description: Learn how to use the Voyage AI provider.
 
 # Voyage AI Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. It uses the
+  deprecated `.embedding()` method instead of the standard
+  `.textEmbeddingModel()` method. Please wait for the provider to be updated or
+  consider using an [AI SDK 5 compatible provider](/providers/ai-sdk-providers).
+</Note>
+
 [patelvivekdev/voyage-ai-provider](https://github.com/patelvivekdev/voyageai-ai-provider) is a community provider that uses [Voyage AI](https://www.voyageai.com) to provide Embedding support for the AI SDK.
 
 ## Setup
@@ -60,7 +67,7 @@ using the `.embedding()` factory method.
 ```ts
 import { voyage } from 'voyage-ai-provider';
 
-const embeddingModel = voyage.textEmbeddingModel('voyage-3');
+const embeddingModel = voyage.embedding('voyage-3');
 ```
 
 You can find more models on the [Voyage Library](https://docs.voyageai.com/docs/embeddings) homepage.
@@ -91,7 +98,7 @@ The settings object should contain the settings you want to add to the model.
 ```ts
 import { voyage } from 'voyage-ai-provider';
 
-const embeddingModel = voyage.textEmbeddingModel('voyage-3', {
+const embeddingModel = voyage.embedding('voyage-3', {
   inputType: 'document', // 'document' or 'query'
   truncation: false,
   outputDimension: 1024, // the new model voyage-code-3, voyage-3-large has 4 different output dimensions: 256, 512, 1024 (default), 2048
diff --git a/content/providers/03-community-providers/70-mem0.mdx b/content/providers/03-community-providers/70-mem0.mdx
index 034768864940..caa993b40268 100644
--- a/content/providers/03-community-providers/70-mem0.mdx
+++ b/content/providers/03-community-providers/70-mem0.mdx
@@ -5,6 +5,12 @@ description: 'Learn how to use the Mem0 AI SDK provider for the AI SDK.'
 
 # Mem0 Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The [Mem0 Provider](https://github.com/mem0ai/mem0/tree/main/vercel-ai-sdk) is a library developed by [**Mem0**](https://mem0.ai)
 to integrate with the AI SDK.
 This library brings enhanced AI interaction capabilities to your applications by introducing persistent memory functionality.
diff --git a/content/providers/03-community-providers/71-letta.mdx b/content/providers/03-community-providers/71-letta.mdx
index de796b8d10af..7d249bc4266a 100644
--- a/content/providers/03-community-providers/71-letta.mdx
+++ b/content/providers/03-community-providers/71-letta.mdx
@@ -5,6 +5,12 @@ description: 'Learn how to use the Letta AI SDK provider for the AI SDK.'
 
 # Letta Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The [Letta AI-SDK provider](https://github.com/letta-ai/vercel-ai-sdk-provider) is the official provider for the [Letta](https://docs.letta.com) platform. It allows you to integrate Letta's AI capabilities into your applications using the Vercel AI SDK.
 
 ## Setup
@@ -25,14 +31,6 @@ The Letta provider is available in the `@letta-ai/vercel-ai-sdk-provider` module
   </Tab>
 </Tabs>
 
-## Setup
-
-The Letta provider is available in the `@letta-ai/vercel-ai-sdk-provider` module. You can install it with
-
-```bash
-npm i @letta-ai/vercel-ai-sdk-provider a
-```
-
 ## Provider Instance
 
 You can import the default provider instance `letta` from `@letta-ai/vercel-ai-sdk-provider`:
@@ -48,8 +46,7 @@ import { letta } from '@letta-ai/vercel-ai-sdk-provider';
 Create a file called `.env.local` and add your [API Key](https://app.letta.com/api-keys)
 
 ```text
-LETTA_API_KEY=<your api key>
-
+LETTA_API_KEY=<your_api_key>
 ```
 
 ```ts
@@ -57,7 +54,7 @@ import { lettaCloud } from '@letta-ai/vercel-ai-sdk-provider';
 import { generateText } from 'ai';
 
 const { text } = await generateText({
-  model: lettaCloud('your-agent-id'),
+  model: lettaCloud('your_agent_id'),
   prompt: 'Write a vegetarian lasagna recipe for 4 people.',
 });
 ```
@@ -69,7 +66,7 @@ import { lettaLocal } from '@letta-ai/vercel-ai-sdk-provider';
 import { generateText } from 'ai';
 
 const { text } = await generateText({
-  model: lettaLocal('your-agent-id'),
+  model: lettaLocal('your_agent_id'),
   prompt: 'Write a vegetarian lasagna recipe for 4 people.',
 });
 ```
@@ -81,12 +78,12 @@ import { createLetta } from '@letta-ai/vercel-ai-sdk-provider';
 import { generateText } from 'ai';
 
 const letta = createLetta({
-  baseUrl: '<your-base-url>',
-  token: '<your-access-token>',
+  baseUrl: '<your_base_url>',
+  token: '<your_access_token>',
 });
 
 const { text } = await generateText({
-  model: letta('your-agent-id'),
+  model: letta('your_agent_id'),
   prompt: 'Write a vegetarian lasagna recipe for 4 people.',
 });
 ```
@@ -96,9 +93,15 @@ const { text } = await generateText({
 The `vercel-ai-sdk-provider` extends the [@letta-ai/letta-client](https://www.npmjs.com/package/@letta-ai/letta-client), you can access the operations directly by using `lettaCloud.client` or `lettaLocal.client` or your custom generated `letta.client`
 
 ```ts
+// with Letta Cloud
 import { lettaCloud } from '@letta-ai/vercel-ai-sdk-provider';
 
-lettaCloud.agents.list();
+lettaCloud.client.agents.list();
+
+// with Letta Local
+import { lettaLocal } from '@letta-ai/vercel-ai-sdk-provider';
+
+lettaLocal.client.agents.list();
 ```
 
 ### More Information
diff --git a/content/providers/03-community-providers/90-llama-cpp.mdx b/content/providers/03-community-providers/90-llama-cpp.mdx
index 41b615e02fce..e46b654f7d1b 100644
--- a/content/providers/03-community-providers/90-llama-cpp.mdx
+++ b/content/providers/03-community-providers/90-llama-cpp.mdx
@@ -9,4 +9,10 @@ description: Learn how to use Llama CPP.
   The LlamaCpp provider is a prototype that is currently unmaintained.
 </Note>
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 [nnance/llamacpp-ai-provider](https://github.com/nnance/llamacpp-ai-provider) is a community provider that uses [Llama.cpp](https://github.com/ggerganov/llama.cpp) to provide language model support for the AI SDK.
diff --git a/content/providers/03-community-providers/91-anthropic-vertex-ai.mdx b/content/providers/03-community-providers/91-anthropic-vertex-ai.mdx
index 62d8aa4494b3..e611d275ddc6 100644
--- a/content/providers/03-community-providers/91-anthropic-vertex-ai.mdx
+++ b/content/providers/03-community-providers/91-anthropic-vertex-ai.mdx
@@ -10,6 +10,12 @@ description: Learn how to use the Anthropic Vertex provider for the AI SDK.
   provider](/providers/ai-sdk-providers/google-vertex).
 </Note>
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 [nalaso/anthropic-vertex-ai](https://github.com/nalaso/anthropic-vertex-ai) is a community provider that uses Anthropic models through Vertex AI to provide language model support for the AI SDK.
 
 ## Setup
diff --git a/content/providers/03-community-providers/92-spark.mdx b/content/providers/03-community-providers/92-spark.mdx
index 928f01d14bc4..fcaa7ee330d0 100644
--- a/content/providers/03-community-providers/92-spark.mdx
+++ b/content/providers/03-community-providers/92-spark.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the Spark provider for the AI SDK.
 
 # Spark Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The **[Spark provider](https://github.com/klren0312/spark-ai-provider)** contains language model support for the Spark API, giving you access to models like lite, generalv3, pro-128k, generalv3.5, max-32k and 4.0Ultra.
 
 ## Setup
diff --git a/content/providers/03-community-providers/93-inflection-ai.mdx b/content/providers/03-community-providers/93-inflection-ai.mdx
index 9a9dddd5497c..bae719102124 100644
--- a/content/providers/03-community-providers/93-inflection-ai.mdx
+++ b/content/providers/03-community-providers/93-inflection-ai.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the unofficial Inflection AI provider for the AI S
 
 # Unofficial Community Provider for AI SDK - Inflection AI
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 The **[unofficial Inflection AI provider](https://www.npmjs.com/package/inflection-ai-sdk-provider)** for the [AI SDK](/docs) contains language model support for the [Inflection AI API](https://developers.inflection.ai/).
 
 ## Setup
diff --git a/content/providers/03-community-providers/94-langdb.mdx b/content/providers/03-community-providers/94-langdb.mdx
index a9c7ccd6bc76..31a46220fcf2 100644
--- a/content/providers/03-community-providers/94-langdb.mdx
+++ b/content/providers/03-community-providers/94-langdb.mdx
@@ -5,6 +5,12 @@ description: Learn how to use LangDB with the AI SDK
 
 # LangDB
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 [LangDB](https://langdb.ai) is a high-performance enterprise AI gateway built in Rust, designed to govern, secure, and optimize AI traffic.
 
 LangDB provides OpenAI-compatible APIs, enabling developers to connect with multiple LLMs by changing just two lines of code. With LangDB, you can:
diff --git a/content/providers/03-community-providers/95-zhipu.mdx b/content/providers/03-community-providers/95-zhipu.mdx
index d9018eb9a57c..d97381a2290d 100644
--- a/content/providers/03-community-providers/95-zhipu.mdx
+++ b/content/providers/03-community-providers/95-zhipu.mdx
@@ -5,6 +5,12 @@ description: Learn how to use the Zhipu provider.
 
 # Zhipu AI Provider
 
+<Note type="warning">
+  This community provider is not yet compatible with AI SDK 5. Please wait for
+  the provider to be updated or consider using an [AI SDK 5 compatible
+  provider](/providers/ai-sdk-providers).
+</Note>
+
 [Zhipu AI Provider](https://github.com/Xiang-CH/zhipu-ai-provider) is a community provider for the [AI SDK](/). It enables seamless integration with **GLM** and Embedding Models provided on [bigmodel.cn](https://bigmodel.cn/) by [ZhipuAI](https://www.zhipuai.cn/).
 
 ## Setup
diff --git a/content/providers/03-community-providers/99-claude-code.mdx b/content/providers/03-community-providers/99-claude-code.mdx
new file mode 100644
index 000000000000..a0dfb39186a2
--- /dev/null
+++ b/content/providers/03-community-providers/99-claude-code.mdx
@@ -0,0 +1,201 @@
+---
+title: Claude Code
+description: Learn how to use the Claude Code community provider to access Claude through your Pro/Max subscription.
+---
+
+# Claude Code Provider
+
+The [ai-sdk-provider-claude-code](https://github.com/ben-vargas/ai-sdk-provider-claude-code) community provider allows you to access Claude models through the official Claude Code SDK/CLI. While it works with both Claude Pro/Max subscriptions and API key authentication, it's particularly useful for developers who want to use their existing Claude subscription without managing API keys.
+
+## Version Compatibility
+
+The Claude Code provider supports both AI SDK v4 and v5-beta:
+
+| Provider Version | AI SDK Version | Status | Branch                                                                                  |
+| ---------------- | -------------- | ------ | --------------------------------------------------------------------------------------- |
+| 0.x              | v4             | Stable | [`ai-sdk-v4`](https://github.com/ben-vargas/ai-sdk-provider-claude-code/tree/ai-sdk-v4) |
+| 1.x-beta         | v5-beta        | Beta   | [`main`](https://github.com/ben-vargas/ai-sdk-provider-claude-code/tree/main)           |
+
+## Setup
+
+The Claude Code provider is available in the `ai-sdk-provider-claude-code` module. Install the version that matches your AI SDK version:
+
+### For AI SDK v5-beta (latest)
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add ai-sdk-provider-claude-code@beta ai@beta" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install ai-sdk-provider-claude-code@beta ai@beta" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add ai-sdk-provider-claude-code@beta ai@beta" dark />
+  </Tab>
+</Tabs>
+
+### For AI SDK v4 (stable)
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add ai-sdk-provider-claude-code@^0 ai@^4" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install ai-sdk-provider-claude-code@^0 ai@^4" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add ai-sdk-provider-claude-code@^0 ai@^4" dark />
+  </Tab>
+</Tabs>
+
+## Provider Instance
+
+You can import the default provider instance `claudeCode` from `ai-sdk-provider-claude-code`:
+
+```ts
+import { claudeCode } from 'ai-sdk-provider-claude-code';
+```
+
+If you need a customized setup, you can import `createClaudeCode` from `ai-sdk-provider-claude-code` and create a provider instance with your settings:
+
+```ts
+import { createClaudeCode } from 'ai-sdk-provider-claude-code';
+
+const claudeCode = createClaudeCode({
+  allowedTools: ['Read', 'Write', 'Edit'],
+  disallowedTools: ['Bash'],
+  // other options
+});
+```
+
+You can use the following optional settings to customize the Claude Code provider instance:
+
+- **anthropicDir** _string_
+
+  Optional. Directory for Claude Code CLI data. Defaults to `~/.claude/claude_code`.
+
+- **allowedTools** _string[]_
+
+  Optional. List of allowed tools. When specified, only these tools will be available.
+
+- **disallowedTools** _string[]_
+
+  Optional. List of disallowed tools. These tools will be blocked even if enabled in settings.
+
+- **mcpServers** _string[]_
+
+  Optional. List of MCP server names to use for this session.
+
+## Language Models
+
+You can create models that call Claude through the Claude Code CLI using the provider instance.
+The first argument is the model ID:
+
+```ts
+const model = claudeCode('opus');
+```
+
+Claude Code supports the following models:
+
+- **opus**: Claude 4 Opus (most capable)
+- **sonnet**: Claude 4 Sonnet (balanced performance)
+
+### Example: Generate Text
+
+You can use Claude Code language models to generate text with the `generateText` function:
+
+```ts
+import { claudeCode } from 'ai-sdk-provider-claude-code';
+import { generateText } from 'ai';
+
+// AI SDK v4
+const { text } = await generateText({
+  model: claudeCode('opus'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+
+// AI SDK v5-beta
+const result = await generateText({
+  model: claudeCode('opus'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+const text = await result.text;
+```
+
+Claude Code language models can also be used in the `streamText`, `generateObject`, and `streamObject` functions
+(see [AI SDK Core](/docs/ai-sdk-core) for more information).
+
+<Note>
+  The response format differs between AI SDK v4 and v5-beta. In v4, text is
+  accessed directly via `result.text`. In v5-beta, it's accessed as a promise
+  via `await result.text`. Make sure to use the appropriate format for your AI
+  SDK version.
+</Note>
+
+### Model Capabilities
+
+| Model    | Image Input         | Object Generation   | Tool Usage          | Tool Streaming      |
+| -------- | ------------------- | ------------------- | ------------------- | ------------------- |
+| `opus`   | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+| `sonnet` | <Cross size={18} /> | <Check size={18} /> | <Cross size={18} /> | <Cross size={18} /> |
+
+<Note>
+  The ❌ for "Tool Usage" and "Tool Streaming" refers specifically to the AI
+  SDK's standardized tool interface, which allows defining custom functions with
+  schemas that models can call. The Claude Code provider uses a different
+  architecture where Claude's built-in tools (Bash, Edit, Read, Write, etc.) and
+  MCP servers are managed directly by the Claude Code CLI. While you cannot
+  define custom tools using the AI SDK's conventions, Claude can still
+  effectively use its comprehensive set of built-in tools to perform tasks like
+  file manipulation, web fetching, and command execution.
+</Note>
+
+## Authentication
+
+The Claude Code provider uses your existing Claude Pro or Max subscription through the Claude Code CLI. You need to authenticate once using:
+
+```bash
+claude login
+```
+
+This will open a browser window for authentication. Once authenticated, the provider will use your subscription automatically.
+
+## Built-in Tools
+
+One of the unique features of the Claude Code provider is access to Claude's built-in tools:
+
+- **Bash**: Execute shell commands
+- **Edit**: Edit files with precise replacements
+- **Read**: Read file contents
+- **Write**: Write new files
+- **LS**: List directory contents
+- **Grep**: Search file contents
+- **WebFetch**: Fetch and analyze web content
+- And more...
+
+You can control which tools are available per session using the `allowedTools` and `disallowedTools` options.
+
+## Extended Thinking
+
+The Claude Code provider supports Claude Opus 4's extended thinking capabilities with proper timeout management. When using extended thinking, make sure to provide an appropriate AbortSignal with a timeout of up to 10 minutes:
+
+```ts
+const controller = new AbortController();
+const timeout = setTimeout(() => controller.abort(), 10 * 60 * 1000); // 10 minutes
+
+try {
+  const { text } = await generateText({
+    model: claudeCode('opus'),
+    prompt: 'Solve this complex problem...',
+    abortSignal: controller.signal,
+  });
+} finally {
+  clearTimeout(timeout);
+}
+```
+
+## Requirements
+
+- Node.js 18 or higher
+- Claude Code CLI installed (`npm install -g @anthropic-ai/claude-code`)
+- Claude Code authenticated with Pro or Max subscription, or API key.
diff --git a/content/providers/03-community-providers/index.mdx b/content/providers/03-community-providers/index.mdx
index 8544bbb63074..781790a79b15 100644
--- a/content/providers/03-community-providers/index.mdx
+++ b/content/providers/03-community-providers/index.mdx
@@ -5,7 +5,7 @@ description: Learn how to use Language Model Specification.
 
 # Community Providers
 
-The AI SDK provides a [Language Model Specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v1).
+The AI SDK provides a [Language Model Specification](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v2).
 You can [write your own provider](./community-providers/custom-providers) that adheres to the specification and it will be compatible with the AI SDK.
 
 Here are the community providers that implement the Language Model Specification:
diff --git a/content/providers/05-observability/index.mdx b/content/providers/05-observability/index.mdx
index 2ad661c4c2c7..0f0f44b50995 100644
--- a/content/providers/05-observability/index.mdx
+++ b/content/providers/05-observability/index.mdx
@@ -16,6 +16,7 @@ Several LLM observability providers offer integrations with the AI SDK telemetry
 - [Laminar](/providers/observability/laminar)
 - [LangWatch](/providers/observability/langwatch)
 - [HoneyHive](https://docs.honeyhive.ai/integrations/vercel)
+- [SigNoz](/providers/observability/signoz)
 
 There are also providers that provide monitoring and tracing for the AI SDK through model wrappers:
 
diff --git a/content/providers/05-observability/langsmith.mdx b/content/providers/05-observability/langsmith.mdx
index 390a6d377f70..3d2463ff9747 100644
--- a/content/providers/05-observability/langsmith.mdx
+++ b/content/providers/05-observability/langsmith.mdx
@@ -8,15 +8,19 @@ description: Monitor and evaluate your AI SDK application with LangSmith
 [LangSmith](https://docs.smith.langchain.com) is a platform for building production-grade LLM applications.
 It allows you to closely monitor and evaluate your application, so you can ship quickly and with confidence.
 
-Use of LangChain's open-source frameworks is not necessary, and LangSmith integrates with the [AI SDK](/docs/introduction) via the `AISDKExporter` OpenTelemetry trace exporter.
+Use of LangChain's open-source frameworks is not necessary.
 
 <Note>
   A version of this guide is also available in the [LangSmith
   documentation](https://docs.smith.langchain.com/observability/how_to_guides/tracing/trace_with_vercel_ai_sdk).
+  If you are using an older version of the `langsmith` client, see the legacy
+  guide linked from that page.
 </Note>
 
 ## Setup
 
+<Note>The steps in this guide assume you are using `langsmith>=0.3.37.`.</Note>
+
 Install an [AI SDK model provider](/providers/ai-sdk-providers) and the [LangSmith client SDK](https://npmjs.com/package/langsmith).
 The code snippets below will use the [AI SDK's OpenAI provider](/providers/ai-sdk-providers/openai), but you can use any [other supported provider](/providers/ai-sdk-providers/) as well.
 
@@ -32,81 +36,89 @@ The code snippets below will use the [AI SDK's OpenAI provider](/providers/ai-sd
   </Tab>
 </Tabs>
 
-<Note>
-  The `AISDKExporter` class is only available in `langsmith` SDK version
-  `>=0.2.1`.
-</Note>
+You will also need to install the following OpenTelemetry packages:
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet
+      text="pnpm add @opentelemetry/sdk-trace-base @opentelemetry/exporter-trace-otlp-proto @opentelemetry/context-async-hooks"
+      dark
+    />
+  </Tab>
+  <Tab>
+    <Snippet
+      text="npm install @opentelemetry/sdk-trace-base @opentelemetry/exporter-trace-otlp-proto @opentelemetry/context-async-hooks"
+      dark
+    />
+  </Tab>
+  <Tab>
+    <Snippet
+      text="yarn add @opentelemetry/sdk-trace-base @opentelemetry/exporter-trace-otlp-proto @opentelemetry/context-async-hooks"
+      dark
+    />
+  </Tab>
+</Tabs>
 
 Next, set required environment variables.
 
 ```bash
 export LANGCHAIN_TRACING_V2=true
 export LANGCHAIN_API_KEY=<your-api-key>
+export OTEL_ENABLED=true
 
 export OPENAI_API_KEY=<your-openai-api-key> # The examples use OpenAI (replace with your selected provider)
 ```
 
-You can also [see this guide](https://docs.smith.langchain.com/observability/how_to_guides/tracing/trace_without_env_vars) for other ways to configure LangSmith,
-or [the section below](#custom-langsmith-client) for how to pass in a custom LangSmith client instance.
-
 ## Trace Logging
 
-### Next.js
-
-First, create an `instrumentation.js` file in your project root.
+To start tracing, you will need to import and call the `initializeOTEL` method at the start of your code:
 
 ```ts
-import { registerOTel } from '@vercel/otel';
-import { AISDKExporter } from 'langsmith/vercel';
+import { initializeOTEL } from 'langsmith/experimental/otel/setup';
 
-export function register() {
-  registerOTel({
-    serviceName: 'langsmith-vercel-ai-sdk-example',
-    traceExporter: new AISDKExporter(),
-  });
-}
+const { DEFAULT_LANGSMITH_SPAN_PROCESSOR } = initializeOTEL();
 ```
 
-You can learn more how to [setup OpenTelemetry instrumentation within your Next.js app here](https://nextjs.org/docs/app/api-reference/file-conventions/instrumentation).
-
-If you are using Next.js version 14, you need to add the following configuration to your `next.config.js`:
+Afterwards, add the `experimental_telemetry` argument to your AI SDK calls that you want to trace.
 
-```js
-module.exports = {
-  experimental: {
-    instrumentationHook: true,
-  },
-};
-```
+<Note>
+  Do not forget to call `await DEFAULT_LANGSMITH_SPAN_PROCESSOR.shutdown()` or
+  `.forceFlush()` before your application shuts down in order to flush any
+  remaining traces to LangSmith.
+</Note>
 
-For more information, see the [Next.js documentation on instrumentationHook](https://nextjs.org/docs/14/pages/api-reference/next-config-js/instrumentationHook).
+```ts highlight="14"
+import { initializeOTEL } from 'langsmith/experimental/otel/setup';
 
-Afterwards, add the `experimental_telemetry` argument to your AI SDK calls that you want to trace. For convenience, we've included the `AISDKExporter.getSettings()` method which appends additional metadata for LangSmith.
+const { DEFAULT_LANGSMITH_SPAN_PROCESSOR } = initializeOTEL();
 
-```ts highlight="8"
-import { AISDKExporter } from 'langsmith/vercel';
-import { streamText } from 'ai';
+import { generateText } from 'ai';
 import { openai } from '@ai-sdk/openai';
 
-await streamText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings(),
-});
+let result;
+
+try {
+  result = await generateText({
+    model: openai('gpt-4.1-nano'),
+    prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+    experimental_telemetry: { isEnabled: true },
+  });
+} finally {
+  await DEFAULT_LANGSMITH_SPAN_PROCESSOR.shutdown();
+}
 ```
 
-You should see a trace in your LangSmith dashboard [like this one](https://smith.langchain.com/public/a9d9521a-4f97-4843-b1e2-b87c3a125503/r).
+You should see a trace in your LangSmith dashboard [like this one](https://smith.langchain.com/public/21d33490-d522-4928-a944-a09e988d539c/r).
 
-You can also trace tool calls:
+You can also trace runs with tool calls:
 
 ```ts
-import { AISDKExporter } from 'langsmith/vercel';
-import { generateText, tool } from 'ai';
+import { generateText, tool, stepCountIs } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 
 await generateText({
-  model: openai('gpt-4o-mini'),
+  model: openai('gpt-4.1-nano'),
   messages: [
     {
       role: 'user',
@@ -127,222 +139,84 @@ await generateText({
         `Here is the tracking information for ${orderId}`,
     }),
   },
-  experimental_telemetry: AISDKExporter.getSettings(),
-  maxSteps: 10,
-});
-```
-
-Which results in a trace like [this one](https://smith.langchain.com/public/4d3add36-756d-4c8c-845d-4ad701a315bb/r).
-
-### Node.js
-
-Add the `AISDKExporter` to the trace exporter to your OpenTelemetry setup.
-
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
-
-import { NodeSDK } from '@opentelemetry/sdk-node';
-import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
-
-const sdk = new NodeSDK({
-  traceExporter: new AISDKExporter(),
-  instrumentations: [getNodeAutoInstrumentations()],
-});
-
-sdk.start();
-```
-
-Afterwards, add the `experimental_telemetry` argument to your AI SDK calls that you want to trace.
-
-<Note>
-  Do not forget to call `await sdk.shutdown()` before your application shuts
-  down in order to flush any remaining traces to LangSmith.
-</Note>
-
-```ts
-import { generateText } from 'ai';
-import { openai } from '@ai-sdk/openai';
-import { AISDKExporter } from 'langsmith/vercel';
-
-const result = await generateText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings(),
-});
-
-await sdk.shutdown();
-```
-
-You should see a trace in your LangSmith dashboard [like this one](https://smith.langchain.com/public/a9d9521a-4f97-4843-b1e2-b87c3a125503/r).
-
-### Sentry
-
-If you're using Sentry, you can attach the LangSmith trace exporter to Sentry's default OpenTelemetry instrumentation as follows:
-
-```ts
-import * as Sentry from '@sentry/node';
-import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';
-import { AISDKExporter } from 'langsmith/vercel';
-
-const client = Sentry.init({
-  dsn: '[Sentry DSN]',
-  tracesSampleRate: 1.0,
-});
-
-client?.traceProvider?.addSpanProcessor(
-  new BatchSpanProcessor(new AISDKExporter()),
-);
-```
-
-## Configuration
-
-### Customize run name
-
-You can customize the run name by passing the `runName` argument to the `AISDKExporter.getSettings()` method.
-
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
-import { openai } from '@ai-sdk/openai';
-import { generateText } from 'ai';
-
-await generateText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings({
-    runName: 'my-custom-run-name',
-  }),
+  experimental_telemetry: {
+    isEnabled: true,
+  },
+  stopWhen: stepCountIs(10),
 });
 ```
 
-### Customize run ID
-
-You can customize the run ID by passing the `runId` argument to the `AISDKExporter.getSettings()` method. This is especially useful if you want to know the run ID before the run has been completed.
+Which results in a trace like [this one](https://smith.langchain.com/public/e6122734-2762-4ae0-986b-0cbe4d68692f/r).
 
-<Note>The run ID has to be a valid UUID.</Note>
-
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
-import { openai } from '@ai-sdk/openai';
-import { generateText } from 'ai';
-import { v4 as uuidv4 } from 'uuid';
+### With `traceable`
 
-await generateText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings({
-    runId: uuidv4(),
-  }),
-});
-```
+You can wrap `traceable` calls around or within AI SDK tool calls. If you do so, we recommend you initialize a LangSmith `client` instance
+that you pass into each `traceable`, then call `client.awaitPendingTraceBatches();` to ensure all traces flush. If you do this, you do not need
+to manually call `shutdown()` or `forceFlush()` on the `DEFAULT_LANGSMITH_SPAN_PROCESSOR`. Here's an example:
 
-### Nesting runs
+```ts highlight="40"
+import { initializeOTEL } from 'langsmith/experimental/otel/setup';
 
-You can also nest runs within other traced functions to create a hierarchy of associated runs.
-Here's an example using the [`traceable`](https://docs.smith.langchain.com/observability/how_to_guides/tracing/annotate_code#use-traceable--traceable) method:
+initializeOTEL();
 
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
+import { Client } from 'langsmith';
+import { traceable } from 'langsmith/traceable';
+import { generateText, tool } from 'ai';
 import { openai } from '@ai-sdk/openai';
-import { generateText } from 'ai';
+import { z } from 'zod';
 
-import { traceable } from 'langsmith/traceable';
+const client = new Client();
 
-const wrappedGenerateText = traceable(
+const wrappedText = traceable(
   async (content: string) => {
     const { text } = await generateText({
-      model: openai('gpt-4o-mini'),
+      model: openai('gpt-4.1-nano'),
       messages: [{ role: 'user', content }],
-      experimental_telemetry: AISDKExporter.getSettings(),
-    });
-
-    const reverseText = traceable(
-      async (text: string) => {
-        return text.split('').reverse().join('');
+      tools: {
+        listOrders: tool({
+          description: 'list all orders',
+          parameters: z.object({ userId: z.string() }),
+          execute: async ({ userId }) => {
+            const getOrderNumber = traceable(
+              async () => {
+                return '1234';
+              },
+              { name: 'getOrderNumber' },
+            );
+            const orderNumber = await getOrderNumber();
+            return `User ${userId} has the following order: ${orderNumber}`;
+          },
+        }),
       },
-      {
-        name: 'reverseText',
+      experimental_telemetry: {
+        isEnabled: true,
       },
-    );
+      maxSteps: 10,
+    });
 
-    const reversedText = await reverseText(text);
-    return { text, reversedText };
+    return { text };
   },
-  { name: 'parentTraceable' },
-);
-
-const result = await wrappedGenerateText(
-  'What color is the sky? Respond with one word.',
+  { name: 'parentTraceable', client },
 );
-```
-
-The resulting trace will look like [this one](https://smith.langchain.com/public/c0466ed5-3932-4140-83b1-cf11e998fa6a/r).
-
-### Custom LangSmith client
 
-You can also pass a LangSmith client instance into the `AISDKExporter` constructor:
+let result;
 
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
-import { Client } from 'langsmith';
-
-import { generateText } from 'ai';
-import { openai } from '@ai-sdk/openai';
-
-import { NodeSDK } from '@opentelemetry/sdk-node';
-import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
-
-const langsmithClient = new Client({});
-
-const sdk = new NodeSDK({
-  traceExporter: new AISDKExporter({ client: langsmithClient }),
-  instrumentations: [getNodeAutoInstrumentations()],
-});
-
-sdk.start();
-
-await generateText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings(),
-});
-```
-
-### Debugging Exporter
-
-You can enable debug logs for the `AISDKExporter` by passing the `debug` argument to the constructor.
-
-```ts
-const traceExporter = new AISDKExporter({ debug: true });
-```
-
-Alternatively, you can set the `OTEL_LOG_LEVEL=DEBUG` environment variable to enable debug logs for the exporter as well as the rest of the OpenTelemetry stack.
-
-### Adding metadata
-
-You can add metadata to your traces to help organize and filter them in the LangSmith UI:
-
-```ts
-import { AISDKExporter } from 'langsmith/vercel';
-import { generateText } from 'ai';
-import { openai } from '@ai-sdk/openai';
-
-await generateText({
-  model: openai('gpt-4o-mini'),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
-  experimental_telemetry: AISDKExporter.getSettings({
-    metadata: { userId: '123', language: 'english' },
-  }),
-});
+try {
+  result = await wrappedText('What are my orders?');
+} finally {
+  await client.awaitPendingTraceBatches();
+}
 ```
 
-Metadata will be visible in your LangSmith dashboard and can be used to filter and search for specific traces.
+The resulting trace will look [like this](https://smith.langchain.com/public/296a0134-f3d4-4e54-afc7-b18f2c190911/r).
 
 ## Further reading
 
+For more examples and instructions for setting up tracing in specific environments, see the links below:
+
 - [LangSmith docs](https://docs.smith.langchain.com)
 - [LangSmith guide on tracing with the AI SDK](https://docs.smith.langchain.com/observability/how_to_guides/tracing/trace_with_vercel_ai_sdk)
-- [LangSmith guide on tracing without environment variables](https://docs.smith.langchain.com/observability/how_to_guides/tracing/trace_without_env_vars)
 
-Once you've set up LangSmith tracing for your project, try gathering a dataset and evaluating it:
+And once you've set up LangSmith tracing for your project, try gathering a dataset and evaluating it:
 
 - [LangSmith evaluation](https://docs.smith.langchain.com/evaluation)
diff --git a/content/providers/05-observability/signoz.mdx b/content/providers/05-observability/signoz.mdx
new file mode 100644
index 000000000000..96e39cc4a316
--- /dev/null
+++ b/content/providers/05-observability/signoz.mdx
@@ -0,0 +1,137 @@
+---
+title: SigNoz
+description: Monitor, obeserve and debug your AI SDK application with SigNoz
+---
+
+# SigNoz Observability
+
+[SigNoz](https://signoz.io/) is a single tool for all your monitoring and observability needs. Here are a few reasons why you should choose SigNoz:
+
+- Single tool for observability(logs, metrics, and traces)
+- Built on top of [OpenTelemetry](https://opentelemetry.io/), the open-source standard which frees you from any type of vendor lock-in
+- Correlated logs, metrics and traces for much richer context while debugging
+- Uses ClickHouse (used by likes of Uber & Cloudflare) as datastore - an extremely fast and highly optimized storage for observability data
+- DIY Query builder, PromQL, and ClickHouse queries to fulfill all your use-cases around querying observability data
+
+# Setup
+
+- Create a [SigNoz Cloud Account](https://signoz.io/teams/)
+- Generate a SigNoz Ingestion Key
+
+## Instrument your Next.js application
+
+Check out detailed instructions on how to set up OpenTelemetry instrumentation in your Nextjs applications and view your application traces in SigNoz over [here](https://signoz.io/docs/instrumentation/opentelemetry-nextjs/).
+
+## Send traces directly to SigNoz Cloud
+
+**Step 1.** Install OpenTelemetry packages
+
+```bash
+npm install @vercel/otel @opentelemetry/api
+```
+
+**Step 2.** Update **`next.config.mjs`** to include instrumentationHook
+
+> This step is only needed when using NextJs 14 and below
+
+```jsx
+/** @type {import('next').NextConfig} */
+const nextConfig = {
+  // include instrumentationHook experimental feature
+  experimental: {
+    instrumentationHook: true,
+  },
+};
+export default nextConfig;
+```
+
+**Step 3.** Create **`instrumentation.ts`** file(in root project directory)
+
+```jsx
+import { registerOTel, OTLPHttpJsonTraceExporter } from '@vercel/otel';
+// Add otel logging
+import { diag, DiagConsoleLogger, DiagLogLevel } from '@opentelemetry/api';
+diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.ERROR); // set diaglog level to DEBUG when debugging
+export function register() {
+  registerOTel({
+    serviceName: '<service_name>',
+    traceExporter: new OTLPHttpJsonTraceExporter({
+      url: 'https://ingest.<region>.signoz.cloud:443/v1/traces',
+      headers: { 'signoz-ingestion-key': '<your-ingestion-key>' },
+    }),
+  });
+}
+```
+
+- **`<service_name>`** is the name of your service
+- Set the **`<region>`** to match your SigNoz Cloud [**region**](https://signoz.io/docs/ingestion/signoz-cloud/overview/#endpoint)
+- Replace **`<your-ingestion-key>`** with your SigNoz [**ingestion key**](https://signoz.io/docs/ingestion/signoz-cloud/keys/)
+
+> The instrumentation file should be in the root of your project and not inside the app or pages directory. If you're using the src folder, then place the file inside src alongside pages and app.
+
+Your Next.js app should be properly instrumented now.
+
+## Enable Telemetry for Vercel AI SDK
+
+The Vercel AI SDK uses [OpenTelemetry](https://signoz.io/blog/what-is-opentelemetry/) to collect telemetry data. OpenTelemetry is an open-source observability framework designed to provide standardized instrumentation for collecting telemetry data.
+
+## Enabling Telemetry
+
+Check out more detailed information about Vercel AI SDK’s telemetry options visit [here](https://ai-sdk.dev/docs/ai-sdk-core/telemetry#telemetry).
+
+You can then use the `experimental_telemetry` option to enable telemetry on specific function calls while the feature is experimental:
+
+```jsx
+const result = await generateText({
+  model: openai('gpt-4-turbo'),
+  prompt: 'Write a short story about a cat.',
+  experimental_telemetry: { isEnabled: true },
+});
+```
+
+When telemetry is enabled, you can also control whether you want to record the input values and the output values for the function. By default, both are enabled. You can disable them by setting the `recordInputs` and `recordOutputs` options to `false`.
+
+```jsx
+experimental_telemetry: { isEnabled: true, recordInputs: false, recordOutputs: false}
+```
+
+Disabling the recording of inputs and outputs can be useful for privacy, data transfer, and performance reasons. You might, for example, want to disable recording inputs if they contain sensitive information.
+
+## Telemetry Metadata
+
+You can provide a `functionId` to identify the function that the telemetry data is for, and `metadata` to include additional information in the telemetry data.
+
+```jsx
+const result = await generateText({
+  model: openai('gpt-4-turbo'),
+  prompt: 'Write a short story about a cat.',
+  experimental_telemetry: {
+    isEnabled: true,
+    functionId: 'my-awesome-function',
+    metadata: {
+      something: 'custom',
+      someOtherThing: 'other-value',
+    },
+  },
+});
+```
+
+## Custom Tracer
+
+You may provide a `tracer` which must return an OpenTelemetry `Tracer`. This is useful in situations where you want your traces to use a `TracerProvider` other than the one provided by the `@opentelemetry/api` singleton.
+
+```jsx
+const tracerProvider = new NodeTracerProvider();
+const result = await generateText({
+  model: openai('gpt-4-turbo'),
+  prompt: 'Write a short story about a cat.',
+  experimental_telemetry: {
+    isEnabled: true,
+    tracer: tracerProvider.getTracer('ai'),
+  },
+});
+```
+
+Your Vercel AI SDK commands should now automatically emit traces, spans, and events. You can find more details on the types of spans and events generated [here](https://ai-sdk.dev/docs/ai-sdk-core/telemetry#collected-data).
+
+Finally, you should be able to view this data in Signoz Cloud under the traces tab.
diff --git a/contributing/codemods.md b/contributing/codemods.md
new file mode 100644
index 000000000000..3695725d9db4
--- /dev/null
+++ b/contributing/codemods.md
@@ -0,0 +1,70 @@
+# Codemods
+
+We strongly recommend to utilize an AI model to create a codemod for your changes, such as [Cursor](https://cursor.com) with `claude-4-sonnet`.
+
+Here is a list of instructions that will help the AI model to come up with a better result
+
+```md
+- Start all input/output fixtures files with `// @ts-nocheck`. Make sure the comment remains in place in the output fixture file.
+- Update `packages/codemod/src/lib/upgrade.ts`
+- Use `import { createTransformer } from './lib/create-transformer';` for codemods. Do not import anything from `jscodeshift` directly.
+- No need to cover imports that use `require()`
+- The codemod should not return anything. It should set `context.hasChanges` to `true` instead.
+- See files in `packages/codemod/src/codemods` for conventions
+- Multiple input/output files can be used in case of import conflicts.
+- Run tests to verify the change
+- Run the codemod manually to verify that it's working
+- If you need to create temporary files for testing, create them in `packages/codemod/`, and remove them when done.
+```
+
+Depending on the complexity of the changes, you can instruct the AI to review changes directly from a pull request, e.g. https://github.com/vercel/ai/pull/5750.diff. If that doesn't yield a useful result, try describing the breaking change such as in the example below
+
+## Example
+
+````md
+# Breaking change
+
+## `streamtext()`: `result.file.{mediaType,data}` properties is now `result.{mediaType,data}`
+
+Before:
+
+```ts
+import { streamText } from 'ai';
+
+const result = await streamText({
+  model: someModel,
+  prompt: 'Generate an image',
+});
+
+for await (const delta of result.fullStream) {
+  switch (delta.type) {
+    case 'file': {
+      console.log('Media type:', delta.file.mediaType);
+      console.log('File data:', delta.file.data);
+      break;
+    }
+  }
+}
+```
+
+After:
+
+```ts
+import { streamText } from 'ai';
+
+const result = await streamText({
+  model: someModel,
+  prompt: 'Generate an image',
+});
+
+for await (const delta of result.fullStream) {
+  switch (delta.type) {
+    case 'file': {
+      console.log('Media type:', delta.mediaType);
+      console.log('File data:', delta.data);
+      break;
+    }
+  }
+}
+```
+````
diff --git a/contributing/zod.md b/contributing/zod.md
new file mode 100644
index 000000000000..efc99ef7ec1c
--- /dev/null
+++ b/contributing/zod.md
@@ -0,0 +1,30 @@
+# Zod and AI SDK
+
+## Background
+
+The AI SDK allows users to use Zod 3, Zod 4, and Zod 4 mini schemas directly.
+
+Incorrect internal implementations can lead to infinite recursion and OOM issues such as [#7351](https://github.com/vercel/ai/issues/7351).
+
+## Rules
+
+For Zod 3 usage (only required in compatibility code, e.g. parsing):
+
+- always use `import * as z3 from "zod/v3";`
+
+For Zod 4 usage:
+
+- always use `import * as z4 from "zod/v4";`
+- always use `z4.core.$ZodType`
+
+## Future Work
+
+- set up linter to ensure imports are correct
+
+## Related issues
+
+- [OOM bug report](https://github.com/vercel/ai/issues/7351)
+
+## References
+
+- [Zod library authors guide](https://zod.dev/library-authors)
diff --git a/examples/ai-core/package.json b/examples/ai-core/package.json
index f34f80f0d974..296c18776cf5 100644
--- a/examples/ai-core/package.json
+++ b/examples/ai-core/package.json
@@ -44,7 +44,7 @@
     "mathjs": "14.0.0",
     "sharp": "^0.33.5",
     "terminal-image": "^2.0.0",
-    "zod": "3.25.49",
+    "zod": "3.25.76",
     "zod-to-json-schema": "3.23.5",
     "valibot": "^1.0.0-rc.0 || ^1.0.0"
   },
diff --git a/examples/ai-core/src/agent/openai-generate.ts b/examples/ai-core/src/agent/openai-generate.ts
new file mode 100644
index 000000000000..f68fbb14533e
--- /dev/null
+++ b/examples/ai-core/src/agent/openai-generate.ts
@@ -0,0 +1,20 @@
+import { openai } from '@ai-sdk/openai';
+import { Experimental_Agent as Agent } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const agent = new Agent({
+    model: openai('gpt-4o'),
+    system: 'You are a helpful assistant.',
+  });
+
+  const { text, usage } = await agent.generate({
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(text);
+  console.log();
+  console.log('Usage:', usage);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/agent/openai-stream-tools.ts b/examples/ai-core/src/agent/openai-stream-tools.ts
new file mode 100644
index 000000000000..ffdfdda67cc4
--- /dev/null
+++ b/examples/ai-core/src/agent/openai-stream-tools.ts
@@ -0,0 +1,38 @@
+import { openai } from '@ai-sdk/openai';
+import { Experimental_Agent as Agent, stepCountIs, tool } from 'ai';
+import 'dotenv/config';
+import { z } from 'zod/v4';
+
+async function main() {
+  const agent = new Agent({
+    model: openai('gpt-3.5-turbo'),
+    system: 'You are a helpful that answers questions about the weather.',
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: ({ location }) => ({
+          location,
+          temperature: 72 + Math.floor(Math.random() * 21) - 10,
+        }),
+      }),
+    },
+    stopWhen: stepCountIs(5),
+  });
+
+  const result = agent.stream({
+    prompt: 'What is the weather in Tokyo?',
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/agent/openai-stream.ts b/examples/ai-core/src/agent/openai-stream.ts
new file mode 100644
index 000000000000..383e6b21e88d
--- /dev/null
+++ b/examples/ai-core/src/agent/openai-stream.ts
@@ -0,0 +1,24 @@
+import { openai } from '@ai-sdk/openai';
+import { Experimental_Agent as Agent } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const agent = new Agent({
+    model: openai('gpt-3.5-turbo'),
+    system: 'You are a helpful assistant.',
+  });
+
+  const result = agent.stream({
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/e2e/google.test.ts b/examples/ai-core/src/e2e/google.test.ts
index e82db2a72254..03c239d3faf3 100644
--- a/examples/ai-core/src/e2e/google.test.ts
+++ b/examples/ai-core/src/e2e/google.test.ts
@@ -1,6 +1,5 @@
 import { GoogleErrorData, google as provider } from '@ai-sdk/google';
-import { LanguageModelV2 } from '@ai-sdk/provider';
-import { APICallError, defaultSettingsMiddleware, wrapLanguageModel } from 'ai';
+import { APICallError, ImageModelV2, LanguageModelV2 } from '@ai-sdk/provider';
 import 'dotenv/config';
 import { expect } from 'vitest';
 import {
@@ -8,14 +7,22 @@ import {
   createEmbeddingModelWithCapabilities,
   createFeatureTestSuite,
   createLanguageModelWithCapabilities,
+  createImageModelWithCapabilities,
   defaultChatModelCapabilities,
 } from './feature-test-suite';
+import { wrapLanguageModel } from 'ai';
+import { defaultSettingsMiddleware } from 'ai';
 
 const createChatModel = (
   modelId: string,
 ): ModelWithCapabilities<LanguageModelV2> =>
   createLanguageModelWithCapabilities(provider.chat(modelId));
 
+const createImageModel = (
+  modelId: string,
+): ModelWithCapabilities<ImageModelV2> =>
+  createImageModelWithCapabilities(provider.image(modelId));
+
 const createSearchGroundedModel = (
   modelId: string,
 ): ModelWithCapabilities<LanguageModelV2> => {
@@ -51,6 +58,7 @@ createFeatureTestSuite({
         provider.textEmbeddingModel('text-embedding-004'),
       ),
     ],
+    imageModels: [createImageModel('imagen-3.0-generate-002')],
   },
   timeout: 20000,
   customAssertions: {
diff --git a/examples/ai-core/src/e2e/xai.test.ts b/examples/ai-core/src/e2e/xai.test.ts
index 943ee4a64422..d84090647a8c 100644
--- a/examples/ai-core/src/e2e/xai.test.ts
+++ b/examples/ai-core/src/e2e/xai.test.ts
@@ -20,6 +20,7 @@ createFeatureTestSuite({
   models: {
     invalidModel: provider.chat('no-such-model'),
     languageModels: [
+      createChatModel('grok-4'),
       createChatModel('grok-3-beta'),
       createChatModel('grok-3-fast-beta'),
       createChatModel('grok-3-mini-beta'),
diff --git a/examples/ai-core/src/embed-many/gateway.ts b/examples/ai-core/src/embed-many/gateway.ts
new file mode 100644
index 000000000000..964c3ebbf22a
--- /dev/null
+++ b/examples/ai-core/src/embed-many/gateway.ts
@@ -0,0 +1,19 @@
+import { gateway } from '@ai-sdk/gateway';
+import { embedMany } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const { embeddings, usage } = await embedMany({
+    model: gateway.textEmbeddingModel('openai/text-embedding-3-small'),
+    values: [
+      'sunny day at the beach',
+      'rainy afternoon in the city',
+      'snowy night in the mountains',
+    ],
+  });
+
+  console.log(embeddings);
+  console.log(usage);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/embed/gateway.ts b/examples/ai-core/src/embed/gateway.ts
new file mode 100644
index 000000000000..e873f1bc8052
--- /dev/null
+++ b/examples/ai-core/src/embed/gateway.ts
@@ -0,0 +1,15 @@
+import { gateway } from '@ai-sdk/gateway';
+import { embed } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const { embedding, usage } = await embed({
+    model: gateway.textEmbeddingModel('openai/text-embedding-3-small'),
+    value: 'sunny day at the beach',
+  });
+
+  console.log(embedding);
+  console.log(usage);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-image/google.ts b/examples/ai-core/src/generate-image/google.ts
new file mode 100644
index 000000000000..68472e092115
--- /dev/null
+++ b/examples/ai-core/src/generate-image/google.ts
@@ -0,0 +1,21 @@
+import { google, GoogleGenerativeAIImageProviderOptions } from '@ai-sdk/google';
+import { experimental_generateImage as generateImage } from 'ai';
+import { presentImages } from '../lib/present-image';
+import 'dotenv/config';
+
+async function main() {
+  const { image } = await generateImage({
+    model: google.image('imagen-3.0-generate-002'),
+    prompt: 'A burrito launched through a tunnel',
+    aspectRatio: '1:1',
+    providerOptions: {
+      google: {
+        personGeneration: 'dont_allow',
+      } satisfies GoogleGenerativeAIImageProviderOptions,
+    },
+  });
+
+  await presentImages([image]);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-object/google-caching.ts b/examples/ai-core/src/generate-object/google-caching.ts
new file mode 100644
index 000000000000..ce464b68509d
--- /dev/null
+++ b/examples/ai-core/src/generate-object/google-caching.ts
@@ -0,0 +1,59 @@
+import 'dotenv/config';
+import { google } from '@ai-sdk/google';
+import { generateObject } from 'ai';
+import fs from 'node:fs';
+import { z } from 'zod';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+async function main() {
+  const result1 = await generateObject({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+    schema: z.object({
+      error: z.string(),
+      stack: z.string(),
+    }),
+  });
+
+  console.log(result1.object);
+  console.log(result1.providerMetadata?.google);
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     thoughtsTokenCount: 1124,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 916,
+  //     totalTokenCount: 4192
+  //   }
+  // }
+
+  const result2 = await generateObject({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+    schema: z.object({
+      error: z.string(),
+      stack: z.string(),
+    }),
+  });
+
+  console.log(result2.object);
+  console.log(result2.providerMetadata?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     cachedContentTokenCount: 1880,
+  //     thoughtsTokenCount: 2024,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 1072,
+  //     totalTokenCount: 5248
+  //   }
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-object/groq-kimi-k2-structured-outputs.ts b/examples/ai-core/src/generate-object/groq-kimi-k2-structured-outputs.ts
new file mode 100644
index 000000000000..981c0270f72e
--- /dev/null
+++ b/examples/ai-core/src/generate-object/groq-kimi-k2-structured-outputs.ts
@@ -0,0 +1,22 @@
+import { groq } from '@ai-sdk/groq';
+import { generateObject } from 'ai';
+import { z } from 'zod';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateObject({
+    model: groq('moonshotai/kimi-k2-instruct'),
+    schema: z.object({
+      recipe: z.object({
+        name: z.string(),
+        ingredients: z.array(z.string()),
+        instructions: z.array(z.string()),
+      }),
+    }),
+    prompt: 'Generate a simple pasta recipe.',
+  });
+
+  console.log(JSON.stringify(result.object, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-object/vercel.ts b/examples/ai-core/src/generate-object/vercel.ts
index 29ddd592b145..d34ac3d254ad 100644
--- a/examples/ai-core/src/generate-object/vercel.ts
+++ b/examples/ai-core/src/generate-object/vercel.ts
@@ -5,23 +5,28 @@ import { z } from 'zod/v4';
 
 async function main() {
   const result = await generateObject({
-    model: vercel('v0-1.0-md'),
+    model: vercel('v0-1.5-md'),
     schema: z.object({
-      recipe: z.object({
-        name: z.string(),
-        ingredients: z.array(
-          z.object({
-            name: z.string(),
-            amount: z.string(),
-          }),
-        ),
-        steps: z.array(z.string()),
+      button: z.object({
+        element: z.string(),
+        baseStyles: z.object({
+          padding: z.string(),
+          borderRadius: z.string(),
+          border: z.string(),
+          backgroundColor: z.string(),
+          color: z.string(),
+          cursor: z.string(),
+        }),
+        hoverStyles: z.object({
+          backgroundColor: z.string(),
+          transform: z.string().optional(),
+        }),
       }),
     }),
-    prompt: 'Generate a lasagna recipe.',
+    prompt: 'Generate CSS styles for a modern primary button component.',
   });
 
-  console.log(JSON.stringify(result.object.recipe, null, 2));
+  console.log(JSON.stringify(result.object.button, null, 2));
   console.log();
   console.log('Token usage:', result.usage);
   console.log('Finish reason:', result.finishReason);
diff --git a/examples/ai-core/src/generate-text/amazon-bedrock-api-key.ts b/examples/ai-core/src/generate-text/amazon-bedrock-api-key.ts
new file mode 100644
index 000000000000..ee6bb5b0321d
--- /dev/null
+++ b/examples/ai-core/src/generate-text/amazon-bedrock-api-key.ts
@@ -0,0 +1,110 @@
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  console.log('=== Amazon Bedrock API Key Authentication Example ===\n');
+
+  // Example 1: Using API key via environment variable (AWS_BEARER_TOKEN_BEDROCK)
+  // This is the recommended approach for production applications
+  console.log(
+    'Example 1: Using API key from environment variable (AWS_BEARER_TOKEN_BEDROCK)',
+  );
+  try {
+    const result1 = await generateText({
+      model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
+      prompt: 'Write a haiku about API keys.',
+      // Note: API key is automatically loaded from AWS_BEARER_TOKEN_BEDROCK environment variable
+    });
+
+    console.log('Generated haiku:', result1.text);
+    console.log('Token usage:', result1.usage);
+    console.log('Finish reason:', result1.finishReason);
+  } catch (error) {
+    console.log(
+      'Error (expected if AWS_BEARER_TOKEN_BEDROCK not set):',
+      (error as Error).message,
+    );
+  }
+
+  console.log('\n' + '='.repeat(60) + '\n');
+
+  // Example 2: Using API key directly in provider configuration
+  // This demonstrates how to pass the API key directly (not recommended for production)
+  console.log('Example 2: Using API key directly in provider configuration');
+
+  // For demonstration purposes - in real applications, load from secure environment
+  const exampleApiKey =
+    process.env.AWS_BEARER_TOKEN_BEDROCK || 'your-api-key-here';
+
+  try {
+    // Create provider with explicit API key
+    const { createAmazonBedrock } = await import('@ai-sdk/amazon-bedrock');
+    const bedrockWithApiKey = createAmazonBedrock({
+      apiKey: exampleApiKey,
+      region: 'us-east-1', // Optional: specify region
+    });
+
+    const result2 = await generateText({
+      model: bedrockWithApiKey('anthropic.claude-3-haiku-20240307-v1:0'),
+      prompt: 'Explain the benefits of API key authentication over AWS SigV4.',
+    });
+
+    console.log('Generated explanation:', result2.text);
+    console.log('Token usage:', result2.usage);
+  } catch (error) {
+    console.log(
+      'Error (expected if API key not valid):',
+      (error as Error).message,
+    );
+  }
+
+  console.log('\n' + '='.repeat(60) + '\n');
+
+  // Example 3: Comparison with SigV4 authentication
+  console.log('Example 3: Comparison - API Key vs SigV4 Authentication');
+
+  console.log(`
+API Key Authentication (Simpler):
+- Set AWS_BEARER_TOKEN_BEDROCK environment variable
+- No need for AWS credentials (access key, secret key, session token)
+- Simpler configuration and setup
+- Bearer token authentication in HTTP headers
+
+SigV4 Authentication (Traditional AWS):
+- Requires AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY
+- Optional AWS_SESSION_TOKEN for temporary credentials
+- More complex request signing process
+- Full AWS IAM integration and policies
+
+API Key authentication is ideal for:
+- Simplified deployment scenarios
+- Applications that don't need full AWS IAM integration
+- Easier credential management
+- Reduced complexity in authentication flow
+  `);
+
+  // Example 4: Error handling and fallback
+  console.log('Example 4: Demonstrating fallback behavior');
+
+  try {
+    // This will use API key if AWS_BEARER_TOKEN_BEDROCK is set,
+    // otherwise fall back to SigV4 authentication
+    const result4 = await generateText({
+      model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
+      prompt: 'Write a short poem about authentication methods.',
+    });
+
+    console.log('Generated poem:', result4.text);
+    console.log(
+      'Authentication method used: API Key or SigV4 (automatic fallback)',
+    );
+  } catch (error) {
+    console.log('Error:', (error as Error).message);
+    console.log(
+      'Make sure either AWS_BEARER_TOKEN_BEDROCK or AWS credentials are configured',
+    );
+  }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h-streaming.ts b/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h-streaming.ts
new file mode 100644
index 000000000000..e53e9db8fbc0
--- /dev/null
+++ b/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h-streaming.ts
@@ -0,0 +1,112 @@
+import { anthropic } from '@ai-sdk/anthropic';
+import { streamText } from 'ai';
+import 'dotenv/config';
+import fs from 'node:fs';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+const cachedMessage = `The time is ${new Date().toISOString()}. Error message: ${errorMessage}`;
+
+async function main() {
+  const result = await streamText({
+    model: anthropic('claude-3-5-haiku-latest'),
+    headers: {
+      'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+    },
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'You are a JavaScript expert.',
+          },
+          {
+            type: 'text',
+            text: cachedMessage,
+            providerOptions: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral', ttl: '1h' },
+              },
+            },
+          },
+          {
+            type: 'text',
+            text: 'Explain the error message.',
+          },
+        ],
+      },
+    ],
+  });
+
+  await result.consumeStream();
+
+  const providerMetadata = await result.providerMetadata;
+
+  console.log(
+    'Streaming usage information:',
+    providerMetadata?.anthropic?.usage,
+  );
+
+  // e.g.
+  // Streaming usage information: {
+  //   input_tokens: 10,
+  //   cache_creation_input_tokens: 2177,
+  //   cache_read_input_tokens: 0,
+  //   cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 2177 },
+  //   output_tokens: 1,
+  //   service_tier: 'standard'
+  // }
+
+  const cachedResult = await streamText({
+    model: anthropic('claude-3-5-haiku-latest'),
+    headers: {
+      'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+    },
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'You are a JavaScript expert.',
+          },
+          {
+            type: 'text',
+            text: cachedMessage,
+            providerOptions: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral', ttl: '1h' },
+              },
+            },
+          },
+          {
+            type: 'text',
+            text: 'What is this?.',
+          },
+        ],
+      },
+    ],
+  });
+
+  await cachedResult.consumeStream();
+
+  const cachedProviderMetadata = await cachedResult.providerMetadata;
+
+  console.log(
+    'Streaming usage information:',
+    cachedProviderMetadata?.anthropic?.usage,
+  );
+
+  // e.g.
+  // Streaming usage information: {
+  //   input_tokens: 8,
+  //   cache_creation_input_tokens: 0,
+  //   cache_read_input_tokens: 2177,
+  //   cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 0 },
+  //   output_tokens: 1,
+  //   service_tier: 'standard'
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h.ts b/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h.ts
new file mode 100644
index 000000000000..f166f116912b
--- /dev/null
+++ b/examples/ai-core/src/generate-text/anthropic-cache-control-beta-1h.ts
@@ -0,0 +1,101 @@
+import { anthropic } from '@ai-sdk/anthropic';
+import { generateText } from 'ai';
+import 'dotenv/config';
+import fs from 'node:fs';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+const cachedMessage = `The time is ${new Date().toISOString()}. Error message: ${errorMessage}`;
+
+async function main() {
+  const result = await generateText({
+    model: anthropic('claude-3-5-haiku-latest'),
+    headers: {
+      'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+    },
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'You are a JavaScript expert.',
+          },
+          {
+            type: 'text',
+            text: cachedMessage,
+            providerOptions: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral', ttl: '1h' },
+              },
+            },
+          },
+          {
+            type: 'text',
+            text: 'Explain the error message.',
+          },
+        ],
+      },
+    ],
+  });
+
+  console.log('Usage information:', result.providerMetadata?.anthropic?.usage);
+
+  // e.g.
+  // Usage information: {
+  //   input_tokens: 10,
+  //   cache_creation_input_tokens: 2177,
+  //   cache_read_input_tokens: 0,
+  //   cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 2177 },
+  //   output_tokens: 285,
+  //   service_tier: 'standard'
+  // }
+
+  const cachedResult = await generateText({
+    model: anthropic('claude-3-5-haiku-latest'),
+    headers: {
+      'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+    },
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'You are a JavaScript expert.',
+          },
+          {
+            type: 'text',
+            text: cachedMessage,
+            providerOptions: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral', ttl: '1h' },
+              },
+            },
+          },
+          {
+            type: 'text',
+            text: 'What is this?.',
+          },
+        ],
+      },
+    ],
+  });
+
+  console.log(
+    'Usage information:',
+    cachedResult.providerMetadata?.anthropic?.usage,
+  );
+
+  // e.g.
+  // Usage information: {
+  //   input_tokens: 8,
+  //   cache_creation_input_tokens: 0,
+  //   cache_read_input_tokens: 2177,
+  //   cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 0 },
+  //   output_tokens: 317,
+  //   service_tier: 'standard'
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/anthropic-tool-call-cache.ts b/examples/ai-core/src/generate-text/anthropic-tool-call-cache.ts
new file mode 100644
index 000000000000..ea7cb9884401
--- /dev/null
+++ b/examples/ai-core/src/generate-text/anthropic-tool-call-cache.ts
@@ -0,0 +1,25 @@
+import { anthropic } from '@ai-sdk/anthropic';
+import { generateText, tool } from 'ai';
+import 'dotenv/config';
+import { z } from 'zod/v4';
+
+async function main() {
+  const result = await generateText({
+    model: anthropic('claude-3-5-haiku-latest'),
+    tools: {
+      cityAttractions: tool({
+        inputSchema: z.object({ city: z.string() }),
+        providerOptions: {
+          anthropic: {
+            cacheControl: { type: 'ephemeral' },
+          },
+        },
+      }),
+    },
+    prompt: 'What attractions should I visit in San Francisco?',
+  });
+
+  console.log(JSON.stringify(result.request.body, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/google-caching.ts b/examples/ai-core/src/generate-text/google-caching.ts
new file mode 100644
index 000000000000..2d8eaee4325b
--- /dev/null
+++ b/examples/ai-core/src/generate-text/google-caching.ts
@@ -0,0 +1,50 @@
+import 'dotenv/config';
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+import fs from 'node:fs';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+async function main() {
+  const result1 = await generateText({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+  });
+
+  console.log(result1.text);
+  console.log(result1.providerMetadata?.google);
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     thoughtsTokenCount: 634,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 694,
+  //     totalTokenCount: 3480
+  //   }
+  // }
+
+  const result2 = await generateText({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+  });
+
+  console.log(result2.text);
+  console.log(result2.providerMetadata?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     cachedContentTokenCount: 2027,
+  //     thoughtsTokenCount: 702,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 710,
+  //     totalTokenCount: 3564
+  //   }
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/google-sources.ts b/examples/ai-core/src/generate-text/google-sources.ts
index 4b6f116ac469..f85271f68ba1 100644
--- a/examples/ai-core/src/generate-text/google-sources.ts
+++ b/examples/ai-core/src/generate-text/google-sources.ts
@@ -1,25 +1,30 @@
-import { google } from '@ai-sdk/google';
+import { google, GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google';
 import { generateText } from 'ai';
 import 'dotenv/config';
 
 async function main() {
-  const result = await generateText({
-    model: google('gemini-2.0-flash-exp'),
-    providerOptions: {
-      google: {
-        useSearchGrounding: true,
-      },
+  const { text, sources, providerMetadata } = await generateText({
+    model: google('gemini-2.5-flash'),
+    tools: {
+      google_search: google.tools.googleSearch({}),
     },
-    prompt: 'List the top 5 San Francisco news from the past week.',
+    prompt:
+      'List the top 5 San Francisco news from the past week.' +
+      'You must include the date of each article.',
   });
 
-  console.log(result.text);
+  const metadata = providerMetadata?.google as
+    | GoogleGenerativeAIProviderMetadata
+    | undefined;
+  const groundingMetadata = metadata?.groundingMetadata;
+
+  console.log(text);
   console.log();
   console.log('SOURCES');
-  console.log(result.sources);
+  console.log(sources);
   console.log();
   console.log('PROVIDER METADATA');
-  console.log(result.providerMetadata?.google);
+  console.log(groundingMetadata);
 }
 
 main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/google-url-context-wtih-google-search.ts b/examples/ai-core/src/generate-text/google-url-context-wtih-google-search.ts
new file mode 100644
index 000000000000..d47b1de06aea
--- /dev/null
+++ b/examples/ai-core/src/generate-text/google-url-context-wtih-google-search.ts
@@ -0,0 +1,35 @@
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: google('gemini-2.5-flash'),
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: `Based on this context: https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai, tell me how to use Gemini with AI SDK.
+            Also, provide the latest news about AI SDK V5.`,
+          },
+        ],
+      },
+    ],
+    tools: {
+      url_context: google.tools.urlContext({}),
+      google_search: google.tools.googleSearch({}),
+    },
+  });
+
+  console.log(result.text);
+  console.log();
+  console.log('SOURCES');
+  console.log(result.sources);
+  console.log();
+  console.log('PROVIDER METADATA');
+  console.log(result.providerMetadata?.google);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/google-url-context.ts b/examples/ai-core/src/generate-text/google-url-context.ts
new file mode 100644
index 000000000000..e35f25cb1f05
--- /dev/null
+++ b/examples/ai-core/src/generate-text/google-url-context.ts
@@ -0,0 +1,33 @@
+import { google } from '@ai-sdk/google';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: google('gemini-2.5-flash'),
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: `Based on this context: https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai, tell me how to use Gemini with AI SDK`,
+          },
+        ],
+      },
+    ],
+    tools: {
+      url_context: google.tools.urlContext({}),
+    },
+  });
+
+  console.log(result.text);
+  console.log();
+  console.log('SOURCES');
+  console.log(result.sources);
+  console.log();
+  console.log('PROVIDER METADATA');
+  console.log(result.providerMetadata?.google);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/groq-kimi-k2.ts b/examples/ai-core/src/generate-text/groq-kimi-k2.ts
new file mode 100644
index 000000000000..c7e300dfe643
--- /dev/null
+++ b/examples/ai-core/src/generate-text/groq-kimi-k2.ts
@@ -0,0 +1,17 @@
+import { groq } from '@ai-sdk/groq';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: groq('moonshotai/kimi-k2-instruct'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(result.text);
+  console.log();
+  console.log('Token usage:', result.usage);
+  console.log('Finish reason:', result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/mistral-medium.ts b/examples/ai-core/src/generate-text/mistral-medium.ts
new file mode 100644
index 000000000000..d9cd15dcefb2
--- /dev/null
+++ b/examples/ai-core/src/generate-text/mistral-medium.ts
@@ -0,0 +1,17 @@
+import { mistral } from '@ai-sdk/mistral';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: mistral('mistral-medium-latest'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(result.text);
+  console.log();
+  console.log('Token usage:', result.usage);
+  console.log('Finish reason:', result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/openai-provider-defined-tools.ts b/examples/ai-core/src/generate-text/openai-provider-defined-tools.ts
index 5fdc8c5b075d..61ff1e02c38f 100644
--- a/examples/ai-core/src/generate-text/openai-provider-defined-tools.ts
+++ b/examples/ai-core/src/generate-text/openai-provider-defined-tools.ts
@@ -18,8 +18,10 @@ async function main() {
       }),
 
       fileSearch: openai.tools.fileSearch({
-        maxResults: 5,
-        searchType: 'semantic',
+        maxNumResults: 5,
+        ranking: {
+          ranker: 'semantic',
+        },
       }),
     },
   });
diff --git a/examples/ai-core/src/generate-text/openai-responses-chatbot.ts b/examples/ai-core/src/generate-text/openai-responses-chatbot.ts
index 74a4c52d275f..f91a4f2b8c96 100644
--- a/examples/ai-core/src/generate-text/openai-responses-chatbot.ts
+++ b/examples/ai-core/src/generate-text/openai-responses-chatbot.ts
@@ -21,7 +21,7 @@ async function main() {
     }
 
     const { text, toolCalls, toolResults, response } = await generateText({
-      model: openai.responses('gpt-4o-mini'),
+      model: openai.responses('o3'),
       tools: { weatherTool },
       system: `You are a helpful, respectful and honest assistant.`,
       messages,
diff --git a/examples/ai-core/src/generate-text/openai-responses-reasoning-summary.ts b/examples/ai-core/src/generate-text/openai-responses-reasoning-summary.ts
index 2d2b236f71b9..a6f3a2b55d3f 100644
--- a/examples/ai-core/src/generate-text/openai-responses-reasoning-summary.ts
+++ b/examples/ai-core/src/generate-text/openai-responses-reasoning-summary.ts
@@ -17,18 +17,15 @@ async function main() {
   });
 
   process.stdout.write('\x1b[34m');
-  console.log(result.reasoning);
+  console.log(JSON.stringify(result.reasoning, null, 2));
   process.stdout.write('\x1b[0m');
   console.log(result.text);
   console.log();
   console.log('Finish reason:', result.finishReason);
-  console.log('Usage:', {
-    ...result.usage,
-    reasoningTokens: result.providerMetadata?.openai?.reasoningTokens,
-  });
+  console.log('Usage:', result.usage);
   console.log();
-  console.log('Request:', JSON.stringify(result.request, null, 2));
-  console.log('Response:', JSON.stringify(result.response, null, 2));
+  console.log('Request body:', JSON.stringify(result.request.body, null, 2));
+  console.log('Response body:', JSON.stringify(result.response.body, null, 2));
 }
 
 main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/openai-responses-reasoning-zero-data-retention.ts b/examples/ai-core/src/generate-text/openai-responses-reasoning-zero-data-retention.ts
new file mode 100644
index 000000000000..d7b3280eab06
--- /dev/null
+++ b/examples/ai-core/src/generate-text/openai-responses-reasoning-zero-data-retention.ts
@@ -0,0 +1,73 @@
+import { openai, OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
+import { generateText, UserModelMessage } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result1 = await generateText({
+    model: openai.responses('o3-mini'),
+    prompt:
+      'Analyze the following encrypted data: U2VjcmV0UGFzc3dvcmQxMjM=. What type of encryption is this and what secret does it contain?',
+    providerOptions: {
+      openai: {
+        store: false, // No data retention - makes interaction stateless
+        reasoningEffort: 'medium',
+        reasoningSummary: 'auto',
+        include: ['reasoning.encrypted_content'], // Hence, we need to retrieve the model's encrypted reasoning to be able to pass it to follow-up requests
+      } satisfies OpenAIResponsesProviderOptions,
+    },
+  });
+  console.log('=== First request ===');
+  process.stdout.write('\x1b[34m');
+  console.log(JSON.stringify(result1.reasoning, null, 2));
+  process.stdout.write('\x1b[0m');
+  console.log(result1.text);
+  console.log();
+  console.log('Finish reason:', result1.finishReason);
+  console.log('Usage:', result1.usage);
+  console.log();
+  console.log('Request body:', JSON.stringify(result1.request.body, null, 2));
+  console.log('Response body:', JSON.stringify(result1.response.body, null, 2));
+
+  const result2 = await generateText({
+    model: openai.responses('o3-mini'),
+    prompt: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'Analyze the following encrypted data: U2VjcmV0UGFzc3dvcmQxMjM=. What type of encryption is this and what secret does it contain?',
+          },
+        ],
+      },
+      ...result1.response.messages, // Need to pass all previous messages to the follow-up request
+      {
+        role: 'user',
+        content:
+          'Based on your previous analysis, what security recommendations would you make?',
+      } satisfies UserModelMessage,
+    ],
+    providerOptions: {
+      openai: {
+        store: false, // No data retention - makes interaction stateless
+        reasoningEffort: 'medium',
+        reasoningSummary: 'auto',
+        include: ['reasoning.encrypted_content'], // Hence, we need to retrieve the model's encrypted reasoning to be able to pass it to follow-up requests
+      } satisfies OpenAIResponsesProviderOptions,
+    },
+  });
+
+  console.log('=== Second request ===');
+  process.stdout.write('\x1b[34m');
+  console.log(JSON.stringify(result2.reasoning, null, 2));
+  process.stdout.write('\x1b[0m');
+  console.log(result2.text);
+  console.log();
+  console.log('Finish reason:', result2.finishReason);
+  console.log('Usage:', result2.usage);
+  console.log();
+  console.log('Request body:', JSON.stringify(result2.request.body, null, 2));
+  console.log('Response body:', JSON.stringify(result2.response.body, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/openai-responses-reasoning.ts b/examples/ai-core/src/generate-text/openai-responses-reasoning.ts
index e5e5d9707f2f..b6c93c1cf92c 100644
--- a/examples/ai-core/src/generate-text/openai-responses-reasoning.ts
+++ b/examples/ai-core/src/generate-text/openai-responses-reasoning.ts
@@ -14,13 +14,13 @@ async function main() {
     },
   });
 
+  process.stdout.write('\x1b[34m');
+  console.log(JSON.stringify(result.reasoning, null, 2));
+  process.stdout.write('\x1b[0m');
   console.log(result.text);
   console.log();
   console.log('Finish reason:', result.finishReason);
-  console.log('Usage:', {
-    ...result.usage,
-    reasoningTokens: result.providerMetadata?.openai?.reasoningTokens,
-  });
+  console.log('Usage:', result.usage);
   console.log();
   console.log('Request:', JSON.stringify(result.request, null, 2));
   console.log('Response:', JSON.stringify(result.response, null, 2));
diff --git a/examples/ai-core/src/generate-text/provider-defined-tools-working.ts b/examples/ai-core/src/generate-text/provider-defined-tools-working.ts
index a207b138734f..a485d5596392 100644
--- a/examples/ai-core/src/generate-text/provider-defined-tools-working.ts
+++ b/examples/ai-core/src/generate-text/provider-defined-tools-working.ts
@@ -18,8 +18,10 @@ async function main() {
   });
 
   const openaiFileSearch = openai.tools.fileSearch({
-    maxResults: 5,
-    searchType: 'semantic',
+    maxNumResults: 5,
+    ranking: {
+      ranker: 'semantic',
+    },
   });
 
   console.log('OpenAI Web Search Tool created successfully');
diff --git a/examples/ai-core/src/generate-text/vercel.ts b/examples/ai-core/src/generate-text/vercel.ts
index bf3e0b8d89b4..460c64f293e3 100644
--- a/examples/ai-core/src/generate-text/vercel.ts
+++ b/examples/ai-core/src/generate-text/vercel.ts
@@ -4,9 +4,8 @@ import { generateText } from 'ai';
 
 async function main() {
   const result = await generateText({
-    model: vercel('v0-1.0-md'),
-    // prompt: 'Invent a new holiday and describe its traditions.',
-    prompt: 'Create a Next.js AI chatbot',
+    model: vercel('v0-1.5-md'),
+    prompt: 'Implement Fibonacci in Lua.',
   });
 
   console.log(result.text);
diff --git a/examples/ai-core/src/middleware/get-last-user-message-text.ts b/examples/ai-core/src/middleware/get-last-user-message-text.ts
index 60754c8a8c83..dcb8405df6e9 100644
--- a/examples/ai-core/src/middleware/get-last-user-message-text.ts
+++ b/examples/ai-core/src/middleware/get-last-user-message-text.ts
@@ -13,5 +13,8 @@ export function getLastUserMessageText({
 
   return lastMessage.content.length === 0
     ? undefined
-    : lastMessage.content.filter(c => c.type === 'text').join('\n');
+    : lastMessage.content
+        .filter(c => c.type === 'text')
+        .map(c => c.text)
+        .join('\n');
 }
diff --git a/examples/ai-core/src/stream-object/google-caching.ts b/examples/ai-core/src/stream-object/google-caching.ts
new file mode 100644
index 000000000000..d0903e26af35
--- /dev/null
+++ b/examples/ai-core/src/stream-object/google-caching.ts
@@ -0,0 +1,68 @@
+import 'dotenv/config';
+import { google } from '@ai-sdk/google';
+import { streamObject } from 'ai';
+import fs from 'node:fs';
+import { z } from 'zod';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+async function main() {
+  const result1 = streamObject({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+    schema: z.object({
+      error: z.string(),
+      stack: z.string(),
+    }),
+  });
+
+  for await (const _ of result1.partialObjectStream) {
+    void _;
+  }
+
+  const providerMetadata1 = await result1.providerMetadata;
+  console.log(providerMetadata1?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     thoughtsTokenCount: 857,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 1075,
+  //     totalTokenCount: 4084
+  //   }
+  // }
+
+  const result2 = streamObject({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+    schema: z.object({
+      error: z.string(),
+      stack: z.string(),
+    }),
+  });
+
+  for await (const _ of result2.partialObjectStream) {
+    void _;
+  }
+
+  const providerMetadata2 = await result2.providerMetadata;
+  console.log(providerMetadata2?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     cachedContentTokenCount: 1880,
+  //     thoughtsTokenCount: 1381,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 914,
+  //     totalTokenCount: 4447
+  //   }
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-object/vercel.ts b/examples/ai-core/src/stream-object/vercel.ts
index f173843495d9..94251c54eda9 100644
--- a/examples/ai-core/src/stream-object/vercel.ts
+++ b/examples/ai-core/src/stream-object/vercel.ts
@@ -5,20 +5,25 @@ import { z } from 'zod/v4';
 
 async function main() {
   const result = streamObject({
-    model: vercel('v0-1.0-md'),
+    model: vercel('v0-1.5-md'),
     schema: z.object({
-      characters: z.array(
-        z.object({
-          name: z.string(),
-          class: z
-            .string()
-            .describe('Character class, e.g. warrior, mage, or thief.'),
-          description: z.string(),
+      button: z.object({
+        element: z.string(),
+        baseStyles: z.object({
+          padding: z.string(),
+          borderRadius: z.string(),
+          border: z.string(),
+          backgroundColor: z.string(),
+          color: z.string(),
+          cursor: z.string(),
         }),
-      ),
+        hoverStyles: z.object({
+          backgroundColor: z.string(),
+          transform: z.string().optional(),
+        }),
+      }),
     }),
-    prompt:
-      'Generate 3 character descriptions for a fantasy role playing game.',
+    prompt: 'Generate CSS styles for a modern primary button component.',
   });
 
   for await (const partialObject of result.partialObjectStream) {
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-activetools.ts b/examples/ai-core/src/stream-text/amazon-bedrock-activetools.ts
new file mode 100644
index 000000000000..2a85482ca86c
--- /dev/null
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-activetools.ts
@@ -0,0 +1,61 @@
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { streamText, tool, stepCountIs } from 'ai';
+import { z } from 'zod';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: bedrock('anthropic.claude-3-5-sonnet-20241022-v2:0'),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location',
+        inputSchema: z.object({ city: z.string() }),
+        execute: async ({ city }) => ({
+          result: `The weather in ${city} is 20°C.`,
+        }),
+      }),
+    },
+    stopWhen: [stepCountIs(5)],
+    prepareStep: ({ stepNumber }) => {
+      if (stepNumber > 0) {
+        console.log(`Setting activeTools: [] for step ${stepNumber}`);
+        return {
+          activeTools: [],
+        };
+      }
+      return undefined;
+    },
+    toolChoice: 'auto',
+    prompt: 'What is the weather in Toronto, Calgary, and Vancouver?',
+  });
+
+  for await (const part of result.fullStream) {
+    switch (part.type) {
+      case 'start-step':
+        console.log('Step started');
+        break;
+      case 'tool-call':
+        console.log(
+          `Tool call: ${part.toolName}(${JSON.stringify(part.input)})`,
+        );
+        break;
+      case 'tool-result':
+        console.log(`Tool result: ${JSON.stringify(part.output)}`);
+        break;
+      case 'text-delta':
+        process.stdout.write(part.text);
+        break;
+      case 'finish-step':
+        console.log('Step finished');
+        break;
+      case 'finish':
+        console.log('Stream finished');
+        break;
+    }
+  }
+
+  console.log();
+  console.log('Usage:', await result.usage);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-cache-point-tool-call.ts b/examples/ai-core/src/stream-text/amazon-bedrock-cache-point-tool-call.ts
index a2e02635d20f..0c53cb50f243 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-cache-point-tool-call.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-cache-point-tool-call.ts
@@ -146,7 +146,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-fullstream.ts b/examples/ai-core/src/stream-text/amazon-bedrock-fullstream.ts
index 1152bf7ad9af..65616786fcfa 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-fullstream.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-fullstream.ts
@@ -24,7 +24,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'reasoning': {
+      case 'reasoning-delta': {
         if (!enteredReasoning) {
           enteredReasoning = true;
           console.log('\nREASONING:\n');
@@ -33,7 +33,7 @@ async function main() {
         break;
       }
 
-      case 'text': {
+      case 'text-delta': {
         if (!enteredText) {
           enteredText = true;
           console.log('\nTEXT:\n');
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-chatbot.ts b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-chatbot.ts
index b9656d593b30..5f4bd8a9ca07 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-chatbot.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-chatbot.ts
@@ -60,9 +60,9 @@ async function main() {
 
     process.stdout.write('\nAssistant: ');
     for await (const part of result.fullStream) {
-      if (part.type === 'reasoning') {
+      if (part.type === 'reasoning-delta') {
         process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-      } else if (part.type === 'text') {
+      } else if (part.type === 'text-delta') {
         process.stdout.write(part.text);
       }
     }
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-fullstream.ts b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-fullstream.ts
index 936b21a9e6a7..d719412846aa 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-fullstream.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning-fullstream.ts
@@ -26,7 +26,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'reasoning': {
+      case 'reasoning-delta': {
         if (!enteredReasoning) {
           enteredReasoning = true;
           console.log('\nREASONING:\n');
@@ -35,7 +35,7 @@ async function main() {
         break;
       }
 
-      case 'text': {
+      case 'text-delta': {
         if (!enteredText) {
           enteredText = true;
           console.log('\nTEXT:\n');
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning.ts b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning.ts
index 69c784243eec..d6a58dc019dc 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-reasoning.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-reasoning.ts
@@ -20,9 +20,9 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/amazon-bedrock-tool-call.ts b/examples/ai-core/src/stream-text/amazon-bedrock-tool-call.ts
index 5028a953fe1c..cf28703b1416 100644
--- a/examples/ai-core/src/stream-text/amazon-bedrock-tool-call.ts
+++ b/examples/ai-core/src/stream-text/amazon-bedrock-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/anthropic-disable-parallel-tools.ts b/examples/ai-core/src/stream-text/anthropic-disable-parallel-tools.ts
new file mode 100644
index 000000000000..5fd24600a830
--- /dev/null
+++ b/examples/ai-core/src/stream-text/anthropic-disable-parallel-tools.ts
@@ -0,0 +1,54 @@
+import { anthropic } from '@ai-sdk/anthropic';
+import { streamText, tool } from 'ai';
+import { z } from 'zod';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: anthropic('claude-3-5-sonnet-20241022'),
+    prompt: 'What is the weather in Paris, France and London, UK?',
+    tools: {
+      getWeather: tool({
+        description: 'Get the current weather for a location',
+        inputSchema: z.object({
+          location: z
+            .string()
+            .describe('The city and state, e.g. San Francisco, CA'),
+        }),
+        execute: async ({ location }: { location: string }) => {
+          return `Weather in ${location}: 72°F, sunny`;
+        },
+      }),
+    },
+    providerOptions: {
+      anthropic: {
+        disableParallelToolUse: true,
+      },
+    },
+  });
+
+  for await (const chunk of result.fullStream) {
+    switch (chunk.type) {
+      case 'text-delta': {
+        process.stdout.write(chunk.text);
+        break;
+      }
+      case 'tool-call': {
+        console.log(
+          `\nTOOL CALL: ${chunk.toolName}(${JSON.stringify(chunk.input)})`,
+        );
+        break;
+      }
+      case 'tool-result': {
+        console.log(`TOOL RESULT: ${JSON.stringify(chunk.output)}`);
+        break;
+      }
+    }
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/anthropic-fullstream.ts b/examples/ai-core/src/stream-text/anthropic-fullstream.ts
index 47a245d88177..5c7974fafd6a 100644
--- a/examples/ai-core/src/stream-text/anthropic-fullstream.ts
+++ b/examples/ai-core/src/stream-text/anthropic-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/anthropic-on-chunk-raw.ts b/examples/ai-core/src/stream-text/anthropic-on-chunk-raw.ts
index aee727a9782f..a27eea1e88c9 100644
--- a/examples/ai-core/src/stream-text/anthropic-on-chunk-raw.ts
+++ b/examples/ai-core/src/stream-text/anthropic-on-chunk-raw.ts
@@ -15,7 +15,7 @@ async function main() {
       'Write a short poem about coding. Include reasoning about your creative process.',
     includeRawChunks: true,
     onChunk({ chunk }) {
-      if (chunk.type === 'text') {
+      if (chunk.type === 'text-delta') {
         textChunkCount++;
         console.log('onChunk text:', chunk.text);
       } else if (chunk.type === 'raw') {
diff --git a/examples/ai-core/src/stream-text/anthropic-pdf-sources.ts b/examples/ai-core/src/stream-text/anthropic-pdf-sources.ts
index 6fde9108fbf5..ad54d2d0d069 100644
--- a/examples/ai-core/src/stream-text/anthropic-pdf-sources.ts
+++ b/examples/ai-core/src/stream-text/anthropic-pdf-sources.ts
@@ -34,7 +34,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/anthropic-reasoning-chatbot.ts b/examples/ai-core/src/stream-text/anthropic-reasoning-chatbot.ts
index 00ee356b641b..731bee6b322b 100644
--- a/examples/ai-core/src/stream-text/anthropic-reasoning-chatbot.ts
+++ b/examples/ai-core/src/stream-text/anthropic-reasoning-chatbot.ts
@@ -60,9 +60,9 @@ async function main() {
 
     process.stdout.write('\nAssistant: ');
     for await (const part of result.fullStream) {
-      if (part.type === 'reasoning') {
+      if (part.type === 'reasoning-delta') {
         process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-      } else if (part.type === 'text') {
+      } else if (part.type === 'text-delta') {
         process.stdout.write(part.text);
       }
     }
diff --git a/examples/ai-core/src/stream-text/anthropic-reasoning-fullstream.ts b/examples/ai-core/src/stream-text/anthropic-reasoning-fullstream.ts
index fa543a8c839d..d11e1761ff2f 100644
--- a/examples/ai-core/src/stream-text/anthropic-reasoning-fullstream.ts
+++ b/examples/ai-core/src/stream-text/anthropic-reasoning-fullstream.ts
@@ -39,7 +39,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'reasoning': {
+      case 'reasoning-delta': {
         if (!enteredReasoning) {
           enteredReasoning = true;
           console.log('\nREASONING:\n');
@@ -48,7 +48,7 @@ async function main() {
         break;
       }
 
-      case 'text': {
+      case 'text-delta': {
         if (!enteredText) {
           enteredText = true;
           console.log('\nTEXT:\n');
diff --git a/examples/ai-core/src/stream-text/anthropic-reasoning.ts b/examples/ai-core/src/stream-text/anthropic-reasoning.ts
index ce3e9d706285..df67e96881da 100644
--- a/examples/ai-core/src/stream-text/anthropic-reasoning.ts
+++ b/examples/ai-core/src/stream-text/anthropic-reasoning.ts
@@ -19,13 +19,13 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
 
       if (part.providerMetadata?.anthropic?.redactedData != null) {
         process.stdout.write('\x1b[31m' + '<redacted>' + '\x1b[0m');
       }
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/anthropic-text-citations.ts b/examples/ai-core/src/stream-text/anthropic-text-citations.ts
index 4369ed2f2631..0cdf5b82b7dd 100644
--- a/examples/ai-core/src/stream-text/anthropic-text-citations.ts
+++ b/examples/ai-core/src/stream-text/anthropic-text-citations.ts
@@ -33,7 +33,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text':
+      case 'text-delta':
         process.stdout.write(part.text);
         break;
 
diff --git a/examples/ai-core/src/stream-text/azure-fullstream-logprobs.ts b/examples/ai-core/src/stream-text/azure-fullstream-logprobs.ts
index 46f89bab5f8e..0f18bd7389de 100644
--- a/examples/ai-core/src/stream-text/azure-fullstream-logprobs.ts
+++ b/examples/ai-core/src/stream-text/azure-fullstream-logprobs.ts
@@ -15,7 +15,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/azure-fullstream.ts b/examples/ai-core/src/stream-text/azure-fullstream.ts
index b8ec820eecf0..8739d7a099b9 100644
--- a/examples/ai-core/src/stream-text/azure-fullstream.ts
+++ b/examples/ai-core/src/stream-text/azure-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/cerebras-tool-call.ts b/examples/ai-core/src/stream-text/cerebras-tool-call.ts
index f5e1ccebc4d8..c61b4f06ce50 100644
--- a/examples/ai-core/src/stream-text/cerebras-tool-call.ts
+++ b/examples/ai-core/src/stream-text/cerebras-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/cohere-tool-call-empty-params.ts b/examples/ai-core/src/stream-text/cohere-tool-call-empty-params.ts
index 1a5ad38d4260..cc6a28121ea7 100644
--- a/examples/ai-core/src/stream-text/cohere-tool-call-empty-params.ts
+++ b/examples/ai-core/src/stream-text/cohere-tool-call-empty-params.ts
@@ -37,7 +37,7 @@ async function main() {
     console.log(delta);
 
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/cohere-tool-call.ts b/examples/ai-core/src/stream-text/cohere-tool-call.ts
index 52998324ca27..87b3582dc63e 100644
--- a/examples/ai-core/src/stream-text/cohere-tool-call.ts
+++ b/examples/ai-core/src/stream-text/cohere-tool-call.ts
@@ -26,7 +26,7 @@ async function main() {
     console.log(delta);
 
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/deepseek-reasoning.ts b/examples/ai-core/src/stream-text/deepseek-reasoning.ts
index 249691261ee0..e5c0fb133949 100644
--- a/examples/ai-core/src/stream-text/deepseek-reasoning.ts
+++ b/examples/ai-core/src/stream-text/deepseek-reasoning.ts
@@ -9,9 +9,9 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/deepseek-tool-call.ts b/examples/ai-core/src/stream-text/deepseek-tool-call.ts
index 4386bc6b1c5c..de3badc0f2f3 100644
--- a/examples/ai-core/src/stream-text/deepseek-tool-call.ts
+++ b/examples/ai-core/src/stream-text/deepseek-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/fireworks-kimi-k2-tool-call.ts b/examples/ai-core/src/stream-text/fireworks-kimi-k2-tool-call.ts
new file mode 100644
index 000000000000..388b9afcbccf
--- /dev/null
+++ b/examples/ai-core/src/stream-text/fireworks-kimi-k2-tool-call.ts
@@ -0,0 +1,79 @@
+import { fireworks } from '@ai-sdk/fireworks';
+import { streamText, ModelMessage, ToolCallPart, ToolResultPart } from 'ai';
+import 'dotenv/config';
+import { weatherTool } from '../tools/weather-tool';
+
+const messages: ModelMessage[] = [];
+
+async function main() {
+  let toolResponseAvailable = false;
+
+  const result = streamText({
+    model: fireworks('accounts/fireworks/models/kimi-k2-instruct'),
+    maxOutputTokens: 512,
+    tools: {
+      weather: weatherTool,
+    },
+    toolChoice: 'auto',
+    prompt: 'What is the weather in San Francisco?',
+  });
+
+  let fullResponse = '';
+  const toolCalls: ToolCallPart[] = [];
+  const toolResponses: ToolResultPart[] = [];
+
+  for await (const delta of result.fullStream) {
+    switch (delta.type) {
+      case 'text-delta': {
+        fullResponse += delta.text;
+        process.stdout.write(delta.text);
+        break;
+      }
+
+      case 'tool-call': {
+        toolCalls.push(delta);
+        process.stdout.write(
+          `\nTool call: '${delta.toolName}' ${JSON.stringify(delta.input)}`,
+        );
+        break;
+      }
+
+      case 'tool-result': {
+        const transformedDelta: ToolResultPart = {
+          ...delta,
+          output: { type: 'json', value: delta.output },
+        };
+        toolResponses.push(transformedDelta);
+
+        process.stdout.write(
+          `\nTool response: '${delta.toolName}' ${JSON.stringify(delta.output)}`,
+        );
+        toolResponseAvailable = true;
+        break;
+      }
+
+      case 'error': {
+        console.log(`\nError: ${delta.error}`);
+        break;
+      }
+    }
+  }
+
+  messages.push({
+    role: 'assistant',
+    content: [{ type: 'text', text: fullResponse }, ...toolCalls],
+  });
+
+  if (toolResponses.length > 0) {
+    messages.push({ role: 'tool', content: toolResponses });
+  }
+
+  toolResponseAvailable = toolCalls.length > 0;
+  console.log('Messages:', messages[0].content);
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/fireworks-kimi-k2.ts b/examples/ai-core/src/stream-text/fireworks-kimi-k2.ts
new file mode 100644
index 000000000000..cfe6cb230713
--- /dev/null
+++ b/examples/ai-core/src/stream-text/fireworks-kimi-k2.ts
@@ -0,0 +1,20 @@
+import { fireworks } from '@ai-sdk/fireworks';
+import { streamText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: fireworks('accounts/fireworks/models/kimi-k2-instruct'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/fireworks-reasoning.ts b/examples/ai-core/src/stream-text/fireworks-reasoning.ts
index ea138e16cdf7..2f260c0e7179 100644
--- a/examples/ai-core/src/stream-text/fireworks-reasoning.ts
+++ b/examples/ai-core/src/stream-text/fireworks-reasoning.ts
@@ -17,13 +17,13 @@ async function main() {
   let enteredReasoning = false;
   let enteredText = false;
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       if (!enteredReasoning) {
         enteredReasoning = true;
         console.log('\nREASONING:\n');
       }
       process.stdout.write(part.text);
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       if (!enteredText) {
         enteredText = true;
         console.log('\nTEXT:\n');
diff --git a/examples/ai-core/src/stream-text/gateway-provider-options-order.ts b/examples/ai-core/src/stream-text/gateway-provider-options-order.ts
new file mode 100644
index 000000000000..c625aa851205
--- /dev/null
+++ b/examples/ai-core/src/stream-text/gateway-provider-options-order.ts
@@ -0,0 +1,25 @@
+import { streamText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: 'anthropic/claude-4-sonnet',
+    prompt: 'Invent a new holiday and describe its traditions.',
+    providerOptions: {
+      gateway: {
+        order: ['bedrock', 'anthropic'],
+      },
+    },
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log('Provider metadata:', await result.providerMetadata);
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/google-caching.ts b/examples/ai-core/src/stream-text/google-caching.ts
new file mode 100644
index 000000000000..e22e5a1053de
--- /dev/null
+++ b/examples/ai-core/src/stream-text/google-caching.ts
@@ -0,0 +1,55 @@
+import 'dotenv/config';
+import { google } from '@ai-sdk/google';
+import { streamText } from 'ai';
+import fs from 'node:fs';
+
+const errorMessage = fs.readFileSync('data/error-message.txt', 'utf8');
+
+async function main() {
+  const result1 = streamText({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+  });
+
+  await result1.consumeStream();
+
+  const providerMetadata1 = await result1.providerMetadata;
+  console.log(providerMetadata1?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     thoughtsTokenCount: 1336,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 992,
+  //     totalTokenCount: 4480
+  //   }
+  // }
+
+  const result2 = streamText({
+    model: google('gemini-2.5-flash'),
+    prompt: errorMessage,
+  });
+
+  await result2.consumeStream();
+
+  const providerMetadata2 = await result2.providerMetadata;
+  console.log(providerMetadata2?.google);
+
+  // e.g.
+  // {
+  //   groundingMetadata: null,
+  //   safetyRatings: null,
+  //   usageMetadata: {
+  //     cachedContentTokenCount: 2027,
+  //     thoughtsTokenCount: 908,
+  //     promptTokenCount: 2152,
+  //     candidatesTokenCount: 667,
+  //     totalTokenCount: 3727
+  //   }
+  // }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/google-chatbot-image-output.ts b/examples/ai-core/src/stream-text/google-chatbot-image-output.ts
index 7ad72ec7bc0f..158f5a2f8d16 100644
--- a/examples/ai-core/src/stream-text/google-chatbot-image-output.ts
+++ b/examples/ai-core/src/stream-text/google-chatbot-image-output.ts
@@ -26,7 +26,7 @@ async function main() {
     process.stdout.write('\nAssistant: ');
     for await (const delta of result.fullStream) {
       switch (delta.type) {
-        case 'text': {
+        case 'text-delta': {
           process.stdout.write(delta.text);
           break;
         }
diff --git a/examples/ai-core/src/stream-text/google-fullstream.ts b/examples/ai-core/src/stream-text/google-fullstream.ts
index 00fb3a38bed6..5236500fda5e 100644
--- a/examples/ai-core/src/stream-text/google-fullstream.ts
+++ b/examples/ai-core/src/stream-text/google-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/google-grounding.ts b/examples/ai-core/src/stream-text/google-grounding.ts
index 7688c610b956..700323e4a650 100644
--- a/examples/ai-core/src/stream-text/google-grounding.ts
+++ b/examples/ai-core/src/stream-text/google-grounding.ts
@@ -4,17 +4,15 @@ import 'dotenv/config';
 
 async function main() {
   const result = streamText({
-    model: google('gemini-2.0-flash-exp'),
-    providerOptions: {
-      google: {
-        useSearchGrounding: true,
-      },
+    model: google('gemini-2.5-flash'),
+    tools: {
+      google_search: google.tools.googleSearch({}),
     },
     prompt: 'List the top 5 San Francisco news from the past week.',
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'text') {
+    if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
 
diff --git a/examples/ai-core/src/stream-text/google-image-output.ts b/examples/ai-core/src/stream-text/google-image-output.ts
index 67e4e480b1d2..17650996a8e1 100644
--- a/examples/ai-core/src/stream-text/google-image-output.ts
+++ b/examples/ai-core/src/stream-text/google-image-output.ts
@@ -14,7 +14,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/google-reasoning.ts b/examples/ai-core/src/stream-text/google-reasoning.ts
index a5d97a623f5e..339f5f065225 100644
--- a/examples/ai-core/src/stream-text/google-reasoning.ts
+++ b/examples/ai-core/src/stream-text/google-reasoning.ts
@@ -20,9 +20,9 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/google-url-context.ts b/examples/ai-core/src/stream-text/google-url-context.ts
new file mode 100644
index 000000000000..f805e2e1cfa3
--- /dev/null
+++ b/examples/ai-core/src/stream-text/google-url-context.ts
@@ -0,0 +1,34 @@
+import { google } from '@ai-sdk/google';
+import { streamText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: google('gemini-2.5-flash'),
+    prompt: `Based on the document: https://ai.google.dev/gemini-api/docs/url-context#limitations.
+            Answer this question: How many links we can consume in one request?`,
+    tools: {
+      url_context: google.tools.urlContext({}),
+    },
+  });
+
+  for await (const part of result.fullStream) {
+    if (part.type === 'text-delta') {
+      process.stdout.write(part.text);
+    }
+
+    if (part.type === 'source' && part.sourceType === 'url') {
+      console.log('\x1b[36m%s\x1b[0m', 'Source');
+      console.log('ID:', part.id);
+      console.log('Title:', part.title);
+      console.log('URL:', part.url);
+      console.log();
+    }
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/google-vertex-anthropic-fullstream.ts b/examples/ai-core/src/stream-text/google-vertex-anthropic-fullstream.ts
index c920d28a1ffb..67a572e283d4 100644
--- a/examples/ai-core/src/stream-text/google-vertex-anthropic-fullstream.ts
+++ b/examples/ai-core/src/stream-text/google-vertex-anthropic-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/google-vertex-anthropic-tool-call.ts b/examples/ai-core/src/stream-text/google-vertex-anthropic-tool-call.ts
index 29d25a5cd9e9..bf4a967a6286 100644
--- a/examples/ai-core/src/stream-text/google-vertex-anthropic-tool-call.ts
+++ b/examples/ai-core/src/stream-text/google-vertex-anthropic-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/google-vertex-fullstream.ts b/examples/ai-core/src/stream-text/google-vertex-fullstream.ts
index da866da1b686..706d9a3f2a4f 100644
--- a/examples/ai-core/src/stream-text/google-vertex-fullstream.ts
+++ b/examples/ai-core/src/stream-text/google-vertex-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/google-vertex-reasoning.ts b/examples/ai-core/src/stream-text/google-vertex-reasoning.ts
index 124039c90591..d7c1aa893dd5 100644
--- a/examples/ai-core/src/stream-text/google-vertex-reasoning.ts
+++ b/examples/ai-core/src/stream-text/google-vertex-reasoning.ts
@@ -17,9 +17,9 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/groq-kimi-k2-tool-call.ts b/examples/ai-core/src/stream-text/groq-kimi-k2-tool-call.ts
new file mode 100644
index 000000000000..dd97dd9fc3fd
--- /dev/null
+++ b/examples/ai-core/src/stream-text/groq-kimi-k2-tool-call.ts
@@ -0,0 +1,73 @@
+import { groq } from '@ai-sdk/groq';
+import { streamText, ModelMessage, ToolCallPart, ToolResultPart } from 'ai';
+import 'dotenv/config';
+import { weatherTool } from '../tools/weather-tool';
+
+const messages: ModelMessage[] = [];
+
+async function main() {
+  let toolResponseAvailable = false;
+
+  const result = streamText({
+    model: groq('moonshotai/kimi-k2-instruct'),
+    maxOutputTokens: 512,
+    tools: {
+      weather: weatherTool,
+    },
+    toolChoice: 'auto',
+    prompt: 'What is the weather in San Francisco?',
+  });
+
+  let fullResponse = '';
+  const toolCalls: ToolCallPart[] = [];
+  const toolResponses: ToolResultPart[] = [];
+
+  for await (const delta of result.fullStream) {
+    switch (delta.type) {
+      case 'text-delta': {
+        fullResponse += delta.text;
+        process.stdout.write(delta.text);
+        break;
+      }
+
+      case 'tool-call': {
+        toolCalls.push(delta);
+
+        process.stdout.write(
+          `\nTool call: '${delta.toolName}' ${JSON.stringify(delta.input)}`,
+        );
+        break;
+      }
+
+      case 'tool-result': {
+        const transformedDelta: ToolResultPart = {
+          ...delta,
+          output: { type: 'json', value: delta.output },
+        };
+        toolResponses.push(transformedDelta);
+
+        process.stdout.write(
+          `\nTool response: '${delta.toolName}' ${JSON.stringify(
+            delta.output,
+          )}`,
+        );
+        break;
+      }
+    }
+  }
+  process.stdout.write('\n\n');
+
+  messages.push({
+    role: 'assistant',
+    content: [{ type: 'text', text: fullResponse }, ...toolCalls],
+  });
+
+  if (toolResponses.length > 0) {
+    messages.push({ role: 'tool', content: toolResponses });
+  }
+
+  toolResponseAvailable = toolCalls.length > 0;
+  console.log('Messages:', messages[0].content);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/groq-kimi-k2.ts b/examples/ai-core/src/stream-text/groq-kimi-k2.ts
new file mode 100644
index 000000000000..452dd64b18cb
--- /dev/null
+++ b/examples/ai-core/src/stream-text/groq-kimi-k2.ts
@@ -0,0 +1,20 @@
+import { groq } from '@ai-sdk/groq';
+import { streamText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = streamText({
+    model: groq('moonshotai/kimi-k2-instruct'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log('Token usage:', await result.usage);
+  console.log('Finish reason:', await result.finishReason);
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/groq-reasoning-fullstream.ts b/examples/ai-core/src/stream-text/groq-reasoning-fullstream.ts
index 056a3d67357f..d57062390e8d 100644
--- a/examples/ai-core/src/stream-text/groq-reasoning-fullstream.ts
+++ b/examples/ai-core/src/stream-text/groq-reasoning-fullstream.ts
@@ -14,13 +14,13 @@ async function main() {
   let enteredReasoning = false;
   let enteredText = false;
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       if (!enteredReasoning) {
         enteredReasoning = true;
         console.log('\nREASONING:\n');
       }
       process.stdout.write(part.text);
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       if (!enteredText) {
         enteredText = true;
         console.log('\nTEXT:\n');
diff --git a/examples/ai-core/src/stream-text/mistral-fullstream.ts b/examples/ai-core/src/stream-text/mistral-fullstream.ts
index 842626cb9fdc..c37adab6f7b0 100644
--- a/examples/ai-core/src/stream-text/mistral-fullstream.ts
+++ b/examples/ai-core/src/stream-text/mistral-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/mistral-raw-chunks.ts b/examples/ai-core/src/stream-text/mistral-raw-chunks.ts
index e1423d5394dd..a90e32caa635 100644
--- a/examples/ai-core/src/stream-text/mistral-raw-chunks.ts
+++ b/examples/ai-core/src/stream-text/mistral-raw-chunks.ts
@@ -13,7 +13,7 @@ async function main() {
   let rawChunkCount = 0;
 
   for await (const chunk of result.fullStream) {
-    if (chunk.type === 'text') {
+    if (chunk.type === 'text-delta') {
       textChunkCount++;
       console.log('Text chunk', textChunkCount, ':', chunk.text);
     } else if (chunk.type === 'raw') {
diff --git a/examples/ai-core/src/stream-text/mistral-reasoning-raw.ts b/examples/ai-core/src/stream-text/mistral-reasoning-raw.ts
index 7a2a560e423c..e7133c39c6b3 100644
--- a/examples/ai-core/src/stream-text/mistral-reasoning-raw.ts
+++ b/examples/ai-core/src/stream-text/mistral-reasoning-raw.ts
@@ -20,13 +20,13 @@ async function main() {
   let enteredText = false;
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       if (!enteredReasoning) {
         enteredReasoning = true;
         console.log('REASONING:');
       }
       process.stdout.write(part.text);
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       if (!enteredText) {
         enteredText = true;
         console.log('\n\nTEXT:');
diff --git a/examples/ai-core/src/stream-text/openai-compatible-raw-chunks.ts b/examples/ai-core/src/stream-text/openai-compatible-raw-chunks.ts
index d86e8b716fd7..60d6c63d8822 100644
--- a/examples/ai-core/src/stream-text/openai-compatible-raw-chunks.ts
+++ b/examples/ai-core/src/stream-text/openai-compatible-raw-chunks.ts
@@ -24,7 +24,7 @@ async function main() {
   for await (const chunk of result.fullStream) {
     console.log('Chunk type:', chunk.type, 'Chunk:', JSON.stringify(chunk));
 
-    if (chunk.type === 'text') {
+    if (chunk.type === 'text-delta') {
       textChunkCount++;
       console.log('Text chunk', textChunkCount, ':', chunk.text);
     } else if (chunk.type === 'raw') {
diff --git a/examples/ai-core/src/stream-text/openai-compatible-togetherai-tool-call.ts b/examples/ai-core/src/stream-text/openai-compatible-togetherai-tool-call.ts
index 8fa2f297e96f..d781f4953a25 100644
--- a/examples/ai-core/src/stream-text/openai-compatible-togetherai-tool-call.ts
+++ b/examples/ai-core/src/stream-text/openai-compatible-togetherai-tool-call.ts
@@ -35,7 +35,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/openai-fullstream.ts b/examples/ai-core/src/stream-text/openai-fullstream.ts
index 48e445e72573..847308d4d234 100644
--- a/examples/ai-core/src/stream-text/openai-fullstream.ts
+++ b/examples/ai-core/src/stream-text/openai-fullstream.ts
@@ -18,7 +18,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/openai-read-ui-message-stream.ts b/examples/ai-core/src/stream-text/openai-read-ui-message-stream.ts
new file mode 100644
index 000000000000..8e77a68cff7d
--- /dev/null
+++ b/examples/ai-core/src/stream-text/openai-read-ui-message-stream.ts
@@ -0,0 +1,37 @@
+import { openai } from '@ai-sdk/openai';
+import { readUIMessageStream, stepCountIs, streamText, tool } from 'ai';
+import 'dotenv/config';
+import { z } from 'zod/v4';
+
+async function main() {
+  const result = streamText({
+    model: openai('gpt-4.1-mini'),
+    tools: {
+      weather: tool({
+        description: 'Get the weather in a location',
+        inputSchema: z.object({
+          location: z.string().describe('The location to get the weather for'),
+        }),
+        execute: ({ location }) => ({
+          location,
+          temperature: 72 + Math.floor(Math.random() * 21) - 10,
+        }),
+        toModelOutput: ({ location, temperature }) => ({
+          type: 'text',
+          value: `The weather in ${location} is ${temperature} degrees Fahrenheit.`,
+        }),
+      }),
+    },
+    stopWhen: stepCountIs(5),
+    prompt: 'What is the weather in Tokyo?',
+  });
+
+  for await (const uiMessage of readUIMessageStream({
+    stream: result.toUIMessageStream(),
+  })) {
+    console.clear();
+    console.log(JSON.stringify(uiMessage, null, 2));
+  }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/openai-responses-reasoning-chatbot.ts b/examples/ai-core/src/stream-text/openai-responses-reasoning-chatbot.ts
new file mode 100644
index 000000000000..6a0894a9605f
--- /dev/null
+++ b/examples/ai-core/src/stream-text/openai-responses-reasoning-chatbot.ts
@@ -0,0 +1,131 @@
+import { openai, OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
+import { stepCountIs, ModelMessage, streamText, tool, APICallError } from 'ai';
+import 'dotenv/config';
+import * as readline from 'node:readline/promises';
+import { z } from 'zod/v4';
+
+const terminal = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout,
+});
+
+const messages: ModelMessage[] = [];
+
+// what is the weather in the 5th largest coastal city of germany?
+async function main() {
+  while (true) {
+    const userInput = await terminal.question('You: ');
+
+    messages.push({ role: 'user', content: userInput });
+
+    const result = streamText({
+      model: openai.responses('o3'),
+      tools: {
+        weather: tool({
+          description: 'Get the weather in a location',
+          inputSchema: z.object({
+            location: z
+              .string()
+              .describe('The location to get the weather for'),
+          }),
+          execute: async ({ location }) => ({
+            location,
+            temperature: 72 + Math.floor(Math.random() * 21) - 10,
+          }),
+        }),
+      },
+      stopWhen: stepCountIs(5),
+      messages,
+      // includeRawChunks: true,
+      onError: ({ error }) => {
+        console.log('onError');
+        console.error(error);
+
+        if (APICallError.isInstance(error)) {
+          console.error(JSON.stringify(error.requestBodyValues, null, 2));
+        }
+      },
+      // providerOptions: {
+      //   openai: {
+      //     store: false, // No data retention - makes interaction stateless
+      //     reasoningEffort: 'medium',
+      //     reasoningSummary: 'auto',
+      //     include: ['reasoning.encrypted_content'], // Hence, we need to retrieve the model's encrypted reasoning to be able to pass it to follow-up requests
+      //   } satisfies OpenAIResponsesProviderOptions,
+      // },
+    });
+
+    process.stdout.write('\nAssistant: ');
+    for await (const chunk of result.fullStream) {
+      switch (chunk.type) {
+        case 'raw':
+          console.log(JSON.stringify(chunk.rawValue, null, 2));
+          break;
+
+        case 'reasoning-start':
+          process.stdout.write('\x1b[34m');
+          break;
+
+        case 'reasoning-delta':
+          process.stdout.write(chunk.text);
+          break;
+
+        case 'reasoning-end':
+          process.stdout.write('\x1b[0m');
+          process.stdout.write('\n');
+          break;
+
+        case 'tool-input-start':
+          process.stdout.write('\x1b[33m');
+          console.log('Tool call:', chunk.toolName);
+          process.stdout.write('Tool args: ');
+          break;
+
+        case 'tool-input-delta':
+          process.stdout.write(chunk.delta);
+          break;
+
+        case 'tool-input-end':
+          console.log();
+          break;
+
+        case 'tool-result':
+          console.log('Tool result:', chunk.output);
+          process.stdout.write('\x1b[0m');
+          break;
+
+        case 'tool-error':
+          process.stdout.write('\x1b[0m');
+          process.stderr.write('\x1b[31m');
+          console.error('Tool error:', chunk.error);
+          process.stderr.write('\x1b[0m');
+          break;
+
+        case 'text-start':
+          process.stdout.write('\x1b[32m');
+          break;
+
+        case 'text-delta':
+          process.stdout.write(chunk.text);
+          break;
+
+        case 'text-end':
+          process.stdout.write('\x1b[0m');
+          console.log();
+          break;
+      }
+    }
+    process.stdout.write('\n\n');
+
+    messages.push(...(await result.response).messages);
+  }
+}
+
+main().catch(error => {
+  console.log('main error');
+  console.error(error);
+
+  if (APICallError.isInstance(error)) {
+    console.error(JSON.stringify(error.requestBodyValues, null, 2));
+  }
+});
diff --git a/examples/ai-core/src/stream-text/openai-responses-reasoning-summary.ts b/examples/ai-core/src/stream-text/openai-responses-reasoning-summary.ts
index 64713bb0567d..c95123e004b7 100644
--- a/examples/ai-core/src/stream-text/openai-responses-reasoning-summary.ts
+++ b/examples/ai-core/src/stream-text/openai-responses-reasoning-summary.ts
@@ -19,9 +19,9 @@ async function main() {
   });
 
   for await (const part of result.fullStream) {
-    if (part.type === 'reasoning') {
+    if (part.type === 'reasoning-delta') {
       process.stdout.write('\x1b[34m' + part.text + '\x1b[0m');
-    } else if (part.type === 'text') {
+    } else if (part.type === 'text-delta') {
       process.stdout.write(part.text);
     }
   }
diff --git a/examples/ai-core/src/stream-text/openai-responses-reasoning-tool-call.ts b/examples/ai-core/src/stream-text/openai-responses-reasoning-tool-call.ts
new file mode 100644
index 000000000000..5c91bcc32777
--- /dev/null
+++ b/examples/ai-core/src/stream-text/openai-responses-reasoning-tool-call.ts
@@ -0,0 +1,142 @@
+import { openai, OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
+import { stepCountIs, streamText, tool } from 'ai';
+import 'dotenv/config';
+import { z } from 'zod/v4';
+
+async function main() {
+  const result = streamText({
+    model: openai.responses('o3-mini'),
+    stopWhen: stepCountIs(10),
+    tools: {
+      generateRandomText: tool({
+        description: 'Generate a random text of a given length',
+        inputSchema: z.object({ length: z.number().min(1) }),
+        execute: async ({ length }) => {
+          if (Math.random() < 0.5) {
+            throw new Error('Segmentation fault');
+          }
+          return Array.from({ length }, () =>
+            String.fromCharCode(Math.floor(Math.random() * 26) + 97),
+          ).join('');
+        },
+      }),
+      countChar: tool({
+        description:
+          'Count the number of occurrences of a specific character in the text',
+        inputSchema: z.object({ text: z.string(), char: z.string() }),
+        execute: async ({ text, char }) => {
+          if (Math.random() < 0.5) {
+            throw new Error('Buffer overflow');
+          }
+          return text.split(char).length - 1;
+        },
+      }),
+    },
+    system: `If you encounter a function call error, you should retry 3 times before giving up.`,
+    prompt: `Generate two texts of 1024 characters each. Count the number of "a" in the first text, and the number of "b" in the second text.`,
+    providerOptions: {
+      openai: {
+        store: false,
+        reasoningEffort: 'medium',
+        reasoningSummary: 'auto',
+        include: ['reasoning.encrypted_content'],
+      } satisfies OpenAIResponsesProviderOptions,
+    },
+  });
+
+  for await (const chunk of result.fullStream) {
+    switch (chunk.type) {
+      case 'start':
+        console.log('START');
+        break;
+
+      case 'start-step':
+        console.log('STEP START');
+        console.log(
+          'Request body:',
+          JSON.stringify(chunk.request.body, null, 2),
+        );
+        break;
+
+      case 'reasoning-start':
+        process.stdout.write('\x1b[34m');
+        break;
+
+      case 'reasoning-delta':
+        process.stdout.write(chunk.text);
+        break;
+
+      case 'reasoning-end':
+        process.stdout.write('\x1b[0m');
+        process.stdout.write('\n');
+        break;
+
+      case 'tool-input-start':
+        process.stdout.write('\x1b[33m');
+        console.log('Tool call:', chunk.toolName);
+        process.stdout.write('Tool args: ');
+        break;
+
+      case 'tool-input-delta':
+        process.stdout.write(chunk.delta);
+        break;
+
+      case 'tool-input-end':
+        console.log();
+        break;
+
+      case 'tool-result':
+        console.log('Tool result:', chunk.output);
+        process.stdout.write('\x1b[0m');
+        break;
+
+      case 'tool-error':
+        process.stdout.write('\x1b[0m');
+        process.stderr.write('\x1b[31m');
+        console.error('Tool error:', chunk.error);
+        process.stderr.write('\x1b[0m');
+        break;
+
+      case 'text-start':
+        process.stdout.write('\x1b[32m');
+        break;
+
+      case 'text-delta':
+        process.stdout.write(chunk.text);
+        break;
+
+      case 'text-end':
+        process.stdout.write('\x1b[0m');
+        console.log();
+        break;
+
+      case 'finish-step':
+        console.log('Finish reason:', chunk.finishReason);
+        console.log('Usage:', chunk.usage);
+        console.log('STEP FINISH');
+        break;
+
+      case 'finish':
+        console.log('Finish reason:', chunk.finishReason);
+        console.log('Total usage:', chunk.totalUsage);
+        console.log('FINISH');
+        break;
+
+      case 'error':
+        process.stdout.write('\x1b[0m');
+        process.stderr.write('\x1b[31m');
+        console.error('Error:', chunk.error);
+        process.stderr.write('\x1b[0m');
+        break;
+    }
+  }
+
+  console.log('MESSAGES START');
+  const messages = (await result.steps).map(step => step.response.messages);
+  for (const [i, message] of messages.entries()) {
+    console.log(`Step ${i}:`, JSON.stringify(message, null, 2));
+  }
+  console.log('MESSAGES FINISH');
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/openai-responses-reasoning-zero-data-retention.ts b/examples/ai-core/src/stream-text/openai-responses-reasoning-zero-data-retention.ts
new file mode 100644
index 000000000000..451b943815e2
--- /dev/null
+++ b/examples/ai-core/src/stream-text/openai-responses-reasoning-zero-data-retention.ts
@@ -0,0 +1,83 @@
+import { openai, OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
+import { APICallError, streamText, UserModelMessage } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result1 = streamText({
+    model: openai.responses('o3-mini'),
+    prompt:
+      'Analyze the following encrypted data: U2VjcmV0UGFzc3dvcmQxMjM=. What type of encryption is this and what secret does it contain?',
+    providerOptions: {
+      openai: {
+        store: false, // No data retention - makes interaction stateless
+        reasoningEffort: 'medium',
+        reasoningSummary: 'auto',
+        include: ['reasoning.encrypted_content'], // Hence, we need to retrieve the model's encrypted reasoning to be able to pass it to follow-up requests
+      } satisfies OpenAIResponsesProviderOptions,
+    },
+  });
+
+  await result1.consumeStream();
+
+  console.log('=== First request ===');
+  process.stdout.write('\x1b[34m');
+  console.log(JSON.stringify(await result1.reasoning, null, 2));
+  process.stdout.write('\x1b[0m');
+  console.log(await result1.text);
+  console.log();
+  console.log(
+    'Request body:',
+    JSON.stringify((await result1.request).body, null, 2),
+  );
+
+  const result2 = streamText({
+    model: openai.responses('o3-mini'),
+    prompt: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'Analyze the following encrypted data: U2VjcmV0UGFzc3dvcmQxMjM=. What type of encryption is this and what secret does it contain?',
+          },
+        ],
+      },
+      ...(await result1.response).messages, // Need to pass all previous messages to the follow-up request
+      {
+        role: 'user',
+        content:
+          'Based on your previous analysis, what security recommendations would you make?',
+      } satisfies UserModelMessage,
+    ],
+    providerOptions: {
+      openai: {
+        store: false, // No data retention - makes interaction stateless
+        reasoningEffort: 'medium',
+        reasoningSummary: 'auto',
+        include: ['reasoning.encrypted_content'], // Hence, we need to retrieve the model's encrypted reasoning to be able to pass it to follow-up requests
+      } satisfies OpenAIResponsesProviderOptions,
+    },
+    onError: ({ error }) => {
+      console.error(error);
+
+      if (APICallError.isInstance(error)) {
+        console.error(JSON.stringify(error.requestBodyValues, null, 2));
+      }
+    },
+  });
+
+  await result2.consumeStream();
+
+  console.log('=== Second request ===');
+  process.stdout.write('\x1b[34m');
+  console.log(JSON.stringify(await result2.reasoning, null, 2));
+  process.stdout.write('\x1b[0m');
+  console.log(await result2.text);
+  console.log();
+  console.log(
+    'Request body:',
+    JSON.stringify((await result2.request).body, null, 2),
+  );
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/openai-responses-tool-call.ts b/examples/ai-core/src/stream-text/openai-responses-tool-call.ts
index 2ffa4ffbc745..3132e0ac513d 100644
--- a/examples/ai-core/src/stream-text/openai-responses-tool-call.ts
+++ b/examples/ai-core/src/stream-text/openai-responses-tool-call.ts
@@ -31,7 +31,7 @@ async function main() {
 
   for await (const chunk of result.fullStream) {
     switch (chunk.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(chunk.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/openai-tool-call-raw-json-schema.ts b/examples/ai-core/src/stream-text/openai-tool-call-raw-json-schema.ts
index e82f2141173c..cfafebe4470b 100644
--- a/examples/ai-core/src/stream-text/openai-tool-call-raw-json-schema.ts
+++ b/examples/ai-core/src/stream-text/openai-tool-call-raw-json-schema.ts
@@ -36,7 +36,7 @@ async function main() {
 
   for await (const part of result.fullStream) {
     switch (part.type) {
-      case 'text': {
+      case 'text-delta': {
         console.log('Text:', part.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/openai-tool-call.ts b/examples/ai-core/src/stream-text/openai-tool-call.ts
index 5ece0c2bc5ec..3df2a83490ea 100644
--- a/examples/ai-core/src/stream-text/openai-tool-call.ts
+++ b/examples/ai-core/src/stream-text/openai-tool-call.ts
@@ -26,7 +26,7 @@ async function main() {
 
   for await (const chunk of result.fullStream) {
     switch (chunk.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(chunk.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/openai-web-search-tool.ts b/examples/ai-core/src/stream-text/openai-web-search-tool.ts
index 84d668cb41fb..dbf8655568de 100644
--- a/examples/ai-core/src/stream-text/openai-web-search-tool.ts
+++ b/examples/ai-core/src/stream-text/openai-web-search-tool.ts
@@ -17,7 +17,7 @@ async function main() {
 
   for await (const chunk of result.fullStream) {
     switch (chunk.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(chunk.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/raw-chunks.ts b/examples/ai-core/src/stream-text/raw-chunks.ts
index 211c7fd0ecd6..853542c7c146 100644
--- a/examples/ai-core/src/stream-text/raw-chunks.ts
+++ b/examples/ai-core/src/stream-text/raw-chunks.ts
@@ -13,7 +13,7 @@ async function main() {
   let rawChunkCount = 0;
 
   for await (const chunk of result.fullStream) {
-    if (chunk.type === 'text') {
+    if (chunk.type === 'text-delta') {
       textChunkCount++;
       console.log('Text chunk', textChunkCount, ':', chunk.text);
     } else if (chunk.type === 'raw') {
diff --git a/examples/ai-core/src/stream-text/togetherai-tool-call.ts b/examples/ai-core/src/stream-text/togetherai-tool-call.ts
index 38920349c888..ff48031abadf 100644
--- a/examples/ai-core/src/stream-text/togetherai-tool-call.ts
+++ b/examples/ai-core/src/stream-text/togetherai-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/ai-core/src/stream-text/vercel-tool-call.ts b/examples/ai-core/src/stream-text/vercel-tool-call.ts
index 35389bd56dfc..5d97ed95a3f3 100644
--- a/examples/ai-core/src/stream-text/vercel-tool-call.ts
+++ b/examples/ai-core/src/stream-text/vercel-tool-call.ts
@@ -1,9 +1,9 @@
 import { vercel } from '@ai-sdk/vercel';
-import { streamText, CoreMessage, ToolCallPart, ToolResultPart } from 'ai';
+import { streamText, ToolCallPart, ToolResultPart, ModelMessage } from 'ai';
 import 'dotenv/config';
 import { weatherTool } from '../tools/weather-tool';
 
-const messages: CoreMessage[] = [];
+const messages: ModelMessage[] = [];
 
 async function main() {
   let toolResponseAvailable = false;
@@ -24,7 +24,7 @@ async function main() {
 
   for await (const chunk of result.fullStream) {
     switch (chunk.type) {
-      case 'text': {
+      case 'text-delta': {
         process.stdout.write(chunk.text);
         break;
       }
diff --git a/examples/ai-core/src/stream-text/vercel.ts b/examples/ai-core/src/stream-text/vercel.ts
index 869b374961bf..2553bc9e3435 100644
--- a/examples/ai-core/src/stream-text/vercel.ts
+++ b/examples/ai-core/src/stream-text/vercel.ts
@@ -4,14 +4,10 @@ import 'dotenv/config';
 
 async function main() {
   const result = streamText({
-    model: vercel('v0-1.0-md'),
-    prompt: 'Invent a new holiday and describe its traditions.',
-    onError: error => {
-      console.error(error);
-    },
+    model: vercel('v0-1.5-md'),
+    prompt: 'Implement Fibonacci in Lua.',
   });
 
-  console.log(result);
   for await (const textPart of result.textStream) {
     process.stdout.write(textPart);
   }
diff --git a/examples/ai-core/src/stream-text/xai-raw-chunks.ts b/examples/ai-core/src/stream-text/xai-raw-chunks.ts
index f3577e795548..eecf683cc5ab 100644
--- a/examples/ai-core/src/stream-text/xai-raw-chunks.ts
+++ b/examples/ai-core/src/stream-text/xai-raw-chunks.ts
@@ -13,7 +13,7 @@ async function main() {
   let rawChunkCount = 0;
 
   for await (const chunk of result.fullStream) {
-    if (chunk.type === 'text') {
+    if (chunk.type === 'text-delta') {
       textChunkCount++;
       console.log('Text chunk', textChunkCount, ':', chunk.text);
     } else if (chunk.type === 'raw') {
diff --git a/examples/ai-core/src/stream-text/xai-tool-call.ts b/examples/ai-core/src/stream-text/xai-tool-call.ts
index d964febe2248..02afce5e0971 100644
--- a/examples/ai-core/src/stream-text/xai-tool-call.ts
+++ b/examples/ai-core/src/stream-text/xai-tool-call.ts
@@ -25,7 +25,7 @@ async function main() {
 
   for await (const delta of result.fullStream) {
     switch (delta.type) {
-      case 'text': {
+      case 'text-delta': {
         fullResponse += delta.text;
         process.stdout.write(delta.text);
         break;
diff --git a/examples/angular/.gitignore b/examples/angular/.gitignore
new file mode 100644
index 000000000000..cc7b141350ff
--- /dev/null
+++ b/examples/angular/.gitignore
@@ -0,0 +1,42 @@
+# See https://docs.github.com/get-started/getting-started-with-git/ignoring-files for more about ignoring files.
+
+# Compiled output
+/dist
+/tmp
+/out-tsc
+/bazel-out
+
+# Node
+/node_modules
+npm-debug.log
+yarn-error.log
+
+# IDEs and editors
+.idea/
+.project
+.classpath
+.c9/
+*.launch
+.settings/
+*.sublime-workspace
+
+# Visual Studio Code
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+.history/*
+
+# Miscellaneous
+/.angular/cache
+.sass-cache/
+/connect.lock
+/coverage
+/libpeerconnection.log
+testem.log
+/typings
+
+# System files
+.DS_Store
+Thumbs.db
diff --git a/examples/angular/README.md b/examples/angular/README.md
new file mode 100644
index 000000000000..ba82186d815a
--- /dev/null
+++ b/examples/angular/README.md
@@ -0,0 +1,33 @@
+# Angular AI Chat
+
+A simple chat application built with Angular that connects to OpenAI models using the AI SDK.
+
+## Setup
+
+```bash
+# Install dependencies
+pnpm install
+
+# Create .env file with your OpenAI API key
+echo "OPENAI_API_KEY=your_key_here" > .env
+
+# Start the app
+pnpm start
+```
+
+This runs both the Angular frontend (localhost:4200) and Express backend (localhost:3000) concurrently.
+
+## Tech Stack
+
+- Angular 19
+- Express.js backend
+- AI SDK (@ai-sdk/angular, @ai-sdk/openai)
+- OpenAI GPT models
+
+## Features
+
+- Real-time chat interface
+- Message streaming
+- Proxy configuration for API requests
+
+Set your preferred model in `chat.component.ts` by changing the `selectedModel` parameter.
diff --git a/examples/angular/angular.json b/examples/angular/angular.json
new file mode 100644
index 000000000000..2f71e08dcbc4
--- /dev/null
+++ b/examples/angular/angular.json
@@ -0,0 +1,102 @@
+{
+  "$schema": "./node_modules/@angular/cli/lib/config/schema.json",
+  "version": 1,
+  "newProjectRoot": "projects",
+  "projects": {
+    "chat": {
+      "projectType": "application",
+      "schematics": {
+        "@schematics/angular:component": {
+          "inlineTemplate": true,
+          "inlineStyle": true,
+          "skipTests": true
+        },
+        "@schematics/angular:class": {
+          "skipTests": true
+        },
+        "@schematics/angular:directive": {
+          "skipTests": true
+        },
+        "@schematics/angular:guard": {
+          "skipTests": true
+        },
+        "@schematics/angular:interceptor": {
+          "skipTests": true
+        },
+        "@schematics/angular:pipe": {
+          "skipTests": true
+        },
+        "@schematics/angular:resolver": {
+          "skipTests": true
+        },
+        "@schematics/angular:service": {
+          "skipTests": true
+        }
+      },
+      "root": "",
+      "sourceRoot": "src",
+      "prefix": "app",
+      "architect": {
+        "build": {
+          "builder": "@angular-devkit/build-angular:application",
+          "options": {
+            "outputPath": "dist/app",
+            "index": "src/index.html",
+            "browser": "src/main.ts",
+            "polyfills": ["zone.js"],
+            "tsConfig": "tsconfig.app.json",
+            "assets": [
+              {
+                "glob": "**/*",
+                "input": "public"
+              }
+            ],
+            "styles": ["src/styles.css"],
+            "scripts": []
+          },
+          "configurations": {
+            "production": {
+              "budgets": [
+                {
+                  "type": "initial",
+                  "maximumWarning": "1MB",
+                  "maximumError": "2MB"
+                },
+                {
+                  "type": "anyComponentStyle",
+                  "maximumWarning": "4kB",
+                  "maximumError": "8kB"
+                }
+              ],
+              "outputHashing": "all"
+            },
+            "development": {
+              "optimization": false,
+              "extractLicenses": false,
+              "sourceMap": true
+            }
+          },
+          "defaultConfiguration": "production"
+        },
+        "serve": {
+          "builder": "@angular-devkit/build-angular:dev-server",
+          "configurations": {
+            "production": {
+              "buildTarget": "chat:build:production"
+            },
+            "development": {
+              "buildTarget": "chat:build:development"
+            }
+          },
+          "defaultConfiguration": "development"
+        },
+        "extract-i18n": {
+          "builder": "@angular-devkit/build-angular:extract-i18n"
+        }
+      }
+    }
+  },
+  "cli": {
+    "analytics": false
+  }
+}
diff --git a/examples/angular/package.json b/examples/angular/package.json
new file mode 100644
index 000000000000..df9cc6a54e8b
--- /dev/null
+++ b/examples/angular/package.json
@@ -0,0 +1,43 @@
+{
+  "name": "@example/angular",
+  "version": "0.0.0",
+  "scripts": {
+    "ng": "ng",
+    "start": "concurrently 'ng serve --proxy-config proxy.conf.json' 'tsx src/server.ts'",
+    "build:app": "ng build",
+    "build:server": "tsc -p tsconfig.server.json",
+    "build": "pnpm run build:app && pnpm run build:server",
+    "watch": "ng build --watch --configuration development",
+    "clean": "rm -rf dist *.tsbuildinfo"
+  },
+  "private": true,
+  "dependencies": {
+    "@ai-sdk/angular": "workspace:*",
+    "@ai-sdk/openai": "workspace:*",
+    "@angular/common": "^19.2.0",
+    "@angular/compiler": "^19.2.0",
+    "@angular/core": "^19.2.0",
+    "@angular/forms": "^19.2.0",
+    "@angular/platform-browser": "^19.2.0",
+    "@angular/platform-browser-dynamic": "^19.2.0",
+    "@angular/router": "^19.2.0",
+    "@vercel/ai-tsconfig": "workspace:*",
+    "ai": "workspace:*",
+    "dotenv": "16.4.5",
+    "rxjs": "~7.8.0",
+    "tslib": "^2.3.0",
+    "zod": "3.25.76",
+    "zone.js": "~0.15.0",
+    "express": "5.0.1"
+  },
+  "devDependencies": {
+    "@types/express": "5.0.0",
+    "@types/node": "20.17.24",
+    "@angular-devkit/build-angular": "^19.2.11",
+    "@angular/cli": "^19.2.11",
+    "@angular/compiler-cli": "^19.2.0",
+    "concurrently": "^9.1.0",
+    "tsx": "4.19.2",
+    "typescript": "5.8.3"
+  }
+}
diff --git a/examples/angular/proxy.conf.json b/examples/angular/proxy.conf.json
new file mode 100644
index 000000000000..c85e38f5a14d
--- /dev/null
+++ b/examples/angular/proxy.conf.json
@@ -0,0 +1,8 @@
+{
+  "/api": {
+    "target": "http://localhost:3000",
+    "secure": false,
+    "changeOrigin": true
+  }
+}
+
diff --git a/examples/angular/public/favicon.ico b/examples/angular/public/favicon.ico
new file mode 100644
index 000000000000..57614f9c9675
Binary files /dev/null and b/examples/angular/public/favicon.ico differ
diff --git a/examples/angular/src/app/app.component.ts b/examples/angular/src/app/app.component.ts
new file mode 100644
index 000000000000..f84093f99885
--- /dev/null
+++ b/examples/angular/src/app/app.component.ts
@@ -0,0 +1,105 @@
+import { Component, signal } from '@angular/core';
+import { ChatComponent } from './chat/chat.component';
+import { CompletionComponent } from './completion/completion.component';
+import { StructuredObjectComponent } from './structured-object/structured-object.component';
+
+type TabType = 'chat' | 'completion' | 'structured-object';
+
+@Component({
+  selector: 'app-root',
+  standalone: true,
+  imports: [ChatComponent, CompletionComponent, StructuredObjectComponent],
+  template: `
+    <main class="container">
+      <nav class="tabs">
+        <button
+          class="tab"
+          [class.active]="activeTab() === 'chat'"
+          (click)="activeTab.set('chat')"
+        >
+          Chat
+        </button>
+        <button
+          class="tab"
+          [class.active]="activeTab() === 'completion'"
+          (click)="activeTab.set('completion')"
+        >
+          Completion
+        </button>
+        <button
+          class="tab"
+          [class.active]="activeTab() === 'structured-object'"
+          (click)="activeTab.set('structured-object')"
+        >
+          Structured Object
+        </button>
+      </nav>
+
+      <div class="content">
+        @switch (activeTab()) {
+          @case ('chat') {
+            <app-chat />
+          }
+          @case ('completion') {
+            <app-completion />
+          }
+          @case ('structured-object') {
+            <app-structured-object />
+          }
+        }
+      </div>
+    </main>
+  `,
+  styles: `
+    :host {
+      display: block;
+      height: 100vh;
+    }
+
+    .container {
+      display: flex;
+      flex-direction: column;
+      height: 100%;
+      max-width: 800px;
+      margin: 0 auto;
+      padding: 10rem;
+      box-sizing: border-box;
+    }
+
+    .tabs {
+      display: flex;
+      border-bottom: 1px solid #e1e5e9;
+      margin-bottom: 2rem;
+    }
+
+    .tab {
+      background: none;
+      border: none;
+      padding: 12px 24px;
+      font-size: 14px;
+      font-weight: 500;
+      color: #64748b;
+      cursor: pointer;
+      border-bottom: 2px solid transparent;
+      transition: all 0.2s;
+    }
+
+    .tab:hover {
+      color: #334155;
+    }
+
+    .tab.active {
+      color: #0066cc;
+      border-bottom-color: #0066cc;
+    }
+
+    .content {
+      flex: 1;
+      display: flex;
+      flex-direction: column;
+    }
+  `,
+})
+export class AppComponent {
+  activeTab = signal<TabType>('chat');
+}
diff --git a/examples/angular/src/app/app.config.ts b/examples/angular/src/app/app.config.ts
new file mode 100644
index 000000000000..fb93f472fda7
--- /dev/null
+++ b/examples/angular/src/app/app.config.ts
@@ -0,0 +1,11 @@
+import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';
+import { provideRouter } from '@angular/router';
+
+import { routes } from './app.routes';
+
+export const appConfig: ApplicationConfig = {
+  providers: [
+    provideZoneChangeDetection({ eventCoalescing: true }),
+    provideRouter(routes),
+  ],
+};
diff --git a/examples/angular/src/app/app.routes.ts b/examples/angular/src/app/app.routes.ts
new file mode 100644
index 000000000000..dc39edb5f23a
--- /dev/null
+++ b/examples/angular/src/app/app.routes.ts
@@ -0,0 +1,3 @@
+import { Routes } from '@angular/router';
+
+export const routes: Routes = [];
diff --git a/examples/angular/src/app/chat/chat.component.css b/examples/angular/src/app/chat/chat.component.css
new file mode 100644
index 000000000000..298684999262
--- /dev/null
+++ b/examples/angular/src/app/chat/chat.component.css
@@ -0,0 +1,125 @@
+:host {
+  display: block;
+  width: 100%;
+  max-width: 800px;
+  font-family: sans-serif;
+  height: 100%;
+}
+
+.chat-container {
+  display: flex;
+  flex-direction: column;
+  height: 100%;
+  border: 1px solid #ccc;
+  border-radius: 8px;
+  overflow: hidden;
+}
+
+.messages {
+  flex-grow: 1;
+  padding: 1rem;
+  overflow-y: auto;
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+  background-color: #f8f8f8;
+}
+
+.message {
+  padding: 0.75rem 1rem;
+  border-radius: 12px;
+  max-width: 80%;
+  line-height: 1.5;
+}
+
+.message.user {
+  background-color: #007bff;
+  color: white;
+  align-self: flex-end;
+  border-bottom-right-radius: 0;
+}
+
+.message.assistant {
+  background-color: #f1f1f1;
+  color: #333;
+  align-self: flex-start;
+  border-bottom-left-radius: 0;
+}
+
+.message-content {
+  white-space: pre-wrap;
+}
+
+.tool-call {
+  background-color: #e9ecef;
+  border: 1px solid #ced4da;
+  border-radius: 4px;
+  padding: 0.5rem;
+  margin: 0.5rem 0;
+}
+
+.tool-call p,
+.tool-call pre {
+  margin: 0;
+}
+
+.tool-name {
+  font-weight: bold;
+  font-size: 0.9rem;
+}
+
+.tool-status {
+  margin: 0.25rem 0 !important;
+  font-size: 0.8rem;
+  color: #6c757d;
+}
+
+.tool-input,
+.tool-result {
+  white-space: pre-wrap;
+  overflow-wrap: break-word;
+  font-size: 0.85rem;
+  font-family: monospace;
+}
+
+.tool-result-container {
+  margin-top: 0.5rem;
+  padding-top: 0.5rem;
+  border-top: 1px solid #ced4da;
+}
+
+.tool-result-title {
+  font-weight: bold;
+  font-size: 0.8rem;
+}
+
+.input-form {
+  display: flex;
+  padding: 1rem;
+  border-top: 1px solid #ccc;
+  background-color: #f8f9fa;
+}
+
+.input-form input {
+  flex-grow: 1;
+  padding: 0.75rem;
+  border: 1px solid #ccc;
+  border-radius: 16px;
+  margin-right: 0.5rem;
+  font-size: 1rem;
+}
+
+.input-form button {
+  padding: 0.75rem 1.5rem;
+  border: none;
+  background-color: #007bff;
+  color: white;
+  border-radius: 16px;
+  cursor: pointer;
+  font-size: 1rem;
+}
+
+.input-form button:disabled {
+  background-color: #a0cfff;
+  cursor: not-allowed;
+}
diff --git a/examples/angular/src/app/chat/chat.component.html b/examples/angular/src/app/chat/chat.component.html
new file mode 100644
index 000000000000..24bc5b5cc6f0
--- /dev/null
+++ b/examples/angular/src/app/chat/chat.component.html
@@ -0,0 +1,49 @@
+<div class="chat-container">
+  <div class="messages">
+    @for (message of chat.messages; track message.id) {
+      <div class="message" [ngClass]="message.role">
+        @for (part of message.parts; track $index) {
+          @switch (part.type) {
+            @case ('text') {
+              <div style="white-space: pre-wrap">
+                {{ part.text }}
+                @if (part.state === 'streaming') {
+                  <span class="typing-cursor">&#9646;</span>
+                }
+              </div>
+            }
+            @case ('reasoning') {
+              <details>
+                <summary>Reasoning</summary>
+                <div
+                  style="white-space: pre-wrap; font-size: 90%; opacity: 80%"
+                >
+                  <div>{{ part.text }}</div>
+                </div>
+              </details>
+            }
+            @default {
+              <code>{{ part | json }}</code>
+            }
+          }
+        }
+      </div>
+    }
+    @if (this.chat.status === 'submitted') {
+      <div>
+        <em>Waiting...</em>
+      </div>
+    }
+  </div>
+
+  <form class="input-form" [formGroup]="chatForm" (ngSubmit)="sendMessage()">
+    <input formControlName="userInput" placeholder="Type your message..." />
+    @if (chat.status === 'ready') {
+      <button type="submit" [disabled]="!chatForm.valid">Send</button>
+    } @else {
+      <button [disabled]="chat.status === 'error'" (click)="chat.stop()">
+        Stop
+      </button>
+    }
+  </form>
+</div>
diff --git a/examples/angular/src/app/chat/chat.component.ts b/examples/angular/src/app/chat/chat.component.ts
new file mode 100644
index 000000000000..d58b08d3111f
--- /dev/null
+++ b/examples/angular/src/app/chat/chat.component.ts
@@ -0,0 +1,49 @@
+import { Component, inject } from '@angular/core';
+import { CommonModule } from '@angular/common';
+import {
+  FormBuilder,
+  FormGroup,
+  ReactiveFormsModule,
+  Validators,
+} from '@angular/forms';
+import { Chat } from '@ai-sdk/angular';
+
+@Component({
+  selector: 'app-chat',
+  standalone: true,
+  imports: [CommonModule, ReactiveFormsModule],
+  templateUrl: './chat.component.html',
+  styleUrl: './chat.component.css',
+})
+export class ChatComponent {
+  private fb = inject(FormBuilder);
+  public chat: Chat = new Chat({});
+
+  chatForm: FormGroup;
+
+  constructor() {
+    this.chatForm = this.fb.group({
+      userInput: ['', Validators.required],
+    });
+  }
+
+  sendMessage() {
+    if (this.chatForm.invalid) {
+      return;
+    }
+
+    const userInput = this.chatForm.value.userInput;
+    this.chatForm.reset();
+
+    this.chat.sendMessage(
+      {
+        text: userInput,
+      },
+      {
+        body: {
+          selectedModel: 'gpt-4.1',
+        },
+      },
+    );
+  }
+}
diff --git a/examples/angular/src/app/completion/completion.component.css b/examples/angular/src/app/completion/completion.component.css
new file mode 100644
index 000000000000..4895303e1d45
--- /dev/null
+++ b/examples/angular/src/app/completion/completion.component.css
@@ -0,0 +1,103 @@
+:host {
+  width: 100%;
+  margin: 0 auto;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+}
+
+.input-section {
+  margin-bottom: 24px;
+}
+
+.prompt-input {
+  box-sizing: border-box;
+  width: 100%;
+  padding: 12px;
+  border: 1px solid #e1e5e9;
+  border-radius: 8px;
+  font-size: 14px;
+  font-family: inherit;
+  resize: vertical;
+  margin-bottom: 12px;
+}
+
+.prompt-input:focus {
+  outline: none;
+  border-color: #0066cc;
+  box-shadow: 0 0 0 3px rgba(0, 102, 204, 0.1);
+}
+
+.button-group {
+  display: flex;
+  gap: 8px;
+}
+
+.generate-btn {
+  background: #0066cc;
+  color: white;
+  border: none;
+  padding: 10px 16px;
+  border-radius: 6px;
+  font-size: 14px;
+  cursor: pointer;
+  transition: background-color 0.2s;
+}
+
+.generate-btn:hover:not(:disabled) {
+  background: #0052a3;
+}
+
+.generate-btn:disabled {
+  background: #94a3b8;
+  cursor: not-allowed;
+}
+
+.stop-btn {
+  background: #ef4444;
+  color: white;
+  border: none;
+  padding: 10px 16px;
+  border-radius: 6px;
+  font-size: 14px;
+  cursor: pointer;
+  transition: background-color 0.2s;
+}
+
+.stop-btn:hover {
+  background: #dc2626;
+}
+
+.result-section {
+  background: #f8fafc;
+  border: 1px solid #e1e5e9;
+  border-radius: 8px;
+  padding: 16px;
+  margin-top: 16px;
+}
+
+.result-section h4 {
+  margin: 0 0 12px 0;
+  color: #374151;
+  font-size: 16px;
+}
+
+.result-text {
+  margin: 0;
+  background: white;
+  padding: 12px;
+  border-radius: 4px;
+  border: 1px solid #e1e5e9;
+  white-space: pre-wrap;
+  font-family: 'SF Mono', Monaco, 'Cascadia Code', monospace;
+  font-size: 13px;
+  line-height: 1.5;
+  color: #1f2937;
+}
+
+.error {
+  background: #fef2f2;
+  border: 1px solid #fecaca;
+  color: #dc2626;
+  padding: 12px;
+  border-radius: 6px;
+  font-size: 14px;
+}
diff --git a/examples/angular/src/app/completion/completion.component.ts b/examples/angular/src/app/completion/completion.component.ts
new file mode 100644
index 000000000000..da4b315be1d6
--- /dev/null
+++ b/examples/angular/src/app/completion/completion.component.ts
@@ -0,0 +1,57 @@
+import { Component } from '@angular/core';
+import { Completion } from '@ai-sdk/angular';
+import { FormsModule } from '@angular/forms';
+
+@Component({
+  selector: 'app-completion',
+  standalone: true,
+  imports: [FormsModule],
+  template: `
+    <div class="container">
+      <div class="input-section">
+        <textarea
+          [(ngModel)]="completion.input"
+          name="prompt"
+          placeholder="Enter your prompt..."
+          rows="4"
+          class="prompt-input"
+        ></textarea>
+
+        <div class="button-group">
+          <button
+            (click)="completion.complete(completion.input)"
+            [disabled]="completion.loading"
+            class="generate-btn"
+          >
+            {{ completion.loading ? 'Generating...' : 'Generate' }}
+          </button>
+
+          @if (completion.loading) {
+            <button (click)="completion.stop()" class="stop-btn">Stop</button>
+          }
+        </div>
+      </div>
+
+      @if (completion.completion) {
+        <div class="result-section">
+          <h4>Result:</h4>
+          <pre class="result-text">{{ completion.completion }}</pre>
+        </div>
+      }
+
+      @if (completion.error) {
+        <div class="error">{{ completion.error.message }}</div>
+      }
+    </div>
+  `,
+  styleUrl: './completion.component.css',
+})
+export class CompletionComponent {
+  public completion = new Completion({
+    api: '/api/completion',
+    streamProtocol: 'text',
+    onFinish: (prompt, completion) => {
+      console.log('Completed:', { prompt, completion });
+    },
+  });
+}
diff --git a/examples/angular/src/app/structured-object/structured-object.component.css b/examples/angular/src/app/structured-object/structured-object.component.css
new file mode 100644
index 000000000000..4895303e1d45
--- /dev/null
+++ b/examples/angular/src/app/structured-object/structured-object.component.css
@@ -0,0 +1,103 @@
+:host {
+  width: 100%;
+  margin: 0 auto;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+}
+
+.input-section {
+  margin-bottom: 24px;
+}
+
+.prompt-input {
+  box-sizing: border-box;
+  width: 100%;
+  padding: 12px;
+  border: 1px solid #e1e5e9;
+  border-radius: 8px;
+  font-size: 14px;
+  font-family: inherit;
+  resize: vertical;
+  margin-bottom: 12px;
+}
+
+.prompt-input:focus {
+  outline: none;
+  border-color: #0066cc;
+  box-shadow: 0 0 0 3px rgba(0, 102, 204, 0.1);
+}
+
+.button-group {
+  display: flex;
+  gap: 8px;
+}
+
+.generate-btn {
+  background: #0066cc;
+  color: white;
+  border: none;
+  padding: 10px 16px;
+  border-radius: 6px;
+  font-size: 14px;
+  cursor: pointer;
+  transition: background-color 0.2s;
+}
+
+.generate-btn:hover:not(:disabled) {
+  background: #0052a3;
+}
+
+.generate-btn:disabled {
+  background: #94a3b8;
+  cursor: not-allowed;
+}
+
+.stop-btn {
+  background: #ef4444;
+  color: white;
+  border: none;
+  padding: 10px 16px;
+  border-radius: 6px;
+  font-size: 14px;
+  cursor: pointer;
+  transition: background-color 0.2s;
+}
+
+.stop-btn:hover {
+  background: #dc2626;
+}
+
+.result-section {
+  background: #f8fafc;
+  border: 1px solid #e1e5e9;
+  border-radius: 8px;
+  padding: 16px;
+  margin-top: 16px;
+}
+
+.result-section h4 {
+  margin: 0 0 12px 0;
+  color: #374151;
+  font-size: 16px;
+}
+
+.result-text {
+  margin: 0;
+  background: white;
+  padding: 12px;
+  border-radius: 4px;
+  border: 1px solid #e1e5e9;
+  white-space: pre-wrap;
+  font-family: 'SF Mono', Monaco, 'Cascadia Code', monospace;
+  font-size: 13px;
+  line-height: 1.5;
+  color: #1f2937;
+}
+
+.error {
+  background: #fef2f2;
+  border: 1px solid #fecaca;
+  color: #dc2626;
+  padding: 12px;
+  border-radius: 6px;
+  font-size: 14px;
+}
diff --git a/examples/angular/src/app/structured-object/structured-object.component.ts b/examples/angular/src/app/structured-object/structured-object.component.ts
new file mode 100644
index 000000000000..c8236ade3c6b
--- /dev/null
+++ b/examples/angular/src/app/structured-object/structured-object.component.ts
@@ -0,0 +1,84 @@
+import { Component } from '@angular/core';
+import { StructuredObject } from '@ai-sdk/angular';
+import { z } from 'zod';
+import { FormsModule } from '@angular/forms';
+
+const schema = z.object({
+  title: z.string(),
+  summary: z.string(),
+  tags: z.array(z.string()),
+  sentiment: z.enum(['positive', 'negative', 'neutral']),
+});
+
+@Component({
+  selector: 'app-structured-object',
+  standalone: true,
+  imports: [FormsModule],
+  template: `
+    <div>
+      <textarea
+        [(ngModel)]="input"
+        name="content"
+        placeholder="Enter content to analyze..."
+        rows="4"
+        class="prompt-input"
+      >
+      </textarea>
+
+      <button
+        (click)="analyze()"
+        [disabled]="structuredObject.loading"
+        class="generate-btn"
+      >
+        {{ structuredObject.loading ? 'Analyzing...' : 'Analyze' }}
+      </button>
+
+      @if (structuredObject.object) {
+        <div class="result-section">
+          <h4>Analysis:</h4>
+          <div class="result-text">
+            <div>
+              <strong>Title:</strong> {{ structuredObject.object.title }}
+            </div>
+            <div>
+              <strong>Summary:</strong> {{ structuredObject.object.summary }}
+            </div>
+            <div>
+              <strong>Tags:</strong>
+              {{ structuredObject.object.tags?.join(', ') }}
+            </div>
+            <div>
+              <strong>Sentiment:</strong>
+              {{ structuredObject.object.sentiment }}
+            </div>
+          </div>
+        </div>
+      }
+
+      @if (structuredObject.error) {
+        <div class="error">{{ structuredObject.error.message }}</div>
+      }
+    </div>
+  `,
+  styleUrl: './structured-object.component.css',
+})
+export class StructuredObjectComponent {
+  input = '';
+
+  structuredObject = new StructuredObject({
+    api: '/api/analyze',
+    schema,
+    onFinish: ({ object, error }) => {
+      if (error) {
+        console.error('Schema validation failed:', error);
+      } else {
+        console.log('Generated object:', object);
+      }
+    },
+  });
+
+  async analyze() {
+    if (!this.input.trim()) return;
+    await this.structuredObject.submit(this.input);
+  }
+}
diff --git a/examples/angular/src/index.html b/examples/angular/src/index.html
new file mode 100644
index 000000000000..35ec89744b14
--- /dev/null
+++ b/examples/angular/src/index.html
@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+<head>
+  <meta charset="utf-8">
+  <title>Chat</title>
+  <base href="/">
+  <meta name="viewport" content="width=device-width, initial-scale=1">
+  <link rel="icon" type="image/x-icon" href="favicon.ico">
+</head>
+<body>
+  <app-root></app-root>
+</body>
+</html>
diff --git a/examples/angular/src/main.ts b/examples/angular/src/main.ts
new file mode 100644
index 000000000000..7180ec1a32f4
--- /dev/null
+++ b/examples/angular/src/main.ts
@@ -0,0 +1,5 @@
+import { bootstrapApplication } from '@angular/platform-browser';
+import { appConfig } from './app/app.config';
+import { AppComponent } from './app/app.component';
+
+bootstrapApplication(AppComponent, appConfig).catch(err => console.error(err));
diff --git a/examples/angular/src/server.ts b/examples/angular/src/server.ts
new file mode 100644
index 000000000000..1a2b259ef119
--- /dev/null
+++ b/examples/angular/src/server.ts
@@ -0,0 +1,50 @@
+import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamObject, streamText } from 'ai';
+import 'dotenv/config';
+import express, { Request, Response } from 'express';
+import z from 'zod';
+
+const app = express();
+app.use(express.json({ strict: false })); // Allow primitives (for analyze endpoint)
+
+app.post('/api/chat', async (req: Request, res: Response) => {
+  const { messages, selectedModel } = req.body;
+  const result = streamText({
+    model: openai(selectedModel),
+    messages: convertToModelMessages(messages),
+  });
+
+  result.pipeUIMessageStreamToResponse(res);
+});
+
+app.post('/api/completion', async (req: Request, res: Response) => {
+  const { prompt } = req.body;
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    prompt,
+  });
+
+  result.pipeTextStreamToResponse(res);
+});
+
+app.post('/api/analyze', express.raw(), async (req: Request, res: Response) => {
+  const input = req.body.toString('utf8');
+
+  const result = streamObject({
+    model: openai('gpt-4o'),
+    schema: z.object({
+      title: z.string(),
+      summary: z.string(),
+      tags: z.array(z.string()),
+      sentiment: z.enum(['positive', 'negative', 'neutral']),
+    }),
+    prompt: `Analyze this content: ${input}`,
+  });
+
+  result.pipeTextStreamToResponse(res);
+});
+
+app.listen(3000, () => {
+  console.log(`Example app listening on port ${3000}`);
+});
diff --git a/examples/angular/src/styles.css b/examples/angular/src/styles.css
new file mode 100644
index 000000000000..44a6857d6631
--- /dev/null
+++ b/examples/angular/src/styles.css
@@ -0,0 +1,9 @@
+/* You can add global styles to this file, and also import other style files */
+
+body {
+  margin: 0;
+  font-family:
+    -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue',
+    Arial, sans-serif;
+  background-color: #f4f4f5;
+}
diff --git a/examples/angular/tsconfig.app.json b/examples/angular/tsconfig.app.json
new file mode 100644
index 000000000000..ac14c695e232
--- /dev/null
+++ b/examples/angular/tsconfig.app.json
@@ -0,0 +1,34 @@
+{
+  "compileOnSave": false,
+  "compilerOptions": {
+    "rootDir": "src",
+    "outDir": "./dist/out-tsc",
+    "strict": true,
+    "noImplicitOverride": true,
+    "noPropertyAccessFromIndexSignature": true,
+    "noImplicitReturns": true,
+    "noFallthroughCasesInSwitch": true,
+    "skipLibCheck": true,
+    "isolatedModules": true,
+    "esModuleInterop": true,
+    "experimentalDecorators": true,
+    "moduleResolution": "bundler",
+    "importHelpers": true,
+    "module": "esnext",
+    "target": "esnext",
+    "useDefineForClassFields": false
+  },
+  "angularCompilerOptions": {
+    "enableI18nLegacyMessageIdFormat": false,
+    "strictInjectionParameters": true,
+    "strictInputAccessModifiers": true,
+    "strictTemplates": true
+  },
+  "include": ["src/**/*"],
+  "exclude": ["src/server.ts"],
+  "references": [
+    {
+      "path": "../../packages/angular"
+    }
+  ]
+}
diff --git a/examples/angular/tsconfig.json b/examples/angular/tsconfig.json
new file mode 100644
index 000000000000..e12bd422162d
--- /dev/null
+++ b/examples/angular/tsconfig.json
@@ -0,0 +1,7 @@
+{
+  "files": [],
+  "references": [
+    { "path": "./tsconfig.app.json" },
+    { "path": "./tsconfig.server.json" }
+  ]
+}
diff --git a/examples/angular/tsconfig.server.json b/examples/angular/tsconfig.server.json
new file mode 100644
index 000000000000..6fbf7da2c5b6
--- /dev/null
+++ b/examples/angular/tsconfig.server.json
@@ -0,0 +1,27 @@
+{
+  "compilerOptions": {
+    "strict": true,
+    "declaration": true,
+    "sourceMap": true,
+    "target": "es2022",
+    "lib": ["es2022", "dom"],
+    "module": "esnext",
+    "types": ["node"],
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "moduleResolution": "Bundler",
+    "rootDir": "./src",
+    "outDir": "./dist",
+    "skipLibCheck": true,
+    "composite": true
+  },
+  "include": ["src/server.ts"],
+  "references": [
+    {
+      "path": "../../packages/ai"
+    },
+    {
+      "path": "../../packages/openai"
+    }
+  ]
+}
diff --git a/examples/hono/package.json b/examples/hono/package.json
index 9939d7172e9a..757994a86274 100644
--- a/examples/hono/package.json
+++ b/examples/hono/package.json
@@ -11,6 +11,7 @@
   },
   "scripts": {
     "dev": "tsx watch src/server.ts",
+    "dev:streaming": "tsx watch src/hono-streaming.ts",
     "curl": "curl -i -X POST http://localhost:8080",
     "type-check": "tsc --build"
   },
diff --git a/examples/hono/src/hono-streaming.ts b/examples/hono/src/hono-streaming.ts
new file mode 100644
index 000000000000..9b23689a3c56
--- /dev/null
+++ b/examples/hono/src/hono-streaming.ts
@@ -0,0 +1,48 @@
+import { openai } from '@ai-sdk/openai';
+import { streamText } from 'ai';
+import 'dotenv/config';
+import { Hono } from 'hono';
+import { serve } from '@hono/node-server';
+
+async function main() {
+  console.log('=== Hono Streaming Example ===');
+
+  const app = new Hono();
+
+  // Basic UI Message Stream endpoint
+  app.post('/chat', async c => {
+    const result = streamText({
+      model: openai('gpt-4o'),
+      prompt: 'Invent a new holiday and describe its traditions.',
+    });
+
+    return result.toUIMessageStreamResponse();
+  });
+
+  // Text stream endpoint
+  app.post('/text', async c => {
+    const result = streamText({
+      model: openai('gpt-4o'),
+      prompt: 'Write a short poem about coding.',
+    });
+
+    c.header('Content-Type', 'text/plain; charset=utf-8');
+
+    return new Response(result.textStream, {
+      headers: c.res.headers,
+    });
+  });
+
+  app.get('/health', c => c.text('Hono streaming server is running!'));
+
+  const port = 3001;
+  console.log(`Server starting on http://localhost:${port}`);
+  console.log('Test with: curl -X POST http://localhost:3001/chat');
+
+  serve({
+    fetch: app.fetch,
+    port,
+  });
+}
+
+main().catch(console.error);
diff --git a/examples/mcp/package.json b/examples/mcp/package.json
index 081ff1782baa..a524f258f74f 100644
--- a/examples/mcp/package.json
+++ b/examples/mcp/package.json
@@ -19,7 +19,7 @@
     "ai": "workspace:*",
     "dotenv": "16.4.5",
     "express": "5.0.1",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/express": "5.0.0",
diff --git a/examples/next-openai-pages/package.json b/examples/next-openai-pages/package.json
index 0393457764c8..f4f22f337f8c 100644
--- a/examples/next-openai-pages/package.json
+++ b/examples/next-openai-pages/package.json
@@ -15,7 +15,7 @@
     "next": "latest",
     "react": "^18",
     "react-dom": "^18",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/node": "20.17.24",
diff --git a/examples/next-openai-pages/pages/tools/call-tool/index.tsx b/examples/next-openai-pages/pages/tools/call-tool/index.tsx
index 46a82ebf21d6..bac0852d2791 100644
--- a/examples/next-openai-pages/pages/tools/call-tool/index.tsx
+++ b/examples/next-openai-pages/pages/tools/call-tool/index.tsx
@@ -6,7 +6,6 @@ export default function Page() {
   const [input, setInput] = useState('');
   const { messages, sendMessage } = useChat({
     transport: new DefaultChatTransport({ api: '/api/call-tool' }),
-    maxSteps: 2,
   });
 
   return (
@@ -33,13 +32,13 @@ export default function Page() {
           sendMessage({ text: input });
           setInput('');
         }}
-        className="fixed bottom-0 w-full p-2"
+        className="fixed bottom-0 p-2 w-full"
       >
         <input
           value={input}
           placeholder="Send message..."
           onChange={e => setInput(e.target.value)}
-          className="w-full p-2 bg-zinc-100"
+          className="p-2 w-full bg-zinc-100"
         />
       </form>
     </div>
diff --git a/examples/next-openai-telemetry-sentry/package.json b/examples/next-openai-telemetry-sentry/package.json
index 51a501306a37..c2b02fe568d8 100644
--- a/examples/next-openai-telemetry-sentry/package.json
+++ b/examples/next-openai-telemetry-sentry/package.json
@@ -21,7 +21,7 @@
     "next": "latest",
     "react": "^18",
     "react-dom": "^18",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/node": "20.17.24",
diff --git a/examples/next-openai-telemetry/package.json b/examples/next-openai-telemetry/package.json
index a25a877aa7c7..03847a022626 100644
--- a/examples/next-openai-telemetry/package.json
+++ b/examples/next-openai-telemetry/package.json
@@ -19,7 +19,7 @@
     "next": "latest",
     "react": "^18",
     "react-dom": "^18",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/node": "20.17.24",
diff --git a/examples/next-openai/app/api/chat-openai-file-search/route.ts b/examples/next-openai/app/api/chat-openai-file-search/route.ts
index 90404f0d6eb5..5ee5437b3cc3 100644
--- a/examples/next-openai/app/api/chat-openai-file-search/route.ts
+++ b/examples/next-openai/app/api/chat-openai-file-search/route.ts
@@ -24,9 +24,12 @@ export async function POST(req: Request) {
     model: openai.responses('gpt-4o-mini'),
     tools: {
       file_search: openai.tools.fileSearch({
-        maxResults: 10,
-        searchType: 'semantic',
+        maxNumResults: 10,
+        ranking: {
+          ranker: 'semantic',
+        },
         // vectorStoreIds: ['vs_123'], // optional: specify vector store IDs
+        // filters: { key: 'category', type: 'eq', value: 'technical' }, // optional: filter results
       }),
     },
     messages: convertToModelMessages(messages),
diff --git a/examples/next-openai/app/api/chat/route.ts b/examples/next-openai/app/api/chat/route.ts
index b98ba8623d67..3fbd3d14ccff 100644
--- a/examples/next-openai/app/api/chat/route.ts
+++ b/examples/next-openai/app/api/chat/route.ts
@@ -1,5 +1,10 @@
 import { openai } from '@ai-sdk/openai';
-import { convertToModelMessages, streamText, UIMessage } from 'ai';
+import {
+  consumeStream,
+  convertToModelMessages,
+  streamText,
+  UIMessage,
+} from 'ai';
 
 export const maxDuration = 30;
 
@@ -11,7 +16,15 @@ export async function POST(req: Request) {
   const result = streamText({
     model: openai('gpt-4o'),
     prompt,
+    abortSignal: req.signal,
   });
 
-  return result.toUIMessageStreamResponse();
+  return result.toUIMessageStreamResponse({
+    onFinish: async ({ isAborted }) => {
+      if (isAborted) {
+        console.log('Aborted');
+      }
+    },
+    consumeSseStream: consumeStream, // needed for correct abort handling
+  });
 }
diff --git a/examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts.broken b/examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts
similarity index 80%
rename from examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts.broken
rename to examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts
index 96cf1b920353..79c3faed7233 100644
--- a/examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts.broken
+++ b/examples/next-openai/app/api/use-chat-human-in-the-loop/route.ts
@@ -1,19 +1,21 @@
 import { openai } from '@ai-sdk/openai';
 import {
   createUIMessageStreamResponse,
-  UIMessage,
   streamText,
   createUIMessageStream,
   convertToModelMessages,
+  stepCountIs,
 } from 'ai';
 import { processToolCalls } from './utils';
 import { tools } from './tools';
+import { HumanInTheLoopUIMessage } from './types';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  const { messages }: { messages: UIMessage[] } = await req.json();
+  const { messages }: { messages: HumanInTheLoopUIMessage[] } =
+    await req.json();
 
   const stream = createUIMessageStream({
     execute: async ({ writer }) => {
@@ -22,7 +24,7 @@ export async function POST(req: Request) {
       const processedMessages = await processToolCalls(
         {
           messages,
-          dataStream: writer,
+          writer,
           tools,
         },
         {
@@ -40,9 +42,12 @@ export async function POST(req: Request) {
         model: openai('gpt-4o'),
         messages: convertToModelMessages(processedMessages),
         tools,
+        stopWhen: stepCountIs(5),
       });
 
-      writer.merge(result.toUIMessageStream());
+      writer.merge(
+        result.toUIMessageStream({ originalMessages: processedMessages }),
+      );
     },
   });
 
diff --git a/examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts.broken b/examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts
similarity index 84%
rename from examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts.broken
rename to examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts
index d08afd7be9cf..278a465df192 100644
--- a/examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts.broken
+++ b/examples/next-openai/app/api/use-chat-human-in-the-loop/tools.ts
@@ -1,9 +1,10 @@
-import { tool } from 'ai';
+import { tool, ToolSet } from 'ai';
 import { z } from 'zod';
 
 const getWeatherInformation = tool({
   description: 'show the weather in a given city to the user',
   inputSchema: z.object({ city: z.string() }),
+  outputSchema: z.string(), // must define outputSchema
   // no execute function, we want human in the loop
 });
 
@@ -20,4 +21,4 @@ const getLocalTime = tool({
 export const tools = {
   getWeatherInformation,
   getLocalTime,
-};
+} satisfies ToolSet;
diff --git a/examples/next-openai/app/api/use-chat-human-in-the-loop/types.ts b/examples/next-openai/app/api/use-chat-human-in-the-loop/types.ts
new file mode 100644
index 000000000000..25aa5d908490
--- /dev/null
+++ b/examples/next-openai/app/api/use-chat-human-in-the-loop/types.ts
@@ -0,0 +1,11 @@
+import { InferUITools, UIDataTypes, UIMessage } from 'ai';
+import { tools } from './tools';
+
+export type MyTools = InferUITools<typeof tools>;
+
+// Define custom message type with data part schemas
+export type HumanInTheLoopUIMessage = UIMessage<
+  never, // metadata type
+  UIDataTypes,
+  MyTools
+>;
diff --git a/examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts.broken b/examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts
similarity index 75%
rename from examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts.broken
rename to examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts
index 975d7ab001e1..abaf8e3c5937 100644
--- a/examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts.broken
+++ b/examples/next-openai/app/api/use-chat-human-in-the-loop/utils.ts
@@ -3,9 +3,11 @@ import {
   Tool,
   ToolCallOptions,
   ToolSet,
-  UIMessage,
   UIMessageStreamWriter,
+  getToolName,
+  isToolUIPart,
 } from 'ai';
+import { HumanInTheLoopUIMessage } from './types';
 
 // Approval string to be shared across frontend and backend
 export const APPROVAL = {
@@ -25,7 +27,7 @@ function isValidToolName<K extends PropertyKey, T extends object>(
  *
  * @param options - The function options
  * @param options.tools - Map of tool names to Tool instances that may expose execute functions
- * @param options.dataStream - Data stream for sending results back to the client
+ * @param options.writer - UIMessageStream writer for sending results back to the client
  * @param options.messages - Array of messages to process
  * @param executionFunctions - Map of tool names to execute functions
  * @returns Promise resolving to the processed messages
@@ -39,12 +41,12 @@ export async function processToolCalls<
   },
 >(
   {
-    dataStream,
+    writer,
     messages,
   }: {
     tools: Tools; // used for type inference
-    dataStream: UIMessageStreamWriter;
-    messages: UIMessage[];
+    writer: UIMessageStreamWriter;
+    messages: HumanInTheLoopUIMessage[]; // IMPORTANT: replace with your message type
   },
   executeFunctions: {
     [K in keyof Tools & keyof ExecutableTools]?: (
@@ -52,7 +54,7 @@ export async function processToolCalls<
       context: ToolCallOptions,
     ) => Promise<any>;
   },
-): Promise<UIMessage[]> {
+): Promise<HumanInTheLoopUIMessage[]> {
   const lastMessage = messages[messages.length - 1];
   const parts = lastMessage.parts;
   if (!parts) return messages;
@@ -60,36 +62,35 @@ export async function processToolCalls<
   const processedParts = await Promise.all(
     parts.map(async part => {
       // Only process tool invocations parts
-      if (part.type !== 'tool-invocation') return part;
+      if (!isToolUIPart(part)) return part;
 
-      const { toolInvocation } = part;
-      const toolName = toolInvocation.toolName;
+      const toolName = getToolName(part);
 
       // Only continue if we have an execute function for the tool (meaning it requires confirmation) and it's in a 'result' state
-      if (!(toolName in executeFunctions) || toolInvocation.state !== 'result')
+      if (!(toolName in executeFunctions) || part.state !== 'output-available')
         return part;
 
       let result;
 
-      if (toolInvocation.result === APPROVAL.YES) {
+      if (part.output === APPROVAL.YES) {
         // Get the tool and check if the tool has an execute function.
         if (
           !isValidToolName(toolName, executeFunctions) ||
-          toolInvocation.state !== 'result'
+          part.state !== 'output-available'
         ) {
           return part;
         }
 
-        const toolInstance = executeFunctions[toolName];
+        const toolInstance = executeFunctions[toolName] as Tool['execute'];
         if (toolInstance) {
-          result = await toolInstance(toolInvocation.args, {
+          result = await toolInstance(part.input, {
             messages: convertToModelMessages(messages),
-            toolCallId: toolInvocation.toolCallId,
+            toolCallId: part.toolCallId,
           });
         } else {
           result = 'Error: No execute function found on tool';
         }
-      } else if (toolInvocation.result === APPROVAL.NO) {
+      } else if (part.output === APPROVAL.NO) {
         result = 'Error: User denied access to tool execution';
       } else {
         // For any unhandled responses, return the original part.
@@ -97,19 +98,16 @@ export async function processToolCalls<
       }
 
       // Forward updated tool result to the client.
-      dataStream.write({
-        type: 'tool-result',
-        toolCallId: toolInvocation.toolCallId,
-        result,
+      writer.write({
+        type: 'tool-output-available',
+        toolCallId: part.toolCallId,
+        output: result,
       });
 
       // Return updated toolInvocation with the actual result.
       return {
         ...part,
-        toolInvocation: {
-          ...toolInvocation,
-          result,
-        },
+        output: result,
       };
     }),
   );
diff --git a/examples/next-openai/app/api/use-chat-reasoning-tools/route.ts b/examples/next-openai/app/api/use-chat-reasoning-tools/route.ts
index ecb983eccdb5..e92782098284 100644
--- a/examples/next-openai/app/api/use-chat-reasoning-tools/route.ts
+++ b/examples/next-openai/app/api/use-chat-reasoning-tools/route.ts
@@ -1,29 +1,14 @@
-import { createAnthropic, AnthropicProviderOptions } from '@ai-sdk/anthropic';
-import { fireworks } from '@ai-sdk/fireworks';
+import { openai } from '@ai-sdk/openai';
 import {
   convertToModelMessages,
-  extractReasoningMiddleware,
   stepCountIs,
   streamText,
   tool,
   UIDataTypes,
   UIMessage,
-  wrapLanguageModel,
 } from 'ai';
 import { z } from 'zod/v4';
 
-const anthropic = createAnthropic({
-  // example fetch wrapper that logs the input to the API call:
-  fetch: async (url, options) => {
-    console.log('URL', url);
-    console.log('Headers', JSON.stringify(options!.headers, null, 2));
-    console.log(
-      `Body ${JSON.stringify(JSON.parse(options!.body! as string), null, 2)}`,
-    );
-    return await fetch(url, options);
-  },
-});
-
 export type ReasoningToolsMessage = UIMessage<
   never, // could define metadata here
   UIDataTypes, // could define data parts here
@@ -52,10 +37,7 @@ export async function POST(req: Request) {
   console.log(JSON.stringify(messages, null, 2));
 
   const result = streamText({
-    model: wrapLanguageModel({
-      model: fireworks('accounts/fireworks/models/qwen3-30b-a3b'),
-      middleware: extractReasoningMiddleware({ tagName: 'think' }),
-    }),
+    model: openai('o3'),
     messages: convertToModelMessages(messages),
     stopWhen: stepCountIs(5), // multi-steps for server-side tools
     tools: {
diff --git a/examples/next-openai/app/api/use-chat-resume/[id]/stream/route.ts b/examples/next-openai/app/api/use-chat-resume/[id]/stream/route.ts
index 3b618d35872e..d000cdded6fa 100644
--- a/examples/next-openai/app/api/use-chat-resume/[id]/stream/route.ts
+++ b/examples/next-openai/app/api/use-chat-resume/[id]/stream/route.ts
@@ -19,26 +19,25 @@ export async function GET(
   const streamIds = await loadStreams(id);
 
   if (!streamIds.length) {
-    return new Response('No streams found', { status: 204 });
+    return new Response(null, { status: 204 });
   }
 
   const recentStreamId = streamIds.at(-1);
 
   if (!recentStreamId) {
-    return new Response('No recent stream found', { status: 204 });
+    return new Response(null, { status: 204 });
   }
 
-  const emptyDataStream = createUIMessageStream({
-    execute: () => {},
-  });
-
   const streamContext = createResumableStreamContext({
     waitUntil: after,
   });
 
-  return new Response(
-    await streamContext.resumableStream(recentStreamId, () =>
-      emptyDataStream.pipeThrough(new JsonToSseTransformStream()),
-    ),
-  );
+  const resumedStream =
+    await streamContext.resumeExistingStream(recentStreamId);
+
+  if (!resumedStream) {
+    return new Response(null, { status: 204 });
+  }
+
+  return new Response(resumedStream);
 }
diff --git a/examples/next-openai/app/api/use-chat-resume/route.ts b/examples/next-openai/app/api/use-chat-resume/route.ts
index f5b0222f2f73..1dea579be3d1 100644
--- a/examples/next-openai/app/api/use-chat-resume/route.ts
+++ b/examples/next-openai/app/api/use-chat-resume/route.ts
@@ -19,10 +19,6 @@ import { createResumableStreamContext } from 'resumable-stream';
 export const maxDuration = 30;
 
 export async function POST(req: Request) {
-  const streamContext = createResumableStreamContext({
-    waitUntil: after,
-  });
-
   const { chatId, messages }: { chatId: string; messages: UIMessage[] } =
     await req.json();
 
@@ -37,29 +33,22 @@ export async function POST(req: Request) {
   }
 
   await appendMessageToChat({ chatId, message: recentUserMessage });
-
   await appendStreamId({ chatId, streamId });
 
-  const stream = createUIMessageStream({
-    execute: ({ writer }) => {
-      const result = streamText({
-        model: openai('gpt-4o'),
-        messages: convertToModelMessages(messages),
-      });
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+  });
 
-      writer.merge(
-        result.toUIMessageStream({
-          onFinish: ({ messages }) => {
-            saveChat({ chatId, messages });
-          },
-        }),
-      );
+  return result.toUIMessageStreamResponse({
+    originalMessages: messages,
+    onFinish: ({ messages }) => {
+      saveChat({ chatId, messages });
+    },
+    async consumeSseStream({ stream }) {
+      // send the sse stream into a resumable stream sink as well:
+      const streamContext = createResumableStreamContext({ waitUntil: after });
+      await streamContext.createNewResumableStream(streamId, () => stream);
     },
   });
-
-  return new Response(
-    await streamContext.resumableStream(streamId, () =>
-      stream.pipeThrough(new JsonToSseTransformStream()),
-    ),
-  );
 }
diff --git a/examples/next-openai/app/api/use-chat-tools/route.ts b/examples/next-openai/app/api/use-chat-tools/route.ts
index 259b1a249a88..447bbcda13fb 100644
--- a/examples/next-openai/app/api/use-chat-tools/route.ts
+++ b/examples/next-openai/app/api/use-chat-tools/route.ts
@@ -1,7 +1,7 @@
 import { openai } from '@ai-sdk/openai';
 import {
   convertToModelMessages,
-  InferUITool,
+  InferUITools,
   stepCountIs,
   streamText,
   tool,
@@ -59,14 +59,19 @@ const getLocationTool = tool({
   outputSchema: z.string(),
 });
 
+const tools = {
+  // server-side tool with execute function:
+  getWeatherInformation: getWeatherInformationTool,
+  // client-side tool that starts user interaction:
+  askForConfirmation: askForConfirmationTool,
+  // client-side tool that is automatically executed on the client:
+  getLocation: getLocationTool,
+} as const;
+
 export type UseChatToolsMessage = UIMessage<
   never,
   UIDataTypes,
-  {
-    getWeatherInformation: InferUITool<typeof getWeatherInformationTool>;
-    askForConfirmation: InferUITool<typeof askForConfirmationTool>;
-    getLocation: InferUITool<typeof getLocationTool>;
-  }
+  InferUITools<typeof tools>
 >;
 
 export async function POST(req: Request) {
@@ -76,15 +81,13 @@ export async function POST(req: Request) {
     model: openai('gpt-4o'),
     messages: convertToModelMessages(messages),
     stopWhen: stepCountIs(5), // multi-steps for server-side tools
-    tools: {
-      // server-side tool with execute function:
-      getWeatherInformation: getWeatherInformationTool,
-      // client-side tool that starts user interaction:
-      askForConfirmation: askForConfirmationTool,
-      // client-side tool that is automatically executed on the client:
-      getLocation: getLocationTool,
-    },
+    tools,
   });
 
-  return result.toUIMessageStreamResponse();
+  return result.toUIMessageStreamResponse({
+    //  originalMessages: messages, //add if you want to have correct ids
+    onFinish: options => {
+      console.log('onFinish', options);
+    },
+  });
 }
diff --git a/examples/next-openai/app/use-chat-data-ui-parts/page.tsx b/examples/next-openai/app/use-chat-data-ui-parts/page.tsx
index 8d15726e3d7f..4b6dc8531f40 100644
--- a/examples/next-openai/app/use-chat-data-ui-parts/page.tsx
+++ b/examples/next-openai/app/use-chat-data-ui-parts/page.tsx
@@ -21,10 +21,13 @@ export default function Chat() {
       transport: new DefaultChatTransport({
         api: '/api/use-chat-data-ui-parts',
       }),
+      onData: dataPart => {
+        console.log('dataPart', JSON.stringify(dataPart, null, 2));
+      },
     });
 
   return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+    <div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
       {messages.map(message => (
         <div key={message.id} className="whitespace-pre-wrap">
           {message.role === 'user' ? 'User: ' : 'AI: '}{' '}
@@ -70,7 +73,7 @@ export default function Chat() {
           {status === 'submitted' && <div>Loading...</div>}
           <button
             type="button"
-            className="px-4 py-2 mt-4 text-blue-500 border border-blue-500 rounded-md"
+            className="px-4 py-2 mt-4 text-blue-500 rounded-md border border-blue-500"
             onClick={stop}
           >
             Stop
@@ -83,7 +86,7 @@ export default function Chat() {
           <div className="text-red-500">An error occurred.</div>
           <button
             type="button"
-            className="px-4 py-2 mt-4 text-blue-500 border border-blue-500 rounded-md"
+            className="px-4 py-2 mt-4 text-blue-500 rounded-md border border-blue-500"
             onClick={() => regenerate()}
           >
             Retry
diff --git a/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx b/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx
new file mode 100644
index 000000000000..9762160d109e
--- /dev/null
+++ b/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx
@@ -0,0 +1,134 @@
+'use client';
+
+import { useChat } from '@ai-sdk/react';
+import {
+  DefaultChatTransport,
+  getToolName,
+  isToolUIPart,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
+import { tools } from '../api/use-chat-human-in-the-loop/tools';
+import {
+  APPROVAL,
+  getToolsRequiringConfirmation,
+} from '../api/use-chat-human-in-the-loop/utils';
+import { useState } from 'react';
+import {
+  HumanInTheLoopUIMessage,
+  MyTools,
+} from '../api/use-chat-human-in-the-loop/types';
+
+export default function Chat() {
+  const [input, setInput] = useState('');
+  const { messages, sendMessage, addToolResult } =
+    useChat<HumanInTheLoopUIMessage>({
+      transport: new DefaultChatTransport({
+        api: '/api/use-chat-human-in-the-loop',
+      }),
+      sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+    });
+
+  const toolsRequiringConfirmation = getToolsRequiringConfirmation(tools);
+
+  const pendingToolCallConfirmation = messages.some(m =>
+    m.parts?.some(
+      part =>
+        isToolUIPart(part) &&
+        part.state === 'input-available' &&
+        toolsRequiringConfirmation.includes(getToolName(part)),
+    ),
+  );
+
+  return (
+    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+      {messages?.map(m => (
+        <div key={m.id} className="whitespace-pre-wrap">
+          <strong>{`${m.role}: `}</strong>
+          {m.parts?.map((part, i) => {
+            if (part.type === 'text') {
+              return <div key={i}>{part.text}</div>;
+            }
+            if (isToolUIPart<MyTools>(part)) {
+              const toolInvocation = part;
+              const toolName = getToolName(toolInvocation);
+              const toolCallId = toolInvocation.toolCallId;
+              const dynamicInfoStyles = 'font-mono bg-zinc-100 p-1 text-sm';
+
+              // render confirmation tool (client-side tool with user interaction)
+              if (
+                toolsRequiringConfirmation.includes(toolName) &&
+                toolInvocation.state === 'input-available'
+              ) {
+                return (
+                  <div key={toolCallId}>
+                    Run <span className={dynamicInfoStyles}>{toolName}</span>{' '}
+                    with args: <br />
+                    <span className={dynamicInfoStyles}>
+                      {JSON.stringify(toolInvocation.input, null, 2)}
+                    </span>
+                    <div className="flex gap-2 pt-2">
+                      <button
+                        className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
+                        onClick={async () => {
+                          await addToolResult({
+                            toolCallId,
+                            tool: toolName,
+                            output: APPROVAL.YES,
+                          });
+                          sendMessage();
+                        }}
+                      >
+                        Yes
+                      </button>
+                      <button
+                        className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
+                        onClick={async () => {
+                          await addToolResult({
+                            toolCallId,
+                            tool: toolName,
+                            output: APPROVAL.NO,
+                          });
+                          sendMessage();
+                        }}
+                      >
+                        No
+                      </button>
+                    </div>
+                  </div>
+                );
+              }
+              return (
+                <div key={toolCallId}>
+                  <div className="font-mono text-sm bg-zinc-100 w-fit">
+                    call
+                    {toolInvocation.state === 'output-available'
+                      ? 'ed'
+                      : 'ing'}{' '}
+                    {toolName}
+                  </div>
+                </div>
+              );
+            }
+          })}
+          <br />
+        </div>
+      ))}
+
+      <form
+        onSubmit={e => {
+          e.preventDefault();
+          sendMessage({ text: input });
+          setInput('');
+        }}
+      >
+        <input
+          disabled={pendingToolCallConfirmation}
+          className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-zinc-300 rounded shadow-xl"
+          value={input}
+          placeholder="Say something..."
+          onChange={e => setInput(e.target.value)}
+        />
+      </form>
+    </div>
+  );
+}
diff --git a/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx.broken b/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx.broken
deleted file mode 100644
index bae1283c8d03..000000000000
--- a/examples/next-openai/app/use-chat-human-in-the-loop/page.tsx.broken
+++ /dev/null
@@ -1,113 +0,0 @@
-'use client';
-
-import { UIMessage, useChat } from '@ai-sdk/react';
-import { DefaultChatTransport } from 'ai';
-import { tools } from '../api/use-chat-human-in-the-loop/tools';
-import {
-  APPROVAL,
-  getToolsRequiringConfirmation,
-} from '../api/use-chat-human-in-the-loop/utils';
-import { useState } from 'react';
-
-export default function Chat() {
-  const [input, setInput] = useState('');
-  const { messages, sendMessage, addToolResult } = useChat({
-    transport: new DefaultChatTransport({
-      api: '/api/use-chat-human-in-the-loop',
-    }),
-    maxSteps: 5,
-  });
-
-  const toolsRequiringConfirmation = getToolsRequiringConfirmation(tools);
-
-  const pendingToolCallConfirmation = messages.some((m: UIMessage) =>
-    m.parts?.some(
-      part =>
-        part.type === 'tool-invocation' &&
-        part.toolInvocation.state === 'call' &&
-        toolsRequiringConfirmation.includes(part.toolInvocation.toolName),
-    ),
-  );
-
-  return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
-      {messages?.map((m: UIMessage) => (
-        <div key={m.id} className="whitespace-pre-wrap">
-          <strong>{`${m.role}: `}</strong>
-          {m.parts?.map((part, i) => {
-            switch (part.type) {
-              case 'text':
-                return <div key={i}>{part.text}</div>;
-              case 'tool-invocation':
-                const toolInvocation = part.toolInvocation;
-                const toolCallId = toolInvocation.toolCallId;
-                const dynamicInfoStyles = 'font-mono bg-gray-100 p-1 text-sm';
-
-                // render confirmation tool (client-side tool with user interaction)
-                if (
-                  toolsRequiringConfirmation.includes(
-                    toolInvocation.toolName,
-                  ) &&
-                  toolInvocation.state === 'call'
-                ) {
-                  return (
-                    <div key={toolCallId} className="text-gray-500">
-                      Run{' '}
-                      <span className={dynamicInfoStyles}>
-                        {toolInvocation.toolName}
-                      </span>{' '}
-                      with args:{' '}
-                      <span className={dynamicInfoStyles}>
-                        {JSON.stringify(toolInvocation.args)}
-                      </span>
-                      <div className="flex gap-2 pt-2">
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: APPROVAL.YES,
-                            })
-                          }
-                        >
-                          Yes
-                        </button>
-                        <button
-                          className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
-                          onClick={() =>
-                            addToolResult({
-                              toolCallId,
-                              result: APPROVAL.NO,
-                            })
-                          }
-                        >
-                          No
-                        </button>
-                      </div>
-                    </div>
-                  );
-                }
-            }
-          })}
-          <br />
-        </div>
-      ))}
-
-      <form
-        onSubmit={e => {
-          e.preventDefault();
-          sendMessage({ text: input });
-          setInput('');
-        }}
-      >
-        <input
-          disabled={pendingToolCallConfirmation}
-          className="fixed bottom-0 w-full max-w-md p-2 mb-8 border border-gray-300 rounded shadow-xl"
-          value={input}
-          placeholder="Say something..."
-          onChange={e => setInput(e.target.value)}
-        />
-      </form>
-    </div>
-  );
-}
diff --git a/examples/next-openai/app/use-chat-reasoning-tools/page.tsx b/examples/next-openai/app/use-chat-reasoning-tools/page.tsx
index 7b5d341f19e5..80a14e76bf74 100644
--- a/examples/next-openai/app/use-chat-reasoning-tools/page.tsx
+++ b/examples/next-openai/app/use-chat-reasoning-tools/page.tsx
@@ -11,7 +11,6 @@ export default function Chat() {
       transport: new DefaultChatTransport({
         api: '/api/use-chat-reasoning-tools',
       }),
-      maxSteps: 5,
 
       // run client-side tools that are automatically executed:
       async onToolCall({ toolCall }) {
@@ -25,13 +24,19 @@ export default function Chat() {
             'Chicago',
             'San Francisco',
           ];
-          return cities[Math.floor(Math.random() * cities.length)];
+          addToolResult({
+            tool: 'getLocation',
+            toolCallId: toolCall.toolCallId,
+            output: cities[Math.floor(Math.random() * cities.length)],
+          });
         }
       },
     });
 
+  console.log(structuredClone(messages));
+
   return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+    <div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
       {messages?.map(message => (
         <div key={message.id} className="whitespace-pre-wrap">
           <strong>{`${message.role}: `}</strong>
@@ -40,7 +45,7 @@ export default function Chat() {
               return (
                 <pre
                   key={index}
-                  className="max-w-full overflow-x-auto break-words whitespace-pre-wrap"
+                  className="overflow-x-auto max-w-full whitespace-pre-wrap break-words"
                 >
                   {part.text}
                 </pre>
@@ -51,7 +56,7 @@ export default function Chat() {
               return (
                 <pre
                   key={index}
-                  className="max-w-full mb-4 overflow-x-auto italic text-gray-500 break-words whitespace-pre-wrap"
+                  className="overflow-x-auto mb-4 max-w-full italic text-gray-500 whitespace-pre-wrap break-words"
                 >
                   {part.text}
                 </pre>
@@ -69,6 +74,7 @@ export default function Chat() {
                           className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
                           onClick={() =>
                             addToolResult({
+                              tool: 'askForConfirmation',
                               toolCallId: part.toolCallId,
                               output: 'Yes, confirmed.',
                             })
@@ -80,6 +86,7 @@ export default function Chat() {
                           className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
                           onClick={() =>
                             addToolResult({
+                              tool: 'askForConfirmation',
                               toolCallId: part.toolCallId,
                               output: 'No, denied',
                             })
diff --git a/examples/next-openai/app/use-chat-streaming-tool-calls/page.tsx b/examples/next-openai/app/use-chat-streaming-tool-calls/page.tsx
index a78e9a4c79d0..0f31bf013d2c 100644
--- a/examples/next-openai/app/use-chat-streaming-tool-calls/page.tsx
+++ b/examples/next-openai/app/use-chat-streaming-tool-calls/page.tsx
@@ -2,30 +2,39 @@
 
 import { useChat } from '@ai-sdk/react';
 import ChatInput from '@component/chat-input';
-import { DefaultChatTransport } from 'ai';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
 import { StreamingToolCallsMessage } from '../api/use-chat-streaming-tool-calls/route';
 
 export default function Chat() {
-  const { messages, status, sendMessage } = useChat<StreamingToolCallsMessage>({
-    transport: new DefaultChatTransport({
-      api: '/api/use-chat-streaming-tool-calls',
-    }),
-    maxSteps: 5,
+  const { messages, status, sendMessage, addToolResult } =
+    useChat<StreamingToolCallsMessage>({
+      transport: new DefaultChatTransport({
+        api: '/api/use-chat-streaming-tool-calls',
+      }),
 
-    // run client-side tools that are automatically executed:
-    async onToolCall({ toolCall }) {
-      if (toolCall.toolName === 'showWeatherInformation') {
-        // display tool. add tool result that informs the llm that the tool was executed.
-        return 'Weather information was shown to the user.';
-      }
-    },
-  });
+      sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+
+      // run client-side tools that are automatically executed:
+      async onToolCall({ toolCall }) {
+        if (toolCall.toolName === 'showWeatherInformation') {
+          // display tool. add tool result that informs the llm that the tool was executed.
+          addToolResult({
+            tool: 'showWeatherInformation',
+            toolCallId: toolCall.toolCallId,
+            output: 'Weather information was shown to the user.',
+          });
+        }
+      },
+    });
 
   // used to only render the role when it changes:
   let lastRole: string | undefined = undefined;
 
   return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+    <div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
       {messages?.map(m => {
         const isNewRole = m.role !== lastRole;
         lastRole = m.role;
@@ -42,17 +51,17 @@ export default function Chat() {
                 return (
                   <div
                     key={part.toolCallId}
-                    className="p-4 my-2 text-gray-500 border border-gray-300 rounded"
+                    className="p-4 my-2 text-gray-500 rounded border border-gray-300"
                   >
-                    <h4 className="mb-2">{part.input.city ?? ''}</h4>
+                    <h4 className="mb-2">{part.input?.city ?? ''}</h4>
                     <div className="flex flex-col gap-2">
                       <div className="flex gap-2">
-                        {part.input.weather && <b>{part.input.weather}</b>}
-                        {part.input.temperature && (
+                        {part.input?.weather && <b>{part.input.weather}</b>}
+                        {part.input?.temperature && (
                           <b>{part.input.temperature} &deg;C</b>
                         )}
                       </div>
-                      {part.input.typicalWeather && (
+                      {part.input?.typicalWeather && (
                         <div>{part.input.typicalWeather}</div>
                       )}
                     </div>
diff --git a/examples/next-openai/app/use-chat-tools/page.tsx b/examples/next-openai/app/use-chat-tools/page.tsx
index 3f0260db40f5..37d26cbace43 100644
--- a/examples/next-openai/app/use-chat-tools/page.tsx
+++ b/examples/next-openai/app/use-chat-tools/page.tsx
@@ -2,14 +2,17 @@
 
 import ChatInput from '@/component/chat-input';
 import { useChat } from '@ai-sdk/react';
-import { DefaultChatTransport } from 'ai';
+import {
+  DefaultChatTransport,
+  lastAssistantMessageIsCompleteWithToolCalls,
+} from 'ai';
 import { UseChatToolsMessage } from '../api/use-chat-tools/route';
 
 export default function Chat() {
   const { messages, sendMessage, addToolResult, status } =
     useChat<UseChatToolsMessage>({
       transport: new DefaultChatTransport({ api: '/api/use-chat-tools' }),
-      maxSteps: 5,
+      sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
 
       // run client-side tools that are automatically executed:
       async onToolCall({ toolCall }) {
@@ -23,7 +26,12 @@ export default function Chat() {
             'Chicago',
             'San Francisco',
           ];
-          return cities[Math.floor(Math.random() * cities.length)];
+
+          addToolResult({
+            tool: 'getLocation',
+            toolCallId: toolCall.toolCallId,
+            output: cities[Math.floor(Math.random() * cities.length)],
+          });
         }
       },
     });
@@ -54,23 +62,25 @@ export default function Chat() {
                         <div className="flex gap-2">
                           <button
                             className="px-4 py-2 font-bold text-white bg-blue-500 rounded hover:bg-blue-700"
-                            onClick={() =>
+                            onClick={async () => {
                               addToolResult({
+                                tool: 'askForConfirmation',
                                 toolCallId: part.toolCallId,
                                 output: 'Yes, confirmed.',
-                              })
-                            }
+                              });
+                            }}
                           >
                             Yes
                           </button>
                           <button
                             className="px-4 py-2 font-bold text-white bg-red-500 rounded hover:bg-red-700"
-                            onClick={() =>
+                            onClick={async () => {
                               addToolResult({
+                                tool: 'askForConfirmation',
                                 toolCallId: part.toolCallId,
                                 output: 'No, denied',
-                              })
-                            }
+                              });
+                            }}
                           >
                             No
                           </button>
diff --git a/examples/next-openai/app/use-object/page.tsx b/examples/next-openai/app/use-object/page.tsx
index 441c976654ce..c224c8e2a33b 100644
--- a/examples/next-openai/app/use-object/page.tsx
+++ b/examples/next-openai/app/use-object/page.tsx
@@ -4,7 +4,7 @@ import { experimental_useObject as useObject } from '@ai-sdk/react';
 import { notificationSchema } from '../api/use-object/schema';
 
 export default function Page() {
-  const { submit, isLoading, object, stop, error } = useObject({
+  const { submit, isLoading, object, stop, error, clear } = useObject({
     api: '/api/use-object',
     schema: notificationSchema,
   });
@@ -40,6 +40,16 @@ export default function Page() {
         </div>
       )}
 
+      <div className="mt-4 text-gray-500">
+        <button
+          type="button"
+          onClick={() => clear()}
+          className="px-4 py-2 mt-4 text-blue-500 border border-blue-500 rounded-md"
+        >
+          Clear
+        </button>
+      </div>
+
       <div className="flex flex-col gap-4 mt-4">
         {object?.notifications?.map((notification, index) => (
           <div
diff --git a/examples/next-openai/package.json b/examples/next-openai/package.json
index 7c018f5df090..e91d95e567c8 100644
--- a/examples/next-openai/package.json
+++ b/examples/next-openai/package.json
@@ -32,8 +32,8 @@
     "react-dom": "^18",
     "react-markdown": "9.0.1",
     "redis": "^4.7.0",
-    "resumable-stream": "^2.0.0",
-    "zod": "3.25.49"
+    "resumable-stream": "^2.2.0",
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/node": "20.17.24",
diff --git a/examples/next/app/api/chat/route.ts b/examples/next/app/api/chat/route.ts
index b90b45bc5baf..9b2666868c1b 100644
--- a/examples/next/app/api/chat/route.ts
+++ b/examples/next/app/api/chat/route.ts
@@ -1,4 +1,5 @@
 import { MyUIMessage } from '@/util/chat-schema';
+import { openai } from '@ai-sdk/openai';
 import { readChat, saveChat } from '@util/chat-store';
 import { convertToModelMessages, generateId, streamText } from 'ai';
 import { after } from 'next/server';
@@ -13,14 +14,14 @@ export async function POST(req: Request) {
   }: {
     message: MyUIMessage | undefined;
     id: string;
-    trigger: 'submit-user-message' | 'regenerate-assistant-message';
+    trigger: 'submit-message' | 'regenerate-message';
     messageId: string | undefined;
   } = await req.json();
 
   const chat = await readChat(id);
   let messages: MyUIMessage[] = chat.messages;
 
-  if (trigger === 'submit-user-message') {
+  if (trigger === 'submit-message') {
     if (messageId != null) {
       const messageIndex = messages.findIndex(m => m.id === messageId);
 
@@ -33,7 +34,7 @@ export async function POST(req: Request) {
     } else {
       messages = [...messages, message!];
     }
-  } else if (trigger === 'regenerate-assistant-message') {
+  } else if (trigger === 'regenerate-message') {
     const messageIndex =
       messageId == null
         ? messages.length - 1
@@ -56,12 +57,13 @@ export async function POST(req: Request) {
   saveChat({ id, messages, activeStreamId: null });
 
   const result = streamText({
-    model: 'openai/gpt-4o-mini',
+    model: openai('gpt-4o-mini'),
     messages: convertToModelMessages(messages),
   });
 
   return result.toUIMessageStreamResponse({
     originalMessages: messages,
+    generateMessageId: generateId,
     messageMetadata: ({ part }) => {
       if (part.type === 'start') {
         return { createdAt: Date.now() };
diff --git a/examples/next/app/chat/[chatId]/chat.tsx b/examples/next/app/chat/[chatId]/chat.tsx
index 83c43650944e..dfe0f07175a9 100644
--- a/examples/next/app/chat/[chatId]/chat.tsx
+++ b/examples/next/app/chat/[chatId]/chat.tsx
@@ -26,29 +26,26 @@ export default function ChatComponent({
     transport: new DefaultChatTransport({
       prepareSendMessagesRequest: ({ id, messages, trigger, messageId }) => {
         switch (trigger) {
-          case 'regenerate-assistant-message':
+          case 'regenerate-message':
             // omit messages data transfer, only send the messageId:
             return {
               body: {
-                trigger: 'regenerate-assistant-message',
+                trigger: 'regenerate-message',
                 id,
                 messageId,
               },
             };
 
-          case 'submit-user-message':
+          case 'submit-message':
             // only send the last message to the server to limit the request size:
             return {
               body: {
-                trigger: 'submit-user-message',
+                trigger: 'submit-message',
                 id,
                 message: messages[messages.length - 1],
                 messageId,
               },
             };
-
-          case 'submit-tool-result':
-            throw new Error(`submit-tool-result is not supported`);
         }
       },
     }),
@@ -72,7 +69,7 @@ export default function ChatComponent({
   }, []);
 
   return (
-    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
+    <div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
       {messages.map(message => (
         <Message
           key={message.id}
diff --git a/examples/next/package.json b/examples/next/package.json
index ca0484b11d56..b8d07801f9c7 100644
--- a/examples/next/package.json
+++ b/examples/next/package.json
@@ -9,6 +9,7 @@
     "lint": "next lint"
   },
   "dependencies": {
+    "@ai-sdk/openai": "workspace:*",
     "@ai-sdk/react": "workspace:*",
     "@vercel/blob": "^0.26.0",
     "ai": "workspace:*",
@@ -17,7 +18,7 @@
     "react-dom": "^18",
     "react-markdown": "9.0.1",
     "resumable-stream": "^2.2.0",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@types/node": "20.17.24",
diff --git a/examples/node-http-server/package.json b/examples/node-http-server/package.json
index 4510f52eaf2b..3e6335a03d67 100644
--- a/examples/node-http-server/package.json
+++ b/examples/node-http-server/package.json
@@ -6,7 +6,7 @@
     "@ai-sdk/openai": "workspace:*",
     "ai": "workspace:*",
     "dotenv": "16.4.5",
-    "zod": "3.25.49",
+    "zod": "3.25.76",
     "zod-to-json-schema": "3.23.5"
   },
   "scripts": {
diff --git a/examples/nuxt-openai/package.json b/examples/nuxt-openai/package.json
index 0c7b21080ce6..a4b14f15eaad 100644
--- a/examples/nuxt-openai/package.json
+++ b/examples/nuxt-openai/package.json
@@ -13,7 +13,7 @@
     "@ai-sdk/vue": "workspace:*",
     "@ai-sdk/openai": "workspace:*",
     "ai": "workspace:*",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "devDependencies": {
     "@nuxt/devtools": "1.6.3",
diff --git a/examples/sveltekit-openai/package.json b/examples/sveltekit-openai/package.json
index 26d7c5526117..cf6ffa60bfa4 100644
--- a/examples/sveltekit-openai/package.json
+++ b/examples/sveltekit-openai/package.json
@@ -41,7 +41,7 @@
     "typescript": "^5.0.0",
     "typescript-eslint": "^8.20.0",
     "vite": "^6.0.0",
-    "zod": "3.25.49",
+    "zod": "3.25.76",
     "@vercel/ai-tsconfig": "workspace:*"
   }
 }
diff --git a/examples/sveltekit-openai/src/lib/components/icons/trash.svelte b/examples/sveltekit-openai/src/lib/components/icons/trash.svelte
new file mode 100644
index 000000000000..46a5905349a7
--- /dev/null
+++ b/examples/sveltekit-openai/src/lib/components/icons/trash.svelte
@@ -0,0 +1,19 @@
+<script lang="ts">
+  let { size = 16 }: { size?: number } = $props();
+</script>
+
+<svg
+  xmlns="http://www.w3.org/2000/svg"
+  width={size}
+  height={size}
+  viewBox="0 0 24 24"
+  fill="none"
+  stroke="currentColor"
+  stroke-width="2"
+  stroke-linecap="round"
+  stroke-linejoin="round"
+  class="lucide lucide-trash-icon lucide-trash"
+  ><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6" /><path
+    d="M3 6h18"
+  /><path d="M8 6V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2" /></svg
+>
diff --git a/examples/sveltekit-openai/src/routes/structured-object/+page.svelte b/examples/sveltekit-openai/src/routes/structured-object/+page.svelte
index 3b5588275761..5e784f39549f 100644
--- a/examples/sveltekit-openai/src/routes/structured-object/+page.svelte
+++ b/examples/sveltekit-openai/src/routes/structured-object/+page.svelte
@@ -4,6 +4,7 @@
   import { Textarea } from '$lib/components/ui/textarea/index.js';
   import { Experimental_StructuredObject } from '@ai-sdk/svelte';
   import { notificationSchema } from './schema.js';
+  import Trash from '$lib/components/icons/trash.svelte';
 
   const structuredObject = new Experimental_StructuredObject({
     api: '/api/structured-object',
@@ -56,15 +57,24 @@
           }
         }}
       />
-      <Button
-        aria-label="Send message"
-        disabled={structuredObject.loading}
-        type="submit"
-        size="icon"
-        class="absolute bottom-3 right-3"
-      >
-        <ArrowUp />
-      </Button>
+      <div class="absolute bottom-3 right-3">
+        <Button
+          aria-label="Clear"
+          type="button"
+          size="icon"
+          onclick={() => structuredObject.clear()}
+        >
+          <Trash />
+        </Button>
+        <Button
+          aria-label="Send message"
+          disabled={structuredObject.loading}
+          type="submit"
+          size="icon"
+        >
+          <ArrowUp />
+        </Button>
+      </div>
     </form>
   </div>
 </main>
diff --git a/package.json b/package.json
index bef8a9b27d92..ec8bc57a8110 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,7 @@
     "lint-staged": "15.2.10",
     "next": "15.0.0-canary.23",
     "playwright": "^1.44.1",
-    "prettier": "^3.3.3",
+    "prettier": "3.5.3",
     "prettier-plugin-svelte": "^3.3.3",
     "publint": "0.2.12",
     "react": "19.0.0-rc-cc1ec60d0d-20240607",
diff --git a/packages/ai/CHANGELOG.md b/packages/ai/CHANGELOG.md
index d2fb3990c113..27ed059e7530 100644
--- a/packages/ai/CHANGELOG.md
+++ b/packages/ai/CHANGELOG.md
@@ -1,5 +1,209 @@
 # ai
 
+## 5.0.0-beta.28
+
+### Patch Changes
+
+- 84343eb: fix (ui): call sendAutomaticallyWhen with updated messages
+- a753b3a: feat (provider/anthropic): cache control for tools
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - @ai-sdk/gateway@1.0.0-beta.14
+
+## 5.0.0-beta.27
+
+### Patch Changes
+
+- d5ae088: feat (ui): add sendAutomaticallyWhen to Chat
+- Updated dependencies [0477a13]
+- Updated dependencies [cf1e00e]
+- Updated dependencies [cc21603]
+  - @ai-sdk/gateway@1.0.0-beta.13
+
+## 5.0.0-beta.26
+
+### Patch Changes
+
+- ae77a99: chore (ai): rename text and reasoning chunks in streamText fullstream
+- 1f6ce57: feat (ai): infer tool call types in the `onToolCall` callback
+- 5a975a4: feat (ui): update Chat tool result submission
+- 2a62513: Fix error thrown when emptying messages in onError or onFinish
+- 904fa5e: feat (ai/core): add terminateOnError option to readUIMessageStream
+- f81c720: chore(ai): bundle dependencies in CLI binary
+- Updated dependencies [70ebead]
+  - @ai-sdk/gateway@1.0.0-beta.12
+
+## 5.0.0-beta.25
+
+### Patch Changes
+
+- Updated dependencies [8bd3624]
+- Updated dependencies [e001ea1]
+  - @ai-sdk/gateway@1.0.0-beta.11
+
+## 5.0.0-beta.24
+
+### Patch Changes
+
+- add5ac1: feat (ai): make streamText toUIMessageStream async iterable
+- ff1c81a: feat (ai): add streamText onAbort callback
+- e4c8647: feat (ui): allow asynchronous onFinish in createUIMessageStream
+- 383cbfa: feat (ai): add isAborted to onFinish callback for ui message streams
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/gateway@1.0.0-beta.10
+
+## 5.0.0-beta.23
+
+### Patch Changes
+
+- 89ba235: fix (ui): support tool names with dash
+
+## 5.0.0-beta.22
+
+### Patch Changes
+
+- de2d2ab: feat(ai): add provider and provider registry middleware functionality
+- 6c42e56: feat (ai): validate ui stream data chunks
+- c93a8bc: chore(ai): export AsyncIterableStream type from async-iterable-stream module
+- 20398f2: feat: ai sdk cli documentation + adjusted default model
+- 86293e5: fix (ai): use correct generateMessageId in streamText toUIMessageStream
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+  - @ai-sdk/gateway@1.0.0-beta.9
+
+## 5.0.0-beta.21
+
+### Patch Changes
+
+- 38ae5cc: feat (ai): export InferUIMessageChunk type
+- faea29f: fix (provider/openai): multi-step reasoning with text
+- 90ac328: fix (ui): tool part metadata support in ui messages
+- 4a1e0c8: fix(ai-cli): fix bundling and improve authentication error handling
+- 30ac566: fix (ui): text message metadata support in ui messages
+
+## 5.0.0-beta.20
+
+### Patch Changes
+
+- 4c8f834: feat: automatically respect rate limit headers in retry logic
+
+  Added automatic support for respecting rate limit headers (`retry-after-ms` and `retry-after`) in the SDK's retry logic. When these headers are present and contain reasonable values (0-60 seconds), the retry mechanism will use the server-specified delay instead of exponential backoff. This matches the behavior of Anthropic and OpenAI client SDKs and improves rate limit handling without requiring any API changes.
+
+## 5.0.0-beta.19
+
+### Patch Changes
+
+- 10b21eb: feat(cli): add ai command line interface
+- 75c3396: fix (ai): handle errors in 2nd streamText doStream call
+- 05d2819: feat: allow zod 4.x as peer dependency
+- db64cbe: fix (provider/openai): multi-step reasoning with tool calls
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/gateway@1.0.0-beta.8
+
+## 5.0.0-beta.18
+
+### Patch Changes
+
+- d3960e3: selectTelemetryAttributes more robustness
+- 9338f3e: fix (ai): throw error for v1 models
+
+## 5.0.0-beta.17
+
+### Patch Changes
+
+- Updated dependencies [c190907]
+  - @ai-sdk/gateway@1.0.0-beta.7
+
+## 5.0.0-beta.16
+
+### Patch Changes
+
+- Updated dependencies [9e16bfd]
+  - @ai-sdk/gateway@1.0.0-beta.6
+
+## 5.0.0-beta.15
+
+### Patch Changes
+
+- 8e31d46: feat (ai): export SourceDocumentUIPart
+
+## 5.0.0-beta.14
+
+### Patch Changes
+
+- Updated dependencies [30ab1de]
+  - @ai-sdk/gateway@1.0.0-beta.5
+
+## 5.0.0-beta.13
+
+### Patch Changes
+
+- 377bbcf: fix (ui): tool input can be undefined during input-streaming
+- ce1d1f3: feat (ai): export mock image, speech, and transcription models
+- c040e2f: fix (ui): inject generated response message id
+- c808e4d: fix (ui): do not send changing assistant message ids when onFinish is provided
+
+## 5.0.0-beta.12
+
+### Patch Changes
+
+- fc0380b: feat (ui): resolvable header, body, credentials in http chat transport
+- 51f497d: feat (ai): step input message modification in prepareStep
+- 4f3776c: feat (ai): add InferUITools helper
+
+## 5.0.0-beta.11
+
+### Patch Changes
+
+- 9e40cbe: Allow destructuring output and errorText on `ToolUIPart` type
+
+## 5.0.0-beta.10
+
+### Major Changes
+
+- 2b637d6: chore (ai): rename UIMessageStreamPart to UIMessageChunk
+
+### Patch Changes
+
+- 16ccfb2: feat (ai): add readUIMessageStream helper
+- 90ca2b9: feat(ai): Record tool call errors on tool call spans recorded in `generateText` and `streamText`.
+- af1d5a5: fix(ai): Unexpected reasoning-start event in extract reasoning middleware
+
+## 5.0.0-beta.9
+
+### Patch Changes
+
+- 86cfc72: feat (ai): add ignoreIncompleteToolCalls option to convertToModelMessages
+
+## 5.0.0-beta.8
+
+### Patch Changes
+
+- 6909543: feat (ai): support system parameter in Agent constructor
+- c8fce91: feat (ai): add experimental Agent abstraction
+- 9121250: Expose provider metadata as an attribute on exported OTEL spans
+- Updated dependencies [97fedf9]
+  - @ai-sdk/gateway@1.0.0-beta.4
+
+## 5.0.0-beta.7
+
+### Patch Changes
+
+- 60132dd: fixed date formatting for updated mcp protocol version
+
+## 5.0.0-beta.6
+
+### Patch Changes
+
+- 143c55b: feat (ai): export Chat callback types
+- f04ffe4: feat (ui): add onData callback to Chat
+- 97c35c0: feat (ui): transient data parts
+- fccf75c: update mcp protocol version
+
 ## 5.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/ai/core/generate-text/content-part.ts b/packages/ai/core/generate-text/content-part.ts
deleted file mode 100644
index 6c35d66f107f..000000000000
--- a/packages/ai/core/generate-text/content-part.ts
+++ /dev/null
@@ -1,15 +0,0 @@
-import { ProviderMetadata } from '../types';
-import { Source } from '../types/language-model';
-import { GeneratedFile } from './generated-file';
-import { ToolCallUnion } from './tool-call';
-import { ToolErrorUnion, ToolResultUnion } from './tool-output';
-import { ToolSet } from './tool-set';
-
-export type ContentPart<TOOLS extends ToolSet> =
-  | { type: 'text'; text: string }
-  | { type: 'reasoning'; text: string; providerMetadata?: ProviderMetadata }
-  | ({ type: 'source' } & Source)
-  | { type: 'file'; file: GeneratedFile } // different because of GeneratedFile object
-  | ({ type: 'tool-call' } & ToolCallUnion<TOOLS>)
-  | ({ type: 'tool-result' } & ToolResultUnion<TOOLS>)
-  | ({ type: 'tool-error' } & ToolErrorUnion<TOOLS>);
diff --git a/packages/ai/core/index.ts b/packages/ai/core/index.ts
deleted file mode 100644
index 2a15df2b2acf..000000000000
--- a/packages/ai/core/index.ts
+++ /dev/null
@@ -1,15 +0,0 @@
-// directory exports:
-export * from './embed';
-export * from './generate-image';
-export * from './generate-object';
-export * from './generate-speech';
-export * from './generate-text';
-export * from './middleware';
-export * from './prompt';
-export * from './registry';
-export * from './tool';
-export * from './transcribe';
-export * from './types';
-
-// telemetry types:
-export type { TelemetrySettings } from './telemetry/telemetry-settings';
diff --git a/packages/ai/core/prompt/prepare-tools-and-tool-choice.test.ts b/packages/ai/core/prompt/prepare-tools-and-tool-choice.test.ts
deleted file mode 100644
index e506f70a0b2f..000000000000
--- a/packages/ai/core/prompt/prepare-tools-and-tool-choice.test.ts
+++ /dev/null
@@ -1,115 +0,0 @@
-import { z } from 'zod/v4';
-import { ToolSet } from '../generate-text/tool-set';
-import { prepareToolsAndToolChoice } from './prepare-tools-and-tool-choice';
-import { Tool, tool } from '@ai-sdk/provider-utils';
-import { LanguageModelV2FunctionTool } from '@ai-sdk/provider';
-
-const mockTools: ToolSet = {
-  tool1: tool({
-    description: 'Tool 1 description',
-    inputSchema: z.object({}),
-  }),
-  tool2: tool({
-    description: 'Tool 2 description',
-    inputSchema: z.object({ city: z.string() }),
-  }),
-};
-
-const mockProviderDefinedTool: Tool = {
-  type: 'provider-defined',
-  id: 'provider.tool-id',
-  name: 'tool-id',
-  args: { key: 'value' },
-  inputSchema: z.object({}),
-};
-
-const mockToolsWithProviderDefined: ToolSet = {
-  ...mockTools,
-  providerTool: mockProviderDefinedTool,
-};
-
-it('should return undefined for both tools and toolChoice when tools is not provided', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: undefined,
-    toolChoice: undefined,
-    activeTools: undefined,
-  });
-  expect(result).toEqual({ tools: undefined, toolChoice: undefined });
-});
-
-it('should return all tools when activeTools is not provided', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockTools,
-    toolChoice: undefined,
-    activeTools: undefined,
-  });
-  expect(result.tools).toHaveLength(2);
-  expect((result.tools?.[0] as LanguageModelV2FunctionTool).name).toBe('tool1');
-  expect((result.tools?.[1] as LanguageModelV2FunctionTool).name).toBe('tool2');
-  expect(result.toolChoice).toEqual({ type: 'auto' });
-});
-
-it('should filter tools based on activeTools', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockTools,
-    toolChoice: undefined,
-    activeTools: ['tool1'],
-  });
-  expect(result.tools).toHaveLength(1);
-  expect((result.tools?.[0] as LanguageModelV2FunctionTool).name).toBe('tool1');
-  expect(result.toolChoice).toEqual({ type: 'auto' });
-});
-
-it('should handle string toolChoice', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockTools,
-    toolChoice: 'none',
-    activeTools: undefined,
-  });
-  expect(result.tools).toHaveLength(2);
-  expect(result.toolChoice).toEqual({ type: 'none' });
-});
-
-it('should handle object toolChoice', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockTools,
-    toolChoice: { type: 'tool', toolName: 'tool2' },
-    activeTools: undefined,
-  });
-  expect(result.tools).toHaveLength(2);
-  expect(result.toolChoice).toEqual({ type: 'tool', toolName: 'tool2' });
-});
-
-it('should correctly map tool properties', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockTools,
-    toolChoice: undefined,
-    activeTools: undefined,
-  });
-  expect(result.tools?.[0]).toEqual({
-    type: 'function',
-    name: 'tool1',
-    description: 'Tool 1 description',
-    inputSchema: {
-      $schema: 'http://json-schema.org/draft-07/schema#',
-      additionalProperties: false,
-      type: 'object',
-      properties: {},
-    },
-  });
-});
-
-it('should handle provider-defined tool type', () => {
-  const result = prepareToolsAndToolChoice({
-    tools: mockToolsWithProviderDefined,
-    toolChoice: undefined,
-    activeTools: undefined,
-  });
-  expect(result.tools).toHaveLength(3);
-  expect(result.tools?.[2]).toEqual({
-    type: 'provider-defined',
-    name: 'providerTool',
-    id: 'provider.tool-id',
-    args: { key: 'value' },
-  });
-});
diff --git a/packages/ai/core/telemetry/record-span.ts b/packages/ai/core/telemetry/record-span.ts
deleted file mode 100644
index 94f38192fe01..000000000000
--- a/packages/ai/core/telemetry/record-span.ts
+++ /dev/null
@@ -1,48 +0,0 @@
-import { Attributes, Span, Tracer, SpanStatusCode } from '@opentelemetry/api';
-
-export function recordSpan<T>({
-  name,
-  tracer,
-  attributes,
-  fn,
-  endWhenDone = true,
-}: {
-  name: string;
-  tracer: Tracer;
-  attributes: Attributes;
-  fn: (span: Span) => Promise<T>;
-  endWhenDone?: boolean;
-}) {
-  return tracer.startActiveSpan(name, { attributes }, async span => {
-    try {
-      const result = await fn(span);
-
-      if (endWhenDone) {
-        span.end();
-      }
-
-      return result;
-    } catch (error) {
-      try {
-        if (error instanceof Error) {
-          span.recordException({
-            name: error.name,
-            message: error.message,
-            stack: error.stack,
-          });
-          span.setStatus({
-            code: SpanStatusCode.ERROR,
-            message: error.message,
-          });
-        } else {
-          span.setStatus({ code: SpanStatusCode.ERROR });
-        }
-      } finally {
-        // always stop the span when there is an error:
-        span.end();
-      }
-
-      throw error;
-    }
-  });
-}
diff --git a/packages/ai/internal/index.ts b/packages/ai/internal/index.ts
index caa0bfb3311e..f01efa73a2ab 100644
--- a/packages/ai/internal/index.ts
+++ b/packages/ai/internal/index.ts
@@ -2,8 +2,8 @@
 export { convertAsyncIteratorToReadableStream } from '@ai-sdk/provider-utils';
 
 // internal
-export { convertToLanguageModelPrompt } from '../core/prompt/convert-to-language-model-prompt';
-export { prepareToolsAndToolChoice } from '../core/prompt/prepare-tools-and-tool-choice';
-export { standardizePrompt } from '../core/prompt/standardize-prompt';
-export { prepareCallSettings } from '../core/prompt/prepare-call-settings';
+export { convertToLanguageModelPrompt } from '../src/prompt/convert-to-language-model-prompt';
+export { prepareToolsAndToolChoice } from '../src/prompt/prepare-tools-and-tool-choice';
+export { standardizePrompt } from '../src/prompt/standardize-prompt';
+export { prepareCallSettings } from '../src/prompt/prepare-call-settings';
 export { prepareRetries } from '../src/util/prepare-retries';
diff --git a/packages/ai/mcp-stdio/mcp-stdio-transport.test.ts b/packages/ai/mcp-stdio/mcp-stdio-transport.test.ts
index 0b8caed7dc23..e16c33a8d1fc 100644
--- a/packages/ai/mcp-stdio/mcp-stdio-transport.test.ts
+++ b/packages/ai/mcp-stdio/mcp-stdio-transport.test.ts
@@ -1,7 +1,7 @@
 import type { ChildProcess } from 'node:child_process';
 import { EventEmitter } from 'node:events';
 import { beforeEach, describe, expect, it, vi } from 'vitest';
-import { JSONRPCMessage } from '../core/tool/mcp/json-rpc-message';
+import { JSONRPCMessage } from '../src/tool/mcp/json-rpc-message';
 import { MCPClientError } from '../src/error/mcp-client-error';
 import { createChildProcess } from './create-child-process';
 import { StdioMCPTransport } from './mcp-stdio-transport';
diff --git a/packages/ai/mcp-stdio/mcp-stdio-transport.ts b/packages/ai/mcp-stdio/mcp-stdio-transport.ts
index 338ce3882b33..c4ab4ac6c64f 100644
--- a/packages/ai/mcp-stdio/mcp-stdio-transport.ts
+++ b/packages/ai/mcp-stdio/mcp-stdio-transport.ts
@@ -3,8 +3,8 @@ import { Stream } from 'node:stream';
 import {
   JSONRPCMessage,
   JSONRPCMessageSchema,
-} from '../core/tool/mcp/json-rpc-message';
-import { MCPTransport } from '../core/tool/mcp/mcp-transport';
+} from '../src/tool/mcp/json-rpc-message';
+import { MCPTransport } from '../src/tool/mcp/mcp-transport';
 import { MCPClientError } from '../src/error/mcp-client-error';
 import { createChildProcess } from './create-child-process';
 
diff --git a/packages/ai/package.json b/packages/ai/package.json
index 4ca47caa56fa..ac81211d0406 100644
--- a/packages/ai/package.json
+++ b/packages/ai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ai",
-  "version": "5.0.0-beta.5",
+  "version": "5.0.0-beta.28",
   "description": "AI SDK by Vercel - The AI Toolkit for TypeScript and JavaScript",
   "license": "Apache-2.0",
   "sideEffects": false,
@@ -14,6 +14,9 @@
     "mcp-stdio.d.ts",
     "test.d.ts"
   ],
+  "bin": {
+    "ai": "./dist/bin/ai.min.js"
+  },
   "scripts": {
     "build": "pnpm clean && tsup --tsconfig tsconfig.build.json",
     "build:watch": "pnpm clean && tsup --watch --tsconfig tsconfig.build.json",
@@ -60,18 +63,18 @@
     "@opentelemetry/api": "1.9.0"
   },
   "devDependencies": {
-    "@types/json-schema": "7.0.15",
     "@edge-runtime/vm": "^5.0.0",
+    "@types/json-schema": "7.0.15",
     "@types/node": "20.17.24",
     "@vercel/ai-tsconfig": "workspace:*",
     "eslint": "8.57.1",
     "eslint-config-vercel-ai": "workspace:*",
     "tsup": "^7.2.0",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/ai/src/agent/agent.ts b/packages/ai/src/agent/agent.ts
new file mode 100644
index 000000000000..45a4bea940fb
--- /dev/null
+++ b/packages/ai/src/agent/agent.ts
@@ -0,0 +1,136 @@
+import { IdGenerator } from '@ai-sdk/provider-utils';
+import {
+  generateText,
+  GenerateTextOnStepFinishCallback,
+} from '../generate-text/generate-text';
+import { GenerateTextResult } from '../generate-text/generate-text-result';
+import { Output } from '../generate-text/output';
+import { PrepareStepFunction } from '../generate-text/prepare-step';
+import { StopCondition } from '../generate-text/stop-condition';
+import { streamText } from '../generate-text/stream-text';
+import { StreamTextResult } from '../generate-text/stream-text-result';
+import { ToolCallRepairFunction } from '../generate-text/tool-call-repair-function';
+import { ToolSet } from '../generate-text/tool-set';
+import { CallSettings } from '../prompt/call-settings';
+import { Prompt } from '../prompt/prompt';
+import { TelemetrySettings } from '../telemetry/telemetry-settings';
+import { LanguageModel, ToolChoice } from '../types/language-model';
+import { ProviderMetadata } from '../types/provider-metadata';
+
+export type AgentSettings<
+  TOOLS extends ToolSet,
+  OUTPUT = never,
+  OUTPUT_PARTIAL = never,
+> = CallSettings & {
+  /**
+   * The system prompt to use.
+   */
+  system?: string;
+
+  /**
+The language model to use.
+   */
+  model: LanguageModel;
+
+  /**
+The tools that the model can call. The model needs to support calling tools.
+*/
+  tools?: TOOLS;
+
+  /**
+The tool choice strategy. Default: 'auto'.
+   */
+  toolChoice?: ToolChoice<NoInfer<TOOLS>>;
+
+  /**
+Condition for stopping the generation when there are tool results in the last step.
+When the condition is an array, any of the conditions can be met to stop the generation.
+
+@default stepCountIs(1)
+   */
+  stopWhen?:
+    | StopCondition<NoInfer<TOOLS>>
+    | Array<StopCondition<NoInfer<TOOLS>>>;
+
+  /**
+Optional telemetry configuration (experimental).
+   */
+  experimental_telemetry?: TelemetrySettings;
+
+  /**
+Limits the tools that are available for the model to call without
+changing the tool call and result types in the result.
+   */
+  activeTools?: Array<keyof NoInfer<TOOLS>>;
+
+  /**
+Optional specification for parsing structured outputs from the LLM response.
+   */
+  experimental_output?: Output<OUTPUT, OUTPUT_PARTIAL>;
+
+  /**
+   * @deprecated Use `prepareStep` instead.
+   */
+  experimental_prepareStep?: PrepareStepFunction<NoInfer<TOOLS>>;
+
+  /**
+Optional function that you can use to provide different settings for a step.
+  */
+  prepareStep?: PrepareStepFunction<NoInfer<TOOLS>>;
+
+  /**
+A function that attempts to repair a tool call that failed to parse.
+   */
+  experimental_repairToolCall?: ToolCallRepairFunction<NoInfer<TOOLS>>;
+
+  /**
+  Callback that is called when each step (LLM call) is finished, including intermediate steps.
+  */
+  onStepFinish?: GenerateTextOnStepFinishCallback<NoInfer<TOOLS>>;
+
+  /**
+   * Internal. For test use only. May change without notice.
+   */
+  _internal?: {
+    generateId?: IdGenerator;
+    currentDate?: () => Date;
+  };
+};
+
+export class Agent<
+  TOOLS extends ToolSet,
+  OUTPUT = never,
+  OUTPUT_PARTIAL = never,
+> {
+  private readonly settings: AgentSettings<TOOLS, OUTPUT, OUTPUT_PARTIAL>;
+
+  constructor(settings: AgentSettings<TOOLS, OUTPUT, OUTPUT_PARTIAL>) {
+    this.settings = settings;
+  }
+
+  async generate(
+    options: Prompt & {
+      /**
+Additional provider-specific metadata. They are passed through
+from the provider to the AI SDK and enable provider-specific
+results that can be fully encapsulated in the provider.
+   */
+      providerMetadata?: ProviderMetadata;
+    },
+  ): Promise<GenerateTextResult<TOOLS, OUTPUT>> {
+    return generateText({ ...this.settings, ...options });
+  }
+
+  stream(
+    options: Prompt & {
+      /**
+Additional provider-specific metadata. They are passed through
+from the provider to the AI SDK and enable provider-specific
+results that can be fully encapsulated in the provider.
+   */
+      providerMetadata?: ProviderMetadata;
+    },
+  ): StreamTextResult<TOOLS, OUTPUT_PARTIAL> {
+    return streamText({ ...this.settings, ...options });
+  }
+}
diff --git a/packages/ai/src/agent/index.ts b/packages/ai/src/agent/index.ts
new file mode 100644
index 000000000000..26de40d03bb7
--- /dev/null
+++ b/packages/ai/src/agent/index.ts
@@ -0,0 +1,4 @@
+export {
+  type AgentSettings as Experimental_AgentSettings,
+  Agent as Experimental_Agent,
+} from './agent';
diff --git a/packages/ai/src/bin/ai.test.ts b/packages/ai/src/bin/ai.test.ts
new file mode 100644
index 000000000000..720416798715
--- /dev/null
+++ b/packages/ai/src/bin/ai.test.ts
@@ -0,0 +1,337 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { writeFileSync, unlinkSync } from 'fs';
+import { resolve, basename } from 'path';
+
+const mockExit = vi.fn();
+Object.defineProperty(process, 'exit', {
+  value: mockExit,
+  writable: true,
+});
+
+const mockStreamText = vi.fn(() => ({
+  textStream: (async function* () {
+    yield 'Hello ';
+    yield 'world!';
+  })(),
+  usage: Promise.resolve({
+    inputTokens: 10,
+    outputTokens: 5,
+    totalTokens: 15,
+  }),
+}));
+
+vi.mock('../generate-text/stream-text', () => ({
+  streamText: mockStreamText,
+}));
+
+describe('AI CLI', () => {
+  const originalEnv = process.env;
+  const originalArgv = process.argv;
+  const testFiles: string[] = [];
+
+  beforeEach(() => {
+    process.env = { ...originalEnv };
+    process.argv = ['node', 'ai'];
+    vi.clearAllMocks();
+  });
+
+  afterEach(() => {
+    process.env = originalEnv;
+    process.argv = originalArgv;
+    testFiles.forEach(file => {
+      try {
+        unlinkSync(file);
+      } catch (error) {
+        // Ignore cleanup errors
+      }
+    });
+    testFiles.length = 0;
+  });
+
+  const createTestFile = (content: string, extension = '.txt'): string => {
+    const testFile = resolve(
+      `test-${Date.now()}-${Math.random().toString(36).slice(2)}${extension}`,
+    );
+    writeFileSync(testFile, content);
+    testFiles.push(testFile);
+    return testFile;
+  };
+
+  const normalizeFileName = (filename: string): string => {
+    return filename.replace(/test-\d+-\w+/, 'test-file');
+  };
+
+  const normalizeFileContent = (content: any) => {
+    if (typeof content === 'object' && content.name) {
+      return {
+        ...content,
+        name: normalizeFileName(basename(content.name)),
+      };
+    }
+    return content;
+  };
+
+  describe('argument parsing', () => {
+    it('should parse all CLI arguments correctly', async () => {
+      const testFile = createTestFile('test content', '.js');
+      process.argv = [
+        'node',
+        'ai',
+        '-m',
+        'anthropic/claude-3-5-sonnet-20241022',
+        '-f',
+        testFile,
+        '-s',
+        'You are helpful',
+        '-v',
+        'Hello world',
+      ];
+
+      const { parseArgs } = await import('./ai');
+      const options = parseArgs();
+
+      expect({
+        ...options,
+        files: options.files.map(f => normalizeFileName(basename(f))),
+      }).toMatchInlineSnapshot(`
+        {
+          "files": [
+            "test-file.js",
+          ],
+          "help": false,
+          "model": "anthropic/claude-3-5-sonnet-20241022",
+          "prompt": "Hello world",
+          "system": "You are helpful",
+          "verbose": true,
+          "version": false,
+        }
+      `);
+    });
+
+    it('should handle environment variables with defaults', async () => {
+      process.env.AI_DEFAULT_MODEL = 'groq/llama-3.1-8b-instant';
+      process.env.AI_SYSTEM = 'Be concise';
+      process.env.AI_VERBOSE = 'true';
+      process.argv = ['node', 'ai', 'test prompt'];
+
+      const { parseArgs } = await import('./ai');
+      const options = parseArgs();
+
+      expect(options).toMatchInlineSnapshot(`
+        {
+          "files": [],
+          "help": false,
+          "model": "groq/llama-3.1-8b-instant",
+          "prompt": "test prompt",
+          "system": "Be concise",
+          "verbose": true,
+          "version": false,
+        }
+      `);
+    });
+
+    it('should throw for invalid arguments', async () => {
+      process.argv = ['node', 'ai', '--invalid-flag', 'test'];
+
+      const { parseArgs } = await import('./ai');
+
+      expect(() => parseArgs()).toThrowErrorMatchingInlineSnapshot(
+        `[Error: Unknown option: --invalid-flag]`,
+      );
+    });
+  });
+
+  describe('file handling', () => {
+    it('should read and process different file types', async () => {
+      const jsFile = createTestFile('console.log("hello");', '.js');
+      const jsonFile = createTestFile('{"name": "test"}', '.json');
+      const mdFile = createTestFile('# Hello\nWorld', '.md');
+
+      const { readFileContent } = await import('./ai');
+
+      const jsContent = normalizeFileContent(readFileContent(jsFile));
+      const jsonContent = normalizeFileContent(readFileContent(jsonFile));
+      const mdContent = normalizeFileContent(readFileContent(mdFile));
+
+      expect(jsContent).toMatchInlineSnapshot(`
+        {
+          "content": "console.log("hello");",
+          "mediaType": "application/javascript",
+          "name": "test-file.js",
+        }
+      `);
+
+      expect(jsonContent).toMatchInlineSnapshot(`
+        {
+          "content": "{"name": "test"}",
+          "mediaType": "application/json",
+          "name": "test-file.json",
+        }
+      `);
+
+      expect(mdContent).toMatchInlineSnapshot(`
+        {
+          "content": "# Hello
+        World",
+          "mediaType": "text/markdown",
+          "name": "test-file.md",
+        }
+      `);
+    });
+
+    it('should handle image files with base64 encoding', async () => {
+      const imageFile = createTestFile('fake-png-data', '.png');
+
+      const { readFileContent } = await import('./ai');
+      const content = readFileContent(imageFile);
+
+      expect(content.mediaType).toBe('image/png');
+      expect(content.content).toMatch(/^data:image\/png;base64,/);
+      expect(content.name).toBe(imageFile);
+    });
+  });
+
+  describe('media type detection', () => {
+    it('should detect media types correctly', async () => {
+      const { getMediaType } = await import('./ai');
+
+      expect(getMediaType('.js')).toMatchInlineSnapshot(
+        `"application/javascript"`,
+      );
+      expect(getMediaType('.TS')).toMatchInlineSnapshot(
+        `"application/typescript"`,
+      );
+      expect(getMediaType('.json')).toMatchInlineSnapshot(`"application/json"`);
+      expect(getMediaType('.png')).toMatchInlineSnapshot(`"image/png"`);
+      expect(getMediaType('.unknown')).toMatchInlineSnapshot(`"text/plain"`);
+    });
+  });
+
+  describe('help and version output', () => {
+    it('should display complete help text', async () => {
+      const consoleSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
+
+      const { showHelp } = await import('./ai');
+      showHelp();
+
+      const helpOutput = consoleSpy.mock.calls.map(call => call[0]).join('\n');
+
+      expect(helpOutput).toMatchInlineSnapshot(`
+        "Usage: ai [options] [prompt]
+
+        AI CLI - Stream text generation from various AI models
+
+        Options:
+          -m, --model <model>      Model to use (default: "openai/gpt-4")
+                                   Format: provider/model (e.g., anthropic/claude-3-5-sonnet)
+          -f, --file <file>        Attach file(s) to prompt
+          -s, --system <message>   System message
+          -v, --verbose            Show detailed output
+          -h, --help               Show help
+          -V, --version            Show version
+
+        Authentication (required):
+          export AI_GATEWAY_API_KEY="your-key"     # Get from Vercel Dashboard (AI tab)
+          
+        Environment Variables:
+          AI_DEFAULT_MODEL: Default model to use
+          AI_SYSTEM: Default system message
+          AI_VERBOSE: Set to 'true' for detailed output
+
+        Examples:
+          npx ai "Hello, world!"
+          npx ai "Write a poem" -m anthropic/claude-3-5-sonnet
+          npx ai "Explain this code" -f script.js -f README.md
+          echo "What is life?" | npx ai
+          cat file.txt | npx ai "Summarize this content"
+          npx ai -f package.json "What dependencies does this project have?"
+
+        Unix-style piping:
+          echo "Hello world" | npx ai "Translate to French"
+          cat README.md | npx ai "Summarize this"
+          curl -s https://api.github.com/repos/vercel/ai | npx ai "What is this repository about?"
+          
+          The gateway supports OpenAI, Anthropic, Google, Groq, and more providers.
+          
+          For detailed setup instructions, visit: https://ai-sdk.dev/docs/cli/authentication"
+      `);
+
+      consoleSpy.mockRestore();
+    });
+
+    it('should show version', async () => {
+      const consoleSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
+
+      const { showVersion } = await import('./ai');
+      showVersion();
+
+      expect(consoleSpy.mock.calls[0][0]).toMatchInlineSnapshot(`"1.0.0"`);
+      consoleSpy.mockRestore();
+    });
+  });
+
+  describe('integration behavior', () => {
+    it('should upgrade model for image files', async () => {
+      const imageFile = createTestFile('fake-image', '.png');
+      process.argv = ['node', 'ai', '-f', imageFile, 'Describe this'];
+
+      const { parseArgs, readFileContent } = await import('./ai');
+      let options = parseArgs();
+
+      const attachedFiles = [readFileContent(imageFile)];
+      const hasImages = attachedFiles.some(f =>
+        f.mediaType?.startsWith('image/'),
+      );
+
+      if (hasImages && options.model === 'openai/gpt-4') {
+        options.model = 'openai/gpt-4o';
+      }
+
+      expect(options.model).toMatchInlineSnapshot(`"openai/gpt-4o"`);
+    });
+
+    it('should preserve explicitly set models', async () => {
+      const imageFile = createTestFile('fake-image', '.jpg');
+      process.argv = [
+        'node',
+        'ai',
+        '-m',
+        'anthropic/claude-3-5-sonnet',
+        '-f',
+        imageFile,
+        'Describe',
+      ];
+
+      const { parseArgs, readFileContent } = await import('./ai');
+      let options = parseArgs();
+
+      const attachedFiles = [readFileContent(imageFile)];
+      const hasImages = attachedFiles.some(f =>
+        f.mediaType?.startsWith('image/'),
+      );
+
+      if (hasImages && options.model === 'openai/gpt-4') {
+        options.model = 'openai/gpt-4o';
+      }
+
+      expect(options.model).toMatchInlineSnapshot(
+        `"anthropic/claude-3-5-sonnet"`,
+      );
+    });
+  });
+
+  describe('stdin detection', () => {
+    it('should detect stdin availability', async () => {
+      const originalIsTTY = process.stdin.isTTY;
+
+      process.stdin.isTTY = false;
+      const { isStdinAvailable } = await import('./ai');
+      expect(isStdinAvailable()).toMatchInlineSnapshot(`true`);
+
+      process.stdin.isTTY = true;
+      expect(isStdinAvailable()).toMatchInlineSnapshot(`false`);
+
+      process.stdin.isTTY = originalIsTTY;
+    });
+  });
+});
diff --git a/packages/ai/src/bin/ai.ts b/packages/ai/src/bin/ai.ts
new file mode 100644
index 000000000000..6119c39d3357
--- /dev/null
+++ b/packages/ai/src/bin/ai.ts
@@ -0,0 +1,382 @@
+import { streamText } from '../generate-text/stream-text';
+import { readFileSync, existsSync } from 'fs';
+import { resolve } from 'path';
+import { gateway } from '@ai-sdk/gateway';
+
+interface FileAttachment {
+  name: string;
+  content: string;
+  mediaType?: string;
+}
+
+interface CLIOptions {
+  model: string;
+  files: string[];
+  system?: string;
+  help: boolean;
+  version: boolean;
+  verbose: boolean;
+  prompt?: string;
+}
+
+export function isStdinAvailable(): boolean {
+  return !process.stdin.isTTY;
+}
+
+async function readStdin(): Promise<string> {
+  return new Promise(resolve => {
+    let data = '';
+    process.stdin.setEncoding('utf8');
+    process.stdin.on('data', chunk => {
+      data += chunk;
+    });
+    process.stdin.on('end', () => {
+      resolve(data.trim());
+    });
+  });
+}
+
+export function getMediaType(filePath: string): string {
+  const ext = filePath.split('.').pop()?.toLowerCase();
+  const mimeTypes: Record<string, string> = {
+    js: 'application/javascript',
+    ts: 'application/typescript',
+    jsx: 'text/jsx',
+    tsx: 'text/tsx',
+    json: 'application/json',
+    md: 'text/markdown',
+    txt: 'text/plain',
+    py: 'text/x-python',
+    html: 'text/html',
+    css: 'text/css',
+    xml: 'application/xml',
+    yaml: 'application/yaml',
+    yml: 'application/yaml',
+    jpg: 'image/jpeg',
+    jpeg: 'image/jpeg',
+    png: 'image/png',
+    gif: 'image/gif',
+    webp: 'image/webp',
+    svg: 'image/svg+xml',
+    bmp: 'image/bmp',
+    tiff: 'image/tiff',
+    tif: 'image/tiff',
+  };
+
+  return mimeTypes[ext || ''] || 'text/plain';
+}
+
+export function readFileContent(filePath: string): FileAttachment {
+  const absolutePath = resolve(filePath);
+
+  if (!existsSync(absolutePath)) {
+    throw new Error(`File not found: ${filePath}`);
+  }
+
+  const mediaType = getMediaType(filePath);
+  const isImage = mediaType.startsWith('image/');
+
+  let content: string;
+  if (isImage) {
+    const buffer = readFileSync(absolutePath);
+    content = `data:${mediaType};base64,${buffer.toString('base64')}`;
+  } else {
+    content = readFileSync(absolutePath, 'utf8');
+  }
+
+  return {
+    name: filePath,
+    content,
+    mediaType,
+  };
+}
+
+export function parseArgs(): CLIOptions {
+  const args = process.argv.slice(2);
+
+  const options: CLIOptions = {
+    model: process.env.AI_DEFAULT_MODEL || 'openai/gpt-4',
+    files: [],
+    help: false,
+    version: false,
+    verbose: process.env.AI_VERBOSE === 'true',
+    system: process.env.AI_SYSTEM,
+  };
+
+  const promptArgs: string[] = [];
+  let i = 0;
+
+  while (i < args.length) {
+    const arg = args[i];
+
+    switch (arg) {
+      case '-h':
+      case '--help':
+        options.help = true;
+        break;
+      case '-V':
+      case '--version':
+        options.version = true;
+        break;
+      case '-v':
+      case '--verbose':
+        options.verbose = true;
+        break;
+      case '-m':
+      case '--model':
+        if (i + 1 < args.length) {
+          options.model = args[i + 1];
+          i++;
+        } else {
+          throw new Error('Model option requires a value');
+        }
+        break;
+      case '-f':
+      case '--file':
+        if (i + 1 < args.length) {
+          options.files.push(args[i + 1]);
+          i++;
+        } else {
+          throw new Error('File option requires a value');
+        }
+        break;
+      case '-s':
+      case '--system':
+        if (i + 1 < args.length) {
+          options.system = args[i + 1];
+          i++;
+        } else {
+          throw new Error('System option requires a value');
+        }
+        break;
+      default:
+        if (arg.startsWith('-')) {
+          throw new Error(`Unknown option: ${arg}`);
+        } else {
+          promptArgs.push(arg);
+        }
+    }
+    i++;
+  }
+
+  if (promptArgs.length > 0) {
+    options.prompt = promptArgs.join(' ');
+  }
+
+  return options;
+}
+
+export function showHelp(): void {
+  console.log(`Usage: ai [options] [prompt]
+
+AI CLI - Stream text generation from various AI models
+
+Options:
+  -m, --model <model>      Model to use (default: "openai/gpt-4")
+                           Format: provider/model (e.g., anthropic/claude-3-5-sonnet)
+  -f, --file <file>        Attach file(s) to prompt
+  -s, --system <message>   System message
+  -v, --verbose            Show detailed output
+  -h, --help               Show help
+  -V, --version            Show version
+
+Authentication (required):
+  export AI_GATEWAY_API_KEY="your-key"     # Get from Vercel Dashboard (AI tab)
+  
+Environment Variables:
+  AI_DEFAULT_MODEL: Default model to use
+  AI_SYSTEM: Default system message
+  AI_VERBOSE: Set to 'true' for detailed output
+
+Examples:
+  npx ai "Hello, world!"
+  npx ai "Write a poem" -m anthropic/claude-3-5-sonnet
+  npx ai "Explain this code" -f script.js -f README.md
+  echo "What is life?" | npx ai
+  cat file.txt | npx ai "Summarize this content"
+  npx ai -f package.json "What dependencies does this project have?"
+
+Unix-style piping:
+  echo "Hello world" | npx ai "Translate to French"
+  cat README.md | npx ai "Summarize this"
+  curl -s https://api.github.com/repos/vercel/ai | npx ai "What is this repository about?"
+  
+  The gateway supports OpenAI, Anthropic, Google, Groq, and more providers.
+  
+  For detailed setup instructions, visit: https://ai-sdk.dev/docs/cli/authentication`);
+}
+
+export function showVersion() {
+  console.log('1.0.0');
+}
+
+export function resolveModel(modelString: string) {
+  return gateway.languageModel(modelString);
+}
+
+export function formatAttachedFiles(files: FileAttachment[]): string {
+  if (files.length === 0) return '';
+
+  const textFiles = files.filter(f => !f.mediaType?.startsWith('image/'));
+
+  if (textFiles.length === 0) return '';
+
+  let result = '\n\nAttached files:\n';
+
+  for (const file of textFiles) {
+    result += `\n--- ${file.name} ---\n`;
+    result += file.content;
+    result += '\n';
+  }
+
+  return result;
+}
+
+export async function main(): Promise<void> {
+  try {
+    const options = parseArgs();
+
+    if (options.help) {
+      showHelp();
+      return;
+    }
+
+    if (options.version) {
+      showVersion();
+      return;
+    }
+
+    let prompt = options.prompt || '';
+
+    if (isStdinAvailable()) {
+      const stdinContent = await readStdin();
+      if (stdinContent) {
+        prompt = prompt ? `${stdinContent}\n\n${prompt}` : stdinContent;
+      }
+    }
+
+    if (!prompt.trim()) {
+      console.error(
+        'Error: No prompt provided. Use --help for usage information.',
+      );
+      process.exit(1);
+    }
+
+    const attachedFiles: FileAttachment[] = [];
+    for (const filePath of options.files) {
+      try {
+        const file = readFileContent(filePath);
+        attachedFiles.push(file);
+      } catch (error) {
+        console.error(
+          `Error reading file ${filePath}: ${error instanceof Error ? error.message : 'Unknown error'}`,
+        );
+        process.exit(1);
+      }
+    }
+
+    const textPrompt = prompt + formatAttachedFiles(attachedFiles);
+    const imageFiles = attachedFiles.filter(f =>
+      f.mediaType?.startsWith('image/'),
+    );
+
+    if (imageFiles.length > 0 && options.model === 'openai/gpt-4') {
+      options.model = 'openai/gpt-4o';
+    }
+
+    if (options.verbose) {
+      console.error(`Using model: ${options.model}`);
+      if (attachedFiles.length > 0) {
+        console.error(
+          `Attached files: ${attachedFiles.map(f => f.name).join(', ')}`,
+        );
+      }
+      console.error('');
+    }
+
+    const hasApiKey = process.env.AI_GATEWAY_API_KEY;
+    if (!hasApiKey) {
+      console.error(`Error: Authentication required.
+
+Set up authentication with one of these options:
+
+  # Option 1: Export in current session
+  export AI_GATEWAY_API_KEY="your-key-here"
+  export AI_DEFAULT_MODEL="anthropic/claude-3-5-sonnet"
+
+  # Option 2: Add to shell profile (~/.bashrc, ~/.zshrc)
+  echo 'export AI_GATEWAY_API_KEY="your-key"' >> ~/.bashrc
+  
+Get your API key from the Vercel Dashboard (AI tab > API keys).
+Use --help for more details and examples.`);
+      process.exit(1);
+    }
+
+    const model = resolveModel(options.model);
+
+    let messages;
+    if (imageFiles.length > 0) {
+      const content: Array<
+        { type: 'text'; text: string } | { type: 'image'; image: string }
+      > = [{ type: 'text' as const, text: textPrompt }];
+
+      for (const img of imageFiles) {
+        content.push({
+          type: 'image' as const,
+          image: img.content,
+        });
+      }
+
+      messages = [{ role: 'user' as const, content }];
+    }
+
+    const result = await streamText(
+      messages
+        ? {
+            model,
+            messages,
+            system: options.system,
+          }
+        : {
+            model,
+            prompt: textPrompt,
+            system: options.system,
+          },
+    );
+
+    for await (const chunk of result.textStream) {
+      process.stdout.write(chunk);
+    }
+
+    process.stdout.write('\n');
+
+    if (options.verbose) {
+      const usage = await result.usage;
+      if (usage) {
+        console.error(
+          `\nUsage: ${usage.inputTokens} prompt + ${usage.outputTokens} completion = ${usage.totalTokens} total tokens`,
+        );
+      }
+    }
+  } catch (error) {
+    console.error(
+      `Error: ${error instanceof Error ? error.message : 'Unknown error'}`,
+    );
+    process.exit(1);
+  }
+}
+
+process.on('SIGINT', () => {
+  process.exit(0);
+});
+
+process.on('SIGTERM', () => {
+  process.exit(0);
+});
+
+main().catch(error => {
+  console.error(
+    `Fatal error: ${error instanceof Error ? error.message : 'Unknown error'}`,
+  );
+  process.exit(1);
+});
diff --git a/packages/ai/core/embed/__snapshots__/embed-many.test.ts.snap b/packages/ai/src/embed/__snapshots__/embed-many.test.ts.snap
similarity index 100%
rename from packages/ai/core/embed/__snapshots__/embed-many.test.ts.snap
rename to packages/ai/src/embed/__snapshots__/embed-many.test.ts.snap
diff --git a/packages/ai/core/embed/__snapshots__/embed.test.ts.snap b/packages/ai/src/embed/__snapshots__/embed.test.ts.snap
similarity index 100%
rename from packages/ai/core/embed/__snapshots__/embed.test.ts.snap
rename to packages/ai/src/embed/__snapshots__/embed.test.ts.snap
diff --git a/packages/ai/core/embed/embed-many-result.ts b/packages/ai/src/embed/embed-many-result.ts
similarity index 100%
rename from packages/ai/core/embed/embed-many-result.ts
rename to packages/ai/src/embed/embed-many-result.ts
diff --git a/packages/ai/core/embed/embed-many.test.ts b/packages/ai/src/embed/embed-many.test.ts
similarity index 100%
rename from packages/ai/core/embed/embed-many.test.ts
rename to packages/ai/src/embed/embed-many.test.ts
diff --git a/packages/ai/core/embed/embed-many.ts b/packages/ai/src/embed/embed-many.ts
similarity index 97%
rename from packages/ai/core/embed/embed-many.ts
rename to packages/ai/src/embed/embed-many.ts
index ef35e6d84c07..1117ba367e16 100644
--- a/packages/ai/core/embed/embed-many.ts
+++ b/packages/ai/src/embed/embed-many.ts
@@ -1,6 +1,7 @@
 import { ProviderOptions } from '@ai-sdk/provider-utils';
 import { prepareRetries } from '../../src/util/prepare-retries';
 import { splitArray } from '../../src/util/split-array';
+import { UnsupportedModelVersionError } from '../error/unsupported-model-version-error';
 import { assembleOperationName } from '../telemetry/assemble-operation-name';
 import { getBaseTelemetryAttributes } from '../telemetry/get-base-telemetry-attributes';
 import { getTracer } from '../telemetry/get-tracer';
@@ -83,6 +84,14 @@ Only applicable for HTTP-based providers.
    */
   maxParallelCalls?: number;
 }): Promise<EmbedManyResult<VALUE>> {
+  if (model.specificationVersion !== 'v2') {
+    throw new UnsupportedModelVersionError({
+      version: model.specificationVersion,
+      provider: model.provider,
+      modelId: model.modelId,
+    });
+  }
+
   const { maxRetries, retry } = prepareRetries({ maxRetries: maxRetriesArg });
 
   const baseTelemetryAttributes = getBaseTelemetryAttributes({
diff --git a/packages/ai/core/embed/embed-result.ts b/packages/ai/src/embed/embed-result.ts
similarity index 100%
rename from packages/ai/core/embed/embed-result.ts
rename to packages/ai/src/embed/embed-result.ts
diff --git a/packages/ai/core/embed/embed.test.ts b/packages/ai/src/embed/embed.test.ts
similarity index 100%
rename from packages/ai/core/embed/embed.test.ts
rename to packages/ai/src/embed/embed.test.ts
diff --git a/packages/ai/core/embed/embed.ts b/packages/ai/src/embed/embed.ts
similarity index 94%
rename from packages/ai/core/embed/embed.ts
rename to packages/ai/src/embed/embed.ts
index 64173d2b575e..663d5b4cf305 100644
--- a/packages/ai/core/embed/embed.ts
+++ b/packages/ai/src/embed/embed.ts
@@ -1,5 +1,6 @@
 import { ProviderOptions } from '@ai-sdk/provider-utils';
 import { prepareRetries } from '../../src/util/prepare-retries';
+import { UnsupportedModelVersionError } from '../error/unsupported-model-version-error';
 import { assembleOperationName } from '../telemetry/assemble-operation-name';
 import { getBaseTelemetryAttributes } from '../telemetry/get-base-telemetry-attributes';
 import { getTracer } from '../telemetry/get-tracer';
@@ -70,6 +71,14 @@ Only applicable for HTTP-based providers.
    */
   experimental_telemetry?: TelemetrySettings;
 }): Promise<EmbedResult<VALUE>> {
+  if (model.specificationVersion !== 'v2') {
+    throw new UnsupportedModelVersionError({
+      version: model.specificationVersion,
+      provider: model.provider,
+      modelId: model.modelId,
+    });
+  }
+
   const { maxRetries, retry } = prepareRetries({ maxRetries: maxRetriesArg });
 
   const baseTelemetryAttributes = getBaseTelemetryAttributes({
diff --git a/packages/ai/core/embed/index.ts b/packages/ai/src/embed/index.ts
similarity index 100%
rename from packages/ai/core/embed/index.ts
rename to packages/ai/src/embed/index.ts
diff --git a/packages/ai/src/error/index.ts b/packages/ai/src/error/index.ts
index 21781c841eba..d597ea702f3b 100644
--- a/packages/ai/src/error/index.ts
+++ b/packages/ai/src/error/index.ts
@@ -21,9 +21,10 @@ export { NoObjectGeneratedError } from './no-object-generated-error';
 export { NoOutputSpecifiedError } from './no-output-specified-error';
 export { NoSuchToolError } from './no-such-tool-error';
 export { ToolCallRepairError } from './tool-call-repair-error';
+export { UnsupportedModelVersionError } from './unsupported-model-version-error';
 
-export { InvalidDataContentError } from '../../core/prompt/invalid-data-content-error';
-export { InvalidMessageRoleError } from '../../core/prompt/invalid-message-role-error';
-export { MessageConversionError } from '../../core/prompt/message-conversion-error';
+export { InvalidDataContentError } from '../prompt/invalid-data-content-error';
+export { InvalidMessageRoleError } from '../prompt/invalid-message-role-error';
+export { MessageConversionError } from '../prompt/message-conversion-error';
 export { DownloadError } from '../util/download-error';
 export { RetryError } from '../util/retry-error';
diff --git a/packages/ai/src/error/invalid-stream-part-error.ts b/packages/ai/src/error/invalid-stream-part-error.ts
index 9692d31146ce..ca00c33cab3d 100644
--- a/packages/ai/src/error/invalid-stream-part-error.ts
+++ b/packages/ai/src/error/invalid-stream-part-error.ts
@@ -1,5 +1,5 @@
 import { AISDKError } from '@ai-sdk/provider';
-import { SingleRequestTextStreamPart } from '../../core/generate-text/run-tools-transformation';
+import { SingleRequestTextStreamPart } from '../generate-text/run-tools-transformation';
 
 const name = 'AI_InvalidStreamPartError';
 const marker = `vercel.ai.error.${name}`;
diff --git a/packages/ai/src/error/no-image-generated-error.ts b/packages/ai/src/error/no-image-generated-error.ts
index 7ab3c27aefe7..38006aa09295 100644
--- a/packages/ai/src/error/no-image-generated-error.ts
+++ b/packages/ai/src/error/no-image-generated-error.ts
@@ -1,5 +1,5 @@
 import { AISDKError } from '@ai-sdk/provider';
-import { ImageModelResponseMetadata } from '../../core/types/image-model-response-metadata';
+import { ImageModelResponseMetadata } from '../types/image-model-response-metadata';
 
 const name = 'AI_NoImageGeneratedError';
 const marker = `vercel.ai.error.${name}`;
diff --git a/packages/ai/src/error/no-object-generated-error.ts b/packages/ai/src/error/no-object-generated-error.ts
index d016c75250df..58f37f930733 100644
--- a/packages/ai/src/error/no-object-generated-error.ts
+++ b/packages/ai/src/error/no-object-generated-error.ts
@@ -1,7 +1,7 @@
 import { AISDKError } from '@ai-sdk/provider';
-import { FinishReason } from '../../core/types/language-model';
-import { LanguageModelResponseMetadata } from '../../core/types/language-model-response-metadata';
-import { LanguageModelUsage } from '../../core/types/usage';
+import { FinishReason } from '../types/language-model';
+import { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';
+import { LanguageModelUsage } from '../types/usage';
 
 const name = 'AI_NoObjectGeneratedError';
 const marker = `vercel.ai.error.${name}`;
diff --git a/packages/ai/src/error/no-speech-generated-error.ts b/packages/ai/src/error/no-speech-generated-error.ts
index ce548a1999fe..369dd7a213a3 100644
--- a/packages/ai/src/error/no-speech-generated-error.ts
+++ b/packages/ai/src/error/no-speech-generated-error.ts
@@ -1,5 +1,5 @@
 import { AISDKError } from '@ai-sdk/provider';
-import { SpeechModelResponseMetadata } from '../../core/types/speech-model-response-metadata';
+import { SpeechModelResponseMetadata } from '../types/speech-model-response-metadata';
 
 /**
 Error that is thrown when no speech audio was generated.
diff --git a/packages/ai/src/error/no-transcript-generated-error.ts b/packages/ai/src/error/no-transcript-generated-error.ts
index ae7c5204fd5a..d66723c4abca 100644
--- a/packages/ai/src/error/no-transcript-generated-error.ts
+++ b/packages/ai/src/error/no-transcript-generated-error.ts
@@ -1,5 +1,5 @@
 import { AISDKError } from '@ai-sdk/provider';
-import { TranscriptionModelResponseMetadata } from '../../core/types/transcription-model-response-metadata';
+import { TranscriptionModelResponseMetadata } from '../types/transcription-model-response-metadata';
 
 /**
 Error that is thrown when no transcript was generated.
diff --git a/packages/ai/src/error/unsupported-model-version-error.ts b/packages/ai/src/error/unsupported-model-version-error.ts
new file mode 100644
index 000000000000..e1217578da05
--- /dev/null
+++ b/packages/ai/src/error/unsupported-model-version-error.ts
@@ -0,0 +1,23 @@
+import { AISDKError } from '@ai-sdk/provider';
+
+/**
+Error that is thrown when a model with an unsupported version is used.
+ */
+export class UnsupportedModelVersionError extends AISDKError {
+  readonly version: string;
+  readonly provider: string;
+  readonly modelId: string;
+
+  constructor(options: { version: string; provider: string; modelId: string }) {
+    super({
+      name: 'AI_UnsupportedModelVersionError',
+      message:
+        `Unsupported model version ${options.version} for provider "${options.provider}" and model "${options.modelId}". ` +
+        `AI SDK 5 only supports models that implement specification version "v2".`,
+    });
+
+    this.version = options.version;
+    this.provider = options.provider;
+    this.modelId = options.modelId;
+  }
+}
diff --git a/packages/ai/core/generate-image/generate-image-result.ts b/packages/ai/src/generate-image/generate-image-result.ts
similarity index 100%
rename from packages/ai/core/generate-image/generate-image-result.ts
rename to packages/ai/src/generate-image/generate-image-result.ts
diff --git a/packages/ai/core/generate-image/generate-image.test.ts b/packages/ai/src/generate-image/generate-image.test.ts
similarity index 100%
rename from packages/ai/core/generate-image/generate-image.test.ts
rename to packages/ai/src/generate-image/generate-image.test.ts
diff --git a/packages/ai/core/generate-image/generate-image.ts b/packages/ai/src/generate-image/generate-image.ts
similarity index 95%
rename from packages/ai/core/generate-image/generate-image.ts
rename to packages/ai/src/generate-image/generate-image.ts
index 32c108b32a2a..0838fce7e75d 100644
--- a/packages/ai/core/generate-image/generate-image.ts
+++ b/packages/ai/src/generate-image/generate-image.ts
@@ -1,10 +1,12 @@
 import { ImageModelV2, ImageModelV2ProviderMetadata } from '@ai-sdk/provider';
+import { ProviderOptions } from '@ai-sdk/provider-utils';
 import { NoImageGeneratedError } from '../../src/error/no-image-generated-error';
 import {
   detectMediaType,
   imageMediaTypeSignatures,
 } from '../../src/util/detect-media-type';
 import { prepareRetries } from '../../src/util/prepare-retries';
+import { UnsupportedModelVersionError } from '../error/unsupported-model-version-error';
 import {
   DefaultGeneratedFile,
   GeneratedFile,
@@ -12,7 +14,6 @@ import {
 import { ImageGenerationWarning } from '../types/image-model';
 import { ImageModelResponseMetadata } from '../types/image-model-response-metadata';
 import { GenerateImageResult } from './generate-image-result';
-import { ProviderOptions } from '@ai-sdk/provider-utils';
 
 /**
 Generates images using an image model.
@@ -113,6 +114,14 @@ Only applicable for HTTP-based providers.
  */
   headers?: Record<string, string>;
 }): Promise<GenerateImageResult> {
+  if (model.specificationVersion !== 'v2') {
+    throw new UnsupportedModelVersionError({
+      version: model.specificationVersion,
+      provider: model.provider,
+      modelId: model.modelId,
+    });
+  }
+
   const { retry } = prepareRetries({ maxRetries: maxRetriesArg });
 
   // default to 1 if the model has not specified limits on
diff --git a/packages/ai/core/generate-image/index.ts b/packages/ai/src/generate-image/index.ts
similarity index 100%
rename from packages/ai/core/generate-image/index.ts
rename to packages/ai/src/generate-image/index.ts
diff --git a/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap b/packages/ai/src/generate-object/__snapshots__/generate-object.test.ts.snap
similarity index 96%
rename from packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap
rename to packages/ai/src/generate-object/__snapshots__/generate-object.test.ts.snap
index b77b9473e996..264ddbd8124d 100644
--- a/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap
+++ b/packages/ai/src/generate-object/__snapshots__/generate-object.test.ts.snap
@@ -58,6 +58,7 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
       "ai.response.object": "{"content":"Hello, world!"}",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.schema": "{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"content":{"type":"string"}},"required":["content"],"additionalProperties":false}",
       "ai.schema.description": "test description",
       "ai.schema.name": "test-name",
@@ -91,6 +92,7 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "ai.response.id": "test-id-from-model",
       "ai.response.model": "test-response-model-id",
       "ai.response.object": "{ "content": "Hello, world!" }",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.maxRetries": 2,
diff --git a/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap b/packages/ai/src/generate-object/__snapshots__/stream-object.test.ts.snap
similarity index 96%
rename from packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap
rename to packages/ai/src/generate-object/__snapshots__/stream-object.test.ts.snap
index 3d2dd9d27416..f4a1deda8a2d 100644
--- a/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap
+++ b/packages/ai/src/generate-object/__snapshots__/stream-object.test.ts.snap
@@ -96,6 +96,11 @@ exports[`streamObject > output = "object" > result.fullStream > should send full
   },
   {
     "finishReason": "stop",
+    "providerMetadata": {
+      "testProvider": {
+        "testKey": "testValue",
+      },
+    },
     "response": {
       "id": "id-0",
       "modelId": "mock-model-id",
@@ -181,6 +186,7 @@ exports[`streamObject > telemetry > should record telemetry data when enabled 1`
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.object": "{"content":"Hello, world!"}",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.schema": "{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"content":{"type":"string"}},"required":["content"],"additionalProperties":false}",
       "ai.schema.description": "test description",
       "ai.schema.name": "test-name",
@@ -215,6 +221,7 @@ exports[`streamObject > telemetry > should record telemetry data when enabled 1`
       "ai.response.id": "id-0",
       "ai.response.model": "mock-model-id",
       "ai.response.object": "{"content":"Hello, world!"}",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.maxRetries": 2,
diff --git a/packages/ai/core/generate-object/generate-object-result.ts b/packages/ai/src/generate-object/generate-object-result.ts
similarity index 100%
rename from packages/ai/core/generate-object/generate-object-result.ts
rename to packages/ai/src/generate-object/generate-object-result.ts
diff --git a/packages/ai/core/generate-object/generate-object.test-d.ts b/packages/ai/src/generate-object/generate-object.test-d.ts
similarity index 100%
rename from packages/ai/core/generate-object/generate-object.test-d.ts
rename to packages/ai/src/generate-object/generate-object.test-d.ts
diff --git a/packages/ai/core/generate-object/generate-object.test.ts b/packages/ai/src/generate-object/generate-object.test.ts
similarity index 99%
rename from packages/ai/core/generate-object/generate-object.test.ts
rename to packages/ai/src/generate-object/generate-object.test.ts
index 74e055524bcf..3a6316972cd4 100644
--- a/packages/ai/core/generate-object/generate-object.test.ts
+++ b/packages/ai/src/generate-object/generate-object.test.ts
@@ -910,6 +910,11 @@ describe('telemetry', () => {
             timestamp: new Date(10000),
             modelId: 'test-response-model-id',
           },
+          providerMetadata: {
+            testProvider: {
+              testKey: 'testValue',
+            },
+          },
         }),
       }),
       schema: z.object({ content: z.string() }),
diff --git a/packages/ai/core/generate-object/generate-object.ts b/packages/ai/src/generate-object/generate-object.ts
similarity index 98%
rename from packages/ai/core/generate-object/generate-object.ts
rename to packages/ai/src/generate-object/generate-object.ts
index 1c18b5574940..5d42411f1fc4 100644
--- a/packages/ai/core/generate-object/generate-object.ts
+++ b/packages/ai/src/generate-object/generate-object.ts
@@ -121,7 +121,10 @@ functionality that can be fully encapsulated in the provider.
 A result object that contains the generated object, the finish reason, the token usage, and additional information.
  */
 export async function generateObject<
-  SCHEMA extends z3.Schema | z4.ZodType | Schema = z4.ZodType<JSONValue>,
+  SCHEMA extends
+    | z3.Schema
+    | z4.core.$ZodType
+    | Schema = z4.core.$ZodType<JSONValue>,
   OUTPUT extends
     | 'object'
     | 'array'
@@ -387,6 +390,9 @@ Default and recommended: 'auto' (best mode for the model).
                     'ai.response.model': responseData.modelId,
                     'ai.response.timestamp':
                       responseData.timestamp.toISOString(),
+                    'ai.response.providerMetadata': JSON.stringify(
+                      result.providerMetadata,
+                    ),
 
                     // TODO rename telemetry attributes to inputTokens and outputTokens
                     'ai.usage.promptTokens': result.usage.inputTokens,
@@ -486,6 +492,9 @@ Default and recommended: 'auto' (best mode for the model).
               'ai.response.object': {
                 output: () => JSON.stringify(object),
               },
+              'ai.response.providerMetadata': JSON.stringify(
+                resultProviderMetadata,
+              ),
 
               // TODO rename telemetry attributes to inputTokens and outputTokens
               'ai.usage.promptTokens': usage.inputTokens,
diff --git a/packages/ai/core/generate-object/index.ts b/packages/ai/src/generate-object/index.ts
similarity index 100%
rename from packages/ai/core/generate-object/index.ts
rename to packages/ai/src/generate-object/index.ts
diff --git a/packages/ai/core/generate-object/inject-json-instruction.test.ts b/packages/ai/src/generate-object/inject-json-instruction.test.ts
similarity index 100%
rename from packages/ai/core/generate-object/inject-json-instruction.test.ts
rename to packages/ai/src/generate-object/inject-json-instruction.test.ts
diff --git a/packages/ai/core/generate-object/inject-json-instruction.ts b/packages/ai/src/generate-object/inject-json-instruction.ts
similarity index 100%
rename from packages/ai/core/generate-object/inject-json-instruction.ts
rename to packages/ai/src/generate-object/inject-json-instruction.ts
diff --git a/packages/ai/core/generate-object/output-strategy.ts b/packages/ai/src/generate-object/output-strategy.ts
similarity index 99%
rename from packages/ai/core/generate-object/output-strategy.ts
rename to packages/ai/src/generate-object/output-strategy.ts
index 6fcb1990e235..d75d35cbc32c 100644
--- a/packages/ai/core/generate-object/output-strategy.ts
+++ b/packages/ai/src/generate-object/output-strategy.ts
@@ -394,7 +394,7 @@ export function getOutputStrategy<SCHEMA>({
 }: {
   output: 'object' | 'array' | 'enum' | 'no-schema';
   schema?:
-    | z4.ZodType<SCHEMA, any>
+    | z4.core.$ZodType<SCHEMA, any>
     | z3.Schema<SCHEMA, z3.ZodTypeDef, any>
     | Schema<SCHEMA>;
   enumValues?: Array<SCHEMA>;
diff --git a/packages/ai/core/generate-object/stream-object-result.ts b/packages/ai/src/generate-object/stream-object-result.ts
similarity index 100%
rename from packages/ai/core/generate-object/stream-object-result.ts
rename to packages/ai/src/generate-object/stream-object-result.ts
diff --git a/packages/ai/core/generate-object/stream-object.test-d.ts b/packages/ai/src/generate-object/stream-object.test-d.ts
similarity index 100%
rename from packages/ai/core/generate-object/stream-object.test-d.ts
rename to packages/ai/src/generate-object/stream-object.test-d.ts
diff --git a/packages/ai/core/generate-object/stream-object.test.ts b/packages/ai/src/generate-object/stream-object.test.ts
similarity index 99%
rename from packages/ai/core/generate-object/stream-object.test.ts
rename to packages/ai/src/generate-object/stream-object.test.ts
index 5ebf63610020..83121fb67a45 100644
--- a/packages/ai/core/generate-object/stream-object.test.ts
+++ b/packages/ai/src/generate-object/stream-object.test.ts
@@ -55,6 +55,11 @@ function createTestModel({
       type: 'finish',
       finishReason: 'stop',
       usage: testUsage,
+      providerMetadata: {
+        testProvider: {
+          testKey: 'testValue',
+        },
+      },
     },
   ]),
   request = undefined,
@@ -1394,6 +1399,11 @@ describe('streamObject', () => {
               type: 'finish',
               finishReason: 'stop',
               usage: testUsage,
+              providerMetadata: {
+                testProvider: {
+                  testKey: 'testValue',
+                },
+              },
             },
           ]),
         }),
diff --git a/packages/ai/core/generate-object/stream-object.ts b/packages/ai/src/generate-object/stream-object.ts
similarity index 98%
rename from packages/ai/core/generate-object/stream-object.ts
rename to packages/ai/src/generate-object/stream-object.ts
index d7a4cf4ef512..dbd84f9551b0 100644
--- a/packages/ai/core/generate-object/stream-object.ts
+++ b/packages/ai/src/generate-object/stream-object.ts
@@ -162,7 +162,10 @@ functionality that can be fully encapsulated in the provider.
 A result object for accessing the partial object stream and additional information.
  */
 export function streamObject<
-  SCHEMA extends z3.Schema | z4.ZodType | Schema = z4.ZodType<JSONValue>,
+  SCHEMA extends
+    | z3.Schema
+    | z4.core.$ZodType
+    | Schema = z4.core.$ZodType<JSONValue>,
   OUTPUT extends
     | 'object'
     | 'array'
@@ -758,6 +761,8 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
                         'ai.response.model': fullResponse.modelId,
                         'ai.response.timestamp':
                           fullResponse.timestamp.toISOString(),
+                        'ai.response.providerMetadata':
+                          JSON.stringify(providerMetadata),
 
                         'ai.usage.inputTokens': finalUsage.inputTokens,
                         'ai.usage.outputTokens': finalUsage.outputTokens,
@@ -793,6 +798,8 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
                         'ai.response.object': {
                           output: () => JSON.stringify(object),
                         },
+                        'ai.response.providerMetadata':
+                          JSON.stringify(providerMetadata),
                       },
                     }),
                   );
diff --git a/packages/ai/core/generate-object/validate-object-generation-input.ts b/packages/ai/src/generate-object/validate-object-generation-input.ts
similarity index 96%
rename from packages/ai/core/generate-object/validate-object-generation-input.ts
rename to packages/ai/src/generate-object/validate-object-generation-input.ts
index fe953e4e54b4..c7b5c64ad9e4 100644
--- a/packages/ai/core/generate-object/validate-object-generation-input.ts
+++ b/packages/ai/src/generate-object/validate-object-generation-input.ts
@@ -1,6 +1,6 @@
 import { Schema } from '@ai-sdk/provider-utils';
 import * as z3 from 'zod/v3';
-import * as z4 from 'zod/v4/core';
+import * as z4 from 'zod/v4';
 import { InvalidArgumentError } from '../../src/error/invalid-argument-error';
 
 export function validateObjectGenerationInput({
@@ -11,10 +11,7 @@ export function validateObjectGenerationInput({
   enumValues,
 }: {
   output?: 'object' | 'array' | 'enum' | 'no-schema';
-  schema?:
-    | z4.$ZodType<any, any>
-    | z3.Schema<any, z3.ZodTypeDef, any>
-    | Schema<any>;
+  schema?: z4.core.$ZodType | z3.Schema<any, z3.ZodTypeDef, any> | Schema<any>;
   schemaName?: string;
   schemaDescription?: string;
   enumValues?: Array<unknown>;
diff --git a/packages/ai/core/generate-speech/generate-speech-result.ts b/packages/ai/src/generate-speech/generate-speech-result.ts
similarity index 100%
rename from packages/ai/core/generate-speech/generate-speech-result.ts
rename to packages/ai/src/generate-speech/generate-speech-result.ts
diff --git a/packages/ai/core/generate-speech/generate-speech.test.ts b/packages/ai/src/generate-speech/generate-speech.test.ts
similarity index 100%
rename from packages/ai/core/generate-speech/generate-speech.test.ts
rename to packages/ai/src/generate-speech/generate-speech.test.ts
diff --git a/packages/ai/core/generate-speech/generate-speech.ts b/packages/ai/src/generate-speech/generate-speech.ts
similarity index 93%
rename from packages/ai/core/generate-speech/generate-speech.ts
rename to packages/ai/src/generate-speech/generate-speech.ts
index ef4633f1f3ad..85ada6dc8020 100644
--- a/packages/ai/core/generate-speech/generate-speech.ts
+++ b/packages/ai/src/generate-speech/generate-speech.ts
@@ -1,10 +1,12 @@
 import { JSONValue, SpeechModelV2 } from '@ai-sdk/provider';
+import { ProviderOptions } from '@ai-sdk/provider-utils';
 import { NoSpeechGeneratedError } from '../../src/error/no-speech-generated-error';
 import {
   audioMediaTypeSignatures,
   detectMediaType,
 } from '../../src/util/detect-media-type';
 import { prepareRetries } from '../../src/util/prepare-retries';
+import { UnsupportedModelVersionError } from '../error/unsupported-model-version-error';
 import { SpeechWarning } from '../types/speech-model';
 import { SpeechModelResponseMetadata } from '../types/speech-model-response-metadata';
 import { SpeechResult } from './generate-speech-result';
@@ -12,7 +14,6 @@ import {
   DefaultGeneratedAudioFile,
   GeneratedAudioFile,
 } from './generated-audio-file';
-import { ProviderOptions } from '@ai-sdk/provider-utils';
 
 /**
 Generates speech audio using a speech model.
@@ -112,6 +113,14 @@ Only applicable for HTTP-based providers.
  */
   headers?: Record<string, string>;
 }): Promise<SpeechResult> {
+  if (model.specificationVersion !== 'v2') {
+    throw new UnsupportedModelVersionError({
+      version: model.specificationVersion,
+      provider: model.provider,
+      modelId: model.modelId,
+    });
+  }
+
   const { retry } = prepareRetries({ maxRetries: maxRetriesArg });
 
   const result = await retry(() =>
diff --git a/packages/ai/core/generate-speech/generated-audio-file.ts b/packages/ai/src/generate-speech/generated-audio-file.ts
similarity index 100%
rename from packages/ai/core/generate-speech/generated-audio-file.ts
rename to packages/ai/src/generate-speech/generated-audio-file.ts
diff --git a/packages/ai/core/generate-speech/index.ts b/packages/ai/src/generate-speech/index.ts
similarity index 100%
rename from packages/ai/core/generate-speech/index.ts
rename to packages/ai/src/generate-speech/index.ts
diff --git a/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap b/packages/ai/src/generate-text/__snapshots__/generate-text.test.ts.snap
similarity index 95%
rename from packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap
rename to packages/ai/src/generate-text/__snapshots__/generate-text.test.ts.snap
index af737336fff0..ea43d5a5f79c 100644
--- a/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap
+++ b/packages/ai/src/generate-text/__snapshots__/generate-text.test.ts.snap
@@ -9,6 +9,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > onSte
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerMetadata": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -38,6 +39,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > onSte
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -96,6 +98,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > onSte
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -120,6 +123,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > onSte
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -151,6 +155,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerOptions": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -175,6 +180,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
   {
     "content": [
       {
+        "providerOptions": undefined,
         "text": "Hello, world!",
         "type": "text",
       },
@@ -193,6 +199,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerMetadata": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -222,6 +229,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -280,6 +288,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -304,6 +313,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result > resul
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -335,6 +345,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerMetadata": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -364,6 +375,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -422,6 +434,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -446,6 +459,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -477,6 +491,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerOptions": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -501,6 +516,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
   {
     "content": [
       {
+        "providerOptions": undefined,
         "text": "Hello, world!",
         "type": "text",
       },
@@ -519,6 +535,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerMetadata": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -548,6 +565,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -606,6 +624,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -630,6 +649,7 @@ exports[`generateText > options.stopWhen > 2 steps: initial, tool-result with pr
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -682,6 +702,7 @@ exports[`generateText > result.response > should contain response body and heade
     {
       "content": [
         {
+          "providerOptions": undefined,
           "text": "Hello, world!",
           "type": "text",
         },
@@ -705,6 +726,7 @@ exports[`generateText > result.response > should contain response body and heade
     {
       "content": [
         {
+          "providerOptions": undefined,
           "text": "Hello, world!",
           "type": "text",
         },
@@ -722,6 +744,7 @@ exports[`generateText > result.response.messages > should contain assistant resp
   {
     "content": [
       {
+        "providerOptions": undefined,
         "text": "Hello, world!",
         "type": "text",
       },
@@ -730,6 +753,7 @@ exports[`generateText > result.response.messages > should contain assistant resp
           "value": "value",
         },
         "providerExecuted": undefined,
+        "providerOptions": undefined,
         "toolCallId": "call-1",
         "toolName": "tool1",
         "type": "tool-call",
@@ -759,6 +783,7 @@ exports[`generateText > result.response.messages > should contain assistant resp
   {
     "content": [
       {
+        "providerOptions": undefined,
         "text": "Hello, world!",
         "type": "text",
       },
@@ -791,6 +816,7 @@ exports[`generateText > result.response.messages > should contain reasoning 1`]
         "type": "reasoning",
       },
       {
+        "providerOptions": undefined,
         "text": "Hello, world!",
         "type": "text",
       },
@@ -885,6 +911,7 @@ exports[`generateText > result.steps > should add the reasoning from the model r
               "type": "reasoning",
             },
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -947,17 +974,20 @@ exports[`generateText > result.steps > should contain files 1`] = `
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
             {
               "data": "AQID",
               "mediaType": "image/png",
+              "providerOptions": undefined,
               "type": "file",
             },
             {
               "data": "QkFVRw==",
               "mediaType": "image/jpeg",
+              "providerOptions": undefined,
               "type": "file",
             },
           ],
@@ -1023,6 +1053,7 @@ exports[`generateText > result.steps > should contain sources 1`] = `
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Hello, world!",
               "type": "text",
             },
@@ -1115,6 +1146,7 @@ exports[`generateText > telemetry > should record telemetry data when enabled 1`
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.text": "Hello, world!",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.maxRetries": 2,
@@ -1147,6 +1179,7 @@ exports[`generateText > telemetry > should record telemetry data when enabled 1`
       "ai.response.finishReason": "stop",
       "ai.response.id": "test-id-from-model",
       "ai.response.model": "test-response-model-id",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.text": "Hello, world!",
       "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.settings.frequencyPenalty": 0.3,
diff --git a/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap b/packages/ai/src/generate-text/__snapshots__/stream-text.test.ts.snap
similarity index 95%
rename from packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap
rename to packages/ai/src/generate-text/__snapshots__/stream-text.test.ts.snap
index 50091e9abea9..4c85d04424ec 100644
--- a/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap
+++ b/packages/ai/src/generate-text/__snapshots__/stream-text.test.ts.snap
@@ -142,6 +142,7 @@ exports[`streamText > options.transform > with base transformation > telemetry s
       "ai.operationId": "ai.streamText",
       "ai.prompt": "{"prompt":"test-input"}",
       "ai.response.finishReason": "stop",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"TEST VALUE"}}",
       "ai.response.text": "HELLO, WORLD!",
       "ai.response.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","input":{"value":"VALUE"}}]",
       "ai.settings.maxRetries": 2,
@@ -169,6 +170,7 @@ exports[`streamText > options.transform > with base transformation > telemetry s
       "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.text": "Hello, world!",
       "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.response.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","input":{"value":"VALUE"}}]",
@@ -248,6 +250,7 @@ exports[`streamText > result.fullStream > should send delayed asynchronous tool
       "value": "value",
     },
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-call",
@@ -258,6 +261,7 @@ exports[`streamText > result.fullStream > should send delayed asynchronous tool
     },
     "output": "value-result",
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-result",
@@ -309,6 +313,11 @@ exports[`streamText > result.fullStream > should send tool calls 1`] = `
       "value": "value",
     },
     "providerExecuted": undefined,
+    "providerMetadata": {
+      "testProvider": {
+        "signature": "sig",
+      },
+    },
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-call",
@@ -360,6 +369,7 @@ exports[`streamText > result.fullStream > should send tool results 1`] = `
       "value": "value",
     },
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-call",
@@ -370,6 +380,7 @@ exports[`streamText > result.fullStream > should send tool results 1`] = `
     },
     "output": "value-result",
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-result",
@@ -460,7 +471,7 @@ exports[`streamText > result.reasoning > should contain reasoning from model res
         "signature": "1234567890",
       },
     },
-    "text": "I will open the conversation with witty banter. ",
+    "text": "I will open the conversation with witty banter.",
     "type": "reasoning",
   },
   {
@@ -478,13 +489,31 @@ exports[`streamText > result.reasoning > should contain reasoning from model res
         "signature": "1234567890",
       },
     },
-    "text": "Once the user has relaxed, I will pry for valuable information.",
+    "text": " Once the user has relaxed, I will pry for valuable information.",
+    "type": "reasoning",
+  },
+  {
+    "providerMetadata": {
+      "testProvider": {
+        "signature": "0987654321",
+      },
+    },
+    "text": " I need to think about this problem carefully.",
+    "type": "reasoning",
+  },
+  {
+    "providerMetadata": {
+      "testProvider": {
+        "signature": "0987654321",
+      },
+    },
+    "text": " The best solution requires careful consideration of all factors.",
     "type": "reasoning",
   },
 ]
 `;
 
-exports[`streamText > result.reasoningText > should contain reasoning text from model response 1`] = `"I will open the conversation with witty banter. Once the user has relaxed, I will pry for valuable information."`;
+exports[`streamText > result.reasoningText > should contain reasoning text from model response 1`] = `"I will open the conversation with witty banter. Once the user has relaxed, I will pry for valuable information. I need to think about this problem carefully. The best solution requires careful consideration of all factors."`;
 
 exports[`streamText > result.sources > should contain sources 1`] = `
 [
@@ -537,8 +566,6 @@ exports[`streamText > result.textStream > should swallow error to prevent server
 exports[`streamText > result.toUIMessageStream > should mask error messages by default 1`] = `
 [
   {
-    "messageId": undefined,
-    "messageMetadata": undefined,
     "type": "start",
   },
   {
@@ -552,7 +579,6 @@ exports[`streamText > result.toUIMessageStream > should mask error messages by d
     "type": "finish-step",
   },
   {
-    "messageMetadata": undefined,
     "type": "finish",
   },
 ]
@@ -561,8 +587,6 @@ exports[`streamText > result.toUIMessageStream > should mask error messages by d
 exports[`streamText > result.toUIMessageStream > should send tool call, tool call stream start, tool call deltas, and tool result stream parts 1`] = `
 [
   {
-    "messageId": undefined,
-    "messageMetadata": undefined,
     "type": "start",
   },
   {
@@ -589,6 +613,7 @@ exports[`streamText > result.toUIMessageStream > should send tool call, tool cal
       "value": "value",
     },
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-input-available",
@@ -603,7 +628,6 @@ exports[`streamText > result.toUIMessageStream > should send tool call, tool cal
     "type": "finish-step",
   },
   {
-    "messageMetadata": undefined,
     "type": "finish",
   },
 ]
@@ -612,8 +636,6 @@ exports[`streamText > result.toUIMessageStream > should send tool call, tool cal
 exports[`streamText > result.toUIMessageStream > should support custom error messages 1`] = `
 [
   {
-    "messageId": undefined,
-    "messageMetadata": undefined,
     "type": "start",
   },
   {
@@ -627,7 +649,6 @@ exports[`streamText > result.toUIMessageStream > should support custom error mes
     "type": "finish-step",
   },
   {
-    "messageMetadata": undefined,
     "type": "finish",
   },
 ]
@@ -846,6 +867,7 @@ exports[`streamText > telemetry > should record telemetry data when enabled 1`]
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.text": "Hello, world!",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.maxRetries": 2,
@@ -882,6 +904,7 @@ exports[`streamText > telemetry > should record telemetry data when enabled 1`]
       "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
+      "ai.response.providerMetadata": "{"testProvider":{"testKey":"testValue"}}",
       "ai.response.text": "Hello, world!",
       "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.settings.frequencyPenalty": 0.3,
@@ -951,6 +974,7 @@ exports[`streamText > tools with custom schema > should send tool calls 1`] = `
       "value": "value",
     },
     "providerExecuted": undefined,
+    "providerMetadata": undefined,
     "toolCallId": "call-1",
     "toolName": "tool1",
     "type": "tool-call",
diff --git a/packages/ai/src/generate-text/content-part.ts b/packages/ai/src/generate-text/content-part.ts
new file mode 100644
index 000000000000..687a303dac43
--- /dev/null
+++ b/packages/ai/src/generate-text/content-part.ts
@@ -0,0 +1,21 @@
+import { ProviderMetadata } from '../types';
+import { Source } from '../types/language-model';
+import { GeneratedFile } from './generated-file';
+import { ToolCallUnion } from './tool-call';
+import { ToolErrorUnion, ToolResultUnion } from './tool-output';
+import { ToolSet } from './tool-set';
+
+export type ContentPart<TOOLS extends ToolSet> =
+  | { type: 'text'; text: string; providerMetadata?: ProviderMetadata }
+  | { type: 'reasoning'; text: string; providerMetadata?: ProviderMetadata }
+  | ({ type: 'source' } & Source)
+  | { type: 'file'; file: GeneratedFile; providerMetadata?: ProviderMetadata } // different because of GeneratedFile object
+  | ({ type: 'tool-call' } & ToolCallUnion<TOOLS> & {
+        providerMetadata?: ProviderMetadata;
+      })
+  | ({ type: 'tool-result' } & ToolResultUnion<TOOLS> & {
+        providerMetadata?: ProviderMetadata;
+      })
+  | ({ type: 'tool-error' } & ToolErrorUnion<TOOLS> & {
+        providerMetadata?: ProviderMetadata;
+      });
diff --git a/packages/ai/core/generate-text/extract-content-text.ts b/packages/ai/src/generate-text/extract-content-text.ts
similarity index 100%
rename from packages/ai/core/generate-text/extract-content-text.ts
rename to packages/ai/src/generate-text/extract-content-text.ts
diff --git a/packages/ai/core/generate-text/generate-text-result.ts b/packages/ai/src/generate-text/generate-text-result.ts
similarity index 100%
rename from packages/ai/core/generate-text/generate-text-result.ts
rename to packages/ai/src/generate-text/generate-text-result.ts
diff --git a/packages/ai/core/generate-text/generate-text.test.ts b/packages/ai/src/generate-text/generate-text.test.ts
similarity index 77%
rename from packages/ai/core/generate-text/generate-text.test.ts
rename to packages/ai/src/generate-text/generate-text.test.ts
index acda66fcf9af..d090949b692d 100644
--- a/packages/ai/core/generate-text/generate-text.test.ts
+++ b/packages/ai/src/generate-text/generate-text.test.ts
@@ -1,19 +1,21 @@
 import {
   LanguageModelV2CallOptions,
   LanguageModelV2FunctionTool,
+  LanguageModelV2Prompt,
   LanguageModelV2ProviderDefinedTool,
+  LanguageModelV2ToolChoice,
 } from '@ai-sdk/provider';
-import { jsonSchema } from '@ai-sdk/provider-utils';
+import { jsonSchema, ModelMessage, tool } from '@ai-sdk/provider-utils';
 import { mockId } from '@ai-sdk/provider-utils/test';
 import assert from 'node:assert';
 import { z } from 'zod/v4';
-import { Output, stepCountIs } from '.';
+import { Output } from '.';
 import { MockLanguageModelV2 } from '../test/mock-language-model-v2';
 import { MockTracer } from '../test/mock-tracer';
-import { tool } from '@ai-sdk/provider-utils';
 import { generateText } from './generate-text';
 import { GenerateTextResult } from './generate-text-result';
 import { StepResult } from './step-result';
+import { stepCountIs } from './stop-condition';
 
 const dummyResponseValues = {
   finishReason: 'stop' as const,
@@ -185,6 +187,7 @@ describe('generateText', () => {
               "value": "value",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-call",
@@ -317,6 +320,7 @@ describe('generateText', () => {
                   required: ['value'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
               {
                 type: 'function',
@@ -329,6 +333,7 @@ describe('generateText', () => {
                   required: ['somethingElse'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
             ]);
 
@@ -381,6 +386,7 @@ describe('generateText', () => {
               "value": "value",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-call",
@@ -407,6 +413,7 @@ describe('generateText', () => {
                   required: ['value'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
             ]);
 
@@ -623,6 +630,7 @@ describe('generateText', () => {
                         required: ['value'],
                         type: 'object',
                       },
+                      providerOptions: undefined,
                     },
                   ]);
 
@@ -753,47 +761,26 @@ describe('generateText', () => {
     describe('2 steps: initial, tool-result with prepareStep', () => {
       let result: GenerateTextResult<any, any>;
       let onStepFinishResults: StepResult<any>[];
+      let doGenerateCalls: Array<LanguageModelV2CallOptions>;
+      let prepareStepCalls: Array<{
+        stepNumber: number;
+        steps: Array<StepResult<any>>;
+        messages: Array<ModelMessage>;
+      }>;
 
       beforeEach(async () => {
         onStepFinishResults = [];
+        doGenerateCalls = [];
+        prepareStepCalls = [];
 
         let responseCount = 0;
 
         const trueModel = new MockLanguageModelV2({
           doGenerate: async ({ prompt, tools, toolChoice }) => {
+            doGenerateCalls.push({ prompt, tools, toolChoice });
+
             switch (responseCount++) {
               case 0:
-                expect(toolChoice).toStrictEqual({
-                  type: 'tool',
-                  toolName: 'tool1',
-                });
-                expect(tools).toStrictEqual([
-                  {
-                    type: 'function',
-                    name: 'tool1',
-                    description: undefined,
-                    inputSchema: {
-                      $schema: 'http://json-schema.org/draft-07/schema#',
-                      additionalProperties: false,
-                      properties: { value: { type: 'string' } },
-                      required: ['value'],
-                      type: 'object',
-                    },
-                  },
-                ]);
-
-                expect(prompt).toStrictEqual([
-                  {
-                    role: 'system',
-                    content: 'system-message-0',
-                  },
-                  {
-                    role: 'user',
-                    content: [{ type: 'text', text: 'test-input' }],
-                    providerOptions: undefined,
-                  },
-                ]);
-
                 return {
                   ...dummyResponseValues,
                   content: [
@@ -865,8 +852,8 @@ describe('generateText', () => {
           onStepFinish: async event => {
             onStepFinishResults.push(event);
           },
-          prepareStep: async ({ model, stepNumber, steps }) => {
-            expect(model).toStrictEqual(modelWithFiles);
+          prepareStep: async ({ model, stepNumber, steps, messages }) => {
+            prepareStepCalls.push({ stepNumber, steps, messages });
 
             if (stepNumber === 0) {
               expect(steps).toStrictEqual([]);
@@ -877,6 +864,12 @@ describe('generateText', () => {
                   toolName: 'tool1' as const,
                 },
                 system: 'system-message-0',
+                messages: [
+                  {
+                    role: 'user',
+                    content: 'new input from prepareStep',
+                  },
+                ],
               };
             }
 
@@ -892,16 +885,460 @@ describe('generateText', () => {
         });
       });
 
+      it('should contain all prepareStep calls', async () => {
+        expect(prepareStepCalls).toMatchInlineSnapshot(`
+          [
+            {
+              "messages": [
+                {
+                  "content": "test-input",
+                  "role": "user",
+                },
+              ],
+              "stepNumber": 0,
+              "steps": [
+                DefaultStepResult {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerMetadata": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "output": "result1",
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "finishReason": "tool-calls",
+                  "providerMetadata": undefined,
+                  "request": {},
+                  "response": {
+                    "body": undefined,
+                    "headers": undefined,
+                    "id": "test-id-1-from-model",
+                    "messages": [
+                      {
+                        "content": [
+                          {
+                            "input": {
+                              "value": "value",
+                            },
+                            "providerExecuted": undefined,
+                            "providerOptions": undefined,
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-call",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                      {
+                        "content": [
+                          {
+                            "output": {
+                              "type": "text",
+                              "value": "result1",
+                            },
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-result",
+                          },
+                        ],
+                        "role": "tool",
+                      },
+                    ],
+                    "modelId": "test-response-model-id",
+                    "timestamp": 1970-01-01T00:00:00.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": undefined,
+                    "inputTokens": 10,
+                    "outputTokens": 5,
+                    "reasoningTokens": undefined,
+                    "totalTokens": 15,
+                  },
+                  "warnings": [],
+                },
+                DefaultStepResult {
+                  "content": [
+                    {
+                      "text": "Hello, world!",
+                      "type": "text",
+                    },
+                  ],
+                  "finishReason": "stop",
+                  "providerMetadata": undefined,
+                  "request": {},
+                  "response": {
+                    "body": undefined,
+                    "headers": {
+                      "custom-response-header": "response-header-value",
+                    },
+                    "id": "test-id-2-from-model",
+                    "messages": [
+                      {
+                        "content": [
+                          {
+                            "input": {
+                              "value": "value",
+                            },
+                            "providerExecuted": undefined,
+                            "providerOptions": undefined,
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-call",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                      {
+                        "content": [
+                          {
+                            "output": {
+                              "type": "text",
+                              "value": "result1",
+                            },
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-result",
+                          },
+                        ],
+                        "role": "tool",
+                      },
+                      {
+                        "content": [
+                          {
+                            "providerOptions": undefined,
+                            "text": "Hello, world!",
+                            "type": "text",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                    ],
+                    "modelId": "test-response-model-id",
+                    "timestamp": 1970-01-01T00:00:10.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": undefined,
+                    "inputTokens": 3,
+                    "outputTokens": 10,
+                    "reasoningTokens": undefined,
+                    "totalTokens": 13,
+                  },
+                  "warnings": [],
+                },
+              ],
+            },
+            {
+              "messages": [
+                {
+                  "content": "test-input",
+                  "role": "user",
+                },
+                {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                  ],
+                  "role": "assistant",
+                },
+                {
+                  "content": [
+                    {
+                      "output": {
+                        "type": "text",
+                        "value": "result1",
+                      },
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "role": "tool",
+                },
+              ],
+              "stepNumber": 1,
+              "steps": [
+                DefaultStepResult {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerMetadata": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "output": "result1",
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "finishReason": "tool-calls",
+                  "providerMetadata": undefined,
+                  "request": {},
+                  "response": {
+                    "body": undefined,
+                    "headers": undefined,
+                    "id": "test-id-1-from-model",
+                    "messages": [
+                      {
+                        "content": [
+                          {
+                            "input": {
+                              "value": "value",
+                            },
+                            "providerExecuted": undefined,
+                            "providerOptions": undefined,
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-call",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                      {
+                        "content": [
+                          {
+                            "output": {
+                              "type": "text",
+                              "value": "result1",
+                            },
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-result",
+                          },
+                        ],
+                        "role": "tool",
+                      },
+                    ],
+                    "modelId": "test-response-model-id",
+                    "timestamp": 1970-01-01T00:00:00.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": undefined,
+                    "inputTokens": 10,
+                    "outputTokens": 5,
+                    "reasoningTokens": undefined,
+                    "totalTokens": 15,
+                  },
+                  "warnings": [],
+                },
+                DefaultStepResult {
+                  "content": [
+                    {
+                      "text": "Hello, world!",
+                      "type": "text",
+                    },
+                  ],
+                  "finishReason": "stop",
+                  "providerMetadata": undefined,
+                  "request": {},
+                  "response": {
+                    "body": undefined,
+                    "headers": {
+                      "custom-response-header": "response-header-value",
+                    },
+                    "id": "test-id-2-from-model",
+                    "messages": [
+                      {
+                        "content": [
+                          {
+                            "input": {
+                              "value": "value",
+                            },
+                            "providerExecuted": undefined,
+                            "providerOptions": undefined,
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-call",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                      {
+                        "content": [
+                          {
+                            "output": {
+                              "type": "text",
+                              "value": "result1",
+                            },
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-result",
+                          },
+                        ],
+                        "role": "tool",
+                      },
+                      {
+                        "content": [
+                          {
+                            "providerOptions": undefined,
+                            "text": "Hello, world!",
+                            "type": "text",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                    ],
+                    "modelId": "test-response-model-id",
+                    "timestamp": 1970-01-01T00:00:10.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": undefined,
+                    "inputTokens": 3,
+                    "outputTokens": 10,
+                    "reasoningTokens": undefined,
+                    "totalTokens": 13,
+                  },
+                  "warnings": [],
+                },
+              ],
+            },
+          ]
+        `);
+      });
+
+      it('doGenerate should be called with the correct arguments', () => {
+        expect(doGenerateCalls).toMatchInlineSnapshot(`
+          [
+            {
+              "prompt": [
+                {
+                  "content": "system-message-0",
+                  "role": "system",
+                },
+                {
+                  "content": [
+                    {
+                      "text": "new input from prepareStep",
+                      "type": "text",
+                    },
+                  ],
+                  "providerOptions": undefined,
+                  "role": "user",
+                },
+              ],
+              "toolChoice": {
+                "toolName": "tool1",
+                "type": "tool",
+              },
+              "tools": [
+                {
+                  "description": undefined,
+                  "inputSchema": {
+                    "$schema": "http://json-schema.org/draft-07/schema#",
+                    "additionalProperties": false,
+                    "properties": {
+                      "value": {
+                        "type": "string",
+                      },
+                    },
+                    "required": [
+                      "value",
+                    ],
+                    "type": "object",
+                  },
+                  "name": "tool1",
+                  "providerOptions": undefined,
+                  "type": "function",
+                },
+              ],
+            },
+            {
+              "prompt": [
+                {
+                  "content": "system-message-1",
+                  "role": "system",
+                },
+                {
+                  "content": [
+                    {
+                      "text": "test-input",
+                      "type": "text",
+                    },
+                  ],
+                  "providerOptions": undefined,
+                  "role": "user",
+                },
+                {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                  ],
+                  "providerOptions": undefined,
+                  "role": "assistant",
+                },
+                {
+                  "content": [
+                    {
+                      "output": {
+                        "type": "text",
+                        "value": "result1",
+                      },
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "providerOptions": undefined,
+                  "role": "tool",
+                },
+              ],
+              "toolChoice": {
+                "type": "auto",
+              },
+              "tools": [],
+            },
+          ]
+        `);
+      });
+
       it('result.text should return text from last step', async () => {
-        assert.deepStrictEqual(result.text, 'Hello, world!');
+        expect(result.text).toStrictEqual('Hello, world!');
       });
 
       it('result.toolCalls should return empty tool calls from last step', async () => {
-        assert.deepStrictEqual(result.toolCalls, []);
+        expect(result.toolCalls).toStrictEqual([]);
       });
 
       it('result.toolResults should return empty tool results from last step', async () => {
-        assert.deepStrictEqual(result.toolResults, []);
+        expect(result.toolResults).toStrictEqual([]);
       });
 
       it('result.response.messages should contain response messages from all steps', () => {
@@ -1043,6 +1480,7 @@ describe('generateText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -1072,6 +1510,7 @@ describe('generateText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -1118,6 +1557,7 @@ describe('generateText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -1147,6 +1587,7 @@ describe('generateText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -1333,6 +1774,7 @@ describe('generateText', () => {
             "type": "object",
           },
           "name": "tool1",
+          "providerOptions": undefined,
           "type": "function",
         },
       ]
@@ -1373,6 +1815,11 @@ describe('generateText', () => {
               timestamp: new Date(10000),
               modelId: 'test-response-model-id',
             },
+            providerMetadata: {
+              testProvider: {
+                testKey: 'testValue',
+              },
+            },
           }),
         }),
         prompt: 'prompt',
@@ -1499,6 +1946,68 @@ describe('generateText', () => {
       `);
     });
 
+    it('should record error on tool call', async () => {
+      await generateText({
+        model: new MockLanguageModelV2({
+          doGenerate: async ({}) => ({
+            ...dummyResponseValues,
+            content: [
+              {
+                type: 'tool-call',
+                toolCallType: 'function',
+                toolCallId: 'call-1',
+                toolName: 'tool1',
+                input: `{ "value": "value" }`,
+              },
+            ],
+          }),
+        }),
+        tools: {
+          tool1: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async () => {
+              throw new Error('Tool execution failed');
+            },
+          },
+        },
+        prompt: 'test-input',
+        experimental_telemetry: {
+          isEnabled: true,
+          tracer,
+        },
+        _internal: {
+          generateId: () => 'test-id',
+          currentDate: () => new Date(0),
+        },
+      });
+
+      expect(tracer.jsonSpans).toHaveLength(3);
+
+      // Check that we have the expected spans
+      expect(tracer.jsonSpans[0].name).toBe('ai.generateText');
+      expect(tracer.jsonSpans[1].name).toBe('ai.generateText.doGenerate');
+      expect(tracer.jsonSpans[2].name).toBe('ai.toolCall');
+
+      // Check that the tool call span has error status
+      const toolCallSpan = tracer.jsonSpans[2];
+      expect(toolCallSpan.status).toEqual({
+        code: 2,
+        message: 'Tool execution failed',
+      });
+
+      expect(toolCallSpan.events).toHaveLength(1);
+      const exceptionEvent = toolCallSpan.events[0];
+      expect(exceptionEvent.name).toBe('exception');
+      expect(exceptionEvent.attributes).toMatchObject({
+        'exception.message': 'Tool execution failed',
+        'exception.name': 'Error',
+      });
+      expect(exceptionEvent.attributes?.['exception.stack']).toContain(
+        'Tool execution failed',
+      );
+      expect(exceptionEvent.time).toEqual([0, 0]);
+    });
+
     it('should not record telemetry inputs / outputs when disabled', async () => {
       await generateText({
         model: new MockLanguageModelV2({
@@ -1621,6 +2130,7 @@ describe('generateText', () => {
                   required: ['value'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
               {
                 type: 'function',
@@ -1632,6 +2142,7 @@ describe('generateText', () => {
                   required: ['somethingElse'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
             ]);
 
@@ -1698,6 +2209,7 @@ describe('generateText', () => {
               "value": "value",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-call",
@@ -1771,6 +2283,7 @@ describe('generateText', () => {
                 "value": "value",
               },
               "providerExecuted": true,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "web_search",
               "type": "tool-call",
@@ -1790,6 +2303,7 @@ describe('generateText', () => {
                 "value": "value",
               },
               "providerExecuted": true,
+              "providerMetadata": undefined,
               "toolCallId": "call-2",
               "toolName": "web_search",
               "type": "tool-call",
@@ -2067,6 +2581,7 @@ describe('generateText', () => {
               "value": "value",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-call",
@@ -2094,6 +2609,7 @@ describe('generateText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerOptions": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -2171,6 +2687,7 @@ describe('generateText', () => {
               "value": "test",
             },
             "providerExecuted": true,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "providerTool",
             "type": "tool-call",
diff --git a/packages/ai/core/generate-text/generate-text.ts b/packages/ai/src/generate-text/generate-text.ts
similarity index 98%
rename from packages/ai/core/generate-text/generate-text.ts
rename to packages/ai/src/generate-text/generate-text.ts
index aeb047a3b964..5150eddde6f5 100644
--- a/packages/ai/core/generate-text/generate-text.ts
+++ b/packages/ai/src/generate-text/generate-text.ts
@@ -24,7 +24,7 @@ import { wrapGatewayError } from '../prompt/wrap-gateway-error';
 import { assembleOperationName } from '../telemetry/assemble-operation-name';
 import { getBaseTelemetryAttributes } from '../telemetry/get-base-telemetry-attributes';
 import { getTracer } from '../telemetry/get-tracer';
-import { recordSpan } from '../telemetry/record-span';
+import { recordErrorOnSpan, recordSpan } from '../telemetry/record-span';
 import { selectTelemetryAttributes } from '../telemetry/select-telemetry-attributes';
 import { stringifyForTelemetry } from '../telemetry/stringify-for-telemetry';
 import { TelemetrySettings } from '../telemetry/telemetry-settings';
@@ -285,12 +285,13 @@ A function that attempts to repair a tool call that failed to parse.
             model,
             steps,
             stepNumber: steps.length,
+            messages: stepInputMessages,
           });
 
           const promptMessages = await convertToLanguageModelPrompt({
             prompt: {
               system: prepareStepResult?.system ?? initialPrompt.system,
-              messages: stepInputMessages,
+              messages: prepareStepResult?.messages ?? stepInputMessages,
             },
             supportedUrls: await model.supportedUrls,
           });
@@ -391,6 +392,9 @@ A function that attempts to repair a tool call that failed to parse.
                       'ai.response.model': responseData.modelId,
                       'ai.response.timestamp':
                         responseData.timestamp.toISOString(),
+                      'ai.response.providerMetadata': JSON.stringify(
+                        result.providerMetadata,
+                      ),
 
                       // TODO rename telemetry attributes to inputTokens and outputTokens
                       'ai.usage.promptTokens': result.usage.inputTokens,
@@ -517,6 +521,9 @@ A function that attempts to repair a tool call that failed to parse.
                     : JSON.stringify(toolCalls);
                 },
               },
+              'ai.response.providerMetadata': JSON.stringify(
+                currentModelResponse.providerMetadata,
+              ),
 
               // TODO rename telemetry attributes to inputTokens and outputTokens
               'ai.usage.promptTokens': currentModelResponse.usage.inputTokens,
@@ -620,6 +627,7 @@ async function executeTools<TOOLS extends ToolSet>({
               output: result,
             } as ToolResultUnion<TOOLS>;
           } catch (error) {
+            recordErrorOnSpan(span, error);
             return {
               type: 'tool-error',
               toolCallId,
diff --git a/packages/ai/core/generate-text/generated-file.ts b/packages/ai/src/generate-text/generated-file.ts
similarity index 100%
rename from packages/ai/core/generate-text/generated-file.ts
rename to packages/ai/src/generate-text/generated-file.ts
diff --git a/packages/ai/core/generate-text/index.ts b/packages/ai/src/generate-text/index.ts
similarity index 100%
rename from packages/ai/core/generate-text/index.ts
rename to packages/ai/src/generate-text/index.ts
diff --git a/packages/ai/core/generate-text/output.test.ts b/packages/ai/src/generate-text/output.test.ts
similarity index 100%
rename from packages/ai/core/generate-text/output.test.ts
rename to packages/ai/src/generate-text/output.test.ts
diff --git a/packages/ai/core/generate-text/output.ts b/packages/ai/src/generate-text/output.ts
similarity index 98%
rename from packages/ai/core/generate-text/output.ts
rename to packages/ai/src/generate-text/output.ts
index 74609aaf1e72..42c0c04ea6eb 100644
--- a/packages/ai/core/generate-text/output.ts
+++ b/packages/ai/src/generate-text/output.ts
@@ -51,7 +51,7 @@ export const object = <OUTPUT>({
   schema: inputSchema,
 }: {
   schema:
-    | z4.ZodType<OUTPUT, any>
+    | z4.core.$ZodType<OUTPUT, any>
     | z3.Schema<OUTPUT, z3.ZodTypeDef, any>
     | Schema<OUTPUT>;
 }): Output<OUTPUT, DeepPartial<OUTPUT>> => {
diff --git a/packages/ai/core/generate-text/parse-tool-call.test.ts b/packages/ai/src/generate-text/parse-tool-call.test.ts
similarity index 78%
rename from packages/ai/core/generate-text/parse-tool-call.test.ts
rename to packages/ai/src/generate-text/parse-tool-call.test.ts
index 8e4f70e63c35..6775d27a8829 100644
--- a/packages/ai/core/generate-text/parse-tool-call.test.ts
+++ b/packages/ai/src/generate-text/parse-tool-call.test.ts
@@ -35,7 +35,52 @@ describe('parseToolCall', () => {
     });
   });
 
-  it('should successfully process empty calls for tools that have no inputSchema', async () => {
+  it('should successfully parse a valid tool call with provider metadata', async () => {
+    const result = await parseToolCall({
+      toolCall: {
+        type: 'tool-call',
+        toolName: 'testTool',
+        toolCallId: '123',
+        input: '{"param1": "test", "param2": 42}',
+        providerMetadata: {
+          testProvider: {
+            signature: 'sig',
+          },
+        },
+      },
+      tools: {
+        testTool: tool({
+          inputSchema: z.object({
+            param1: z.string(),
+            param2: z.number(),
+          }),
+        }),
+      } as const,
+      repairToolCall: undefined,
+      messages: [],
+      system: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "input": {
+          "param1": "test",
+          "param2": 42,
+        },
+        "providerExecuted": undefined,
+        "providerMetadata": {
+          "testProvider": {
+            "signature": "sig",
+          },
+        },
+        "toolCallId": "123",
+        "toolName": "testTool",
+        "type": "tool-call",
+      }
+    `);
+  });
+
+  it('should successfully process empty tool calls for tools that have no inputSchema', async () => {
     const result = await parseToolCall({
       toolCall: {
         type: 'tool-call',
@@ -61,6 +106,32 @@ describe('parseToolCall', () => {
     });
   });
 
+  it('should successfully process empty object tool calls for tools that have no inputSchema', async () => {
+    const result = await parseToolCall({
+      toolCall: {
+        type: 'tool-call',
+        toolName: 'testTool',
+        toolCallId: '123',
+        input: '{}',
+      },
+      tools: {
+        testTool: tool({
+          inputSchema: z.object({}),
+        }),
+      } as const,
+      repairToolCall: undefined,
+      messages: [],
+      system: undefined,
+    });
+
+    expect(result).toEqual({
+      type: 'tool-call',
+      toolCallId: '123',
+      toolName: 'testTool',
+      input: {},
+    });
+  });
+
   it('should throw NoSuchToolError when tools is null', async () => {
     await expect(
       parseToolCall({
diff --git a/packages/ai/core/generate-text/parse-tool-call.ts b/packages/ai/src/generate-text/parse-tool-call.ts
similarity index 98%
rename from packages/ai/core/generate-text/parse-tool-call.ts
rename to packages/ai/src/generate-text/parse-tool-call.ts
index 836c7089c04f..6e264c733f9d 100644
--- a/packages/ai/core/generate-text/parse-tool-call.ts
+++ b/packages/ai/src/generate-text/parse-tool-call.ts
@@ -113,5 +113,6 @@ async function doParseToolCall<TOOLS extends ToolSet>({
     toolName,
     input: parseResult.value,
     providerExecuted: toolCall.providerExecuted,
+    providerMetadata: toolCall.providerMetadata,
   };
 }
diff --git a/packages/ai/core/generate-text/prepare-step.ts b/packages/ai/src/generate-text/prepare-step.ts
similarity index 89%
rename from packages/ai/core/generate-text/prepare-step.ts
rename to packages/ai/src/generate-text/prepare-step.ts
index a4a1ea0eb338..9442fee324a1 100644
--- a/packages/ai/core/generate-text/prepare-step.ts
+++ b/packages/ai/src/generate-text/prepare-step.ts
@@ -1,4 +1,4 @@
-import { Tool } from '@ai-sdk/provider-utils';
+import { ModelMessage, Tool } from '@ai-sdk/provider-utils';
 import { LanguageModel, ToolChoice } from '../types/language-model';
 import { StepResult } from './step-result';
 
@@ -19,6 +19,7 @@ export type PrepareStepFunction<
   steps: Array<StepResult<NoInfer<TOOLS>>>;
   stepNumber: number;
   model: LanguageModel;
+  messages: Array<ModelMessage>;
 }) => PromiseLike<PrepareStepResult<TOOLS>> | PrepareStepResult<TOOLS>;
 
 export type PrepareStepResult<
@@ -29,5 +30,6 @@ export type PrepareStepResult<
       toolChoice?: ToolChoice<NoInfer<TOOLS>>;
       activeTools?: Array<keyof NoInfer<TOOLS>>;
       system?: string;
+      messages?: Array<ModelMessage>;
     }
   | undefined;
diff --git a/packages/ai/core/generate-text/reasoning.ts b/packages/ai/src/generate-text/reasoning.ts
similarity index 100%
rename from packages/ai/core/generate-text/reasoning.ts
rename to packages/ai/src/generate-text/reasoning.ts
diff --git a/packages/ai/core/generate-text/response-message.ts b/packages/ai/src/generate-text/response-message.ts
similarity index 100%
rename from packages/ai/core/generate-text/response-message.ts
rename to packages/ai/src/generate-text/response-message.ts
diff --git a/packages/ai/core/generate-text/run-tools-transformation.test.ts b/packages/ai/src/generate-text/run-tools-transformation.test.ts
similarity index 97%
rename from packages/ai/core/generate-text/run-tools-transformation.test.ts
rename to packages/ai/src/generate-text/run-tools-transformation.test.ts
index 9468336fb492..9b1ebeaea32c 100644
--- a/packages/ai/core/generate-text/run-tools-transformation.test.ts
+++ b/packages/ai/src/generate-text/run-tools-transformation.test.ts
@@ -114,6 +114,7 @@ describe('runToolsTransformation', () => {
               "value": "test",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "syncTool",
             "type": "tool-call",
@@ -124,6 +125,7 @@ describe('runToolsTransformation', () => {
             },
             "output": "test-sync-result",
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "syncTool",
             "type": "tool-result",
@@ -184,6 +186,7 @@ describe('runToolsTransformation', () => {
               "value": "test",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "syncTool",
             "type": "tool-call",
@@ -194,6 +197,7 @@ describe('runToolsTransformation', () => {
             },
             "output": "test-sync-result",
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "syncTool",
             "type": "tool-result",
@@ -258,6 +262,7 @@ describe('runToolsTransformation', () => {
             "value": "test",
           },
           "providerExecuted": undefined,
+          "providerMetadata": undefined,
           "toolCallId": "call-1",
           "toolName": "delayedTool",
           "type": "tool-call",
@@ -268,6 +273,7 @@ describe('runToolsTransformation', () => {
           },
           "output": "test-delayed-result",
           "providerExecuted": undefined,
+          "providerMetadata": undefined,
           "toolCallId": "call-1",
           "toolName": "delayedTool",
           "type": "tool-result",
@@ -338,6 +344,7 @@ describe('runToolsTransformation', () => {
               "value": "test",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "correctTool",
             "type": "tool-call",
@@ -348,6 +355,7 @@ describe('runToolsTransformation', () => {
             },
             "output": "test-result",
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "correctTool",
             "type": "tool-result",
diff --git a/packages/ai/core/generate-text/run-tools-transformation.ts b/packages/ai/src/generate-text/run-tools-transformation.ts
similarity index 98%
rename from packages/ai/core/generate-text/run-tools-transformation.ts
rename to packages/ai/src/generate-text/run-tools-transformation.ts
index 0883f8447406..5ac68fbbab1a 100644
--- a/packages/ai/core/generate-text/run-tools-transformation.ts
+++ b/packages/ai/src/generate-text/run-tools-transformation.ts
@@ -5,17 +5,17 @@ import {
 import { generateId, ModelMessage } from '@ai-sdk/provider-utils';
 import { Tracer } from '@opentelemetry/api';
 import { assembleOperationName } from '../telemetry/assemble-operation-name';
-import { recordSpan } from '../telemetry/record-span';
+import { recordErrorOnSpan, recordSpan } from '../telemetry/record-span';
 import { selectTelemetryAttributes } from '../telemetry/select-telemetry-attributes';
 import { TelemetrySettings } from '../telemetry/telemetry-settings';
 import { FinishReason, LanguageModelUsage, ProviderMetadata } from '../types';
+import { Source } from '../types/language-model';
 import { DefaultGeneratedFileWithType, GeneratedFile } from './generated-file';
 import { parseToolCall } from './parse-tool-call';
+import { ToolCallUnion } from './tool-call';
 import { ToolCallRepairFunction } from './tool-call-repair-function';
 import { ToolErrorUnion, ToolResultUnion } from './tool-output';
 import { ToolSet } from './tool-set';
-import { Source } from '../types/language-model';
-import { ToolCallUnion } from './tool-call';
 
 export type SingleRequestTextStreamPart<TOOLS extends ToolSet> =
   // Text blocks:
@@ -265,6 +265,7 @@ export function runToolsTransformation<TOOLS extends ToolSet>({
                       abortSignal,
                     });
                   } catch (error) {
+                    recordErrorOnSpan(span, error);
                     toolResultsStreamController!.enqueue({
                       ...toolCall,
                       type: 'tool-error',
diff --git a/packages/ai/core/generate-text/smooth-stream.test.ts b/packages/ai/src/generate-text/smooth-stream.test.ts
similarity index 81%
rename from packages/ai/core/generate-text/smooth-stream.test.ts
rename to packages/ai/src/generate-text/smooth-stream.test.ts
index 2323320ed577..057855098ebd 100644
--- a/packages/ai/core/generate-text/smooth-stream.test.ts
+++ b/packages/ai/src/generate-text/smooth-stream.test.ts
@@ -46,9 +46,9 @@ describe('smoothStream', () => {
     it('should combine partial words', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello', type: 'text', id: '1' },
-        { text: ', ', type: 'text', id: '1' },
-        { text: 'world!', type: 'text', id: '1' },
+        { text: 'Hello', type: 'text-delta', id: '1' },
+        { text: ', ', type: 'text-delta', id: '1' },
+        { text: 'world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -69,12 +69,12 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello, ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "world!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -89,7 +89,7 @@ describe('smoothStream', () => {
         { type: 'text-start', id: '1' },
         {
           text: 'Hello, World! This is an example text.',
-          type: 'text',
+          type: 'text-delta',
           id: '1',
         },
         { type: 'text-end', id: '1' },
@@ -112,42 +112,42 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello, ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "World! ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "This ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "is ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "an ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "example ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "text.",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -160,11 +160,11 @@ describe('smoothStream', () => {
     it('should keep longer whitespace sequences together', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'First line', type: 'text', id: '1' },
-        { text: ' \n\n', type: 'text', id: '1' },
-        { text: '  ', type: 'text', id: '1' },
-        { text: '  Multiple spaces', type: 'text', id: '1' },
-        { text: '\n    Indented', type: 'text', id: '1' },
+        { text: 'First line', type: 'text-delta', id: '1' },
+        { text: ' \n\n', type: 'text-delta', id: '1' },
+        { text: '  ', type: 'text-delta', id: '1' },
+        { text: '  Multiple spaces', type: 'text-delta', id: '1' },
+        { text: '\n    Indented', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -181,13 +181,13 @@ describe('smoothStream', () => {
         {
           id: '1',
           text: 'First ',
-          type: 'text',
+          type: 'text-delta',
         },
         'delay 10',
         {
           id: '1',
           text: 'line \n\n',
-          type: 'text',
+          type: 'text-delta',
         },
         'delay 10',
         {
@@ -195,18 +195,18 @@ describe('smoothStream', () => {
           // because it is part of the new chunk:
           id: '1',
           text: '    Multiple ',
-          type: 'text',
+          type: 'text-delta',
         },
         'delay 10',
         {
           id: '1',
           text: 'spaces\n    ',
-          type: 'text',
+          type: 'text-delta',
         },
         {
           id: '1',
           text: 'Indented',
-          type: 'text',
+          type: 'text-delta',
         },
         { id: '1', type: 'text-end' },
       ]);
@@ -215,9 +215,9 @@ describe('smoothStream', () => {
     it('should send remaining text buffer before tool call starts', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'I will check the', type: 'text', id: '1' },
-        { text: ' weather in Lon', type: 'text', id: '1' },
-        { text: 'don.', type: 'text', id: '1' },
+        { text: 'I will check the', type: 'text-delta', id: '1' },
+        { text: ' weather in Lon', type: 'text-delta', id: '1' },
+        { text: 'don.', type: 'text-delta', id: '1' },
         {
           type: 'tool-call',
           toolCallId: '1',
@@ -244,42 +244,42 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "I ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "will ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "check ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "the ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "weather ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "in ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "London.",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "input": {
@@ -300,9 +300,9 @@ describe('smoothStream', () => {
     it('should send remaining text buffer before tool call starts and tool call streaming is enabled', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { type: 'text', id: '1', text: 'I will check the' },
-        { type: 'text', id: '1', text: ' weather in Lon' },
-        { type: 'text', id: '1', text: 'don.' },
+        { type: 'text-delta', id: '1', text: 'I will check the' },
+        { type: 'text-delta', id: '1', text: ' weather in Lon' },
+        { type: 'text-delta', id: '1', text: 'don.' },
         {
           type: 'tool-input-start',
           toolName: 'weather',
@@ -336,42 +336,42 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "I ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "will ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "check ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "the ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "weather ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "in ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "London.",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "2",
@@ -406,10 +406,10 @@ describe('smoothStream', () => {
     it(`doesn't return chunks with just spaces`, async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { type: 'text', id: '1', text: ' ' },
-        { type: 'text', id: '1', text: ' ' },
-        { type: 'text', id: '1', text: ' ' },
-        { type: 'text', id: '1', text: 'foo' },
+        { type: 'text-delta', id: '1', text: ' ' },
+        { type: 'text-delta', id: '1', text: ' ' },
+        { type: 'text-delta', id: '1', text: ' ' },
+        { type: 'text-delta', id: '1', text: 'foo' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -429,7 +429,7 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "   foo",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -446,11 +446,11 @@ describe('smoothStream', () => {
         { type: 'text-start', id: '1' },
         {
           text: 'First line\nSecond line\nThird line with more text\n',
-          type: 'text',
+          type: 'text-delta',
           id: '1',
         },
-        { text: 'Partial line', type: 'text', id: '1' },
-        { text: ' continues\nFinal line\n', type: 'text', id: '1' },
+        { text: 'Partial line', type: 'text-delta', id: '1' },
+        { text: ' continues\nFinal line\n', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -473,35 +473,35 @@ describe('smoothStream', () => {
             "id": "1",
             "text": "First line
         ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "Second line
         ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "Third line with more text
         ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "Partial line continues
         ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "Final line
         ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -514,9 +514,9 @@ describe('smoothStream', () => {
     it('should handle text without line endings in line chunking mode', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Text without', type: 'text', id: '1' },
-        { text: ' any line', type: 'text', id: '1' },
-        { text: ' breaks', type: 'text', id: '1' },
+        { text: 'Text without', type: 'text-delta', id: '1' },
+        { text: ' any line', type: 'text-delta', id: '1' },
+        { text: ' breaks', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -536,7 +536,7 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Text without any line breaks",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -551,7 +551,7 @@ describe('smoothStream', () => {
     it(`should return correct result for regexes that don't match from the exact start onwards`, async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello_, world!', type: 'text', id: '1' },
+        { text: 'Hello_, world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -573,12 +573,12 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello_",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": ", world!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -591,7 +591,7 @@ describe('smoothStream', () => {
     it('should support custom chunking regexps (character-level)', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello, world!', type: 'text', id: '1' },
+        { text: 'Hello, world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -613,79 +613,79 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "H",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "e",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "l",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "l",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "o",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": ",",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": " ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "w",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "o",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "r",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "l",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "d",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -700,8 +700,8 @@ describe('smoothStream', () => {
     it('should support custom chunking callback', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'He_llo, ', type: 'text', id: '1' },
-        { text: 'w_orld!', type: 'text', id: '1' },
+        { text: 'He_llo, ', type: 'text-delta', id: '1' },
+        { text: 'w_orld!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -722,18 +722,18 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "He_",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "llo, w_",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "orld!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -747,7 +747,7 @@ describe('smoothStream', () => {
       it('throws empty match error', async () => {
         const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
           { type: 'text-start', id: '1' },
-          { text: 'Hello, world!', type: 'text', id: '1' },
+          { text: 'Hello, world!', type: 'text-delta', id: '1' },
           { type: 'text-end', id: '1' },
         ]).pipeThrough(
           smoothStream({ chunking: () => '', _internal: { delay } })({
@@ -765,7 +765,7 @@ describe('smoothStream', () => {
       it('throws match prefix error', async () => {
         const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
           { type: 'text-start', id: '1' },
-          { text: 'Hello, world!', type: 'text', id: '1' },
+          { text: 'Hello, world!', type: 'text-delta', id: '1' },
           { type: 'text-end', id: '1' },
         ]).pipeThrough(
           smoothStream({ chunking: () => 'world', _internal: { delay } })({
@@ -786,7 +786,7 @@ describe('smoothStream', () => {
     it('should default to 10ms', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello, world!', type: 'text', id: '1' },
+        { text: 'Hello, world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -806,12 +806,12 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello, ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "world!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -824,7 +824,7 @@ describe('smoothStream', () => {
     it('should support different number of milliseconds delay', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello, world!', type: 'text', id: '1' },
+        { text: 'Hello, world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -845,12 +845,12 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello, ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "world!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -863,7 +863,7 @@ describe('smoothStream', () => {
     it('should support null delay', async () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
-        { text: 'Hello, world!', type: 'text', id: '1' },
+        { text: 'Hello, world!', type: 'text-delta', id: '1' },
         { type: 'text-end', id: '1' },
       ]).pipeThrough(
         smoothStream({
@@ -884,12 +884,12 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "Hello, ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
             "text": "world!",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
@@ -905,12 +905,12 @@ describe('smoothStream', () => {
       const stream = convertArrayToReadableStream<TextStreamPart<ToolSet>>([
         { type: 'text-start', id: '1' },
         { type: 'text-start', id: '2' },
-        { text: 'I will check the', type: 'text', id: '1' },
-        { text: ' weather in Lon', type: 'text', id: '1' },
-        { text: 'don.', type: 'text', id: '1' },
-        { text: 'I will check the', type: 'text', id: '2' },
-        { text: ' weather in Lon', type: 'text', id: '2' },
-        { text: 'don.', type: 'text', id: '2' },
+        { text: 'I will check the', type: 'text-delta', id: '1' },
+        { text: ' weather in Lon', type: 'text-delta', id: '1' },
+        { text: 'don.', type: 'text-delta', id: '1' },
+        { text: 'I will check the', type: 'text-delta', id: '2' },
+        { text: ' weather in Lon', type: 'text-delta', id: '2' },
+        { text: 'don.', type: 'text-delta', id: '2' },
         { type: 'text-end', id: '1' },
         { type: 'text-end', id: '2' },
       ]).pipeThrough(
@@ -935,83 +935,83 @@ describe('smoothStream', () => {
           {
             "id": "1",
             "text": "I ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "will ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "check ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "the ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "weather ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "in ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "1",
             "text": "London.",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "2",
             "text": "I ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "2",
             "text": "will ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "2",
             "text": "check ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "2",
             "text": "the ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "2",
             "text": "weather ",
-            "type": "text",
+            "type": "text-delta",
           },
           "delay 10",
           {
             "id": "2",
             "text": "in ",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "2",
             "text": "London.",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "1",
diff --git a/packages/ai/core/generate-text/smooth-stream.ts b/packages/ai/src/generate-text/smooth-stream.ts
similarity index 92%
rename from packages/ai/core/generate-text/smooth-stream.ts
rename to packages/ai/src/generate-text/smooth-stream.ts
index 7924740af5ff..2b9febe52134 100644
--- a/packages/ai/core/generate-text/smooth-stream.ts
+++ b/packages/ai/src/generate-text/smooth-stream.ts
@@ -91,9 +91,9 @@ export function smoothStream<TOOLS extends ToolSet>({
 
     return new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
       async transform(chunk, controller) {
-        if (chunk.type !== 'text') {
+        if (chunk.type !== 'text-delta') {
           if (buffer.length > 0) {
-            controller.enqueue({ type: 'text', text: buffer, id });
+            controller.enqueue({ type: 'text-delta', text: buffer, id });
             buffer = '';
           }
 
@@ -102,7 +102,7 @@ export function smoothStream<TOOLS extends ToolSet>({
         }
 
         if (chunk.id !== id && buffer.length > 0) {
-          controller.enqueue({ type: 'text', text: buffer, id });
+          controller.enqueue({ type: 'text-delta', text: buffer, id });
           buffer = '';
         }
 
@@ -112,7 +112,7 @@ export function smoothStream<TOOLS extends ToolSet>({
         let match;
 
         while ((match = detectChunk(buffer)) != null) {
-          controller.enqueue({ type: 'text', text: match, id });
+          controller.enqueue({ type: 'text-delta', text: match, id });
           buffer = buffer.slice(match.length);
 
           await delay(delayInMs);
diff --git a/packages/ai/core/generate-text/step-result.ts b/packages/ai/src/generate-text/step-result.ts
similarity index 100%
rename from packages/ai/core/generate-text/step-result.ts
rename to packages/ai/src/generate-text/step-result.ts
diff --git a/packages/ai/core/generate-text/stop-condition.ts b/packages/ai/src/generate-text/stop-condition.ts
similarity index 100%
rename from packages/ai/core/generate-text/stop-condition.ts
rename to packages/ai/src/generate-text/stop-condition.ts
diff --git a/packages/ai/core/generate-text/stream-text-result.ts b/packages/ai/src/generate-text/stream-text-result.ts
similarity index 94%
rename from packages/ai/core/generate-text/stream-text-result.ts
rename to packages/ai/src/generate-text/stream-text-result.ts
index 014212adf9e2..20e87fd02ed0 100644
--- a/packages/ai/core/generate-text/stream-text-result.ts
+++ b/packages/ai/src/generate-text/stream-text-result.ts
@@ -1,9 +1,10 @@
-import { ReasoningPart } from '@ai-sdk/provider-utils';
+import { IdGenerator, ReasoningPart } from '@ai-sdk/provider-utils';
 import { ServerResponse } from 'node:http';
-import { InferUIMessageStreamPart } from '../../src/ui-message-stream/ui-message-stream-parts';
+import { InferUIMessageChunk } from '../../src/ui-message-stream/ui-message-chunks';
 import { UIMessageStreamResponseInit } from '../../src/ui-message-stream/ui-message-stream-response-init';
 import { InferUIMessageMetadata, UIMessage } from '../../src/ui/ui-messages';
 import { AsyncIterableStream } from '../../src/util/async-iterable-stream';
+import { ErrorHandler } from '../../src/util/error-handler';
 import {
   CallWarning,
   FinishReason,
@@ -13,6 +14,7 @@ import {
 import { Source } from '../types/language-model';
 import { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';
 import { LanguageModelUsage } from '../types/usage';
+import { UIMessageStreamOnFinishCallback } from '../ui-message-stream/ui-message-stream-on-finish-callback';
 import { ContentPart } from './content-part';
 import { GeneratedFile } from './generated-file';
 import { ResponseMessage } from './response-message';
@@ -20,7 +22,6 @@ import { StepResult } from './step-result';
 import { ToolCallUnion } from './tool-call';
 import { ToolErrorUnion, ToolResultUnion } from './tool-output';
 import { ToolSet } from './tool-set';
-import { ErrorHandler } from '../../src/util/error-handler';
 
 export type UIMessageStreamOptions<UI_MESSAGE extends UIMessage> = {
   /**
@@ -29,24 +30,15 @@ export type UIMessageStreamOptions<UI_MESSAGE extends UIMessage> = {
    */
   originalMessages?: UI_MESSAGE[];
 
-  onFinish?: (options: {
-    /**
-     * The updates list of UI messages.
-     */
-    messages: UI_MESSAGE[];
-
-    /**
-     * Indicates whether the response message is a continuation of the last original message,
-     * or if a new message was created.
-     */
-    isContinuation: boolean;
+  /**
+   * Generate a message ID for the response message.
+   *
+   * If not provided, no message ID will be set for the response message (unless
+   * the original messages are provided and the last message is an assistant message).
+   */
+  generateMessageId?: IdGenerator;
 
-    /**
-     * The message that was sent to the client as a response
-     * (including the original message if it was extended).
-     */
-    responseMessage: UI_MESSAGE;
-  }) => void;
+  onFinish?: UIMessageStreamOnFinishCallback<UI_MESSAGE>;
 
   /**
    * Extracts message metadata that will be send to the client.
@@ -269,7 +261,7 @@ If an error occurs, it is passed to the optional `onError` callback.
      */
   toUIMessageStream<UI_MESSAGE extends UIMessage>(
     options?: UIMessageStreamOptions<UI_MESSAGE>,
-  ): ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>>;
+  ): AsyncIterableStream<InferUIMessageChunk<UI_MESSAGE>>;
 
   /**
   Writes UI message stream output to a Node.js response-like object.
@@ -331,7 +323,7 @@ export type TextStreamPart<TOOLS extends ToolSet> =
       providerMetadata?: ProviderMetadata;
     }
   | {
-      type: 'text';
+      type: 'text-delta';
       id: string;
       providerMetadata?: ProviderMetadata;
       text: string;
@@ -347,7 +339,7 @@ export type TextStreamPart<TOOLS extends ToolSet> =
       providerMetadata?: ProviderMetadata;
     }
   | {
-      type: 'reasoning';
+      type: 'reasoning-delta';
       providerMetadata?: ProviderMetadata;
       id: string;
       text: string;
@@ -395,6 +387,9 @@ export type TextStreamPart<TOOLS extends ToolSet> =
       finishReason: FinishReason;
       totalUsage: LanguageModelUsage;
     }
+  | {
+      type: 'abort';
+    }
   | {
       type: 'error';
       error: unknown;
diff --git a/packages/ai/core/generate-text/stream-text.test.ts b/packages/ai/src/generate-text/stream-text.test.ts
similarity index 82%
rename from packages/ai/core/generate-text/stream-text.test.ts
rename to packages/ai/src/generate-text/stream-text.test.ts
index a360260d42c2..7a17b5eb3e2f 100644
--- a/packages/ai/core/generate-text/stream-text.test.ts
+++ b/packages/ai/src/generate-text/stream-text.test.ts
@@ -7,7 +7,13 @@ import {
   LanguageModelV2StreamPart,
   SharedV2ProviderMetadata,
 } from '@ai-sdk/provider';
-import { delay, jsonSchema, tool, Tool } from '@ai-sdk/provider-utils';
+import {
+  delay,
+  jsonSchema,
+  ModelMessage,
+  tool,
+  Tool,
+} from '@ai-sdk/provider-utils';
 import {
   convertArrayToReadableStream,
   convertAsyncIterableToArray,
@@ -77,6 +83,9 @@ function createTestModel({
       type: 'finish',
       finishReason: 'stop',
       usage: testUsage,
+      providerMetadata: {
+        testProvider: { testKey: 'testValue' },
+      },
     },
   ]),
   request = undefined,
@@ -198,7 +207,7 @@ const modelWithReasoning = new MockLanguageModelV2({
       {
         type: 'reasoning-delta',
         id: '1',
-        delta: ' with witty banter. ',
+        delta: ' with witty banter.',
       },
       {
         type: 'reasoning-delta',
@@ -221,7 +230,7 @@ const modelWithReasoning = new MockLanguageModelV2({
       {
         type: 'reasoning-delta',
         id: '3',
-        delta: 'Once the user has relaxed,',
+        delta: ' Once the user has relaxed,',
       },
       {
         type: 'reasoning-delta',
@@ -235,6 +244,59 @@ const modelWithReasoning = new MockLanguageModelV2({
           testProvider: { signature: '1234567890' },
         } as SharedV2ProviderMetadata,
       },
+      {
+        type: 'reasoning-start',
+        id: '4',
+        providerMetadata: {
+          testProvider: { signature: '1234567890' },
+        } as SharedV2ProviderMetadata,
+      },
+      {
+        type: 'reasoning-delta',
+        id: '4',
+        delta: ' I need to think about',
+      },
+      {
+        type: 'reasoning-delta',
+        id: '4',
+        delta: ' this problem carefully.',
+      },
+      {
+        type: 'reasoning-start',
+        id: '5',
+        providerMetadata: {
+          testProvider: { signature: '1234567890' },
+        } as SharedV2ProviderMetadata,
+      },
+      {
+        type: 'reasoning-delta',
+        id: '5',
+        delta: ' The best solution',
+      },
+      {
+        type: 'reasoning-delta',
+        id: '5',
+        delta: ' requires careful',
+      },
+      {
+        type: 'reasoning-delta',
+        id: '5',
+        delta: ' consideration of all factors.',
+      },
+      {
+        type: 'reasoning-end',
+        id: '4',
+        providerMetadata: {
+          testProvider: { signature: '0987654321' },
+        } as SharedV2ProviderMetadata,
+      },
+      {
+        type: 'reasoning-end',
+        id: '5',
+        providerMetadata: {
+          testProvider: { signature: '0987654321' },
+        } as SharedV2ProviderMetadata,
+      },
       { type: 'text-start', id: '1' },
       { type: 'text-delta', id: '1', delta: 'Hi' },
       { type: 'text-delta', id: '1', delta: ' there!' },
@@ -382,72 +444,72 @@ describe('streamText', () => {
 
       expect(await convertAsyncIterableToArray(result.fullStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": ", ",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "world!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "response-id",
-              "modelId": "response-model-id",
-              "timestamp": 1970-01-01T00:00:05.000Z,
+          [
+            {
+              "type": "start",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "1",
+              "type": "text-start",
             },
-            "type": "finish",
-          },
-        ]
-      `);
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": ", ",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "world!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "response-id",
+                "modelId": "response-model-id",
+                "timestamp": 1970-01-01T00:00:05.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
     });
 
     it('should send reasoning deltas', async () => {
@@ -458,304 +520,370 @@ describe('streamText', () => {
 
       expect(await convertAsyncIterableToArray(result.fullStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "id": "1",
-            "type": "reasoning-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "I will open the conversation",
-            "type": "reasoning",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": " with witty banter. ",
-            "type": "reasoning",
-          },
-          {
-            "id": "1",
-            "providerMetadata": {
-              "testProvider": {
-                "signature": "1234567890",
-              },
+          [
+            {
+              "type": "start",
             },
-            "text": "",
-            "type": "reasoning",
-          },
-          {
-            "id": "1",
-            "type": "reasoning-end",
-          },
-          {
-            "id": "2",
-            "providerMetadata": {
-              "testProvider": {
-                "redactedData": "redacted-reasoning-data",
-              },
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
             },
-            "type": "reasoning-start",
-          },
-          {
-            "id": "2",
-            "type": "reasoning-end",
-          },
-          {
-            "id": "3",
-            "type": "reasoning-start",
-          },
-          {
-            "id": "3",
-            "providerMetadata": undefined,
-            "text": "Once the user has relaxed,",
-            "type": "reasoning",
-          },
-          {
-            "id": "3",
-            "providerMetadata": undefined,
-            "text": " I will pry for valuable information.",
-            "type": "reasoning",
-          },
-          {
-            "id": "3",
-            "providerMetadata": {
-              "testProvider": {
-                "signature": "1234567890",
-              },
+            {
+              "id": "1",
+              "type": "reasoning-start",
             },
-            "type": "reasoning-end",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hi",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": " there!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "id-0",
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "I will open the conversation",
+              "type": "reasoning-delta",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": " with witty banter.",
+              "type": "reasoning-delta",
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
+              },
+              "text": "",
+              "type": "reasoning-delta",
             },
-            "type": "finish",
-          },
-        ]
-      `);
-    });
-
-    it('should send sources', async () => {
-      const result = streamText({
-        model: modelWithSources,
-        ...defaultSettings(),
-      });
-
-      expect(await convertAsyncIterableToArray(result.fullStream))
-        .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "id": "123",
-            "providerMetadata": {
-              "provider": {
-                "custom": "value",
+            {
+              "id": "1",
+              "type": "reasoning-end",
+            },
+            {
+              "id": "2",
+              "providerMetadata": {
+                "testProvider": {
+                  "redactedData": "redacted-reasoning-data",
+                },
               },
+              "type": "reasoning-start",
             },
-            "sourceType": "url",
-            "title": "Example",
-            "type": "source",
-            "url": "https://example.com",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "id": "456",
-            "providerMetadata": {
-              "provider": {
-                "custom": "value2",
+            {
+              "id": "2",
+              "type": "reasoning-end",
+            },
+            {
+              "id": "3",
+              "type": "reasoning-start",
+            },
+            {
+              "id": "3",
+              "providerMetadata": undefined,
+              "text": " Once the user has relaxed,",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "3",
+              "providerMetadata": undefined,
+              "text": " I will pry for valuable information.",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "3",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
               },
+              "type": "reasoning-end",
             },
-            "sourceType": "url",
-            "title": "Example 2",
-            "type": "source",
-            "url": "https://example.com/2",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "id-0",
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
+            {
+              "id": "4",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
+              },
+              "type": "reasoning-start",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "4",
+              "providerMetadata": undefined,
+              "text": " I need to think about",
+              "type": "reasoning-delta",
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "4",
+              "providerMetadata": undefined,
+              "text": " this problem carefully.",
+              "type": "reasoning-delta",
             },
-            "type": "finish",
-          },
-        ]
-      `);
+            {
+              "id": "5",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
+              },
+              "type": "reasoning-start",
+            },
+            {
+              "id": "5",
+              "providerMetadata": undefined,
+              "text": " The best solution",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "5",
+              "providerMetadata": undefined,
+              "text": " requires careful",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "5",
+              "providerMetadata": undefined,
+              "text": " consideration of all factors.",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "4",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "0987654321",
+                },
+              },
+              "type": "reasoning-end",
+            },
+            {
+              "id": "5",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "0987654321",
+                },
+              },
+              "type": "reasoning-end",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hi",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": " there!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
     });
 
-    it('should send files', async () => {
+    it('should send sources', async () => {
       const result = streamText({
-        model: modelWithFiles,
+        model: modelWithSources,
         ...defaultSettings(),
       });
 
       expect(await convertAsyncIterableToArray(result.fullStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "file": DefaultGeneratedFileWithType {
-              "base64Data": "Hello World",
-              "mediaType": "text/plain",
-              "type": "file",
-              "uint8ArrayData": undefined,
-            },
-            "type": "file",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "file": DefaultGeneratedFileWithType {
-              "base64Data": "QkFVRw==",
-              "mediaType": "image/jpeg",
-              "type": "file",
-              "uint8ArrayData": undefined,
-            },
-            "type": "file",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "id-0",
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
+          [
+            {
+              "type": "start",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "123",
+              "providerMetadata": {
+                "provider": {
+                  "custom": "value",
+                },
+              },
+              "sourceType": "url",
+              "title": "Example",
+              "type": "source",
+              "url": "https://example.com",
             },
-            "type": "finish",
-          },
-        ]
-      `);
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "id": "456",
+              "providerMetadata": {
+                "provider": {
+                  "custom": "value2",
+                },
+              },
+              "sourceType": "url",
+              "title": "Example 2",
+              "type": "source",
+              "url": "https://example.com/2",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
+    });
+
+    it('should send files', async () => {
+      const result = streamText({
+        model: modelWithFiles,
+        ...defaultSettings(),
+      });
+
+      expect(await convertAsyncIterableToArray(result.fullStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start",
+            },
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
+            },
+            {
+              "file": DefaultGeneratedFileWithType {
+                "base64Data": "Hello World",
+                "mediaType": "text/plain",
+                "type": "file",
+                "uint8ArrayData": undefined,
+              },
+              "type": "file",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "file": DefaultGeneratedFileWithType {
+                "base64Data": "QkFVRw==",
+                "mediaType": "image/jpeg",
+                "type": "file",
+                "uint8ArrayData": undefined,
+              },
+              "type": "file",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
     });
 
     it('should use fallback response metadata when response metadata is not provided', async () => {
@@ -795,106 +923,107 @@ describe('streamText', () => {
 
       expect(await convertAsyncIterableToArray(result.fullStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": ", ",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "world!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "id-2000",
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:02.000Z,
+          [
+            {
+              "type": "start",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "1",
+              "type": "text-start",
             },
-            "type": "finish",
-          },
-        ]
-      `);
-    });
-
-    it('should send tool calls', async () => {
-      const result = streamText({
-        model: new MockLanguageModelV2({
-          doStream: async ({ prompt, tools, toolChoice }) => {
-            expect(tools).toStrictEqual([
-              {
-                type: 'function',
-                name: 'tool1',
-                description: undefined,
-                inputSchema: {
-                  $schema: 'http://json-schema.org/draft-07/schema#',
-                  additionalProperties: false,
-                  properties: { value: { type: 'string' } },
-                  required: ['value'],
-                  type: 'object',
-                },
-              },
-            ]);
-
-            expect(toolChoice).toStrictEqual({ type: 'required' });
-
-            expect(prompt).toStrictEqual([
-              {
-                role: 'user',
-                content: [{ type: 'text', text: 'test-input' }],
-                providerOptions: undefined,
-              },
-            ]);
-
-            return {
-              stream: convertArrayToReadableStream([
-                {
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": ", ",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "world!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-2000",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:02.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
+    });
+
+    it('should send tool calls', async () => {
+      const result = streamText({
+        model: new MockLanguageModelV2({
+          doStream: async ({ prompt, tools, toolChoice }) => {
+            expect(tools).toStrictEqual([
+              {
+                type: 'function',
+                name: 'tool1',
+                description: undefined,
+                inputSchema: {
+                  $schema: 'http://json-schema.org/draft-07/schema#',
+                  additionalProperties: false,
+                  properties: { value: { type: 'string' } },
+                  required: ['value'],
+                  type: 'object',
+                },
+                providerOptions: undefined,
+              },
+            ]);
+
+            expect(toolChoice).toStrictEqual({ type: 'required' });
+
+            expect(prompt).toStrictEqual([
+              {
+                role: 'user',
+                content: [{ type: 'text', text: 'test-input' }],
+                providerOptions: undefined,
+              },
+            ]);
+
+            return {
+              stream: convertArrayToReadableStream([
+                {
                   type: 'response-metadata',
                   id: 'id-0',
                   modelId: 'mock-model-id',
@@ -905,6 +1034,11 @@ describe('streamText', () => {
                   toolCallId: 'call-1',
                   toolName: 'tool1',
                   input: `{ "value": "value" }`,
+                  providerMetadata: {
+                    testProvider: {
+                      signature: 'sig',
+                    },
+                  },
                 },
                 {
                   type: 'finish',
@@ -1065,6 +1199,7 @@ describe('streamText', () => {
                 "value": "Sparkle Day",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call_O17Uplv4lJvD6DVdIvFFeRMw",
               "toolName": "test-tool",
               "type": "tool-call",
@@ -1216,74 +1351,76 @@ describe('streamText', () => {
 
       expect(await convertAsyncIterableToArray(result.fullStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start",
-          },
-          {
-            "request": {},
-            "type": "start-step",
-            "warnings": [],
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": ", ",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "world!",
-            "type": "text",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "response": {
-              "headers": undefined,
-              "id": "id-0",
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
+          [
+            {
+              "type": "start",
             },
-            "type": "finish-step",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
             },
-          },
-          {
-            "finishReason": "stop",
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
+            {
+              "id": "1",
+              "type": "text-start",
             },
-            "type": "finish",
-          },
-        ]
-      `);
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": ", ",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "world!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
     });
+  });
 
+  describe('errors', () => {
     it('should forward error in doStream as error stream part', async () => {
       const result = streamText({
         model: new MockLanguageModelV2({
@@ -1307,57 +1444,130 @@ describe('streamText', () => {
         },
       ]);
     });
-  });
 
-  describe('result.pipeUIMessageStreamToResponse', async () => {
-    it('should write data stream parts to a Node.js response-like object', async () => {
-      const mockResponse = createMockServerResponse();
+    it('should invoke onError callback when error is thrown', async () => {
+      const onError = vi.fn();
 
       const result = streamText({
-        model: createTestModel(),
+        model: new MockLanguageModelV2({
+          doStream: async () => {
+            throw new Error('test error');
+          },
+        }),
         prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
+        onError,
       });
 
-      result.pipeUIMessageStreamToResponse(mockResponse);
-
-      await mockResponse.waitForEnd();
-
-      expect(mockResponse.statusCode).toBe(200);
-      expect(mockResponse.headers).toMatchInlineSnapshot(`
-        {
-          "cache-control": "no-cache",
-          "connection": "keep-alive",
-          "content-type": "text/event-stream",
-          "x-accel-buffering": "no",
-          "x-vercel-ai-ui-message-stream": "v1",
-        }
-      `);
-      expect(mockResponse.getDecodedChunks()).toMatchInlineSnapshot(`
-        [
-          "data: {"type":"start"}
-
-        ",
-          "data: {"type":"start-step"}
-
-        ",
-          "data: {"type":"text-start","id":"1"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"Hello"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":", "}
+      await result.consumeStream();
 
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"world!"}
+      expect(onError).toHaveBeenCalledWith({
+        error: new Error('test error'),
+      });
+    });
 
-        ",
-          "data: {"type":"text-end","id":"1"}
+    it('should invoke onError callback when error is thrown in 2nd step', async () => {
+      const onError = vi.fn();
+      let responseCount = 0;
 
-        ",
+      const result = streamText({
+        model: new MockLanguageModelV2({
+          doStream: async ({ prompt, tools, toolChoice }) => {
+            if (responseCount++ === 0) {
+              return {
+                stream: convertArrayToReadableStream([
+                  {
+                    type: 'response-metadata',
+                    id: 'id-0',
+                    modelId: 'mock-model-id',
+                    timestamp: new Date(0),
+                  },
+                  {
+                    type: 'tool-call',
+                    toolCallId: 'call-1',
+                    toolName: 'tool1',
+                    input: `{ "value": "value" }`,
+                  },
+                  {
+                    type: 'finish',
+                    finishReason: 'tool-calls',
+                    usage: testUsage,
+                  },
+                ]),
+                response: { headers: { call: '1' } },
+              };
+            }
+
+            throw new Error('test error');
+          },
+        }),
+        prompt: 'test-input',
+        tools: {
+          tool1: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async () => 'result1',
+          },
+        },
+        stopWhen: stepCountIs(3),
+        onError,
+      });
+
+      await result.consumeStream();
+
+      expect(onError).toHaveBeenCalledWith({
+        error: new Error('test error'),
+      });
+    });
+  });
+
+  describe('result.pipeUIMessageStreamToResponse', async () => {
+    it('should write data stream parts to a Node.js response-like object', async () => {
+      const mockResponse = createMockServerResponse();
+
+      const result = streamText({
+        model: createTestModel(),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
+      });
+
+      result.pipeUIMessageStreamToResponse(mockResponse);
+
+      await mockResponse.waitForEnd();
+
+      expect(mockResponse.statusCode).toBe(200);
+      expect(mockResponse.headers).toMatchInlineSnapshot(`
+        {
+          "cache-control": "no-cache",
+          "connection": "keep-alive",
+          "content-type": "text/event-stream",
+          "x-accel-buffering": "no",
+          "x-vercel-ai-ui-message-stream": "v1",
+        }
+      `);
+      expect(mockResponse.getDecodedChunks()).toMatchInlineSnapshot(`
+        [
+          "data: {"type":"start"}
+
+        ",
+          "data: {"type":"start-step"}
+
+        ",
+          "data: {"type":"text-start","id":"1"}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"Hello"}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":", "}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"world!"}
+
+        ",
+          "data: {"type":"text-end","id":"1"}
+
+        ",
           "data: {"type":"finish-step"}
 
         ",
@@ -1578,7 +1788,7 @@ describe('streamText', () => {
           "data: {"type":"reasoning-delta","id":"1","delta":"I will open the conversation"}
 
         ",
-          "data: {"type":"reasoning-delta","id":"1","delta":" with witty banter. "}
+          "data: {"type":"reasoning-delta","id":"1","delta":" with witty banter."}
 
         ",
           "data: {"type":"reasoning-delta","id":"1","delta":"","providerMetadata":{"testProvider":{"signature":"1234567890"}}}
@@ -1596,7 +1806,7 @@ describe('streamText', () => {
           "data: {"type":"reasoning-start","id":"3"}
 
         ",
-          "data: {"type":"reasoning-delta","id":"3","delta":"Once the user has relaxed,"}
+          "data: {"type":"reasoning-delta","id":"3","delta":" Once the user has relaxed,"}
 
         ",
           "data: {"type":"reasoning-delta","id":"3","delta":" I will pry for valuable information."}
@@ -1604,6 +1814,33 @@ describe('streamText', () => {
         ",
           "data: {"type":"reasoning-end","id":"3","providerMetadata":{"testProvider":{"signature":"1234567890"}}}
 
+        ",
+          "data: {"type":"reasoning-start","id":"4","providerMetadata":{"testProvider":{"signature":"1234567890"}}}
+
+        ",
+          "data: {"type":"reasoning-delta","id":"4","delta":" I need to think about"}
+
+        ",
+          "data: {"type":"reasoning-delta","id":"4","delta":" this problem carefully."}
+
+        ",
+          "data: {"type":"reasoning-start","id":"5","providerMetadata":{"testProvider":{"signature":"1234567890"}}}
+
+        ",
+          "data: {"type":"reasoning-delta","id":"5","delta":" The best solution"}
+
+        ",
+          "data: {"type":"reasoning-delta","id":"5","delta":" requires careful"}
+
+        ",
+          "data: {"type":"reasoning-delta","id":"5","delta":" consideration of all factors."}
+
+        ",
+          "data: {"type":"reasoning-end","id":"4","providerMetadata":{"testProvider":{"signature":"0987654321"}}}
+
+        ",
+          "data: {"type":"reasoning-end","id":"5","providerMetadata":{"testProvider":{"signature":"0987654321"}}}
+
         ",
           "data: {"type":"text-start","id":"1"}
 
@@ -1785,7 +2022,7 @@ describe('streamText', () => {
   });
 
   describe('result.toUIMessageStream', () => {
-    it('should create a data stream', async () => {
+    it('should create a ui message stream', async () => {
       const result = streamText({
         model: createTestModel(),
         ...defaultSettings(),
@@ -1793,242 +2030,106 @@ describe('streamText', () => {
 
       const uiMessageStream = result.toUIMessageStream();
 
-      expect(await convertReadableStreamToArray(uiMessageStream))
-        .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "delta": ", ",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "delta": "world!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
-    });
-
-    it('should send tool call, tool call stream start, tool call deltas, and tool result stream parts', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'tool-input-start', id: 'call-1', toolName: 'tool1' },
-            { type: 'tool-input-delta', id: 'call-1', delta: '{ "value":' },
-            { type: 'tool-input-delta', id: 'call-1', delta: ' "value" }' },
-            { type: 'tool-input-end', id: 'call-1' },
-            {
-              type: 'tool-call',
-              toolCallId: 'call-1',
-              toolName: 'tool1',
-              input: `{ "value": "value" }`,
-            },
-            {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
-            },
-          ]),
-        }),
-        tools: {
-          tool1: {
-            inputSchema: z.object({ value: z.string() }),
-            execute: async ({ value }) => `${value}-result`,
-          },
-        },
-        ...defaultSettings(),
-      });
-
-      expect(
-        await convertReadableStreamToArray(result.toUIMessageStream()),
-      ).toMatchSnapshot();
-    });
-
-    it('should send metadata as defined in the metadata function', async () => {
-      const result = streamText({
-        model: createTestModel(),
-        ...defaultSettings(),
-      });
-
-      const uiMessageStream = result.toUIMessageStream({
-        messageMetadata: mockValues(
-          { key1: 'value1' },
-          { key2: 'value2' },
-          { key3: 'value3' },
-          { key4: 'value4' },
-          { key5: 'value5' },
-          { key6: 'value6' },
-          { key7: 'value7' },
-          { key8: 'value8' },
-        ),
-      });
-
       expect(await convertReadableStreamToArray(uiMessageStream))
         .toMatchInlineSnapshot(`
           [
             {
-              "messageId": undefined,
-              "messageMetadata": {
-                "key1": "value1",
-              },
               "type": "start",
             },
             {
               "type": "start-step",
             },
-            {
-              "messageMetadata": {
-                "key2": "value2",
-              },
-              "type": "message-metadata",
-            },
             {
               "id": "1",
               "type": "text-start",
             },
-            {
-              "messageMetadata": {
-                "key3": "value3",
-              },
-              "type": "message-metadata",
-            },
             {
               "delta": "Hello",
               "id": "1",
               "type": "text-delta",
             },
-            {
-              "messageMetadata": {
-                "key4": "value4",
-              },
-              "type": "message-metadata",
-            },
             {
               "delta": ", ",
               "id": "1",
               "type": "text-delta",
             },
-            {
-              "messageMetadata": {
-                "key5": "value5",
-              },
-              "type": "message-metadata",
-            },
             {
               "delta": "world!",
               "id": "1",
               "type": "text-delta",
             },
-            {
-              "messageMetadata": {
-                "key6": "value6",
-              },
-              "type": "message-metadata",
-            },
             {
               "id": "1",
               "type": "text-end",
             },
-            {
-              "messageMetadata": {
-                "key7": "value7",
-              },
-              "type": "message-metadata",
-            },
             {
               "type": "finish-step",
             },
             {
-              "messageMetadata": {
-                "key8": "value8",
-              },
-              "type": "message-metadata",
-            },
-            {
-              "messageMetadata": {
-                "key8": "value8",
-              },
               "type": "finish",
             },
           ]
         `);
     });
 
-    it('should mask error messages by default', async () => {
+    it('should create a ui message stream with provider metadata', async () => {
       const result = streamText({
         model: createTestModel({
           stream: convertArrayToReadableStream([
-            { type: 'error', error: 'error' },
-          ]),
-        }),
-        ...defaultSettings(),
-        onError: () => {},
-      });
-
-      const uiMessageStream = result.toUIMessageStream();
-
-      expect(
-        await convertReadableStreamToArray(uiMessageStream),
-      ).toMatchSnapshot();
-    });
-
-    it('should support custom error messages', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'error', error: 'error' },
-          ]),
-        }),
-        ...defaultSettings(),
-        onError: () => {},
-      });
-
-      const uiMessageStream = result.toUIMessageStream({
-        onError: error => `custom error message: ${error}`,
-      });
-
-      expect(
-        await convertReadableStreamToArray(uiMessageStream),
-      ).toMatchSnapshot();
-    });
-
-    it('should omit message finish event when sendFinish is false', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'stream-start', warnings: [] },
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello, World!' },
-            { type: 'text-end', id: '1' },
+            {
+              type: 'stream-start',
+              warnings: [],
+            },
+            {
+              type: 'reasoning-start',
+              id: 'r1',
+              providerMetadata: { testProvider: { signature: 'r1' } },
+            },
+            {
+              type: 'reasoning-delta',
+              id: 'r1',
+              delta: 'Hello',
+              providerMetadata: { testProvider: { signature: 'r2' } },
+            },
+            {
+              type: 'reasoning-delta',
+              id: 'r1',
+              delta: ', ',
+              providerMetadata: { testProvider: { signature: 'r3' } },
+            },
+            {
+              type: 'reasoning-end',
+              id: 'r1',
+              providerMetadata: { testProvider: { signature: 'r4' } },
+            },
+            {
+              type: 'text-start',
+              id: '1',
+              providerMetadata: { testProvider: { signature: '1' } },
+            },
+            {
+              type: 'text-delta',
+              id: '1',
+              delta: 'Hello',
+              providerMetadata: { testProvider: { signature: '2' } },
+            },
+            {
+              type: 'text-delta',
+              id: '1',
+              delta: ', ',
+              providerMetadata: { testProvider: { signature: '3' } },
+            },
+            {
+              type: 'text-delta',
+              id: '1',
+              delta: 'world!',
+              providerMetadata: { testProvider: { signature: '4' } },
+            },
+            {
+              type: 'text-end',
+              id: '1',
+              providerMetadata: { testProvider: { signature: '5' } },
+            },
             {
               type: 'finish',
               finishReason: 'stop',
@@ -2039,47 +2140,127 @@ describe('streamText', () => {
         ...defaultSettings(),
       });
 
-      const uiMessageStream = result.toUIMessageStream({ sendFinish: false });
+      const uiMessageStream = result.toUIMessageStream();
 
       expect(await convertReadableStreamToArray(uiMessageStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello, World!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "type": "finish-step",
-          },
-        ]
-      `);
+          [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "r1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "r1",
+                },
+              },
+              "type": "reasoning-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "r1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "r2",
+                },
+              },
+              "type": "reasoning-delta",
+            },
+            {
+              "delta": ", ",
+              "id": "r1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "r3",
+                },
+              },
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "r1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "r4",
+                },
+              },
+              "type": "reasoning-end",
+            },
+            {
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1",
+                },
+              },
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "2",
+                },
+              },
+              "type": "text-delta",
+            },
+            {
+              "delta": ", ",
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "3",
+                },
+              },
+              "type": "text-delta",
+            },
+            {
+              "delta": "world!",
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "4",
+                },
+              },
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "5",
+                },
+              },
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
 
-    it('should omit message start event when sendStart is false', async () => {
+    it('should send tool call, tool call stream start, tool call deltas, and tool result stream parts', async () => {
       const result = streamText({
         model: createTestModel({
           stream: convertArrayToReadableStream([
-            { type: 'stream-start', warnings: [] },
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello, World!' },
-            { type: 'text-end', id: '1' },
+            { type: 'tool-input-start', id: 'call-1', toolName: 'tool1' },
+            { type: 'tool-input-delta', id: 'call-1', delta: '{ "value":' },
+            { type: 'tool-input-delta', id: 'call-1', delta: ' "value" }' },
+            { type: 'tool-input-end', id: 'call-1' },
+            {
+              type: 'tool-call',
+              toolCallId: 'call-1',
+              toolName: 'tool1',
+              input: `{ "value": "value" }`,
+            },
             {
               type: 'finish',
               finishReason: 'stop',
@@ -2087,775 +2268,418 @@ describe('streamText', () => {
             },
           ]),
         }),
+        tools: {
+          tool1: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async ({ value }) => `${value}-result`,
+          },
+        },
         ...defaultSettings(),
       });
 
-      const uiMessageStream = result.toUIMessageStream({ sendStart: false });
-
-      expect(await convertReadableStreamToArray(uiMessageStream))
-        .toMatchInlineSnapshot(`
-        [
-          {
-            "type": "start-step",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello, World!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
+      expect(
+        await convertReadableStreamToArray(result.toUIMessageStream()),
+      ).toMatchSnapshot();
     });
 
-    it('should send reasoning content when sendReasoning is true', async () => {
+    it('should send message metadata as defined in the metadata function', async () => {
       const result = streamText({
-        model: modelWithReasoning,
+        model: createTestModel(),
         ...defaultSettings(),
       });
 
-      const uiMessageStream = result.toUIMessageStream({ sendReasoning: true });
+      const uiMessageStream = result.toUIMessageStream({
+        messageMetadata: mockValues(
+          { key1: 'value1' },
+          { key2: 'value2' },
+          { key3: 'value3' },
+          { key4: 'value4' },
+          { key5: 'value5' },
+          { key6: 'value6' },
+          { key7: 'value7' },
+          { key8: 'value8' },
+        ),
+      });
 
       expect(await convertReadableStreamToArray(uiMessageStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "type": "reasoning-start",
-          },
-          {
-            "delta": "I will open the conversation",
-            "id": "1",
-            "providerMetadata": undefined,
-            "type": "reasoning-delta",
-          },
-          {
-            "delta": " with witty banter. ",
-            "id": "1",
-            "providerMetadata": undefined,
-            "type": "reasoning-delta",
-          },
-          {
-            "delta": "",
-            "id": "1",
-            "providerMetadata": {
-              "testProvider": {
-                "signature": "1234567890",
-              },
-            },
-            "type": "reasoning-delta",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "type": "reasoning-end",
-          },
-          {
-            "id": "2",
-            "providerMetadata": {
-              "testProvider": {
-                "redactedData": "redacted-reasoning-data",
+          [
+            {
+              "messageMetadata": {
+                "key1": "value1",
               },
+              "type": "start",
             },
-            "type": "reasoning-start",
-          },
-          {
-            "id": "2",
-            "providerMetadata": undefined,
-            "type": "reasoning-end",
-          },
-          {
-            "id": "3",
-            "providerMetadata": undefined,
-            "type": "reasoning-start",
-          },
-          {
-            "delta": "Once the user has relaxed,",
-            "id": "3",
-            "providerMetadata": undefined,
-            "type": "reasoning-delta",
-          },
-          {
-            "delta": " I will pry for valuable information.",
-            "id": "3",
-            "providerMetadata": undefined,
-            "type": "reasoning-delta",
-          },
-          {
-            "id": "3",
-            "providerMetadata": {
-              "testProvider": {
-                "signature": "1234567890",
+            {
+              "type": "start-step",
+            },
+            {
+              "messageMetadata": {
+                "key2": "value2",
               },
+              "type": "message-metadata",
             },
-            "type": "reasoning-end",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hi",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "delta": " there!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "messageMetadata": {
+                "key3": "value3",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "messageMetadata": {
+                "key4": "value4",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "delta": ", ",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "messageMetadata": {
+                "key5": "value5",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "delta": "world!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "messageMetadata": {
+                "key6": "value6",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "messageMetadata": {
+                "key7": "value7",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "messageMetadata": {
+                "key8": "value8",
+              },
+              "type": "message-metadata",
+            },
+            {
+              "messageMetadata": {
+                "key8": "value8",
+              },
+              "type": "finish",
+            },
+          ]
+        `);
     });
 
-    it('should send source content when sendSources is true', async () => {
+    it('should mask error messages by default', async () => {
       const result = streamText({
-        model: modelWithSources,
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'error', error: 'error' },
+          ]),
+        }),
         ...defaultSettings(),
+        onError: () => {},
       });
 
-      const uiMessageStream = result.toUIMessageStream({ sendSources: true });
+      const uiMessageStream = result.toUIMessageStream();
 
-      expect(await convertReadableStreamToArray(uiMessageStream))
-        .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "providerMetadata": {
-              "provider": {
-                "custom": "value",
-              },
-            },
-            "sourceId": "123",
-            "title": "Example",
-            "type": "source-url",
-            "url": "https://example.com",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "providerMetadata": {
-              "provider": {
-                "custom": "value2",
-              },
-            },
-            "sourceId": "456",
-            "title": "Example 2",
-            "type": "source-url",
-            "url": "https://example.com/2",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
+      expect(
+        await convertReadableStreamToArray(uiMessageStream),
+      ).toMatchSnapshot();
     });
 
-    it('should send document source content when sendSources is true', async () => {
+    it('should support custom error messages', async () => {
       const result = streamText({
-        model: modelWithDocumentSources,
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'error', error: 'error' },
+          ]),
+        }),
         ...defaultSettings(),
+        onError: () => {},
       });
 
-      const uiMessageStream = result.toUIMessageStream({ sendSources: true });
+      const uiMessageStream = result.toUIMessageStream({
+        onError: error => `custom error message: ${error}`,
+      });
 
-      expect(await convertReadableStreamToArray(uiMessageStream))
-        .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "filename": "example.pdf",
-            "mediaType": "application/pdf",
-            "providerMetadata": {
-              "provider": {
-                "custom": "doc-value",
-              },
-            },
-            "sourceId": "doc-123",
-            "title": "Document Example",
-            "type": "source-document",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello from document!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "filename": undefined,
-            "mediaType": "text/plain",
-            "providerMetadata": {
-              "provider": {
-                "custom": "doc-value2",
-              },
-            },
-            "sourceId": "doc-456",
-            "title": "Text Document",
-            "type": "source-document",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
+      expect(
+        await convertReadableStreamToArray(uiMessageStream),
+      ).toMatchSnapshot();
     });
 
-    it('should send file content', async () => {
+    it('should omit message finish event when sendFinish is false', async () => {
       const result = streamText({
-        model: modelWithFiles,
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'stream-start', warnings: [] },
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello, World!' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+        }),
         ...defaultSettings(),
       });
 
-      const uiMessageStream = result.toUIMessageStream();
+      const uiMessageStream = result.toUIMessageStream({ sendFinish: false });
 
       expect(await convertReadableStreamToArray(uiMessageStream))
         .toMatchInlineSnapshot(`
-        [
-          {
-            "messageId": undefined,
-            "messageMetadata": undefined,
-            "type": "start",
-          },
-          {
-            "type": "start-step",
-          },
-          {
-            "mediaType": "text/plain",
-            "type": "file",
-            "url": "data:text/plain;base64,Hello World",
-          },
-          {
-            "id": "1",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello!",
-            "id": "1",
-            "type": "text-delta",
-          },
-          {
-            "id": "1",
-            "type": "text-end",
-          },
-          {
-            "mediaType": "image/jpeg",
-            "type": "file",
-            "url": "data:image/jpeg;base64,QkFVRw==",
-          },
-          {
-            "type": "finish-step",
-          },
-          {
-            "messageMetadata": undefined,
-            "type": "finish",
-          },
-        ]
-      `);
-    });
-  });
-
-  describe('result.toUIMessageStreamResponse', () => {
-    it('should create a Response with a data stream', async () => {
-      const result = streamText({
-        model: createTestModel(),
-        prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
-      });
-
-      const response = result.toUIMessageStreamResponse();
-
-      expect(response.status).toStrictEqual(200);
-      expect(Object.fromEntries(response.headers.entries()))
-        .toMatchInlineSnapshot(`
-          {
-            "cache-control": "no-cache",
-            "connection": "keep-alive",
-            "content-type": "text/event-stream",
-            "x-accel-buffering": "no",
-            "x-vercel-ai-ui-message-stream": "v1",
-          }
-        `);
-
-      expect(await convertResponseStreamToArray(response))
-        .toMatchInlineSnapshot(`
-        [
-          "data: {"type":"start"}
-
-        ",
-          "data: {"type":"start-step"}
-
-        ",
-          "data: {"type":"text-start","id":"1"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"Hello"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":", "}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"world!"}
-
-        ",
-          "data: {"type":"text-end","id":"1"}
-
-        ",
-          "data: {"type":"finish-step"}
-
-        ",
-          "data: {"type":"finish"}
-
-        ",
-          "data: [DONE]
-
-        ",
-        ]
-      `);
-    });
-
-    it('should create a Response with a data stream and custom headers', async () => {
-      const result = streamText({
-        model: createTestModel(),
-        prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
-      });
-
-      const response = result.toUIMessageStreamResponse({
-        status: 201,
-        statusText: 'foo',
-        headers: {
-          'custom-header': 'custom-value',
-        },
-      });
-
-      expect(response.status).toStrictEqual(201);
-      expect(response.statusText).toStrictEqual('foo');
-      expect(Object.fromEntries(response.headers.entries()))
-        .toMatchInlineSnapshot(`
-          {
-            "cache-control": "no-cache",
-            "connection": "keep-alive",
-            "content-type": "text/event-stream",
-            "custom-header": "custom-value",
-            "x-accel-buffering": "no",
-            "x-vercel-ai-ui-message-stream": "v1",
-          }
+          [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello, World!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+          ]
         `);
-      expect(await convertResponseStreamToArray(response))
-        .toMatchInlineSnapshot(`
-        [
-          "data: {"type":"start"}
-
-        ",
-          "data: {"type":"start-step"}
-
-        ",
-          "data: {"type":"text-start","id":"1"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"Hello"}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":", "}
-
-        ",
-          "data: {"type":"text-delta","id":"1","delta":"world!"}
-
-        ",
-          "data: {"type":"text-end","id":"1"}
-
-        ",
-          "data: {"type":"finish-step"}
-
-        ",
-          "data: {"type":"finish"}
-
-        ",
-          "data: [DONE]
-
-        ",
-        ]
-      `);
-    });
-
-    it('should mask error messages by default', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'error', error: 'error' },
-          ]),
-        }),
-        prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
-        onError: () => {},
-      });
-
-      const response = result.toUIMessageStreamResponse();
-
-      expect(await convertResponseStreamToArray(response)).toMatchSnapshot();
     });
 
-    it('should support custom error messages', async () => {
+    it('should omit message start event when sendStart is false', async () => {
       const result = streamText({
         model: createTestModel({
           stream: convertArrayToReadableStream([
-            { type: 'error', error: 'error' },
+            { type: 'stream-start', warnings: [] },
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello, World!' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
           ]),
         }),
-        prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
-        onError: () => {},
+        ...defaultSettings(),
       });
 
-      const response = result.toUIMessageStreamResponse({
-        onError: error => `custom error message: ${error}`,
-      });
+      const uiMessageStream = result.toUIMessageStream({ sendStart: false });
 
-      expect(await convertResponseStreamToArray(response)).toMatchSnapshot();
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello, World!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
-  });
 
-  describe('result.toTextStreamResponse', () => {
-    it('should create a Response with a text stream', async () => {
+    it('should send reasoning content when sendReasoning is true', async () => {
       const result = streamText({
-        model: createTestModel(),
-        prompt: 'test-input',
+        model: modelWithReasoning,
+        ...defaultSettings(),
       });
 
-      const response = result.toTextStreamResponse();
-
-      expect(response.status).toStrictEqual(200);
-      expect(Object.fromEntries(response.headers.entries())).toStrictEqual({
-        'content-type': 'text/plain; charset=utf-8',
-      });
-      expect(await convertResponseStreamToArray(response)).toStrictEqual([
-        'Hello',
-        ', ',
-        'world!',
-      ]);
-    });
-  });
+      const uiMessageStream = result.toUIMessageStream({ sendReasoning: true });
 
-  describe('result.consumeStream', () => {
-    it('should ignore AbortError during stream consumption', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: new ReadableStream({
-            start(controller) {
-              controller.enqueue({ type: 'text-start', id: '1' });
-              controller.enqueue({
-                type: 'text-delta',
-                id: '1',
-                delta: 'Hello',
-              });
-              queueMicrotask(() => {
-                controller.error(
-                  Object.assign(new Error('Stream aborted'), {
-                    name: 'AbortError',
-                  }),
-                );
-              });
-            },
-          }),
-        }),
-        prompt: 'test-input',
-      });
-
-      await expect(result.consumeStream()).resolves.not.toThrow();
-    });
-
-    it('should ignore ResponseAborted error during stream consumption', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: new ReadableStream({
-            start(controller) {
-              controller.enqueue({ type: 'text-start', id: '1' });
-              controller.enqueue({
-                type: 'text-delta',
-                id: '1',
-                delta: 'Hello',
-              });
-              queueMicrotask(() => {
-                controller.error(
-                  Object.assign(new Error('Response aborted'), {
-                    name: 'ResponseAborted',
-                  }),
-                );
-              });
-            },
-          }),
-        }),
-        prompt: 'test-input',
-      });
-
-      await expect(result.consumeStream()).resolves.not.toThrow();
-    });
-
-    it('should ignore any errors during stream consumption', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: new ReadableStream({
-            start(controller) {
-              controller.enqueue({ type: 'text-start', id: '1' });
-              controller.enqueue({
-                type: 'text-delta',
-                id: '1',
-                delta: 'Hello',
-              });
-              queueMicrotask(() => {
-                controller.error(Object.assign(new Error('Some error')));
-              });
-            },
-          }),
-        }),
-        prompt: 'test-input',
-      });
-
-      await expect(result.consumeStream()).resolves.not.toThrow();
-    });
-
-    it('should call the onError callback with the error', async () => {
-      const onErrorCallback = vi.fn();
-      const result = streamText({
-        model: createTestModel({
-          stream: new ReadableStream({
-            start(controller) {
-              controller.enqueue({ type: 'text-start', id: '1' });
-              controller.enqueue({
-                type: 'text-delta',
-                id: '1',
-                delta: 'Hello',
-              });
-              queueMicrotask(() => {
-                controller.error(Object.assign(new Error('Some error')));
-              });
-            },
-          }),
-        }),
-        prompt: 'test-input',
-      });
-
-      await expect(
-        result.consumeStream({ onError: onErrorCallback }),
-      ).resolves.not.toThrow();
-      expect(onErrorCallback).toHaveBeenCalledWith(new Error('Some error'));
-    });
-  });
-
-  describe('multiple stream consumption', () => {
-    it('should support text stream, ai stream, full stream on single result object', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            {
-              type: 'response-metadata',
-              id: 'id-0',
-              modelId: 'mock-model-id',
-              timestamp: new Date(0),
-            },
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-delta', id: '1', delta: ', ' },
-            { type: 'text-delta', id: '1', delta: 'world!' },
-            { type: 'text-end', id: '1' },
-            {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
-            },
-          ]),
-        }),
-        prompt: 'test-input',
-        _internal: {
-          generateId: mockId({ prefix: 'id' }),
-        },
-      });
-
-      expect({
-        textStream: await convertAsyncIterableToArray(result.textStream),
-        fullStream: await convertAsyncIterableToArray(result.fullStream),
-        uiMessageStream: await convertReadableStreamToArray(
-          result.toUIMessageStream(),
-        ),
-      }).toMatchInlineSnapshot(`
-        {
-          "fullStream": [
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
             {
               "type": "start",
             },
             {
-              "request": {},
               "type": "start-step",
-              "warnings": [],
             },
             {
               "id": "1",
-              "type": "text-start",
+              "type": "reasoning-start",
             },
             {
+              "delta": "I will open the conversation",
               "id": "1",
-              "providerMetadata": undefined,
-              "text": "Hello",
-              "type": "text",
+              "type": "reasoning-delta",
             },
             {
+              "delta": " with witty banter.",
               "id": "1",
-              "providerMetadata": undefined,
-              "text": ", ",
-              "type": "text",
+              "type": "reasoning-delta",
             },
             {
+              "delta": "",
               "id": "1",
-              "providerMetadata": undefined,
-              "text": "world!",
-              "type": "text",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
+              },
+              "type": "reasoning-delta",
             },
             {
               "id": "1",
-              "type": "text-end",
+              "type": "reasoning-end",
             },
             {
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "response": {
-                "headers": undefined,
-                "id": "id-0",
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:00.000Z,
+              "id": "2",
+              "providerMetadata": {
+                "testProvider": {
+                  "redactedData": "redacted-reasoning-data",
+                },
               },
-              "type": "finish-step",
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
+              "type": "reasoning-start",
+            },
+            {
+              "id": "2",
+              "type": "reasoning-end",
+            },
+            {
+              "id": "3",
+              "type": "reasoning-start",
+            },
+            {
+              "delta": " Once the user has relaxed,",
+              "id": "3",
+              "type": "reasoning-delta",
+            },
+            {
+              "delta": " I will pry for valuable information.",
+              "id": "3",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "3",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
               },
+              "type": "reasoning-end",
             },
             {
-              "finishReason": "stop",
-              "totalUsage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
+              "id": "4",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
               },
-              "type": "finish",
+              "type": "reasoning-start",
             },
-          ],
-          "textStream": [
-            "Hello",
-            ", ",
-            "world!",
-          ],
-          "uiMessageStream": [
             {
-              "messageId": undefined,
-              "messageMetadata": undefined,
-              "type": "start",
+              "delta": " I need to think about",
+              "id": "4",
+              "type": "reasoning-delta",
             },
             {
-              "type": "start-step",
+              "delta": " this problem carefully.",
+              "id": "4",
+              "type": "reasoning-delta",
             },
             {
-              "id": "1",
-              "type": "text-start",
+              "id": "5",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "1234567890",
+                },
+              },
+              "type": "reasoning-start",
+            },
+            {
+              "delta": " The best solution",
+              "id": "5",
+              "type": "reasoning-delta",
+            },
+            {
+              "delta": " requires careful",
+              "id": "5",
+              "type": "reasoning-delta",
+            },
+            {
+              "delta": " consideration of all factors.",
+              "id": "5",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "4",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "0987654321",
+                },
+              },
+              "type": "reasoning-end",
+            },
+            {
+              "id": "5",
+              "providerMetadata": {
+                "testProvider": {
+                  "signature": "0987654321",
+                },
+              },
+              "type": "reasoning-end",
             },
             {
-              "delta": "Hello",
               "id": "1",
-              "type": "text-delta",
+              "type": "text-start",
             },
             {
-              "delta": ", ",
+              "delta": "Hi",
               "id": "1",
               "type": "text-delta",
             },
             {
-              "delta": "world!",
+              "delta": " there!",
               "id": "1",
               "type": "text-delta",
             },
@@ -2867,340 +2691,1082 @@ describe('streamText', () => {
               "type": "finish-step",
             },
             {
-              "messageMetadata": undefined,
               "type": "finish",
             },
-          ],
-        }
-      `);
+          ]
+        `);
     });
-  });
 
-  describe('result.warnings', () => {
-    it('should resolve with warnings', async () => {
+    it('should send source content when sendSources is true', async () => {
       const result = streamText({
-        model: createTestModel({
-          warnings: [{ type: 'other', message: 'test-warning' }],
-        }),
-        prompt: 'test-input',
+        model: modelWithSources,
+        ...defaultSettings(),
       });
 
-      result.consumeStream();
-
-      expect(await result.warnings).toStrictEqual([
-        { type: 'other', message: 'test-warning' },
-      ]);
-    });
-  });
+      const uiMessageStream = result.toUIMessageStream({ sendSources: true });
 
-  describe('result.usage', () => {
-    it('should resolve with token usage', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-end', id: '1' },
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
             {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
+              "type": "start",
             },
-          ]),
-        }),
-        prompt: 'test-input',
-      });
-
-      result.consumeStream();
-
-      expect(await result.usage).toMatchInlineSnapshot(`
-        {
-          "cachedInputTokens": undefined,
-          "inputTokens": 3,
-          "outputTokens": 10,
-          "reasoningTokens": undefined,
-          "totalTokens": 13,
-        }
-      `);
-    });
-  });
-
-  describe('result.finishReason', () => {
-    it('should resolve with finish reason', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-end', id: '1' },
             {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
+              "type": "start-step",
             },
-          ]),
-        }),
-        prompt: 'test-input',
-      });
-
-      result.consumeStream();
-
-      expect(await result.finishReason).toStrictEqual('stop');
-    });
-  });
-
-  describe('result.providerMetadata', () => {
-    it('should resolve with provider metadata', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-end', id: '1' },
             {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
-              providerMetadata: {
-                testProvider: { testKey: 'testValue' },
+              "providerMetadata": {
+                "provider": {
+                  "custom": "value",
+                },
               },
+              "sourceId": "123",
+              "title": "Example",
+              "type": "source-url",
+              "url": "https://example.com",
             },
-          ]),
-        }),
-        prompt: 'test-input',
-      });
-
-      result.consumeStream();
-
-      expect(await result.providerMetadata).toStrictEqual({
-        testProvider: { testKey: 'testValue' },
-      });
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "providerMetadata": {
+                "provider": {
+                  "custom": "value2",
+                },
+              },
+              "sourceId": "456",
+              "title": "Example 2",
+              "type": "source-url",
+              "url": "https://example.com/2",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
-  });
 
-  describe('result.response.messages', () => {
-    it('should contain reasoning', async () => {
+    it('should send document source content when sendSources is true', async () => {
       const result = streamText({
-        model: modelWithReasoning,
+        model: modelWithDocumentSources,
         ...defaultSettings(),
       });
 
-      result.consumeStream();
+      const uiMessageStream = result.toUIMessageStream({ sendSources: true });
 
-      expect((await result.response).messages).toMatchInlineSnapshot(`
-        [
-          {
-            "content": [
-              {
-                "providerOptions": {
-                  "testProvider": {
-                    "signature": "1234567890",
-                  },
-                },
-                "text": "I will open the conversation with witty banter. ",
-                "type": "reasoning",
-              },
-              {
-                "providerOptions": {
-                  "testProvider": {
-                    "redactedData": "redacted-reasoning-data",
-                  },
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "filename": "example.pdf",
+              "mediaType": "application/pdf",
+              "providerMetadata": {
+                "provider": {
+                  "custom": "doc-value",
                 },
-                "text": "",
-                "type": "reasoning",
               },
-              {
-                "providerOptions": {
-                  "testProvider": {
-                    "signature": "1234567890",
-                  },
+              "sourceId": "doc-123",
+              "title": "Document Example",
+              "type": "source-document",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello from document!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "filename": undefined,
+              "mediaType": "text/plain",
+              "providerMetadata": {
+                "provider": {
+                  "custom": "doc-value2",
                 },
-                "text": "Once the user has relaxed, I will pry for valuable information.",
-                "type": "reasoning",
-              },
-              {
-                "providerMetadata": undefined,
-                "text": "Hi there!",
-                "type": "text",
               },
-            ],
-            "role": "assistant",
-          },
-        ]
-      `);
-    });
-  });
-
-  describe('result.request', () => {
-    it('should resolve with response information', async () => {
-      const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
+              "sourceId": "doc-456",
+              "title": "Text Document",
+              "type": "source-document",
+            },
             {
-              type: 'response-metadata',
-              id: 'id-0',
-              modelId: 'mock-model-id',
-              timestamp: new Date(0),
+              "type": "finish-step",
             },
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-end', id: '1' },
             {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
+              "type": "finish",
             },
-          ]),
-          request: { body: 'test body' },
-        }),
-        prompt: 'test-input',
-      });
-
-      result.consumeStream();
-
-      expect(await result.request).toStrictEqual({
-        body: 'test body',
-      });
+          ]
+        `);
     });
-  });
 
-  describe('result.response', () => {
-    it('should resolve with response information', async () => {
+    it('should send file content', async () => {
       const result = streamText({
-        model: createTestModel({
-          stream: convertArrayToReadableStream([
-            {
-              type: 'response-metadata',
-              id: 'id-0',
-              modelId: 'mock-model-id',
-              timestamp: new Date(0),
-            },
-            { type: 'text-start', id: '1' },
-            { type: 'text-delta', id: '1', delta: 'Hello' },
-            { type: 'text-end', id: '1' },
-            {
-              type: 'finish',
-              finishReason: 'stop',
-              usage: testUsage,
-            },
-          ]),
-          response: { headers: { call: '2' } },
-        }),
+        model: modelWithFiles,
         ...defaultSettings(),
       });
 
-      result.consumeStream();
+      const uiMessageStream = result.toUIMessageStream();
 
-      expect(await result.response).toMatchInlineSnapshot(`
-        {
-          "headers": {
-            "call": "2",
-          },
-          "id": "id-0",
-          "messages": [
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
             {
-              "content": [
-                {
-                  "providerMetadata": undefined,
-                  "text": "Hello",
-                  "type": "text",
-                },
-              ],
-              "role": "assistant",
+              "type": "start",
             },
-          ],
-          "modelId": "mock-model-id",
-          "timestamp": 1970-01-01T00:00:00.000Z,
-        }
-      `);
+            {
+              "type": "start-step",
+            },
+            {
+              "mediaType": "text/plain",
+              "type": "file",
+              "url": "data:text/plain;base64,Hello World",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "mediaType": "image/jpeg",
+              "type": "file",
+              "url": "data:image/jpeg;base64,QkFVRw==",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
-  });
 
-  describe('result.text', () => {
-    it('should resolve with full text', async () => {
+    it('should not generate a new message id when onFinish is provided and generateMessageId is not provided', async () => {
       const result = streamText({
         model: createTestModel(),
         ...defaultSettings(),
       });
 
-      result.consumeStream();
+      const uiMessageStream = result.toUIMessageStream({
+        onFinish: () => {}, // provided onFinish should trigger a new message id
+      });
 
-      expect(await result.text).toMatchSnapshot();
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": ", ",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": "world!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
-  });
 
-  describe('result.reasoningText', () => {
-    it('should contain reasoning text from model response', async () => {
+    it('should generate a new message id when generateMessageId is provided', async () => {
       const result = streamText({
-        model: modelWithReasoning,
+        model: createTestModel(),
         ...defaultSettings(),
       });
 
-      result.consumeStream();
+      const uiMessageStream = result.toUIMessageStream({
+        generateMessageId: mockId({ prefix: 'message' }),
+      });
 
-      expect(await result.reasoningText).toMatchSnapshot();
+      expect(await convertReadableStreamToArray(uiMessageStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "messageId": "message-0",
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": ", ",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": "world!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ]
+        `);
     });
   });
 
-  describe('result.reasoning', () => {
-    it('should contain reasoning from model response', async () => {
+  describe('result.toUIMessageStreamResponse', () => {
+    it('should create a Response with a data stream', async () => {
       const result = streamText({
-        model: modelWithReasoning,
-        ...defaultSettings(),
+        model: createTestModel(),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
       });
 
-      result.consumeStream();
+      const response = result.toUIMessageStreamResponse();
 
-      expect(await result.reasoning).toMatchSnapshot();
-    });
-  });
+      expect(response.status).toStrictEqual(200);
+      expect(Object.fromEntries(response.headers.entries()))
+        .toMatchInlineSnapshot(`
+          {
+            "cache-control": "no-cache",
+            "connection": "keep-alive",
+            "content-type": "text/event-stream",
+            "x-accel-buffering": "no",
+            "x-vercel-ai-ui-message-stream": "v1",
+          }
+        `);
 
-  describe('result.sources', () => {
-    it('should contain sources', async () => {
-      const result = streamText({
-        model: modelWithSources,
-        ...defaultSettings(),
-      });
+      expect(await convertResponseStreamToArray(response))
+        .toMatchInlineSnapshot(`
+        [
+          "data: {"type":"start"}
 
-      result.consumeStream();
+        ",
+          "data: {"type":"start-step"}
 
-      expect(await result.sources).toMatchSnapshot();
-    });
-  });
+        ",
+          "data: {"type":"text-start","id":"1"}
 
-  describe('result.files', () => {
-    it('should contain files', async () => {
-      const result = streamText({
-        model: modelWithFiles,
-        ...defaultSettings(),
-      });
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"Hello"}
 
-      result.consumeStream();
+        ",
+          "data: {"type":"text-delta","id":"1","delta":", "}
 
-      expect(await result.files).toMatchSnapshot();
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"world!"}
+
+        ",
+          "data: {"type":"text-end","id":"1"}
+
+        ",
+          "data: {"type":"finish-step"}
+
+        ",
+          "data: {"type":"finish"}
+
+        ",
+          "data: [DONE]
+
+        ",
+        ]
+      `);
     });
-  });
 
-  describe('result.steps', () => {
-    it('should add the reasoning from the model response to the step result', async () => {
+    it('should create a Response with a data stream and custom headers', async () => {
       const result = streamText({
-        model: modelWithReasoning,
-        ...defaultSettings(),
+        model: createTestModel(),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
       });
 
-      result.consumeStream();
-
-      expect(await result.steps).toMatchInlineSnapshot(`
-        [
-          DefaultStepResult {
-            "content": [
+      const response = result.toUIMessageStreamResponse({
+        status: 201,
+        statusText: 'foo',
+        headers: {
+          'custom-header': 'custom-value',
+        },
+      });
+
+      expect(response.status).toStrictEqual(201);
+      expect(response.statusText).toStrictEqual('foo');
+      expect(Object.fromEntries(response.headers.entries()))
+        .toMatchInlineSnapshot(`
+          {
+            "cache-control": "no-cache",
+            "connection": "keep-alive",
+            "content-type": "text/event-stream",
+            "custom-header": "custom-value",
+            "x-accel-buffering": "no",
+            "x-vercel-ai-ui-message-stream": "v1",
+          }
+        `);
+      expect(await convertResponseStreamToArray(response))
+        .toMatchInlineSnapshot(`
+        [
+          "data: {"type":"start"}
+
+        ",
+          "data: {"type":"start-step"}
+
+        ",
+          "data: {"type":"text-start","id":"1"}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"Hello"}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":", "}
+
+        ",
+          "data: {"type":"text-delta","id":"1","delta":"world!"}
+
+        ",
+          "data: {"type":"text-end","id":"1"}
+
+        ",
+          "data: {"type":"finish-step"}
+
+        ",
+          "data: {"type":"finish"}
+
+        ",
+          "data: [DONE]
+
+        ",
+        ]
+      `);
+    });
+
+    it('should mask error messages by default', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'error', error: 'error' },
+          ]),
+        }),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
+        onError: () => {},
+      });
+
+      const response = result.toUIMessageStreamResponse();
+
+      expect(await convertResponseStreamToArray(response)).toMatchSnapshot();
+    });
+
+    it('should support custom error messages', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'error', error: 'error' },
+          ]),
+        }),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
+        onError: () => {},
+      });
+
+      const response = result.toUIMessageStreamResponse({
+        onError: error => `custom error message: ${error}`,
+      });
+
+      expect(await convertResponseStreamToArray(response)).toMatchSnapshot();
+    });
+  });
+
+  describe('result.toTextStreamResponse', () => {
+    it('should create a Response with a text stream', async () => {
+      const result = streamText({
+        model: createTestModel(),
+        prompt: 'test-input',
+      });
+
+      const response = result.toTextStreamResponse();
+
+      expect(response.status).toStrictEqual(200);
+      expect(Object.fromEntries(response.headers.entries())).toStrictEqual({
+        'content-type': 'text/plain; charset=utf-8',
+      });
+      expect(await convertResponseStreamToArray(response)).toStrictEqual([
+        'Hello',
+        ', ',
+        'world!',
+      ]);
+    });
+  });
+
+  describe('result.consumeStream', () => {
+    it('should ignore AbortError during stream consumption', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: new ReadableStream({
+            start(controller) {
+              controller.enqueue({ type: 'text-start', id: '1' });
+              controller.enqueue({
+                type: 'text-delta',
+                id: '1',
+                delta: 'Hello',
+              });
+              queueMicrotask(() => {
+                controller.error(
+                  Object.assign(new Error('Stream aborted'), {
+                    name: 'AbortError',
+                  }),
+                );
+              });
+            },
+          }),
+        }),
+        prompt: 'test-input',
+      });
+
+      await expect(result.consumeStream()).resolves.not.toThrow();
+    });
+
+    it('should ignore ResponseAborted error during stream consumption', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: new ReadableStream({
+            start(controller) {
+              controller.enqueue({ type: 'text-start', id: '1' });
+              controller.enqueue({
+                type: 'text-delta',
+                id: '1',
+                delta: 'Hello',
+              });
+              queueMicrotask(() => {
+                controller.error(
+                  Object.assign(new Error('Response aborted'), {
+                    name: 'ResponseAborted',
+                  }),
+                );
+              });
+            },
+          }),
+        }),
+        prompt: 'test-input',
+      });
+
+      await expect(result.consumeStream()).resolves.not.toThrow();
+    });
+
+    it('should ignore any errors during stream consumption', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: new ReadableStream({
+            start(controller) {
+              controller.enqueue({ type: 'text-start', id: '1' });
+              controller.enqueue({
+                type: 'text-delta',
+                id: '1',
+                delta: 'Hello',
+              });
+              queueMicrotask(() => {
+                controller.error(Object.assign(new Error('Some error')));
+              });
+            },
+          }),
+        }),
+        prompt: 'test-input',
+      });
+
+      await expect(result.consumeStream()).resolves.not.toThrow();
+    });
+
+    it('should call the onError callback with the error', async () => {
+      const onErrorCallback = vi.fn();
+      const result = streamText({
+        model: createTestModel({
+          stream: new ReadableStream({
+            start(controller) {
+              controller.enqueue({ type: 'text-start', id: '1' });
+              controller.enqueue({
+                type: 'text-delta',
+                id: '1',
+                delta: 'Hello',
+              });
+              queueMicrotask(() => {
+                controller.error(Object.assign(new Error('Some error')));
+              });
+            },
+          }),
+        }),
+        prompt: 'test-input',
+      });
+
+      await expect(
+        result.consumeStream({ onError: onErrorCallback }),
+      ).resolves.not.toThrow();
+      expect(onErrorCallback).toHaveBeenCalledWith(new Error('Some error'));
+    });
+  });
+
+  describe('multiple stream consumption', () => {
+    it('should support text stream, ai stream, full stream on single result object', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-delta', id: '1', delta: ', ' },
+            { type: 'text-delta', id: '1', delta: 'world!' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+        }),
+        prompt: 'test-input',
+        _internal: {
+          generateId: mockId({ prefix: 'id' }),
+        },
+      });
+
+      expect({
+        textStream: await convertAsyncIterableToArray(result.textStream),
+        fullStream: await convertAsyncIterableToArray(result.fullStream),
+        uiMessageStream: await convertReadableStreamToArray(
+          result.toUIMessageStream(),
+        ),
+      }).toMatchInlineSnapshot(`
+        {
+          "fullStream": [
+            {
+              "type": "start",
+            },
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "Hello",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": ", ",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "world!",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "type": "finish",
+            },
+          ],
+          "textStream": [
+            "Hello",
+            ", ",
+            "world!",
+          ],
+          "uiMessageStream": [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": ", ",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "delta": "world!",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "type": "finish-step",
+            },
+            {
+              "type": "finish",
+            },
+          ],
+        }
+      `);
+    });
+  });
+
+  describe('result.warnings', () => {
+    it('should resolve with warnings', async () => {
+      const result = streamText({
+        model: createTestModel({
+          warnings: [{ type: 'other', message: 'test-warning' }],
+        }),
+        prompt: 'test-input',
+      });
+
+      result.consumeStream();
+
+      expect(await result.warnings).toStrictEqual([
+        { type: 'other', message: 'test-warning' },
+      ]);
+    });
+  });
+
+  describe('result.usage', () => {
+    it('should resolve with token usage', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+        }),
+        prompt: 'test-input',
+      });
+
+      result.consumeStream();
+
+      expect(await result.usage).toMatchInlineSnapshot(`
+        {
+          "cachedInputTokens": undefined,
+          "inputTokens": 3,
+          "outputTokens": 10,
+          "reasoningTokens": undefined,
+          "totalTokens": 13,
+        }
+      `);
+    });
+  });
+
+  describe('result.finishReason', () => {
+    it('should resolve with finish reason', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+        }),
+        prompt: 'test-input',
+      });
+
+      result.consumeStream();
+
+      expect(await result.finishReason).toStrictEqual('stop');
+    });
+  });
+
+  describe('result.providerMetadata', () => {
+    it('should resolve with provider metadata', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+              providerMetadata: {
+                testProvider: { testKey: 'testValue' },
+              },
+            },
+          ]),
+        }),
+        prompt: 'test-input',
+      });
+
+      result.consumeStream();
+
+      expect(await result.providerMetadata).toStrictEqual({
+        testProvider: { testKey: 'testValue' },
+      });
+    });
+  });
+
+  describe('result.response.messages', () => {
+    it('should contain reasoning', async () => {
+      const result = streamText({
+        model: modelWithReasoning,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect((await result.response).messages).toMatchInlineSnapshot(`
+        [
+          {
+            "content": [
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "1234567890",
+                  },
+                },
+                "text": "I will open the conversation with witty banter.",
+                "type": "reasoning",
+              },
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "redactedData": "redacted-reasoning-data",
+                  },
+                },
+                "text": "",
+                "type": "reasoning",
+              },
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "1234567890",
+                  },
+                },
+                "text": " Once the user has relaxed, I will pry for valuable information.",
+                "type": "reasoning",
+              },
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "0987654321",
+                  },
+                },
+                "text": " I need to think about this problem carefully.",
+                "type": "reasoning",
+              },
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "0987654321",
+                  },
+                },
+                "text": " The best solution requires careful consideration of all factors.",
+                "type": "reasoning",
+              },
+              {
+                "providerOptions": undefined,
+                "text": "Hi there!",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+        ]
+      `);
+    });
+  });
+
+  describe('result.request', () => {
+    it('should resolve with response information', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+          request: { body: 'test body' },
+        }),
+        prompt: 'test-input',
+      });
+
+      result.consumeStream();
+
+      expect(await result.request).toStrictEqual({
+        body: 'test body',
+      });
+    });
+  });
+
+  describe('result.response', () => {
+    it('should resolve with response information', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
+            { type: 'text-start', id: '1' },
+            { type: 'text-delta', id: '1', delta: 'Hello' },
+            { type: 'text-end', id: '1' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+          response: { headers: { call: '2' } },
+        }),
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.response).toMatchInlineSnapshot(`
+        {
+          "headers": {
+            "call": "2",
+          },
+          "id": "id-0",
+          "messages": [
+            {
+              "content": [
+                {
+                  "providerOptions": undefined,
+                  "text": "Hello",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          ],
+          "modelId": "mock-model-id",
+          "timestamp": 1970-01-01T00:00:00.000Z,
+        }
+      `);
+    });
+  });
+
+  describe('result.text', () => {
+    it('should resolve with full text', async () => {
+      const result = streamText({
+        model: createTestModel(),
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.text).toMatchSnapshot();
+    });
+  });
+
+  describe('result.reasoningText', () => {
+    it('should contain reasoning text from model response', async () => {
+      const result = streamText({
+        model: modelWithReasoning,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.reasoningText).toMatchSnapshot();
+    });
+  });
+
+  describe('result.reasoning', () => {
+    it('should contain reasoning from model response', async () => {
+      const result = streamText({
+        model: modelWithReasoning,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.reasoning).toMatchSnapshot();
+    });
+  });
+
+  describe('result.sources', () => {
+    it('should contain sources', async () => {
+      const result = streamText({
+        model: modelWithSources,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.sources).toMatchSnapshot();
+    });
+  });
+
+  describe('result.files', () => {
+    it('should contain files', async () => {
+      const result = streamText({
+        model: modelWithFiles,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.files).toMatchSnapshot();
+    });
+  });
+
+  describe('result.steps', () => {
+    it('should add the reasoning from the model response to the step result', async () => {
+      const result = streamText({
+        model: modelWithReasoning,
+        ...defaultSettings(),
+      });
+
+      result.consumeStream();
+
+      expect(await result.steps).toMatchInlineSnapshot(`
+        [
+          DefaultStepResult {
+            "content": [
               {
                 "providerMetadata": {
                   "testProvider": {
                     "signature": "1234567890",
                   },
                 },
-                "text": "I will open the conversation with witty banter. ",
+                "text": "I will open the conversation with witty banter.",
                 "type": "reasoning",
               },
               {
@@ -3218,7 +3784,25 @@ describe('streamText', () => {
                     "signature": "1234567890",
                   },
                 },
-                "text": "Once the user has relaxed, I will pry for valuable information.",
+                "text": " Once the user has relaxed, I will pry for valuable information.",
+                "type": "reasoning",
+              },
+              {
+                "providerMetadata": {
+                  "testProvider": {
+                    "signature": "0987654321",
+                  },
+                },
+                "text": " I need to think about this problem carefully.",
+                "type": "reasoning",
+              },
+              {
+                "providerMetadata": {
+                  "testProvider": {
+                    "signature": "0987654321",
+                  },
+                },
+                "text": " The best solution requires careful consideration of all factors.",
                 "type": "reasoning",
               },
               {
@@ -3242,7 +3826,7 @@ describe('streamText', () => {
                           "signature": "1234567890",
                         },
                       },
-                      "text": "I will open the conversation with witty banter. ",
+                      "text": "I will open the conversation with witty banter.",
                       "type": "reasoning",
                     },
                     {
@@ -3260,11 +3844,29 @@ describe('streamText', () => {
                           "signature": "1234567890",
                         },
                       },
-                      "text": "Once the user has relaxed, I will pry for valuable information.",
+                      "text": " Once the user has relaxed, I will pry for valuable information.",
                       "type": "reasoning",
                     },
                     {
-                      "providerMetadata": undefined,
+                      "providerOptions": {
+                        "testProvider": {
+                          "signature": "0987654321",
+                        },
+                      },
+                      "text": " I need to think about this problem carefully.",
+                      "type": "reasoning",
+                    },
+                    {
+                      "providerOptions": {
+                        "testProvider": {
+                          "signature": "0987654321",
+                        },
+                      },
+                      "text": " The best solution requires careful consideration of all factors.",
+                      "type": "reasoning",
+                    },
+                    {
+                      "providerOptions": undefined,
                       "text": "Hi there!",
                       "type": "text",
                     },
@@ -3340,7 +3942,7 @@ describe('streamText', () => {
                 {
                   "content": [
                     {
-                      "providerMetadata": undefined,
+                      "providerOptions": undefined,
                       "text": "Hello!",
                       "type": "text",
                     },
@@ -3412,16 +4014,18 @@ describe('streamText', () => {
                     {
                       "data": "Hello World",
                       "mediaType": "text/plain",
+                      "providerOptions": undefined,
                       "type": "file",
                     },
                     {
-                      "providerMetadata": undefined,
+                      "providerOptions": undefined,
                       "text": "Hello!",
                       "type": "text",
                     },
                     {
                       "data": "QkFVRw==",
                       "mediaType": "image/jpeg",
+                      "providerOptions": undefined,
                       "type": "file",
                     },
                   ],
@@ -3480,6 +4084,7 @@ describe('streamText', () => {
               "value": "value",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-call",
@@ -3526,6 +4131,7 @@ describe('streamText', () => {
             },
             "output": "value-result",
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "call-1",
             "toolName": "tool1",
             "type": "tool-result",
@@ -3541,8 +4147,8 @@ describe('streamText', () => {
         TextStreamPart<any>,
         {
           type:
-            | 'text'
-            | 'reasoning'
+            | 'text-delta'
+            | 'reasoning-delta'
             | 'source'
             | 'tool-call'
             | 'tool-input-start'
@@ -3617,7 +4223,7 @@ describe('streamText', () => {
             "id": "1",
             "providerMetadata": undefined,
             "text": "Hello",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "2",
@@ -3633,7 +4239,7 @@ describe('streamText', () => {
             "id": "3",
             "providerMetadata": undefined,
             "text": "Feeling clever",
-            "type": "reasoning",
+            "type": "reasoning-delta",
           },
           {
             "delta": "test",
@@ -3662,6 +4268,11 @@ describe('streamText', () => {
               "value": "test",
             },
             "providerExecuted": undefined,
+            "providerMetadata": {
+              "provider": {
+                "custom": "value",
+              },
+            },
             "toolCallId": "2",
             "toolName": "tool1",
             "type": "tool-call",
@@ -3672,6 +4283,11 @@ describe('streamText', () => {
             },
             "output": "test-result",
             "providerExecuted": undefined,
+            "providerMetadata": {
+              "provider": {
+                "custom": "value",
+              },
+            },
             "toolCallId": "2",
             "toolName": "tool1",
             "type": "tool-result",
@@ -3680,7 +4296,7 @@ describe('streamText', () => {
             "id": "4",
             "providerMetadata": undefined,
             "text": " World",
-            "type": "text",
+            "type": "text-delta",
           },
         ]
       `);
@@ -3773,6 +4389,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -3783,6 +4400,7 @@ describe('streamText', () => {
               },
               "output": "value-result",
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-result",
@@ -3807,7 +4425,7 @@ describe('streamText', () => {
               {
                 "content": [
                   {
-                    "providerMetadata": undefined,
+                    "providerOptions": undefined,
                     "text": "Hello, world!",
                     "type": "text",
                   },
@@ -3816,6 +4434,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerOptions": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -3855,6 +4474,7 @@ describe('streamText', () => {
                     "value": "value",
                   },
                   "providerExecuted": undefined,
+                  "providerMetadata": undefined,
                   "toolCallId": "call-1",
                   "toolName": "tool1",
                   "type": "tool-call",
@@ -3865,6 +4485,7 @@ describe('streamText', () => {
                   },
                   "output": "value-result",
                   "providerExecuted": undefined,
+                  "providerMetadata": undefined,
                   "toolCallId": "call-1",
                   "toolName": "tool1",
                   "type": "tool-result",
@@ -3886,7 +4507,7 @@ describe('streamText', () => {
                   {
                     "content": [
                       {
-                        "providerMetadata": undefined,
+                        "providerOptions": undefined,
                         "text": "Hello, world!",
                         "type": "text",
                       },
@@ -3895,6 +4516,7 @@ describe('streamText', () => {
                           "value": "value",
                         },
                         "providerExecuted": undefined,
+                        "providerOptions": undefined,
                         "toolCallId": "call-1",
                         "toolName": "tool1",
                         "type": "tool-call",
@@ -3937,6 +4559,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -3949,6 +4572,7 @@ describe('streamText', () => {
               },
               "output": "value-result",
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-result",
@@ -4034,7 +4658,7 @@ describe('streamText', () => {
               {
                 "content": [
                   {
-                    "providerMetadata": undefined,
+                    "providerOptions": undefined,
                     "text": "Hello!",
                     "type": "text",
                   },
@@ -4114,7 +4738,7 @@ describe('streamText', () => {
                   {
                     "content": [
                       {
-                        "providerMetadata": undefined,
+                        "providerOptions": undefined,
                         "text": "Hello!",
                         "type": "text",
                       },
@@ -4227,16 +4851,18 @@ describe('streamText', () => {
                   {
                     "data": "Hello World",
                     "mediaType": "text/plain",
+                    "providerOptions": undefined,
                     "type": "file",
                   },
                   {
-                    "providerMetadata": undefined,
+                    "providerOptions": undefined,
                     "text": "Hello!",
                     "type": "text",
                   },
                   {
                     "data": "QkFVRw==",
                     "mediaType": "image/jpeg",
+                    "providerOptions": undefined,
                     "type": "file",
                   },
                 ],
@@ -4286,16 +4912,18 @@ describe('streamText', () => {
                       {
                         "data": "Hello World",
                         "mediaType": "text/plain",
+                        "providerOptions": undefined,
                         "type": "file",
                       },
                       {
-                        "providerMetadata": undefined,
+                        "providerOptions": undefined,
                         "text": "Hello!",
                         "type": "text",
                       },
                       {
                         "data": "QkFVRw==",
                         "mediaType": "image/jpeg",
+                        "providerOptions": undefined,
                         "type": "file",
                       },
                     ],
@@ -4389,7 +5017,7 @@ describe('streamText', () => {
           {
             "content": [
               {
-                "providerMetadata": undefined,
+                "providerOptions": undefined,
                 "text": "Hello, world!",
                 "type": "text",
               },
@@ -4437,7 +5065,7 @@ describe('streamText', () => {
           {
             "content": [
               {
-                "providerMetadata": undefined,
+                "providerOptions": undefined,
                 "text": "Hello, world!",
                 "type": "text",
               },
@@ -4446,6 +5074,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerOptions": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -4617,6 +5246,7 @@ describe('streamText', () => {
                     "type": "object",
                   },
                   "name": "tool1",
+                  "providerOptions": undefined,
                   "type": "function",
                 },
               ],
@@ -4691,6 +5321,7 @@ describe('streamText', () => {
                     "type": "object",
                   },
                   "name": "tool1",
+                  "providerOptions": undefined,
                   "type": "function",
                 },
               ],
@@ -4719,7 +5350,7 @@ describe('streamText', () => {
                 "id": "0",
                 "providerMetadata": undefined,
                 "text": "thinking",
-                "type": "reasoning",
+                "type": "reasoning-delta",
               },
               {
                 "id": "0",
@@ -4730,6 +5361,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -4740,6 +5372,7 @@ describe('streamText', () => {
                 },
                 "output": "result1",
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-result",
@@ -4777,13 +5410,13 @@ describe('streamText', () => {
                 "id": "1",
                 "providerMetadata": undefined,
                 "text": "Hello, ",
-                "type": "text",
+                "type": "text-delta",
               },
               {
                 "id": "1",
                 "providerMetadata": undefined,
                 "text": "world!",
-                "type": "text",
+                "type": "text-delta",
               },
               {
                 "id": "1",
@@ -4863,6 +5496,7 @@ describe('streamText', () => {
                           "value": "value",
                         },
                         "providerExecuted": undefined,
+                        "providerOptions": undefined,
                         "toolCallId": "call-1",
                         "toolName": "tool1",
                         "type": "tool-call",
@@ -4887,7 +5521,7 @@ describe('streamText', () => {
                   {
                     "content": [
                       {
-                        "providerMetadata": undefined,
+                        "providerOptions": undefined,
                         "text": "Hello, world!",
                         "type": "text",
                       },
@@ -4912,6 +5546,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -4922,6 +5557,7 @@ describe('streamText', () => {
                       },
                       "output": "result1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -4948,6 +5584,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -5011,6 +5648,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -5035,7 +5673,7 @@ describe('streamText', () => {
                       {
                         "content": [
                           {
-                            "providerMetadata": undefined,
+                            "providerOptions": undefined,
                             "text": "Hello, world!",
                             "type": "text",
                           },
@@ -5093,6 +5731,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -5103,6 +5742,7 @@ describe('streamText', () => {
                     },
                     "output": "result1",
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-result",
@@ -5129,6 +5769,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -5192,6 +5833,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -5216,7 +5858,7 @@ describe('streamText', () => {
                     {
                       "content": [
                         {
-                          "providerMetadata": undefined,
+                          "providerOptions": undefined,
                           "text": "Hello, world!",
                           "type": "text",
                         },
@@ -5293,6 +5935,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -5303,6 +5946,7 @@ describe('streamText', () => {
                     },
                     "output": "result1",
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-result",
@@ -5329,6 +5973,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -5392,6 +6037,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -5416,7 +6062,7 @@ describe('streamText', () => {
                     {
                       "content": [
                         {
-                          "providerMetadata": undefined,
+                          "providerOptions": undefined,
                           "text": "Hello, world!",
                           "type": "text",
                         },
@@ -5455,6 +6101,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerOptions": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -5479,7 +6126,7 @@ describe('streamText', () => {
               {
                 "content": [
                   {
-                    "providerMetadata": undefined,
+                    "providerOptions": undefined,
                     "text": "Hello, world!",
                     "type": "text",
                   },
@@ -5501,8 +6148,6 @@ describe('streamText', () => {
           .toMatchInlineSnapshot(`
             [
               {
-                "messageId": undefined,
-                "messageMetadata": undefined,
                 "type": "start",
               },
               {
@@ -5510,18 +6155,15 @@ describe('streamText', () => {
               },
               {
                 "id": "0",
-                "providerMetadata": undefined,
                 "type": "reasoning-start",
               },
               {
                 "delta": "thinking",
                 "id": "0",
-                "providerMetadata": undefined,
                 "type": "reasoning-delta",
               },
               {
                 "id": "0",
-                "providerMetadata": undefined,
                 "type": "reasoning-end",
               },
               {
@@ -5529,6 +6171,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-input-available",
@@ -5567,7 +6210,6 @@ describe('streamText', () => {
                 "type": "finish-step",
               },
               {
-                "messageMetadata": undefined,
                 "type": "finish",
               },
             ]
@@ -5581,6 +6223,7 @@ describe('streamText', () => {
       let prepareStepCalls: Array<{
         stepNumber: number;
         steps: Array<StepResult<any>>;
+        messages: Array<ModelMessage>;
       }>;
 
       beforeEach(async () => {
@@ -5651,8 +6294,8 @@ describe('streamText', () => {
           },
           prompt: 'test-input',
           stopWhen: stepCountIs(3),
-          prepareStep: async ({ model, stepNumber, steps }) => {
-            prepareStepCalls.push({ stepNumber, steps });
+          prepareStep: async ({ model, stepNumber, steps, messages }) => {
+            prepareStepCalls.push({ stepNumber, steps, messages });
 
             if (stepNumber === 0) {
               return {
@@ -5661,6 +6304,12 @@ describe('streamText', () => {
                   toolName: 'tool1' as const,
                 },
                 system: 'system-message-0',
+                messages: [
+                  {
+                    role: 'user',
+                    content: 'new input from prepareStep',
+                  },
+                ],
               };
             }
 
@@ -5693,7 +6342,7 @@ describe('streamText', () => {
                 {
                   "content": [
                     {
-                      "text": "test-input",
+                      "text": "new input from prepareStep",
                       "type": "text",
                     },
                   ],
@@ -5727,6 +6376,7 @@ describe('streamText', () => {
                     "type": "object",
                   },
                   "name": "tool1",
+                  "providerOptions": undefined,
                   "type": "function",
                 },
               ],
@@ -5809,6 +6459,12 @@ describe('streamText', () => {
         expect(prepareStepCalls).toMatchInlineSnapshot(`
           [
             {
+              "messages": [
+                {
+                  "content": "test-input",
+                  "role": "user",
+                },
+              ],
               "stepNumber": 0,
               "steps": [
                 DefaultStepResult {
@@ -5818,6 +6474,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -5828,6 +6485,7 @@ describe('streamText', () => {
                       },
                       "output": "result1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -5849,6 +6507,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -5907,6 +6566,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -5931,29 +6591,64 @@ describe('streamText', () => {
                       {
                         "content": [
                           {
-                            "providerMetadata": undefined,
+                            "providerOptions": undefined,
                             "text": "Hello, world!",
                             "type": "text",
                           },
                         ],
                         "role": "assistant",
                       },
-                    ],
-                    "modelId": "mock-model-id",
-                    "timestamp": 1970-01-01T00:00:01.000Z,
-                  },
-                  "usage": {
-                    "cachedInputTokens": 3,
-                    "inputTokens": 3,
-                    "outputTokens": 10,
-                    "reasoningTokens": 10,
-                    "totalTokens": 23,
-                  },
-                  "warnings": [],
+                    ],
+                    "modelId": "mock-model-id",
+                    "timestamp": 1970-01-01T00:00:01.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": 3,
+                    "inputTokens": 3,
+                    "outputTokens": 10,
+                    "reasoningTokens": 10,
+                    "totalTokens": 23,
+                  },
+                  "warnings": [],
+                },
+              ],
+            },
+            {
+              "messages": [
+                {
+                  "content": "test-input",
+                  "role": "user",
+                },
+                {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                  ],
+                  "role": "assistant",
+                },
+                {
+                  "content": [
+                    {
+                      "output": {
+                        "type": "text",
+                        "value": "result1",
+                      },
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "role": "tool",
                 },
               ],
-            },
-            {
               "stepNumber": 1,
               "steps": [
                 DefaultStepResult {
@@ -5963,6 +6658,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -5973,6 +6669,7 @@ describe('streamText', () => {
                       },
                       "output": "result1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -5994,6 +6691,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -6052,6 +6750,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -6076,7 +6775,7 @@ describe('streamText', () => {
                       {
                         "content": [
                           {
-                            "providerMetadata": undefined,
+                            "providerOptions": undefined,
                             "text": "Hello, world!",
                             "type": "text",
                           },
@@ -6236,7 +6935,7 @@ describe('streamText', () => {
                 "id": "id-0",
                 "providerMetadata": undefined,
                 "text": "thinking",
-                "type": "reasoning",
+                "type": "reasoning-delta",
               },
               {
                 "id": "id-0",
@@ -6247,6 +6946,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -6257,6 +6957,7 @@ describe('streamText', () => {
                 },
                 "output": "RESULT1",
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-result",
@@ -6294,13 +6995,13 @@ describe('streamText', () => {
                 "id": "1",
                 "providerMetadata": undefined,
                 "text": "Hello, ",
-                "type": "text",
+                "type": "text-delta",
               },
               {
                 "id": "1",
                 "providerMetadata": undefined,
                 "text": "world!",
-                "type": "text",
+                "type": "text-delta",
               },
               {
                 "id": "1",
@@ -6380,6 +7081,7 @@ describe('streamText', () => {
                           "value": "value",
                         },
                         "providerExecuted": undefined,
+                        "providerOptions": undefined,
                         "toolCallId": "call-1",
                         "toolName": "tool1",
                         "type": "tool-call",
@@ -6404,7 +7106,7 @@ describe('streamText', () => {
                   {
                     "content": [
                       {
-                        "providerMetadata": undefined,
+                        "providerOptions": undefined,
                         "text": "Hello, world!",
                         "type": "text",
                       },
@@ -6429,6 +7131,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -6439,6 +7142,7 @@ describe('streamText', () => {
                       },
                       "output": "RESULT1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -6465,6 +7169,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -6528,6 +7233,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -6552,7 +7258,7 @@ describe('streamText', () => {
                       {
                         "content": [
                           {
-                            "providerMetadata": undefined,
+                            "providerOptions": undefined,
                             "text": "Hello, world!",
                             "type": "text",
                           },
@@ -6610,6 +7316,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -6620,6 +7327,7 @@ describe('streamText', () => {
                     },
                     "output": "RESULT1",
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-result",
@@ -6646,6 +7354,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -6709,6 +7418,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -6733,7 +7443,7 @@ describe('streamText', () => {
                     {
                       "content": [
                         {
-                          "providerMetadata": undefined,
+                          "providerOptions": undefined,
                           "text": "Hello, world!",
                           "type": "text",
                         },
@@ -6810,6 +7520,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -6820,6 +7531,7 @@ describe('streamText', () => {
                     },
                     "output": "RESULT1",
                     "providerExecuted": undefined,
+                    "providerMetadata": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-result",
@@ -6846,6 +7558,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -6909,6 +7622,7 @@ describe('streamText', () => {
                             "value": "value",
                           },
                           "providerExecuted": undefined,
+                          "providerOptions": undefined,
                           "toolCallId": "call-1",
                           "toolName": "tool1",
                           "type": "tool-call",
@@ -6933,7 +7647,7 @@ describe('streamText', () => {
                     {
                       "content": [
                         {
-                          "providerMetadata": undefined,
+                          "providerOptions": undefined,
                           "text": "Hello, world!",
                           "type": "text",
                         },
@@ -6972,6 +7686,7 @@ describe('streamText', () => {
                       "value": "value",
                     },
                     "providerExecuted": undefined,
+                    "providerOptions": undefined,
                     "toolCallId": "call-1",
                     "toolName": "tool1",
                     "type": "tool-call",
@@ -6996,7 +7711,7 @@ describe('streamText', () => {
               {
                 "content": [
                   {
-                    "providerMetadata": undefined,
+                    "providerOptions": undefined,
                     "text": "Hello, world!",
                     "type": "text",
                   },
@@ -7149,8 +7864,6 @@ describe('streamText', () => {
           .toMatchInlineSnapshot(`
             [
               {
-                "messageId": undefined,
-                "messageMetadata": undefined,
                 "type": "start",
               },
               {
@@ -7158,18 +7871,15 @@ describe('streamText', () => {
               },
               {
                 "id": "id-0",
-                "providerMetadata": undefined,
                 "type": "reasoning-start",
               },
               {
                 "delta": "thinking",
                 "id": "id-0",
-                "providerMetadata": undefined,
                 "type": "reasoning-delta",
               },
               {
                 "id": "id-0",
-                "providerMetadata": undefined,
                 "type": "reasoning-end",
               },
               {
@@ -7177,6 +7887,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-input-available",
@@ -7215,7 +7926,6 @@ describe('streamText', () => {
                 "type": "finish-step",
               },
               {
-                "messageMetadata": undefined,
                 "type": "finish",
               },
             ]
@@ -7330,6 +8040,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -7340,6 +8051,7 @@ describe('streamText', () => {
                       },
                       "output": "result1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -7366,6 +8078,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -7417,6 +8130,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -7427,6 +8141,7 @@ describe('streamText', () => {
                       },
                       "output": "result1",
                       "providerExecuted": undefined,
+                      "providerMetadata": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-result",
@@ -7453,6 +8168,7 @@ describe('streamText', () => {
                               "value": "value",
                             },
                             "providerExecuted": undefined,
+                            "providerOptions": undefined,
                             "toolCallId": "call-1",
                             "toolName": "tool1",
                             "type": "tool-call",
@@ -7619,6 +8335,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": true,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "web_search",
               "type": "tool-call",
@@ -7638,6 +8355,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": true,
+              "providerMetadata": undefined,
               "toolCallId": "call-2",
               "toolName": "web_search",
               "type": "tool-call",
@@ -7659,99 +8377,101 @@ describe('streamText', () => {
       it('should include provider-executed tool call and result in the full stream', async () => {
         expect(await convertAsyncIterableToArray(result.fullStream))
           .toMatchInlineSnapshot(`
-          [
-            {
-              "type": "start",
-            },
-            {
-              "request": {},
-              "type": "start-step",
-              "warnings": [],
-            },
-            {
-              "id": "call-1",
-              "providerExecuted": true,
-              "toolName": "web_search",
-              "type": "tool-input-start",
-            },
-            {
-              "delta": "{ "value": "value" }",
-              "id": "call-1",
-              "type": "tool-input-delta",
-            },
-            {
-              "id": "call-1",
-              "type": "tool-input-end",
-            },
-            {
-              "input": {
-                "value": "value",
+            [
+              {
+                "type": "start",
               },
-              "providerExecuted": true,
-              "toolCallId": "call-1",
-              "toolName": "web_search",
-              "type": "tool-call",
-            },
-            {
-              "input": {
-                "value": "value",
+              {
+                "request": {},
+                "type": "start-step",
+                "warnings": [],
               },
-              "output": "{ "value": "result1" }",
-              "providerExecuted": true,
-              "toolCallId": "call-1",
-              "toolName": "web_search",
-              "type": "tool-result",
-            },
-            {
-              "input": {
-                "value": "value",
+              {
+                "id": "call-1",
+                "providerExecuted": true,
+                "toolName": "web_search",
+                "type": "tool-input-start",
               },
-              "providerExecuted": true,
-              "toolCallId": "call-2",
-              "toolName": "web_search",
-              "type": "tool-call",
-            },
-            {
-              "error": "ERROR",
-              "input": {
-                "value": "value",
+              {
+                "delta": "{ "value": "value" }",
+                "id": "call-1",
+                "type": "tool-input-delta",
               },
-              "providerExecuted": true,
-              "toolCallId": "call-2",
-              "toolName": "web_search",
-              "type": "tool-error",
-            },
-            {
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "response": {
-                "headers": undefined,
-                "id": "id-0",
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:00.000Z,
+              {
+                "id": "call-1",
+                "type": "tool-input-end",
               },
-              "type": "finish-step",
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
+              {
+                "input": {
+                  "value": "value",
+                },
+                "providerExecuted": true,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "web_search",
+                "type": "tool-call",
               },
-            },
-            {
-              "finishReason": "stop",
-              "totalUsage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
+              {
+                "input": {
+                  "value": "value",
+                },
+                "output": "{ "value": "result1" }",
+                "providerExecuted": true,
+                "toolCallId": "call-1",
+                "toolName": "web_search",
+                "type": "tool-result",
               },
-              "type": "finish",
-            },
-          ]
-        `);
+              {
+                "input": {
+                  "value": "value",
+                },
+                "providerExecuted": true,
+                "providerMetadata": undefined,
+                "toolCallId": "call-2",
+                "toolName": "web_search",
+                "type": "tool-call",
+              },
+              {
+                "error": "ERROR",
+                "input": {
+                  "value": "value",
+                },
+                "providerExecuted": true,
+                "toolCallId": "call-2",
+                "toolName": "web_search",
+                "type": "tool-error",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": undefined,
+                "response": {
+                  "headers": undefined,
+                  "id": "id-0",
+                  "modelId": "mock-model-id",
+                  "timestamp": 1970-01-01T00:00:00.000Z,
+                },
+                "type": "finish-step",
+                "usage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
+                },
+              },
+              {
+                "finishReason": "stop",
+                "totalUsage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
+                },
+                "type": "finish",
+              },
+            ]
+          `);
       });
 
       it('should include provider-executed tool call and result in the ui message stream', async () => {
@@ -7759,8 +8479,6 @@ describe('streamText', () => {
           .toMatchInlineSnapshot(`
             [
               {
-                "messageId": undefined,
-                "messageMetadata": undefined,
                 "type": "start",
               },
               {
@@ -7782,6 +8500,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": true,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "web_search",
                 "type": "tool-input-available",
@@ -7797,6 +8516,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": true,
+                "providerMetadata": undefined,
                 "toolCallId": "call-2",
                 "toolName": "web_search",
                 "type": "tool-input-available",
@@ -7811,7 +8531,6 @@ describe('streamText', () => {
                 "type": "finish-step",
               },
               {
-                "messageMetadata": undefined,
                 "type": "finish",
               },
             ]
@@ -7948,8 +8667,47 @@ describe('streamText', () => {
             test1: 'value1',
             test2: false,
           },
-          tracer,
+          tracer,
+        },
+        _internal: { now: mockValues(0, 100, 500) },
+      });
+
+      await result.consumeStream();
+
+      expect(tracer.jsonSpans).toMatchSnapshot();
+    });
+
+    it('should record successful tool call', async () => {
+      const result = streamText({
+        model: createTestModel({
+          stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
+            {
+              type: 'tool-call',
+              toolCallId: 'call-1',
+              toolName: 'tool1',
+              input: `{ "value": "value" }`,
+            },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              usage: testUsage,
+            },
+          ]),
+        }),
+        tools: {
+          tool1: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async ({ value }) => `${value}-result`,
+          },
         },
+        prompt: 'test-input',
+        experimental_telemetry: { isEnabled: true, tracer },
         _internal: { now: mockValues(0, 100, 500) },
       });
 
@@ -7958,7 +8716,7 @@ describe('streamText', () => {
       expect(tracer.jsonSpans).toMatchSnapshot();
     });
 
-    it('should record successful tool call', async () => {
+    it('should record error on tool call', async () => {
       const result = streamText({
         model: createTestModel({
           stream: convertArrayToReadableStream([
@@ -7984,7 +8742,9 @@ describe('streamText', () => {
         tools: {
           tool1: {
             inputSchema: z.object({ value: z.string() }),
-            execute: async ({ value }) => `${value}-result`,
+            execute: async () => {
+              throw new Error('Tool execution failed');
+            },
           },
         },
         prompt: 'test-input',
@@ -7994,7 +8754,32 @@ describe('streamText', () => {
 
       await result.consumeStream();
 
-      expect(tracer.jsonSpans).toMatchSnapshot();
+      expect(tracer.jsonSpans).toHaveLength(3);
+
+      // Check that we have the expected spans
+      expect(tracer.jsonSpans[0].name).toBe('ai.streamText');
+      expect(tracer.jsonSpans[1].name).toBe('ai.streamText.doStream');
+      expect(tracer.jsonSpans[2].name).toBe('ai.toolCall');
+
+      // Check that the tool call span has error status
+      const toolCallSpan = tracer.jsonSpans[2];
+      expect(toolCallSpan.status).toEqual({
+        code: 2,
+        message: 'Tool execution failed',
+      });
+
+      // Check that the tool call span has exception event
+      expect(toolCallSpan.events).toHaveLength(1);
+      const exceptionEvent = toolCallSpan.events[0];
+      expect(exceptionEvent.name).toBe('exception');
+      expect(exceptionEvent.attributes).toMatchObject({
+        'exception.message': 'Tool execution failed',
+        'exception.name': 'Error',
+      });
+      expect(exceptionEvent.attributes?.['exception.stack']).toContain(
+        'Tool execution failed',
+      );
+      expect(exceptionEvent.time).toEqual([0, 0]);
     });
 
     it('should not record telemetry inputs / outputs when disabled', async () => {
@@ -8290,6 +9075,7 @@ describe('streamText', () => {
                   required: ['value'],
                   type: 'object',
                 },
+                providerOptions: undefined,
               },
             ]);
             expect(toolChoice).toStrictEqual({ type: 'required' });
@@ -8450,6 +9236,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -8460,6 +9247,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-error",
@@ -8509,6 +9297,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -8519,6 +9308,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerMetadata": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-error",
@@ -8538,6 +9328,7 @@ describe('streamText', () => {
                         "value": "value",
                       },
                       "providerExecuted": undefined,
+                      "providerOptions": undefined,
                       "toolCallId": "call-1",
                       "toolName": "tool1",
                       "type": "tool-call",
@@ -8588,6 +9379,7 @@ describe('streamText', () => {
                   "value": "value",
                 },
                 "providerExecuted": undefined,
+                "providerOptions": undefined,
                 "toolCallId": "call-1",
                 "toolName": "tool1",
                 "type": "tool-call",
@@ -8618,8 +9410,6 @@ describe('streamText', () => {
         .toMatchInlineSnapshot(`
           [
             {
-              "messageId": undefined,
-              "messageMetadata": undefined,
               "type": "start",
             },
             {
@@ -8630,6 +9420,7 @@ describe('streamText', () => {
                 "value": "value",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-input-available",
@@ -8644,7 +9435,6 @@ describe('streamText', () => {
               "type": "finish-step",
             },
             {
-              "messageMetadata": undefined,
               "type": "finish",
             },
           ]
@@ -8660,7 +9450,10 @@ describe('streamText', () => {
           TextStreamPart<{ tool1: Tool<{ value: string }> }>
         >({
           transform(chunk, controller) {
-            if (chunk.type === 'text' || chunk.type === 'reasoning') {
+            if (
+              chunk.type === 'text-delta' ||
+              chunk.type === 'reasoning-delta'
+            ) {
               chunk.text = chunk.text.toUpperCase();
             }
 
@@ -8747,7 +9540,7 @@ describe('streamText', () => {
               role: 'assistant',
               content: [
                 {
-                  providerMetadata: undefined,
+                  providerOptions: undefined,
                   text: 'HELLO, WORLD!',
                   type: 'text',
                 },
@@ -8871,6 +9664,7 @@ describe('streamText', () => {
                 "value": "VALUE",
               },
               "providerExecuted": undefined,
+              "providerMetadata": undefined,
               "toolCallId": "call-1",
               "toolName": "tool1",
               "type": "tool-call",
@@ -8910,26 +9704,232 @@ describe('streamText', () => {
           prompt: 'test-input',
         });
 
-        await result.consumeStream();
+        await result.consumeStream();
+
+        expect(await result.toolResults).toMatchInlineSnapshot(`
+          [
+            {
+              "input": {
+                "value": "VALUE",
+              },
+              "output": "RESULT1",
+              "providerExecuted": undefined,
+              "providerMetadata": undefined,
+              "toolCallId": "call-1",
+              "toolName": "tool1",
+              "type": "tool-result",
+            },
+          ]
+        `);
+      });
+
+      it('result.steps should be transformed', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'Hello, ' },
+              { type: 'text-delta', id: '1', delta: 'world!' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'tool-call',
+                toolCallId: 'call-1',
+                toolName: 'tool1',
+                input: `{ "value": "value" }`,
+              },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+              },
+            ]),
+          }),
+          tools: {
+            tool1: {
+              inputSchema: z.object({ value: z.string() }),
+              execute: async () => 'result1',
+            },
+          },
+          experimental_transform: upperCaseTransform,
+          prompt: 'test-input',
+        });
+
+        result.consumeStream();
+
+        expect(await result.steps).toMatchInlineSnapshot(`
+          [
+            DefaultStepResult {
+              "content": [
+                {
+                  "providerMetadata": undefined,
+                  "text": "HELLO, WORLD!",
+                  "type": "text",
+                },
+                {
+                  "input": {
+                    "value": "VALUE",
+                  },
+                  "providerExecuted": undefined,
+                  "providerMetadata": undefined,
+                  "toolCallId": "call-1",
+                  "toolName": "tool1",
+                  "type": "tool-call",
+                },
+                {
+                  "input": {
+                    "value": "VALUE",
+                  },
+                  "output": "RESULT1",
+                  "providerExecuted": undefined,
+                  "providerMetadata": undefined,
+                  "toolCallId": "call-1",
+                  "toolName": "tool1",
+                  "type": "tool-result",
+                },
+              ],
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "request": {},
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "messages": [
+                  {
+                    "content": [
+                      {
+                        "providerOptions": undefined,
+                        "text": "HELLO, WORLD!",
+                        "type": "text",
+                      },
+                      {
+                        "input": {
+                          "value": "VALUE",
+                        },
+                        "providerExecuted": undefined,
+                        "providerOptions": undefined,
+                        "toolCallId": "call-1",
+                        "toolName": "tool1",
+                        "type": "tool-call",
+                      },
+                    ],
+                    "role": "assistant",
+                  },
+                  {
+                    "content": [
+                      {
+                        "output": {
+                          "type": "text",
+                          "value": "RESULT1",
+                        },
+                        "toolCallId": "call-1",
+                        "toolName": "tool1",
+                        "type": "tool-result",
+                      },
+                    ],
+                    "role": "tool",
+                  },
+                ],
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "warnings": [],
+            },
+          ]
+        `);
+      });
+
+      it('result.request should be transformed', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+              },
+            ]),
+            request: { body: 'test body' },
+          }),
+          prompt: 'test-input',
+          experimental_transform: upperCaseTransform,
+        });
+
+        result.consumeStream();
+
+        expect(await result.request).toStrictEqual({
+          body: 'TEST BODY',
+        });
+      });
+
+      it('result.providerMetadata should be transformed', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+                providerMetadata: {
+                  testProvider: {
+                    testKey: 'testValue',
+                  },
+                },
+              },
+            ]),
+            request: { body: 'test body' },
+          }),
+          prompt: 'test-input',
+          experimental_transform: upperCaseTransform,
+        });
+
+        result.consumeStream();
 
-        expect(await result.toolResults).toMatchInlineSnapshot(`
-          [
-            {
-              "input": {
-                "value": "VALUE",
-              },
-              "output": "RESULT1",
-              "providerExecuted": undefined,
-              "toolCallId": "call-1",
-              "toolName": "tool1",
-              "type": "tool-result",
+        expect(JSON.stringify(await result.providerMetadata)).toStrictEqual(
+          JSON.stringify({
+            testProvider: {
+              testKey: 'TEST VALUE',
             },
-          ]
-        `);
+          }),
+        );
       });
 
-      it('result.steps should be transformed', async () => {
-        const result = streamText({
+      it('options.onFinish should receive transformed data', async () => {
+        let result!: Parameters<
+          Required<Parameters<typeof streamText>[0]>['onFinish']
+        >[0];
+
+        const resultObject = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
               {
@@ -8939,122 +9939,269 @@ describe('streamText', () => {
                 timestamp: new Date(0),
               },
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello, ' },
-              { type: 'text-delta', id: '1', delta: 'world!' },
-              { type: 'text-end', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-delta', id: '1', delta: ', ' },
               {
                 type: 'tool-call',
                 toolCallId: 'call-1',
                 toolName: 'tool1',
                 input: `{ "value": "value" }`,
               },
+              { type: 'text-delta', id: '1', delta: 'world!' },
+              { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
+                providerMetadata: {
+                  testProvider: { testKey: 'testValue' },
+                },
               },
             ]),
+            response: { headers: { call: '2' } },
           }),
           tools: {
             tool1: {
               inputSchema: z.object({ value: z.string() }),
-              execute: async () => 'result1',
+              execute: async ({ value }) => `${value}-result`,
             },
           },
-          experimental_transform: upperCaseTransform,
           prompt: 'test-input',
+          onFinish: async event => {
+            result = event as unknown as typeof result;
+          },
+          experimental_transform: upperCaseTransform,
         });
 
-        result.consumeStream();
+        await resultObject.consumeStream();
 
-        expect(await result.steps).toMatchInlineSnapshot(`
-          [
-            DefaultStepResult {
-              "content": [
-                {
-                  "providerMetadata": undefined,
-                  "text": "HELLO, WORLD!",
-                  "type": "text",
+        expect(result).toMatchInlineSnapshot(`
+          {
+            "content": [
+              {
+                "providerMetadata": undefined,
+                "text": "HELLO, WORLD!",
+                "type": "text",
+              },
+              {
+                "input": {
+                  "value": "VALUE",
+                },
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-call",
+              },
+              {
+                "input": {
+                  "value": "VALUE",
                 },
+                "output": "VALUE-RESULT",
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-result",
+              },
+            ],
+            "files": [],
+            "finishReason": "stop",
+            "providerMetadata": {
+              "testProvider": {
+                "testKey": "TEST VALUE",
+              },
+            },
+            "reasoning": [],
+            "reasoningText": undefined,
+            "request": {},
+            "response": {
+              "headers": {
+                "call": "2",
+              },
+              "id": "id-0",
+              "messages": [
                 {
-                  "input": {
-                    "value": "VALUE",
-                  },
-                  "providerExecuted": undefined,
-                  "toolCallId": "call-1",
-                  "toolName": "tool1",
-                  "type": "tool-call",
+                  "content": [
+                    {
+                      "providerOptions": undefined,
+                      "text": "HELLO, WORLD!",
+                      "type": "text",
+                    },
+                    {
+                      "input": {
+                        "value": "VALUE",
+                      },
+                      "providerExecuted": undefined,
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                  ],
+                  "role": "assistant",
                 },
                 {
-                  "input": {
-                    "value": "VALUE",
-                  },
-                  "output": "RESULT1",
-                  "providerExecuted": undefined,
-                  "toolCallId": "call-1",
-                  "toolName": "tool1",
-                  "type": "tool-result",
+                  "content": [
+                    {
+                      "output": {
+                        "type": "text",
+                        "value": "VALUE-RESULT",
+                      },
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "role": "tool",
                 },
               ],
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "request": {},
-              "response": {
-                "headers": undefined,
-                "id": "id-0",
-                "messages": [
+              "modelId": "mock-model-id",
+              "timestamp": 1970-01-01T00:00:00.000Z,
+            },
+            "sources": [],
+            "steps": [
+              DefaultStepResult {
+                "content": [
                   {
-                    "content": [
-                      {
-                        "providerMetadata": undefined,
-                        "text": "HELLO, WORLD!",
-                        "type": "text",
-                      },
-                      {
-                        "input": {
-                          "value": "VALUE",
-                        },
-                        "providerExecuted": undefined,
-                        "toolCallId": "call-1",
-                        "toolName": "tool1",
-                        "type": "tool-call",
-                      },
-                    ],
-                    "role": "assistant",
+                    "providerMetadata": undefined,
+                    "text": "HELLO, WORLD!",
+                    "type": "text",
                   },
                   {
-                    "content": [
-                      {
-                        "output": {
-                          "type": "text",
-                          "value": "RESULT1",
-                        },
-                        "toolCallId": "call-1",
-                        "toolName": "tool1",
-                        "type": "tool-result",
-                      },
-                    ],
-                    "role": "tool",
+                    "input": {
+                      "value": "VALUE",
+                    },
+                    "providerExecuted": undefined,
+                    "providerMetadata": undefined,
+                    "toolCallId": "call-1",
+                    "toolName": "tool1",
+                    "type": "tool-call",
+                  },
+                  {
+                    "input": {
+                      "value": "VALUE",
+                    },
+                    "output": "VALUE-RESULT",
+                    "providerExecuted": undefined,
+                    "providerMetadata": undefined,
+                    "toolCallId": "call-1",
+                    "toolName": "tool1",
+                    "type": "tool-result",
                   },
                 ],
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:00.000Z,
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "testProvider": {
+                    "testKey": "TEST VALUE",
+                  },
+                },
+                "request": {},
+                "response": {
+                  "headers": {
+                    "call": "2",
+                  },
+                  "id": "id-0",
+                  "messages": [
+                    {
+                      "content": [
+                        {
+                          "providerOptions": undefined,
+                          "text": "HELLO, WORLD!",
+                          "type": "text",
+                        },
+                        {
+                          "input": {
+                            "value": "VALUE",
+                          },
+                          "providerExecuted": undefined,
+                          "providerOptions": undefined,
+                          "toolCallId": "call-1",
+                          "toolName": "tool1",
+                          "type": "tool-call",
+                        },
+                      ],
+                      "role": "assistant",
+                    },
+                    {
+                      "content": [
+                        {
+                          "output": {
+                            "type": "text",
+                            "value": "VALUE-RESULT",
+                          },
+                          "toolCallId": "call-1",
+                          "toolName": "tool1",
+                          "type": "tool-result",
+                        },
+                      ],
+                      "role": "tool",
+                    },
+                  ],
+                  "modelId": "mock-model-id",
+                  "timestamp": 1970-01-01T00:00:00.000Z,
+                },
+                "usage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
+                },
+                "warnings": [],
               },
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
+            ],
+            "text": "HELLO, WORLD!",
+            "toolCalls": [
+              {
+                "input": {
+                  "value": "VALUE",
+                },
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-call",
               },
-              "warnings": [],
+            ],
+            "toolResults": [
+              {
+                "input": {
+                  "value": "VALUE",
+                },
+                "output": "VALUE-RESULT",
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-result",
+              },
+            ],
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 3,
+              "outputTokens": 10,
+              "reasoningTokens": undefined,
+              "totalTokens": 13,
             },
-          ]
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 3,
+              "outputTokens": 10,
+              "reasoningTokens": undefined,
+              "totalTokens": 13,
+            },
+            "warnings": [],
+          }
         `);
       });
 
-      it('result.request should be transformed', async () => {
-        const result = streamText({
+      it('options.onStepFinish should receive transformed data', async () => {
+        let result!: Parameters<
+          Required<Parameters<typeof streamText>[0]>['onStepFinish']
+        >[0];
+
+        const resultObject = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
               {
@@ -9065,27 +10212,137 @@ describe('streamText', () => {
               },
               { type: 'text-start', id: '1' },
               { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-delta', id: '1', delta: ', ' },
+              {
+                type: 'tool-call',
+                toolCallId: 'call-1',
+                toolName: 'tool1',
+                input: `{ "value": "value" }`,
+              },
+              { type: 'text-delta', id: '1', delta: 'world!' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
+                providerMetadata: {
+                  testProvider: { testKey: 'testValue' },
+                },
               },
             ]),
-            request: { body: 'test body' },
+            response: { headers: { call: '2' } },
           }),
+          tools: {
+            tool1: tool({
+              inputSchema: z.object({ value: z.string() }),
+              execute: async ({ value }) => `${value}-result`,
+            }),
+          },
           prompt: 'test-input',
+          onStepFinish: async event => {
+            result = event as unknown as typeof result;
+          },
           experimental_transform: upperCaseTransform,
         });
 
-        result.consumeStream();
+        await resultObject.consumeStream();
 
-        expect(await result.request).toStrictEqual({
-          body: 'TEST BODY',
-        });
+        expect(result).toMatchInlineSnapshot(`
+          DefaultStepResult {
+            "content": [
+              {
+                "providerMetadata": undefined,
+                "text": "HELLO, WORLD!",
+                "type": "text",
+              },
+              {
+                "input": {
+                  "value": "VALUE",
+                },
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-call",
+              },
+              {
+                "input": {
+                  "value": "VALUE",
+                },
+                "output": "VALUE-RESULT",
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-result",
+              },
+            ],
+            "finishReason": "stop",
+            "providerMetadata": {
+              "testProvider": {
+                "testKey": "TEST VALUE",
+              },
+            },
+            "request": {},
+            "response": {
+              "headers": {
+                "call": "2",
+              },
+              "id": "id-0",
+              "messages": [
+                {
+                  "content": [
+                    {
+                      "providerOptions": undefined,
+                      "text": "HELLO, WORLD!",
+                      "type": "text",
+                    },
+                    {
+                      "input": {
+                        "value": "VALUE",
+                      },
+                      "providerExecuted": undefined,
+                      "providerOptions": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                  ],
+                  "role": "assistant",
+                },
+                {
+                  "content": [
+                    {
+                      "output": {
+                        "type": "text",
+                        "value": "VALUE-RESULT",
+                      },
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "role": "tool",
+                },
+              ],
+              "modelId": "mock-model-id",
+              "timestamp": 1970-01-01T00:00:00.000Z,
+            },
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 3,
+              "outputTokens": 10,
+              "reasoningTokens": undefined,
+              "totalTokens": 13,
+            },
+            "warnings": [],
+          }
+        `);
       });
 
-      it('result.providerMetadata should be transformed', async () => {
+      it('telemetry should record transformed data when enabled', async () => {
+        const tracer = new MockTracer();
+
         const result = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
@@ -9097,70 +10354,87 @@ describe('streamText', () => {
               },
               { type: 'text-start', id: '1' },
               { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-delta', id: '1', delta: ', ' },
+              {
+                type: 'tool-call',
+                toolCallId: 'call-1',
+                toolName: 'tool1',
+                input: `{ "value": "value" }`,
+              },
+              { type: 'text-delta', id: '1', delta: 'world!' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
                 providerMetadata: {
-                  testProvider: {
-                    testKey: 'testValue',
-                  },
+                  testProvider: { testKey: 'testValue' },
                 },
               },
             ]),
-            request: { body: 'test body' },
           }),
+          tools: {
+            tool1: tool({
+              inputSchema: z.object({ value: z.string() }),
+              execute: async ({ value }) => `${value}-result`,
+            }),
+          },
           prompt: 'test-input',
           experimental_transform: upperCaseTransform,
+          experimental_telemetry: { isEnabled: true, tracer },
+          _internal: { now: mockValues(0, 100, 500) },
         });
 
-        result.consumeStream();
+        await result.consumeStream();
 
-        expect(JSON.stringify(await result.providerMetadata)).toStrictEqual(
-          JSON.stringify({
-            testProvider: {
-              testKey: 'TEST VALUE',
-            },
-          }),
-        );
+        expect(tracer.jsonSpans).toMatchSnapshot();
       });
 
-      it('options.onFinish should receive transformed data', async () => {
-        let result!: Parameters<
-          Required<Parameters<typeof streamText>[0]>['onFinish']
-        >[0];
+      it('it should send transformed chunks to onChunk', async () => {
+        const result: Array<
+          Extract<
+            TextStreamPart<any>,
+            {
+              type:
+                | 'text-delta'
+                | 'reasoning-delta'
+                | 'source'
+                | 'tool-call'
+                | 'tool-input-start'
+                | 'tool-input-delta'
+                | 'tool-result'
+                | 'raw';
+            }
+          >
+        > = [];
 
         const resultObject = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
-              {
-                type: 'response-metadata',
-                id: 'id-0',
-                modelId: 'mock-model-id',
-                timestamp: new Date(0),
-              },
               { type: 'text-start', id: '1' },
               { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'text-delta', id: '1', delta: ', ' },
+              { type: 'reasoning-start', id: '2' },
+              { type: 'reasoning-delta', id: '2', delta: 'Feeling clever' },
+              { type: 'reasoning-end', id: '2' },
+              { type: 'tool-input-start', id: 'call-1', toolName: 'tool1' },
+              { type: 'tool-input-delta', id: 'call-1', delta: '{"value": "' },
+              { type: 'tool-input-delta', id: 'call-1', delta: 'test' },
+              { type: 'tool-input-delta', id: 'call-1', delta: '"}' },
+              { type: 'tool-input-end', id: 'call-1' },
               {
                 type: 'tool-call',
                 toolCallId: 'call-1',
                 toolName: 'tool1',
-                input: `{ "value": "value" }`,
+                input: `{ "value": "test" }`,
               },
-              { type: 'text-delta', id: '1', delta: 'world!' },
+              { type: 'text-delta', id: '1', delta: ' World' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
-                providerMetadata: {
-                  testProvider: { testKey: 'testValue' },
-                },
               },
             ]),
-            response: { headers: { call: '2' } },
           }),
           tools: {
             tool1: {
@@ -9169,8 +10443,8 @@ describe('streamText', () => {
             },
           },
           prompt: 'test-input',
-          onFinish: async event => {
-            result = event as unknown as typeof result;
+          onChunk(event) {
+            result.push(event.chunk);
           },
           experimental_transform: upperCaseTransform,
         });
@@ -9178,219 +10452,257 @@ describe('streamText', () => {
         await resultObject.consumeStream();
 
         expect(result).toMatchInlineSnapshot(`
-          {
-            "content": [
-              {
-                "providerMetadata": undefined,
-                "text": "HELLO, WORLD!",
-                "type": "text",
-              },
-              {
-                "input": {
-                  "value": "VALUE",
-                },
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-call",
-              },
-              {
-                "input": {
-                  "value": "VALUE",
-                },
-                "output": "VALUE-RESULT",
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-result",
-              },
-            ],
-            "files": [],
-            "finishReason": "stop",
-            "providerMetadata": {
-              "testProvider": {
-                "testKey": "TEST VALUE",
+          [
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "HELLO",
+              "type": "text-delta",
+            },
+            {
+              "id": "2",
+              "providerMetadata": undefined,
+              "text": "FEELING CLEVER",
+              "type": "reasoning-delta",
+            },
+            {
+              "id": "call-1",
+              "toolName": "tool1",
+              "type": "tool-input-start",
+            },
+            {
+              "delta": "{"VALUE": "",
+              "id": "call-1",
+              "type": "tool-input-delta",
+            },
+            {
+              "delta": "TEST",
+              "id": "call-1",
+              "type": "tool-input-delta",
+            },
+            {
+              "delta": ""}",
+              "id": "call-1",
+              "type": "tool-input-delta",
+            },
+            {
+              "input": {
+                "value": "TEST",
               },
+              "providerExecuted": undefined,
+              "providerMetadata": undefined,
+              "toolCallId": "call-1",
+              "toolName": "tool1",
+              "type": "tool-call",
             },
-            "reasoning": [],
-            "reasoningText": undefined,
-            "request": {},
-            "response": {
-              "headers": {
-                "call": "2",
+            {
+              "input": {
+                "value": "TEST",
               },
-              "id": "id-0",
-              "messages": [
-                {
-                  "content": [
-                    {
-                      "providerMetadata": undefined,
-                      "text": "HELLO, WORLD!",
-                      "type": "text",
-                    },
-                    {
-                      "input": {
-                        "value": "VALUE",
-                      },
-                      "providerExecuted": undefined,
-                      "toolCallId": "call-1",
-                      "toolName": "tool1",
-                      "type": "tool-call",
-                    },
-                  ],
-                  "role": "assistant",
-                },
-                {
-                  "content": [
-                    {
-                      "output": {
-                        "type": "text",
-                        "value": "VALUE-RESULT",
-                      },
-                      "toolCallId": "call-1",
-                      "toolName": "tool1",
-                      "type": "tool-result",
-                    },
-                  ],
-                  "role": "tool",
-                },
-              ],
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
+              "output": "TEST-RESULT",
+              "providerExecuted": undefined,
+              "providerMetadata": undefined,
+              "toolCallId": "call-1",
+              "toolName": "tool1",
+              "type": "tool-result",
             },
-            "sources": [],
-            "steps": [
-              DefaultStepResult {
-                "content": [
-                  {
-                    "providerMetadata": undefined,
-                    "text": "HELLO, WORLD!",
-                    "type": "text",
-                  },
-                  {
-                    "input": {
-                      "value": "VALUE",
-                    },
-                    "providerExecuted": undefined,
-                    "toolCallId": "call-1",
-                    "toolName": "tool1",
-                    "type": "tool-call",
-                  },
-                  {
-                    "input": {
-                      "value": "VALUE",
-                    },
-                    "output": "VALUE-RESULT",
-                    "providerExecuted": undefined,
-                    "toolCallId": "call-1",
-                    "toolName": "tool1",
-                    "type": "tool-result",
+            {
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": " WORLD",
+              "type": "text-delta",
+            },
+          ]
+        `);
+      });
+    });
+
+    describe('with multiple transformations', () => {
+      const toUppercaseAndAddCommaTransform =
+        <TOOLS extends ToolSet>() =>
+        (options: { tools: TOOLS }) =>
+          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
+            transform(chunk, controller) {
+              if (chunk.type !== 'text-delta') {
+                controller.enqueue(chunk);
+                return;
+              }
+
+              controller.enqueue({
+                ...chunk,
+                text: `${chunk.text.toUpperCase()},`,
+              });
+            },
+          });
+
+      const omitCommaTransform =
+        <TOOLS extends ToolSet>() =>
+        (options: { tools: TOOLS }) =>
+          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
+            transform(chunk, controller) {
+              if (chunk.type !== 'text-delta') {
+                controller.enqueue(chunk);
+                return;
+              }
+
+              controller.enqueue({
+                ...chunk,
+                text: chunk.text.replaceAll(',', ''),
+              });
+            },
+          });
+
+      it('should transform the stream', async () => {
+        const result = streamText({
+          model: createTestModel(),
+          experimental_transform: [
+            toUppercaseAndAddCommaTransform(),
+            omitCommaTransform(),
+          ],
+          prompt: 'test-input',
+        });
+
+        expect(
+          await convertAsyncIterableToArray(result.textStream),
+        ).toStrictEqual(['HELLO', ' ', 'WORLD!']);
+      });
+    });
+
+    describe('with transformation that aborts stream', () => {
+      const stopWordTransform =
+        <TOOLS extends ToolSet>() =>
+        ({ stopStream }: { stopStream: () => void }) =>
+          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
+            // note: this is a simplified transformation for testing;
+            // in a real-world version more there would need to be
+            // stream buffering and scanning to correctly emit prior text
+            // and to detect all STOP occurrences.
+            transform(chunk, controller) {
+              if (chunk.type !== 'text-delta') {
+                controller.enqueue(chunk);
+                return;
+              }
+
+              if (chunk.text.includes('STOP')) {
+                stopStream();
+
+                controller.enqueue({
+                  type: 'finish-step',
+                  finishReason: 'stop',
+                  providerMetadata: undefined,
+                  usage: {
+                    inputTokens: undefined,
+                    outputTokens: undefined,
+                    totalTokens: undefined,
+                    reasoningTokens: undefined,
+                    cachedInputTokens: undefined,
                   },
-                ],
-                "finishReason": "stop",
-                "providerMetadata": {
-                  "testProvider": {
-                    "testKey": "TEST VALUE",
+                  response: {
+                    id: 'response-id',
+                    modelId: 'mock-model-id',
+                    timestamp: new Date(0),
+                  },
+                });
+
+                controller.enqueue({
+                  type: 'finish',
+                  finishReason: 'stop',
+                  totalUsage: {
+                    inputTokens: undefined,
+                    outputTokens: undefined,
+                    totalTokens: undefined,
+                    reasoningTokens: undefined,
+                    cachedInputTokens: undefined,
                   },
+                });
+
+                return;
+              }
+
+              controller.enqueue(chunk);
+            },
+          });
+
+      it('stream should stop when STOP token is encountered', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'Hello, ' },
+              { type: 'text-delta', id: '1', delta: 'STOP' },
+              { type: 'text-delta', id: '1', delta: ' World' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: {
+                  inputTokens: undefined,
+                  outputTokens: undefined,
+                  totalTokens: undefined,
+                  reasoningTokens: undefined,
+                  cachedInputTokens: undefined,
                 },
+              },
+            ]),
+          }),
+          prompt: 'test-input',
+          experimental_transform: stopWordTransform(),
+        });
+
+        expect(await convertAsyncIterableToArray(result.fullStream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "start",
+              },
+              {
                 "request": {},
+                "type": "start-step",
+                "warnings": [],
+              },
+              {
+                "id": "1",
+                "type": "text-start",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": "Hello, ",
+                "type": "text-delta",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": undefined,
                 "response": {
-                  "headers": {
-                    "call": "2",
-                  },
-                  "id": "id-0",
-                  "messages": [
-                    {
-                      "content": [
-                        {
-                          "providerMetadata": undefined,
-                          "text": "HELLO, WORLD!",
-                          "type": "text",
-                        },
-                        {
-                          "input": {
-                            "value": "VALUE",
-                          },
-                          "providerExecuted": undefined,
-                          "toolCallId": "call-1",
-                          "toolName": "tool1",
-                          "type": "tool-call",
-                        },
-                      ],
-                      "role": "assistant",
-                    },
-                    {
-                      "content": [
-                        {
-                          "output": {
-                            "type": "text",
-                            "value": "VALUE-RESULT",
-                          },
-                          "toolCallId": "call-1",
-                          "toolName": "tool1",
-                          "type": "tool-result",
-                        },
-                      ],
-                      "role": "tool",
-                    },
-                  ],
+                  "id": "response-id",
                   "modelId": "mock-model-id",
                   "timestamp": 1970-01-01T00:00:00.000Z,
                 },
+                "type": "finish-step",
                 "usage": {
                   "cachedInputTokens": undefined,
-                  "inputTokens": 3,
-                  "outputTokens": 10,
+                  "inputTokens": undefined,
+                  "outputTokens": undefined,
                   "reasoningTokens": undefined,
-                  "totalTokens": 13,
-                },
-                "warnings": [],
-              },
-            ],
-            "text": "HELLO, WORLD!",
-            "toolCalls": [
-              {
-                "input": {
-                  "value": "VALUE",
+                  "totalTokens": undefined,
                 },
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-call",
               },
-            ],
-            "toolResults": [
               {
-                "input": {
-                  "value": "VALUE",
+                "finishReason": "stop",
+                "totalUsage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": undefined,
+                  "outputTokens": undefined,
+                  "reasoningTokens": undefined,
+                  "totalTokens": undefined,
                 },
-                "output": "VALUE-RESULT",
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-result",
+                "type": "finish",
               },
-            ],
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
-            },
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
-            },
-            "warnings": [],
-          }
-        `);
+            ]
+          `);
       });
 
-      it('options.onStepFinish should receive transformed data', async () => {
+      it('options.onStepFinish should be called', async () => {
         let result!: Parameters<
           Required<Parameters<typeof streamText>[0]>['onStepFinish']
         >[0];
@@ -9398,45 +10710,23 @@ describe('streamText', () => {
         const resultObject = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
-              {
-                type: 'response-metadata',
-                id: 'id-0',
-                modelId: 'mock-model-id',
-                timestamp: new Date(0),
-              },
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'text-delta', id: '1', delta: ', ' },
-              {
-                type: 'tool-call',
-                toolCallId: 'call-1',
-                toolName: 'tool1',
-                input: `{ "value": "value" }`,
-              },
-              { type: 'text-delta', id: '1', delta: 'world!' },
+              { type: 'text-delta', id: '1', delta: 'Hello, ' },
+              { type: 'text-delta', id: '1', delta: 'STOP' },
+              { type: 'text-delta', id: '1', delta: ' World' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
-                providerMetadata: {
-                  testProvider: { testKey: 'testValue' },
-                },
               },
             ]),
-            response: { headers: { call: '2' } },
           }),
-          tools: {
-            tool1: tool({
-              inputSchema: z.object({ value: z.string() }),
-              execute: async ({ value }) => `${value}-result`,
-            }),
-          },
           prompt: 'test-input',
           onStepFinish: async event => {
             result = event as unknown as typeof result;
           },
-          experimental_transform: upperCaseTransform,
+          experimental_transform: stopWordTransform(),
         });
 
         await resultObject.consumeStream();
@@ -9444,76 +10734,27 @@ describe('streamText', () => {
         expect(result).toMatchInlineSnapshot(`
           DefaultStepResult {
             "content": [
-              {
-                "providerMetadata": undefined,
-                "text": "HELLO, WORLD!",
-                "type": "text",
-              },
-              {
-                "input": {
-                  "value": "VALUE",
-                },
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-call",
-              },
-              {
-                "input": {
-                  "value": "VALUE",
-                },
-                "output": "VALUE-RESULT",
-                "providerExecuted": undefined,
-                "toolCallId": "call-1",
-                "toolName": "tool1",
-                "type": "tool-result",
-              },
-            ],
-            "finishReason": "stop",
-            "providerMetadata": {
-              "testProvider": {
-                "testKey": "TEST VALUE",
-              },
-            },
-            "request": {},
-            "response": {
-              "headers": {
-                "call": "2",
-              },
-              "id": "id-0",
-              "messages": [
-                {
-                  "content": [
-                    {
-                      "providerMetadata": undefined,
-                      "text": "HELLO, WORLD!",
-                      "type": "text",
-                    },
-                    {
-                      "input": {
-                        "value": "VALUE",
-                      },
-                      "providerExecuted": undefined,
-                      "toolCallId": "call-1",
-                      "toolName": "tool1",
-                      "type": "tool-call",
-                    },
-                  ],
-                  "role": "assistant",
-                },
+              {
+                "providerMetadata": undefined,
+                "text": "Hello, ",
+                "type": "text",
+              },
+            ],
+            "finishReason": "stop",
+            "providerMetadata": undefined,
+            "request": {},
+            "response": {
+              "id": "response-id",
+              "messages": [
                 {
                   "content": [
                     {
-                      "output": {
-                        "type": "text",
-                        "value": "VALUE-RESULT",
-                      },
-                      "toolCallId": "call-1",
-                      "toolName": "tool1",
-                      "type": "tool-result",
+                      "providerOptions": undefined,
+                      "text": "Hello, ",
+                      "type": "text",
                     },
                   ],
-                  "role": "tool",
+                  "role": "assistant",
                 },
               ],
               "modelId": "mock-model-id",
@@ -9521,104 +10762,59 @@ describe('streamText', () => {
             },
             "usage": {
               "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
+              "inputTokens": undefined,
+              "outputTokens": undefined,
               "reasoningTokens": undefined,
-              "totalTokens": 13,
+              "totalTokens": undefined,
             },
             "warnings": [],
           }
         `);
       });
+    });
+  });
 
-      it('telemetry should record transformed data when enabled', async () => {
-        const tracer = new MockTracer();
-
+  describe('options.output', () => {
+    describe('no output', () => {
+      it('should throw error when accessing partial output stream', async () => {
         const result = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
-              {
-                type: 'response-metadata',
-                id: 'id-0',
-                modelId: 'mock-model-id',
-                timestamp: new Date(0),
-              },
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'text-delta', id: '1', delta: ', ' },
-              {
-                type: 'tool-call',
-                toolCallId: 'call-1',
-                toolName: 'tool1',
-                input: `{ "value": "value" }`,
-              },
-              { type: 'text-delta', id: '1', delta: 'world!' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world` },
+              { type: 'text-delta', id: '1', delta: `!"` },
+              { type: 'text-delta', id: '1', delta: ' }' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
                 usage: testUsage,
-                providerMetadata: {
-                  testProvider: { testKey: 'testValue' },
-                },
               },
             ]),
           }),
-          tools: {
-            tool1: tool({
-              inputSchema: z.object({ value: z.string() }),
-              execute: async ({ value }) => `${value}-result`,
-            }),
-          },
-          prompt: 'test-input',
-          experimental_transform: upperCaseTransform,
-          experimental_telemetry: { isEnabled: true, tracer },
-          _internal: { now: mockValues(0, 100, 500) },
+          prompt: 'prompt',
         });
 
-        await result.consumeStream();
-
-        expect(tracer.jsonSpans).toMatchSnapshot();
+        await expect(async () => {
+          await convertAsyncIterableToArray(
+            result.experimental_partialOutputStream,
+          );
+        }).rejects.toThrow('No output specified');
       });
+    });
 
-      it('it should send transformed chunks to onChunk', async () => {
-        const result: Array<
-          Extract<
-            TextStreamPart<any>,
-            {
-              type:
-                | 'text'
-                | 'reasoning'
-                | 'source'
-                | 'tool-call'
-                | 'tool-input-start'
-                | 'tool-input-delta'
-                | 'tool-result'
-                | 'raw';
-            }
-          >
-        > = [];
-
-        const resultObject = streamText({
+    describe('text output', () => {
+      it('should send partial output stream', async () => {
+        const result = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'reasoning-start', id: '2' },
-              { type: 'reasoning-delta', id: '2', delta: 'Feeling clever' },
-              { type: 'reasoning-end', id: '2' },
-              { type: 'tool-input-start', id: 'call-1', toolName: 'tool1' },
-              { type: 'tool-input-delta', id: 'call-1', delta: '{"value": "' },
-              { type: 'tool-input-delta', id: 'call-1', delta: 'test' },
-              { type: 'tool-input-delta', id: 'call-1', delta: '"}' },
-              { type: 'tool-input-end', id: 'call-1' },
-              {
-                type: 'tool-call',
-                toolCallId: 'call-1',
-                toolName: 'tool1',
-                input: `{ "value": "test" }`,
-              },
-              { type: 'text-delta', id: '1', delta: ' World' },
+              { type: 'text-delta', id: '1', delta: 'Hello, ' },
+              { type: 'text-delta', id: '1', delta: ',' },
+              { type: 'text-delta', id: '1', delta: ' world!' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
@@ -9627,282 +10823,248 @@ describe('streamText', () => {
               },
             ]),
           }),
-          tools: {
-            tool1: {
-              inputSchema: z.object({ value: z.string() }),
-              execute: async ({ value }) => `${value}-result`,
-            },
-          },
-          prompt: 'test-input',
-          onChunk(event) {
-            result.push(event.chunk);
-          },
-          experimental_transform: upperCaseTransform,
+          experimental_output: text(),
+          prompt: 'prompt',
         });
 
-        await resultObject.consumeStream();
+        expect(
+          await convertAsyncIterableToArray(
+            result.experimental_partialOutputStream,
+          ),
+        ).toStrictEqual(['Hello, ', 'Hello, ,', 'Hello, , world!']);
+      });
+    });
 
-        expect(result).toMatchInlineSnapshot(`
-          [
-            {
-              "id": "1",
-              "providerMetadata": undefined,
-              "text": "HELLO",
-              "type": "text",
-            },
-            {
-              "id": "2",
-              "providerMetadata": undefined,
-              "text": "FEELING CLEVER",
-              "type": "reasoning",
-            },
-            {
-              "id": "call-1",
-              "toolName": "tool1",
-              "type": "tool-input-start",
-            },
-            {
-              "delta": "{"VALUE": "",
-              "id": "call-1",
-              "type": "tool-input-delta",
-            },
-            {
-              "delta": "TEST",
-              "id": "call-1",
-              "type": "tool-input-delta",
-            },
-            {
-              "delta": ""}",
-              "id": "call-1",
-              "type": "tool-input-delta",
-            },
-            {
-              "input": {
-                "value": "TEST",
-              },
-              "providerExecuted": undefined,
-              "toolCallId": "call-1",
-              "toolName": "tool1",
-              "type": "tool-call",
+    describe('object output', () => {
+      it('should set responseFormat to json and send schema as part of the responseFormat', async () => {
+        let callOptions!: LanguageModelV2CallOptions;
+
+        const result = streamText({
+          model: new MockLanguageModelV2({
+            doStream: async args => {
+              callOptions = args;
+              return {
+                stream: convertArrayToReadableStream([
+                  { type: 'text-start', id: '1' },
+                  { type: 'text-delta', id: '1', delta: '{ ' },
+                  { type: 'text-delta', id: '1', delta: '"value": ' },
+                  { type: 'text-delta', id: '1', delta: `"Hello, ` },
+                  { type: 'text-delta', id: '1', delta: `world` },
+                  { type: 'text-delta', id: '1', delta: `!"` },
+                  { type: 'text-delta', id: '1', delta: ' }' },
+                  { type: 'text-end', id: '1' },
+                  {
+                    type: 'finish',
+                    finishReason: 'stop',
+                    usage: testUsage,
+                  },
+                ]),
+              };
             },
-            {
-              "input": {
-                "value": "TEST",
+          }),
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
+        });
+
+        await result.consumeStream();
+
+        expect(callOptions).toMatchInlineSnapshot(`
+          {
+            "abortSignal": undefined,
+            "frequencyPenalty": undefined,
+            "headers": undefined,
+            "includeRawChunks": false,
+            "maxOutputTokens": undefined,
+            "presencePenalty": undefined,
+            "prompt": [
+              {
+                "content": [
+                  {
+                    "text": "prompt",
+                    "type": "text",
+                  },
+                ],
+                "providerOptions": undefined,
+                "role": "user",
               },
-              "output": "TEST-RESULT",
-              "providerExecuted": undefined,
-              "toolCallId": "call-1",
-              "toolName": "tool1",
-              "type": "tool-result",
-            },
-            {
-              "id": "1",
-              "providerMetadata": undefined,
-              "text": " WORLD",
-              "type": "text",
+            ],
+            "providerOptions": undefined,
+            "responseFormat": {
+              "schema": {
+                "$schema": "http://json-schema.org/draft-07/schema#",
+                "additionalProperties": false,
+                "properties": {
+                  "value": {
+                    "type": "string",
+                  },
+                },
+                "required": [
+                  "value",
+                ],
+                "type": "object",
+              },
+              "type": "json",
             },
-          ]
+            "seed": undefined,
+            "stopSequences": undefined,
+            "temperature": undefined,
+            "toolChoice": undefined,
+            "tools": undefined,
+            "topK": undefined,
+            "topP": undefined,
+          }
         `);
       });
-    });
-
-    describe('with multiple transformations', () => {
-      const toUppercaseAndAddCommaTransform =
-        <TOOLS extends ToolSet>() =>
-        (options: { tools: TOOLS }) =>
-          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
-            transform(chunk, controller) {
-              if (chunk.type !== 'text') {
-                controller.enqueue(chunk);
-                return;
-              }
-
-              controller.enqueue({
-                ...chunk,
-                text: `${chunk.text.toUpperCase()},`,
-              });
-            },
-          });
-
-      const omitCommaTransform =
-        <TOOLS extends ToolSet>() =>
-        (options: { tools: TOOLS }) =>
-          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
-            transform(chunk, controller) {
-              if (chunk.type !== 'text') {
-                controller.enqueue(chunk);
-                return;
-              }
-
-              controller.enqueue({
-                ...chunk,
-                text: chunk.text.replaceAll(',', ''),
-              });
-            },
-          });
 
-      it('should transform the stream', async () => {
+      it('should send valid partial text fragments', async () => {
         const result = streamText({
-          model: createTestModel(),
-          experimental_transform: [
-            toUppercaseAndAddCommaTransform(),
-            omitCommaTransform(),
-          ],
-          prompt: 'test-input',
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world` },
+              { type: 'text-delta', id: '1', delta: `!"` },
+              { type: 'text-delta', id: '1', delta: ' }' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+              },
+            ]),
+          }),
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
         });
 
         expect(
           await convertAsyncIterableToArray(result.textStream),
-        ).toStrictEqual(['HELLO', ' ', 'WORLD!']);
+        ).toStrictEqual([
+          `{ `,
+          // key difference: need to combine after `:`
+          `"value": "Hello, `,
+          `world`,
+          `!"`,
+          ` }`,
+        ]);
       });
-    });
-
-    describe('with transformation that aborts stream', () => {
-      const stopWordTransform =
-        <TOOLS extends ToolSet>() =>
-        ({ stopStream }: { stopStream: () => void }) =>
-          new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
-            // note: this is a simplified transformation for testing;
-            // in a real-world version more there would need to be
-            // stream buffering and scanning to correctly emit prior text
-            // and to detect all STOP occurrences.
-            transform(chunk, controller) {
-              if (chunk.type !== 'text') {
-                controller.enqueue(chunk);
-                return;
-              }
-
-              if (chunk.text.includes('STOP')) {
-                stopStream();
-
-                controller.enqueue({
-                  type: 'finish-step',
-                  finishReason: 'stop',
-                  providerMetadata: undefined,
-                  usage: {
-                    inputTokens: undefined,
-                    outputTokens: undefined,
-                    totalTokens: undefined,
-                    reasoningTokens: undefined,
-                    cachedInputTokens: undefined,
-                  },
-                  response: {
-                    id: 'response-id',
-                    modelId: 'mock-model-id',
-                    timestamp: new Date(0),
-                  },
-                });
 
-                controller.enqueue({
-                  type: 'finish',
-                  finishReason: 'stop',
-                  totalUsage: {
-                    inputTokens: undefined,
-                    outputTokens: undefined,
-                    totalTokens: undefined,
-                    reasoningTokens: undefined,
-                    cachedInputTokens: undefined,
-                  },
-                });
-
-                return;
-              }
+      it('should send partial output stream', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world` },
+              { type: 'text-delta', id: '1', delta: `!"` },
+              { type: 'text-delta', id: '1', delta: ' }' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+              },
+            ]),
+          }),
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
+        });
 
-              controller.enqueue(chunk);
-            },
-          });
+        expect(
+          await convertAsyncIterableToArray(
+            result.experimental_partialOutputStream,
+          ),
+        ).toStrictEqual([
+          {},
+          { value: 'Hello, ' },
+          { value: 'Hello, world' },
+          { value: 'Hello, world!' },
+        ]);
+      });
 
-      it('stream should stop when STOP token is encountered', async () => {
+      it('should send partial output stream when last chunk contains content', async () => {
         const result = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello, ' },
-              { type: 'text-delta', id: '1', delta: 'STOP' },
-              { type: 'text-delta', id: '1', delta: ' World' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world!" }` },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
                 finishReason: 'stop',
-                usage: {
-                  inputTokens: undefined,
-                  outputTokens: undefined,
-                  totalTokens: undefined,
-                  reasoningTokens: undefined,
-                  cachedInputTokens: undefined,
-                },
+                usage: testUsage,
               },
             ]),
           }),
-          prompt: 'test-input',
-          experimental_transform: stopWordTransform(),
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
         });
 
-        expect(await convertAsyncIterableToArray(result.fullStream))
-          .toMatchInlineSnapshot(`
-          [
-            {
-              "type": "start",
-            },
-            {
-              "request": {},
-              "type": "start-step",
-              "warnings": [],
-            },
-            {
-              "id": "1",
-              "type": "text-start",
-            },
-            {
-              "id": "1",
-              "providerMetadata": undefined,
-              "text": "Hello, ",
-              "type": "text",
-            },
-            {
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "response": {
-                "id": "response-id",
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:00.000Z,
-              },
-              "type": "finish-step",
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": undefined,
-                "outputTokens": undefined,
-                "reasoningTokens": undefined,
-                "totalTokens": undefined,
-              },
-            },
-            {
-              "finishReason": "stop",
-              "totalUsage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": undefined,
-                "outputTokens": undefined,
-                "reasoningTokens": undefined,
-                "totalTokens": undefined,
+        expect(
+          await convertAsyncIterableToArray(
+            result.experimental_partialOutputStream,
+          ),
+        ).toStrictEqual([{}, { value: 'Hello, ' }, { value: 'Hello, world!' }]);
+      });
+
+      it('should resolve text promise with the correct content', async () => {
+        const result = streamText({
+          model: createTestModel({
+            stream: convertArrayToReadableStream([
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world!" ` },
+              { type: 'text-delta', id: '1', delta: '}' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
               },
-              "type": "finish",
-            },
-          ]
-        `);
+            ]),
+          }),
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
+        });
+
+        result.consumeStream();
+
+        expect(await result.text).toStrictEqual('{ "value": "Hello, world!" }');
       });
 
-      it('options.onStepFinish should be called', async () => {
+      it('should call onFinish with the correct content', async () => {
         let result!: Parameters<
-          Required<Parameters<typeof streamText>[0]>['onStepFinish']
+          Required<Parameters<typeof streamText>[0]>['onFinish']
         >[0];
 
         const resultObject = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello, ' },
-              { type: 'text-delta', id: '1', delta: 'STOP' },
-              { type: 'text-delta', id: '1', delta: ' World' },
+              { type: 'text-delta', id: '1', delta: '{ ' },
+              { type: 'text-delta', id: '1', delta: '"value": ' },
+              { type: 'text-delta', id: '1', delta: `"Hello, ` },
+              { type: 'text-delta', id: '1', delta: `world!" ` },
+              { type: 'text-delta', id: '1', delta: '}' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
@@ -9911,35 +11073,47 @@ describe('streamText', () => {
               },
             ]),
           }),
-          prompt: 'test-input',
-          onStepFinish: async event => {
+          experimental_output: object({
+            schema: z.object({ value: z.string() }),
+          }),
+          prompt: 'prompt',
+          onFinish: async event => {
             result = event as unknown as typeof result;
           },
-          experimental_transform: stopWordTransform(),
+          _internal: {
+            generateId: mockId({ prefix: 'id' }),
+            currentDate: () => new Date(0),
+          },
         });
 
+        resultObject.consumeStream();
+
         await resultObject.consumeStream();
 
         expect(result).toMatchInlineSnapshot(`
-          DefaultStepResult {
+          {
             "content": [
               {
                 "providerMetadata": undefined,
-                "text": "Hello, ",
+                "text": "{ "value": "Hello, world!" }",
                 "type": "text",
               },
             ],
+            "files": [],
             "finishReason": "stop",
             "providerMetadata": undefined,
+            "reasoning": [],
+            "reasoningText": undefined,
             "request": {},
             "response": {
-              "id": "response-id",
+              "headers": undefined,
+              "id": "id-0",
               "messages": [
                 {
                   "content": [
                     {
-                      "providerMetadata": undefined,
-                      "text": "Hello, ",
+                      "providerOptions": undefined,
+                      "text": "{ "value": "Hello, world!" }",
                       "type": "text",
                     },
                   ],
@@ -9949,212 +11123,378 @@ describe('streamText', () => {
               "modelId": "mock-model-id",
               "timestamp": 1970-01-01T00:00:00.000Z,
             },
+            "sources": [],
+            "steps": [
+              DefaultStepResult {
+                "content": [
+                  {
+                    "providerMetadata": undefined,
+                    "text": "{ "value": "Hello, world!" }",
+                    "type": "text",
+                  },
+                ],
+                "finishReason": "stop",
+                "providerMetadata": undefined,
+                "request": {},
+                "response": {
+                  "headers": undefined,
+                  "id": "id-0",
+                  "messages": [
+                    {
+                      "content": [
+                        {
+                          "providerOptions": undefined,
+                          "text": "{ "value": "Hello, world!" }",
+                          "type": "text",
+                        },
+                      ],
+                      "role": "assistant",
+                    },
+                  ],
+                  "modelId": "mock-model-id",
+                  "timestamp": 1970-01-01T00:00:00.000Z,
+                },
+                "usage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
+                },
+                "warnings": [],
+              },
+            ],
+            "text": "{ "value": "Hello, world!" }",
+            "toolCalls": [],
+            "toolResults": [],
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 3,
+              "outputTokens": 10,
+              "reasoningTokens": undefined,
+              "totalTokens": 13,
+            },
             "usage": {
               "cachedInputTokens": undefined,
-              "inputTokens": undefined,
-              "outputTokens": undefined,
+              "inputTokens": 3,
+              "outputTokens": 10,
               "reasoningTokens": undefined,
-              "totalTokens": undefined,
+              "totalTokens": 13,
+            },
+            "warnings": [],
+          }
+        `);
+      });
+    });
+  });
+
+  describe('options.activeTools', () => {
+    it('should filter available tools to only the ones in activeTools', async () => {
+      let tools:
+        | (LanguageModelV2FunctionTool | LanguageModelV2ProviderDefinedTool)[]
+        | undefined;
+
+      const result = streamText({
+        model: new MockLanguageModelV2({
+          doStream: async ({ tools: toolsArg }) => {
+            tools = toolsArg;
+
+            return {
+              stream: convertArrayToReadableStream([
+                { type: 'text-start', id: '1' },
+                { type: 'text-delta', id: '1', delta: 'Hello' },
+                { type: 'text-delta', id: '1', delta: ', ' },
+                { type: 'text-delta', id: '1', delta: `world!` },
+                { type: 'text-end', id: '1' },
+                {
+                  type: 'finish',
+                  finishReason: 'stop',
+                  usage: testUsage,
+                },
+              ]),
+            };
+          },
+        }),
+        tools: {
+          tool1: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async () => 'result1',
+          },
+          tool2: {
+            inputSchema: z.object({ value: z.string() }),
+            execute: async () => 'result2',
+          },
+        },
+        prompt: 'test-input',
+        activeTools: ['tool1'],
+      });
+
+      await result.consumeStream();
+
+      expect(tools).toMatchInlineSnapshot(`
+        [
+          {
+            "description": undefined,
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "value": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "value",
+              ],
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ]
+      `);
+    });
+  });
+
+  describe('raw chunks forwarding', () => {
+    it('should forward raw chunks when includeRawChunks is enabled', async () => {
+      const modelWithRawChunks = createTestModel({
+        stream: convertArrayToReadableStream([
+          { type: 'stream-start', warnings: [] },
+          {
+            type: 'raw',
+            rawValue: {
+              type: 'raw-data',
+              content: 'should appear',
+            },
+          },
+          {
+            type: 'response-metadata',
+            id: 'test-id',
+            modelId: 'test-model',
+            timestamp: new Date(0),
+          },
+          { type: 'text-start', id: '1' },
+          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
+          { type: 'text-end', id: '1' },
+          {
+            type: 'finish',
+            finishReason: 'stop',
+            usage: testUsage,
+          },
+        ]),
+      });
+
+      const result = streamText({
+        model: modelWithRawChunks,
+        prompt: 'test prompt',
+        includeRawChunks: true,
+      });
+
+      const chunks = await convertAsyncIterableToArray(result.fullStream);
+
+      expect(chunks.filter(chunk => chunk.type === 'raw'))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "rawValue": {
+                "content": "should appear",
+                "type": "raw-data",
+              },
+              "type": "raw",
+            },
+          ]
+        `);
+    });
+
+    it('should not forward raw chunks when includeRawChunks is disabled', async () => {
+      const modelWithRawChunks = createTestModel({
+        stream: convertArrayToReadableStream([
+          { type: 'stream-start', warnings: [] },
+          {
+            type: 'raw',
+            rawValue: {
+              type: 'raw-data',
+              content: 'should not appear',
             },
-            "warnings": [],
-          }
-        `);
+          },
+          {
+            type: 'response-metadata',
+            id: 'test-id',
+            modelId: 'test-model',
+            timestamp: new Date(0),
+          },
+          { type: 'text-start', id: '1' },
+          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
+          { type: 'text-end', id: '1' },
+          {
+            type: 'finish',
+            finishReason: 'stop',
+            usage: testUsage,
+          },
+        ]),
       });
-    });
-  });
-
-  describe('options.output', () => {
-    describe('no output', () => {
-      it('should throw error when accessing partial output stream', async () => {
-        const result = streamText({
-          model: createTestModel({
-            stream: convertArrayToReadableStream([
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world` },
-              { type: 'text-delta', id: '1', delta: `!"` },
-              { type: 'text-delta', id: '1', delta: ' }' },
-              { type: 'text-end', id: '1' },
-              {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
-              },
-            ]),
-          }),
-          prompt: 'prompt',
-        });
 
-        await expect(async () => {
-          await convertAsyncIterableToArray(
-            result.experimental_partialOutputStream,
-          );
-        }).rejects.toThrow('No output specified');
+      const result = streamText({
+        model: modelWithRawChunks,
+        prompt: 'test prompt',
+        includeRawChunks: false,
       });
+
+      const chunks = await convertAsyncIterableToArray(result.fullStream);
+
+      expect(chunks.filter(chunk => chunk.type === 'raw')).toHaveLength(0);
     });
 
-    describe('text output', () => {
-      it('should send partial output stream', async () => {
-        const result = streamText({
-          model: createTestModel({
+    it('should pass through the includeRawChunks flag correctly to the model', async () => {
+      let capturedOptions: any;
+
+      const model = new MockLanguageModelV2({
+        doStream: async options => {
+          capturedOptions = options;
+
+          return {
             stream: convertArrayToReadableStream([
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello, ' },
-              { type: 'text-delta', id: '1', delta: ',' },
-              { type: 'text-delta', id: '1', delta: ' world!' },
-              { type: 'text-end', id: '1' },
-              {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
-              },
+              { type: 'stream-start', warnings: [] },
+              { type: 'finish', finishReason: 'stop', usage: testUsage },
             ]),
-          }),
-          experimental_output: text(),
-          prompt: 'prompt',
-        });
-
-        expect(
-          await convertAsyncIterableToArray(
-            result.experimental_partialOutputStream,
-          ),
-        ).toStrictEqual(['Hello, ', 'Hello, ,', 'Hello, , world!']);
+          };
+        },
       });
+
+      await streamText({
+        model,
+        prompt: 'test prompt',
+        includeRawChunks: true,
+      }).consumeStream();
+
+      expect(capturedOptions.includeRawChunks).toBe(true);
     });
 
-    describe('object output', () => {
-      it('should set responseFormat to json and send schema as part of the responseFormat', async () => {
-        let callOptions!: LanguageModelV2CallOptions;
+    it('should call onChunk with raw chunks when includeRawChunks is enabled', async () => {
+      const onChunkCalls: Array<any> = [];
 
-        const result = streamText({
-          model: new MockLanguageModelV2({
-            doStream: async args => {
-              callOptions = args;
-              return {
-                stream: convertArrayToReadableStream([
-                  { type: 'text-start', id: '1' },
-                  { type: 'text-delta', id: '1', delta: '{ ' },
-                  { type: 'text-delta', id: '1', delta: '"value": ' },
-                  { type: 'text-delta', id: '1', delta: `"Hello, ` },
-                  { type: 'text-delta', id: '1', delta: `world` },
-                  { type: 'text-delta', id: '1', delta: `!"` },
-                  { type: 'text-delta', id: '1', delta: ' }' },
-                  { type: 'text-end', id: '1' },
-                  {
-                    type: 'finish',
-                    finishReason: 'stop',
-                    usage: testUsage,
-                  },
-                ]),
-              };
+      const modelWithRawChunks = createTestModel({
+        stream: convertArrayToReadableStream([
+          { type: 'stream-start', warnings: [] },
+          {
+            type: 'raw',
+            rawValue: { type: 'stream-start', data: 'start' },
+          },
+          {
+            type: 'raw',
+            rawValue: {
+              type: 'response-metadata',
+              id: 'test-id',
+              modelId: 'test-model',
             },
-          }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
-        });
+          },
+          {
+            type: 'raw',
+            rawValue: { type: 'text-delta', content: 'Hello' },
+          },
+          {
+            type: 'raw',
+            rawValue: { type: 'text-delta', content: ', world!' },
+          },
+          {
+            type: 'raw',
+            rawValue: { type: 'finish', reason: 'stop' },
+          },
+          {
+            type: 'response-metadata',
+            id: 'test-id',
+            modelId: 'test-model',
+            timestamp: new Date(0),
+          },
+          { type: 'text-start', id: '1' },
+          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
+          { type: 'text-end', id: '1' },
+          {
+            type: 'finish',
+            finishReason: 'stop',
+            usage: testUsage,
+          },
+        ]),
+      });
 
-        await result.consumeStream();
+      const result = streamText({
+        model: modelWithRawChunks,
+        prompt: 'test prompt',
+        includeRawChunks: true,
+        onChunk({ chunk }) {
+          onChunkCalls.push(chunk);
+        },
+      });
 
-        expect(callOptions).toMatchInlineSnapshot(`
+      await result.consumeStream();
+
+      expect(onChunkCalls).toMatchInlineSnapshot(`
+        [
           {
-            "abortSignal": undefined,
-            "frequencyPenalty": undefined,
-            "headers": undefined,
-            "includeRawChunks": false,
-            "maxOutputTokens": undefined,
-            "presencePenalty": undefined,
-            "prompt": [
-              {
-                "content": [
-                  {
-                    "text": "prompt",
-                    "type": "text",
-                  },
-                ],
-                "providerOptions": undefined,
-                "role": "user",
-              },
-            ],
-            "providerOptions": undefined,
-            "responseFormat": {
-              "schema": {
-                "$schema": "http://json-schema.org/draft-07/schema#",
-                "additionalProperties": false,
-                "properties": {
-                  "value": {
-                    "type": "string",
-                  },
-                },
-                "required": [
-                  "value",
-                ],
-                "type": "object",
-              },
-              "type": "json",
+            "rawValue": {
+              "data": "start",
+              "type": "stream-start",
+            },
+            "type": "raw",
+          },
+          {
+            "rawValue": {
+              "id": "test-id",
+              "modelId": "test-model",
+              "type": "response-metadata",
+            },
+            "type": "raw",
+          },
+          {
+            "rawValue": {
+              "content": "Hello",
+              "type": "text-delta",
+            },
+            "type": "raw",
+          },
+          {
+            "rawValue": {
+              "content": ", world!",
+              "type": "text-delta",
+            },
+            "type": "raw",
+          },
+          {
+            "rawValue": {
+              "reason": "stop",
+              "type": "finish",
             },
-            "seed": undefined,
-            "stopSequences": undefined,
-            "temperature": undefined,
-            "toolChoice": undefined,
-            "tools": undefined,
-            "topK": undefined,
-            "topP": undefined,
-          }
-        `);
-      });
+            "type": "raw",
+          },
+          {
+            "id": "1",
+            "providerMetadata": undefined,
+            "text": "Hello, world!",
+            "type": "text-delta",
+          },
+        ]
+      `);
+    });
 
-      it('should send valid partial text fragments', async () => {
-        const result = streamText({
-          model: createTestModel({
+    it('should pass includeRawChunks flag correctly to the model', async () => {
+      let capturedOptions: any;
+
+      const model = new MockLanguageModelV2({
+        doStream: async options => {
+          capturedOptions = options;
+          return {
             stream: convertArrayToReadableStream([
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world` },
-              { type: 'text-delta', id: '1', delta: `!"` },
-              { type: 'text-delta', id: '1', delta: ' }' },
-              { type: 'text-end', id: '1' },
+              { type: 'stream-start', warnings: [] },
               {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
+                type: 'response-metadata',
+                id: 'test-id',
+                modelId: 'test-model',
+                timestamp: new Date(0),
               },
-            ]),
-          }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
-        });
-
-        expect(
-          await convertAsyncIterableToArray(result.textStream),
-        ).toStrictEqual([
-          `{ `,
-          // key difference: need to combine after `:`
-          `"value": "Hello, `,
-          `world`,
-          `!"`,
-          ` }`,
-        ]);
-      });
-
-      it('should send partial output stream', async () => {
-        const result = streamText({
-          model: createTestModel({
-            stream: convertArrayToReadableStream([
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world` },
-              { type: 'text-delta', id: '1', delta: `!"` },
-              { type: 'text-delta', id: '1', delta: ' }' },
+              { type: 'text-delta', id: '1', delta: 'Hello' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
@@ -10162,65 +11502,61 @@ describe('streamText', () => {
                 usage: testUsage,
               },
             ]),
-          }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
-        });
-
-        expect(
-          await convertAsyncIterableToArray(
-            result.experimental_partialOutputStream,
-          ),
-        ).toStrictEqual([
-          {},
-          { value: 'Hello, ' },
-          { value: 'Hello, world' },
-          { value: 'Hello, world!' },
-        ]);
+          };
+        },
       });
 
-      it('should send partial output stream when last chunk contains content', async () => {
-        const result = streamText({
-          model: createTestModel({
-            stream: convertArrayToReadableStream([
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world!" }` },
-              { type: 'text-end', id: '1' },
-              {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
-              },
-            ]),
-          }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
-        });
+      await streamText({
+        model,
+        prompt: 'test prompt',
+        includeRawChunks: true,
+      }).consumeStream();
 
-        expect(
-          await convertAsyncIterableToArray(
-            result.experimental_partialOutputStream,
-          ),
-        ).toStrictEqual([{}, { value: 'Hello, ' }, { value: 'Hello, world!' }]);
-      });
+      expect(capturedOptions.includeRawChunks).toBe(true);
 
-      it('should resolve text promise with the correct content', async () => {
-        const result = streamText({
+      await streamText({
+        model,
+        prompt: 'test prompt',
+        includeRawChunks: false,
+      }).consumeStream();
+
+      expect(capturedOptions.includeRawChunks).toBe(false);
+
+      await streamText({
+        model,
+        prompt: 'test prompt',
+      }).consumeStream();
+
+      expect(capturedOptions.includeRawChunks).toBe(false);
+    });
+  });
+
+  describe('mixed multi content streaming with interleaving parts', () => {
+    describe('mixed text and reasoning blocks', () => {
+      let result: StreamTextResult<any, any>;
+
+      beforeEach(async () => {
+        result = streamText({
           model: createTestModel({
             stream: convertArrayToReadableStream([
+              { type: 'stream-start', warnings: [] },
+              { type: 'reasoning-start', id: '0' },
               { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world!" ` },
-              { type: 'text-delta', id: '1', delta: '}' },
+              { type: 'reasoning-delta', id: '0', delta: 'Thinking...' },
+              { type: 'text-delta', id: '1', delta: 'Hello' },
+              { type: 'text-delta', id: '1', delta: ', ' },
+              { type: 'text-start', id: '2' },
+              { type: 'text-delta', id: '2', delta: `This ` },
+              { type: 'text-delta', id: '2', delta: `is ` },
+              { type: 'reasoning-start', id: '3' },
+              { type: 'reasoning-delta', id: '0', delta: `I'm thinking...` },
+              { type: 'reasoning-delta', id: '3', delta: `Separate thoughts` },
+              { type: 'text-delta', id: '2', delta: `a` },
+              { type: 'text-delta', id: '1', delta: `world!` },
+              { type: 'reasoning-end', id: '0' },
+              { type: 'text-delta', id: '2', delta: ` test.` },
+              { type: 'text-end', id: '2' },
+              { type: 'reasoning-end', id: '3' },
               { type: 'text-end', id: '1' },
               {
                 type: 'finish',
@@ -10229,120 +11565,128 @@ describe('streamText', () => {
               },
             ]),
           }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
+          prompt: 'test-input',
+          _internal: {
+            currentDate: mockValues(new Date(2000)),
+            generateId: mockId(),
+          },
         });
-
-        result.consumeStream();
-
-        expect(await result.text).toStrictEqual('{ "value": "Hello, world!" }');
       });
 
-      it('should call onFinish with the correct content', async () => {
-        let result!: Parameters<
-          Required<Parameters<typeof streamText>[0]>['onFinish']
-        >[0];
-
-        const resultObject = streamText({
-          model: createTestModel({
-            stream: convertArrayToReadableStream([
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: '{ ' },
-              { type: 'text-delta', id: '1', delta: '"value": ' },
-              { type: 'text-delta', id: '1', delta: `"Hello, ` },
-              { type: 'text-delta', id: '1', delta: `world!" ` },
-              { type: 'text-delta', id: '1', delta: '}' },
-              { type: 'text-end', id: '1' },
+      it('should return the full stream with the correct parts', async () => {
+        expect(await convertAsyncIterableToArray(result.fullStream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "start",
+              },
+              {
+                "request": {},
+                "type": "start-step",
+                "warnings": [],
+              },
+              {
+                "id": "0",
+                "type": "reasoning-start",
+              },
+              {
+                "id": "1",
+                "type": "text-start",
+              },
+              {
+                "id": "0",
+                "providerMetadata": undefined,
+                "text": "Thinking...",
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": "Hello",
+                "type": "text-delta",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": ", ",
+                "type": "text-delta",
+              },
+              {
+                "id": "2",
+                "type": "text-start",
+              },
+              {
+                "id": "2",
+                "providerMetadata": undefined,
+                "text": "This ",
+                "type": "text-delta",
+              },
+              {
+                "id": "2",
+                "providerMetadata": undefined,
+                "text": "is ",
+                "type": "text-delta",
+              },
+              {
+                "id": "3",
+                "type": "reasoning-start",
+              },
               {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
+                "id": "0",
+                "providerMetadata": undefined,
+                "text": "I'm thinking...",
+                "type": "reasoning-delta",
               },
-            ]),
-          }),
-          experimental_output: object({
-            schema: z.object({ value: z.string() }),
-          }),
-          prompt: 'prompt',
-          onFinish: async event => {
-            result = event as unknown as typeof result;
-          },
-          _internal: {
-            generateId: mockId({ prefix: 'id' }),
-            currentDate: () => new Date(0),
-          },
-        });
-
-        resultObject.consumeStream();
-
-        await resultObject.consumeStream();
-
-        expect(result).toMatchInlineSnapshot(`
-          {
-            "content": [
               {
+                "id": "3",
                 "providerMetadata": undefined,
-                "text": "{ "value": "Hello, world!" }",
-                "type": "text",
+                "text": "Separate thoughts",
+                "type": "reasoning-delta",
               },
-            ],
-            "files": [],
-            "finishReason": "stop",
-            "providerMetadata": undefined,
-            "reasoning": [],
-            "reasoningText": undefined,
-            "request": {},
-            "response": {
-              "headers": undefined,
-              "id": "id-0",
-              "messages": [
-                {
-                  "content": [
-                    {
-                      "providerMetadata": undefined,
-                      "text": "{ "value": "Hello, world!" }",
-                      "type": "text",
-                    },
-                  ],
-                  "role": "assistant",
-                },
-              ],
-              "modelId": "mock-model-id",
-              "timestamp": 1970-01-01T00:00:00.000Z,
-            },
-            "sources": [],
-            "steps": [
-              DefaultStepResult {
-                "content": [
-                  {
-                    "providerMetadata": undefined,
-                    "text": "{ "value": "Hello, world!" }",
-                    "type": "text",
-                  },
-                ],
+              {
+                "id": "2",
+                "providerMetadata": undefined,
+                "text": "a",
+                "type": "text-delta",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": "world!",
+                "type": "text-delta",
+              },
+              {
+                "id": "0",
+                "type": "reasoning-end",
+              },
+              {
+                "id": "2",
+                "providerMetadata": undefined,
+                "text": " test.",
+                "type": "text-delta",
+              },
+              {
+                "id": "2",
+                "type": "text-end",
+              },
+              {
+                "id": "3",
+                "type": "reasoning-end",
+              },
+              {
+                "id": "1",
+                "type": "text-end",
+              },
+              {
                 "finishReason": "stop",
                 "providerMetadata": undefined,
-                "request": {},
                 "response": {
                   "headers": undefined,
                   "id": "id-0",
-                  "messages": [
-                    {
-                      "content": [
-                        {
-                          "providerMetadata": undefined,
-                          "text": "{ "value": "Hello, world!" }",
-                          "type": "text",
-                        },
-                      ],
-                      "role": "assistant",
-                    },
-                  ],
                   "modelId": "mock-model-id",
-                  "timestamp": 1970-01-01T00:00:00.000Z,
+                  "timestamp": 1970-01-01T00:00:02.000Z,
                 },
+                "type": "finish-step",
                 "usage": {
                   "cachedInputTokens": undefined,
                   "inputTokens": 3,
@@ -10350,655 +11694,571 @@ describe('streamText', () => {
                   "reasoningTokens": undefined,
                   "totalTokens": 13,
                 },
-                "warnings": [],
               },
-            ],
-            "text": "{ "value": "Hello, world!" }",
-            "toolCalls": [],
-            "toolResults": [],
-            "totalUsage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
-            },
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 3,
-              "outputTokens": 10,
-              "reasoningTokens": undefined,
-              "totalTokens": 13,
-            },
-            "warnings": [],
-          }
-        `);
-      });
-    });
-  });
-
-  describe('options.activeTools', () => {
-    it('should filter available tools to only the ones in activeTools', async () => {
-      let tools:
-        | (LanguageModelV2FunctionTool | LanguageModelV2ProviderDefinedTool)[]
-        | undefined;
-
-      const result = streamText({
-        model: new MockLanguageModelV2({
-          doStream: async ({ tools: toolsArg }) => {
-            tools = toolsArg;
-
-            return {
-              stream: convertArrayToReadableStream([
-                { type: 'text-start', id: '1' },
-                { type: 'text-delta', id: '1', delta: 'Hello' },
-                { type: 'text-delta', id: '1', delta: ', ' },
-                { type: 'text-delta', id: '1', delta: `world!` },
-                { type: 'text-end', id: '1' },
-                {
-                  type: 'finish',
-                  finishReason: 'stop',
-                  usage: testUsage,
+              {
+                "finishReason": "stop",
+                "totalUsage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
                 },
-              ]),
-            };
-          },
-        }),
-        tools: {
-          tool1: {
-            inputSchema: z.object({ value: z.string() }),
-            execute: async () => 'result1',
-          },
-          tool2: {
-            inputSchema: z.object({ value: z.string() }),
-            execute: async () => 'result2',
-          },
-        },
-        prompt: 'test-input',
-        activeTools: ['tool1'],
+                "type": "finish",
+              },
+            ]
+          `);
       });
 
-      await result.consumeStream();
+      it('should return the content parts in the correct order', async () => {
+        await result.consumeStream();
 
-      expect(tools).toMatchInlineSnapshot(`
-        [
-          {
-            "description": undefined,
-            "inputSchema": {
-              "$schema": "http://json-schema.org/draft-07/schema#",
-              "additionalProperties": false,
-              "properties": {
-                "value": {
-                  "type": "string",
-                },
-              },
-              "required": [
-                "value",
-              ],
-              "type": "object",
+        expect(await result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "providerMetadata": undefined,
+              "text": "Thinking...I'm thinking...",
+              "type": "reasoning",
             },
-            "name": "tool1",
-            "type": "function",
-          },
-        ]
-      `);
-    });
-  });
-
-  describe('raw chunks forwarding', () => {
-    it('should forward raw chunks when includeRawChunks is enabled', async () => {
-      const modelWithRawChunks = createTestModel({
-        stream: convertArrayToReadableStream([
-          { type: 'stream-start', warnings: [] },
-          {
-            type: 'raw',
-            rawValue: {
-              type: 'raw-data',
-              content: 'should appear',
+            {
+              "providerMetadata": undefined,
+              "text": "Hello, world!",
+              "type": "text",
             },
-          },
-          {
-            type: 'response-metadata',
-            id: 'test-id',
-            modelId: 'test-model',
-            timestamp: new Date(0),
-          },
-          { type: 'text-start', id: '1' },
-          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
-          { type: 'text-end', id: '1' },
-          {
-            type: 'finish',
-            finishReason: 'stop',
-            usage: testUsage,
-          },
-        ]),
-      });
-
-      const result = streamText({
-        model: modelWithRawChunks,
-        prompt: 'test prompt',
-        includeRawChunks: true,
+            {
+              "providerMetadata": undefined,
+              "text": "This is a test.",
+              "type": "text",
+            },
+            {
+              "providerMetadata": undefined,
+              "text": "Separate thoughts",
+              "type": "reasoning",
+            },
+          ]
+        `);
       });
 
-      const chunks = await convertAsyncIterableToArray(result.fullStream);
+      it('should return the step content parts in the correct order', async () => {
+        await result.consumeStream();
 
-      expect(chunks.filter(chunk => chunk.type === 'raw'))
-        .toMatchInlineSnapshot(`
+        expect(await result.steps).toMatchInlineSnapshot(`
           [
-            {
-              "rawValue": {
-                "content": "should appear",
-                "type": "raw-data",
+            DefaultStepResult {
+              "content": [
+                {
+                  "providerMetadata": undefined,
+                  "text": "Thinking...I'm thinking...",
+                  "type": "reasoning",
+                },
+                {
+                  "providerMetadata": undefined,
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+                {
+                  "providerMetadata": undefined,
+                  "text": "This is a test.",
+                  "type": "text",
+                },
+                {
+                  "providerMetadata": undefined,
+                  "text": "Separate thoughts",
+                  "type": "reasoning",
+                },
+              ],
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "request": {},
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "messages": [
+                  {
+                    "content": [
+                      {
+                        "providerOptions": undefined,
+                        "text": "Thinking...I'm thinking...",
+                        "type": "reasoning",
+                      },
+                      {
+                        "providerOptions": undefined,
+                        "text": "Hello, world!",
+                        "type": "text",
+                      },
+                      {
+                        "providerOptions": undefined,
+                        "text": "This is a test.",
+                        "type": "text",
+                      },
+                      {
+                        "providerOptions": undefined,
+                        "text": "Separate thoughts",
+                        "type": "reasoning",
+                      },
+                    ],
+                    "role": "assistant",
+                  },
+                ],
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:02.000Z,
               },
-              "type": "raw",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 3,
+                "outputTokens": 10,
+                "reasoningTokens": undefined,
+                "totalTokens": 13,
+              },
+              "warnings": [],
             },
           ]
         `);
-    });
-
-    it('should not forward raw chunks when includeRawChunks is disabled', async () => {
-      const modelWithRawChunks = createTestModel({
-        stream: convertArrayToReadableStream([
-          { type: 'stream-start', warnings: [] },
-          {
-            type: 'raw',
-            rawValue: {
-              type: 'raw-data',
-              content: 'should not appear',
-            },
-          },
-          {
-            type: 'response-metadata',
-            id: 'test-id',
-            modelId: 'test-model',
-            timestamp: new Date(0),
-          },
-          { type: 'text-start', id: '1' },
-          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
-          { type: 'text-end', id: '1' },
-          {
-            type: 'finish',
-            finishReason: 'stop',
-            usage: testUsage,
-          },
-        ]),
-      });
-
-      const result = streamText({
-        model: modelWithRawChunks,
-        prompt: 'test prompt',
-        includeRawChunks: false,
       });
-
-      const chunks = await convertAsyncIterableToArray(result.fullStream);
-
-      expect(chunks.filter(chunk => chunk.type === 'raw')).toHaveLength(0);
     });
+  });
 
-    it('should pass through the includeRawChunks flag correctly to the model', async () => {
-      let capturedOptions: any;
-
-      const model = new MockLanguageModelV2({
-        doStream: async options => {
-          capturedOptions = options;
-
-          return {
-            stream: convertArrayToReadableStream([
-              { type: 'stream-start', warnings: [] },
-              { type: 'finish', finishReason: 'stop', usage: testUsage },
-            ]),
-          };
-        },
-      });
-
-      await streamText({
-        model,
-        prompt: 'test prompt',
-        includeRawChunks: true,
-      }).consumeStream();
+  describe('abort signal', () => {
+    describe('basic abort', () => {
+      let result: StreamTextResult<ToolSet, TextStreamPart<ToolSet>>;
+      let onErrorCalls: Array<{ error: unknown }> = [];
+      let onAbortCalls: Array<{ steps: StepResult<ToolSet>[] }> = [];
 
-      expect(capturedOptions.includeRawChunks).toBe(true);
-    });
+      beforeEach(() => {
+        onErrorCalls = [];
+        onAbortCalls = [];
 
-    it('should call onChunk with raw chunks when includeRawChunks is enabled', async () => {
-      const onChunkCalls: Array<any> = [];
+        const abortController = new AbortController();
+        let pullCalls = 0;
 
-      const modelWithRawChunks = createTestModel({
-        stream: convertArrayToReadableStream([
-          { type: 'stream-start', warnings: [] },
-          {
-            type: 'raw',
-            rawValue: { type: 'stream-start', data: 'start' },
-          },
-          {
-            type: 'raw',
-            rawValue: {
-              type: 'response-metadata',
-              id: 'test-id',
-              modelId: 'test-model',
-            },
-          },
-          {
-            type: 'raw',
-            rawValue: { type: 'text-delta', content: 'Hello' },
-          },
-          {
-            type: 'raw',
-            rawValue: { type: 'text-delta', content: ', world!' },
-          },
-          {
-            type: 'raw',
-            rawValue: { type: 'finish', reason: 'stop' },
-          },
-          {
-            type: 'response-metadata',
-            id: 'test-id',
-            modelId: 'test-model',
-            timestamp: new Date(0),
+        result = streamText({
+          abortSignal: abortController.signal,
+          onError: error => {
+            onErrorCalls.push({ error });
           },
-          { type: 'text-start', id: '1' },
-          { type: 'text-delta', id: '1', delta: 'Hello, world!' },
-          { type: 'text-end', id: '1' },
-          {
-            type: 'finish',
-            finishReason: 'stop',
-            usage: testUsage,
+          onAbort: event => {
+            onAbortCalls.push(event);
           },
-        ]),
-      });
-
-      const result = streamText({
-        model: modelWithRawChunks,
-        prompt: 'test prompt',
-        includeRawChunks: true,
-        onChunk({ chunk }) {
-          onChunkCalls.push(chunk);
-        },
+          model: new MockLanguageModelV2({
+            doStream: async () => ({
+              stream: new ReadableStream({
+                pull(controller) {
+                  switch (pullCalls++) {
+                    case 0:
+                      controller.enqueue({
+                        type: 'stream-start',
+                        warnings: [],
+                      });
+                      break;
+                    case 1:
+                      controller.enqueue({
+                        type: 'text-start',
+                        id: '1',
+                      });
+                      break;
+                    case 2:
+                      controller.enqueue({
+                        type: 'text-delta',
+                        id: '1',
+                        delta: 'Hello',
+                      });
+                      break;
+                    case 3:
+                      abortController.abort();
+                      controller.error(
+                        new DOMException(
+                          'The user aborted a request.',
+                          'AbortError',
+                        ),
+                      );
+                      break;
+                  }
+                },
+              }),
+            }),
+          }),
+          prompt: 'test-input',
+        });
       });
 
-      await result.consumeStream();
-
-      expect(onChunkCalls).toMatchInlineSnapshot(`
-        [
-          {
-            "rawValue": {
-              "data": "start",
-              "type": "stream-start",
-            },
-            "type": "raw",
-          },
-          {
-            "rawValue": {
-              "id": "test-id",
-              "modelId": "test-model",
-              "type": "response-metadata",
-            },
-            "type": "raw",
-          },
-          {
-            "rawValue": {
-              "content": "Hello",
-              "type": "text-delta",
-            },
-            "type": "raw",
-          },
-          {
-            "rawValue": {
-              "content": ", world!",
-              "type": "text-delta",
-            },
-            "type": "raw",
-          },
-          {
-            "rawValue": {
-              "reason": "stop",
-              "type": "finish",
-            },
-            "type": "raw",
-          },
-          {
-            "id": "1",
-            "providerMetadata": undefined,
-            "text": "Hello, world!",
-            "type": "text",
-          },
-        ]
-      `);
-    });
+      it('should not call onError for abort errors', async () => {
+        await result.consumeStream();
+        expect(onErrorCalls).toMatchInlineSnapshot(`[]`);
+      });
 
-    it('should pass includeRawChunks flag correctly to the model', async () => {
-      let capturedOptions: any;
+      it('should call onAbort when the abort signal is triggered', async () => {
+        await result.consumeStream();
+        expect(onAbortCalls).toMatchInlineSnapshot(`
+          [
+            {
+              "steps": [],
+            },
+          ]
+        `);
+      });
 
-      const model = new MockLanguageModelV2({
-        doStream: async options => {
-          capturedOptions = options;
-          return {
-            stream: convertArrayToReadableStream([
-              { type: 'stream-start', warnings: [] },
+      it('should only stream initial chunks in full stream', async () => {
+        expect(await convertAsyncIterableToArray(result.fullStream))
+          .toMatchInlineSnapshot(`
+            [
               {
-                type: 'response-metadata',
-                id: 'test-id',
-                modelId: 'test-model',
-                timestamp: new Date(0),
+                "type": "start",
               },
-              { type: 'text-start', id: '1' },
-              { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'text-end', id: '1' },
               {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
+                "request": {},
+                "type": "start-step",
+                "warnings": [],
               },
-            ]),
-          };
-        },
+              {
+                "id": "1",
+                "type": "text-start",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": "Hello",
+                "type": "text-delta",
+              },
+              {
+                "type": "abort",
+              },
+            ]
+          `);
       });
 
-      await streamText({
-        model,
-        prompt: 'test prompt',
-        includeRawChunks: true,
-      }).consumeStream();
+      it('should sent an abort chunk in the ui message stream', async () => {
+        expect(await convertAsyncIterableToArray(result.toUIMessageStream()))
+          .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start",
+            },
+            {
+              "type": "start-step",
+            },
+            {
+              "id": "1",
+              "type": "text-start",
+            },
+            {
+              "delta": "Hello",
+              "id": "1",
+              "type": "text-delta",
+            },
+            {
+              "type": "abort",
+            },
+          ]
+        `);
+      });
+    });
 
-      expect(capturedOptions.includeRawChunks).toBe(true);
+    describe('abort in 2nd step', () => {
+      let result: StreamTextResult<any, TextStreamPart<any>>;
+      let onErrorCalls: Array<{ error: unknown }> = [];
+      let onAbortCalls: Array<{ steps: StepResult<any>[] }> = [];
 
-      await streamText({
-        model,
-        prompt: 'test prompt',
-        includeRawChunks: false,
-      }).consumeStream();
+      beforeEach(() => {
+        onErrorCalls = [];
+        onAbortCalls = [];
 
-      expect(capturedOptions.includeRawChunks).toBe(false);
+        const abortController = new AbortController();
+        let pullCalls = 0;
+        let streamCalls = 0;
 
-      await streamText({
-        model,
-        prompt: 'test prompt',
-      }).consumeStream();
+        result = streamText({
+          abortSignal: abortController.signal,
+          onAbort: event => {
+            onAbortCalls.push(event);
+          },
+          model: new MockLanguageModelV2({
+            doStream: async () => ({
+              stream: new ReadableStream({
+                start(controller) {
+                  streamCalls++;
+                  pullCalls = 0;
+                },
+                pull(controller) {
+                  if (streamCalls === 1) {
+                    switch (pullCalls++) {
+                      case 0:
+                        controller.enqueue({
+                          type: 'stream-start',
+                          warnings: [],
+                        });
+                        break;
+                      case 1:
+                        controller.enqueue({
+                          type: 'tool-call',
+                          toolCallId: 'call-1',
+                          toolName: 'tool1',
+                          input: `{ "value": "value" }`,
+                        });
+                        break;
+                      case 2:
+                        controller.enqueue({
+                          type: 'finish',
+                          finishReason: 'tool-calls',
+                          usage: testUsage,
+                        });
+                        controller.close();
+                        break;
+                    }
+                  } else
+                    switch (pullCalls++) {
+                      case 0:
+                        controller.enqueue({
+                          type: 'stream-start',
+                          warnings: [],
+                        });
+                        break;
+                      case 1:
+                        controller.enqueue({
+                          type: 'text-start',
+                          id: '1',
+                        });
+                        break;
+                      case 2:
+                        controller.enqueue({
+                          type: 'text-delta',
+                          id: '1',
+                          delta: 'Hello',
+                        });
+                        break;
+                      case 3:
+                        abortController.abort();
+                        controller.error(
+                          new DOMException(
+                            'The user aborted a request.',
+                            'AbortError',
+                          ),
+                        );
+                        break;
+                    }
+                },
+              }),
+            }),
+          }),
+          tools: {
+            tool1: {
+              inputSchema: z.object({ value: z.string() }),
+              execute: async () => 'result1',
+            },
+          },
+          stopWhen: stepCountIs(3),
+          ...defaultSettings(),
+          onError: error => {
+            onErrorCalls.push({ error });
+          },
+        });
+      });
 
-      expect(capturedOptions.includeRawChunks).toBe(false);
-    });
-  });
+      it('should not call onError for abort errors', async () => {
+        await result.consumeStream();
+        expect(onErrorCalls).toMatchInlineSnapshot(`[]`);
+      });
 
-  describe('mixed multi content streaming with interleaving parts', () => {
-    describe('mixed text and reasoning blocks', () => {
-      let result: StreamTextResult<any, any>;
+      it('should call onAbort when the abort signal is triggered', async () => {
+        await result.consumeStream();
+        expect(onAbortCalls).toMatchInlineSnapshot(`
+          [
+            {
+              "steps": [
+                DefaultStepResult {
+                  "content": [
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "providerExecuted": undefined,
+                      "providerMetadata": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-call",
+                    },
+                    {
+                      "input": {
+                        "value": "value",
+                      },
+                      "output": "result1",
+                      "providerExecuted": undefined,
+                      "providerMetadata": undefined,
+                      "toolCallId": "call-1",
+                      "toolName": "tool1",
+                      "type": "tool-result",
+                    },
+                  ],
+                  "finishReason": "tool-calls",
+                  "providerMetadata": undefined,
+                  "request": {},
+                  "response": {
+                    "headers": undefined,
+                    "id": "id-0",
+                    "messages": [
+                      {
+                        "content": [
+                          {
+                            "input": {
+                              "value": "value",
+                            },
+                            "providerExecuted": undefined,
+                            "providerOptions": undefined,
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-call",
+                          },
+                        ],
+                        "role": "assistant",
+                      },
+                      {
+                        "content": [
+                          {
+                            "output": {
+                              "type": "text",
+                              "value": "result1",
+                            },
+                            "toolCallId": "call-1",
+                            "toolName": "tool1",
+                            "type": "tool-result",
+                          },
+                        ],
+                        "role": "tool",
+                      },
+                    ],
+                    "modelId": "mock-model-id",
+                    "timestamp": 1970-01-01T00:00:00.000Z,
+                  },
+                  "usage": {
+                    "cachedInputTokens": undefined,
+                    "inputTokens": 3,
+                    "outputTokens": 10,
+                    "reasoningTokens": undefined,
+                    "totalTokens": 13,
+                  },
+                  "warnings": [],
+                },
+              ],
+            },
+          ]
+        `);
+      });
 
-      beforeEach(async () => {
-        result = streamText({
-          model: createTestModel({
-            stream: convertArrayToReadableStream([
-              { type: 'stream-start', warnings: [] },
-              { type: 'reasoning-start', id: '0' },
-              { type: 'text-start', id: '1' },
-              { type: 'reasoning-delta', id: '0', delta: 'Thinking...' },
-              { type: 'text-delta', id: '1', delta: 'Hello' },
-              { type: 'text-delta', id: '1', delta: ', ' },
-              { type: 'text-start', id: '2' },
-              { type: 'text-delta', id: '2', delta: `This ` },
-              { type: 'text-delta', id: '2', delta: `is ` },
-              { type: 'reasoning-start', id: '3' },
-              { type: 'reasoning-delta', id: '0', delta: `I'm thinking...` },
-              { type: 'reasoning-delta', id: '3', delta: `Separate thoughts` },
-              { type: 'text-delta', id: '2', delta: `a` },
-              { type: 'text-delta', id: '1', delta: `world!` },
-              { type: 'reasoning-end', id: '0' },
-              { type: 'text-delta', id: '2', delta: ` test.` },
-              { type: 'text-end', id: '2' },
-              { type: 'reasoning-end', id: '3' },
-              { type: 'text-end', id: '1' },
+      it('should only stream initial chunks in full stream', async () => {
+        expect(await convertAsyncIterableToArray(result.fullStream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "start",
+              },
+              {
+                "request": {},
+                "type": "start-step",
+                "warnings": [],
+              },
+              {
+                "input": {
+                  "value": "value",
+                },
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-call",
+              },
+              {
+                "input": {
+                  "value": "value",
+                },
+                "output": "result1",
+                "providerExecuted": undefined,
+                "providerMetadata": undefined,
+                "toolCallId": "call-1",
+                "toolName": "tool1",
+                "type": "tool-result",
+              },
+              {
+                "finishReason": "tool-calls",
+                "providerMetadata": undefined,
+                "response": {
+                  "headers": undefined,
+                  "id": "id-0",
+                  "modelId": "mock-model-id",
+                  "timestamp": 1970-01-01T00:00:00.000Z,
+                },
+                "type": "finish-step",
+                "usage": {
+                  "cachedInputTokens": undefined,
+                  "inputTokens": 3,
+                  "outputTokens": 10,
+                  "reasoningTokens": undefined,
+                  "totalTokens": 13,
+                },
+              },
               {
-                type: 'finish',
-                finishReason: 'stop',
-                usage: testUsage,
+                "request": {},
+                "type": "start-step",
+                "warnings": [],
               },
-            ]),
-          }),
-          prompt: 'test-input',
-          _internal: {
-            currentDate: mockValues(new Date(2000)),
-            generateId: mockId(),
-          },
-        });
+              {
+                "id": "1",
+                "type": "text-start",
+              },
+              {
+                "id": "1",
+                "providerMetadata": undefined,
+                "text": "Hello",
+                "type": "text-delta",
+              },
+              {
+                "type": "abort",
+              },
+            ]
+          `);
       });
 
-      it('should return the full stream with the correct parts', async () => {
-        expect(await convertAsyncIterableToArray(result.fullStream))
+      it('should sent an abort chunk in the ui message stream', async () => {
+        expect(await convertAsyncIterableToArray(result.toUIMessageStream()))
           .toMatchInlineSnapshot(`
           [
             {
               "type": "start",
             },
             {
-              "request": {},
               "type": "start-step",
-              "warnings": [],
-            },
-            {
-              "id": "0",
-              "type": "reasoning-start",
-            },
-            {
-              "id": "1",
-              "type": "text-start",
-            },
-            {
-              "id": "0",
-              "providerMetadata": undefined,
-              "text": "Thinking...",
-              "type": "reasoning",
-            },
-            {
-              "id": "1",
-              "providerMetadata": undefined,
-              "text": "Hello",
-              "type": "text",
-            },
-            {
-              "id": "1",
-              "providerMetadata": undefined,
-              "text": ", ",
-              "type": "text",
-            },
-            {
-              "id": "2",
-              "type": "text-start",
-            },
-            {
-              "id": "2",
-              "providerMetadata": undefined,
-              "text": "This ",
-              "type": "text",
             },
             {
-              "id": "2",
+              "input": {
+                "value": "value",
+              },
+              "providerExecuted": undefined,
               "providerMetadata": undefined,
-              "text": "is ",
-              "type": "text",
-            },
-            {
-              "id": "3",
-              "type": "reasoning-start",
+              "toolCallId": "call-1",
+              "toolName": "tool1",
+              "type": "tool-input-available",
             },
             {
-              "id": "0",
-              "providerMetadata": undefined,
-              "text": "I'm thinking...",
-              "type": "reasoning",
+              "output": "result1",
+              "providerExecuted": undefined,
+              "toolCallId": "call-1",
+              "type": "tool-output-available",
             },
             {
-              "id": "3",
-              "providerMetadata": undefined,
-              "text": "Separate thoughts",
-              "type": "reasoning",
+              "type": "finish-step",
             },
             {
-              "id": "2",
-              "providerMetadata": undefined,
-              "text": "a",
-              "type": "text",
+              "type": "start-step",
             },
             {
               "id": "1",
-              "providerMetadata": undefined,
-              "text": "world!",
-              "type": "text",
-            },
-            {
-              "id": "0",
-              "type": "reasoning-end",
-            },
-            {
-              "id": "2",
-              "providerMetadata": undefined,
-              "text": " test.",
-              "type": "text",
-            },
-            {
-              "id": "2",
-              "type": "text-end",
-            },
-            {
-              "id": "3",
-              "type": "reasoning-end",
+              "type": "text-start",
             },
             {
+              "delta": "Hello",
               "id": "1",
-              "type": "text-end",
-            },
-            {
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "response": {
-                "headers": undefined,
-                "id": "id-0",
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:02.000Z,
-              },
-              "type": "finish-step",
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
-              },
-            },
-            {
-              "finishReason": "stop",
-              "totalUsage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
-              },
-              "type": "finish",
-            },
-          ]
-        `);
-      });
-
-      it('should return the content parts in the correct order', async () => {
-        await result.consumeStream();
-
-        expect(await result.content).toMatchInlineSnapshot(`
-          [
-            {
-              "providerMetadata": undefined,
-              "text": "Thinking...I'm thinking...",
-              "type": "reasoning",
-            },
-            {
-              "providerMetadata": undefined,
-              "text": "Hello, world!",
-              "type": "text",
-            },
-            {
-              "providerMetadata": undefined,
-              "text": "This is a test.",
-              "type": "text",
+              "type": "text-delta",
             },
             {
-              "providerMetadata": undefined,
-              "text": "Separate thoughts",
-              "type": "reasoning",
-            },
-          ]
-        `);
-      });
-
-      it('should return the step content parts in the correct order', async () => {
-        await result.consumeStream();
-
-        expect(await result.steps).toMatchInlineSnapshot(`
-          [
-            DefaultStepResult {
-              "content": [
-                {
-                  "providerMetadata": undefined,
-                  "text": "Thinking...I'm thinking...",
-                  "type": "reasoning",
-                },
-                {
-                  "providerMetadata": undefined,
-                  "text": "Hello, world!",
-                  "type": "text",
-                },
-                {
-                  "providerMetadata": undefined,
-                  "text": "This is a test.",
-                  "type": "text",
-                },
-                {
-                  "providerMetadata": undefined,
-                  "text": "Separate thoughts",
-                  "type": "reasoning",
-                },
-              ],
-              "finishReason": "stop",
-              "providerMetadata": undefined,
-              "request": {},
-              "response": {
-                "headers": undefined,
-                "id": "id-0",
-                "messages": [
-                  {
-                    "content": [
-                      {
-                        "providerOptions": undefined,
-                        "text": "Thinking...I'm thinking...",
-                        "type": "reasoning",
-                      },
-                      {
-                        "providerMetadata": undefined,
-                        "text": "Hello, world!",
-                        "type": "text",
-                      },
-                      {
-                        "providerMetadata": undefined,
-                        "text": "This is a test.",
-                        "type": "text",
-                      },
-                      {
-                        "providerOptions": undefined,
-                        "text": "Separate thoughts",
-                        "type": "reasoning",
-                      },
-                    ],
-                    "role": "assistant",
-                  },
-                ],
-                "modelId": "mock-model-id",
-                "timestamp": 1970-01-01T00:00:02.000Z,
-              },
-              "usage": {
-                "cachedInputTokens": undefined,
-                "inputTokens": 3,
-                "outputTokens": 10,
-                "reasoningTokens": undefined,
-                "totalTokens": 13,
-              },
-              "warnings": [],
+              "type": "abort",
             },
           ]
         `);
diff --git a/packages/ai/core/generate-text/stream-text.ts b/packages/ai/src/generate-text/stream-text.ts
similarity index 91%
rename from packages/ai/core/generate-text/stream-text.ts
rename to packages/ai/src/generate-text/stream-text.ts
index cdd375219144..4cd27e64dac2 100644
--- a/packages/ai/core/generate-text/stream-text.ts
+++ b/packages/ai/src/generate-text/stream-text.ts
@@ -6,6 +6,7 @@ import {
 import {
   createIdGenerator,
   IdGenerator,
+  isAbortError,
   ProviderOptions,
 } from '@ai-sdk/provider-utils';
 import { Span } from '@opentelemetry/api';
@@ -19,9 +20,9 @@ import { getResponseUIMessageId } from '../../src/ui-message-stream/get-response
 import { handleUIMessageStreamFinish } from '../../src/ui-message-stream/handle-ui-message-stream-finish';
 import { pipeUIMessageStreamToResponse } from '../../src/ui-message-stream/pipe-ui-message-stream-to-response';
 import {
-  InferUIMessageStreamPart,
-  UIMessageStreamPart,
-} from '../../src/ui-message-stream/ui-message-stream-parts';
+  InferUIMessageChunk,
+  UIMessageChunk,
+} from '../../src/ui-message-stream/ui-message-chunks';
 import { UIMessageStreamResponseInit } from '../../src/ui-message-stream/ui-message-stream-response-init';
 import {
   InferUIMessageData,
@@ -61,6 +62,7 @@ import {
 } from '../types/language-model';
 import { ProviderMetadata } from '../types/provider-metadata';
 import { addLanguageModelUsage, LanguageModelUsage } from '../types/usage';
+import { filterStreamErrors } from '../util/filter-stream-errors';
 import { ContentPart } from './content-part';
 import { Output } from './output';
 import { PrepareStepFunction } from './prepare-step';
@@ -110,7 +112,7 @@ Callback that is set using the `onError` option.
  */
 export type StreamTextOnErrorCallback = (event: {
   error: unknown;
-}) => Promise<void> | void;
+}) => PromiseLike<void> | void;
 
 /**
 Callback that is set using the `onStepFinish` option.
@@ -119,7 +121,7 @@ Callback that is set using the `onStepFinish` option.
  */
 export type StreamTextOnStepFinishCallback<TOOLS extends ToolSet> = (
   stepResult: StepResult<TOOLS>,
-) => Promise<void> | void;
+) => PromiseLike<void> | void;
 
 /**
 Callback that is set using the `onChunk` option.
@@ -131,8 +133,8 @@ export type StreamTextOnChunkCallback<TOOLS extends ToolSet> = (event: {
     TextStreamPart<TOOLS>,
     {
       type:
-        | 'text'
-        | 'reasoning'
+        | 'text-delta'
+        | 'reasoning-delta'
         | 'source'
         | 'tool-call'
         | 'tool-input-start'
@@ -141,7 +143,7 @@ export type StreamTextOnChunkCallback<TOOLS extends ToolSet> = (event: {
         | 'raw';
     }
   >;
-}) => Promise<void> | void;
+}) => PromiseLike<void> | void;
 
 /**
 Callback that is set using the `onFinish` option.
@@ -160,7 +162,19 @@ Total usage for all steps. This is the sum of the usage of all steps.
      */
     readonly totalUsage: LanguageModelUsage;
   },
-) => Promise<void> | void;
+) => PromiseLike<void> | void;
+
+/**
+Callback that is set using the `onAbort` option.
+
+@param event - The event that is passed to the callback.
+ */
+export type StreamTextOnAbortCallback<TOOLS extends ToolSet> = (event: {
+  /**
+Details for all previously finished steps.
+   */
+  readonly steps: StepResult<TOOLS>[];
+}) => PromiseLike<void> | void;
 
 /**
 Generate a text and call tools for a given prompt using a language model.
@@ -239,6 +253,7 @@ export function streamText<
     console.error(error);
   },
   onFinish,
+  onAbort,
   onStepFinish,
   _internal: {
     now = originalNow,
@@ -357,6 +372,8 @@ The usage is the combined usage of all steps.
      */
     onFinish?: StreamTextOnFinishCallback<TOOLS>;
 
+    onAbort?: StreamTextOnAbortCallback<TOOLS>;
+
     /**
 Callback that is called when each step (LLM call) is finished, including intermediate steps.
     */
@@ -394,6 +411,7 @@ Internal. For test use only. May change without notice.
     onChunk,
     onError,
     onFinish,
+    onAbort,
     onStepFinish,
     now,
     currentDate,
@@ -443,7 +461,7 @@ function createOutputTransformStream<
   }) {
     controller.enqueue({
       part: {
-        type: 'text',
+        type: 'text-delta',
         id: firstTextChunkId!,
         text: textChunk,
       },
@@ -463,7 +481,7 @@ function createOutputTransformStream<
       }
 
       if (
-        chunk.type !== 'text' &&
+        chunk.type !== 'text-delta' &&
         chunk.type !== 'text-start' &&
         chunk.type !== 'text-end'
       ) {
@@ -535,8 +553,6 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
 
   private includeRawChunks: boolean;
 
-  private generateId: () => string;
-
   constructor({
     model,
     telemetry,
@@ -563,6 +579,7 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
     onChunk,
     onError,
     onFinish,
+    onAbort,
     onStepFinish,
   }: {
     model: LanguageModelV2;
@@ -592,11 +609,11 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
     onChunk: undefined | StreamTextOnChunkCallback<TOOLS>;
     onError: StreamTextOnErrorCallback;
     onFinish: undefined | StreamTextOnFinishCallback<TOOLS>;
+    onAbort: undefined | StreamTextOnAbortCallback<TOOLS>;
     onStepFinish: undefined | StreamTextOnStepFinishCallback<TOOLS>;
   }) {
     this.output = output;
     this.includeRawChunks = includeRawChunks;
-    this.generateId = generateId;
 
     // promise to ensure that the step has been fully processed by the event processor
     // before a new step is started. This is required because the continuation condition
@@ -641,8 +658,8 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
         const { part } = chunk;
 
         if (
-          part.type === 'text' ||
-          part.type === 'reasoning' ||
+          part.type === 'text-delta' ||
+          part.type === 'reasoning-delta' ||
           part.type === 'source' ||
           part.type === 'tool-call' ||
           part.type === 'tool-result' ||
@@ -667,7 +684,7 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
           recordedContent.push(activeTextContent[part.id]);
         }
 
-        if (part.type === 'text') {
+        if (part.type === 'text-delta') {
           const activeText = activeTextContent[part.id];
 
           if (activeText == null) {
@@ -682,7 +699,8 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
           }
 
           activeText.text += part.text;
-          activeText.providerMetadata = part.providerMetadata;
+          activeText.providerMetadata =
+            part.providerMetadata ?? activeText.providerMetadata;
         }
 
         if (part.type === 'text-end') {
@@ -699,7 +717,7 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
           recordedContent.push(activeReasoningContent[part.id]);
         }
 
-        if (part.type === 'reasoning') {
+        if (part.type === 'reasoning-delta') {
           const activeReasoning = activeReasoningContent[part.id];
 
           if (activeReasoning == null) {
@@ -859,6 +877,9 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
                       ? JSON.stringify(finalStep.toolCalls)
                       : undefined,
                 },
+                'ai.response.providerMetadata': JSON.stringify(
+                  finalStep.providerMetadata,
+                ),
 
                 'ai.usage.inputTokens': totalUsage.inputTokens,
                 'ai.usage.outputTokens': totalUsage.outputTokens,
@@ -883,6 +904,17 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
 
     let stream = stitchableStream.stream;
 
+    // filter out abort errors:
+    stream = filterStreamErrors(stream, ({ error, controller }) => {
+      if (isAbortError(error) && abortSignal?.aborted) {
+        onAbort?.({ steps: recordedSteps });
+        controller.enqueue({ type: 'abort' });
+        controller.close();
+      } else {
+        controller.error(error);
+      }
+    });
+
     // add a stream that emits a start event:
     stream = stream.pipeThrough(
       new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({
@@ -972,12 +1004,13 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
             model,
             steps: recordedSteps,
             stepNumber: recordedSteps.length,
+            messages: stepInputMessages,
           });
 
           const promptMessages = await convertToLanguageModelPrompt({
             prompt: {
               system: prepareStepResult?.system ?? initialPrompt.system,
-              messages: stepInputMessages,
+              messages: prepareStepResult?.messages ?? stepInputMessages,
             },
             supportedUrls: await model.supportedUrls,
           });
@@ -1142,7 +1175,7 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
                     case 'text-delta': {
                       if (chunk.delta.length > 0) {
                         controller.enqueue({
-                          type: 'text',
+                          type: 'text-delta',
                           id: chunk.id,
                           text: chunk.delta,
                           providerMetadata: chunk.providerMetadata,
@@ -1160,7 +1193,7 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
 
                     case 'reasoning-delta': {
                       controller.enqueue({
-                        type: 'reasoning',
+                        type: 'reasoning-delta',
                         id: chunk.id,
                         text: chunk.delta,
                         providerMetadata: chunk.providerMetadata,
@@ -1309,6 +1342,8 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
                           'ai.response.model': stepResponse.modelId,
                           'ai.response.timestamp':
                             stepResponse.timestamp.toISOString(),
+                          'ai.response.providerMetadata':
+                            JSON.stringify(stepProviderMetadata),
 
                           'ai.usage.inputTokens': stepUsage.inputTokens,
                           'ai.usage.outputTokens': stepUsage.outputTokens,
@@ -1377,11 +1412,20 @@ class DefaultStreamTextResult<TOOLS extends ToolSet, OUTPUT, PARTIAL_OUTPUT>
                       }),
                     );
 
-                    await streamStep({
-                      currentStep: currentStep + 1,
-                      responseMessages,
-                      usage: combinedUsage,
-                    });
+                    try {
+                      await streamStep({
+                        currentStep: currentStep + 1,
+                        responseMessages,
+                        usage: combinedUsage,
+                      });
+                    } catch (error) {
+                      controller.enqueue({
+                        type: 'error',
+                        error,
+                      });
+
+                      self.closeStream();
+                    }
                   } else {
                     controller.enqueue({
                       type: 'finish',
@@ -1509,7 +1553,7 @@ However, the LLM results are expected to be small enough to not cause issues.
       this.teeStream().pipeThrough(
         new TransformStream<EnrichedStreamPart<TOOLS, PARTIAL_OUTPUT>, string>({
           transform({ part }, controller) {
-            if (part.type === 'text') {
+            if (part.type === 'text-delta') {
               controller.enqueue(part.text);
             }
           },
@@ -1567,6 +1611,7 @@ However, the LLM results are expected to be small enough to not cause issues.
 
   toUIMessageStream<UI_MESSAGE extends UIMessage>({
     originalMessages,
+    generateMessageId,
     onFinish,
     messageMetadata,
     sendReasoning = true,
@@ -1574,18 +1619,21 @@ However, the LLM results are expected to be small enough to not cause issues.
     sendStart = true,
     sendFinish = true,
     onError = getErrorMessage,
-  }: UIMessageStreamOptions<UI_MESSAGE> = {}): ReadableStream<
-    InferUIMessageStreamPart<UI_MESSAGE>
+  }: UIMessageStreamOptions<UI_MESSAGE> = {}): AsyncIterableStream<
+    InferUIMessageChunk<UI_MESSAGE>
   > {
-    const responseMessageId = getResponseUIMessageId({
-      originalMessages,
-      responseMessageId: this.generateId,
-    });
+    const responseMessageId =
+      generateMessageId != null
+        ? getResponseUIMessageId({
+            originalMessages,
+            responseMessageId: generateMessageId,
+          })
+        : undefined;
 
     const baseStream = this.fullStream.pipeThrough(
       new TransformStream<
         TextStreamPart<TOOLS>,
-        UIMessageStreamPart<
+        UIMessageChunk<
           InferUIMessageMetadata<UI_MESSAGE>,
           InferUIMessageData<UI_MESSAGE>
         >
@@ -1596,21 +1644,36 @@ However, the LLM results are expected to be small enough to not cause issues.
           const partType = part.type;
           switch (partType) {
             case 'text-start': {
-              controller.enqueue({ type: 'text-start', id: part.id });
+              controller.enqueue({
+                type: 'text-start',
+                id: part.id,
+                ...(part.providerMetadata != null
+                  ? { providerMetadata: part.providerMetadata }
+                  : {}),
+              });
               break;
             }
 
-            case 'text': {
+            case 'text-delta': {
               controller.enqueue({
                 type: 'text-delta',
                 id: part.id,
                 delta: part.text,
+                ...(part.providerMetadata != null
+                  ? { providerMetadata: part.providerMetadata }
+                  : {}),
               });
               break;
             }
 
             case 'text-end': {
-              controller.enqueue({ type: 'text-end', id: part.id });
+              controller.enqueue({
+                type: 'text-end',
+                id: part.id,
+                ...(part.providerMetadata != null
+                  ? { providerMetadata: part.providerMetadata }
+                  : {}),
+              });
               break;
             }
 
@@ -1618,18 +1681,22 @@ However, the LLM results are expected to be small enough to not cause issues.
               controller.enqueue({
                 type: 'reasoning-start',
                 id: part.id,
-                providerMetadata: part.providerMetadata,
+                ...(part.providerMetadata != null
+                  ? { providerMetadata: part.providerMetadata }
+                  : {}),
               });
               break;
             }
 
-            case 'reasoning': {
+            case 'reasoning-delta': {
               if (sendReasoning) {
                 controller.enqueue({
                   type: 'reasoning-delta',
                   id: part.id,
                   delta: part.text,
-                  providerMetadata: part.providerMetadata,
+                  ...(part.providerMetadata != null
+                    ? { providerMetadata: part.providerMetadata }
+                    : {}),
                 });
               }
               break;
@@ -1639,7 +1706,9 @@ However, the LLM results are expected to be small enough to not cause issues.
               controller.enqueue({
                 type: 'reasoning-end',
                 id: part.id,
-                providerMetadata: part.providerMetadata,
+                ...(part.providerMetadata != null
+                  ? { providerMetadata: part.providerMetadata }
+                  : {}),
               });
               break;
             }
@@ -1660,7 +1729,9 @@ However, the LLM results are expected to be small enough to not cause issues.
                   sourceId: part.id,
                   url: part.url,
                   title: part.title,
-                  providerMetadata: part.providerMetadata,
+                  ...(part.providerMetadata != null
+                    ? { providerMetadata: part.providerMetadata }
+                    : {}),
                 });
               }
 
@@ -1671,7 +1742,9 @@ However, the LLM results are expected to be small enough to not cause issues.
                   mediaType: part.mediaType,
                   title: part.title,
                   filename: part.filename,
-                  providerMetadata: part.providerMetadata,
+                  ...(part.providerMetadata != null
+                    ? { providerMetadata: part.providerMetadata }
+                    : {}),
                 });
               }
               break;
@@ -1703,6 +1776,7 @@ However, the LLM results are expected to be small enough to not cause issues.
                 toolName: part.toolName,
                 input: part.input,
                 providerExecuted: part.providerExecuted,
+                providerMetadata: part.providerMetadata,
               });
               break;
             }
@@ -1749,8 +1823,12 @@ However, the LLM results are expected to be small enough to not cause issues.
               if (sendStart) {
                 controller.enqueue({
                   type: 'start',
-                  messageId: responseMessageId,
-                  messageMetadata: messageMetadataValue,
+                  ...(messageMetadataValue != null
+                    ? { messageMetadata: messageMetadataValue }
+                    : {}),
+                  ...(responseMessageId != null
+                    ? { messageId: responseMessageId }
+                    : {}),
                 });
               }
               break;
@@ -1760,12 +1838,19 @@ However, the LLM results are expected to be small enough to not cause issues.
               if (sendFinish) {
                 controller.enqueue({
                   type: 'finish',
-                  messageMetadata: messageMetadataValue,
+                  ...(messageMetadataValue != null
+                    ? { messageMetadata: messageMetadataValue }
+                    : {}),
                 });
               }
               break;
             }
 
+            case 'abort': {
+              controller.enqueue(part);
+              break;
+            }
+
             case 'tool-input-end': {
               break;
             }
@@ -1798,19 +1883,22 @@ However, the LLM results are expected to be small enough to not cause issues.
       }),
     );
 
-    return handleUIMessageStreamFinish<UI_MESSAGE>({
-      stream: baseStream,
-      messageId: responseMessageId ?? this.generateId(),
-      originalMessages,
-      onFinish,
-      onError,
-    });
+    return createAsyncIterableStream(
+      handleUIMessageStreamFinish<UI_MESSAGE>({
+        stream: baseStream,
+        messageId: responseMessageId ?? generateMessageId?.(),
+        originalMessages,
+        onFinish,
+        onError,
+      }),
+    );
   }
 
   pipeUIMessageStreamToResponse<UI_MESSAGE extends UIMessage>(
     response: ServerResponse,
     {
       originalMessages,
+      generateMessageId,
       onFinish,
       messageMetadata,
       sendReasoning,
@@ -1825,6 +1913,7 @@ However, the LLM results are expected to be small enough to not cause issues.
       response,
       stream: this.toUIMessageStream({
         originalMessages,
+        generateMessageId,
         onFinish,
         messageMetadata,
         sendReasoning,
@@ -1847,6 +1936,7 @@ However, the LLM results are expected to be small enough to not cause issues.
 
   toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>({
     originalMessages,
+    generateMessageId,
     onFinish,
     messageMetadata,
     sendReasoning,
@@ -1860,6 +1950,7 @@ However, the LLM results are expected to be small enough to not cause issues.
     return createUIMessageStreamResponse({
       stream: this.toUIMessageStream({
         originalMessages,
+        generateMessageId,
         onFinish,
         messageMetadata,
         sendReasoning,
diff --git a/packages/ai/core/generate-text/to-response-messages.test.ts b/packages/ai/src/generate-text/to-response-messages.test.ts
similarity index 81%
rename from packages/ai/core/generate-text/to-response-messages.test.ts
rename to packages/ai/src/generate-text/to-response-messages.test.ts
index 2c0f59bd3de8..87cc3d79b464 100644
--- a/packages/ai/core/generate-text/to-response-messages.test.ts
+++ b/packages/ai/src/generate-text/to-response-messages.test.ts
@@ -66,6 +66,61 @@ describe('toResponseMessages', () => {
     ]);
   });
 
+  it('should include tool calls with metadata in the assistant message', () => {
+    const result = toResponseMessages({
+      content: [
+        {
+          type: 'text',
+          text: 'Using a tool',
+        },
+        {
+          type: 'tool-call',
+          toolCallId: '123',
+          toolName: 'testTool',
+          input: {},
+          providerMetadata: {
+            testProvider: {
+              signature: 'sig',
+            },
+          },
+        },
+      ],
+      tools: {
+        testTool: tool({
+          description: 'A test tool',
+          inputSchema: z.object({}),
+        }),
+      },
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      [
+        {
+          "content": [
+            {
+              "providerOptions": undefined,
+              "text": "Using a tool",
+              "type": "text",
+            },
+            {
+              "input": {},
+              "providerExecuted": undefined,
+              "providerOptions": {
+                "testProvider": {
+                  "signature": "sig",
+                },
+              },
+              "toolCallId": "123",
+              "toolName": "testTool",
+              "type": "tool-call",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+  });
+
   it('should include tool results as a separate message', () => {
     const result = toResponseMessages({
       content: [
@@ -100,12 +155,14 @@ describe('toResponseMessages', () => {
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Tool used",
               "type": "text",
             },
             {
               "input": {},
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "123",
               "toolName": "testTool",
               "type": "tool-call",
@@ -165,12 +222,14 @@ describe('toResponseMessages', () => {
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "Tool used",
               "type": "text",
             },
             {
               "input": {},
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "123",
               "toolName": "testTool",
               "type": "tool-call",
@@ -280,6 +339,7 @@ describe('toResponseMessages', () => {
               "type": "reasoning",
             },
             {
+              "providerOptions": undefined,
               "text": "Final text",
               "type": "text",
             },
@@ -330,12 +390,14 @@ describe('toResponseMessages', () => {
         {
           "content": [
             {
+              "providerOptions": undefined,
               "text": "multipart tool result",
               "type": "text",
             },
             {
               "input": {},
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "123",
               "toolName": "testTool",
               "type": "tool-call",
@@ -384,8 +446,17 @@ describe('toResponseMessages', () => {
       {
         role: 'assistant',
         content: [
-          { type: 'text', text: 'Here is an image' },
-          { type: 'file', data: pngFile.base64, mediaType: pngFile.mediaType },
+          {
+            type: 'text',
+            text: 'Here is an image',
+            providerOptions: undefined,
+          },
+          {
+            type: 'file',
+            data: pngFile.base64,
+            mediaType: pngFile.mediaType,
+            providerOptions: undefined,
+          },
         ],
       },
     ]);
@@ -417,12 +488,22 @@ describe('toResponseMessages', () => {
       {
         role: 'assistant',
         content: [
-          { type: 'text', text: 'Here are multiple images' },
-          { type: 'file', data: pngFile.base64, mediaType: pngFile.mediaType },
+          {
+            type: 'text',
+            text: 'Here are multiple images',
+            providerOptions: undefined,
+          },
+          {
+            type: 'file',
+            data: pngFile.base64,
+            mediaType: pngFile.mediaType,
+            providerOptions: undefined,
+          },
           {
             type: 'file',
             data: jpegFile.base64,
             mediaType: jpegFile.mediaType,
+            providerOptions: undefined,
           },
         ],
       },
@@ -450,8 +531,17 @@ describe('toResponseMessages', () => {
       {
         role: 'assistant',
         content: [
-          { type: 'text', text: 'Here is a binary image' },
-          { type: 'file', data: pngFile.base64, mediaType: pngFile.mediaType },
+          {
+            type: 'text',
+            text: 'Here is a binary image',
+            providerOptions: undefined,
+          },
+          {
+            type: 'file',
+            data: pngFile.base64,
+            mediaType: pngFile.mediaType,
+            providerOptions: undefined,
+          },
         ],
       },
     ]);
@@ -506,15 +596,18 @@ describe('toResponseMessages', () => {
             {
               "data": "iVBORw0KGgo=",
               "mediaType": "image/png",
+              "providerOptions": undefined,
               "type": "file",
             },
             {
+              "providerOptions": undefined,
               "text": "Combined response",
               "type": "text",
             },
             {
               "input": {},
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "123",
               "toolName": "testTool",
               "type": "tool-call",
@@ -555,6 +648,7 @@ describe('toResponseMessages', () => {
             {
               "input": {},
               "providerExecuted": undefined,
+              "providerOptions": undefined,
               "toolCallId": "123",
               "toolName": "testTool",
               "type": "tool-call",
@@ -632,6 +726,7 @@ describe('toResponseMessages', () => {
           {
             "content": [
               {
+                "providerOptions": undefined,
                 "text": "Let me search for recent news from San Francisco.",
                 "type": "text",
               },
@@ -640,6 +735,7 @@ describe('toResponseMessages', () => {
                   "query": "San Francisco major news events June 22 2025",
                 },
                 "providerExecuted": true,
+                "providerOptions": undefined,
                 "toolCallId": "srvtoolu_011cNtbtzFARKPcAcp7w4nh9",
                 "toolName": "web_search",
                 "type": "tool-call",
@@ -654,11 +750,13 @@ describe('toResponseMessages', () => {
                   ],
                 },
                 "providerExecuted": true,
+                "providerOptions": undefined,
                 "toolCallId": "srvtoolu_011cNtbtzFARKPcAcp7w4nh9",
                 "toolName": "web_search",
                 "type": "tool-result",
               },
               {
+                "providerOptions": undefined,
                 "text": "Based on the search results, several significant events took place in San Francisco yesterday (June 22, 2025). Here are the main highlights:
 
         1. Juneteenth Celebration:
@@ -672,4 +770,36 @@ describe('toResponseMessages', () => {
       `);
     });
   });
+
+  it('should include provider metadata in the text parts', () => {
+    const result = toResponseMessages({
+      content: [
+        {
+          type: 'text',
+          text: 'Here is a text',
+          providerMetadata: { testProvider: { signature: 'sig' } },
+        },
+      ],
+      tools: {},
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      [
+        {
+          "content": [
+            {
+              "providerOptions": {
+                "testProvider": {
+                  "signature": "sig",
+                },
+              },
+              "text": "Here is a text",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+  });
 });
diff --git a/packages/ai/core/generate-text/to-response-messages.ts b/packages/ai/src/generate-text/to-response-messages.ts
similarity index 90%
rename from packages/ai/core/generate-text/to-response-messages.ts
rename to packages/ai/src/generate-text/to-response-messages.ts
index 0733d9f0a5dc..f16ab0ebbdd0 100644
--- a/packages/ai/core/generate-text/to-response-messages.ts
+++ b/packages/ai/src/generate-text/to-response-messages.ts
@@ -1,4 +1,3 @@
-import { JSONValue } from '@ai-sdk/provider';
 import {
   AssistantContent,
   AssistantModelMessage,
@@ -32,7 +31,11 @@ export function toResponseMessages<TOOLS extends ToolSet>({
     .map(part => {
       switch (part.type) {
         case 'text':
-          return part;
+          return {
+            type: 'text',
+            text: part.text,
+            providerOptions: part.providerMetadata,
+          };
         case 'reasoning':
           return {
             type: 'reasoning',
@@ -44,6 +47,7 @@ export function toResponseMessages<TOOLS extends ToolSet>({
             type: 'file',
             data: part.file.base64,
             mediaType: part.file.mediaType,
+            providerOptions: part.providerMetadata,
           };
         case 'tool-call':
           return {
@@ -52,6 +56,7 @@ export function toResponseMessages<TOOLS extends ToolSet>({
             toolName: part.toolName,
             input: part.input,
             providerExecuted: part.providerExecuted,
+            providerOptions: part.providerMetadata,
           };
         case 'tool-result':
           return {
@@ -64,6 +69,7 @@ export function toResponseMessages<TOOLS extends ToolSet>({
               errorMode: 'none',
             }),
             providerExecuted: true,
+            providerOptions: part.providerMetadata,
           };
         case 'tool-error':
           return {
@@ -75,6 +81,7 @@ export function toResponseMessages<TOOLS extends ToolSet>({
               output: part.error,
               errorMode: 'json',
             }),
+            providerOptions: part.providerMetadata,
           };
       }
     });
diff --git a/packages/ai/core/generate-text/tool-call-repair-function.ts b/packages/ai/src/generate-text/tool-call-repair-function.ts
similarity index 100%
rename from packages/ai/core/generate-text/tool-call-repair-function.ts
rename to packages/ai/src/generate-text/tool-call-repair-function.ts
diff --git a/packages/ai/core/generate-text/tool-call.ts b/packages/ai/src/generate-text/tool-call.ts
similarity index 86%
rename from packages/ai/core/generate-text/tool-call.ts
rename to packages/ai/src/generate-text/tool-call.ts
index 22c2a7b63125..b03c0f805081 100644
--- a/packages/ai/core/generate-text/tool-call.ts
+++ b/packages/ai/src/generate-text/tool-call.ts
@@ -1,6 +1,7 @@
 import { Tool } from '@ai-sdk/provider-utils';
 import { ValueOf } from '../../src/util/value-of';
 import { ToolSet } from './tool-set';
+import { ProviderMetadata } from '../types';
 
 // transforms the tools into a tool call union
 export type ToolCallUnion<TOOLS extends ToolSet> = ValueOf<{
@@ -10,6 +11,7 @@ export type ToolCallUnion<TOOLS extends ToolSet> = ValueOf<{
     toolName: NAME & string;
     input: TOOLS[NAME] extends Tool<infer PARAMETERS> ? PARAMETERS : never;
     providerExecuted?: boolean;
+    providerMetadata?: ProviderMetadata;
   };
 }>;
 
diff --git a/packages/ai/core/generate-text/tool-output.ts b/packages/ai/src/generate-text/tool-output.ts
similarity index 100%
rename from packages/ai/core/generate-text/tool-output.ts
rename to packages/ai/src/generate-text/tool-output.ts
diff --git a/packages/ai/core/generate-text/tool-set.ts b/packages/ai/src/generate-text/tool-set.ts
similarity index 100%
rename from packages/ai/core/generate-text/tool-set.ts
rename to packages/ai/src/generate-text/tool-set.ts
diff --git a/packages/ai/src/index.ts b/packages/ai/src/index.ts
index 891ed2bf0f37..1fe3d72b2a5e 100644
--- a/packages/ai/src/index.ts
+++ b/packages/ai/src/index.ts
@@ -4,19 +4,31 @@ export {
   createIdGenerator,
   generateId,
   jsonSchema,
-  type Schema,
   type IdGenerator,
+  type Schema,
 } from '@ai-sdk/provider-utils';
 
 // directory exports
+export * from './agent';
+export * from './embed';
 export * from './error';
+export * from './generate-image';
+export * from './generate-object';
+export * from './generate-speech';
+export * from './generate-text';
+export * from './middleware';
+export * from './prompt';
+export * from './registry';
 export * from './text-stream';
+export * from './tool';
+export * from './transcribe';
+export * from './types';
 export * from './ui';
 export * from './ui-message-stream';
 export * from './util';
 
-// directory exports from /core
-export * from '../core/';
+// telemetry types:
+export type { TelemetrySettings } from './telemetry/telemetry-settings';
 
 // import globals
 import './global';
diff --git a/packages/ai/core/middleware/__snapshots__/simulate-streaming-middleware.test.ts.snap b/packages/ai/src/middleware/__snapshots__/simulate-streaming-middleware.test.ts.snap
similarity index 100%
rename from packages/ai/core/middleware/__snapshots__/simulate-streaming-middleware.test.ts.snap
rename to packages/ai/src/middleware/__snapshots__/simulate-streaming-middleware.test.ts.snap
diff --git a/packages/ai/core/middleware/default-settings-middleware.test.ts b/packages/ai/src/middleware/default-settings-middleware.test.ts
similarity index 100%
rename from packages/ai/core/middleware/default-settings-middleware.test.ts
rename to packages/ai/src/middleware/default-settings-middleware.test.ts
diff --git a/packages/ai/core/middleware/default-settings-middleware.ts b/packages/ai/src/middleware/default-settings-middleware.ts
similarity index 100%
rename from packages/ai/core/middleware/default-settings-middleware.ts
rename to packages/ai/src/middleware/default-settings-middleware.ts
diff --git a/packages/ai/core/middleware/extract-reasoning-middleware.test.ts b/packages/ai/src/middleware/extract-reasoning-middleware.test.ts
similarity index 87%
rename from packages/ai/core/middleware/extract-reasoning-middleware.test.ts
rename to packages/ai/src/middleware/extract-reasoning-middleware.test.ts
index 3874ba9f9f6a..fb64b0114989 100644
--- a/packages/ai/core/middleware/extract-reasoning-middleware.test.ts
+++ b/packages/ai/src/middleware/extract-reasoning-middleware.test.ts
@@ -244,13 +244,13 @@ describe('extractReasoningMiddleware', () => {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "ana",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "lyzing the request",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
@@ -260,13 +260,13 @@ describe('extractReasoningMiddleware', () => {
               "id": "1",
               "providerMetadata": undefined,
               "text": "Here",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "1",
               "providerMetadata": undefined,
               "text": " is the response",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "1",
@@ -365,7 +365,7 @@ describe('extractReasoningMiddleware', () => {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "analyzing the request",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
@@ -375,7 +375,7 @@ describe('extractReasoningMiddleware', () => {
               "id": "1",
               "providerMetadata": undefined,
               "text": "Here is the response",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "reasoning-1",
@@ -386,7 +386,7 @@ describe('extractReasoningMiddleware', () => {
               "providerMetadata": undefined,
               "text": "
           thinking about the response",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-1",
@@ -397,7 +397,7 @@ describe('extractReasoningMiddleware', () => {
               "providerMetadata": undefined,
               "text": "
           more",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "1",
@@ -494,14 +494,14 @@ describe('extractReasoningMiddleware', () => {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "ana",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "lyzing the request
           ",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
@@ -613,14 +613,14 @@ describe('extractReasoningMiddleware', () => {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "ana",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
               "providerMetadata": undefined,
               "text": "lyzing the request
           ",
-              "type": "reasoning",
+              "type": "reasoning-delta",
             },
             {
               "id": "reasoning-0",
@@ -630,7 +630,7 @@ describe('extractReasoningMiddleware', () => {
               "id": "1",
               "providerMetadata": undefined,
               "text": "this is the response",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "1",
@@ -683,46 +683,120 @@ describe('extractReasoningMiddleware', () => {
               "id": "1",
               "type": "text-start",
             },
-            {
-              "id": "reasoning-0",
-              "type": "reasoning-start",
-            },
             {
               "id": "1",
               "providerMetadata": undefined,
               "text": "ana",
-              "type": "text",
-            },
-            {
-              "id": "reasoning-0",
-              "type": "reasoning-start",
+              "type": "text-delta",
             },
             {
               "id": "1",
               "providerMetadata": undefined,
               "text": "lyzing the request
           ",
-              "type": "text",
+              "type": "text-delta",
             },
             {
-              "id": "reasoning-0",
-              "type": "reasoning-start",
+              "id": "1",
+              "providerMetadata": undefined,
+              "text": "</think>",
+              "type": "text-delta",
             },
             {
               "id": "1",
               "providerMetadata": undefined,
-              "text": "</think>",
-              "type": "text",
+              "text": "this is the response",
+              "type": "text-delta",
             },
             {
-              "id": "reasoning-0",
-              "type": "reasoning-start",
+              "id": "1",
+              "type": "text-end",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": undefined,
+              "response": {
+                "headers": undefined,
+                "id": "id-0",
+                "modelId": "mock-model-id",
+                "timestamp": 1970-01-01T00:00:00.000Z,
+              },
+              "type": "finish-step",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 5,
+                "outputTokens": 10,
+                "reasoningTokens": 3,
+                "totalTokens": 18,
+              },
+            },
+            {
+              "finishReason": "stop",
+              "totalUsage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 5,
+                "outputTokens": 10,
+                "reasoningTokens": 3,
+                "totalTokens": 18,
+              },
+              "type": "finish",
+            },
+          ]
+        `);
+    });
+
+    it('should keep original text when <think> tag is not present', async () => {
+      const mockModel = new MockLanguageModelV2({
+        async doStream() {
+          return {
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-start', id: '1' },
+              { type: 'text-delta', id: '1', delta: 'this is the response' },
+              { type: 'text-end', id: '1' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: testUsage,
+              },
+            ]),
+          };
+        },
+      });
+
+      const result = streamText({
+        model: wrapLanguageModel({
+          model: mockModel,
+          middleware: extractReasoningMiddleware({ tagName: 'think' }),
+        }),
+        prompt: 'Hello, how can I help?',
+      });
+
+      expect(await convertAsyncIterableToArray(result.fullStream))
+        .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "start",
+            },
+            {
+              "request": {},
+              "type": "start-step",
+              "warnings": [],
+            },
+            {
+              "id": "1",
+              "type": "text-start",
             },
             {
               "id": "1",
               "providerMetadata": undefined,
               "text": "this is the response",
-              "type": "text",
+              "type": "text-delta",
             },
             {
               "id": "1",
diff --git a/packages/ai/core/middleware/extract-reasoning-middleware.ts b/packages/ai/src/middleware/extract-reasoning-middleware.ts
similarity index 97%
rename from packages/ai/core/middleware/extract-reasoning-middleware.ts
rename to packages/ai/src/middleware/extract-reasoning-middleware.ts
index 6e4eaf8c87e1..37a272887ee9 100644
--- a/packages/ai/core/middleware/extract-reasoning-middleware.ts
+++ b/packages/ai/src/middleware/extract-reasoning-middleware.ts
@@ -133,9 +133,9 @@ export function extractReasoningMiddleware({
                       : '';
 
                   if (
-                    (activeExtraction.afterSwitch &&
-                      activeExtraction.isReasoning) ||
-                    activeExtraction.isFirstReasoning
+                    activeExtraction.isReasoning &&
+                    (activeExtraction.afterSwitch ||
+                      activeExtraction.isFirstReasoning)
                   ) {
                     controller.enqueue({
                       type: 'reasoning-start',
diff --git a/packages/ai/core/middleware/index.ts b/packages/ai/src/middleware/index.ts
similarity index 85%
rename from packages/ai/core/middleware/index.ts
rename to packages/ai/src/middleware/index.ts
index 20f564756148..ce5a989110db 100644
--- a/packages/ai/core/middleware/index.ts
+++ b/packages/ai/src/middleware/index.ts
@@ -2,3 +2,4 @@ export { defaultSettingsMiddleware } from './default-settings-middleware';
 export { extractReasoningMiddleware } from './extract-reasoning-middleware';
 export { simulateStreamingMiddleware } from './simulate-streaming-middleware';
 export { wrapLanguageModel } from './wrap-language-model';
+export { wrapProvider } from './wrap-provider';
diff --git a/packages/ai/core/middleware/simulate-streaming-middleware.test.ts b/packages/ai/src/middleware/simulate-streaming-middleware.test.ts
similarity index 52%
rename from packages/ai/core/middleware/simulate-streaming-middleware.test.ts
rename to packages/ai/src/middleware/simulate-streaming-middleware.test.ts
index 1db1993b3ff0..b8303160dc1d 100644
--- a/packages/ai/core/middleware/simulate-streaming-middleware.test.ts
+++ b/packages/ai/src/middleware/simulate-streaming-middleware.test.ts
@@ -49,60 +49,60 @@ describe('simulateStreamingMiddleware', () => {
 
     expect(await convertAsyncIterableToArray(result.fullStream))
       .toMatchInlineSnapshot(`
-      [
-        {
-          "type": "start",
-        },
-        {
-          "request": {},
-          "type": "start-step",
-          "warnings": [],
-        },
-        {
-          "id": "0",
-          "type": "text-start",
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "text": "This is a test response",
-          "type": "text",
-        },
-        {
-          "id": "0",
-          "type": "text-end",
-        },
-        {
-          "finishReason": "stop",
-          "providerMetadata": undefined,
-          "response": {
-            "headers": undefined,
-            "id": "id-0",
-            "modelId": "mock-model-id",
-            "timestamp": 2025-01-01T00:00:00.000Z,
-          },
-          "type": "finish-step",
-          "usage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
+        [
+          {
+            "type": "start",
           },
-        },
-        {
-          "finishReason": "stop",
-          "totalUsage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
-          },
-          "type": "finish",
-        },
-      ]
-    `);
+          {
+            "request": {},
+            "type": "start-step",
+            "warnings": [],
+          },
+          {
+            "id": "0",
+            "type": "text-start",
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "text": "This is a test response",
+            "type": "text-delta",
+          },
+          {
+            "id": "0",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": undefined,
+            "response": {
+              "headers": undefined,
+              "id": "id-0",
+              "modelId": "mock-model-id",
+              "timestamp": 2025-01-01T00:00:00.000Z,
+            },
+            "type": "finish-step",
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+          },
+          {
+            "finishReason": "stop",
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+            "type": "finish",
+          },
+        ]
+      `);
   });
 
   it('should simulate streaming with reasoning as string', async () => {
@@ -134,75 +134,75 @@ describe('simulateStreamingMiddleware', () => {
 
     expect(await convertAsyncIterableToArray(result.fullStream))
       .toMatchInlineSnapshot(`
-      [
-        {
-          "type": "start",
-        },
-        {
-          "request": {},
-          "type": "start-step",
-          "warnings": [],
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "type": "reasoning-start",
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "text": "This is the reasoning process",
-          "type": "reasoning",
-        },
-        {
-          "id": "0",
-          "type": "reasoning-end",
-        },
-        {
-          "id": "1",
-          "type": "text-start",
-        },
-        {
-          "id": "1",
-          "providerMetadata": undefined,
-          "text": "This is a test response",
-          "type": "text",
-        },
-        {
-          "id": "1",
-          "type": "text-end",
-        },
-        {
-          "finishReason": "stop",
-          "providerMetadata": undefined,
-          "response": {
-            "headers": undefined,
-            "id": "id-1",
-            "modelId": "mock-model-id",
-            "timestamp": 2025-01-01T00:00:00.000Z,
-          },
-          "type": "finish-step",
-          "usage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
+        [
+          {
+            "type": "start",
           },
-        },
-        {
-          "finishReason": "stop",
-          "totalUsage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
-          },
-          "type": "finish",
-        },
-      ]
-    `);
+          {
+            "request": {},
+            "type": "start-step",
+            "warnings": [],
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "type": "reasoning-start",
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "text": "This is the reasoning process",
+            "type": "reasoning-delta",
+          },
+          {
+            "id": "0",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "1",
+            "type": "text-start",
+          },
+          {
+            "id": "1",
+            "providerMetadata": undefined,
+            "text": "This is a test response",
+            "type": "text-delta",
+          },
+          {
+            "id": "1",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": undefined,
+            "response": {
+              "headers": undefined,
+              "id": "id-1",
+              "modelId": "mock-model-id",
+              "timestamp": 2025-01-01T00:00:00.000Z,
+            },
+            "type": "finish-step",
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+          },
+          {
+            "finishReason": "stop",
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+            "type": "finish",
+          },
+        ]
+      `);
   });
 
   it('should simulate streaming with reasoning as array of text objects', async () => {
@@ -246,109 +246,109 @@ describe('simulateStreamingMiddleware', () => {
 
     expect(await convertAsyncIterableToArray(result.fullStream))
       .toMatchInlineSnapshot(`
-      [
-        {
-          "type": "start",
-        },
-        {
-          "request": {},
-          "type": "start-step",
-          "warnings": [],
-        },
-        {
-          "id": "0",
-          "type": "text-start",
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "text": "This is a test response",
-          "type": "text",
-        },
-        {
-          "id": "0",
-          "type": "text-end",
-        },
-        {
-          "id": "1",
-          "providerMetadata": undefined,
-          "type": "reasoning-start",
-        },
-        {
-          "id": "1",
-          "providerMetadata": undefined,
-          "text": "First reasoning step",
-          "type": "reasoning",
-        },
-        {
-          "id": "1",
-          "type": "reasoning-end",
-        },
-        {
-          "id": "2",
-          "providerMetadata": undefined,
-          "type": "reasoning-start",
-        },
-        {
-          "id": "2",
-          "providerMetadata": undefined,
-          "text": "Second reasoning step",
-          "type": "reasoning",
-        },
-        {
-          "id": "2",
-          "type": "reasoning-end",
-        },
-        {
-          "id": "3",
-          "providerMetadata": {
-            "testProvider": {
-              "signature": "abc",
+        [
+          {
+            "type": "start",
+          },
+          {
+            "request": {},
+            "type": "start-step",
+            "warnings": [],
+          },
+          {
+            "id": "0",
+            "type": "text-start",
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "text": "This is a test response",
+            "type": "text-delta",
+          },
+          {
+            "id": "0",
+            "type": "text-end",
+          },
+          {
+            "id": "1",
+            "providerMetadata": undefined,
+            "type": "reasoning-start",
+          },
+          {
+            "id": "1",
+            "providerMetadata": undefined,
+            "text": "First reasoning step",
+            "type": "reasoning-delta",
+          },
+          {
+            "id": "1",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "2",
+            "providerMetadata": undefined,
+            "type": "reasoning-start",
+          },
+          {
+            "id": "2",
+            "providerMetadata": undefined,
+            "text": "Second reasoning step",
+            "type": "reasoning-delta",
+          },
+          {
+            "id": "2",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "3",
+            "providerMetadata": {
+              "testProvider": {
+                "signature": "abc",
+              },
             },
+            "type": "reasoning-start",
           },
-          "type": "reasoning-start",
-        },
-        {
-          "id": "3",
-          "providerMetadata": undefined,
-          "text": "",
-          "type": "reasoning",
-        },
-        {
-          "id": "3",
-          "type": "reasoning-end",
-        },
-        {
-          "finishReason": "stop",
-          "providerMetadata": undefined,
-          "response": {
-            "headers": undefined,
-            "id": "id-2",
-            "modelId": "mock-model-id",
-            "timestamp": 2025-01-01T00:00:00.000Z,
-          },
-          "type": "finish-step",
-          "usage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
+          {
+            "id": "3",
+            "providerMetadata": undefined,
+            "text": "",
+            "type": "reasoning-delta",
           },
-        },
-        {
-          "finishReason": "stop",
-          "totalUsage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
-          },
-          "type": "finish",
-        },
-      ]
-    `);
+          {
+            "id": "3",
+            "type": "reasoning-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": undefined,
+            "response": {
+              "headers": undefined,
+              "id": "id-2",
+              "modelId": "mock-model-id",
+              "timestamp": 2025-01-01T00:00:00.000Z,
+            },
+            "type": "finish-step",
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+          },
+          {
+            "finishReason": "stop",
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+            "type": "finish",
+          },
+        ]
+      `);
   });
 
   it('should simulate streaming with reasoning as array of mixed objects', async () => {
@@ -389,94 +389,94 @@ describe('simulateStreamingMiddleware', () => {
 
     expect(await convertAsyncIterableToArray(result.fullStream))
       .toMatchInlineSnapshot(`
-      [
-        {
-          "type": "start",
-        },
-        {
-          "request": {},
-          "type": "start-step",
-          "warnings": [],
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "type": "reasoning-start",
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "text": "First reasoning step",
-          "type": "reasoning",
-        },
-        {
-          "id": "0",
-          "type": "reasoning-end",
-        },
-        {
-          "id": "1",
-          "providerMetadata": {
-            "testProvider": {
-              "isRedacted": true,
+        [
+          {
+            "type": "start",
+          },
+          {
+            "request": {},
+            "type": "start-step",
+            "warnings": [],
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "type": "reasoning-start",
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "text": "First reasoning step",
+            "type": "reasoning-delta",
+          },
+          {
+            "id": "0",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "1",
+            "providerMetadata": {
+              "testProvider": {
+                "isRedacted": true,
+              },
             },
+            "type": "reasoning-start",
           },
-          "type": "reasoning-start",
-        },
-        {
-          "id": "1",
-          "providerMetadata": undefined,
-          "text": "data",
-          "type": "reasoning",
-        },
-        {
-          "id": "1",
-          "type": "reasoning-end",
-        },
-        {
-          "id": "2",
-          "type": "text-start",
-        },
-        {
-          "id": "2",
-          "providerMetadata": undefined,
-          "text": "This is a test response",
-          "type": "text",
-        },
-        {
-          "id": "2",
-          "type": "text-end",
-        },
-        {
-          "finishReason": "stop",
-          "providerMetadata": undefined,
-          "response": {
-            "headers": undefined,
-            "id": "id-3",
-            "modelId": "mock-model-id",
-            "timestamp": 2025-01-01T00:00:00.000Z,
-          },
-          "type": "finish-step",
-          "usage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
+          {
+            "id": "1",
+            "providerMetadata": undefined,
+            "text": "data",
+            "type": "reasoning-delta",
           },
-        },
-        {
-          "finishReason": "stop",
-          "totalUsage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
-          },
-          "type": "finish",
-        },
-      ]
-    `);
+          {
+            "id": "1",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "2",
+            "type": "text-start",
+          },
+          {
+            "id": "2",
+            "providerMetadata": undefined,
+            "text": "This is a test response",
+            "type": "text-delta",
+          },
+          {
+            "id": "2",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": undefined,
+            "response": {
+              "headers": undefined,
+              "id": "id-3",
+              "modelId": "mock-model-id",
+              "timestamp": 2025-01-01T00:00:00.000Z,
+            },
+            "type": "finish-step",
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+          },
+          {
+            "finishReason": "stop",
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+            "type": "finish",
+          },
+        ]
+      `);
   });
 
   it('should simulate streaming with tool calls', async () => {
@@ -549,7 +549,7 @@ describe('simulateStreamingMiddleware', () => {
             "id": "0",
             "providerMetadata": undefined,
             "text": "This is a test response",
-            "type": "text",
+            "type": "text-delta",
           },
           {
             "id": "0",
@@ -560,6 +560,7 @@ describe('simulateStreamingMiddleware', () => {
               "expression": "2+2",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "tool-1",
             "toolName": "calculator",
             "type": "tool-call",
@@ -569,6 +570,7 @@ describe('simulateStreamingMiddleware', () => {
               "location": "New York",
             },
             "providerExecuted": undefined,
+            "providerMetadata": undefined,
             "toolCallId": "tool-2",
             "toolName": "weather",
             "type": "tool-call",
@@ -629,64 +631,64 @@ describe('simulateStreamingMiddleware', () => {
 
     expect(await convertAsyncIterableToArray(result.fullStream))
       .toMatchInlineSnapshot(`
-      [
-        {
-          "type": "start",
-        },
-        {
-          "request": {},
-          "type": "start-step",
-          "warnings": [],
-        },
-        {
-          "id": "0",
-          "type": "text-start",
-        },
-        {
-          "id": "0",
-          "providerMetadata": undefined,
-          "text": "This is a test response",
-          "type": "text",
-        },
-        {
-          "id": "0",
-          "type": "text-end",
-        },
-        {
-          "finishReason": "stop",
-          "providerMetadata": {
-            "custom": {
-              "key": "value",
-            },
-          },
-          "response": {
-            "headers": undefined,
-            "id": "id-5",
-            "modelId": "mock-model-id",
-            "timestamp": 2025-01-01T00:00:00.000Z,
-          },
-          "type": "finish-step",
-          "usage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
+        [
+          {
+            "type": "start",
           },
-        },
-        {
-          "finishReason": "stop",
-          "totalUsage": {
-            "cachedInputTokens": undefined,
-            "inputTokens": 5,
-            "outputTokens": 10,
-            "reasoningTokens": 3,
-            "totalTokens": 18,
-          },
-          "type": "finish",
-        },
-      ]
-    `);
+          {
+            "request": {},
+            "type": "start-step",
+            "warnings": [],
+          },
+          {
+            "id": "0",
+            "type": "text-start",
+          },
+          {
+            "id": "0",
+            "providerMetadata": undefined,
+            "text": "This is a test response",
+            "type": "text-delta",
+          },
+          {
+            "id": "0",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": {
+              "custom": {
+                "key": "value",
+              },
+            },
+            "response": {
+              "headers": undefined,
+              "id": "id-5",
+              "modelId": "mock-model-id",
+              "timestamp": 2025-01-01T00:00:00.000Z,
+            },
+            "type": "finish-step",
+            "usage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+          },
+          {
+            "finishReason": "stop",
+            "totalUsage": {
+              "cachedInputTokens": undefined,
+              "inputTokens": 5,
+              "outputTokens": 10,
+              "reasoningTokens": 3,
+              "totalTokens": 18,
+            },
+            "type": "finish",
+          },
+        ]
+      `);
   });
 
   it('should handle empty text response', async () => {
diff --git a/packages/ai/core/middleware/simulate-streaming-middleware.ts b/packages/ai/src/middleware/simulate-streaming-middleware.ts
similarity index 100%
rename from packages/ai/core/middleware/simulate-streaming-middleware.ts
rename to packages/ai/src/middleware/simulate-streaming-middleware.ts
diff --git a/packages/ai/core/middleware/wrap-language-model.test.ts b/packages/ai/src/middleware/wrap-language-model.test.ts
similarity index 100%
rename from packages/ai/core/middleware/wrap-language-model.test.ts
rename to packages/ai/src/middleware/wrap-language-model.test.ts
diff --git a/packages/ai/core/middleware/wrap-language-model.ts b/packages/ai/src/middleware/wrap-language-model.ts
similarity index 98%
rename from packages/ai/core/middleware/wrap-language-model.ts
rename to packages/ai/src/middleware/wrap-language-model.ts
index 8ed7cc66b355..e2271d0b27e3 100644
--- a/packages/ai/core/middleware/wrap-language-model.ts
+++ b/packages/ai/src/middleware/wrap-language-model.ts
@@ -14,7 +14,7 @@ import { asArray } from '../../src/util/as-array';
  * @param options.model - The original LanguageModelV2 instance to be wrapped.
  * @param options.middleware - The middleware to be applied to the language model. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.
  * @param options.modelId - Optional custom model ID to override the original model's ID.
- * @param options.providerId - Optional custom provider ID to override the original model's provider.
+ * @param options.providerId - Optional custom provider ID to override the original model's provider ID.
  * @returns A new LanguageModelV2 instance with middleware applied.
  */
 export const wrapLanguageModel = ({
diff --git a/packages/ai/src/middleware/wrap-provider.test.ts b/packages/ai/src/middleware/wrap-provider.test.ts
new file mode 100644
index 000000000000..4d9e5a6065d4
--- /dev/null
+++ b/packages/ai/src/middleware/wrap-provider.test.ts
@@ -0,0 +1,46 @@
+import { MockLanguageModelV2 } from '../test/mock-language-model-v2';
+import { MockProviderV2 } from '../test/mock-provider-v2';
+import { wrapProvider } from './wrap-provider';
+
+describe('wrapProvider', () => {
+  it('should wrap all language models in the provider', () => {
+    const model1 = new MockLanguageModelV2({ modelId: 'model-1' });
+    const model2 = new MockLanguageModelV2({ modelId: 'model-2' });
+    const model3 = new MockLanguageModelV2({ modelId: 'model-3' });
+
+    const provider = new MockProviderV2({
+      languageModels: {
+        'model-1': model1,
+        'model-2': model2,
+        'model-3': model3,
+      },
+    });
+
+    const overrideModelId = vi
+      .fn()
+      .mockImplementation(({ model }) => `override-${model.modelId}`);
+
+    const wrappedProvider = wrapProvider({
+      provider,
+      languageModelMiddleware: {
+        middlewareVersion: 'v2',
+        overrideModelId,
+      },
+    });
+
+    expect(wrappedProvider.languageModel('model-1').modelId).toBe(
+      'override-model-1',
+    );
+    expect(wrappedProvider.languageModel('model-2').modelId).toBe(
+      'override-model-2',
+    );
+    expect(wrappedProvider.languageModel('model-3').modelId).toBe(
+      'override-model-3',
+    );
+
+    expect(overrideModelId).toHaveBeenCalledTimes(3);
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model1 });
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model2 });
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model3 });
+  });
+});
diff --git a/packages/ai/src/middleware/wrap-provider.ts b/packages/ai/src/middleware/wrap-provider.ts
new file mode 100644
index 000000000000..65a44004edae
--- /dev/null
+++ b/packages/ai/src/middleware/wrap-provider.ts
@@ -0,0 +1,40 @@
+import type { LanguageModelV2Middleware, ProviderV2 } from '@ai-sdk/provider';
+import { wrapLanguageModel } from './wrap-language-model';
+
+/**
+ * Wraps a ProviderV2 instance with middleware functionality.
+ * This function allows you to apply middleware to all language models
+ * from the provider, enabling you to transform parameters, wrap generate
+ * operations, and wrap stream operations for every language model.
+ *
+ * @param options - Configuration options for wrapping the provider.
+ * @param options.provider - The original ProviderV2 instance to be wrapped.
+ * @param options.languageModelMiddleware - The middleware to be applied to all language models from the provider. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.
+ * @returns A new ProviderV2 instance with middleware applied to all language models.
+ */
+export function wrapProvider({
+  provider,
+  languageModelMiddleware,
+}: {
+  provider: ProviderV2;
+  languageModelMiddleware:
+    | LanguageModelV2Middleware
+    | LanguageModelV2Middleware[];
+}): ProviderV2 {
+  const wrappedProvider = {
+    languageModel(modelId: string) {
+      let model = provider.languageModel(modelId);
+      model = wrapLanguageModel({
+        model,
+        middleware: languageModelMiddleware,
+      });
+      return model;
+    },
+    textEmbeddingModel: provider.textEmbeddingModel,
+    imageModel: provider.imageModel,
+    transcriptionModel: provider.transcriptionModel,
+    speechModel: provider.speechModel,
+  };
+
+  return wrappedProvider;
+}
diff --git a/packages/ai/core/prompt/call-settings.ts b/packages/ai/src/prompt/call-settings.ts
similarity index 100%
rename from packages/ai/core/prompt/call-settings.ts
rename to packages/ai/src/prompt/call-settings.ts
diff --git a/packages/ai/core/prompt/content-part.ts b/packages/ai/src/prompt/content-part.ts
similarity index 100%
rename from packages/ai/core/prompt/content-part.ts
rename to packages/ai/src/prompt/content-part.ts
diff --git a/packages/ai/core/prompt/convert-to-language-model-prompt.test.ts b/packages/ai/src/prompt/convert-to-language-model-prompt.test.ts
similarity index 100%
rename from packages/ai/core/prompt/convert-to-language-model-prompt.test.ts
rename to packages/ai/src/prompt/convert-to-language-model-prompt.test.ts
diff --git a/packages/ai/core/prompt/convert-to-language-model-prompt.ts b/packages/ai/src/prompt/convert-to-language-model-prompt.ts
similarity index 100%
rename from packages/ai/core/prompt/convert-to-language-model-prompt.ts
rename to packages/ai/src/prompt/convert-to-language-model-prompt.ts
diff --git a/packages/ai/core/prompt/create-tool-model-output.test.ts b/packages/ai/src/prompt/create-tool-model-output.test.ts
similarity index 100%
rename from packages/ai/core/prompt/create-tool-model-output.test.ts
rename to packages/ai/src/prompt/create-tool-model-output.test.ts
diff --git a/packages/ai/core/prompt/create-tool-model-output.ts b/packages/ai/src/prompt/create-tool-model-output.ts
similarity index 100%
rename from packages/ai/core/prompt/create-tool-model-output.ts
rename to packages/ai/src/prompt/create-tool-model-output.ts
diff --git a/packages/ai/core/prompt/data-content.test.ts b/packages/ai/src/prompt/data-content.test.ts
similarity index 100%
rename from packages/ai/core/prompt/data-content.test.ts
rename to packages/ai/src/prompt/data-content.test.ts
diff --git a/packages/ai/core/prompt/data-content.ts b/packages/ai/src/prompt/data-content.ts
similarity index 100%
rename from packages/ai/core/prompt/data-content.ts
rename to packages/ai/src/prompt/data-content.ts
diff --git a/packages/ai/core/prompt/index.ts b/packages/ai/src/prompt/index.ts
similarity index 100%
rename from packages/ai/core/prompt/index.ts
rename to packages/ai/src/prompt/index.ts
diff --git a/packages/ai/core/prompt/invalid-data-content-error.ts b/packages/ai/src/prompt/invalid-data-content-error.ts
similarity index 100%
rename from packages/ai/core/prompt/invalid-data-content-error.ts
rename to packages/ai/src/prompt/invalid-data-content-error.ts
diff --git a/packages/ai/core/prompt/invalid-message-role-error.ts b/packages/ai/src/prompt/invalid-message-role-error.ts
similarity index 100%
rename from packages/ai/core/prompt/invalid-message-role-error.ts
rename to packages/ai/src/prompt/invalid-message-role-error.ts
diff --git a/packages/ai/core/prompt/message-conversion-error.ts b/packages/ai/src/prompt/message-conversion-error.ts
similarity index 100%
rename from packages/ai/core/prompt/message-conversion-error.ts
rename to packages/ai/src/prompt/message-conversion-error.ts
diff --git a/packages/ai/core/prompt/message.ts b/packages/ai/src/prompt/message.ts
similarity index 100%
rename from packages/ai/core/prompt/message.ts
rename to packages/ai/src/prompt/message.ts
diff --git a/packages/ai/core/prompt/prepare-call-settings.test.ts b/packages/ai/src/prompt/prepare-call-settings.test.ts
similarity index 100%
rename from packages/ai/core/prompt/prepare-call-settings.test.ts
rename to packages/ai/src/prompt/prepare-call-settings.test.ts
diff --git a/packages/ai/core/prompt/prepare-call-settings.ts b/packages/ai/src/prompt/prepare-call-settings.ts
similarity index 100%
rename from packages/ai/core/prompt/prepare-call-settings.ts
rename to packages/ai/src/prompt/prepare-call-settings.ts
diff --git a/packages/ai/src/prompt/prepare-tools-and-tool-choice.test.ts b/packages/ai/src/prompt/prepare-tools-and-tool-choice.test.ts
new file mode 100644
index 000000000000..43f4d8e432f4
--- /dev/null
+++ b/packages/ai/src/prompt/prepare-tools-and-tool-choice.test.ts
@@ -0,0 +1,372 @@
+import { z } from 'zod/v4';
+import { prepareToolsAndToolChoice } from './prepare-tools-and-tool-choice';
+import { Tool, tool } from '@ai-sdk/provider-utils';
+
+const mockTools = {
+  tool1: tool({
+    description: 'Tool 1 description',
+    inputSchema: z.object({}),
+  }),
+  tool2: tool({
+    description: 'Tool 2 description',
+    inputSchema: z.object({ city: z.string() }),
+  }),
+};
+
+const mockProviderDefinedTool: Tool = {
+  type: 'provider-defined',
+  id: 'provider.tool-id',
+  name: 'tool-id',
+  args: { key: 'value' },
+  inputSchema: z.object({}),
+};
+
+const mockToolsWithProviderDefined = {
+  ...mockTools,
+  providerTool: mockProviderDefinedTool,
+};
+
+describe('prepareToolsAndToolChoice', () => {
+  it('should return undefined for both tools and toolChoice when tools is not provided', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: undefined,
+      toolChoice: undefined,
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": undefined,
+        "tools": undefined,
+      }
+    `);
+  });
+
+  it('should return all tools when activeTools is not provided', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockTools,
+      toolChoice: undefined,
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "auto",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "description": "Tool 2 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "city": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "city",
+              ],
+              "type": "object",
+            },
+            "name": "tool2",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should filter tools based on activeTools', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockTools,
+      toolChoice: undefined,
+      activeTools: ['tool1'],
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "auto",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should handle string toolChoice', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockTools,
+      toolChoice: 'none',
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "none",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "description": "Tool 2 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "city": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "city",
+              ],
+              "type": "object",
+            },
+            "name": "tool2",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should handle object toolChoice', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockTools,
+      toolChoice: { type: 'tool', toolName: 'tool2' },
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "toolName": "tool2",
+          "type": "tool",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "description": "Tool 2 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "city": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "city",
+              ],
+              "type": "object",
+            },
+            "name": "tool2",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should correctly map tool properties', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockTools,
+      toolChoice: undefined,
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "auto",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "description": "Tool 2 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "city": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "city",
+              ],
+              "type": "object",
+            },
+            "name": "tool2",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should handle provider-defined tool type', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: mockToolsWithProviderDefined,
+      toolChoice: undefined,
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "auto",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "description": "Tool 2 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "city": {
+                  "type": "string",
+                },
+              },
+              "required": [
+                "city",
+              ],
+              "type": "object",
+            },
+            "name": "tool2",
+            "providerOptions": undefined,
+            "type": "function",
+          },
+          {
+            "args": {
+              "key": "value",
+            },
+            "id": "provider.tool-id",
+            "name": "providerTool",
+            "type": "provider-defined",
+          },
+        ],
+      }
+    `);
+  });
+
+  it('should pass through provider options', () => {
+    const result = prepareToolsAndToolChoice({
+      tools: {
+        tool1: tool({
+          description: 'Tool 1 description',
+          inputSchema: z.object({}),
+          providerOptions: {
+            aProvider: {
+              aSetting: 'aValue',
+            },
+          },
+        }),
+      },
+      toolChoice: undefined,
+      activeTools: undefined,
+    });
+
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "toolChoice": {
+          "type": "auto",
+        },
+        "tools": [
+          {
+            "description": "Tool 1 description",
+            "inputSchema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {},
+              "type": "object",
+            },
+            "name": "tool1",
+            "providerOptions": {
+              "aProvider": {
+                "aSetting": "aValue",
+              },
+            },
+            "type": "function",
+          },
+        ],
+      }
+    `);
+  });
+});
diff --git a/packages/ai/core/prompt/prepare-tools-and-tool-choice.ts b/packages/ai/src/prompt/prepare-tools-and-tool-choice.ts
similarity index 97%
rename from packages/ai/core/prompt/prepare-tools-and-tool-choice.ts
rename to packages/ai/src/prompt/prepare-tools-and-tool-choice.ts
index 8138d7537ca5..1e0494ba3d65 100644
--- a/packages/ai/core/prompt/prepare-tools-and-tool-choice.ts
+++ b/packages/ai/src/prompt/prepare-tools-and-tool-choice.ts
@@ -48,6 +48,7 @@ export function prepareToolsAndToolChoice<TOOLS extends ToolSet>({
             name,
             description: tool.description,
             inputSchema: asSchema(tool.inputSchema).jsonSchema,
+            providerOptions: tool.providerOptions,
           };
         case 'provider-defined':
           return {
diff --git a/packages/ai/core/prompt/prompt.ts b/packages/ai/src/prompt/prompt.ts
similarity index 100%
rename from packages/ai/core/prompt/prompt.ts
rename to packages/ai/src/prompt/prompt.ts
diff --git a/packages/ai/core/prompt/resolve-language-model.test.ts b/packages/ai/src/prompt/resolve-language-model.test.ts
similarity index 100%
rename from packages/ai/core/prompt/resolve-language-model.test.ts
rename to packages/ai/src/prompt/resolve-language-model.test.ts
diff --git a/packages/ai/core/prompt/resolve-language-model.ts b/packages/ai/src/prompt/resolve-language-model.ts
similarity index 59%
rename from packages/ai/core/prompt/resolve-language-model.ts
rename to packages/ai/src/prompt/resolve-language-model.ts
index b920a0b76ce5..17e693e10501 100644
--- a/packages/ai/core/prompt/resolve-language-model.ts
+++ b/packages/ai/src/prompt/resolve-language-model.ts
@@ -1,9 +1,18 @@
 import { gateway } from '@ai-sdk/gateway';
 import { LanguageModelV2 } from '@ai-sdk/provider';
+import { UnsupportedModelVersionError } from '../error';
 import { LanguageModel } from '../types/language-model';
 
 export function resolveLanguageModel(model: LanguageModel): LanguageModelV2 {
   if (typeof model !== 'string') {
+    if (model.specificationVersion !== 'v2') {
+      throw new UnsupportedModelVersionError({
+        version: model.specificationVersion,
+        provider: model.provider,
+        modelId: model.modelId,
+      });
+    }
+
     return model;
   }
 
diff --git a/packages/ai/core/prompt/split-data-url.ts b/packages/ai/src/prompt/split-data-url.ts
similarity index 100%
rename from packages/ai/core/prompt/split-data-url.ts
rename to packages/ai/src/prompt/split-data-url.ts
diff --git a/packages/ai/core/prompt/standardize-prompt.test.ts b/packages/ai/src/prompt/standardize-prompt.test.ts
similarity index 100%
rename from packages/ai/core/prompt/standardize-prompt.test.ts
rename to packages/ai/src/prompt/standardize-prompt.test.ts
diff --git a/packages/ai/core/prompt/standardize-prompt.ts b/packages/ai/src/prompt/standardize-prompt.ts
similarity index 100%
rename from packages/ai/core/prompt/standardize-prompt.ts
rename to packages/ai/src/prompt/standardize-prompt.ts
diff --git a/packages/ai/core/prompt/wrap-gateway-error.ts b/packages/ai/src/prompt/wrap-gateway-error.ts
similarity index 100%
rename from packages/ai/core/prompt/wrap-gateway-error.ts
rename to packages/ai/src/prompt/wrap-gateway-error.ts
diff --git a/packages/ai/core/registry/custom-provider.test.ts b/packages/ai/src/registry/custom-provider.test.ts
similarity index 100%
rename from packages/ai/core/registry/custom-provider.test.ts
rename to packages/ai/src/registry/custom-provider.test.ts
diff --git a/packages/ai/core/registry/custom-provider.ts b/packages/ai/src/registry/custom-provider.ts
similarity index 100%
rename from packages/ai/core/registry/custom-provider.ts
rename to packages/ai/src/registry/custom-provider.ts
diff --git a/packages/ai/core/registry/index.ts b/packages/ai/src/registry/index.ts
similarity index 100%
rename from packages/ai/core/registry/index.ts
rename to packages/ai/src/registry/index.ts
diff --git a/packages/ai/core/registry/no-such-provider-error.ts b/packages/ai/src/registry/no-such-provider-error.ts
similarity index 100%
rename from packages/ai/core/registry/no-such-provider-error.ts
rename to packages/ai/src/registry/no-such-provider-error.ts
diff --git a/packages/ai/core/registry/provider-registry.test.ts b/packages/ai/src/registry/provider-registry.test.ts
similarity index 88%
rename from packages/ai/core/registry/provider-registry.test.ts
rename to packages/ai/src/registry/provider-registry.test.ts
index 2062cdb1682e..41aadde120b2 100644
--- a/packages/ai/core/registry/provider-registry.test.ts
+++ b/packages/ai/src/registry/provider-registry.test.ts
@@ -6,6 +6,7 @@ import { createProviderRegistry } from './provider-registry';
 import { MockImageModelV2 } from '../test/mock-image-model-v2';
 import { MockTranscriptionModelV2 } from '../test/mock-transcription-model-v2';
 import { MockSpeechModelV2 } from '../test/mock-speech-model-v2';
+import { MockProviderV2 } from '../test/mock-provider-v2';
 
 describe('languageModel', () => {
   it('should return language model from provider', () => {
@@ -426,3 +427,56 @@ describe('speechModel', () => {
     expect(() => registry.speechModel('model')).toThrowError(NoSuchModelError);
   });
 });
+
+describe('middleware functionality', () => {
+  it('should wrap all language models accessed through the provider registry', () => {
+    const model1 = new MockLanguageModelV2({ modelId: 'model-1' });
+    const model2 = new MockLanguageModelV2({ modelId: 'model-2' });
+    const model3 = new MockLanguageModelV2({ modelId: 'model-3' });
+
+    const provider1 = new MockProviderV2({
+      languageModels: {
+        'model-1': model1,
+        'model-2': model2,
+      },
+    });
+
+    const provider2 = new MockProviderV2({
+      languageModels: {
+        'model-3': model3,
+      },
+    });
+
+    const overrideModelId = vi
+      .fn()
+      .mockImplementation(({ model }) => `override-${model.modelId}`);
+
+    const registry = createProviderRegistry(
+      {
+        provider1,
+        provider2,
+      },
+      {
+        languageModelMiddleware: {
+          middlewareVersion: 'v2',
+          overrideModelId,
+        },
+      },
+    );
+
+    expect(registry.languageModel('provider1:model-1').modelId).toBe(
+      'override-model-1',
+    );
+    expect(registry.languageModel('provider1:model-2').modelId).toBe(
+      'override-model-2',
+    );
+    expect(registry.languageModel('provider2:model-3').modelId).toBe(
+      'override-model-3',
+    );
+
+    expect(overrideModelId).toHaveBeenCalledTimes(3);
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model1 });
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model2 });
+    expect(overrideModelId).toHaveBeenCalledWith({ model: model3 });
+  });
+});
diff --git a/packages/ai/core/registry/provider-registry.ts b/packages/ai/src/registry/provider-registry.ts
similarity index 77%
rename from packages/ai/core/registry/provider-registry.ts
rename to packages/ai/src/registry/provider-registry.ts
index a8bf910c7fbb..46fb92563278 100644
--- a/packages/ai/core/registry/provider-registry.ts
+++ b/packages/ai/src/registry/provider-registry.ts
@@ -2,12 +2,14 @@ import {
   EmbeddingModelV2,
   ImageModelV2,
   LanguageModelV2,
+  LanguageModelV2Middleware,
   NoSuchModelError,
   ProviderV2,
   SpeechModelV2,
   TranscriptionModelV2,
 } from '@ai-sdk/provider';
 import { NoSuchProviderError } from './no-such-provider-error';
+import { wrapLanguageModel } from '../middleware/wrap-language-model';
 
 type ExtractLiteralUnion<T> = T extends string
   ? string extends T
@@ -66,7 +68,16 @@ export interface ProviderRegistryProvider<
 }
 
 /**
- * Creates a registry for the given providers.
+ * Creates a registry for the given providers with optional middleware functionality.
+ * This function allows you to register multiple providers and optionally apply middleware
+ * to all language models from the registry, enabling you to transform parameters, wrap generate
+ * operations, and wrap stream operations for every language model accessed through the registry.
+ *
+ * @param providers - A record of provider instances to be registered in the registry.
+ * @param options - Configuration options for the provider registry.
+ * @param options.separator - The separator used between provider ID and model ID in the combined identifier. Defaults to ':'.
+ * @param options.languageModelMiddleware - Optional middleware to be applied to all language models from the registry. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.
+ * @returns A new ProviderRegistryProvider instance that provides access to all registered providers with optional middleware applied to language models.
  */
 export function createProviderRegistry<
   PROVIDERS extends Record<string, ProviderV2>,
@@ -75,12 +86,17 @@ export function createProviderRegistry<
   providers: PROVIDERS,
   {
     separator = ':' as SEPARATOR,
+    languageModelMiddleware,
   }: {
     separator?: SEPARATOR;
+    languageModelMiddleware?:
+      | LanguageModelV2Middleware
+      | LanguageModelV2Middleware[];
   } = {},
 ): ProviderRegistryProvider<PROVIDERS, SEPARATOR> {
   const registry = new DefaultProviderRegistry<PROVIDERS, SEPARATOR>({
     separator,
+    languageModelMiddleware,
   });
 
   for (const [id, provider] of Object.entries(providers)) {
@@ -105,9 +121,21 @@ class DefaultProviderRegistry<
 {
   private providers: PROVIDERS = {} as PROVIDERS;
   private separator: SEPARATOR;
+  private languageModelMiddleware?:
+    | LanguageModelV2Middleware
+    | LanguageModelV2Middleware[];
 
-  constructor({ separator }: { separator: SEPARATOR }) {
+  constructor({
+    separator,
+    languageModelMiddleware,
+  }: {
+    separator: SEPARATOR;
+    languageModelMiddleware?:
+      | LanguageModelV2Middleware
+      | LanguageModelV2Middleware[];
+  }) {
     this.separator = separator;
+    this.languageModelMiddleware = languageModelMiddleware;
   }
 
   registerProvider<K extends keyof PROVIDERS>({
@@ -171,7 +199,7 @@ class DefaultProviderRegistry<
     id: `${KEY & string}${SEPARATOR}${string}`,
   ): LanguageModelV2 {
     const [providerId, modelId] = this.splitId(id, 'languageModel');
-    const model = this.getProvider(providerId, 'languageModel').languageModel?.(
+    let model = this.getProvider(providerId, 'languageModel').languageModel?.(
       modelId,
     );
 
@@ -179,6 +207,13 @@ class DefaultProviderRegistry<
       throw new NoSuchModelError({ modelId: id, modelType: 'languageModel' });
     }
 
+    if (this.languageModelMiddleware != null) {
+      model = wrapLanguageModel({
+        model,
+        middleware: this.languageModelMiddleware,
+      });
+    }
+
     return model;
   }
 
diff --git a/packages/ai/core/telemetry/assemble-operation-name.ts b/packages/ai/src/telemetry/assemble-operation-name.ts
similarity index 100%
rename from packages/ai/core/telemetry/assemble-operation-name.ts
rename to packages/ai/src/telemetry/assemble-operation-name.ts
diff --git a/packages/ai/core/telemetry/get-base-telemetry-attributes.ts b/packages/ai/src/telemetry/get-base-telemetry-attributes.ts
similarity index 100%
rename from packages/ai/core/telemetry/get-base-telemetry-attributes.ts
rename to packages/ai/src/telemetry/get-base-telemetry-attributes.ts
diff --git a/packages/ai/core/telemetry/get-tracer.ts b/packages/ai/src/telemetry/get-tracer.ts
similarity index 100%
rename from packages/ai/core/telemetry/get-tracer.ts
rename to packages/ai/src/telemetry/get-tracer.ts
diff --git a/packages/ai/core/telemetry/noop-tracer.ts b/packages/ai/src/telemetry/noop-tracer.ts
similarity index 100%
rename from packages/ai/core/telemetry/noop-tracer.ts
rename to packages/ai/src/telemetry/noop-tracer.ts
diff --git a/packages/ai/src/telemetry/record-span.ts b/packages/ai/src/telemetry/record-span.ts
new file mode 100644
index 000000000000..ba2efef9a6c9
--- /dev/null
+++ b/packages/ai/src/telemetry/record-span.ts
@@ -0,0 +1,59 @@
+import { Attributes, Span, Tracer, SpanStatusCode } from '@opentelemetry/api';
+
+export function recordSpan<T>({
+  name,
+  tracer,
+  attributes,
+  fn,
+  endWhenDone = true,
+}: {
+  name: string;
+  tracer: Tracer;
+  attributes: Attributes;
+  fn: (span: Span) => Promise<T>;
+  endWhenDone?: boolean;
+}) {
+  return tracer.startActiveSpan(name, { attributes }, async span => {
+    try {
+      const result = await fn(span);
+
+      if (endWhenDone) {
+        span.end();
+      }
+
+      return result;
+    } catch (error) {
+      try {
+        recordErrorOnSpan(span, error);
+      } finally {
+        // always stop the span when there is an error:
+        span.end();
+      }
+
+      throw error;
+    }
+  });
+}
+
+/**
+ * Record an error on a span. If the error is an instance of Error, an exception event will be recorded on the span, otherwise
+ * the span will be set to an error status.
+ *
+ * @param span - The span to record the error on.
+ * @param error - The error to record on the span.
+ */
+export function recordErrorOnSpan(span: Span, error: unknown) {
+  if (error instanceof Error) {
+    span.recordException({
+      name: error.name,
+      message: error.message,
+      stack: error.stack,
+    });
+    span.setStatus({
+      code: SpanStatusCode.ERROR,
+      message: error.message,
+    });
+  } else {
+    span.setStatus({ code: SpanStatusCode.ERROR });
+  }
+}
diff --git a/packages/ai/core/telemetry/select-telemetry-attributes.ts b/packages/ai/src/telemetry/select-telemetry-attributes.ts
similarity index 86%
rename from packages/ai/core/telemetry/select-telemetry-attributes.ts
rename to packages/ai/src/telemetry/select-telemetry-attributes.ts
index e801a684c202..e3385cb7db22 100644
--- a/packages/ai/core/telemetry/select-telemetry-attributes.ts
+++ b/packages/ai/src/telemetry/select-telemetry-attributes.ts
@@ -20,7 +20,7 @@ export function selectTelemetryAttributes({
   }
 
   return Object.entries(attributes).reduce((attributes, [key, value]) => {
-    if (value === undefined) {
+    if (value == null) {
       return attributes;
     }
 
@@ -37,9 +37,7 @@ export function selectTelemetryAttributes({
 
       const result = value.input();
 
-      return result === undefined
-        ? attributes
-        : { ...attributes, [key]: result };
+      return result == null ? attributes : { ...attributes, [key]: result };
     }
 
     // output value, check if it should be recorded:
@@ -55,9 +53,7 @@ export function selectTelemetryAttributes({
 
       const result = value.output();
 
-      return result === undefined
-        ? attributes
-        : { ...attributes, [key]: result };
+      return result == null ? attributes : { ...attributes, [key]: result };
     }
 
     // value is an attribute value already:
diff --git a/packages/ai/core/telemetry/select-temetry-attributes.test.ts b/packages/ai/src/telemetry/select-temetry-attributes.test.ts
similarity index 97%
rename from packages/ai/core/telemetry/select-temetry-attributes.test.ts
rename to packages/ai/src/telemetry/select-temetry-attributes.test.ts
index f77d92584008..da2eabf0aa79 100644
--- a/packages/ai/core/telemetry/select-temetry-attributes.test.ts
+++ b/packages/ai/src/telemetry/select-temetry-attributes.test.ts
@@ -99,6 +99,9 @@ it('should handle mixed attribute types correctly', () => {
       input: { input: () => 'input value' },
       output: { output: () => 'output value' },
       undefined: undefined,
+      // Invalid null input
+      null: null as any,
+      input_null: { input: () => null as any },
     },
   });
   expect(result).toEqual({
diff --git a/packages/ai/core/telemetry/stringify-for-telemetry.test.ts b/packages/ai/src/telemetry/stringify-for-telemetry.test.ts
similarity index 100%
rename from packages/ai/core/telemetry/stringify-for-telemetry.test.ts
rename to packages/ai/src/telemetry/stringify-for-telemetry.test.ts
diff --git a/packages/ai/core/telemetry/stringify-for-telemetry.ts b/packages/ai/src/telemetry/stringify-for-telemetry.ts
similarity index 100%
rename from packages/ai/core/telemetry/stringify-for-telemetry.ts
rename to packages/ai/src/telemetry/stringify-for-telemetry.ts
diff --git a/packages/ai/core/telemetry/telemetry-settings.ts b/packages/ai/src/telemetry/telemetry-settings.ts
similarity index 100%
rename from packages/ai/core/telemetry/telemetry-settings.ts
rename to packages/ai/src/telemetry/telemetry-settings.ts
diff --git a/packages/ai/core/test/mock-embedding-model-v2.ts b/packages/ai/src/test/mock-embedding-model-v2.ts
similarity index 100%
rename from packages/ai/core/test/mock-embedding-model-v2.ts
rename to packages/ai/src/test/mock-embedding-model-v2.ts
diff --git a/packages/ai/core/test/mock-image-model-v2.ts b/packages/ai/src/test/mock-image-model-v2.ts
similarity index 100%
rename from packages/ai/core/test/mock-image-model-v2.ts
rename to packages/ai/src/test/mock-image-model-v2.ts
diff --git a/packages/ai/core/test/mock-language-model-v2.ts b/packages/ai/src/test/mock-language-model-v2.ts
similarity index 100%
rename from packages/ai/core/test/mock-language-model-v2.ts
rename to packages/ai/src/test/mock-language-model-v2.ts
diff --git a/packages/ai/src/test/mock-provider-v2.ts b/packages/ai/src/test/mock-provider-v2.ts
new file mode 100644
index 000000000000..a07974b1ea13
--- /dev/null
+++ b/packages/ai/src/test/mock-provider-v2.ts
@@ -0,0 +1,68 @@
+import {
+  EmbeddingModelV2,
+  ImageModelV2,
+  LanguageModelV2,
+  NoSuchModelError,
+  ProviderV2,
+  SpeechModelV2,
+  TranscriptionModelV2,
+} from '@ai-sdk/provider';
+
+export class MockProviderV2 implements ProviderV2 {
+  languageModel: ProviderV2['languageModel'];
+  textEmbeddingModel: ProviderV2['textEmbeddingModel'];
+  imageModel: ProviderV2['imageModel'];
+  transcriptionModel: ProviderV2['transcriptionModel'];
+  speechModel: ProviderV2['speechModel'];
+
+  constructor({
+    languageModels,
+    embeddingModels,
+    imageModels,
+    transcriptionModels,
+    speechModels,
+  }: {
+    languageModels?: Record<string, LanguageModelV2>;
+    embeddingModels?: Record<string, EmbeddingModelV2<string>>;
+    imageModels?: Record<string, ImageModelV2>;
+    transcriptionModels?: Record<string, TranscriptionModelV2>;
+    speechModels?: Record<string, SpeechModelV2>;
+  } = {}) {
+    this.languageModel = (modelId: string) => {
+      if (!languageModels?.[modelId]) {
+        throw new NoSuchModelError({ modelId, modelType: 'languageModel' });
+      }
+      return languageModels[modelId];
+    };
+    this.textEmbeddingModel = (modelId: string) => {
+      if (!embeddingModels?.[modelId]) {
+        throw new NoSuchModelError({
+          modelId,
+          modelType: 'textEmbeddingModel',
+        });
+      }
+      return embeddingModels[modelId];
+    };
+    this.imageModel = (modelId: string) => {
+      if (!imageModels?.[modelId]) {
+        throw new NoSuchModelError({ modelId, modelType: 'imageModel' });
+      }
+      return imageModels[modelId];
+    };
+    this.transcriptionModel = (modelId: string) => {
+      if (!transcriptionModels?.[modelId]) {
+        throw new NoSuchModelError({
+          modelId,
+          modelType: 'transcriptionModel',
+        });
+      }
+      return transcriptionModels[modelId];
+    };
+    this.speechModel = (modelId: string) => {
+      if (!speechModels?.[modelId]) {
+        throw new NoSuchModelError({ modelId, modelType: 'speechModel' });
+      }
+      return speechModels[modelId];
+    };
+  }
+}
diff --git a/packages/ai/core/test/mock-server-response.ts b/packages/ai/src/test/mock-server-response.ts
similarity index 100%
rename from packages/ai/core/test/mock-server-response.ts
rename to packages/ai/src/test/mock-server-response.ts
diff --git a/packages/ai/core/test/mock-speech-model-v2.ts b/packages/ai/src/test/mock-speech-model-v2.ts
similarity index 100%
rename from packages/ai/core/test/mock-speech-model-v2.ts
rename to packages/ai/src/test/mock-speech-model-v2.ts
diff --git a/packages/ai/core/test/mock-tracer.ts b/packages/ai/src/test/mock-tracer.ts
similarity index 76%
rename from packages/ai/core/test/mock-tracer.ts
rename to packages/ai/src/test/mock-tracer.ts
index 6b6d76b94f01..931dcb39b7e5 100644
--- a/packages/ai/core/test/mock-tracer.ts
+++ b/packages/ai/src/test/mock-tracer.ts
@@ -2,9 +2,12 @@ import {
   AttributeValue,
   Attributes,
   Context,
+  Exception,
   Span,
   SpanContext,
   SpanOptions,
+  SpanStatus,
+  TimeInput,
   Tracer,
 } from '@opentelemetry/api';
 
@@ -16,6 +19,7 @@ export class MockTracer implements Tracer {
       name: span.name,
       attributes: span.attributes,
       events: span.events,
+      ...(span.status && { status: span.status }),
     }));
   }
 
@@ -67,7 +71,12 @@ class MockSpan implements Span {
   context?: Context;
   options?: SpanOptions;
   attributes: Attributes;
-  events: Array<{ name: string; attributes: Attributes | undefined }> = [];
+  events: Array<{
+    name: string;
+    attributes: Attributes | undefined;
+    time?: [number, number];
+  }> = [];
+  status?: SpanStatus;
 
   readonly _spanContext: SpanContext = new MockSpanContext();
 
@@ -111,7 +120,8 @@ class MockSpan implements Span {
   addLinks() {
     return this;
   }
-  setStatus() {
+  setStatus(status: SpanStatus) {
+    this.status = status;
     return this;
   }
   updateName() {
@@ -123,8 +133,19 @@ class MockSpan implements Span {
   isRecording() {
     return false;
   }
-  recordException() {
-    return this;
+  recordException(exception: Exception, time?: TimeInput) {
+    const error =
+      typeof exception === 'string' ? new Error(exception) : exception;
+    this.events.push({
+      name: 'exception',
+      attributes: {
+        'exception.type': error.constructor?.name || 'Error',
+        'exception.name': error.name || 'Error',
+        'exception.message': error.message || '',
+        'exception.stack': error.stack || '',
+      },
+      time: Array.isArray(time) ? time : [0, 0],
+    });
   }
 }
 
diff --git a/packages/ai/core/test/mock-transcription-model-v2.ts b/packages/ai/src/test/mock-transcription-model-v2.ts
similarity index 100%
rename from packages/ai/core/test/mock-transcription-model-v2.ts
rename to packages/ai/src/test/mock-transcription-model-v2.ts
diff --git a/packages/ai/core/test/mock-values.ts b/packages/ai/src/test/mock-values.ts
similarity index 100%
rename from packages/ai/core/test/mock-values.ts
rename to packages/ai/src/test/mock-values.ts
diff --git a/packages/ai/core/test/not-implemented.ts b/packages/ai/src/test/not-implemented.ts
similarity index 100%
rename from packages/ai/core/test/not-implemented.ts
rename to packages/ai/src/test/not-implemented.ts
diff --git a/packages/ai/src/text-stream/pipe-text-stream-to-response.test.ts b/packages/ai/src/text-stream/pipe-text-stream-to-response.test.ts
index 2c0b7a8e76bc..5a0bbff4cc43 100644
--- a/packages/ai/src/text-stream/pipe-text-stream-to-response.test.ts
+++ b/packages/ai/src/text-stream/pipe-text-stream-to-response.test.ts
@@ -1,5 +1,5 @@
 import { convertArrayToReadableStream } from '@ai-sdk/provider-utils/test';
-import { createMockServerResponse } from '../../core/test/mock-server-response';
+import { createMockServerResponse } from '../test/mock-server-response';
 import { pipeTextStreamToResponse } from './pipe-text-stream-to-response';
 
 describe('pipeTextStreamToResponse', () => {
diff --git a/packages/ai/core/tool/index.ts b/packages/ai/src/tool/index.ts
similarity index 100%
rename from packages/ai/core/tool/index.ts
rename to packages/ai/src/tool/index.ts
diff --git a/packages/ai/core/tool/mcp/json-rpc-message.ts b/packages/ai/src/tool/mcp/json-rpc-message.ts
similarity index 100%
rename from packages/ai/core/tool/mcp/json-rpc-message.ts
rename to packages/ai/src/tool/mcp/json-rpc-message.ts
diff --git a/packages/ai/core/tool/mcp/mcp-client.test.ts b/packages/ai/src/tool/mcp/mcp-client.test.ts
similarity index 95%
rename from packages/ai/core/tool/mcp/mcp-client.test.ts
rename to packages/ai/src/tool/mcp/mcp-client.test.ts
index 87f9716921d0..a9d2918f3be5 100644
--- a/packages/ai/core/tool/mcp/mcp-client.test.ts
+++ b/packages/ai/src/tool/mcp/mcp-client.test.ts
@@ -56,14 +56,17 @@ describe('MCPClient', () => {
           toolCallId: '1',
         },
       ),
-    ).toEqual({
-      content: [
-        {
-          type: 'text',
-          text: 'Mock tool call result',
-        },
-      ],
-    });
+    ).toMatchInlineSnapshot(`
+      {
+        "content": [
+          {
+            "text": "Mock tool call result",
+            "type": "text",
+          },
+        ],
+        "isError": false,
+      }
+    `);
   });
 
   it('should return typed AI SDK compatible tool set', async () => {
@@ -293,8 +296,16 @@ describe('MCPClient', () => {
     });
 
     const result = await tool.execute({}, { messages: [], toolCallId: '1' });
-    expect(result).toEqual({
-      content: [{ type: 'text', text: 'Mock tool call result' }],
-    });
+    expect(result).toMatchInlineSnapshot(`
+      {
+        "content": [
+          {
+            "text": "Mock tool call result",
+            "type": "text",
+          },
+        ],
+        "isError": false,
+      }
+    `);
   });
 });
diff --git a/packages/ai/core/tool/mcp/mcp-client.ts b/packages/ai/src/tool/mcp/mcp-client.ts
similarity index 100%
rename from packages/ai/core/tool/mcp/mcp-client.ts
rename to packages/ai/src/tool/mcp/mcp-client.ts
diff --git a/packages/ai/core/tool/mcp/mcp-sse-transport.test.ts b/packages/ai/src/tool/mcp/mcp-sse-transport.test.ts
similarity index 100%
rename from packages/ai/core/tool/mcp/mcp-sse-transport.test.ts
rename to packages/ai/src/tool/mcp/mcp-sse-transport.test.ts
diff --git a/packages/ai/core/tool/mcp/mcp-sse-transport.ts b/packages/ai/src/tool/mcp/mcp-sse-transport.ts
similarity index 100%
rename from packages/ai/core/tool/mcp/mcp-sse-transport.ts
rename to packages/ai/src/tool/mcp/mcp-sse-transport.ts
diff --git a/packages/ai/core/tool/mcp/mcp-transport.ts b/packages/ai/src/tool/mcp/mcp-transport.ts
similarity index 100%
rename from packages/ai/core/tool/mcp/mcp-transport.ts
rename to packages/ai/src/tool/mcp/mcp-transport.ts
diff --git a/packages/ai/core/tool/mcp/mock-mcp-transport.ts b/packages/ai/src/tool/mcp/mock-mcp-transport.ts
similarity index 98%
rename from packages/ai/core/tool/mcp/mock-mcp-transport.ts
rename to packages/ai/src/tool/mcp/mock-mcp-transport.ts
index e937d09a6b49..66d78382d9ec 100644
--- a/packages/ai/core/tool/mcp/mock-mcp-transport.ts
+++ b/packages/ai/src/tool/mcp/mock-mcp-transport.ts
@@ -68,7 +68,7 @@ export class MockMCPTransport implements MCPTransport {
           jsonrpc: '2.0',
           id: message.id,
           result: this.initializeResult || {
-            protocolVersion: '2024-11-05',
+            protocolVersion: '2025-06-18',
             serverInfo: {
               name: 'mock-mcp-server',
               version: '1.0.0',
diff --git a/packages/ai/core/tool/mcp/types.ts b/packages/ai/src/tool/mcp/types.ts
similarity index 98%
rename from packages/ai/core/tool/mcp/types.ts
rename to packages/ai/src/tool/mcp/types.ts
index 55f281c5e385..3181c7843567 100644
--- a/packages/ai/core/tool/mcp/types.ts
+++ b/packages/ai/src/tool/mcp/types.ts
@@ -2,10 +2,11 @@ import { z } from 'zod/v4';
 import { JSONObject } from '@ai-sdk/provider';
 import { FlexibleSchema, Tool } from '@ai-sdk/provider-utils';
 
-export const LATEST_PROTOCOL_VERSION = '2024-11-05';
+export const LATEST_PROTOCOL_VERSION = '2025-06-18';
 export const SUPPORTED_PROTOCOL_VERSIONS = [
   LATEST_PROTOCOL_VERSION,
-  '2024-10-07',
+  '2025-03-26',
+  '2024-11-05',
 ];
 
 export type ToolSchemas =
diff --git a/packages/ai/core/transcribe/index.ts b/packages/ai/src/transcribe/index.ts
similarity index 100%
rename from packages/ai/core/transcribe/index.ts
rename to packages/ai/src/transcribe/index.ts
diff --git a/packages/ai/core/transcribe/transcribe-result.ts b/packages/ai/src/transcribe/transcribe-result.ts
similarity index 100%
rename from packages/ai/core/transcribe/transcribe-result.ts
rename to packages/ai/src/transcribe/transcribe-result.ts
diff --git a/packages/ai/core/transcribe/transcribe.test.ts b/packages/ai/src/transcribe/transcribe.test.ts
similarity index 100%
rename from packages/ai/core/transcribe/transcribe.test.ts
rename to packages/ai/src/transcribe/transcribe.test.ts
diff --git a/packages/ai/core/transcribe/transcribe.ts b/packages/ai/src/transcribe/transcribe.ts
similarity index 93%
rename from packages/ai/core/transcribe/transcribe.ts
rename to packages/ai/src/transcribe/transcribe.ts
index 687da74aed85..e7d7c9e43570 100644
--- a/packages/ai/core/transcribe/transcribe.ts
+++ b/packages/ai/src/transcribe/transcribe.ts
@@ -7,6 +7,7 @@ import {
 } from '../../src/util/detect-media-type';
 import { download } from '../../src/util/download';
 import { prepareRetries } from '../../src/util/prepare-retries';
+import { UnsupportedModelVersionError } from '../error/unsupported-model-version-error';
 import { DataContent } from '../prompt';
 import { convertDataContentToUint8Array } from '../prompt/data-content';
 import { TranscriptionWarning } from '../types/transcription-model';
@@ -78,6 +79,14 @@ Only applicable for HTTP-based providers.
  */
   headers?: Record<string, string>;
 }): Promise<TranscriptionResult> {
+  if (model.specificationVersion !== 'v2') {
+    throw new UnsupportedModelVersionError({
+      version: model.specificationVersion,
+      provider: model.provider,
+      modelId: model.modelId,
+    });
+  }
+
   const { retry } = prepareRetries({ maxRetries: maxRetriesArg });
   const audioData =
     audio instanceof URL
diff --git a/packages/ai/core/types/embedding-model.ts b/packages/ai/src/types/embedding-model.ts
similarity index 100%
rename from packages/ai/core/types/embedding-model.ts
rename to packages/ai/src/types/embedding-model.ts
diff --git a/packages/ai/core/types/image-model-response-metadata.ts b/packages/ai/src/types/image-model-response-metadata.ts
similarity index 100%
rename from packages/ai/core/types/image-model-response-metadata.ts
rename to packages/ai/src/types/image-model-response-metadata.ts
diff --git a/packages/ai/core/types/image-model.ts b/packages/ai/src/types/image-model.ts
similarity index 100%
rename from packages/ai/core/types/image-model.ts
rename to packages/ai/src/types/image-model.ts
diff --git a/packages/ai/core/types/index.ts b/packages/ai/src/types/index.ts
similarity index 100%
rename from packages/ai/core/types/index.ts
rename to packages/ai/src/types/index.ts
diff --git a/packages/ai/core/types/json-value.ts b/packages/ai/src/types/json-value.ts
similarity index 100%
rename from packages/ai/core/types/json-value.ts
rename to packages/ai/src/types/json-value.ts
diff --git a/packages/ai/core/types/language-model-request-metadata.ts b/packages/ai/src/types/language-model-request-metadata.ts
similarity index 100%
rename from packages/ai/core/types/language-model-request-metadata.ts
rename to packages/ai/src/types/language-model-request-metadata.ts
diff --git a/packages/ai/core/types/language-model-response-metadata.ts b/packages/ai/src/types/language-model-response-metadata.ts
similarity index 100%
rename from packages/ai/core/types/language-model-response-metadata.ts
rename to packages/ai/src/types/language-model-response-metadata.ts
diff --git a/packages/ai/core/types/language-model.ts b/packages/ai/src/types/language-model.ts
similarity index 100%
rename from packages/ai/core/types/language-model.ts
rename to packages/ai/src/types/language-model.ts
diff --git a/packages/ai/core/types/provider-metadata.ts b/packages/ai/src/types/provider-metadata.ts
similarity index 83%
rename from packages/ai/core/types/provider-metadata.ts
rename to packages/ai/src/types/provider-metadata.ts
index 702ff62a53a5..9c4707142938 100644
--- a/packages/ai/core/types/provider-metadata.ts
+++ b/packages/ai/src/types/provider-metadata.ts
@@ -1,7 +1,4 @@
-import {
-  SharedV2ProviderMetadata,
-  SharedV2ProviderOptions,
-} from '@ai-sdk/provider';
+import { SharedV2ProviderMetadata } from '@ai-sdk/provider';
 import { z } from 'zod/v4';
 import { jsonValueSchema } from './json-value';
 
diff --git a/packages/ai/core/types/provider.ts b/packages/ai/src/types/provider.ts
similarity index 100%
rename from packages/ai/core/types/provider.ts
rename to packages/ai/src/types/provider.ts
diff --git a/packages/ai/core/types/speech-model-response-metadata.ts b/packages/ai/src/types/speech-model-response-metadata.ts
similarity index 100%
rename from packages/ai/core/types/speech-model-response-metadata.ts
rename to packages/ai/src/types/speech-model-response-metadata.ts
diff --git a/packages/ai/core/types/speech-model.ts b/packages/ai/src/types/speech-model.ts
similarity index 100%
rename from packages/ai/core/types/speech-model.ts
rename to packages/ai/src/types/speech-model.ts
diff --git a/packages/ai/core/types/transcription-model-response-metadata.ts b/packages/ai/src/types/transcription-model-response-metadata.ts
similarity index 100%
rename from packages/ai/core/types/transcription-model-response-metadata.ts
rename to packages/ai/src/types/transcription-model-response-metadata.ts
diff --git a/packages/ai/core/types/transcription-model.ts b/packages/ai/src/types/transcription-model.ts
similarity index 100%
rename from packages/ai/core/types/transcription-model.ts
rename to packages/ai/src/types/transcription-model.ts
diff --git a/packages/ai/core/types/usage.ts b/packages/ai/src/types/usage.ts
similarity index 100%
rename from packages/ai/core/types/usage.ts
rename to packages/ai/src/types/usage.ts
diff --git a/packages/ai/src/ui-message-stream/create-ui-message-stream-response.ts b/packages/ai/src/ui-message-stream/create-ui-message-stream-response.ts
index d7c5a739cc46..fbb42b83c9a4 100644
--- a/packages/ai/src/ui-message-stream/create-ui-message-stream-response.ts
+++ b/packages/ai/src/ui-message-stream/create-ui-message-stream-response.ts
@@ -1,7 +1,7 @@
 import { prepareHeaders } from '../util/prepare-headers';
 import { JsonToSseTransformStream } from './json-to-sse-transform-stream';
 import { UI_MESSAGE_STREAM_HEADERS } from './ui-message-stream-headers';
-import { UIMessageStreamPart } from './ui-message-stream-parts';
+import { UIMessageChunk } from './ui-message-chunks';
 import { UIMessageStreamResponseInit } from './ui-message-stream-response-init';
 
 export function createUIMessageStreamResponse({
@@ -11,7 +11,7 @@ export function createUIMessageStreamResponse({
   stream,
   consumeSseStream,
 }: UIMessageStreamResponseInit & {
-  stream: ReadableStream<UIMessageStreamPart>;
+  stream: ReadableStream<UIMessageChunk>;
 }): Response {
   let sseStream = stream.pipeThrough(new JsonToSseTransformStream());
 
diff --git a/packages/ai/src/ui-message-stream/create-ui-message-stream.test.ts b/packages/ai/src/ui-message-stream/create-ui-message-stream.test.ts
index ada3a49d0742..dece2d1d6e23 100644
--- a/packages/ai/src/ui-message-stream/create-ui-message-stream.test.ts
+++ b/packages/ai/src/ui-message-stream/create-ui-message-stream.test.ts
@@ -2,7 +2,7 @@ import { delay } from '@ai-sdk/provider-utils';
 import { convertReadableStreamToArray } from '@ai-sdk/provider-utils/test';
 import { DelayedPromise } from '../util/delayed-promise';
 import { createUIMessageStream } from './create-ui-message-stream';
-import { UIMessageStreamPart } from './ui-message-stream-parts';
+import { UIMessageChunk } from './ui-message-chunks';
 import { UIMessageStreamWriter } from './ui-message-stream-writer';
 import { consumeStream } from '../util/consume-stream';
 import { UIMessage } from '../ui/ui-messages';
@@ -91,8 +91,8 @@ describe('createUIMessageStream', () => {
   });
 
   it('should forward elements from multiple streams and data parts', async () => {
-    let controller1: ReadableStreamDefaultController<UIMessageStreamPart>;
-    let controller2: ReadableStreamDefaultController<UIMessageStreamPart>;
+    let controller1: ReadableStreamDefaultController<UIMessageChunk>;
+    let controller2: ReadableStreamDefaultController<UIMessageChunk>;
 
     const stream = createUIMessageStream({
       execute: ({ writer }) => {
@@ -187,8 +187,8 @@ describe('createUIMessageStream', () => {
   });
 
   it('should add error parts when stream errors', async () => {
-    let controller1: ReadableStreamDefaultController<UIMessageStreamPart>;
-    let controller2: ReadableStreamDefaultController<UIMessageStreamPart>;
+    let controller1: ReadableStreamDefaultController<UIMessageChunk>;
+    let controller2: ReadableStreamDefaultController<UIMessageChunk>;
 
     const stream = createUIMessageStream({
       execute: ({ writer }) => {
@@ -308,8 +308,8 @@ describe('createUIMessageStream', () => {
 
   it('should support writing from delayed merged streams', async () => {
     let uiMessageStreamWriter: UIMessageStreamWriter<UIMessage>;
-    let controller1: ReadableStreamDefaultController<UIMessageStreamPart>;
-    let controller2: ReadableStreamDefaultController<UIMessageStreamPart>;
+    let controller1: ReadableStreamDefaultController<UIMessageChunk>;
+    let controller2: ReadableStreamDefaultController<UIMessageChunk>;
     let done = false;
 
     const stream = createUIMessageStream({
@@ -327,7 +327,7 @@ describe('createUIMessageStream', () => {
       },
     });
 
-    const result: UIMessageStreamPart[] = [];
+    const result: UIMessageChunk[] = [];
     const reader = stream.getReader();
     async function pull() {
       const { value, done } = await reader.read();
@@ -396,6 +396,7 @@ describe('createUIMessageStream', () => {
     expect(recordedOptions).toMatchInlineSnapshot(`
       [
         {
+          "isAborted": false,
           "isContinuation": false,
           "messages": [
             {
@@ -403,6 +404,7 @@ describe('createUIMessageStream', () => {
               "metadata": undefined,
               "parts": [
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "1a",
                   "type": "text",
@@ -416,6 +418,7 @@ describe('createUIMessageStream', () => {
             "metadata": undefined,
             "parts": [
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "1a",
                 "type": "text",
@@ -459,6 +462,7 @@ describe('createUIMessageStream', () => {
     expect(recordedOptions).toMatchInlineSnapshot(`
       [
         {
+          "isAborted": false,
           "isContinuation": true,
           "messages": [
             {
@@ -480,6 +484,7 @@ describe('createUIMessageStream', () => {
                   "type": "text",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "1b",
                   "type": "text",
@@ -497,6 +502,7 @@ describe('createUIMessageStream', () => {
                 "type": "text",
               },
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "1b",
                 "type": "text",
@@ -537,6 +543,7 @@ describe('createUIMessageStream', () => {
     expect(recordedOptions).toMatchInlineSnapshot(`
       [
         {
+          "isAborted": false,
           "isContinuation": false,
           "messages": [
             {
@@ -595,6 +602,7 @@ describe('createUIMessageStream', () => {
     expect(recordedOptions).toMatchInlineSnapshot(`
       [
         {
+          "isAborted": false,
           "isContinuation": false,
           "messages": [
             {
diff --git a/packages/ai/src/ui-message-stream/create-ui-message-stream.ts b/packages/ai/src/ui-message-stream/create-ui-message-stream.ts
index a639d31f8bb8..b6bebe2c6f63 100644
--- a/packages/ai/src/ui-message-stream/create-ui-message-stream.ts
+++ b/packages/ai/src/ui-message-stream/create-ui-message-stream.ts
@@ -5,7 +5,8 @@ import {
 } from '@ai-sdk/provider-utils';
 import { UIMessage } from '../ui/ui-messages';
 import { handleUIMessageStreamFinish } from './handle-ui-message-stream-finish';
-import { InferUIMessageStreamPart } from './ui-message-stream-parts';
+import { InferUIMessageChunk } from './ui-message-chunks';
+import { UIMessageStreamOnFinishCallback } from './ui-message-stream-on-finish-callback';
 import { UIMessageStreamWriter } from './ui-message-stream-writer';
 
 export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
@@ -26,29 +27,12 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
    */
   originalMessages?: UI_MESSAGE[];
 
-  onFinish?: (options: {
-    /**
-     * The updates list of UI messages.
-     */
-    messages: UI_MESSAGE[];
-
-    /**
-     * Indicates whether the response message is a continuation of the last original message,
-     * or if a new message was created.
-     */
-    isContinuation: boolean;
-
-    /**
-     * The message that was sent to the client as a response
-     * (including the original message if it was extended).
-     */
-    responseMessage: UI_MESSAGE;
-  }) => void;
+  onFinish?: UIMessageStreamOnFinishCallback<UI_MESSAGE>;
 
   generateId?: IdGenerator;
-}): ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>> {
+}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {
   let controller!: ReadableStreamDefaultController<
-    InferUIMessageStreamPart<UI_MESSAGE>
+    InferUIMessageChunk<UI_MESSAGE>
   >;
 
   const ongoingStreamPromises: Promise<void>[] = [];
@@ -59,7 +43,7 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
     },
   });
 
-  function safeEnqueue(data: InferUIMessageStreamPart<UI_MESSAGE>) {
+  function safeEnqueue(data: InferUIMessageChunk<UI_MESSAGE>) {
     try {
       controller.enqueue(data);
     } catch (error) {
@@ -70,7 +54,7 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
   try {
     const result = execute({
       writer: {
-        write(part: InferUIMessageStreamPart<UI_MESSAGE>) {
+        write(part: InferUIMessageChunk<UI_MESSAGE>) {
           safeEnqueue(part);
         },
         merge(streamArg) {
@@ -86,7 +70,7 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
               safeEnqueue({
                 type: 'error',
                 errorText: onError(error),
-              } as InferUIMessageStreamPart<UI_MESSAGE>);
+              } as InferUIMessageChunk<UI_MESSAGE>);
             }),
           );
         },
@@ -100,7 +84,7 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
           safeEnqueue({
             type: 'error',
             errorText: onError(error),
-          } as InferUIMessageStreamPart<UI_MESSAGE>);
+          } as InferUIMessageChunk<UI_MESSAGE>);
         }),
       );
     }
@@ -108,7 +92,7 @@ export function createUIMessageStream<UI_MESSAGE extends UIMessage>({
     safeEnqueue({
       type: 'error',
       errorText: onError(error),
-    } as InferUIMessageStreamPart<UI_MESSAGE>);
+    } as InferUIMessageChunk<UI_MESSAGE>);
   }
 
   // Wait until all ongoing streams are done. This approach enables merging
diff --git a/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.test.ts b/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.test.ts
new file mode 100644
index 000000000000..f85e102505e2
--- /dev/null
+++ b/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.test.ts
@@ -0,0 +1,372 @@
+import {
+  convertArrayToReadableStream,
+  convertReadableStreamToArray,
+} from '@ai-sdk/provider-utils/test';
+import { describe, expect, it, vi } from 'vitest';
+import { UIMessage } from '../ui/ui-messages';
+import { handleUIMessageStreamFinish } from './handle-ui-message-stream-finish';
+import { UIMessageChunk } from './ui-message-chunks';
+
+function createUIMessageStream(parts: UIMessageChunk[]) {
+  return convertArrayToReadableStream(parts);
+}
+
+describe('handleUIMessageStreamFinish', () => {
+  const mockErrorHandler = vi.fn();
+
+  beforeEach(() => {
+    mockErrorHandler.mockClear();
+  });
+
+  describe('stream pass-through without onFinish', () => {
+    it('should pass through stream chunks without processing when onFinish is not provided', async () => {
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-123' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Hello' },
+        { type: 'text-delta', id: 'text-1', delta: ' World' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-123',
+        originalMessages: [],
+        onError: mockErrorHandler,
+        // onFinish is not provided
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result).toEqual(inputChunks);
+      expect(mockErrorHandler).not.toHaveBeenCalled();
+    });
+
+    it('should inject messageId when not present in start chunk', async () => {
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start' }, // no messageId
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Test' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'injected-123',
+        originalMessages: [],
+        onError: mockErrorHandler,
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result[0]).toEqual({ type: 'start', messageId: 'injected-123' });
+      expect(result.slice(1)).toEqual(inputChunks.slice(1));
+    });
+  });
+
+  describe('stream processing with onFinish callback', () => {
+    it('should process stream and call onFinish with correct parameters', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-456' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Hello' },
+        { type: 'text-delta', id: 'text-1', delta: ' World' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const originalMessages: UIMessage[] = [
+        {
+          id: 'user-msg-1',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Hello' }],
+        },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-456',
+        originalMessages,
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result).toEqual(inputChunks);
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isContinuation).toBe(false);
+      expect(callArgs.responseMessage.id).toBe('msg-456');
+      expect(callArgs.responseMessage.role).toBe('assistant');
+      expect(callArgs.messages).toHaveLength(2);
+      expect(callArgs.messages[0]).toEqual(originalMessages[0]);
+      expect(callArgs.messages[1]).toEqual(callArgs.responseMessage);
+    });
+
+    it('should handle empty original messages array', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-789' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Response' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-789',
+        originalMessages: [],
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      await convertReadableStreamToArray(resultStream);
+
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isContinuation).toBe(false);
+      expect(callArgs.messages).toHaveLength(1);
+      expect(callArgs.messages[0]).toEqual(callArgs.responseMessage);
+    });
+  });
+
+  describe('stream processing with continuation scenario', () => {
+    it('should handle continuation when last message is assistant', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'assistant-msg-1' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: ' continued' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const originalMessages: UIMessage[] = [
+        {
+          id: 'user-msg-1',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Continue this' }],
+        },
+        {
+          id: 'assistant-msg-1',
+          role: 'assistant',
+          parts: [{ type: 'text', text: 'This is' }],
+        },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-999', // this should be ignored since we're continuing
+        originalMessages,
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      await convertReadableStreamToArray(resultStream);
+
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isContinuation).toBe(true);
+      expect(callArgs.responseMessage.id).toBe('assistant-msg-1'); // uses the existing assistant message id
+      expect(callArgs.messages).toHaveLength(2); // original user message + updated assistant message
+      expect(callArgs.messages[0]).toEqual(originalMessages[0]);
+      expect(callArgs.messages[1]).toEqual(callArgs.responseMessage);
+    });
+
+    it('should not treat user message as continuation', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-001' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'New response' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const originalMessages: UIMessage[] = [
+        {
+          id: 'user-msg-1',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Question' }],
+        },
+        {
+          id: 'user-msg-2',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Another question' }],
+        },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-001',
+        originalMessages,
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      await convertReadableStreamToArray(resultStream);
+
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isContinuation).toBe(false);
+      expect(callArgs.responseMessage.id).toBe('msg-001');
+      expect(callArgs.messages).toHaveLength(3); // 2 user messages + 1 new assistant message
+    });
+  });
+
+  describe('abort scenarios', () => {
+    it('should set isAborted to true when abort chunk is encountered', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-abort-1' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Starting text' },
+        { type: 'abort' },
+        { type: 'finish' },
+      ];
+
+      const originalMessages: UIMessage[] = [
+        {
+          id: 'user-msg-1',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Test request' }],
+        },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-abort-1',
+        originalMessages,
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result).toEqual(inputChunks);
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isAborted).toBe(true);
+      expect(callArgs.isContinuation).toBe(false);
+      expect(callArgs.responseMessage.id).toBe('msg-abort-1');
+      expect(callArgs.messages).toHaveLength(2);
+    });
+
+    it('should set isAborted to false when no abort chunk is encountered', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-normal' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Complete text' },
+        { type: 'text-end', id: 'text-1' },
+        { type: 'finish' },
+      ];
+
+      const originalMessages: UIMessage[] = [
+        {
+          id: 'user-msg-1',
+          role: 'user',
+          parts: [{ type: 'text', text: 'Test request' }],
+        },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-normal',
+        originalMessages,
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      await convertReadableStreamToArray(resultStream);
+
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isAborted).toBe(false);
+      expect(callArgs.isContinuation).toBe(false);
+      expect(callArgs.responseMessage.id).toBe('msg-normal');
+    });
+
+    it('should handle abort chunk in pass-through mode without onFinish', async () => {
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-abort-passthrough' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'text-delta', id: 'text-1', delta: 'Text before abort' },
+        { type: 'abort' },
+        { type: 'finish' },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-abort-passthrough',
+        originalMessages: [],
+        onError: mockErrorHandler,
+        // onFinish is not provided
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result).toEqual(inputChunks);
+      expect(mockErrorHandler).not.toHaveBeenCalled();
+    });
+
+    it('should handle multiple abort chunks correctly', async () => {
+      const onFinishCallback = vi.fn();
+      const inputChunks: UIMessageChunk[] = [
+        { type: 'start', messageId: 'msg-multiple-abort' },
+        { type: 'text-start', id: 'text-1' },
+        { type: 'abort' },
+        { type: 'text-delta', id: 'text-1', delta: 'Some text' },
+        { type: 'abort' },
+        { type: 'finish' },
+      ];
+
+      const stream = createUIMessageStream(inputChunks);
+
+      const resultStream = handleUIMessageStreamFinish<UIMessage>({
+        stream,
+        messageId: 'msg-multiple-abort',
+        originalMessages: [],
+        onError: mockErrorHandler,
+        onFinish: onFinishCallback,
+      });
+
+      const result = await convertReadableStreamToArray(resultStream);
+
+      expect(result).toEqual(inputChunks);
+      expect(onFinishCallback).toHaveBeenCalledTimes(1);
+
+      const callArgs = onFinishCallback.mock.calls[0][0];
+      expect(callArgs.isAborted).toBe(true);
+    });
+  });
+});
diff --git a/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.ts b/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.ts
index 7f7f0b4445dc..6f61e68ac2c7 100644
--- a/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.ts
+++ b/packages/ai/src/ui-message-stream/handle-ui-message-stream-finish.ts
@@ -5,10 +5,8 @@ import {
 } from '../ui/process-ui-message-stream';
 import { UIMessage } from '../ui/ui-messages';
 import { ErrorHandler } from '../util/error-handler';
-import {
-  InferUIMessageStreamPart,
-  UIMessageStreamPart,
-} from './ui-message-stream-parts';
+import { InferUIMessageChunk, UIMessageChunk } from './ui-message-chunks';
+import { UIMessageStreamOnFinishCallback } from './ui-message-stream-on-finish-callback';
 
 export function handleUIMessageStreamFinish<UI_MESSAGE extends UIMessage>({
   messageId,
@@ -17,9 +15,13 @@ export function handleUIMessageStreamFinish<UI_MESSAGE extends UIMessage>({
   onError,
   stream,
 }: {
-  stream: ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>>;
+  stream: ReadableStream<InferUIMessageChunk<UI_MESSAGE>>;
 
-  messageId: string;
+  /**
+   * The message ID to use for the response message.
+   * If not provided, no id will be set for the response message.
+   */
+  messageId?: string;
 
   /**
    * The original messages.
@@ -28,36 +30,54 @@ export function handleUIMessageStreamFinish<UI_MESSAGE extends UIMessage>({
 
   onError: ErrorHandler;
 
-  onFinish?: (options: {
-    /**
-     * The updates list of UI messages.
-     */
-    messages: UI_MESSAGE[];
+  onFinish?: UIMessageStreamOnFinishCallback<UI_MESSAGE>;
+}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {
+  // last message is only relevant for assistant messages
+  let lastMessage: UI_MESSAGE | undefined =
+    originalMessages?.[originalMessages.length - 1];
+  if (lastMessage?.role !== 'assistant') {
+    lastMessage = undefined;
+  } else {
+    // appending to the last message, so we need to use the same id
+    messageId = lastMessage.id;
+  }
+
+  let isAborted = false;
+
+  const idInjectedStream = stream.pipeThrough(
+    new TransformStream<
+      InferUIMessageChunk<UI_MESSAGE>,
+      InferUIMessageChunk<UI_MESSAGE>
+    >({
+      transform(chunk, controller) {
+        // when there is no messageId in the start chunk,
+        // but the user checked for persistence,
+        // inject the messageId into the chunk
+        if (chunk.type === 'start') {
+          const startChunk = chunk as UIMessageChunk & { type: 'start' };
+          if (startChunk.messageId == null && messageId != null) {
+            startChunk.messageId = messageId;
+          }
+        }
+
+        if (chunk.type === 'abort') {
+          isAborted = true;
+        }
 
-    /**
-     * Indicates whether the response message is a continuation of the last original message,
-     * or if a new message was created.
-     */
-    isContinuation: boolean;
+        controller.enqueue(chunk);
+      },
+    }),
+  );
 
-    /**
-     * The message that was sent to the client as a response
-     * (including the original message if it was extended).
-     */
-    responseMessage: UI_MESSAGE;
-  }) => void;
-}): ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>> {
   if (onFinish == null) {
-    return stream;
+    return idInjectedStream;
   }
 
-  const lastMessage = originalMessages?.[originalMessages.length - 1];
-
   const state = createStreamingUIMessageState<UI_MESSAGE>({
     lastMessage: lastMessage
       ? (structuredClone(lastMessage) as UI_MESSAGE)
       : undefined,
-    messageId, // will be overridden by the stream
+    messageId: messageId ?? '', // will be overridden by the stream
   });
 
   const runUpdateMessageJob = async (
@@ -70,40 +90,22 @@ export function handleUIMessageStreamFinish<UI_MESSAGE extends UIMessage>({
   };
 
   return processUIMessageStream<UI_MESSAGE>({
-    stream: stream.pipeThrough(
-      new TransformStream<
-        InferUIMessageStreamPart<UI_MESSAGE>,
-        InferUIMessageStreamPart<UI_MESSAGE>
-      >({
-        transform(chunk, controller) {
-          // when there is no messageId in the start chunk,
-          // but the user checked for persistence,
-          // inject the messageId into the chunk
-          if (chunk.type === 'start') {
-            const startChunk = chunk as UIMessageStreamPart & { type: 'start' };
-            if (startChunk.messageId == null) {
-              startChunk.messageId = messageId;
-            }
-          }
-
-          controller.enqueue(chunk);
-        },
-      }),
-    ),
+    stream: idInjectedStream,
     runUpdateMessageJob,
     onError,
   }).pipeThrough(
     new TransformStream<
-      InferUIMessageStreamPart<UI_MESSAGE>,
-      InferUIMessageStreamPart<UI_MESSAGE>
+      InferUIMessageChunk<UI_MESSAGE>,
+      InferUIMessageChunk<UI_MESSAGE>
     >({
       transform(chunk, controller) {
         controller.enqueue(chunk);
       },
 
-      flush() {
+      async flush() {
         const isContinuation = state.message.id === lastMessage?.id;
-        onFinish({
+        await onFinish({
+          isAborted,
           isContinuation,
           responseMessage: state.message as UI_MESSAGE,
           messages: [
diff --git a/packages/ai/src/ui-message-stream/index.ts b/packages/ai/src/ui-message-stream/index.ts
index f08ec62a2f95..29da2f00ff7b 100644
--- a/packages/ai/src/ui-message-stream/index.ts
+++ b/packages/ai/src/ui-message-stream/index.ts
@@ -2,6 +2,8 @@ export { createUIMessageStream } from './create-ui-message-stream';
 export { createUIMessageStreamResponse } from './create-ui-message-stream-response';
 export { JsonToSseTransformStream } from './json-to-sse-transform-stream';
 export { pipeUIMessageStreamToResponse } from './pipe-ui-message-stream-to-response';
+export { readUIMessageStream } from './read-ui-message-stream';
+export type { InferUIMessageChunk, UIMessageChunk } from './ui-message-chunks';
 export { UI_MESSAGE_STREAM_HEADERS } from './ui-message-stream-headers';
-export type { UIMessageStreamPart } from './ui-message-stream-parts';
+export type { UIMessageStreamOnFinishCallback } from './ui-message-stream-on-finish-callback';
 export type { UIMessageStreamWriter } from './ui-message-stream-writer';
diff --git a/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.test.ts b/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.test.ts
index feefa0cac4c6..22511d2ae890 100644
--- a/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.test.ts
+++ b/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.test.ts
@@ -1,5 +1,5 @@
 import { convertArrayToReadableStream } from '@ai-sdk/provider-utils/test';
-import { createMockServerResponse } from '../../core/test/mock-server-response';
+import { createMockServerResponse } from '../test/mock-server-response';
 import { pipeUIMessageStreamToResponse } from './pipe-ui-message-stream-to-response';
 
 describe('pipeUIMessageStreamToResponse', () => {
diff --git a/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.ts b/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.ts
index 6cff77f60971..9c3b817ac9e3 100644
--- a/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.ts
+++ b/packages/ai/src/ui-message-stream/pipe-ui-message-stream-to-response.ts
@@ -3,7 +3,7 @@ import { prepareHeaders } from '../util/prepare-headers';
 import { writeToServerResponse } from '../util/write-to-server-response';
 import { JsonToSseTransformStream } from './json-to-sse-transform-stream';
 import { UI_MESSAGE_STREAM_HEADERS } from './ui-message-stream-headers';
-import { UIMessageStreamPart } from './ui-message-stream-parts';
+import { UIMessageChunk } from './ui-message-chunks';
 import { UIMessageStreamResponseInit } from './ui-message-stream-response-init';
 
 export function pipeUIMessageStreamToResponse({
@@ -15,7 +15,7 @@ export function pipeUIMessageStreamToResponse({
   consumeSseStream,
 }: {
   response: ServerResponse;
-  stream: ReadableStream<UIMessageStreamPart>;
+  stream: ReadableStream<UIMessageChunk>;
 } & UIMessageStreamResponseInit): void {
   let sseStream = stream.pipeThrough(new JsonToSseTransformStream());
 
diff --git a/packages/ai/src/ui-message-stream/read-ui-message-stream.test.ts b/packages/ai/src/ui-message-stream/read-ui-message-stream.test.ts
new file mode 100644
index 000000000000..d70356943676
--- /dev/null
+++ b/packages/ai/src/ui-message-stream/read-ui-message-stream.test.ts
@@ -0,0 +1,121 @@
+import {
+  convertArrayToReadableStream,
+  convertAsyncIterableToArray,
+} from '@ai-sdk/provider-utils/test';
+import { UIMessageChunk } from './ui-message-chunks';
+import { readUIMessageStream } from './read-ui-message-stream';
+
+function createUIMessageStream(parts: UIMessageChunk[]) {
+  return convertArrayToReadableStream(parts);
+}
+
+describe('readUIMessageStream', () => {
+  it('should return a ui message object stream for a basic input stream', async () => {
+    const stream = createUIMessageStream([
+      { type: 'start', messageId: 'msg-123' },
+      { type: 'start-step' },
+      { type: 'text-start', id: 'text-1' },
+      { type: 'text-delta', id: 'text-1', delta: 'Hello, ' },
+      { type: 'text-delta', id: 'text-1', delta: 'world!' },
+      { type: 'text-end', id: 'text-1' },
+      { type: 'finish-step' },
+      { type: 'finish' },
+    ]);
+
+    const uiMessages = readUIMessageStream({ stream });
+
+    expect(await convertAsyncIterableToArray(uiMessages))
+      .toMatchInlineSnapshot(`
+        [
+          {
+            "id": "msg-123",
+            "metadata": undefined,
+            "parts": [],
+            "role": "assistant",
+          },
+          {
+            "id": "msg-123",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "providerMetadata": undefined,
+                "state": "streaming",
+                "text": "",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+          {
+            "id": "msg-123",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "providerMetadata": undefined,
+                "state": "streaming",
+                "text": "Hello, ",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+          {
+            "id": "msg-123",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "providerMetadata": undefined,
+                "state": "streaming",
+                "text": "Hello, world!",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+          {
+            "id": "msg-123",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "providerMetadata": undefined,
+                "state": "done",
+                "text": "Hello, world!",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+        ]
+      `);
+  });
+
+  it('should throw an error when encountering an error UI stream part', async () => {
+    const stream = createUIMessageStream([
+      { type: 'start', messageId: 'msg-123' },
+      { type: 'text-start', id: 'text-1' },
+      { type: 'text-delta', id: 'text-1', delta: 'Hello' },
+      { type: 'error', errorText: 'Test error message' },
+    ]);
+
+    const uiMessages = readUIMessageStream({
+      stream,
+      terminateOnError: true,
+    });
+
+    await expect(convertAsyncIterableToArray(uiMessages)).rejects.toThrow(
+      'Test error message',
+    );
+  });
+});
diff --git a/packages/ai/src/ui-message-stream/read-ui-message-stream.ts b/packages/ai/src/ui-message-stream/read-ui-message-stream.ts
new file mode 100644
index 000000000000..0288bb41c4e1
--- /dev/null
+++ b/packages/ai/src/ui-message-stream/read-ui-message-stream.ts
@@ -0,0 +1,87 @@
+import { UIMessage } from '../ui/ui-messages';
+import { UIMessageChunk } from './ui-message-chunks';
+import {
+  createStreamingUIMessageState,
+  processUIMessageStream,
+  StreamingUIMessageState,
+} from '../ui/process-ui-message-stream';
+import {
+  AsyncIterableStream,
+  createAsyncIterableStream,
+} from '../util/async-iterable-stream';
+import { consumeStream } from '../util/consume-stream';
+
+/**
+ * Transforms a stream of `UIMessageChunk`s into an `AsyncIterableStream` of `UIMessage`s.
+ *
+ * @param options.message - The last assistant message to use as a starting point when the conversation is resumed. Otherwise undefined.
+ * @param options.stream - The stream of `UIMessageChunk`s to read.
+ * @param options.terminateOnError - Whether to terminate the stream if an error occurs.
+ * @param options.onError - A function that is called when an error occurs.
+ *
+ * @returns An `AsyncIterableStream` of `UIMessage`s. Each stream part is a different state of the same message
+ * as it is being completed.
+ */
+export function readUIMessageStream<UI_MESSAGE extends UIMessage>({
+  message,
+  stream,
+  onError,
+  terminateOnError = false,
+}: {
+  message?: UI_MESSAGE;
+  stream: ReadableStream<UIMessageChunk>;
+  onError?: (error: unknown) => void;
+  terminateOnError?: boolean;
+}): AsyncIterableStream<UI_MESSAGE> {
+  let controller: ReadableStreamDefaultController<UI_MESSAGE> | undefined;
+  let hasErrored = false;
+
+  const outputStream = new ReadableStream<UI_MESSAGE>({
+    start(controllerParam) {
+      controller = controllerParam;
+    },
+  });
+
+  const state = createStreamingUIMessageState<UI_MESSAGE>({
+    messageId: message?.id ?? '',
+    lastMessage: message,
+  });
+
+  const handleError = (error: unknown) => {
+    onError?.(error);
+
+    if (!hasErrored && terminateOnError) {
+      hasErrored = true;
+      controller?.error(error);
+    }
+  };
+
+  consumeStream({
+    stream: processUIMessageStream({
+      stream,
+      runUpdateMessageJob(
+        job: (options: {
+          state: StreamingUIMessageState<UI_MESSAGE>;
+          write: () => void;
+        }) => Promise<void>,
+      ) {
+        return job({
+          state,
+          write: () => {
+            controller?.enqueue(structuredClone(state.message));
+          },
+        });
+      },
+      onError: handleError,
+    }),
+    onError: handleError,
+  }).finally(() => {
+    // Only close if no error occurred. Calling close() on an errored controller
+    // throws "Invalid state: Controller is already closed" TypeError.
+    if (!hasErrored) {
+      controller?.close();
+    }
+  });
+
+  return createAsyncIterableStream(outputStream);
+}
diff --git a/packages/ai/src/ui-message-stream/ui-message-stream-parts.ts b/packages/ai/src/ui-message-stream/ui-message-chunks.ts
similarity index 72%
rename from packages/ai/src/ui-message-stream/ui-message-stream-parts.ts
rename to packages/ai/src/ui-message-stream/ui-message-chunks.ts
index 6ad84eab44f8..2f0184012172 100644
--- a/packages/ai/src/ui-message-stream/ui-message-stream-parts.ts
+++ b/packages/ai/src/ui-message-stream/ui-message-chunks.ts
@@ -1,26 +1,32 @@
 import { z } from 'zod/v4';
-import { ValueOf } from '../util/value-of';
+import {
+  ProviderMetadata,
+  providerMetadataSchema,
+} from '../types/provider-metadata';
 import {
   InferUIMessageData,
   InferUIMessageMetadata,
   UIDataTypes,
   UIMessage,
 } from '../ui/ui-messages';
-import { ProviderMetadata } from '../../core/types/provider-metadata';
+import { ValueOf } from '../util/value-of';
 
-export const uiMessageStreamPartSchema = z.union([
+export const uiMessageChunkSchema = z.union([
   z.strictObject({
     type: z.literal('text-start'),
     id: z.string(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('text-delta'),
     id: z.string(),
     delta: z.string(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('text-end'),
     id: z.string(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('error'),
@@ -43,6 +49,7 @@ export const uiMessageStreamPartSchema = z.union([
     toolName: z.string(),
     input: z.unknown(),
     providerExecuted: z.boolean().optional(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('tool-output-available'),
@@ -59,23 +66,23 @@ export const uiMessageStreamPartSchema = z.union([
   z.strictObject({
     type: z.literal('reasoning'),
     text: z.string(),
-    providerMetadata: z.record(z.string(), z.any()).optional(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('reasoning-start'),
     id: z.string(),
-    providerMetadata: z.record(z.string(), z.any()).optional(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('reasoning-delta'),
     id: z.string(),
     delta: z.string(),
-    providerMetadata: z.record(z.string(), z.any()).optional(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('reasoning-end'),
     id: z.string(),
-    providerMetadata: z.record(z.string(), z.any()).optional(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('reasoning-part-finish'),
@@ -85,7 +92,7 @@ export const uiMessageStreamPartSchema = z.union([
     sourceId: z.string(),
     url: z.string(),
     title: z.string().optional(),
-    providerMetadata: z.any().optional(), // Use z.any() for generic metadata
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('source-document'),
@@ -93,17 +100,19 @@ export const uiMessageStreamPartSchema = z.union([
     mediaType: z.string(),
     title: z.string(),
     filename: z.string().optional(),
-    providerMetadata: z.any().optional(), // Use z.any() for generic metadata
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.literal('file'),
     url: z.string(),
     mediaType: z.string(),
+    providerMetadata: providerMetadataSchema.optional(),
   }),
   z.strictObject({
     type: z.string().startsWith('data-'),
     id: z.string().optional(),
     data: z.unknown(),
+    transient: z.boolean().optional(),
   }),
   z.strictObject({
     type: z.literal('start-step'),
@@ -120,28 +129,49 @@ export const uiMessageStreamPartSchema = z.union([
     type: z.literal('finish'),
     messageMetadata: z.unknown().optional(),
   }),
+  z.strictObject({
+    type: z.literal('abort'),
+  }),
   z.strictObject({
     type: z.literal('message-metadata'),
     messageMetadata: z.unknown(),
   }),
 ]);
 
-export type DataUIMessageStreamPart<DATA_TYPES extends UIDataTypes> = ValueOf<{
+export type DataUIMessageChunk<DATA_TYPES extends UIDataTypes> = ValueOf<{
   [NAME in keyof DATA_TYPES & string]: {
     type: `data-${NAME}`;
     id?: string;
     data: DATA_TYPES[NAME];
+    transient?: boolean;
   };
 }>;
 
-export type UIMessageStreamPart<
+export type UIMessageChunk<
   METADATA = unknown,
   DATA_TYPES extends UIDataTypes = UIDataTypes,
 > =
-  | { type: 'text-start'; id: string }
-  | { type: 'text-delta'; delta: string; id: string }
-  | { type: 'text-end'; id: string }
-  | { type: 'reasoning-start'; id: string; providerMetadata?: ProviderMetadata }
+  | {
+      type: 'text-start';
+      id: string;
+      providerMetadata?: ProviderMetadata;
+    }
+  | {
+      type: 'text-delta';
+      delta: string;
+      id: string;
+      providerMetadata?: ProviderMetadata;
+    }
+  | {
+      type: 'text-end';
+      id: string;
+      providerMetadata?: ProviderMetadata;
+    }
+  | {
+      type: 'reasoning-start';
+      id: string;
+      providerMetadata?: ProviderMetadata;
+    }
   | {
       type: 'reasoning-delta';
       id: string;
@@ -163,6 +193,7 @@ export type UIMessageStreamPart<
       toolName: string;
       input: unknown;
       providerExecuted?: boolean;
+      providerMetadata?: ProviderMetadata;
     }
   | {
       type: 'tool-output-available';
@@ -207,7 +238,7 @@ export type UIMessageStreamPart<
       url: string;
       mediaType: string;
     }
-  | DataUIMessageStreamPart<DATA_TYPES>
+  | DataUIMessageChunk<DATA_TYPES>
   | {
       type: 'start-step';
     }
@@ -223,18 +254,21 @@ export type UIMessageStreamPart<
       type: 'finish';
       messageMetadata?: METADATA;
     }
+  | {
+      type: 'abort';
+    }
   | {
       type: 'message-metadata';
       messageMetadata: METADATA;
     };
 
-export function isDataUIMessageStreamPart(
-  part: UIMessageStreamPart,
-): part is DataUIMessageStreamPart<UIDataTypes> {
-  return part.type.startsWith('data-');
+export function isDataUIMessageChunk(
+  chunk: UIMessageChunk,
+): chunk is DataUIMessageChunk<UIDataTypes> {
+  return chunk.type.startsWith('data-');
 }
 
-export type InferUIMessageStreamPart<T extends UIMessage> = UIMessageStreamPart<
+export type InferUIMessageChunk<T extends UIMessage> = UIMessageChunk<
   InferUIMessageMetadata<T>,
   InferUIMessageData<T>
 >;
diff --git a/packages/ai/src/ui-message-stream/ui-message-stream-on-finish-callback.ts b/packages/ai/src/ui-message-stream/ui-message-stream-on-finish-callback.ts
new file mode 100644
index 000000000000..b301d5bb3cdc
--- /dev/null
+++ b/packages/ai/src/ui-message-stream/ui-message-stream-on-finish-callback.ts
@@ -0,0 +1,26 @@
+import { UIMessage } from '../ui/ui-messages';
+
+export type UIMessageStreamOnFinishCallback<UI_MESSAGE extends UIMessage> =
+  (event: {
+    /**
+     * The updated list of UI messages.
+     */
+    messages: UI_MESSAGE[];
+
+    /**
+     * Indicates whether the response message is a continuation of the last original message,
+     * or if a new message was created.
+     */
+    isContinuation: boolean;
+
+    /**
+     * Indicates whether the stream was aborted.
+     */
+    isAborted: boolean;
+
+    /**
+     * The message that was sent to the client as a response
+     * (including the original message if it was extended).
+     */
+    responseMessage: UI_MESSAGE;
+  }) => PromiseLike<void> | void;
diff --git a/packages/ai/src/ui-message-stream/ui-message-stream-writer.ts b/packages/ai/src/ui-message-stream/ui-message-stream-writer.ts
index c587e802fac3..f079e1c626b5 100644
--- a/packages/ai/src/ui-message-stream/ui-message-stream-writer.ts
+++ b/packages/ai/src/ui-message-stream/ui-message-stream-writer.ts
@@ -1,6 +1,6 @@
 import { UIMessage } from '../ui';
 import { ErrorHandler } from '../util/error-handler';
-import { InferUIMessageStreamPart } from './ui-message-stream-parts';
+import { InferUIMessageChunk } from './ui-message-chunks';
 
 export interface UIMessageStreamWriter<
   UI_MESSAGE extends UIMessage = UIMessage,
@@ -8,12 +8,12 @@ export interface UIMessageStreamWriter<
   /**
    * Appends a data stream part to the stream.
    */
-  write(part: InferUIMessageStreamPart<UI_MESSAGE>): void;
+  write(part: InferUIMessageChunk<UI_MESSAGE>): void;
 
   /**
    * Merges the contents of another stream to this stream.
    */
-  merge(stream: ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>>): void;
+  merge(stream: ReadableStream<InferUIMessageChunk<UI_MESSAGE>>): void;
 
   /**
    * Error handler that is used by the data stream writer.
diff --git a/packages/ai/src/ui/call-completion-api.ts b/packages/ai/src/ui/call-completion-api.ts
index 2a9f068299d0..2af1196e1df9 100644
--- a/packages/ai/src/ui/call-completion-api.ts
+++ b/packages/ai/src/ui/call-completion-api.ts
@@ -1,11 +1,10 @@
 import { parseJsonEventStream, ParseResult } from '@ai-sdk/provider-utils';
 import {
-  UIMessageStreamPart,
-  uiMessageStreamPartSchema,
-} from '../ui-message-stream/ui-message-stream-parts';
+  UIMessageChunk,
+  uiMessageChunkSchema,
+} from '../ui-message-stream/ui-message-chunks';
 import { consumeStream } from '../util/consume-stream';
 import { processTextStream } from './process-text-stream';
-import { UIDataTypes } from './ui-messages';
 
 // use function to allow for mocking in tests:
 const getOriginalFetch = () => fetch;
@@ -92,12 +91,9 @@ export async function callCompletionApi({
         await consumeStream({
           stream: parseJsonEventStream({
             stream: response.body,
-            schema: uiMessageStreamPartSchema,
+            schema: uiMessageChunkSchema,
           }).pipeThrough(
-            new TransformStream<
-              ParseResult<UIMessageStreamPart>,
-              UIMessageStreamPart
-            >({
+            new TransformStream<ParseResult<UIMessageChunk>, UIMessageChunk>({
               async transform(part) {
                 if (!part.success) {
                   throw part.error;
diff --git a/packages/ai/src/ui/chat-transport.ts b/packages/ai/src/ui/chat-transport.ts
index 6b2925164a80..72a4ccb84928 100644
--- a/packages/ai/src/ui/chat-transport.ts
+++ b/packages/ai/src/ui/chat-transport.ts
@@ -1,4 +1,4 @@
-import { UIMessageStreamPart } from '../ui-message-stream';
+import { UIMessageChunk } from '../ui-message-stream';
 import { ChatRequestOptions } from './chat';
 import { UIMessage } from './ui-messages';
 
@@ -9,17 +9,14 @@ export interface ChatTransport<UI_MESSAGE extends UIMessage> {
       messages: UI_MESSAGE[];
       abortSignal: AbortSignal | undefined;
     } & {
-      trigger:
-        | 'submit-user-message'
-        | 'submit-tool-result'
-        | 'regenerate-assistant-message';
+      trigger: 'submit-message' | 'regenerate-message';
       messageId: string | undefined;
     } & ChatRequestOptions,
-  ) => Promise<ReadableStream<UIMessageStreamPart>>;
+  ) => Promise<ReadableStream<UIMessageChunk>>;
 
   reconnectToStream: (
     options: {
       chatId: string;
     } & ChatRequestOptions,
-  ) => Promise<ReadableStream<UIMessageStreamPart> | null>;
+  ) => Promise<ReadableStream<UIMessageChunk> | null>;
 }
diff --git a/packages/ai/src/ui/chat.test-d.ts b/packages/ai/src/ui/chat.test-d.ts
new file mode 100644
index 000000000000..c651b1a22a9d
--- /dev/null
+++ b/packages/ai/src/ui/chat.test-d.ts
@@ -0,0 +1,222 @@
+import { z } from 'zod/v4';
+import { tool } from '@ai-sdk/provider-utils';
+import { ChatInit } from './chat';
+import { ToolSet } from '../generate-text/tool-set';
+import { InferUITools, UIDataTypes, UIMessage, UITools } from './ui-messages';
+
+type ToolCallCallback<TOOLS extends ToolSet | UITools> = NonNullable<
+  ChatInit<
+    UIMessage<
+      never,
+      UIDataTypes,
+      TOOLS extends ToolSet ? InferUITools<TOOLS> : TOOLS
+    >
+  >['onToolCall']
+>;
+
+type ToolCallArgument<TOOLS extends ToolSet | UITools> = Parameters<
+  ToolCallCallback<TOOLS>
+>[0]['toolCall'];
+
+type ToolCallReturnType<TOOLS extends ToolSet | UITools> = ReturnType<
+  ToolCallCallback<TOOLS>
+>;
+
+type ToolCallOutput<T> = T | void | Promise<T | void>;
+
+describe('onToolCall', () => {
+  describe('no helpers', () => {
+    it('single tool with output schema', () => {
+      type Tools = {
+        simple: {
+          input: number;
+          output: string;
+        };
+      };
+
+      expectTypeOf<ToolCallArgument<Tools>>().toMatchTypeOf<{
+        toolName: 'simple';
+        input: number;
+      }>();
+    });
+
+    it('single tool without output schema', () => {
+      type Tools = {
+        simple: {
+          input: number;
+          output: undefined;
+        };
+      };
+
+      expectTypeOf<ToolCallArgument<Tools>>().toMatchTypeOf<{
+        toolName: 'simple';
+        input: number;
+      }>();
+    });
+
+    it('multiple tools with output schema', () => {
+      type Tools = {
+        simple: {
+          input: number;
+          output: string;
+        };
+        complex: {
+          input: {
+            title: string;
+            description: string;
+          };
+          output: Array<{
+            message: string;
+          }>;
+        };
+      };
+
+      expectTypeOf<ToolCallArgument<Tools>>().toMatchTypeOf<
+        | {
+            toolName: 'simple';
+            input: number;
+          }
+        | {
+            toolName: 'complex';
+            input: {
+              title: string;
+              description: string;
+            };
+          }
+      >();
+    });
+
+    it('multiple tools without output schema', () => {
+      type Tools = {
+        simple: {
+          input: number;
+          output: undefined;
+        };
+        complex: {
+          input: {
+            title: string;
+            description: string;
+          };
+          output: undefined;
+        };
+      };
+
+      expectTypeOf<ToolCallArgument<Tools>>().toMatchTypeOf<
+        | {
+            toolName: 'simple';
+            input: number;
+          }
+        | {
+            toolName: 'complex';
+            input: {
+              title: string;
+              description: string;
+            };
+          }
+      >();
+    });
+  });
+
+  describe('with helpers', () => {
+    it('single tool with output schema', () => {
+      const simple = tool({
+        inputSchema: z.number(),
+        outputSchema: z.string(),
+      });
+
+      const tools = {
+        simple,
+      };
+
+      expectTypeOf<ToolCallArgument<typeof tools>>().toMatchTypeOf<{
+        toolName: 'simple';
+        input: number;
+      }>();
+    });
+
+    it('single tool without output schema', () => {
+      const simple = tool({
+        inputSchema: z.number(),
+      });
+
+      const tools = {
+        simple,
+      };
+
+      expectTypeOf<ToolCallArgument<typeof tools>>().toMatchTypeOf<{
+        toolName: 'simple';
+        input: number;
+      }>();
+    });
+
+    it('multiple tools with output schema', () => {
+      const simple = tool({
+        inputSchema: z.number(),
+        outputSchema: z.string(),
+      });
+
+      const complex = tool({
+        inputSchema: z.object({
+          title: z.string(),
+          description: z.string(),
+        }),
+        outputSchema: z.array(
+          z.object({
+            message: z.string(),
+          }),
+        ),
+      });
+
+      const tools = {
+        simple,
+        complex,
+      };
+
+      expectTypeOf<ToolCallArgument<typeof tools>>().toMatchTypeOf<
+        | {
+            toolName: 'simple';
+            input: number;
+          }
+        | {
+            toolName: 'complex';
+            input: {
+              title: string;
+              description: string;
+            };
+          }
+      >();
+    });
+
+    it('multiple tools without output schema', () => {
+      const simple = tool({
+        inputSchema: z.number(),
+      });
+
+      const complex = tool({
+        inputSchema: z.object({
+          title: z.string(),
+          description: z.string(),
+        }),
+      });
+
+      const tools = {
+        simple,
+        complex,
+      };
+
+      expectTypeOf<ToolCallArgument<typeof tools>>().toMatchTypeOf<
+        | {
+            toolName: 'simple';
+            input: number;
+          }
+        | {
+            toolName: 'complex';
+            input: {
+              title: string;
+              description: string;
+            };
+          }
+      >();
+    });
+  });
+});
diff --git a/packages/ai/src/ui/chat.test.ts b/packages/ai/src/ui/chat.test.ts
index 0e5cf1f58dba..20ae69e1d501 100644
--- a/packages/ai/src/ui/chat.test.ts
+++ b/packages/ai/src/ui/chat.test.ts
@@ -1,8 +1,14 @@
-import { createTestServer, mockId } from '@ai-sdk/provider-utils/test';
-import { DefaultChatTransport, UIMessageStreamPart } from '..';
+import {
+  createTestServer,
+  mockId,
+  TestResponseController,
+} from '@ai-sdk/provider-utils/test';
 import { createResolvablePromise } from '../util/create-resolvable-promise';
 import { AbstractChat, ChatInit, ChatState, ChatStatus } from './chat';
 import { UIMessage } from './ui-messages';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
+import { DefaultChatTransport } from './default-chat-transport';
+import { lastAssistantMessageIsCompleteWithToolCalls } from './last-assistant-message-is-complete-with-tool-calls';
 
 class TestChatState<UI_MESSAGE extends UIMessage>
   implements ChatState<UI_MESSAGE>
@@ -53,7 +59,7 @@ class TestChat extends AbstractChat<UIMessage> {
   }
 }
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -61,30 +67,30 @@ const server = createTestServer({
   'http://localhost:3000/api/chat': {},
 });
 
-describe('chat', () => {
+describe('Chat', () => {
   describe('sendMessage', () => {
     it('should send a simple message', async () => {
       server.urls['http://localhost:3000/api/chat'].response = {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'start' }),
-          formatStreamPart({ type: 'start-step' }),
-          formatStreamPart({ type: 'text-start', id: 'text-1' }),
-          formatStreamPart({
+          formatChunk({ type: 'start' }),
+          formatChunk({ type: 'start-step' }),
+          formatChunk({ type: 'text-start', id: 'text-1' }),
+          formatChunk({
             type: 'text-delta',
             id: 'text-1',
             delta: 'Hello',
           }),
-          formatStreamPart({ type: 'text-delta', id: 'text-1', delta: ',' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-delta', id: 'text-1', delta: ',' }),
+          formatChunk({
             type: 'text-delta',
             id: 'text-1',
             delta: ' world',
           }),
-          formatStreamPart({ type: 'text-delta', id: 'text-1', delta: '.' }),
-          formatStreamPart({ type: 'text-end', id: 'text-1' }),
-          formatStreamPart({ type: 'finish-step' }),
-          formatStreamPart({ type: 'finish' }),
+          formatChunk({ type: 'text-delta', id: 'text-1', delta: '.' }),
+          formatChunk({ type: 'text-end', id: 'text-1' }),
+          formatChunk({ type: 'finish-step' }),
+          formatChunk({ type: 'finish' }),
         ],
       };
 
@@ -121,7 +127,7 @@ describe('chat', () => {
               "role": "user",
             },
           ],
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `,
       );
@@ -147,6 +153,7 @@ describe('chat', () => {
                 "type": "step-start",
               },
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "Hello, world.",
                 "type": "text",
@@ -193,6 +200,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -221,6 +229,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello",
                   "type": "text",
@@ -249,6 +258,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello,",
                   "type": "text",
@@ -277,6 +287,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world",
                   "type": "text",
@@ -305,6 +316,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world.",
                   "type": "text",
@@ -333,6 +345,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hello, world.",
                   "type": "text",
@@ -349,17 +362,17 @@ describe('chat', () => {
       server.urls['http://localhost:3000/api/chat'].response = {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'start' }),
-          formatStreamPart({ type: 'start-step' }),
-          formatStreamPart({ type: 'text-start', id: 'text-1' }),
-          formatStreamPart({
+          formatChunk({ type: 'start' }),
+          formatChunk({ type: 'start-step' }),
+          formatChunk({ type: 'text-start', id: 'text-1' }),
+          formatChunk({
             type: 'text-delta',
             id: 'text-1',
             delta: 'Hello, world.',
           }),
-          formatStreamPart({ type: 'text-end', id: 'text-1' }),
-          formatStreamPart({ type: 'finish-step' }),
-          formatStreamPart({ type: 'finish' }),
+          formatChunk({ type: 'text-end', id: 'text-1' }),
+          formatChunk({ type: 'finish-step' }),
+          formatChunk({ type: 'finish' }),
         ],
       };
 
@@ -400,7 +413,7 @@ describe('chat', () => {
               "role": "user",
             },
           ],
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `,
       );
@@ -428,6 +441,7 @@ describe('chat', () => {
                 "type": "step-start",
               },
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "Hello, world.",
                 "type": "text",
@@ -478,6 +492,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -508,6 +523,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world.",
                   "type": "text",
@@ -538,6 +554,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hello, world.",
                   "type": "text",
@@ -554,24 +571,24 @@ describe('chat', () => {
       server.urls['http://localhost:3000/api/chat'].response = {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'start' }),
-          formatStreamPart({ type: 'start-step' }),
-          formatStreamPart({ type: 'text-start', id: 'text-1' }),
-          formatStreamPart({
+          formatChunk({ type: 'start' }),
+          formatChunk({ type: 'start-step' }),
+          formatChunk({ type: 'text-start', id: 'text-1' }),
+          formatChunk({
             type: 'text-delta',
             id: 'text-1',
             delta: 'Hello',
           }),
-          formatStreamPart({ type: 'text-delta', id: 'text-1', delta: ',' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-delta', id: 'text-1', delta: ',' }),
+          formatChunk({
             type: 'text-delta',
             id: 'text-1',
             delta: ' world',
           }),
-          formatStreamPart({ type: 'text-delta', id: 'text-1', delta: '.' }),
-          formatStreamPart({ type: 'text-end', id: 'text-1' }),
-          formatStreamPart({ type: 'finish-step' }),
-          formatStreamPart({ type: 'finish' }),
+          formatChunk({ type: 'text-delta', id: 'text-1', delta: '.' }),
+          formatChunk({ type: 'text-end', id: 'text-1' }),
+          formatChunk({ type: 'finish-step' }),
+          formatChunk({ type: 'finish' }),
         ],
       };
 
@@ -624,7 +641,7 @@ describe('chat', () => {
               "role": "user",
             },
           ],
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `,
       );
@@ -650,6 +667,7 @@ describe('chat', () => {
                 "type": "step-start",
               },
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "Hello, world.",
                 "type": "text",
@@ -718,6 +736,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -746,6 +765,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello",
                   "type": "text",
@@ -774,6 +794,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello,",
                   "type": "text",
@@ -802,6 +823,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world",
                   "type": "text",
@@ -830,6 +852,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world.",
                   "type": "text",
@@ -858,6 +881,7 @@ describe('chat', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hello, world.",
                   "type": "text",
@@ -870,4 +894,294 @@ describe('chat', () => {
       `);
     });
   });
+
+  describe('sendAutomaticallyWhen', () => {
+    it('should delay tool result submission until the stream is finished', async () => {
+      const controller1 = new TestResponseController();
+
+      server.urls['http://localhost:3000/api/chat'].response = [
+        { type: 'controlled-stream', controller: controller1 },
+        { type: 'stream-chunks', chunks: [formatChunk({ type: 'start' })] },
+      ];
+
+      const toolCallPromise = createResolvablePromise<void>();
+      const submitMessagePromise = createResolvablePromise<void>();
+      let callCount = 0;
+
+      const chat = new TestChat({
+        id: '123',
+        generateId: mockId(),
+        transport: new DefaultChatTransport({
+          api: 'http://localhost:3000/api/chat',
+        }),
+        sendAutomaticallyWhen: () => callCount < 2,
+        onToolCall: () => toolCallPromise.resolve(),
+        onFinish: () => {
+          callCount++;
+        },
+      });
+
+      chat
+        .sendMessage({
+          text: 'Hello, world!',
+        })
+        .then(() => {
+          submitMessagePromise.resolve();
+        });
+
+      // start stream
+      controller1.write(formatChunk({ type: 'start' }));
+      controller1.write(formatChunk({ type: 'start-step' }));
+
+      // tool call
+      controller1.write(
+        formatChunk({
+          type: 'tool-input-available',
+          toolCallId: 'tool-call-0',
+          toolName: 'test-tool',
+          input: { testArg: 'test-value' },
+        }),
+      );
+
+      await toolCallPromise.promise;
+
+      // user submits the tool result
+      await chat.addToolResult({
+        tool: 'test-tool',
+        toolCallId: 'tool-call-0',
+        output: 'test-result',
+      });
+
+      // UI should show the tool result
+      expect(chat.messages).toMatchInlineSnapshot(`
+        [
+          {
+            "id": "id-0",
+            "metadata": undefined,
+            "parts": [
+              {
+                "text": "Hello, world!",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+          {
+            "id": "id-1",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "errorText": undefined,
+                "input": {
+                  "testArg": "test-value",
+                },
+                "output": "test-result",
+                "providerExecuted": undefined,
+                "state": "output-available",
+                "toolCallId": "tool-call-0",
+                "type": "tool-test-tool",
+              },
+            ],
+            "role": "assistant",
+          },
+        ]
+      `);
+
+      // should not have called the API yet
+      expect(server.calls.length).toBe(1);
+
+      // finish stream
+      controller1.write(formatChunk({ type: 'finish-step' }));
+      controller1.write(formatChunk({ type: 'finish' }));
+
+      await controller1.close();
+
+      await submitMessagePromise.promise;
+
+      // 2nd call should happen after the stream is finished
+      expect(server.calls.length).toBe(2);
+
+      // check details of the 2nd call
+      expect(await server.calls[1].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "id": "123",
+          "messageId": "id-1",
+          "messages": [
+            {
+              "id": "id-0",
+              "parts": [
+                {
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+              ],
+              "role": "user",
+            },
+            {
+              "id": "id-1",
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "input": {
+                    "testArg": "test-value",
+                  },
+                  "output": "test-result",
+                  "state": "output-available",
+                  "toolCallId": "tool-call-0",
+                  "type": "tool-test-tool",
+                },
+              ],
+              "role": "assistant",
+            },
+          ],
+          "trigger": "submit-message",
+        }
+      `);
+    });
+
+    it('should send message when a tool result is submitted', async () => {
+      server.urls['http://localhost:3000/api/chat'].response = [
+        {
+          type: 'stream-chunks',
+          chunks: [
+            formatChunk({ type: 'start' }),
+            formatChunk({ type: 'start-step' }),
+            formatChunk({
+              type: 'tool-input-available',
+              toolCallId: 'tool-call-0',
+              toolName: 'test-tool',
+              input: { testArg: 'test-value' },
+            }),
+            formatChunk({ type: 'finish-step' }),
+            formatChunk({ type: 'finish' }),
+          ],
+        },
+        {
+          type: 'stream-chunks',
+          chunks: [
+            formatChunk({ type: 'start' }),
+            formatChunk({ type: 'start-step' }),
+            formatChunk({ type: 'finish-step' }),
+            formatChunk({ type: 'finish' }),
+          ],
+        },
+      ];
+
+      let callCount = 0;
+      const onFinishPromise = createResolvablePromise<void>();
+
+      const chat = new TestChat({
+        id: '123',
+        generateId: mockId(),
+        transport: new DefaultChatTransport({
+          api: 'http://localhost:3000/api/chat',
+        }),
+        sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls,
+        onFinish: () => {
+          callCount++;
+          if (callCount === 2) {
+            onFinishPromise.resolve();
+          }
+        },
+      });
+
+      await chat.sendMessage({
+        text: 'Hello, world!',
+      });
+
+      // user submits the tool result
+      await chat.addToolResult({
+        tool: 'test-tool',
+        toolCallId: 'tool-call-0',
+        output: 'test-result',
+      });
+
+      // UI should show the tool result
+      expect(chat.messages).toMatchInlineSnapshot(`
+        [
+          {
+            "id": "id-0",
+            "metadata": undefined,
+            "parts": [
+              {
+                "text": "Hello, world!",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+          {
+            "id": "id-1",
+            "metadata": undefined,
+            "parts": [
+              {
+                "type": "step-start",
+              },
+              {
+                "errorText": undefined,
+                "input": {
+                  "testArg": "test-value",
+                },
+                "output": "test-result",
+                "providerExecuted": undefined,
+                "state": "output-available",
+                "toolCallId": "tool-call-0",
+                "type": "tool-test-tool",
+              },
+            ],
+            "role": "assistant",
+          },
+        ]
+      `);
+
+      await onFinishPromise.promise;
+
+      // 2nd call should happen after the stream is finished
+      expect(server.calls.length).toBe(2);
+
+      // check details of the 2nd call
+      expect(await server.calls[1].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "id": "123",
+          "messageId": "id-1",
+          "messages": [
+            {
+              "id": "id-0",
+              "parts": [
+                {
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+              ],
+              "role": "user",
+            },
+            {
+              "id": "id-1",
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "input": {
+                    "testArg": "test-value",
+                  },
+                  "output": "test-result",
+                  "state": "output-available",
+                  "toolCallId": "tool-call-0",
+                  "type": "tool-test-tool",
+                },
+              ],
+              "role": "assistant",
+            },
+          ],
+          "trigger": "submit-message",
+        }
+      `);
+    });
+  });
 });
diff --git a/packages/ai/src/ui/chat.ts b/packages/ai/src/ui/chat.ts
index 0c09e33ae18e..183c1fb972b8 100644
--- a/packages/ai/src/ui/chat.ts
+++ b/packages/ai/src/ui/chat.ts
@@ -2,9 +2,9 @@ import {
   generateId as generateIdFunc,
   IdGenerator,
   StandardSchemaV1,
-  ToolCall,
   Validator,
 } from '@ai-sdk/provider-utils';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
 import { consumeStream } from '../util/consume-stream';
 import { SerialJobExecutor } from '../util/serial-job-executor';
 import { ChatTransport } from './chat-transport';
@@ -16,20 +16,16 @@ import {
   StreamingUIMessageState,
 } from './process-ui-message-stream';
 import {
-  isAssistantMessageWithCompletedToolCalls,
-  shouldResubmitMessages,
-} from './should-resubmit-messages';
-import {
+  InferUIMessageToolCall,
   isToolUIPart,
+  type DataUIPart,
   type FileUIPart,
   type InferUIMessageData,
   type InferUIMessageMetadata,
   type InferUIMessageTools,
-  type ToolUIPart,
   type UIDataTypes,
   type UIMessage,
 } from './ui-messages';
-import { UIMessageStreamPart } from '../ui-message-stream/ui-message-stream-parts';
 
 export type CreateUIMessage<UI_MESSAGE extends UIMessage> = Omit<
   UI_MESSAGE,
@@ -90,6 +86,21 @@ export interface ChatState<UI_MESSAGE extends UIMessage> {
   snapshot: <T>(thing: T) => T;
 }
 
+export type ChatOnErrorCallback = (error: Error) => void;
+
+export type ChatOnToolCallCallback<UI_MESSAGE extends UIMessage = UIMessage> =
+  (options: {
+    toolCall: InferUIMessageToolCall<UI_MESSAGE>;
+  }) => void | PromiseLike<void>;
+
+export type ChatOnDataCallback<UI_MESSAGE extends UIMessage> = (
+  dataPart: DataUIPart<InferUIMessageData<UI_MESSAGE>>,
+) => void;
+
+export type ChatOnFinishCallback<UI_MESSAGE extends UIMessage> = (options: {
+  message: UI_MESSAGE;
+}) => void;
+
 export interface ChatInit<UI_MESSAGE extends UIMessage> {
   /**
    * A unique identifier for the chat. If not provided, a random one will be
@@ -112,12 +123,10 @@ export interface ChatInit<UI_MESSAGE extends UIMessage> {
 
   transport?: ChatTransport<UI_MESSAGE>;
 
-  maxSteps?: number;
-
   /**
    * Callback function to be called when an error is encountered.
    */
-  onError?: (error: Error) => void;
+  onError?: ChatOnErrorCallback;
 
   /**
   Optional callback function that is invoked when a tool call is received.
@@ -126,18 +135,29 @@ export interface ChatInit<UI_MESSAGE extends UIMessage> {
   You can optionally return a result for the tool call,
   either synchronously or asynchronously.
      */
-  onToolCall?: ({
-    toolCall,
-  }: {
-    toolCall: ToolCall<string, unknown>;
-  }) => void | Promise<unknown> | unknown;
+  onToolCall?: ChatOnToolCallCallback<UI_MESSAGE>;
 
   /**
    * Optional callback function that is called when the assistant message is finished streaming.
    *
    * @param message The message that was streamed.
    */
-  onFinish?: (options: { message: UI_MESSAGE }) => void;
+  onFinish?: ChatOnFinishCallback<UI_MESSAGE>;
+
+  /**
+   * Optional callback function that is called when a data part is received.
+   *
+   * @param data The data part that was received.
+   */
+  onData?: ChatOnDataCallback<UI_MESSAGE>;
+
+  /**
+   * When provided, this function will be called when the stream is finished or a tool call is added
+   * to determine if the current messages should be resubmitted.
+   */
+  sendAutomaticallyWhen?: (options: {
+    messages: UI_MESSAGE[];
+  }) => boolean | PromiseLike<boolean>;
 }
 
 export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
@@ -154,10 +174,11 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     | UIDataTypesToSchemas<InferUIMessageData<UI_MESSAGE>>
     | undefined;
   private readonly transport: ChatTransport<UI_MESSAGE>;
-  private maxSteps: number;
   private onError?: ChatInit<UI_MESSAGE>['onError'];
   private onToolCall?: ChatInit<UI_MESSAGE>['onToolCall'];
   private onFinish?: ChatInit<UI_MESSAGE>['onFinish'];
+  private onData?: ChatInit<UI_MESSAGE>['onData'];
+  private sendAutomaticallyWhen?: ChatInit<UI_MESSAGE>['sendAutomaticallyWhen'];
 
   private activeResponse: ActiveResponse<UI_MESSAGE> | undefined = undefined;
   private jobExecutor = new SerialJobExecutor();
@@ -166,18 +187,18 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     generateId = generateIdFunc,
     id = generateId(),
     transport = new DefaultChatTransport(),
-    maxSteps = 1,
     messageMetadataSchema,
     dataPartSchemas,
     state,
     onError,
     onToolCall,
     onFinish,
+    onData,
+    sendAutomaticallyWhen,
   }: Omit<ChatInit<UI_MESSAGE>, 'messages'> & {
     state: ChatState<UI_MESSAGE>;
   }) {
     this.id = id;
-    this.maxSteps = maxSteps;
     this.transport = transport;
     this.generateId = generateId;
     this.messageMetadataSchema = messageMetadataSchema;
@@ -186,6 +207,8 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     this.onError = onError;
     this.onToolCall = onToolCall;
     this.onFinish = onFinish;
+    this.onData = onData;
+    this.sendAutomaticallyWhen = sendAutomaticallyWhen;
   }
 
   /**
@@ -236,7 +259,7 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
    * If a messageId is provided, the message will be replaced.
    */
   sendMessage = async (
-    message:
+    message?:
       | (CreateUIMessage<UI_MESSAGE> & {
           text?: never;
           files?: never;
@@ -255,8 +278,17 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
           parts?: never;
           messageId?: string;
         },
-    options: ChatRequestOptions = {},
+    options?: ChatRequestOptions,
   ): Promise<void> => {
+    if (message == null) {
+      await this.makeRequest({
+        trigger: 'submit-message',
+        messageId: this.lastMessage?.id,
+        ...options,
+      });
+      return;
+    }
+
     let uiMessage: CreateUIMessage<UI_MESSAGE>;
 
     if ('text' in message || 'files' in message) {
@@ -311,7 +343,7 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     }
 
     await this.makeRequest({
-      trigger: 'submit-user-message',
+      trigger: 'submit-message',
       messageId: message.messageId,
       ...options,
     });
@@ -346,7 +378,7 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     );
 
     await this.makeRequest({
-      trigger: 'regenerate-assistant-message',
+      trigger: 'regenerate-message',
       messageId,
       ...options,
     });
@@ -359,37 +391,56 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     await this.makeRequest({ trigger: 'resume-stream', ...options });
   };
 
-  addToolResult = async ({
+  addToolResult = async <TOOL extends keyof InferUIMessageTools<UI_MESSAGE>>({
+    tool,
     toolCallId,
     output,
   }: {
+    tool: TOOL;
     toolCallId: string;
-    output: unknown;
-  }) => {
+    output: InferUIMessageTools<UI_MESSAGE>[TOOL]['output'];
+  }) =>
     this.jobExecutor.run(async () => {
-      updateToolOutput({
-        messages: this.state.messages,
-        toolCallId,
-        output,
+      const messages = this.state.messages;
+      const lastMessage = messages[messages.length - 1];
+
+      this.state.replaceMessage(messages.length - 1, {
+        ...lastMessage,
+        parts: lastMessage.parts.map(part =>
+          isToolUIPart(part) && part.toolCallId === toolCallId
+            ? { ...part, state: 'output-available', output }
+            : part,
+        ),
       });
 
-      this.messages = this.state.messages;
-
-      // when the request is ongoing, the auto-submit will be triggered after the request is finished
-      if (this.status === 'submitted' || this.status === 'streaming') {
-        return;
+      // update the active response if it exists
+      if (this.activeResponse) {
+        this.activeResponse.state.message.parts =
+          this.activeResponse.state.message.parts.map(part =>
+            isToolUIPart(part) && part.toolCallId === toolCallId
+              ? {
+                  ...part,
+                  state: 'output-available',
+                  output,
+                  errorText: undefined,
+                }
+              : part,
+          );
       }
 
-      // auto-submit when all tool calls in the last assistant message have results:
-      const lastMessage = this.lastMessage;
-      if (isAssistantMessageWithCompletedToolCalls(lastMessage)) {
-        // we do not await this call to avoid a deadlock in the serial job executor; triggerRequest also uses the job executor internally.
+      // automatically send the message if the sendAutomaticallyWhen function returns true
+      if (
+        this.status !== 'streaming' &&
+        this.status !== 'submitted' &&
+        this.sendAutomaticallyWhen?.({ messages: this.state.messages })
+      ) {
+        // no await to avoid deadlocking
         this.makeRequest({
-          trigger: 'submit-tool-result',
+          trigger: 'submit-message',
+          messageId: this.lastMessage?.id,
         });
       }
     });
-  };
 
   /**
    * Abort the current request immediately, keep the generated tokens if any.
@@ -409,19 +460,12 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
     body,
     messageId,
   }: {
-    trigger:
-      | 'submit-user-message'
-      | 'resume-stream'
-      | 'submit-tool-result'
-      | 'regenerate-assistant-message';
+    trigger: 'submit-message' | 'resume-stream' | 'regenerate-message';
     messageId?: string;
   } & ChatRequestOptions) {
     this.setStatus({ status: 'submitted', error: undefined });
 
-    const messageCount = this.state.messages.length;
     const lastMessage = this.lastMessage;
-    const maxStep =
-      lastMessage?.parts.filter(part => part.type === 'step-start').length ?? 0; // TODO: should this be 1?
 
     try {
       const activeResponse = {
@@ -434,7 +478,7 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
 
       this.activeResponse = activeResponse;
 
-      let stream: ReadableStream<UIMessageStreamPart>;
+      let stream: ReadableStream<UIMessageChunk>;
 
       if (trigger === 'resume-stream') {
         const reconnect = await this.transport.reconnectToStream({
@@ -495,6 +539,7 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
         stream: processUIMessageStream({
           stream,
           onToolCall: this.onToolCall,
+          onData: this.onData,
           messageMetadataSchema: this.messageMetadataSchema,
           dataPartSchemas: this.dataPartSchemas,
           runUpdateMessageJob,
@@ -526,60 +571,15 @@ export abstract class AbstractChat<UI_MESSAGE extends UIMessage> {
       this.activeResponse = undefined;
     }
 
-    // auto-submit when all tool calls in the last assistant message have results
-    // and assistant has not answered yet
-    if (
-      shouldResubmitMessages({
-        originalMaxToolInvocationStep: maxStep,
-        originalMessageCount: messageCount,
-        maxSteps: this.maxSteps,
-        messages: this.state.messages,
-      })
-    ) {
+    // automatically send the message if the sendAutomaticallyWhen function returns true
+    if (this.sendAutomaticallyWhen?.({ messages: this.state.messages })) {
       await this.makeRequest({
+        trigger: 'submit-message',
+        messageId: this.lastMessage?.id,
         metadata,
         headers,
         body,
-        // secondary requests are triggered by automatic tool execution
-        trigger: 'submit-tool-result',
       });
     }
   }
 }
-
-/**
- * Updates the result of a specific tool invocation in the last message of the given messages array.
- *
- * @param {object} params - The parameters object.
- * @param {UIMessage[]} params.messages - An array of messages, from which the last one is updated.
- * @param {string} params.toolCallId - The unique identifier for the tool invocation to update.
- * @param {unknown} params.toolResult - The result object to attach to the tool invocation.
- * @returns {void} This function does not return anything.
- */
-function updateToolOutput<UI_MESSAGE extends UIMessage>({
-  messages,
-  toolCallId,
-  output,
-}: {
-  messages: UI_MESSAGE[];
-  toolCallId: string;
-  output: unknown;
-}) {
-  const lastMessage = messages[messages.length - 1];
-
-  const toolPart = lastMessage.parts.find(
-    (part): part is ToolUIPart<InferUIMessageTools<UI_MESSAGE>> =>
-      isToolUIPart(part) && part.toolCallId === toolCallId,
-  );
-
-  if (toolPart == null) {
-    return;
-  }
-
-  toolPart.state = 'output-available';
-  (
-    toolPart as ToolUIPart<InferUIMessageTools<UI_MESSAGE>> & {
-      state: 'output-available';
-    }
-  ).output = output;
-}
diff --git a/packages/ai/src/ui/convert-to-model-messages.test.ts b/packages/ai/src/ui/convert-to-model-messages.test.ts
index 187fa81893c2..84d6c33ad8b1 100644
--- a/packages/ai/src/ui/convert-to-model-messages.test.ts
+++ b/packages/ai/src/ui/convert-to-model-messages.test.ts
@@ -71,7 +71,7 @@ describe('convertToModelMessages', () => {
   });
 
   describe('assistant message', () => {
-    it('should convert a simple assistant message', () => {
+    it('should convert a simple assistant text message', () => {
       const result = convertToModelMessages([
         {
           role: 'assistant',
@@ -87,6 +87,41 @@ describe('convertToModelMessages', () => {
       ]);
     });
 
+    it('should convert a simple assistant text message with provider metadata', () => {
+      const result = convertToModelMessages([
+        {
+          role: 'assistant',
+          parts: [
+            {
+              type: 'text',
+              text: 'Hello, human!',
+              state: 'done',
+              providerMetadata: { testProvider: { signature: '1234567890' } },
+            },
+          ],
+        },
+      ]);
+
+      expect(result).toMatchInlineSnapshot(`
+        [
+          {
+            "content": [
+              {
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "1234567890",
+                  },
+                },
+                "text": "Hello, human!",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+        ]
+      `);
+    });
+
     it('should convert an assistant message with reasoning', () => {
       const result = convertToModelMessages([
         {
@@ -180,6 +215,11 @@ describe('convertToModelMessages', () => {
               toolCallId: 'call1',
               input: { operation: 'add', numbers: [1, 2] },
               output: '3',
+              callProviderMetadata: {
+                testProvider: {
+                  signature: '1234567890',
+                },
+              },
             },
           ],
         },
@@ -202,6 +242,11 @@ describe('convertToModelMessages', () => {
                   "operation": "add",
                 },
                 "providerExecuted": undefined,
+                "providerOptions": {
+                  "testProvider": {
+                    "signature": "1234567890",
+                  },
+                },
                 "toolCallId": "call1",
                 "toolName": "calculator",
                 "type": "tool-call",
@@ -661,4 +706,96 @@ describe('convertToModelMessages', () => {
       }).toThrow('Unsupported role: unknown');
     });
   });
+
+  describe('when ignoring incomplete tool calls', () => {
+    it('should handle conversation with multiple tool invocations and user message at the end', () => {
+      const result = convertToModelMessages(
+        [
+          {
+            role: 'assistant',
+            parts: [
+              { type: 'step-start' },
+              {
+                type: 'tool-screenshot',
+                state: 'output-available',
+                toolCallId: 'call-1',
+                input: { value: 'value-1' },
+                output: 'result-1',
+              },
+              { type: 'step-start' },
+              {
+                type: 'tool-screenshot',
+                state: 'input-streaming',
+                toolCallId: 'call-2',
+                input: { value: 'value-2' },
+              },
+              {
+                type: 'tool-screenshot',
+                state: 'input-available',
+                toolCallId: 'call-3',
+                input: { value: 'value-3' },
+              },
+              { type: 'text', text: 'response', state: 'done' },
+            ],
+          },
+          {
+            role: 'user',
+            parts: [{ type: 'text', text: 'Thanks!' }],
+          },
+        ],
+        { ignoreIncompleteToolCalls: true },
+      );
+
+      expect(result).toMatchInlineSnapshot(`
+        [
+          {
+            "content": [
+              {
+                "input": {
+                  "value": "value-1",
+                },
+                "providerExecuted": undefined,
+                "toolCallId": "call-1",
+                "toolName": "screenshot",
+                "type": "tool-call",
+              },
+            ],
+            "role": "assistant",
+          },
+          {
+            "content": [
+              {
+                "output": {
+                  "type": "text",
+                  "value": "result-1",
+                },
+                "toolCallId": "call-1",
+                "toolName": "screenshot",
+                "type": "tool-result",
+              },
+            ],
+            "role": "tool",
+          },
+          {
+            "content": [
+              {
+                "text": "response",
+                "type": "text",
+              },
+            ],
+            "role": "assistant",
+          },
+          {
+            "content": [
+              {
+                "text": "Thanks!",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ]
+      `);
+    });
+  });
 });
diff --git a/packages/ai/src/ui/convert-to-model-messages.ts b/packages/ai/src/ui/convert-to-model-messages.ts
index 0092d9f86435..8480c846c6c8 100644
--- a/packages/ai/src/ui/convert-to-model-messages.ts
+++ b/packages/ai/src/ui/convert-to-model-messages.ts
@@ -3,9 +3,9 @@ import {
   ModelMessage,
   ToolResultPart,
 } from '@ai-sdk/provider-utils';
-import { ToolSet } from '../../core/generate-text/tool-set';
-import { createToolModelOutput } from '../../core/prompt/create-tool-model-output';
-import { MessageConversionError } from '../../core/prompt/message-conversion-error';
+import { ToolSet } from '../generate-text/tool-set';
+import { createToolModelOutput } from '../prompt/create-tool-model-output';
+import { MessageConversionError } from '../prompt/message-conversion-error';
 import {
   FileUIPart,
   getToolName,
@@ -20,13 +20,32 @@ import {
 /**
 Converts an array of messages from useChat into an array of CoreMessages that can be used
 with the AI core functions (e.g. `streamText`).
+
+@param messages - The messages to convert.
+@param options.tools - The tools to use.
+@param options.ignoreIncompleteToolCalls - Whether to ignore incomplete tool calls. Default is `false`.
  */
 export function convertToModelMessages(
   messages: Array<Omit<UIMessage, 'id'>>,
-  options?: { tools?: ToolSet },
+  options?: {
+    tools?: ToolSet;
+    ignoreIncompleteToolCalls?: boolean;
+  },
 ): ModelMessage[] {
   const modelMessages: ModelMessage[] = [];
 
+  if (options?.ignoreIncompleteToolCalls) {
+    messages = messages.map(message => ({
+      ...message,
+      parts: message.parts.filter(
+        part =>
+          !isToolUIPart(part) ||
+          (part.state !== 'input-streaming' &&
+            part.state !== 'input-available'),
+      ),
+    }));
+  }
+
   for (const message of messages) {
     switch (message.role) {
       case 'system': {
@@ -88,6 +107,9 @@ export function convertToModelMessages(
                 content.push({
                   type: 'text' as const,
                   text: part.text,
+                  ...(part.providerMetadata != null
+                    ? { providerOptions: part.providerMetadata }
+                    : {}),
                 });
               } else if (part.type === 'file') {
                 content.push({
@@ -116,6 +138,9 @@ export function convertToModelMessages(
                     toolName,
                     input: part.input,
                     providerExecuted: part.providerExecuted,
+                    ...(part.callProviderMetadata != null
+                      ? { providerOptions: part.callProviderMetadata }
+                      : {}),
                   });
 
                   if (
diff --git a/packages/ai/src/ui/default-chat-transport.ts b/packages/ai/src/ui/default-chat-transport.ts
index 5b7ae82fae78..c9d1b43a0fe0 100644
--- a/packages/ai/src/ui/default-chat-transport.ts
+++ b/packages/ai/src/ui/default-chat-transport.ts
@@ -1,8 +1,8 @@
 import { parseJsonEventStream, ParseResult } from '@ai-sdk/provider-utils';
 import {
-  UIMessageStreamPart,
-  uiMessageStreamPartSchema,
-} from '../ui-message-stream/ui-message-stream-parts';
+  UIMessageChunk,
+  uiMessageChunkSchema,
+} from '../ui-message-stream/ui-message-chunks';
 import {
   HttpChatTransport,
   HttpChatTransportInitOptions,
@@ -18,20 +18,17 @@ export class DefaultChatTransport<
 
   protected processResponseStream(
     stream: ReadableStream<Uint8Array<ArrayBufferLike>>,
-  ): ReadableStream<UIMessageStreamPart> {
+  ): ReadableStream<UIMessageChunk> {
     return parseJsonEventStream({
       stream,
-      schema: uiMessageStreamPartSchema,
+      schema: uiMessageChunkSchema,
     }).pipeThrough(
-      new TransformStream<
-        ParseResult<UIMessageStreamPart>,
-        UIMessageStreamPart
-      >({
-        async transform(part, controller) {
-          if (!part.success) {
-            throw part.error;
+      new TransformStream<ParseResult<UIMessageChunk>, UIMessageChunk>({
+        async transform(chunk, controller) {
+          if (!chunk.success) {
+            throw chunk.error;
           }
-          controller.enqueue(part.value);
+          controller.enqueue(chunk.value);
         },
       }),
     );
diff --git a/packages/ai/src/ui/http-chat-transport.test.ts b/packages/ai/src/ui/http-chat-transport.test.ts
index ba4f4a162948..c7faf8858b07 100644
--- a/packages/ai/src/ui/http-chat-transport.test.ts
+++ b/packages/ai/src/ui/http-chat-transport.test.ts
@@ -1,5 +1,5 @@
 import { createTestServer } from '@ai-sdk/provider-utils/test';
-import { UIMessageStreamPart } from '../ui-message-stream/ui-message-stream-parts';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
 import {
   HttpChatTransport,
   HttpChatTransportInitOptions,
@@ -12,7 +12,7 @@ class MockHttpChatTransport extends HttpChatTransport<UIMessage> {
   }
   protected processResponseStream(
     stream: ReadableStream<Uint8Array<ArrayBufferLike>>,
-  ): ReadableStream<UIMessageStreamPart> {
+  ): ReadableStream<UIMessageChunk> {
     return new ReadableStream();
   }
 }
@@ -37,7 +37,7 @@ describe('HttpChatTransport', () => {
       await transport.sendMessages({
         chatId: 'c123',
         messageId: 'm123',
-        trigger: 'submit-user-message',
+        trigger: 'submit-message',
         messages: [
           {
             id: 'm123',
@@ -65,9 +65,118 @@ describe('HttpChatTransport', () => {
             },
           ],
           "someData": true,
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `);
     });
+
+    it('should include the body in the request when a function is provided', async () => {
+      server.urls['http://localhost/api/chat'].response = {
+        type: 'stream-chunks',
+        chunks: [],
+      };
+
+      const transport = new MockHttpChatTransport({
+        api: 'http://localhost/api/chat',
+        body: () => ({ someData: true }),
+      });
+
+      await transport.sendMessages({
+        chatId: 'c123',
+        messageId: 'm123',
+        trigger: 'submit-message',
+        messages: [
+          {
+            id: 'm123',
+            role: 'user',
+            parts: [{ text: 'Hello, world!', type: 'text' }],
+          },
+        ],
+        abortSignal: new AbortController().signal,
+      });
+
+      expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "id": "c123",
+          "messageId": "m123",
+          "messages": [
+            {
+              "id": "m123",
+              "parts": [
+                {
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+              ],
+              "role": "user",
+            },
+          ],
+          "someData": true,
+          "trigger": "submit-message",
+        }
+      `);
+    });
+  });
+
+  describe('headers', () => {
+    it('should include headers in the request by default', async () => {
+      server.urls['http://localhost/api/chat'].response = {
+        type: 'stream-chunks',
+        chunks: [],
+      };
+
+      const transport = new MockHttpChatTransport({
+        api: 'http://localhost/api/chat',
+        headers: { 'X-Test-Header': 'test-value' },
+      });
+
+      await transport.sendMessages({
+        chatId: 'c123',
+        messageId: 'm123',
+        trigger: 'submit-message',
+        messages: [
+          {
+            id: 'm123',
+            role: 'user',
+            parts: [{ text: 'Hello, world!', type: 'text' }],
+          },
+        ],
+        abortSignal: new AbortController().signal,
+      });
+
+      expect(server.calls[0].requestHeaders['x-test-header']).toBe(
+        'test-value',
+      );
+    });
+
+    it('should include headers in the request when a function is provided', async () => {
+      server.urls['http://localhost/api/chat'].response = {
+        type: 'stream-chunks',
+        chunks: [],
+      };
+
+      const transport = new MockHttpChatTransport({
+        api: 'http://localhost/api/chat',
+        headers: () => ({ 'X-Test-Header': 'test-value-fn' }),
+      });
+
+      await transport.sendMessages({
+        chatId: 'c123',
+        messageId: 'm123',
+        trigger: 'submit-message',
+        messages: [
+          {
+            id: 'm123',
+            role: 'user',
+            parts: [{ text: 'Hello, world!', type: 'text' }],
+          },
+        ],
+        abortSignal: new AbortController().signal,
+      });
+
+      expect(server.calls[0].requestHeaders['x-test-header']).toBe(
+        'test-value-fn',
+      );
+    });
   });
 });
diff --git a/packages/ai/src/ui/http-chat-transport.ts b/packages/ai/src/ui/http-chat-transport.ts
index 30cb36dc08dd..b0ed429eb5c6 100644
--- a/packages/ai/src/ui/http-chat-transport.ts
+++ b/packages/ai/src/ui/http-chat-transport.ts
@@ -1,5 +1,5 @@
-import { FetchFunction } from '@ai-sdk/provider-utils';
-import { UIMessageStreamPart } from '../ui-message-stream/ui-message-stream-parts';
+import { FetchFunction, Resolvable, resolve } from '@ai-sdk/provider-utils';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
 import { ChatTransport } from './chat-transport';
 import { UIMessage } from './ui-messages';
 
@@ -13,10 +13,7 @@ export type PrepareSendMessagesRequest<UI_MESSAGE extends UIMessage> = (
     headers: HeadersInit | undefined;
     api: string;
   } & {
-    trigger:
-      | 'submit-user-message'
-      | 'submit-tool-result'
-      | 'regenerate-assistant-message';
+    trigger: 'submit-message' | 'regenerate-message';
     messageId: string | undefined;
   },
 ) =>
@@ -52,7 +49,16 @@ export type PrepareReconnectToStreamRequest = (options: {
       api?: string;
     }>;
 
+/**
+ * Options for the `HttpChatTransport` class.
+ *
+ * @param UI_MESSAGE - The type of message to be used in the chat.
+ */
 export type HttpChatTransportInitOptions<UI_MESSAGE extends UIMessage> = {
+  /**
+   * The API URL to be used for the chat transport.
+   * Defaults to '/api/chat'.
+   */
   api?: string;
 
   /**
@@ -60,12 +66,12 @@ export type HttpChatTransportInitOptions<UI_MESSAGE extends UIMessage> = {
    * Possible values are: 'omit', 'same-origin', 'include'.
    * Defaults to 'same-origin'.
    */
-  credentials?: RequestCredentials;
+  credentials?: Resolvable<RequestCredentials>;
 
   /**
    * HTTP headers to be sent with the API request.
    */
-  headers?: Record<string, string> | Headers;
+  headers?: Resolvable<Record<string, string> | Headers>;
 
   /**
    * Extra body object to be sent with the API request.
@@ -79,7 +85,7 @@ export type HttpChatTransportInitOptions<UI_MESSAGE extends UIMessage> = {
    * })
    * ```
    */
-  body?: object;
+  body?: Resolvable<object>;
 
   /**
   Custom fetch implementation. You can use it as a middleware to intercept requests,
@@ -98,6 +104,15 @@ export type HttpChatTransportInitOptions<UI_MESSAGE extends UIMessage> = {
    */
   prepareSendMessagesRequest?: PrepareSendMessagesRequest<UI_MESSAGE>;
 
+  /**
+   * When a function is provided, it will be used
+   * to prepare the request body for the chat API. This can be useful for
+   * customizing the request body based on the messages and data in the chat.
+   *
+   * @param id The id of the chat.
+   * @param messages The current messages in the chat.
+   * @param requestBody The request body object passed in the chat request.
+   */
   prepareReconnectToStreamRequest?: PrepareReconnectToStreamRequest;
 };
 
@@ -105,9 +120,9 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
   implements ChatTransport<UI_MESSAGE>
 {
   protected api: string;
-  protected credentials?: RequestCredentials;
-  protected headers?: Record<string, string> | Headers;
-  protected body?: object;
+  protected credentials: HttpChatTransportInitOptions<UI_MESSAGE>['credentials'];
+  protected headers: HttpChatTransportInitOptions<UI_MESSAGE>['headers'];
+  protected body: HttpChatTransportInitOptions<UI_MESSAGE>['body'];
   protected fetch?: FetchFunction;
   protected prepareSendMessagesRequest?: PrepareSendMessagesRequest<UI_MESSAGE>;
   protected prepareReconnectToStreamRequest?: PrepareReconnectToStreamRequest;
@@ -134,13 +149,17 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
     abortSignal,
     ...options
   }: Parameters<ChatTransport<UI_MESSAGE>['sendMessages']>[0]) {
+    const resolvedBody = await resolve(this.body);
+    const resolvedHeaders = await resolve(this.headers);
+    const resolvedCredentials = await resolve(this.credentials);
+
     const preparedRequest = await this.prepareSendMessagesRequest?.({
       api: this.api,
       id: options.chatId,
       messages: options.messages,
-      body: { ...this.body, ...options.body },
-      headers: { ...this.headers, ...options.headers },
-      credentials: this.credentials,
+      body: { ...resolvedBody, ...options.body },
+      headers: { ...resolvedHeaders, ...options.headers },
+      credentials: resolvedCredentials,
       requestMetadata: options.metadata,
       trigger: options.trigger,
       messageId: options.messageId,
@@ -150,19 +169,19 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
     const headers =
       preparedRequest?.headers !== undefined
         ? preparedRequest.headers
-        : { ...this.headers, ...options.headers };
+        : { ...resolvedHeaders, ...options.headers };
     const body =
       preparedRequest?.body !== undefined
         ? preparedRequest.body
         : {
-            ...this.body,
+            ...resolvedBody,
             ...options.body,
             id: options.chatId,
             messages: options.messages,
             trigger: options.trigger,
             messageId: options.messageId,
           };
-    const credentials = preparedRequest?.credentials ?? this.credentials;
+    const credentials = preparedRequest?.credentials ?? resolvedCredentials;
 
     // avoid caching globalThis.fetch in case it is patched by other libraries
     const fetch = this.fetch ?? globalThis.fetch;
@@ -193,13 +212,17 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
 
   async reconnectToStream(
     options: Parameters<ChatTransport<UI_MESSAGE>['reconnectToStream']>[0],
-  ): Promise<ReadableStream<UIMessageStreamPart> | null> {
+  ): Promise<ReadableStream<UIMessageChunk> | null> {
+    const resolvedBody = await resolve(this.body);
+    const resolvedHeaders = await resolve(this.headers);
+    const resolvedCredentials = await resolve(this.credentials);
+
     const preparedRequest = await this.prepareReconnectToStreamRequest?.({
       api: this.api,
       id: options.chatId,
-      body: { ...this.body, ...options.body },
-      headers: { ...this.headers, ...options.headers },
-      credentials: this.credentials,
+      body: { ...resolvedBody, ...options.body },
+      headers: { ...resolvedHeaders, ...options.headers },
+      credentials: resolvedCredentials,
       requestMetadata: options.metadata,
     });
 
@@ -207,8 +230,8 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
     const headers =
       preparedRequest?.headers !== undefined
         ? preparedRequest.headers
-        : { ...this.headers, ...options.headers };
-    const credentials = preparedRequest?.credentials ?? this.credentials;
+        : { ...resolvedHeaders, ...options.headers };
+    const credentials = preparedRequest?.credentials ?? resolvedCredentials;
 
     // avoid caching globalThis.fetch in case it is patched by other libraries
     const fetch = this.fetch ?? globalThis.fetch;
@@ -239,5 +262,5 @@ export abstract class HttpChatTransport<UI_MESSAGE extends UIMessage>
 
   protected abstract processResponseStream(
     stream: ReadableStream<Uint8Array<ArrayBufferLike>>,
-  ): ReadableStream<UIMessageStreamPart>;
+  ): ReadableStream<UIMessageChunk>;
 }
diff --git a/packages/ai/src/ui/index.ts b/packages/ai/src/ui/index.ts
index 19f1537c1f15..ef55d416fa61 100644
--- a/packages/ai/src/ui/index.ts
+++ b/packages/ai/src/ui/index.ts
@@ -2,6 +2,10 @@ export { callCompletionApi } from './call-completion-api';
 export {
   AbstractChat,
   type ChatInit,
+  type ChatOnDataCallback,
+  type ChatOnErrorCallback,
+  type ChatOnFinishCallback,
+  type ChatOnToolCallCallback,
   type ChatRequestOptions,
   type ChatState,
   type ChatStatus,
@@ -22,6 +26,7 @@ export {
   type PrepareReconnectToStreamRequest,
   type PrepareSendMessagesRequest,
 } from './http-chat-transport';
+export { lastAssistantMessageIsCompleteWithToolCalls } from './last-assistant-message-is-complete-with-tool-calls';
 export { TextStreamChatTransport } from './text-stream-chat-transport';
 export {
   getToolName,
@@ -29,7 +34,9 @@ export {
   type DataUIPart,
   type FileUIPart,
   type InferUITool,
+  type InferUITools,
   type ReasoningUIPart,
+  type SourceDocumentUIPart,
   type SourceUrlUIPart,
   type StepStartUIPart,
   type TextUIPart,
diff --git a/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.test.ts b/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.test.ts
new file mode 100644
index 000000000000..e4f0acbd5399
--- /dev/null
+++ b/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.test.ts
@@ -0,0 +1,62 @@
+import { lastAssistantMessageIsCompleteWithToolCalls } from './last-assistant-message-is-complete-with-tool-calls';
+
+describe('lastAssistantMessageIsCompleteWithToolCalls', () => {
+  it('should return false if the last step of a multi-step sequency only has text', () => {
+    expect(
+      lastAssistantMessageIsCompleteWithToolCalls({
+        messages: [
+          {
+            id: '1',
+            role: 'assistant',
+            parts: [
+              { type: 'step-start' },
+              {
+                type: 'tool-getLocation',
+                toolCallId: 'call_CuEdmzpx4ZldCkg5SVr3ikLz',
+                state: 'output-available',
+                input: {},
+                output: 'New York',
+              },
+              { type: 'step-start' },
+              {
+                type: 'text',
+                text: 'The current weather in New York is windy.',
+                state: 'done',
+              },
+            ],
+          },
+        ],
+      }),
+    ).toBe(false);
+  });
+
+  it('should return true when there is a text part after the last tool result in the last step', () => {
+    expect(
+      lastAssistantMessageIsCompleteWithToolCalls({
+        messages: [
+          {
+            id: '1',
+            role: 'assistant',
+            parts: [
+              { type: 'step-start' },
+              {
+                type: 'tool-getWeatherInformation',
+                toolCallId: 'call_6iy0GxZ9R4VDI5MKohXxV48y',
+                state: 'output-available',
+                input: {
+                  city: 'New York',
+                },
+                output: 'windy',
+              },
+              {
+                type: 'text',
+                text: 'The current weather in New York is windy.',
+                state: 'done',
+              },
+            ],
+          },
+        ],
+      }),
+    ).toBe(true);
+  });
+});
diff --git a/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.ts b/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.ts
new file mode 100644
index 000000000000..506d91758a26
--- /dev/null
+++ b/packages/ai/src/ui/last-assistant-message-is-complete-with-tool-calls.ts
@@ -0,0 +1,35 @@
+import { isToolUIPart, UIMessage } from './ui-messages';
+
+/**
+Check if the message is an assistant message with completed tool calls.
+The last step of the message must have at least one tool invocation and
+all tool invocations must have a result.
+ */
+export function lastAssistantMessageIsCompleteWithToolCalls({
+  messages,
+}: {
+  messages: UIMessage[];
+}): boolean {
+  const message = messages[messages.length - 1];
+
+  if (!message) {
+    return false;
+  }
+
+  if (message.role !== 'assistant') {
+    return false;
+  }
+
+  const lastStepStartIndex = message.parts.reduce((lastIndex, part, index) => {
+    return part.type === 'step-start' ? index : lastIndex;
+  }, -1);
+
+  const lastStepToolInvocations = message.parts
+    .slice(lastStepStartIndex + 1)
+    .filter(isToolUIPart);
+
+  return (
+    lastStepToolInvocations.length > 0 &&
+    lastStepToolInvocations.every(part => part.state === 'output-available')
+  );
+}
diff --git a/packages/ai/src/ui/process-ui-message-stream.test.ts b/packages/ai/src/ui/process-ui-message-stream.test.ts
index 180dd9105bda..e2a1fa45f4ec 100644
--- a/packages/ai/src/ui/process-ui-message-stream.test.ts
+++ b/packages/ai/src/ui/process-ui-message-stream.test.ts
@@ -1,22 +1,17 @@
 import { convertArrayToReadableStream } from '@ai-sdk/provider-utils/test';
-import { UIMessageStreamPart } from '../../src/ui-message-stream/ui-message-stream-parts';
+import { UIMessageChunk } from '../../src/ui-message-stream/ui-message-chunks';
 import { consumeStream } from '../util/consume-stream';
 import {
   createStreamingUIMessageState,
   processUIMessageStream,
   StreamingUIMessageState,
 } from './process-ui-message-stream';
-import { UIMessage } from './ui-messages';
+import { InferUIMessageData, UIMessage } from './ui-messages';
 
-function createUIMessageStream(parts: UIMessageStreamPart[]) {
+function createUIMessageStream(parts: UIMessageChunk[]) {
   return convertArrayToReadableStream(parts);
 }
 
-export function mockId(): () => string {
-  let counter = 0;
-  return () => `id-${counter++}`;
-}
-
 describe('processUIMessageStream', () => {
   let writeCalls: Array<{ message: UIMessage }> = [];
   let state: StreamingUIMessageState<UIMessage> | undefined;
@@ -89,6 +84,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -106,6 +102,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, ",
                   "type": "text",
@@ -123,6 +120,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world!",
                   "type": "text",
@@ -140,6 +138,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hello, world!",
                   "type": "text",
@@ -162,6 +161,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Hello, world!",
               "type": "text",
@@ -352,6 +352,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -385,6 +386,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -418,6 +420,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -456,6 +459,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -646,6 +650,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -688,6 +693,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -730,6 +736,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -777,6 +784,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -858,6 +866,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -875,6 +884,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "I will ",
                   "type": "text",
@@ -892,6 +902,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -909,6 +920,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -926,6 +938,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -954,6 +967,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -984,6 +998,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -1005,6 +1020,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -1022,6 +1038,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -1043,6 +1060,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London ",
                   "type": "text",
@@ -1060,6 +1078,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -1081,6 +1100,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1098,6 +1118,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "I will use a tool to get the weather in London.",
                   "type": "text",
@@ -1119,6 +1140,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1141,6 +1163,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "I will use a tool to get the weather in London.",
               "type": "text",
@@ -1162,6 +1185,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -1591,6 +1615,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -1644,6 +1669,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1697,6 +1723,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1755,6 +1782,7 @@ describe('processUIMessageStream', () => {
               "type": "reasoning",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -1891,6 +1919,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -1922,6 +1951,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1953,6 +1983,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -1989,6 +2020,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -2086,6 +2118,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -2109,6 +2142,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "t1",
                   "type": "text",
@@ -2133,6 +2167,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "t1",
                   "type": "text",
@@ -2157,6 +2192,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "t1t2",
                   "type": "text",
@@ -2181,6 +2217,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "t1t2",
                   "type": "text",
@@ -2207,6 +2244,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "t1t2",
                   "type": "text",
@@ -2238,6 +2276,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "t1t2",
               "type": "text",
@@ -2303,6 +2342,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -2320,6 +2360,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "t1",
                   "type": "text",
@@ -2337,6 +2378,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "t1",
                   "type": "text",
@@ -2356,6 +2398,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "t1",
                   "type": "text",
@@ -2380,6 +2423,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "t1",
               "type": "text",
@@ -2462,6 +2506,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -2483,6 +2528,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "t1",
                   "type": "text",
@@ -2504,6 +2550,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "t1",
                   "type": "text",
@@ -2530,6 +2577,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "t1",
               "type": "text",
@@ -2796,6 +2844,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -2813,6 +2862,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, ",
                   "type": "text",
@@ -2830,6 +2880,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hello, world!",
                   "type": "text",
@@ -2847,6 +2898,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hello, world!",
                   "type": "text",
@@ -2869,6 +2921,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Hello, world!",
               "type": "text",
@@ -3330,6 +3383,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -3377,6 +3431,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Hi there!",
                   "type": "text",
@@ -3424,6 +3479,7 @@ describe('processUIMessageStream', () => {
                   "type": "reasoning",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Hi there!",
                   "type": "text",
@@ -3476,6 +3532,7 @@ describe('processUIMessageStream', () => {
               "type": "reasoning",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Hi there!",
               "type": "text",
@@ -3553,29 +3610,6 @@ describe('processUIMessageStream', () => {
               "role": "assistant",
             },
           },
-          {
-            "message": {
-              "id": "msg-123",
-              "metadata": undefined,
-              "parts": [
-                {
-                  "type": "step-start",
-                },
-                {
-                  "errorText": undefined,
-                  "input": {
-                    "city": "London",
-                  },
-                  "output": "test-result",
-                  "providerExecuted": undefined,
-                  "state": "output-available",
-                  "toolCallId": "tool-call-id",
-                  "type": "tool-tool-name",
-                },
-              ],
-              "role": "assistant",
-            },
-          },
         ]
       `);
     });
@@ -3594,9 +3628,9 @@ describe('processUIMessageStream', () => {
               "input": {
                 "city": "London",
               },
-              "output": "test-result",
+              "output": undefined,
               "providerExecuted": undefined,
-              "state": "output-available",
+              "state": "input-available",
               "toolCallId": "tool-call-id",
               "type": "tool-tool-name",
             },
@@ -3665,6 +3699,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -3682,6 +3717,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -3699,6 +3735,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -3716,6 +3753,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "The weather in London is sunny.",
                   "type": "text",
@@ -3745,6 +3783,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "The weather in London is sunny.",
               "type": "text",
@@ -3824,6 +3863,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -3841,6 +3881,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3858,6 +3899,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3875,6 +3917,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3897,6 +3940,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3907,6 +3951,7 @@ describe('processUIMessageStream', () => {
                   "url": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "",
                   "type": "text",
@@ -3924,6 +3969,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3934,6 +3980,7 @@ describe('processUIMessageStream', () => {
                   "url": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "streaming",
                   "text": "And another one:",
                   "type": "text",
@@ -3951,6 +3998,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3961,6 +4009,7 @@ describe('processUIMessageStream', () => {
                   "url": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "And another one:",
                   "type": "text",
@@ -3978,6 +4027,7 @@ describe('processUIMessageStream', () => {
                   "type": "step-start",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "Here is a file:",
                   "type": "text",
@@ -3988,6 +4038,7 @@ describe('processUIMessageStream', () => {
                   "url": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
                 },
                 {
+                  "providerMetadata": undefined,
                   "state": "done",
                   "text": "And another one:",
                   "type": "text",
@@ -4015,6 +4066,7 @@ describe('processUIMessageStream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Here is a file:",
               "type": "text",
@@ -4025,6 +4077,7 @@ describe('processUIMessageStream', () => {
               "url": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "And another one:",
               "type": "text",
@@ -4042,7 +4095,11 @@ describe('processUIMessageStream', () => {
   });
 
   describe('data ui parts (single part)', () => {
+    let dataCalls: InferUIMessageData<UIMessage>[] = [];
+
     beforeEach(async () => {
+      dataCalls = [];
+
       const stream = createUIMessageStream([
         { type: 'start', messageId: 'msg-123' },
         { type: 'start-step' },
@@ -4066,6 +4123,9 @@ describe('processUIMessageStream', () => {
           onError: error => {
             throw error;
           },
+          onData: data => {
+            dataCalls.push(data);
+          },
         }),
       });
     });
@@ -4119,6 +4179,97 @@ describe('processUIMessageStream', () => {
         }
       `);
     });
+
+    it('should call the onData callback with the correct arguments', async () => {
+      expect(dataCalls).toMatchInlineSnapshot(`
+        [
+          {
+            "data": "example-data-can-be-anything",
+            "type": "data-test",
+          },
+        ]
+      `);
+    });
+  });
+
+  describe('data ui parts (transient part)', () => {
+    let dataCalls: InferUIMessageData<UIMessage>[] = [];
+
+    beforeEach(async () => {
+      dataCalls = [];
+
+      const stream = createUIMessageStream([
+        { type: 'start', messageId: 'msg-123' },
+        { type: 'start-step' },
+        {
+          type: 'data-test',
+          data: 'example-data-can-be-anything',
+          transient: true,
+        },
+        { type: 'finish-step' },
+        { type: 'finish' },
+      ]);
+
+      state = createStreamingUIMessageState({
+        messageId: 'msg-123',
+        lastMessage: undefined,
+      });
+
+      await consumeStream({
+        stream: processUIMessageStream({
+          stream,
+          runUpdateMessageJob,
+          onError: error => {
+            throw error;
+          },
+          onData: data => {
+            dataCalls.push(data);
+          },
+        }),
+      });
+    });
+
+    it('should not call the update function with the transient part', async () => {
+      expect(writeCalls).toMatchInlineSnapshot(`
+        [
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [],
+              "role": "assistant",
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should not have the transient part in the final message state', async () => {
+      expect(state!.message).toMatchInlineSnapshot(`
+        {
+          "id": "msg-123",
+          "metadata": undefined,
+          "parts": [
+            {
+              "type": "step-start",
+            },
+          ],
+          "role": "assistant",
+        }
+      `);
+    });
+
+    it('should call the onData callback with the transient part', async () => {
+      expect(dataCalls).toMatchInlineSnapshot(`
+        [
+          {
+            "data": "example-data-can-be-anything",
+            "transient": true,
+            "type": "data-test",
+          },
+        ]
+      `);
+    });
   });
 
   describe('data ui parts (single part with id and replacement update)', () => {
@@ -4308,7 +4459,6 @@ describe('processUIMessageStream', () => {
                 },
                 {
                   "data": {
-                    "a": "a1",
                     "b": "b2",
                     "c": "c2",
                   },
@@ -4334,7 +4484,6 @@ describe('processUIMessageStream', () => {
             },
             {
               "data": {
-                "a": "a1",
                 "b": "b2",
                 "c": "c2",
               },
@@ -4406,9 +4555,8 @@ describe('processUIMessageStream', () => {
       await consumeStream({
         stream: processUIMessageStream({
           stream,
-          onToolCall: async () => {
+          onToolCall: () => {
             onToolCallInvoked = true;
-            return 'client-result';
           },
           runUpdateMessageJob,
           onError: error => {
@@ -4661,7 +4809,6 @@ describe('processUIMessageStream', () => {
           stream,
           onToolCall: async () => {
             onToolCallInvoked = true;
-            return 'client-result';
           },
           runUpdateMessageJob,
           onError: error => {
@@ -4682,9 +4829,265 @@ describe('processUIMessageStream', () => {
             "input": {
               "query": "test",
             },
-            "output": "client-result",
+            "output": undefined,
             "providerExecuted": undefined,
-            "state": "output-available",
+            "state": "input-available",
+            "toolCallId": "tool-call-id",
+            "type": "tool-tool-name",
+          },
+        ]
+      `);
+    });
+  });
+
+  describe('provider metadata', () => {
+    beforeEach(async () => {
+      const stream = createUIMessageStream([
+        { type: 'start', messageId: 'msg-123' },
+        { type: 'start-step' },
+        {
+          type: 'text-start',
+          id: '1',
+          providerMetadata: { testProvider: { signature: '1' } },
+        },
+        {
+          type: 'text-delta',
+          id: '1',
+          delta: 'Hello',
+        },
+        {
+          type: 'text-delta',
+          id: '1',
+          delta: ', ',
+        },
+        {
+          type: 'text-delta',
+          id: '1',
+          delta: 'world!',
+        },
+        {
+          type: 'text-end',
+          id: '1',
+        },
+        {
+          type: 'tool-input-available',
+          toolCallId: 'tool-call-id',
+          toolName: 'tool-name',
+          input: { query: 'test' },
+          providerMetadata: { testProvider: { signature: '2' } },
+        },
+        { type: 'finish-step' },
+        { type: 'finish' },
+      ]);
+
+      state = createStreamingUIMessageState({
+        messageId: 'msg-123',
+        lastMessage: undefined,
+      });
+
+      await consumeStream({
+        stream: processUIMessageStream({
+          stream,
+          runUpdateMessageJob,
+          onError: error => {
+            throw error;
+          },
+        }),
+      });
+    });
+
+    it('should call the update function with the correct arguments', async () => {
+      expect(writeCalls).toMatchInlineSnapshot(`
+        [
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "streaming",
+                  "text": "",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "streaming",
+                  "text": "Hello",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "streaming",
+                  "text": "Hello, ",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "streaming",
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "done",
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+          {
+            "message": {
+              "id": "msg-123",
+              "metadata": undefined,
+              "parts": [
+                {
+                  "type": "step-start",
+                },
+                {
+                  "providerMetadata": {
+                    "testProvider": {
+                      "signature": "1",
+                    },
+                  },
+                  "state": "done",
+                  "text": "Hello, world!",
+                  "type": "text",
+                },
+                {
+                  "callProviderMetadata": {
+                    "testProvider": {
+                      "signature": "2",
+                    },
+                  },
+                  "errorText": undefined,
+                  "input": {
+                    "query": "test",
+                  },
+                  "output": undefined,
+                  "providerExecuted": undefined,
+                  "state": "input-available",
+                  "toolCallId": "tool-call-id",
+                  "type": "tool-tool-name",
+                },
+              ],
+              "role": "assistant",
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should have the correct final message state', async () => {
+      expect(state!.message.parts).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "step-start",
+          },
+          {
+            "providerMetadata": {
+              "testProvider": {
+                "signature": "1",
+              },
+            },
+            "state": "done",
+            "text": "Hello, world!",
+            "type": "text",
+          },
+          {
+            "callProviderMetadata": {
+              "testProvider": {
+                "signature": "2",
+              },
+            },
+            "errorText": undefined,
+            "input": {
+              "query": "test",
+            },
+            "output": undefined,
+            "providerExecuted": undefined,
+            "state": "input-available",
             "toolCallId": "tool-call-id",
             "type": "tool-tool-name",
           },
diff --git a/packages/ai/src/ui/process-ui-message-stream.ts b/packages/ai/src/ui/process-ui-message-stream.ts
index 3af8efdf9beb..cd9848141e70 100644
--- a/packages/ai/src/ui/process-ui-message-stream.ts
+++ b/packages/ai/src/ui/process-ui-message-stream.ts
@@ -1,22 +1,25 @@
 import {
   StandardSchemaV1,
-  ToolCall,
   validateTypes,
   Validator,
 } from '@ai-sdk/provider-utils';
+import { ProviderMetadata } from '../types';
 import {
-  InferUIMessageStreamPart,
-  isDataUIMessageStreamPart,
-  UIMessageStreamPart,
-} from '../ui-message-stream/ui-message-stream-parts';
+  DataUIMessageChunk,
+  InferUIMessageChunk,
+  isDataUIMessageChunk,
+  UIMessageChunk,
+} from '../ui-message-stream/ui-message-chunks';
 import { ErrorHandler } from '../util/error-handler';
 import { mergeObjects } from '../util/merge-objects';
 import { parsePartialJson } from '../util/parse-partial-json';
 import { UIDataTypesToSchemas } from './chat';
 import {
+  DataUIPart,
   getToolName,
   InferUIMessageData,
   InferUIMessageMetadata,
+  InferUIMessageToolCall,
   InferUIMessageTools,
   isToolUIPart,
   ReasoningUIPart,
@@ -64,21 +67,23 @@ export function createStreamingUIMessageState<UI_MESSAGE extends UIMessage>({
 
 export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
   stream,
-  onToolCall,
   messageMetadataSchema,
   dataPartSchemas,
   runUpdateMessageJob,
   onError,
+  onToolCall,
+  onData,
 }: {
   // input stream is not fully typed yet:
-  stream: ReadableStream<UIMessageStreamPart>;
+  stream: ReadableStream<UIMessageChunk>;
   messageMetadataSchema?:
     | Validator<InferUIMessageMetadata<UI_MESSAGE>>
     | StandardSchemaV1<InferUIMessageMetadata<UI_MESSAGE>>;
   dataPartSchemas?: UIDataTypesToSchemas<InferUIMessageData<UI_MESSAGE>>;
   onToolCall?: (options: {
-    toolCall: ToolCall<string, unknown>;
-  }) => void | Promise<unknown> | unknown;
+    toolCall: InferUIMessageToolCall<UI_MESSAGE>;
+  }) => void | PromiseLike<void>;
+  onData?: (dataPart: DataUIPart<InferUIMessageData<UI_MESSAGE>>) => void;
   runUpdateMessageJob: (
     job: (options: {
       state: StreamingUIMessageState<UI_MESSAGE>;
@@ -86,13 +91,10 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
     }) => Promise<void>,
   ) => Promise<void>;
   onError: ErrorHandler;
-}): ReadableStream<InferUIMessageStreamPart<UI_MESSAGE>> {
+}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {
   return stream.pipeThrough(
-    new TransformStream<
-      UIMessageStreamPart,
-      InferUIMessageStreamPart<UI_MESSAGE>
-    >({
-      async transform(part, controller) {
+    new TransformStream<UIMessageChunk, InferUIMessageChunk<UI_MESSAGE>>({
+      async transform(chunk, controller) {
         await runUpdateMessageJob(async ({ state, write }) => {
           function updateToolInvocationPart(
             options: {
@@ -109,6 +111,7 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
                   state: 'input-available';
                   input: unknown;
                   providerExecuted?: boolean;
+                  providerMetadata?: ProviderMetadata;
                 }
               | {
                   state: 'output-available';
@@ -141,6 +144,13 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               // once providerExecuted is set, it stays for streaming
               anyPart.providerExecuted =
                 anyOptions.providerExecuted ?? part.providerExecuted;
+
+              if (
+                anyOptions.providerMetadata != null &&
+                part.state === 'input-available'
+              ) {
+                part.callProviderMetadata = anyOptions.providerMetadata;
+              }
             } else {
               state.message.parts.push({
                 type: `tool-${options.toolName}`,
@@ -150,6 +160,9 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
                 output: anyOptions.output,
                 errorText: anyOptions.errorText,
                 providerExecuted: anyOptions.providerExecuted,
+                ...(anyOptions.providerMetadata != null
+                  ? { callProviderMetadata: anyOptions.providerMetadata }
+                  : {}),
               } as ToolUIPart<InferUIMessageTools<UI_MESSAGE>>);
             }
           }
@@ -173,29 +186,35 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             }
           }
 
-          switch (part.type) {
+          switch (chunk.type) {
             case 'text-start': {
               const textPart: TextUIPart = {
                 type: 'text',
                 text: '',
+                providerMetadata: chunk.providerMetadata,
                 state: 'streaming',
               };
-              state.activeTextParts[part.id] = textPart;
+              state.activeTextParts[chunk.id] = textPart;
               state.message.parts.push(textPart);
               write();
               break;
             }
 
             case 'text-delta': {
-              state.activeTextParts[part.id].text += part.delta;
+              const textPart = state.activeTextParts[chunk.id];
+              textPart.text += chunk.delta;
+              textPart.providerMetadata =
+                chunk.providerMetadata ?? textPart.providerMetadata;
               write();
               break;
             }
 
             case 'text-end': {
-              const textPart = state.activeTextParts[part.id];
+              const textPart = state.activeTextParts[chunk.id];
               textPart.state = 'done';
-              delete state.activeTextParts[part.id];
+              textPart.providerMetadata =
+                chunk.providerMetadata ?? textPart.providerMetadata;
+              delete state.activeTextParts[chunk.id];
               write();
               break;
             }
@@ -204,30 +223,30 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               const reasoningPart: ReasoningUIPart = {
                 type: 'reasoning',
                 text: '',
-                providerMetadata: part.providerMetadata,
+                providerMetadata: chunk.providerMetadata,
                 state: 'streaming',
               };
-              state.activeReasoningParts[part.id] = reasoningPart;
+              state.activeReasoningParts[chunk.id] = reasoningPart;
               state.message.parts.push(reasoningPart);
               write();
               break;
             }
 
             case 'reasoning-delta': {
-              const reasoningPart = state.activeReasoningParts[part.id];
-              reasoningPart.text += part.delta;
+              const reasoningPart = state.activeReasoningParts[chunk.id];
+              reasoningPart.text += chunk.delta;
               reasoningPart.providerMetadata =
-                part.providerMetadata ?? reasoningPart.providerMetadata;
+                chunk.providerMetadata ?? reasoningPart.providerMetadata;
               write();
               break;
             }
 
             case 'reasoning-end': {
-              const reasoningPart = state.activeReasoningParts[part.id];
+              const reasoningPart = state.activeReasoningParts[chunk.id];
               reasoningPart.providerMetadata =
-                part.providerMetadata ?? reasoningPart.providerMetadata;
+                chunk.providerMetadata ?? reasoningPart.providerMetadata;
               reasoningPart.state = 'done';
-              delete state.activeReasoningParts[part.id];
+              delete state.activeReasoningParts[chunk.id];
 
               write();
               break;
@@ -236,8 +255,8 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             case 'file': {
               state.message.parts.push({
                 type: 'file',
-                mediaType: part.mediaType,
-                url: part.url,
+                mediaType: chunk.mediaType,
+                url: chunk.url,
               });
 
               write();
@@ -247,10 +266,10 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             case 'source-url': {
               state.message.parts.push({
                 type: 'source-url',
-                sourceId: part.sourceId,
-                url: part.url,
-                title: part.title,
-                providerMetadata: part.providerMetadata,
+                sourceId: chunk.sourceId,
+                url: chunk.url,
+                title: chunk.title,
+                providerMetadata: chunk.providerMetadata,
               });
 
               write();
@@ -260,11 +279,11 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             case 'source-document': {
               state.message.parts.push({
                 type: 'source-document',
-                sourceId: part.sourceId,
-                mediaType: part.mediaType,
-                title: part.title,
-                filename: part.filename,
-                providerMetadata: part.providerMetadata,
+                sourceId: chunk.sourceId,
+                mediaType: chunk.mediaType,
+                title: chunk.title,
+                filename: chunk.filename,
+                providerMetadata: chunk.providerMetadata,
               });
 
               write();
@@ -275,18 +294,18 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               const toolInvocations = state.message.parts.filter(isToolUIPart);
 
               // add the partial tool call to the map
-              state.partialToolCalls[part.toolCallId] = {
+              state.partialToolCalls[chunk.toolCallId] = {
                 text: '',
-                toolName: part.toolName,
+                toolName: chunk.toolName,
                 index: toolInvocations.length,
               };
 
               updateToolInvocationPart({
-                toolCallId: part.toolCallId,
-                toolName: part.toolName,
+                toolCallId: chunk.toolCallId,
+                toolName: chunk.toolName,
                 state: 'input-streaming',
                 input: undefined,
-                providerExecuted: part.providerExecuted,
+                providerExecuted: chunk.providerExecuted,
               });
 
               write();
@@ -294,16 +313,16 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             }
 
             case 'tool-input-delta': {
-              const partialToolCall = state.partialToolCalls[part.toolCallId];
+              const partialToolCall = state.partialToolCalls[chunk.toolCallId];
 
-              partialToolCall.text += part.inputTextDelta;
+              partialToolCall.text += chunk.inputTextDelta;
 
               const { value: partialArgs } = await parsePartialJson(
                 partialToolCall.text,
               );
 
               updateToolInvocationPart({
-                toolCallId: part.toolCallId,
+                toolCallId: chunk.toolCallId,
                 toolName: partialToolCall.toolName,
                 state: 'input-streaming',
                 input: partialArgs,
@@ -315,11 +334,12 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
 
             case 'tool-input-available': {
               updateToolInvocationPart({
-                toolCallId: part.toolCallId,
-                toolName: part.toolName,
+                toolCallId: chunk.toolCallId,
+                toolName: chunk.toolName,
                 state: 'input-available',
-                input: part.input,
-                providerExecuted: part.providerExecuted,
+                input: chunk.input,
+                providerExecuted: chunk.providerExecuted,
+                providerMetadata: chunk.providerMetadata,
               });
 
               write();
@@ -328,21 +348,10 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               // In the future we should make this non-blocking, which
               // requires additional state management for error handling etc.
               // Skip calling onToolCall for provider-executed tools since they are already executed
-              if (onToolCall && !part.providerExecuted) {
-                const result = await onToolCall({
-                  toolCall: part,
+              if (onToolCall && !chunk.providerExecuted) {
+                await onToolCall({
+                  toolCall: chunk as InferUIMessageToolCall<UI_MESSAGE>,
                 });
-                if (result != null) {
-                  updateToolInvocationPart({
-                    toolCallId: part.toolCallId,
-                    toolName: part.toolName,
-                    state: 'output-available',
-                    input: part.input,
-                    output: result,
-                  });
-
-                  write();
-                }
               }
               break;
             }
@@ -357,7 +366,7 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               // find if there is any tool invocation with the same toolCallId
               // and replace it with the result
               const toolInvocationIndex = toolInvocations.findIndex(
-                invocation => invocation.toolCallId === part.toolCallId,
+                invocation => invocation.toolCallId === chunk.toolCallId,
               );
 
               if (toolInvocationIndex === -1) {
@@ -371,12 +380,12 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               );
 
               updateToolInvocationPart({
-                toolCallId: part.toolCallId,
+                toolCallId: chunk.toolCallId,
                 toolName,
                 state: 'output-available',
                 input: (toolInvocations[toolInvocationIndex] as any).input,
-                output: part.output,
-                providerExecuted: part.providerExecuted,
+                output: chunk.output,
+                providerExecuted: chunk.providerExecuted,
               });
 
               write();
@@ -393,7 +402,7 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               // find if there is any tool invocation with the same toolCallId
               // and replace it with the result
               const toolInvocationIndex = toolInvocations.findIndex(
-                invocation => invocation.toolCallId === part.toolCallId,
+                invocation => invocation.toolCallId === chunk.toolCallId,
               );
 
               if (toolInvocationIndex === -1) {
@@ -407,12 +416,12 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
               );
 
               updateToolInvocationPart({
-                toolCallId: part.toolCallId,
+                toolCallId: chunk.toolCallId,
                 toolName,
                 state: 'output-error',
                 input: (toolInvocations[toolInvocationIndex] as any).input,
-                errorText: part.errorText,
-                providerExecuted: part.providerExecuted,
+                errorText: chunk.errorText,
+                providerExecuted: chunk.providerExecuted,
               });
 
               write();
@@ -433,72 +442,87 @@ export function processUIMessageStream<UI_MESSAGE extends UIMessage>({
             }
 
             case 'start': {
-              if (part.messageId != null) {
-                state.message.id = part.messageId;
+              if (chunk.messageId != null) {
+                state.message.id = chunk.messageId;
               }
 
-              await updateMessageMetadata(part.messageMetadata);
+              await updateMessageMetadata(chunk.messageMetadata);
 
-              if (part.messageId != null || part.messageMetadata != null) {
+              if (chunk.messageId != null || chunk.messageMetadata != null) {
                 write();
               }
               break;
             }
 
             case 'finish': {
-              await updateMessageMetadata(part.messageMetadata);
-              if (part.messageMetadata != null) {
+              await updateMessageMetadata(chunk.messageMetadata);
+              if (chunk.messageMetadata != null) {
                 write();
               }
               break;
             }
 
             case 'message-metadata': {
-              await updateMessageMetadata(part.messageMetadata);
-              if (part.messageMetadata != null) {
+              await updateMessageMetadata(chunk.messageMetadata);
+              if (chunk.messageMetadata != null) {
                 write();
               }
               break;
             }
 
             case 'error': {
-              onError?.(new Error(part.errorText));
+              onError?.(new Error(chunk.errorText));
               break;
             }
 
             default: {
-              if (isDataUIMessageStreamPart(part)) {
-                // TODO improve type safety
-                const existingPart: any =
-                  part.id != null
-                    ? state.message.parts.find(
-                        (partArg: any) =>
-                          part.type === partArg.type && part.id === partArg.id,
-                      )
+              if (isDataUIMessageChunk(chunk)) {
+                // validate data chunk if dataPartSchemas is provided
+                if (dataPartSchemas?.[chunk.type] != null) {
+                  await validateTypes({
+                    value: chunk.data,
+                    schema: dataPartSchemas[chunk.type],
+                  });
+                }
+
+                // cast, validation is done above
+                const dataChunk = chunk as DataUIMessageChunk<
+                  InferUIMessageData<UI_MESSAGE>
+                >;
+
+                // transient parts are not added to the message state
+                if (dataChunk.transient) {
+                  onData?.(dataChunk);
+                  break;
+                }
+
+                const existingUIPart =
+                  dataChunk.id != null
+                    ? (state.message.parts.find(
+                        chunkArg =>
+                          dataChunk.type === chunkArg.type &&
+                          dataChunk.id === chunkArg.id,
+                      ) as
+                        | DataUIPart<InferUIMessageData<UI_MESSAGE>>
+                        | undefined)
                     : undefined;
 
-                if (existingPart != null) {
-                  // TODO improve type safety
-                  existingPart.data =
-                    isObject(existingPart.data) && isObject(part.data)
-                      ? mergeObjects(existingPart.data, part.data)
-                      : part.data;
+                if (existingUIPart != null) {
+                  existingUIPart.data = dataChunk.data;
                 } else {
-                  // TODO improve type safety
-                  state.message.parts.push(part as any);
+                  state.message.parts.push(dataChunk);
                 }
+
+                onData?.(dataChunk);
+
                 write();
               }
             }
           }
 
-          controller.enqueue(part as InferUIMessageStreamPart<UI_MESSAGE>);
+          controller.enqueue(chunk as InferUIMessageChunk<UI_MESSAGE>);
         });
       },
     }),
   );
 }
-
-function isObject(value: unknown): value is object {
-  return typeof value === 'object' && value !== null;
-}
diff --git a/packages/ai/src/ui/should-resubmit-messages.test.ts b/packages/ai/src/ui/should-resubmit-messages.test.ts
deleted file mode 100644
index 49b6416c9ce0..000000000000
--- a/packages/ai/src/ui/should-resubmit-messages.test.ts
+++ /dev/null
@@ -1,112 +0,0 @@
-import {
-  isAssistantMessageWithCompletedToolCalls,
-  shouldResubmitMessages,
-} from './should-resubmit-messages';
-
-describe('shouldResubmitMessages', () => {
-  it('should return false when maxSteps <= 1', () => {
-    expect(
-      shouldResubmitMessages({
-        originalMaxToolInvocationStep: undefined,
-        originalMessageCount: 1,
-        maxSteps: 1,
-        messages: [
-          {
-            id: '1',
-            role: 'user',
-            parts: [{ type: 'text', text: 'Hello' }],
-          },
-          {
-            id: '2',
-            role: 'assistant',
-            parts: [{ type: 'text', text: 'Hello', state: 'done' }],
-          },
-        ],
-      }),
-    ).toBe(false);
-  });
-
-  it('should allow resubmission when maxSteps > 1 and there are tool invocations with results', () => {
-    expect(
-      shouldResubmitMessages({
-        originalMaxToolInvocationStep: undefined,
-        originalMessageCount: 1,
-        maxSteps: 3,
-        messages: [
-          {
-            id: '1',
-            role: 'user',
-            parts: [{ type: 'text', text: 'Hello' }],
-          },
-          {
-            id: '2',
-            role: 'assistant' as const,
-            parts: [
-              { type: 'step-start' },
-              {
-                type: 'tool-getLocation',
-                toolCallId: 'tool1',
-                state: 'output-available',
-                input: {},
-                output: 'some result',
-              },
-            ],
-          },
-        ],
-      }),
-    ).toBe(true);
-  });
-});
-
-describe('isAssistantMessageWithCompletedToolCalls', () => {
-  it('should return false if the last step of a multi-step sequency only has text', () => {
-    expect(
-      isAssistantMessageWithCompletedToolCalls({
-        id: '1',
-        role: 'assistant',
-        parts: [
-          { type: 'step-start' },
-          {
-            type: 'tool-getLocation',
-            toolCallId: 'call_CuEdmzpx4ZldCkg5SVr3ikLz',
-            state: 'output-available',
-            input: {},
-            output: 'New York',
-          },
-          { type: 'step-start' },
-          {
-            type: 'text',
-            text: 'The current weather in New York is windy.',
-            state: 'done',
-          },
-        ],
-      }),
-    ).toBe(false);
-  });
-
-  it('should return true when there is a text part after the last tool result in the last step', () => {
-    expect(
-      isAssistantMessageWithCompletedToolCalls({
-        id: '1',
-        role: 'assistant',
-        parts: [
-          { type: 'step-start' },
-          {
-            type: 'tool-getWeatherInformation',
-            toolCallId: 'call_6iy0GxZ9R4VDI5MKohXxV48y',
-            state: 'output-available',
-            input: {
-              city: 'New York',
-            },
-            output: 'windy',
-          },
-          {
-            type: 'text',
-            text: 'The current weather in New York is windy.',
-            state: 'done',
-          },
-        ],
-      }),
-    ).toBe(true);
-  });
-});
diff --git a/packages/ai/src/ui/should-resubmit-messages.ts b/packages/ai/src/ui/should-resubmit-messages.ts
deleted file mode 100644
index 08e719f7402a..000000000000
--- a/packages/ai/src/ui/should-resubmit-messages.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-import { isToolUIPart, UIMessage } from './ui-messages';
-
-export function shouldResubmitMessages({
-  originalMaxToolInvocationStep,
-  originalMessageCount,
-  maxSteps,
-  messages,
-}: {
-  originalMaxToolInvocationStep: number | undefined;
-  originalMessageCount: number;
-  maxSteps: number;
-  messages: UIMessage[];
-}) {
-  const lastMessage = messages[messages.length - 1];
-
-  // count the number of step-start parts in the last message:
-  const lastMessageStepStartCount = lastMessage.parts.filter(
-    part => part.type === 'step-start',
-  ).length;
-
-  return (
-    // check if the feature is enabled:
-    maxSteps > 1 &&
-    // ensure there is a last message:
-    lastMessage != null &&
-    // ensure we actually have new steps (to prevent infinite loops in case of errors):
-    (messages.length > originalMessageCount ||
-      lastMessageStepStartCount !== originalMaxToolInvocationStep) &&
-    // check that next step is possible:
-    isAssistantMessageWithCompletedToolCalls(lastMessage) &&
-    // limit the number of automatic steps:
-    lastMessageStepStartCount < maxSteps
-  );
-}
-
-/**
-Check if the message is an assistant message with completed tool calls.
-The last step of the message must have at least one tool invocation and
-all tool invocations must have a result.
- */
-export function isAssistantMessageWithCompletedToolCalls(
-  message: UIMessage | undefined,
-): message is UIMessage & {
-  role: 'assistant';
-} {
-  if (!message) {
-    return false;
-  }
-
-  if (message.role !== 'assistant') {
-    return false;
-  }
-
-  const lastStepStartIndex = message.parts.reduce((lastIndex, part, index) => {
-    return part.type === 'step-start' ? index : lastIndex;
-  }, -1);
-
-  const lastStepToolInvocations = message.parts
-    .slice(lastStepStartIndex + 1)
-    .filter(isToolUIPart);
-
-  return (
-    lastStepToolInvocations.length > 0 &&
-    lastStepToolInvocations.every(part => part.state === 'output-available')
-  );
-}
diff --git a/packages/ai/src/ui/text-stream-chat-transport.ts b/packages/ai/src/ui/text-stream-chat-transport.ts
index 400139cc3dca..c140aca64b9e 100644
--- a/packages/ai/src/ui/text-stream-chat-transport.ts
+++ b/packages/ai/src/ui/text-stream-chat-transport.ts
@@ -1,4 +1,4 @@
-import { UIMessageStreamPart } from '../ui-message-stream/ui-message-stream-parts';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
 import {
   HttpChatTransport,
   HttpChatTransportInitOptions,
@@ -15,7 +15,7 @@ export class TextStreamChatTransport<
 
   protected processResponseStream(
     stream: ReadableStream<Uint8Array<ArrayBufferLike>>,
-  ): ReadableStream<UIMessageStreamPart> {
+  ): ReadableStream<UIMessageChunk> {
     return transformTextToUiMessageStream({
       stream: stream.pipeThrough(new TextDecoderStream()),
     });
diff --git a/packages/ai/src/ui/transform-text-to-ui-message-stream.ts b/packages/ai/src/ui/transform-text-to-ui-message-stream.ts
index d1059655ba4f..58749762f475 100644
--- a/packages/ai/src/ui/transform-text-to-ui-message-stream.ts
+++ b/packages/ai/src/ui/transform-text-to-ui-message-stream.ts
@@ -1,4 +1,4 @@
-import { UIMessageStreamPart } from '../ui-message-stream';
+import { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';
 
 export function transformTextToUiMessageStream({
   stream,
@@ -6,7 +6,7 @@ export function transformTextToUiMessageStream({
   stream: ReadableStream<string>;
 }) {
   return stream.pipeThrough(
-    new TransformStream<string, UIMessageStreamPart<never, never>>({
+    new TransformStream<string, UIMessageChunk>({
       start(controller) {
         controller.enqueue({ type: 'start' });
         controller.enqueue({ type: 'start-step' });
diff --git a/packages/ai/src/ui/ui-messages.test.ts b/packages/ai/src/ui/ui-messages.test.ts
new file mode 100644
index 000000000000..e538e63b568f
--- /dev/null
+++ b/packages/ai/src/ui/ui-messages.test.ts
@@ -0,0 +1,27 @@
+import { getToolName } from './ui-messages';
+
+describe('getToolName', () => {
+  it('should return the tool name after the "tool-" prefix', () => {
+    expect(
+      getToolName({
+        type: 'tool-getLocation',
+        toolCallId: 'tool1',
+        state: 'output-available',
+        input: {},
+        output: 'some result',
+      }),
+    ).toBe('getLocation');
+  });
+
+  it('should return the tool name for tools that contains a dash', () => {
+    expect(
+      getToolName({
+        type: 'tool-get-location',
+        toolCallId: 'tool1',
+        state: 'output-available',
+        input: {},
+        output: 'some result',
+      }),
+    ).toBe('get-location');
+  });
+});
diff --git a/packages/ai/src/ui/ui-messages.ts b/packages/ai/src/ui/ui-messages.ts
index a68997968a72..62a5814eebb2 100644
--- a/packages/ai/src/ui/ui-messages.ts
+++ b/packages/ai/src/ui/ui-messages.ts
@@ -1,4 +1,11 @@
-import { InferToolInput, InferToolOutput, Tool } from '@ai-sdk/provider-utils';
+import {
+  InferToolInput,
+  InferToolOutput,
+  Tool,
+  ToolCall,
+} from '@ai-sdk/provider-utils';
+import { ToolSet } from '../generate-text';
+import { ProviderMetadata } from '../types/provider-metadata';
 import { DeepPartial } from '../util/deep-partial';
 import { ValueOf } from '../util/value-of';
 
@@ -12,11 +19,21 @@ export type UITool = {
   output: unknown | undefined;
 };
 
+/**
+ * Infer the input and output types of a tool so it can be used as a UI tool.
+ */
 export type InferUITool<TOOL extends Tool> = {
   input: InferToolInput<TOOL>;
   output: InferToolOutput<TOOL>;
 };
 
+/**
+ * Infer the input and output types of a tool set so it can be used as a UI tool set.
+ */
+export type InferUITools<TOOLS extends ToolSet> = {
+  [NAME in keyof TOOLS & string]: InferUITool<TOOLS[NAME]>;
+};
+
 export type UITools = Record<string, UITool>;
 
 /**
@@ -83,6 +100,11 @@ export type TextUIPart = {
    * The state of the text part.
    */
   state?: 'streaming' | 'done';
+
+  /**
+   * The provider metadata.
+   */
+  providerMetadata?: ProviderMetadata;
 };
 
 /**
@@ -104,7 +126,7 @@ export type ReasoningUIPart = {
   /**
    * The provider metadata.
    */
-  providerMetadata?: Record<string, any>;
+  providerMetadata?: ProviderMetadata;
 };
 
 /**
@@ -115,7 +137,7 @@ export type SourceUrlUIPart = {
   sourceId: string;
   url: string;
   title?: string;
-  providerMetadata?: Record<string, any>;
+  providerMetadata?: ProviderMetadata;
 };
 
 /**
@@ -127,7 +149,7 @@ export type SourceDocumentUIPart = {
   mediaType: string;
   title: string;
   filename?: string;
-  providerMetadata?: Record<string, any>;
+  providerMetadata?: ProviderMetadata;
 };
 
 /**
@@ -153,6 +175,11 @@ export type FileUIPart = {
    * It can either be a URL to a hosted file or a [Data URL](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs).
    */
   url: string;
+
+  /**
+   * The provider metadata.
+   */
+  providerMetadata?: ProviderMetadata;
 };
 
 /**
@@ -177,25 +204,34 @@ export type ToolUIPart<TOOLS extends UITools = UITools> = ValueOf<{
   } & (
     | {
         state: 'input-streaming';
-        input: DeepPartial<TOOLS[NAME]['input']>;
+        input: DeepPartial<TOOLS[NAME]['input']> | undefined;
         providerExecuted?: boolean;
+        output?: never;
+        errorText?: never;
       }
     | {
         state: 'input-available';
         input: TOOLS[NAME]['input'];
         providerExecuted?: boolean;
+        output?: never;
+        errorText?: never;
+        callProviderMetadata?: ProviderMetadata;
       }
     | {
         state: 'output-available';
         input: TOOLS[NAME]['input'];
         output: TOOLS[NAME]['output'];
+        errorText?: never;
         providerExecuted?: boolean;
+        callProviderMetadata?: ProviderMetadata;
       }
     | {
         state: 'output-error';
         input: TOOLS[NAME]['input'];
+        output?: never;
         errorText: string;
         providerExecuted?: boolean;
+        callProviderMetadata?: ProviderMetadata;
       }
   );
 }>;
@@ -209,7 +245,7 @@ export function isToolUIPart<TOOLS extends UITools>(
 export function getToolName<TOOLS extends UITools>(
   part: ToolUIPart<TOOLS>,
 ): keyof TOOLS {
-  return part.type.split('-')[1] as keyof TOOLS;
+  return part.type.split('-').slice(1).join('-') as keyof TOOLS;
 }
 
 export type InferUIMessageMetadata<T extends UIMessage> =
@@ -220,3 +256,15 @@ export type InferUIMessageData<T extends UIMessage> =
 
 export type InferUIMessageTools<T extends UIMessage> =
   T extends UIMessage<unknown, UIDataTypes, infer TOOLS> ? TOOLS : UITools;
+
+export type InferUIMessageToolOutputs<UI_MESSAGE extends UIMessage> =
+  InferUIMessageTools<UI_MESSAGE>[keyof InferUIMessageTools<UI_MESSAGE>]['output'];
+
+export type InferUIMessageToolCall<UI_MESSAGE extends UIMessage> = ValueOf<{
+  [NAME in keyof InferUIMessageTools<UI_MESSAGE>]: ToolCall<
+    NAME & string,
+    InferUIMessageTools<UI_MESSAGE>[NAME] extends { input: infer INPUT }
+      ? INPUT
+      : never
+  >;
+}>;
diff --git a/packages/ai/src/util/create-stitchable-stream.ts b/packages/ai/src/util/create-stitchable-stream.ts
index bea49fafcf6d..06043e5f7e52 100644
--- a/packages/ai/src/util/create-stitchable-stream.ts
+++ b/packages/ai/src/util/create-stitchable-stream.ts
@@ -17,6 +17,15 @@ export function createStitchableStream<T>(): {
   let isClosed = false;
   let waitForNewStream = createResolvablePromise<void>();
 
+  const terminate = () => {
+    isClosed = true;
+    waitForNewStream.resolve();
+
+    innerStreamReaders.forEach(reader => reader.cancel());
+    innerStreamReaders = [];
+    controller?.close();
+  };
+
   const processPull = async () => {
     // Case 1: Outer stream is closed and no more inner streams
     if (isClosed && innerStreamReaders.length === 0) {
@@ -53,10 +62,7 @@ export function createStitchableStream<T>(): {
       // Case 5: Current inner stream throws an error
       controller?.error(error);
       innerStreamReaders.shift(); // Remove the errored stream
-
-      if (isClosed && innerStreamReaders.length === 0) {
-        controller?.close();
-      }
+      terminate(); // we have errored, terminate all streams
     }
   };
 
@@ -100,13 +106,6 @@ export function createStitchableStream<T>(): {
      * Immediately close the outer stream. This will cancel all inner streams
      * and close the outer stream.
      */
-    terminate: () => {
-      isClosed = true;
-      waitForNewStream.resolve();
-
-      innerStreamReaders.forEach(reader => reader.cancel());
-      innerStreamReaders = [];
-      controller?.close();
-    },
+    terminate,
   };
 }
diff --git a/packages/ai/src/util/deep-partial.ts b/packages/ai/src/util/deep-partial.ts
index d60afd80fa15..fe9637568949 100644
--- a/packages/ai/src/util/deep-partial.ts
+++ b/packages/ai/src/util/deep-partial.ts
@@ -20,7 +20,7 @@
 // IN THE SOFTWARE.
 
 import * as z3 from 'zod/v3';
-import * as z4 from 'zod/v4/core';
+import * as z4 from 'zod/v4';
 
 /**
 Create a type from an object with all keys and nested keys set to optional.
@@ -32,7 +32,7 @@ Adopted from [type-fest](https://github.com/sindresorhus/type-fest/tree/main) Pa
 
 export type DeepPartial<T> = T extends z3.ZodTypeAny
   ? DeepPartialInternal<z3.infer<T>> // resolve Zod schemas first to prevent infinite recursion
-  : T extends z4.$ZodType
+  : T extends z4.core.$ZodType
     ? DeepPartialInternal<z4.infer<T>>
     : DeepPartialInternal<T>;
 
diff --git a/packages/ai/src/util/filter-stream-errors.ts b/packages/ai/src/util/filter-stream-errors.ts
new file mode 100644
index 000000000000..e55d7e01a4f4
--- /dev/null
+++ b/packages/ai/src/util/filter-stream-errors.ts
@@ -0,0 +1,31 @@
+export function filterStreamErrors<T>(
+  readable: ReadableStream<T>,
+  onError: ({
+    error,
+    controller,
+  }: {
+    error: unknown;
+    controller: ReadableStreamDefaultController<T>;
+  }) => Promise<void> | void,
+): ReadableStream<T> {
+  return new ReadableStream<T>({
+    async start(controller) {
+      const reader = readable.getReader();
+      try {
+        while (true) {
+          const { done, value } = await reader.read();
+          if (done) {
+            controller.close();
+            break;
+          }
+          controller.enqueue(value);
+        }
+      } catch (error) {
+        await onError({ error, controller });
+      }
+    },
+    cancel(reason) {
+      return readable.cancel(reason);
+    },
+  });
+}
diff --git a/packages/ai/src/util/index.ts b/packages/ai/src/util/index.ts
index f5300aa17b9c..fab2cd210314 100644
--- a/packages/ai/src/util/index.ts
+++ b/packages/ai/src/util/index.ts
@@ -1,3 +1,5 @@
+export type { AsyncIterableStream } from './async-iterable-stream';
+export { consumeStream } from './consume-stream';
 export { cosineSimilarity } from './cosine-similarity';
 export { getTextFromDataUrl } from './data-url';
 export type { DeepPartial } from './deep-partial';
diff --git a/packages/ai/src/util/prepare-retries.ts b/packages/ai/src/util/prepare-retries.ts
index cf66c3de97c4..0ee2ea4aa520 100644
--- a/packages/ai/src/util/prepare-retries.ts
+++ b/packages/ai/src/util/prepare-retries.ts
@@ -1,7 +1,7 @@
 import { InvalidArgumentError } from '../../src/error/invalid-argument-error';
 import {
   RetryFunction,
-  retryWithExponentialBackoff,
+  retryWithExponentialBackoffRespectingRetryHeaders,
 } from '../../src/util/retry-with-exponential-backoff';
 
 /**
@@ -37,6 +37,8 @@ export function prepareRetries({
 
   return {
     maxRetries: maxRetriesResult,
-    retry: retryWithExponentialBackoff({ maxRetries: maxRetriesResult }),
+    retry: retryWithExponentialBackoffRespectingRetryHeaders({
+      maxRetries: maxRetriesResult,
+    }),
   };
 }
diff --git a/packages/ai/src/util/retry-with-exponential-backoff.test.ts b/packages/ai/src/util/retry-with-exponential-backoff.test.ts
new file mode 100644
index 000000000000..7a05a16a9218
--- /dev/null
+++ b/packages/ai/src/util/retry-with-exponential-backoff.test.ts
@@ -0,0 +1,446 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { APICallError } from '@ai-sdk/provider';
+import { retryWithExponentialBackoffRespectingRetryHeaders } from './retry-with-exponential-backoff';
+
+describe('retryWithExponentialBackoffRespectingRetryHeaders', () => {
+  beforeEach(() => {
+    vi.useFakeTimers();
+  });
+
+  afterEach(() => {
+    vi.useRealTimers();
+  });
+
+  it('should use rate limit header delay when present and reasonable', async () => {
+    let attempt = 0;
+    const retryAfterMs = 3000;
+
+    const fn = vi.fn().mockImplementation(async () => {
+      attempt++;
+      if (attempt === 1) {
+        throw new APICallError({
+          message: 'Rate limited',
+          url: 'https://api.example.com',
+          requestBodyValues: {},
+          isRetryable: true,
+          data: undefined,
+          responseHeaders: {
+            'retry-after-ms': retryAfterMs.toString(),
+          },
+        });
+      }
+      return 'success';
+    });
+
+    const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+    // Should use rate limit delay (3000ms)
+    await vi.advanceTimersByTimeAsync(retryAfterMs - 100);
+    expect(fn).toHaveBeenCalledTimes(1);
+
+    await vi.advanceTimersByTimeAsync(200);
+    expect(fn).toHaveBeenCalledTimes(2);
+
+    const result = await promise;
+    expect(result).toBe('success');
+  });
+
+  it('should parse retry-after header in seconds', async () => {
+    let attempt = 0;
+    const retryAfterSeconds = 5;
+
+    const fn = vi.fn().mockImplementation(async () => {
+      attempt++;
+      if (attempt === 1) {
+        throw new APICallError({
+          message: 'Rate limited',
+          url: 'https://api.example.com',
+          requestBodyValues: {},
+          isRetryable: true,
+          data: undefined,
+          responseHeaders: {
+            'retry-after': retryAfterSeconds.toString(),
+          },
+        });
+      }
+      return 'success';
+    });
+
+    const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+    // Fast-forward to just before the retry delay
+    await vi.advanceTimersByTimeAsync(retryAfterSeconds * 1000 - 100);
+    expect(fn).toHaveBeenCalledTimes(1);
+
+    // Fast-forward past the retry delay
+    await vi.advanceTimersByTimeAsync(200);
+    expect(fn).toHaveBeenCalledTimes(2);
+
+    const result = await promise;
+    expect(result).toBe('success');
+  });
+
+  it('should use exponential backoff when rate limit delay is too long', async () => {
+    let attempt = 0;
+    const retryAfterMs = 70000; // 70 seconds - too long
+    const initialDelay = 2000; // Default exponential backoff
+
+    const fn = vi.fn().mockImplementation(async () => {
+      attempt++;
+      if (attempt === 1) {
+        throw new APICallError({
+          message: 'Rate limited',
+          url: 'https://api.example.com',
+          requestBodyValues: {},
+          isRetryable: true,
+          data: undefined,
+          responseHeaders: {
+            'retry-after-ms': retryAfterMs.toString(),
+          },
+        });
+      }
+      return 'success';
+    });
+
+    const promise = retryWithExponentialBackoffRespectingRetryHeaders({
+      initialDelayInMs: initialDelay,
+    })(fn);
+
+    // Should use exponential backoff delay (2000ms) not the rate limit (70000ms)
+    await vi.advanceTimersByTimeAsync(initialDelay - 100);
+    expect(fn).toHaveBeenCalledTimes(1);
+
+    await vi.advanceTimersByTimeAsync(200);
+    expect(fn).toHaveBeenCalledTimes(2);
+
+    const result = await promise;
+    expect(result).toBe('success');
+  });
+
+  it('should fall back to exponential backoff when no rate limit headers', async () => {
+    let attempt = 0;
+    const initialDelay = 2000;
+
+    const fn = vi.fn().mockImplementation(async () => {
+      attempt++;
+      if (attempt === 1) {
+        throw new APICallError({
+          message: 'Temporary error',
+          url: 'https://api.example.com',
+          requestBodyValues: {},
+          isRetryable: true,
+          data: undefined,
+          responseHeaders: {},
+        });
+      }
+      return 'success';
+    });
+
+    const promise = retryWithExponentialBackoffRespectingRetryHeaders({
+      initialDelayInMs: initialDelay,
+    })(fn);
+
+    // Fast-forward to just before the initial delay
+    await vi.advanceTimersByTimeAsync(initialDelay - 100);
+    expect(fn).toHaveBeenCalledTimes(1);
+
+    // Fast-forward past the initial delay
+    await vi.advanceTimersByTimeAsync(200);
+    expect(fn).toHaveBeenCalledTimes(2);
+
+    const result = await promise;
+    expect(result).toBe('success');
+  });
+
+  it('should handle invalid rate limit header values', async () => {
+    let attempt = 0;
+    const initialDelay = 2000;
+
+    const fn = vi.fn().mockImplementation(async () => {
+      attempt++;
+      if (attempt === 1) {
+        throw new APICallError({
+          message: 'Rate limited',
+          url: 'https://api.example.com',
+          requestBodyValues: {},
+          isRetryable: true,
+          data: undefined,
+          responseHeaders: {
+            'retry-after-ms': 'invalid',
+            'retry-after': 'not-a-number',
+          },
+        });
+      }
+      return 'success';
+    });
+
+    const promise = retryWithExponentialBackoffRespectingRetryHeaders({
+      initialDelayInMs: initialDelay,
+    })(fn);
+
+    // Should fall back to exponential backoff delay
+    await vi.advanceTimersByTimeAsync(initialDelay - 100);
+    expect(fn).toHaveBeenCalledTimes(1);
+
+    await vi.advanceTimersByTimeAsync(200);
+    expect(fn).toHaveBeenCalledTimes(2);
+
+    const result = await promise;
+    expect(result).toBe('success');
+  });
+
+  describe('with mocked provider responses', () => {
+    it('should handle Anthropic 429 response with retry-after-ms header', async () => {
+      let attempt = 0;
+      const delayMs = 5000;
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          // Simulate actual Anthropic 429 response with retry-after-ms
+          throw new APICallError({
+            message: 'Rate limit exceeded',
+            url: 'https://api.anthropic.com/v1/messages',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: {
+              error: {
+                type: 'rate_limit_error',
+                message: 'Rate limit exceeded',
+              },
+            },
+            responseHeaders: {
+              'retry-after-ms': delayMs.toString(),
+              'x-request-id': 'req_123456',
+            },
+          });
+        }
+        return { content: 'Hello from Claude!' };
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+      // Should use the delay from retry-after-ms header
+      await vi.advanceTimersByTimeAsync(delayMs - 100);
+      expect(fn).toHaveBeenCalledTimes(1);
+
+      await vi.advanceTimersByTimeAsync(200);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      const result = await promise;
+      expect(result).toEqual({ content: 'Hello from Claude!' });
+    });
+
+    it('should handle OpenAI 429 response with retry-after header', async () => {
+      let attempt = 0;
+      const delaySeconds = 30; // 30 seconds
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          // Simulate actual OpenAI 429 response with retry-after
+          throw new APICallError({
+            message: 'Rate limit reached for requests',
+            url: 'https://api.openai.com/v1/chat/completions',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: {
+              error: {
+                message: 'Rate limit reached for requests',
+                type: 'requests',
+                param: null,
+                code: 'rate_limit_exceeded',
+              },
+            },
+            responseHeaders: {
+              'retry-after': delaySeconds.toString(),
+              'x-request-id': 'req_abcdef123456',
+            },
+          });
+        }
+        return { choices: [{ message: { content: 'Hello from GPT!' } }] };
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+      // Should use the delay from retry-after header (30 seconds)
+      await vi.advanceTimersByTimeAsync(delaySeconds * 1000 - 100);
+      expect(fn).toHaveBeenCalledTimes(1);
+
+      await vi.advanceTimersByTimeAsync(200);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      const result = await promise;
+      expect(result).toEqual({
+        choices: [{ message: { content: 'Hello from GPT!' } }],
+      });
+    });
+
+    it('should handle multiple retries with exponential backoff progression', async () => {
+      let attempt = 0;
+      const baseTime = 1700000000000;
+
+      vi.setSystemTime(baseTime);
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          // First attempt: 5 second rate limit delay
+          throw new APICallError({
+            message: 'Rate limited',
+            url: 'https://api.anthropic.com/v1/messages',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: undefined,
+            responseHeaders: {
+              'retry-after-ms': '5000',
+            },
+          });
+        } else if (attempt === 2) {
+          // Second attempt: 2 second rate limit delay, but exponential backoff is 4 seconds
+          throw new APICallError({
+            message: 'Rate limited',
+            url: 'https://api.anthropic.com/v1/messages',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: undefined,
+            responseHeaders: {
+              'retry-after-ms': '2000',
+            },
+          });
+        }
+        return { content: 'Success after retries!' };
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders({
+        maxRetries: 3,
+      })(fn);
+
+      // First retry - uses rate limit delay (5000ms)
+      await vi.advanceTimersByTimeAsync(5000);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      // Second retry - uses exponential backoff (4000ms) which is > rate limit delay (2000ms)
+      await vi.advanceTimersByTimeAsync(4000);
+      expect(fn).toHaveBeenCalledTimes(3);
+
+      const result = await promise;
+      expect(result).toEqual({ content: 'Success after retries!' });
+    });
+
+    it('should prefer retry-after-ms over retry-after when both present', async () => {
+      let attempt = 0;
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          throw new APICallError({
+            message: 'Rate limited',
+            url: 'https://api.example.com/v1/messages',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: undefined,
+            responseHeaders: {
+              'retry-after-ms': '3000', // 3 seconds - should use this
+              'retry-after': '10', // 10 seconds - should ignore
+            },
+          });
+        }
+        return 'success';
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+      // Should use 3 second delay from retry-after-ms
+      await vi.advanceTimersByTimeAsync(3000);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      const result = await promise;
+      expect(result).toBe('success');
+    });
+
+    it('should handle retry-after header with HTTP date format', async () => {
+      let attempt = 0;
+      const baseTime = 1700000000000;
+      const delayMs = 5000;
+
+      vi.setSystemTime(baseTime);
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          const futureDate = new Date(baseTime + delayMs).toUTCString();
+          throw new APICallError({
+            message: 'Rate limit exceeded',
+            url: 'https://api.example.com/v1/endpoint',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: undefined,
+            responseHeaders: {
+              'retry-after': futureDate,
+            },
+          });
+        }
+        return { data: 'success' };
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders()(fn);
+
+      await vi.advanceTimersByTimeAsync(0);
+      expect(fn).toHaveBeenCalledTimes(1);
+
+      // Should wait for 5 seconds
+      await vi.advanceTimersByTimeAsync(delayMs - 100);
+      expect(fn).toHaveBeenCalledTimes(1);
+
+      await vi.advanceTimersByTimeAsync(200);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      const result = await promise;
+      expect(result).toEqual({ data: 'success' });
+    });
+
+    it('should fall back to exponential backoff when rate limit delay is negative', async () => {
+      let attempt = 0;
+      const initialDelay = 2000;
+
+      const fn = vi.fn().mockImplementation(async () => {
+        attempt++;
+        if (attempt === 1) {
+          throw new APICallError({
+            message: 'Rate limited',
+            url: 'https://api.example.com',
+            requestBodyValues: {},
+            statusCode: 429,
+            isRetryable: true,
+            data: undefined,
+            responseHeaders: {
+              'retry-after-ms': '-1000', // Negative value
+            },
+          });
+        }
+        return 'success';
+      });
+
+      const promise = retryWithExponentialBackoffRespectingRetryHeaders({
+        initialDelayInMs: initialDelay,
+      })(fn);
+
+      // Should use exponential backoff delay (2000ms) not the negative rate limit
+      await vi.advanceTimersByTimeAsync(initialDelay - 100);
+      expect(fn).toHaveBeenCalledTimes(1);
+
+      await vi.advanceTimersByTimeAsync(200);
+      expect(fn).toHaveBeenCalledTimes(2);
+
+      const result = await promise;
+      expect(result).toBe('success');
+    });
+  });
+});
diff --git a/packages/ai/src/util/retry-with-exponential-backoff.ts b/packages/ai/src/util/retry-with-exponential-backoff.ts
index 72c3cfae445f..30041b886cb4 100644
--- a/packages/ai/src/util/retry-with-exponential-backoff.ts
+++ b/packages/ai/src/util/retry-with-exponential-backoff.ts
@@ -7,10 +7,66 @@ export type RetryFunction = <OUTPUT>(
 ) => PromiseLike<OUTPUT>;
 
 /**
-The `retryWithExponentialBackoff` strategy retries a failed API call with an exponential backoff.
+ * Determines the retry delay for a failed API call by checking rate limit headers.
+ *
+ * This matches the implementation used by both Anthropic and OpenAI client SDKs:
+ * - First checks for 'retry-after-ms' header (milliseconds)
+ * - Falls back to 'retry-after' header (seconds or HTTP date)
+ * - Only uses the header value if it's reasonable (between 0 and 60 seconds)
+ * - Falls back to exponential backoff if no valid headers or if the delay is unreasonable
+ *
+ * @param error - The API call error containing response headers
+ * @param exponentialBackoffDelay - The calculated exponential backoff delay to use as fallback
+ * @returns The delay in milliseconds to wait before retrying
+ */
+function getRetryDelay(
+  error: APICallError,
+  exponentialBackoffDelay: number,
+): number {
+  const headers = error.responseHeaders;
+  if (!headers) return exponentialBackoffDelay;
+
+  let timeoutMillis: number | undefined;
+
+  // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.
+  const retryAfterMs = headers['retry-after-ms'];
+  if (retryAfterMs) {
+    const timeoutMs = parseFloat(retryAfterMs);
+    if (!Number.isNaN(timeoutMs)) {
+      timeoutMillis = timeoutMs;
+    }
+  }
+
+  // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After
+  const retryAfter = headers['retry-after'];
+  if (retryAfter && timeoutMillis === undefined) {
+    const timeoutSeconds = parseFloat(retryAfter);
+    if (!Number.isNaN(timeoutSeconds)) {
+      timeoutMillis = timeoutSeconds * 1000;
+    } else {
+      timeoutMillis = Date.parse(retryAfter) - Date.now();
+    }
+  }
+
+  // If the API asks us to wait a certain amount of time (and it's a reasonable amount),
+  // just do what it says, but otherwise calculate a default
+  if (
+    timeoutMillis !== undefined &&
+    0 <= timeoutMillis &&
+    timeoutMillis < 60 * 1000
+  ) {
+    return timeoutMillis;
+  }
+
+  return exponentialBackoffDelay;
+}
+
+/**
+The `retryWithExponentialBackoffRespectingRetryHeaders` strategy retries a failed API call with an exponential backoff,
+while respecting rate limit headers (retry-after-ms and retry-after) if they are provided and reasonable (0-60 seconds).
 You can configure the maximum number of retries, the initial delay, and the backoff factor.
  */
-export const retryWithExponentialBackoff =
+export const retryWithExponentialBackoffRespectingRetryHeaders =
   ({
     maxRetries = 2,
     initialDelayInMs = 2000,
@@ -61,7 +117,10 @@ async function _retryWithExponentialBackoff<OUTPUT>(
       error.isRetryable === true &&
       tryNumber <= maxRetries
     ) {
-      await delay(delayInMs);
+      // Check for rate limit headers and use them if reasonable (0-60s)
+      const actualDelay = getRetryDelay(error, delayInMs);
+
+      await delay(actualDelay);
       return _retryWithExponentialBackoff(
         f,
         { maxRetries, delayInMs: backoffFactor * delayInMs, backoffFactor },
diff --git a/packages/ai/test/index.ts b/packages/ai/test/index.ts
index 4ecf73be7bbd..4068a8a2814f 100644
--- a/packages/ai/test/index.ts
+++ b/packages/ai/test/index.ts
@@ -4,9 +4,13 @@ export {
   convertReadableStreamToArray,
   mockId,
 } from '@ai-sdk/provider-utils/test';
-export { MockEmbeddingModelV2 } from '../core/test/mock-embedding-model-v2';
-export { MockLanguageModelV2 } from '../core/test/mock-language-model-v2';
-export { mockValues } from '../core/test/mock-values';
+export { MockEmbeddingModelV2 } from '../src/test/mock-embedding-model-v2';
+export { MockImageModelV2 } from '../src/test/mock-image-model-v2';
+export { MockLanguageModelV2 } from '../src/test/mock-language-model-v2';
+export { MockProviderV2 } from '../src/test/mock-provider-v2';
+export { MockSpeechModelV2 } from '../src/test/mock-speech-model-v2';
+export { MockTranscriptionModelV2 } from '../src/test/mock-transcription-model-v2';
+export { mockValues } from '../src/test/mock-values';
 
 import { simulateReadableStream as originalSimulateReadableStream } from '../src/util/simulate-readable-stream';
 
diff --git a/packages/ai/tsup.config.ts b/packages/ai/tsup.config.ts
index 628ea1cbc5f2..a06bbb318f0d 100644
--- a/packages/ai/tsup.config.ts
+++ b/packages/ai/tsup.config.ts
@@ -33,4 +33,16 @@ export default defineConfig([
     dts: true,
     sourcemap: true,
   },
+  // CLI binary minified
+  {
+    entry: ['src/bin/ai.ts'],
+    outDir: 'dist/bin',
+    outExtension: () => ({ js: '.min.js' }),
+    format: ['cjs'],
+    bundle: true,
+    minify: true,
+    banner: { js: '#!/usr/bin/env node' },
+    sourcemap: false,
+    noExternal: [/.*/],
+  },
 ]);
diff --git a/packages/amazon-bedrock/CHANGELOG.md b/packages/amazon-bedrock/CHANGELOG.md
index 3c061d3d4eff..aa5b1858083d 100644
--- a/packages/amazon-bedrock/CHANGELOG.md
+++ b/packages/amazon-bedrock/CHANGELOG.md
@@ -1,5 +1,60 @@
 # @ai-sdk/amazon-bedrock
 
+## 3.0.0-beta.11
+
+### Patch Changes
+
+- a89add7: fix(amazon-bedrock): add structured output support for claude models
+
+## 3.0.0-beta.10
+
+### Patch Changes
+
+- b652872: fix(provider/bedrock): include toolConfig when conversation contains tool content
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 3.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 3.0.0-beta.8
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 3.0.0-beta.7
+
+### Patch Changes
+
+- 314edb2: Add API key authentication support for Amazon Bedrock with Bearer token and automatic SigV4 fallback
+
+## 3.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 3.0.0-beta.5
+
+### Patch Changes
+
+- 89eaf5e: Add style parameter support for Amazon Bedrock Nova Canvas image generation
+
+## 3.0.0-beta.4
+
+### Patch Changes
+
+- a10bf62: Fixes "Extra inputs are not permitted" error when using reasoning with Bedrock
+
 ## 3.0.0-beta.3
 
 ### Patch Changes
diff --git a/packages/amazon-bedrock/README.md b/packages/amazon-bedrock/README.md
index 35636b0fb37f..1b2ad764661d 100644
--- a/packages/amazon-bedrock/README.md
+++ b/packages/amazon-bedrock/README.md
@@ -19,6 +19,81 @@ You can import the default provider instance `bedrock` from `@ai-sdk/amazon-bedr
 import { bedrock } from '@ai-sdk/amazon-bedrock';
 ```
 
+## Authentication
+
+The Amazon Bedrock provider supports two authentication methods with automatic fallback:
+
+### API Key Authentication (Recommended)
+
+API key authentication provides a simpler setup process compared to traditional AWS SigV4 authentication. You can authenticate using either environment variables or direct configuration.
+
+#### Using Environment Variable
+
+Set the `AWS_BEARER_TOKEN_BEDROCK` environment variable with your API key:
+
+```bash
+export AWS_BEARER_TOKEN_BEDROCK=your-api-key-here
+```
+
+```ts
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { generateText } from 'ai';
+
+const { text } = await generateText({
+  model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+  // API key is automatically loaded from AWS_BEARER_TOKEN_BEDROCK
+});
+```
+
+#### Using Direct Configuration
+
+You can also pass the API key directly in the provider configuration:
+
+```ts
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { generateText } from 'ai';
+
+const bedrockWithApiKey = bedrock.withSettings({
+  apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK, // or your API key directly
+  region: 'us-east-1', // Optional: specify region
+});
+
+const { text } = await generateText({
+  model: bedrockWithApiKey('anthropic.claude-3-haiku-20240307-v1:0'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+```
+
+### SigV4 Authentication (Fallback)
+
+If no API key is provided, the provider automatically falls back to AWS SigV4 authentication using standard AWS credentials:
+
+```ts
+import { bedrock } from '@ai-sdk/amazon-bedrock';
+import { generateText } from 'ai';
+
+// Uses AWS credentials from environment variables or AWS credential chain
+const { text } = await generateText({
+  model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
+  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+});
+```
+
+This method requires standard AWS environment variables:
+
+- `AWS_ACCESS_KEY_ID`
+- `AWS_SECRET_ACCESS_KEY`
+- `AWS_SESSION_TOKEN` (optional, for temporary credentials)
+
+### Authentication Precedence
+
+The provider uses the following authentication precedence:
+
+1. **API key from direct configuration** (`apiKey` in `withSettings()`)
+2. **API key from environment variable** (`AWS_BEARER_TOKEN_BEDROCK`)
+3. **SigV4 authentication** (AWS credential chain fallback)
+
 ## Example
 
 ```ts
diff --git a/packages/amazon-bedrock/package.json b/packages/amazon-bedrock/package.json
index 054b1bc6d7d2..777644b6e39c 100644
--- a/packages/amazon-bedrock/package.json
+++ b/packages/amazon-bedrock/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/amazon-bedrock",
-  "version": "3.0.0-beta.3",
+  "version": "3.0.0-beta.11",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -43,10 +43,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8.3.0",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/amazon-bedrock/src/bedrock-chat-language-model.test.ts b/packages/amazon-bedrock/src/bedrock-chat-language-model.test.ts
index 42eabac06002..463311862f3f 100644
--- a/packages/amazon-bedrock/src/bedrock-chat-language-model.test.ts
+++ b/packages/amazon-bedrock/src/bedrock-chat-language-model.test.ts
@@ -1350,6 +1350,142 @@ describe('doStream', () => {
       ]
     `);
   });
+
+  it('should transform reasoningConfig to thinking in stream requests', async () => {
+    setupMockEventStreamHandler();
+    server.urls[streamUrl].response = {
+      type: 'stream-chunks',
+      chunks: [
+        JSON.stringify({
+          contentBlockDelta: {
+            contentBlockIndex: 0,
+            delta: { text: 'Hello' },
+          },
+        }) + '\n',
+        JSON.stringify({
+          messageStop: {
+            stopReason: 'stop_sequence',
+          },
+        }) + '\n',
+      ],
+    };
+
+    await model.doStream({
+      prompt: TEST_PROMPT,
+      maxOutputTokens: 100,
+      includeRawChunks: false,
+      providerOptions: {
+        bedrock: {
+          reasoningConfig: {
+            type: 'enabled',
+            budgetTokens: 2000,
+          },
+        },
+      },
+    });
+
+    const requestBody = await server.calls[0].requestBodyJson;
+
+    // Should contain thinking in additionalModelRequestFields
+    expect(requestBody).toMatchObject({
+      additionalModelRequestFields: {
+        thinking: {
+          type: 'enabled',
+          budget_tokens: 2000,
+        },
+      },
+      // Should have adjusted maxOutputTokens (100 + 2000)
+      inferenceConfig: {
+        maxOutputTokens: 2100,
+      },
+    });
+
+    // Should NOT contain reasoningConfig at the top level
+    expect(requestBody).not.toHaveProperty('reasoningConfig');
+  });
+
+  it('should handle JSON response format in streaming', async () => {
+    setupMockEventStreamHandler();
+    server.urls[streamUrl].response = {
+      type: 'stream-chunks',
+      chunks: [
+        JSON.stringify({
+          contentBlockStart: {
+            contentBlockIndex: 0,
+            start: {
+              toolUse: { toolUseId: 'json-tool-id', name: 'json' },
+            },
+          },
+        }) + '\n',
+        JSON.stringify({
+          contentBlockDelta: {
+            contentBlockIndex: 0,
+            delta: { toolUse: { input: '{"value":' } },
+          },
+        }) + '\n',
+        JSON.stringify({
+          contentBlockDelta: {
+            contentBlockIndex: 0,
+            delta: { toolUse: { input: '"test"}' } },
+          },
+        }) + '\n',
+        JSON.stringify({
+          contentBlockStop: { contentBlockIndex: 0 },
+        }) + '\n',
+        JSON.stringify({
+          messageStop: {
+            stopReason: 'tool_use',
+          },
+        }) + '\n',
+      ],
+    };
+
+    const { stream } = await model.doStream({
+      prompt: [
+        { role: 'user', content: [{ type: 'text', text: 'Generate JSON' }] },
+      ],
+      responseFormat: {
+        type: 'json',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+        },
+      },
+      includeRawChunks: false,
+    });
+
+    expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+      [
+        {
+          "type": "stream-start",
+          "warnings": [],
+        },
+        {
+          "id": "0",
+          "type": "text-start",
+        },
+        {
+          "delta": "{"value":"test"}",
+          "id": "0",
+          "type": "text-delta",
+        },
+        {
+          "id": "0",
+          "type": "text-end",
+        },
+        {
+          "finishReason": "tool-calls",
+          "type": "finish",
+          "usage": {
+            "inputTokens": undefined,
+            "outputTokens": undefined,
+            "totalTokens": undefined,
+          },
+        },
+      ]
+    `);
+  });
 });
 
 describe('doGenerate', () => {
@@ -1753,6 +1889,42 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should transform reasoningConfig to thinking in additionalModelRequestFields', async () => {
+    prepareJsonResponse({});
+
+    await model.doGenerate({
+      prompt: TEST_PROMPT,
+      maxOutputTokens: 100,
+      providerOptions: {
+        bedrock: {
+          reasoningConfig: {
+            type: 'enabled',
+            budgetTokens: 2000,
+          },
+        },
+      },
+    });
+
+    const requestBody = await server.calls[0].requestBodyJson;
+
+    // Should contain thinking in additionalModelRequestFields
+    expect(requestBody).toMatchObject({
+      additionalModelRequestFields: {
+        thinking: {
+          type: 'enabled',
+          budget_tokens: 2000,
+        },
+      },
+      // Should have adjusted maxOutputTokens (100 + 2000)
+      inferenceConfig: {
+        maxOutputTokens: 2100,
+      },
+    });
+
+    // Should NOT contain reasoningConfig at the top level
+    expect(requestBody).not.toHaveProperty('reasoningConfig');
+  });
+
   it('should extract reasoning text with signature', async () => {
     const reasoningText = 'I need to think about this problem carefully...';
     const signature = 'abc123signature';
@@ -1918,4 +2090,253 @@ describe('doGenerate', () => {
       ]
     `);
   });
+
+  it('should omit toolConfig and filter tool content when conversation has tool calls but no active tools', async () => {
+    prepareJsonResponse({});
+
+    const conversationWithToolCalls: LanguageModelV2Prompt = [
+      {
+        role: 'user',
+        content: [{ type: 'text', text: 'What is the weather in Toronto?' }],
+      },
+      {
+        role: 'assistant',
+        content: [
+          {
+            type: 'tool-call',
+            toolCallId: 'tool-call-1',
+            toolName: 'weather',
+            input: { city: 'Toronto' },
+          },
+        ],
+      },
+      {
+        role: 'tool',
+        content: [
+          {
+            type: 'tool-result',
+            toolCallId: 'tool-call-1',
+            toolName: 'weather',
+            output: {
+              type: 'text',
+              value: 'The weather in Toronto is 20°C.',
+            },
+          },
+        ],
+      },
+      {
+        role: 'user',
+        content: [{ type: 'text', text: 'Now give me a summary.' }],
+      },
+    ];
+
+    const result = await model.doGenerate({
+      prompt: conversationWithToolCalls,
+      tools: [],
+    });
+
+    const requestBody = await server.calls[0].requestBodyJson;
+
+    expect(requestBody.toolConfig).toMatchInlineSnapshot(`undefined`);
+
+    expect(requestBody.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "content": [
+            {
+              "text": "What is the weather in Toronto?",
+            },
+            {
+              "text": "Now give me a summary.",
+            },
+          ],
+          "role": "user",
+        },
+      ]
+    `);
+
+    expect(result.warnings).toMatchInlineSnapshot(`
+      [
+        {
+          "details": "Tool calls and results removed from conversation because Bedrock does not support tool content without active tools.",
+          "setting": "toolContent",
+          "type": "unsupported-setting",
+        },
+      ]
+    `);
+  });
+
+  it('should handle JSON response format with schema', async () => {
+    prepareJsonResponse({
+      content: [
+        {
+          type: 'tool_use',
+          id: 'json-tool-id',
+          name: 'json',
+          input: {
+            recipe: { name: 'Lasagna', ingredients: ['pasta', 'cheese'] },
+          },
+        },
+      ],
+    });
+
+    const result = await model.doGenerate({
+      prompt: [
+        {
+          role: 'user',
+          content: [{ type: 'text', text: 'Generate a recipe' }],
+        },
+      ],
+      responseFormat: {
+        type: 'json',
+        schema: {
+          type: 'object',
+          properties: {
+            recipe: {
+              type: 'object',
+              properties: {
+                name: { type: 'string' },
+                ingredients: { type: 'array', items: { type: 'string' } },
+              },
+              required: ['name', 'ingredients'],
+            },
+          },
+          required: ['recipe'],
+        },
+      },
+    });
+
+    expect(result.content).toMatchInlineSnapshot(`[]`);
+
+    expect(result.providerMetadata?.bedrock?.isJsonResponseFromTool).toBe(true);
+
+    const requestBody = await server.calls[0].requestBodyJson;
+    expect(requestBody.toolConfig.tools).toHaveLength(1);
+    expect(requestBody.toolConfig.tools[0].toolSpec.name).toBe('json');
+    expect(requestBody.toolConfig.tools[0].toolSpec.description).toBe(
+      'Respond with a JSON object.',
+    );
+    expect(requestBody.toolConfig.toolChoice).toEqual({
+      tool: { name: 'json' },
+    });
+  });
+
+  it('should warn when tools are provided with JSON response format', async () => {
+    prepareJsonResponse({
+      content: [
+        {
+          type: 'tool_use',
+          id: 'json-tool-id',
+          name: 'json',
+          input: { value: 'test' },
+        },
+      ],
+    });
+
+    const result = await model.doGenerate({
+      prompt: [{ role: 'user', content: [{ type: 'text', text: 'Test' }] }],
+      responseFormat: {
+        type: 'json',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+        },
+      },
+      tools: [
+        {
+          type: 'function',
+          name: 'test-tool',
+          inputSchema: { type: 'object', properties: {} },
+        },
+      ],
+    });
+
+    expect(result.warnings).toEqual([
+      {
+        type: 'other',
+        message:
+          'JSON response format does not support tools. The provided tools are ignored.',
+      },
+    ]);
+  });
+
+  it('should handle unsupported response format types', async () => {
+    prepareJsonResponse({});
+
+    const result = await model.doGenerate({
+      prompt: TEST_PROMPT,
+      responseFormat: { type: 'xml' as any },
+    });
+
+    expect(result.warnings).toEqual([
+      {
+        type: 'unsupported-setting',
+        setting: 'responseFormat',
+        details: 'Only text and json response formats are supported.',
+      },
+    ]);
+  });
+
+  it('should omit toolConfig when conversation has tool calls but toolChoice is none', async () => {
+    prepareJsonResponse({});
+
+    const conversationWithToolCalls: LanguageModelV2Prompt = [
+      {
+        role: 'user',
+        content: [{ type: 'text', text: 'What is the weather in Toronto?' }],
+      },
+      {
+        role: 'assistant',
+        content: [
+          {
+            type: 'tool-call',
+            toolCallId: 'tool-call-1',
+            toolName: 'weather',
+            input: { city: 'Toronto' },
+          },
+        ],
+      },
+      {
+        role: 'tool',
+        content: [
+          {
+            type: 'tool-result',
+            toolCallId: 'tool-call-1',
+            toolName: 'weather',
+            output: {
+              type: 'text',
+              value: 'The weather in Toronto is 20°C.',
+            },
+          },
+        ],
+      },
+      {
+        role: 'user',
+        content: [{ type: 'text', text: 'Now give me a summary.' }],
+      },
+    ];
+
+    await model.doGenerate({
+      prompt: conversationWithToolCalls,
+      tools: [
+        {
+          type: 'function',
+          name: 'weather',
+          inputSchema: {
+            type: 'object',
+            properties: { city: { type: 'string' } },
+            required: ['city'],
+            additionalProperties: false,
+            $schema: 'http://json-schema.org/draft-07/schema#',
+          },
+        },
+      ],
+      toolChoice: { type: 'none' },
+    });
+
+    const requestBody = await server.calls[0].requestBodyJson;
+
+    expect(requestBody.toolConfig).toMatchInlineSnapshot(`undefined`);
+  });
 });
diff --git a/packages/amazon-bedrock/src/bedrock-chat-language-model.ts b/packages/amazon-bedrock/src/bedrock-chat-language-model.ts
index c8760c50607d..a98b818f64f5 100644
--- a/packages/amazon-bedrock/src/bedrock-chat-language-model.ts
+++ b/packages/amazon-bedrock/src/bedrock-chat-language-model.ts
@@ -8,6 +8,7 @@ import {
   LanguageModelV2StreamPart,
   LanguageModelV2Usage,
   SharedV2ProviderMetadata,
+  LanguageModelV2FunctionTool,
 } from '@ai-sdk/provider';
 import {
   FetchFunction,
@@ -69,6 +70,7 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
   }: Parameters<LanguageModelV2['doGenerate']>[0]): Promise<{
     command: BedrockConverseInput;
     warnings: LanguageModelV2CallWarning[];
+    usesJsonResponseTool: boolean;
   }> {
     // Parse provider options
     const bedrockOptions =
@@ -108,15 +110,38 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
       });
     }
 
-    if (responseFormat != null && responseFormat.type !== 'text') {
+    if (
+      responseFormat != null &&
+      responseFormat.type !== 'text' &&
+      responseFormat.type !== 'json'
+    ) {
       warnings.push({
         type: 'unsupported-setting',
         setting: 'responseFormat',
-        details: 'JSON response format is not supported.',
+        details: 'Only text and json response formats are supported.',
       });
     }
 
-    const { system, messages } = await convertToBedrockChatMessages(prompt);
+    if (tools != null && responseFormat?.type === 'json') {
+      if (tools.length > 0) {
+        warnings.push({
+          type: 'other',
+          message:
+            'JSON response format does not support tools. ' +
+            'The provided tools are ignored.',
+        });
+      }
+    }
+
+    const jsonResponseTool: LanguageModelV2FunctionTool | undefined =
+      responseFormat?.type === 'json' && responseFormat.schema != null
+        ? {
+            type: 'function',
+            name: 'json',
+            description: 'Respond with a JSON object.',
+            inputSchema: responseFormat.schema,
+          }
+        : undefined;
 
     const isThinking = bedrockOptions.reasoningConfig?.type === 'enabled';
     const thinkingBudget = bedrockOptions.reasoningConfig?.budgetTokens;
@@ -136,10 +161,10 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
         inferenceConfig.maxOutputTokens = thinkingBudget + 4096; // Default + thinking budget maxOutputTokens = 4096, TODO update default in v5
       }
       // Add them to additional model request fields
-      // Add reasoning config to additionalModelRequestFields
+      // Add thinking config to additionalModelRequestFields
       bedrockOptions.additionalModelRequestFields = {
         ...bedrockOptions.additionalModelRequestFields,
-        reasoningConfig: {
+        thinking: {
           type: bedrockOptions.reasoningConfig?.type,
           budget_tokens: thinkingBudget,
         },
@@ -166,7 +191,63 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
       });
     }
 
-    const { toolConfig, toolWarnings } = prepareTools({ tools, toolChoice });
+    // Filter tool content from prompt when no tools are available
+    const activeTools =
+      jsonResponseTool != null ? [jsonResponseTool] : (tools ?? []);
+    let filteredPrompt = prompt;
+
+    if (activeTools.length === 0) {
+      const hasToolContent = prompt.some(
+        message =>
+          'content' in message &&
+          Array.isArray(message.content) &&
+          message.content.some(
+            part => part.type === 'tool-call' || part.type === 'tool-result',
+          ),
+      );
+
+      if (hasToolContent) {
+        filteredPrompt = prompt
+          .map(message =>
+            message.role === 'system'
+              ? message
+              : {
+                  ...message,
+                  content: message.content.filter(
+                    part =>
+                      part.type !== 'tool-call' && part.type !== 'tool-result',
+                  ),
+                },
+          )
+          .filter(
+            message => message.role === 'system' || message.content.length > 0,
+          ) as typeof prompt;
+
+        warnings.push({
+          type: 'unsupported-setting',
+          setting: 'toolContent',
+          details:
+            'Tool calls and results removed from conversation because Bedrock does not support tool content without active tools.',
+        });
+      }
+    }
+
+    const { system, messages } =
+      await convertToBedrockChatMessages(filteredPrompt);
+
+    const { toolConfig, toolWarnings } = prepareTools({
+      tools: activeTools,
+      toolChoice:
+        jsonResponseTool != null
+          ? { type: 'tool', toolName: jsonResponseTool.name }
+          : toolChoice,
+      prompt: filteredPrompt,
+    });
+
+    // Filter out reasoningConfig from providerOptions.bedrock to prevent sending it to Bedrock API
+    const { reasoningConfig: _, ...filteredBedrockOptions } =
+      providerOptions?.bedrock || {};
+
     return {
       command: {
         system,
@@ -176,10 +257,11 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
         ...(Object.keys(inferenceConfig).length > 0 && {
           inferenceConfig,
         }),
-        ...providerOptions?.bedrock,
-        ...(toolConfig.tools?.length ? { toolConfig } : {}),
+        ...filteredBedrockOptions,
+        ...(toolConfig.tools !== undefined ? { toolConfig } : {}),
       },
       warnings: [...warnings, ...toolWarnings],
+      usesJsonResponseTool: jsonResponseTool != null,
     };
   }
 
@@ -190,7 +272,11 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
   async doGenerate(
     options: Parameters<LanguageModelV2['doGenerate']>[0],
   ): Promise<Awaited<ReturnType<LanguageModelV2['doGenerate']>>> {
-    const { command: args, warnings } = await this.getArgs(options);
+    const {
+      command: args,
+      warnings,
+      usesJsonResponseTool,
+    } = await this.getArgs(options);
 
     const url = `${this.getUrl(this.modelId)}/converse`;
     const { value: response, responseHeaders } = await postJsonToApi({
@@ -217,7 +303,11 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
     for (const part of response.output.message.content) {
       // text
       if (part.text) {
-        content.push({ type: 'text', text: part.text });
+        // when a json response tool is used, the tool call is returned as text,
+        // so we ignore the text content:
+        if (!usesJsonResponseTool) {
+          content.push({ type: 'text', text: part.text });
+        }
       }
 
       // reasoning
@@ -253,18 +343,27 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
 
       // tool calls
       if (part.toolUse) {
-        content.push({
-          type: 'tool-call' as const,
-          toolCallId: part.toolUse?.toolUseId ?? this.config.generateId(),
-          toolName: part.toolUse?.name ?? `tool-${this.config.generateId()}`,
-          input: JSON.stringify(part.toolUse?.input ?? ''),
-        });
+        content.push(
+          // when a json response tool is used, the tool call becomes the text:
+          usesJsonResponseTool
+            ? {
+                type: 'text',
+                text: JSON.stringify(part.toolUse.input),
+              }
+            : {
+                type: 'tool-call' as const,
+                toolCallId: part.toolUse?.toolUseId ?? this.config.generateId(),
+                toolName:
+                  part.toolUse?.name ?? `tool-${this.config.generateId()}`,
+                input: JSON.stringify(part.toolUse?.input ?? ''),
+              },
+        );
       }
     }
 
     // provider metadata:
     const providerMetadata =
-      response.trace || response.usage
+      response.trace || response.usage || usesJsonResponseTool
         ? {
             bedrock: {
               ...(response.trace && typeof response.trace === 'object'
@@ -275,6 +374,7 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
                   cacheWriteInputTokens: response.usage.cacheWriteInputTokens,
                 },
               }),
+              ...(usesJsonResponseTool && { isJsonResponseFromTool: true }),
             },
           }
         : undefined;
@@ -302,7 +402,11 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
   async doStream(
     options: Parameters<LanguageModelV2['doStream']>[0],
   ): Promise<Awaited<ReturnType<LanguageModelV2['doStream']>>> {
-    const { command: args, warnings } = await this.getArgs(options);
+    const {
+      command: args,
+      warnings,
+      usesJsonResponseTool,
+    } = await this.getArgs(options);
     const url = `${this.getUrl(this.modelId)}/converse-stream`;
 
     const { value: response, responseHeaders } = await postJsonToApi({
@@ -421,11 +525,14 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
                   }
                 : undefined;
 
-              if (cacheUsage || trace) {
+              if (cacheUsage || trace || usesJsonResponseTool) {
                 providerMetadata = {
                   bedrock: {
                     ...cacheUsage,
                     ...trace,
+                    ...(usesJsonResponseTool && {
+                      isJsonResponseFromTool: true,
+                    }),
                   },
                 };
               }
@@ -452,17 +559,24 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
 
               if (contentBlocks[blockIndex] == null) {
                 contentBlocks[blockIndex] = { type: 'text' };
+
+                // when a json response tool is used, we don't emit text events
+                if (!usesJsonResponseTool) {
+                  controller.enqueue({
+                    type: 'text-start',
+                    id: String(blockIndex),
+                  });
+                }
+              }
+
+              // when a json response tool is used, we don't emit text events
+              if (!usesJsonResponseTool) {
                 controller.enqueue({
-                  type: 'text-start',
+                  type: 'text-delta',
                   id: String(blockIndex),
+                  delta: value.contentBlockDelta.delta.text,
                 });
               }
-
-              controller.enqueue({
-                type: 'text-delta',
-                id: String(blockIndex),
-                delta: value.contentBlockDelta.delta.text,
-              });
             }
 
             if (value.contentBlockStop?.contentBlockIndex != null) {
@@ -476,21 +590,41 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
                     id: String(blockIndex),
                   });
                 } else if (contentBlock.type === 'text') {
-                  controller.enqueue({
-                    type: 'text-end',
-                    id: String(blockIndex),
-                  });
+                  // when a json response tool is used, we don't emit text events
+                  if (!usesJsonResponseTool) {
+                    controller.enqueue({
+                      type: 'text-end',
+                      id: String(blockIndex),
+                    });
+                  }
                 } else if (contentBlock.type === 'tool-call') {
-                  controller.enqueue({
-                    type: 'tool-input-end',
-                    id: contentBlock.toolCallId,
-                  });
-                  controller.enqueue({
-                    type: 'tool-call',
-                    toolCallId: contentBlock.toolCallId,
-                    toolName: contentBlock.toolName,
-                    input: contentBlock.jsonText,
-                  });
+                  if (usesJsonResponseTool) {
+                    // when a json response tool is used, emit the tool input as text
+                    controller.enqueue({
+                      type: 'text-start',
+                      id: String(blockIndex),
+                    });
+                    controller.enqueue({
+                      type: 'text-delta',
+                      id: String(blockIndex),
+                      delta: contentBlock.jsonText,
+                    });
+                    controller.enqueue({
+                      type: 'text-end',
+                      id: String(blockIndex),
+                    });
+                  } else {
+                    controller.enqueue({
+                      type: 'tool-input-end',
+                      id: contentBlock.toolCallId,
+                    });
+                    controller.enqueue({
+                      type: 'tool-call',
+                      toolCallId: contentBlock.toolCallId,
+                      toolName: contentBlock.toolName,
+                      input: contentBlock.jsonText,
+                    });
+                  }
                 }
 
                 delete contentBlocks[blockIndex];
@@ -559,11 +693,14 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
                 jsonText: '',
               };
 
-              controller.enqueue({
-                type: 'tool-input-start',
-                id: toolUse.toolUseId!,
-                toolName: toolUse.name!,
-              });
+              // when a json response tool is used, we don't emit tool events
+              if (!usesJsonResponseTool) {
+                controller.enqueue({
+                  type: 'tool-input-start',
+                  id: toolUse.toolUseId!,
+                  toolName: toolUse.name!,
+                });
+              }
             }
 
             const contentBlockDelta = value.contentBlockDelta;
@@ -578,11 +715,14 @@ export class BedrockChatLanguageModel implements LanguageModelV2 {
               if (contentBlock?.type === 'tool-call') {
                 const delta = contentBlockDelta.delta.toolUse.input ?? '';
 
-                controller.enqueue({
-                  type: 'tool-input-delta',
-                  id: contentBlock.toolCallId,
-                  delta: delta,
-                });
+                // when a json response tool is used, we don't emit tool events
+                if (!usesJsonResponseTool) {
+                  controller.enqueue({
+                    type: 'tool-input-delta',
+                    id: contentBlock.toolCallId,
+                    delta: delta,
+                  });
+                }
 
                 contentBlock.jsonText += delta;
               }
diff --git a/packages/amazon-bedrock/src/bedrock-image-model.test.ts b/packages/amazon-bedrock/src/bedrock-image-model.test.ts
index 0e71f1e3a03a..88a29a2ede0f 100644
--- a/packages/amazon-bedrock/src/bedrock-image-model.test.ts
+++ b/packages/amazon-bedrock/src/bedrock-image-model.test.ts
@@ -202,4 +202,57 @@ describe('doGenerate', () => {
     );
     expect(result.response.modelId).toBe('amazon.nova-canvas-v1:0');
   });
+
+  it('should pass the style parameter when provided', async () => {
+    await model.doGenerate({
+      prompt,
+      n: 1,
+      size: '1024x1024',
+      aspectRatio: undefined,
+      seed: 1234,
+      providerOptions: {
+        bedrock: {
+          negativeText: 'bad',
+          quality: 'premium',
+          cfgScale: 1.2,
+          style: 'PHOTOREALISM',
+        },
+      },
+    });
+
+    expect(await server.calls[0].requestBodyJson).toStrictEqual({
+      taskType: 'TEXT_IMAGE',
+      textToImageParams: {
+        text: prompt,
+        negativeText: 'bad',
+        style: 'PHOTOREALISM',
+      },
+      imageGenerationConfig: {
+        numberOfImages: 1,
+        seed: 1234,
+        quality: 'premium',
+        cfgScale: 1.2,
+        width: 1024,
+        height: 1024,
+      },
+    });
+  });
+
+  it('should not include style parameter when not provided', async () => {
+    await model.doGenerate({
+      prompt,
+      n: 1,
+      size: '1024x1024',
+      aspectRatio: undefined,
+      seed: 1234,
+      providerOptions: {
+        bedrock: {
+          quality: 'standard',
+        },
+      },
+    });
+
+    const requestBody = await server.calls[0].requestBodyJson;
+    expect(requestBody.textToImageParams).not.toHaveProperty('style');
+  });
 });
diff --git a/packages/amazon-bedrock/src/bedrock-image-model.ts b/packages/amazon-bedrock/src/bedrock-image-model.ts
index 4d81238dd8dc..966580a763d1 100644
--- a/packages/amazon-bedrock/src/bedrock-image-model.ts
+++ b/packages/amazon-bedrock/src/bedrock-image-model.ts
@@ -65,6 +65,11 @@ export class BedrockImageModel implements ImageModelV2 {
               negativeText: providerOptions.bedrock.negativeText,
             }
           : {}),
+        ...(providerOptions?.bedrock?.style
+          ? {
+              style: providerOptions.bedrock.style,
+            }
+          : {}),
       },
       imageGenerationConfig: {
         ...(width ? { width } : {}),
diff --git a/packages/amazon-bedrock/src/bedrock-prepare-tools.ts b/packages/amazon-bedrock/src/bedrock-prepare-tools.ts
index 9824b66722d0..16af466f64f6 100644
--- a/packages/amazon-bedrock/src/bedrock-prepare-tools.ts
+++ b/packages/amazon-bedrock/src/bedrock-prepare-tools.ts
@@ -2,26 +2,49 @@ import {
   JSONObject,
   LanguageModelV2CallOptions,
   LanguageModelV2CallWarning,
+  LanguageModelV2Prompt,
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
 import { BedrockTool, BedrockToolConfiguration } from './bedrock-api-types';
 
+/**
+ * Check if the conversation contains any tool calls or tool results.
+ */
+function promptContainsToolContent(prompt: LanguageModelV2Prompt): boolean {
+  return prompt.some(message => {
+    if ('content' in message && Array.isArray(message.content)) {
+      return message.content.some(
+        part => part.type === 'tool-call' || part.type === 'tool-result',
+      );
+    }
+    return false;
+  });
+}
+
 export function prepareTools({
   tools,
   toolChoice,
+  prompt,
 }: {
   tools: LanguageModelV2CallOptions['tools'];
   toolChoice?: LanguageModelV2CallOptions['toolChoice'];
+  prompt: LanguageModelV2Prompt;
 }): {
   toolConfig: BedrockToolConfiguration; // note: do not rename, name required by Bedrock
   toolWarnings: LanguageModelV2CallWarning[];
 } {
-  // when the tools array is empty, change it to undefined to prevent errors:
   tools = tools?.length ? tools : undefined;
 
+  const hasToolContent = promptContainsToolContent(prompt);
+
   if (tools == null) {
+    // When no tools are provided, completely omit toolConfig from the request.
+    // This works regardless of conversation history - Bedrock handles it gracefully.
     return {
-      toolConfig: { tools: undefined, toolChoice: undefined },
+      toolConfig: {
+        tools: undefined,
+        toolChoice: undefined,
+      },
       toolWarnings: [],
     };
   }
@@ -66,9 +89,13 @@ export function prepareTools({
         toolWarnings,
       };
     case 'none':
-      // Bedrock does not support 'none' tool choice, so we remove the tools:
+      // Bedrock does not support 'none' tool choice, so we omit toolConfig entirely.
+      // This works regardless of conversation history - Bedrock handles it gracefully.
       return {
-        toolConfig: { tools: undefined, toolChoice: undefined },
+        toolConfig: {
+          tools: undefined,
+          toolChoice: undefined,
+        },
         toolWarnings,
       };
     case 'tool':
diff --git a/packages/amazon-bedrock/src/bedrock-provider.test.ts b/packages/amazon-bedrock/src/bedrock-provider.test.ts
index 76eefcc3d112..24ba55479a48 100644
--- a/packages/amazon-bedrock/src/bedrock-provider.test.ts
+++ b/packages/amazon-bedrock/src/bedrock-provider.test.ts
@@ -22,15 +22,42 @@ vi.mock('./bedrock-image-model', () => ({
   BedrockImageModel: vi.fn(),
 }));
 
+vi.mock('./bedrock-sigv4-fetch', () => ({
+  createSigV4FetchFunction: vi.fn(),
+  createApiKeyFetchFunction: vi.fn(),
+}));
+
 vi.mock('@ai-sdk/provider-utils', () => ({
-  loadSetting: vi.fn().mockImplementation(({ settingValue }) => 'us-east-1'),
+  loadSetting: vi
+    .fn()
+    .mockImplementation(({ settingValue }) => settingValue || 'us-east-1'),
+  loadOptionalSetting: vi
+    .fn()
+    .mockImplementation(({ settingValue }) => settingValue),
   withoutTrailingSlash: vi.fn(url => url),
   generateId: vi.fn().mockReturnValue('mock-id'),
 }));
 
+// Import mocked modules to get references
+import {
+  createSigV4FetchFunction,
+  createApiKeyFetchFunction,
+} from './bedrock-sigv4-fetch';
+import { loadOptionalSetting } from '@ai-sdk/provider-utils';
+
+const mockCreateSigV4FetchFunction = vi.mocked(createSigV4FetchFunction);
+const mockCreateApiKeyFetchFunction = vi.mocked(createApiKeyFetchFunction);
+const mockLoadOptionalSetting = vi.mocked(loadOptionalSetting);
+
 describe('AmazonBedrockProvider', () => {
   beforeEach(() => {
     vi.clearAllMocks();
+    // Reset mock implementations
+    mockCreateSigV4FetchFunction.mockReturnValue(vi.fn());
+    mockCreateApiKeyFetchFunction.mockReturnValue(vi.fn());
+    mockLoadOptionalSetting.mockImplementation(
+      ({ settingValue }) => settingValue,
+    );
   });
 
   describe('createAmazonBedrock', () => {
@@ -122,6 +149,223 @@ describe('AmazonBedrockProvider', () => {
         'The Amazon Bedrock model function cannot be called with the new keyword.',
       );
     });
+
+    describe('API Key Authentication', () => {
+      it('should use API key when provided in options', () => {
+        const provider = createAmazonBedrock({
+          apiKey: 'test-api-key',
+          region: 'us-east-1',
+        });
+
+        // Verify that createApiKeyFetchFunction was called with the correct API key
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'test-api-key',
+          undefined, // fetch function
+        );
+        expect(mockCreateSigV4FetchFunction).not.toHaveBeenCalled();
+
+        provider('anthropic.claude-v2');
+
+        const constructorCall = BedrockChatLanguageModelMock.mock.calls[0];
+        expect(constructorCall[0]).toBe('anthropic.claude-v2');
+        expect(constructorCall[1].headers).toEqual({});
+        expect(constructorCall[1].baseUrl()).toBe(
+          'https://bedrock-runtime.us-east-1.amazonaws.com',
+        );
+      });
+
+      it('should use API key from environment variable', () => {
+        // Mock loadOptionalSetting to return environment variable value
+        mockLoadOptionalSetting.mockImplementation(
+          ({ settingValue, environmentVariableName }) => {
+            if (environmentVariableName === 'AWS_BEARER_TOKEN_BEDROCK') {
+              return 'env-api-key';
+            }
+            return settingValue;
+          },
+        );
+
+        const provider = createAmazonBedrock({
+          region: 'us-east-1',
+        });
+
+        // Verify that createApiKeyFetchFunction was called with the environment variable value
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'env-api-key',
+          undefined,
+        );
+        expect(mockCreateSigV4FetchFunction).not.toHaveBeenCalled();
+      });
+
+      it('should prioritize options.apiKey over environment variable', () => {
+        // Mock loadOptionalSetting to return environment variable value when no settingValue
+        mockLoadOptionalSetting.mockImplementation(
+          ({ settingValue, environmentVariableName }) => {
+            if (settingValue) {
+              return settingValue;
+            }
+            if (environmentVariableName === 'AWS_BEARER_TOKEN_BEDROCK') {
+              return 'env-api-key';
+            }
+            return undefined;
+          },
+        );
+
+        const provider = createAmazonBedrock({
+          apiKey: 'options-api-key',
+          region: 'us-east-1',
+        });
+
+        // Verify that options.apiKey takes precedence
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'options-api-key',
+          undefined,
+        );
+        expect(mockCreateSigV4FetchFunction).not.toHaveBeenCalled();
+      });
+
+      it('should fall back to SigV4 when no API key provided', () => {
+        // Mock loadOptionalSetting to return undefined (no API key)
+        mockLoadOptionalSetting.mockImplementation(() => undefined);
+
+        const provider = createAmazonBedrock({
+          region: 'us-east-1',
+          accessKeyId: 'test-access-key',
+          secretAccessKey: 'test-secret-key',
+        });
+
+        // Verify that SigV4 authentication is used as fallback
+        expect(mockCreateApiKeyFetchFunction).not.toHaveBeenCalled();
+        expect(mockCreateSigV4FetchFunction).toHaveBeenCalled();
+
+        provider('anthropic.claude-v2');
+
+        const constructorCall = BedrockChatLanguageModelMock.mock.calls[0];
+        expect(constructorCall[0]).toBe('anthropic.claude-v2');
+      });
+
+      it('should pass custom fetch function to API key authentication', () => {
+        const customFetch = vi.fn();
+
+        const provider = createAmazonBedrock({
+          apiKey: 'test-api-key',
+          region: 'us-east-1',
+          fetch: customFetch,
+        });
+
+        // Verify that custom fetch function is passed to createApiKeyFetchFunction
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'test-api-key',
+          customFetch,
+        );
+      });
+
+      it('should pass custom fetch function to SigV4 authentication', () => {
+        // Mock loadOptionalSetting to return undefined (no API key)
+        mockLoadOptionalSetting.mockImplementation(() => undefined);
+
+        const customFetch = vi.fn();
+
+        const provider = createAmazonBedrock({
+          region: 'us-east-1',
+          accessKeyId: 'test-access-key',
+          secretAccessKey: 'test-secret-key',
+          fetch: customFetch,
+        });
+
+        // Verify that custom fetch function is passed to createSigV4FetchFunction
+        expect(mockCreateSigV4FetchFunction).toHaveBeenCalledWith(
+          expect.any(Function), // credentials function
+          customFetch,
+        );
+      });
+
+      it('should work with embedding models when using API key', () => {
+        const provider = createAmazonBedrock({
+          apiKey: 'test-api-key',
+          region: 'us-east-1',
+          headers: { 'Custom-Header': 'value' },
+        });
+
+        provider.embedding('amazon.titan-embed-text-v1');
+
+        const constructorCall = BedrockEmbeddingModelMock.mock.calls[0];
+        expect(constructorCall[0]).toBe('amazon.titan-embed-text-v1');
+        expect(constructorCall[1].headers).toEqual({
+          'Custom-Header': 'value',
+        });
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'test-api-key',
+          undefined,
+        );
+      });
+
+      it('should work with image models when using API key', () => {
+        const provider = createAmazonBedrock({
+          apiKey: 'test-api-key',
+          region: 'us-east-1',
+          headers: { 'Custom-Header': 'value' },
+        });
+
+        provider.image('amazon.titan-image-generator');
+
+        const constructorCall = BedrockImageModelMock.mock.calls[0];
+        expect(constructorCall[0]).toBe('amazon.titan-image-generator');
+        expect(constructorCall[1].headers).toEqual({
+          'Custom-Header': 'value',
+        });
+        expect(mockCreateApiKeyFetchFunction).toHaveBeenCalledWith(
+          'test-api-key',
+          undefined,
+        );
+      });
+
+      it('should maintain backward compatibility with existing SigV4 authentication', () => {
+        // Mock loadOptionalSetting to return undefined (no API key)
+        mockLoadOptionalSetting.mockImplementation(() => undefined);
+
+        const provider = createAmazonBedrock({
+          region: 'eu-west-1',
+          accessKeyId: 'test-access-key',
+          secretAccessKey: 'test-secret-key',
+          sessionToken: 'test-session-token',
+        });
+
+        provider('anthropic.claude-v2');
+
+        // Verify SigV4 is used when no API key is provided
+        expect(mockCreateSigV4FetchFunction).toHaveBeenCalled();
+        expect(mockCreateApiKeyFetchFunction).not.toHaveBeenCalled();
+
+        const constructorCall = BedrockChatLanguageModelMock.mock.calls[0];
+        expect(constructorCall[0]).toBe('anthropic.claude-v2');
+        expect(constructorCall[1].baseUrl()).toBe(
+          'https://bedrock-runtime.eu-west-1.amazonaws.com',
+        );
+      });
+
+      it('should work with credential provider when no API key is provided', () => {
+        // Mock loadOptionalSetting to return undefined (no API key)
+        mockLoadOptionalSetting.mockImplementation(() => undefined);
+
+        const mockCredentialProvider = vi.fn().mockResolvedValue({
+          accessKeyId: 'dynamic-access-key',
+          secretAccessKey: 'dynamic-secret-key',
+          sessionToken: 'dynamic-session-token',
+        });
+
+        const provider = createAmazonBedrock({
+          region: 'us-east-1',
+          credentialProvider: mockCredentialProvider,
+        });
+
+        provider('anthropic.claude-v2');
+
+        // Verify SigV4 is used with credential provider when no API key
+        expect(mockCreateSigV4FetchFunction).toHaveBeenCalled();
+        expect(mockCreateApiKeyFetchFunction).not.toHaveBeenCalled();
+      });
+    });
   });
 
   describe('provider methods', () => {
diff --git a/packages/amazon-bedrock/src/bedrock-provider.ts b/packages/amazon-bedrock/src/bedrock-provider.ts
index 18830ae188b8..2621647d5528 100644
--- a/packages/amazon-bedrock/src/bedrock-provider.ts
+++ b/packages/amazon-bedrock/src/bedrock-provider.ts
@@ -20,6 +20,7 @@ import { BedrockImageModelId } from './bedrock-image-settings';
 import {
   BedrockCredentials,
   createSigV4FetchFunction,
+  createApiKeyFetchFunction,
 } from './bedrock-sigv4-fetch';
 
 export interface AmazonBedrockProviderSettings {
@@ -29,6 +30,31 @@ The AWS region to use for the Bedrock provider. Defaults to the value of the
    */
   region?: string;
 
+  /**
+API key for authenticating requests using Bearer token authentication.
+When provided, this will be used instead of AWS SigV4 authentication.
+Defaults to the value of the `AWS_BEARER_TOKEN_BEDROCK` environment variable.
+
+@example
+```typescript
+// Using API key directly
+const bedrock = createAmazonBedrock({
+  apiKey: 'your-api-key-here',
+  region: 'us-east-1'
+});
+
+// Using environment variable AWS_BEARER_TOKEN_BEDROCK
+const bedrock = createAmazonBedrock({
+  region: 'us-east-1'
+});
+```
+
+Note: When `apiKey` is provided, it takes precedence over AWS SigV4 authentication.
+If neither `apiKey` nor `AWS_BEARER_TOKEN_BEDROCK` environment variable is set,
+the provider will fall back to AWS SigV4 authentication using AWS credentials.
+   */
+  apiKey?: string;
+
   /**
 The AWS access key ID to use for the Bedrock provider. Defaults to the value of the
 `AWS_ACCESS_KEY_ID` environment variable.
@@ -100,40 +126,99 @@ Create an Amazon Bedrock provider instance.
 export function createAmazonBedrock(
   options: AmazonBedrockProviderSettings = {},
 ): AmazonBedrockProvider {
-  const sigv4Fetch = createSigV4FetchFunction(async () => {
-    const region = loadSetting({
-      settingValue: options.region,
-      settingName: 'region',
-      environmentVariableName: 'AWS_REGION',
-      description: 'AWS region',
-    });
-    // If a credential provider is provided, use it to get the credentials.
-    if (options.credentialProvider) {
-      return {
-        ...(await options.credentialProvider()),
-        region,
-      };
-    }
-    return {
-      region,
-      accessKeyId: loadSetting({
-        settingValue: options.accessKeyId,
-        settingName: 'accessKeyId',
-        environmentVariableName: 'AWS_ACCESS_KEY_ID',
-        description: 'AWS access key ID',
-      }),
-      secretAccessKey: loadSetting({
-        settingValue: options.secretAccessKey,
-        settingName: 'secretAccessKey',
-        environmentVariableName: 'AWS_SECRET_ACCESS_KEY',
-        description: 'AWS secret access key',
-      }),
-      sessionToken: loadOptionalSetting({
-        settingValue: options.sessionToken,
-        environmentVariableName: 'AWS_SESSION_TOKEN',
-      }),
-    };
-  }, options.fetch);
+  // Check for API key authentication first
+  const rawApiKey = loadOptionalSetting({
+    settingValue: options.apiKey,
+    environmentVariableName: 'AWS_BEARER_TOKEN_BEDROCK',
+  });
+
+  // FIX 1: Validate API key to ensure proper fallback to SigV4
+  // Only use API key if it's a non-empty, non-whitespace string
+  const apiKey =
+    rawApiKey && rawApiKey.trim().length > 0 ? rawApiKey.trim() : undefined;
+
+  // Use API key authentication if available, otherwise fall back to SigV4
+  const fetchFunction = apiKey
+    ? createApiKeyFetchFunction(apiKey, options.fetch)
+    : createSigV4FetchFunction(async () => {
+        const region = loadSetting({
+          settingValue: options.region,
+          settingName: 'region',
+          environmentVariableName: 'AWS_REGION',
+          description: 'AWS region',
+        });
+
+        // If a credential provider is provided, use it to get the credentials.
+        if (options.credentialProvider) {
+          try {
+            return {
+              ...(await options.credentialProvider()),
+              region,
+            };
+          } catch (error) {
+            // FIX 2: Better error handling for credential provider failures
+            const errorMessage =
+              error instanceof Error ? error.message : String(error);
+            throw new Error(
+              `AWS credential provider failed: ${errorMessage}. ` +
+                'Please ensure your credential provider returns valid AWS credentials ' +
+                'with accessKeyId and secretAccessKey properties.',
+            );
+          }
+        }
+
+        // FIX 2: Enhanced error handling for SigV4 credential loading
+        try {
+          return {
+            region,
+            accessKeyId: loadSetting({
+              settingValue: options.accessKeyId,
+              settingName: 'accessKeyId',
+              environmentVariableName: 'AWS_ACCESS_KEY_ID',
+              description: 'AWS access key ID',
+            }),
+            secretAccessKey: loadSetting({
+              settingValue: options.secretAccessKey,
+              settingName: 'secretAccessKey',
+              environmentVariableName: 'AWS_SECRET_ACCESS_KEY',
+              description: 'AWS secret access key',
+            }),
+            sessionToken: loadOptionalSetting({
+              settingValue: options.sessionToken,
+              environmentVariableName: 'AWS_SESSION_TOKEN',
+            }),
+          };
+        } catch (error) {
+          // Provide helpful error message for missing AWS credentials
+          const errorMessage =
+            error instanceof Error ? error.message : String(error);
+          if (
+            errorMessage.includes('AWS_ACCESS_KEY_ID') ||
+            errorMessage.includes('accessKeyId')
+          ) {
+            throw new Error(
+              'AWS SigV4 authentication requires AWS credentials. Please provide either:\n' +
+                '1. Set AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables\n' +
+                '2. Provide accessKeyId and secretAccessKey in options\n' +
+                '3. Use a credentialProvider function\n' +
+                '4. Use API key authentication with AWS_BEARER_TOKEN_BEDROCK or apiKey option\n' +
+                `Original error: ${errorMessage}`,
+            );
+          }
+          if (
+            errorMessage.includes('AWS_SECRET_ACCESS_KEY') ||
+            errorMessage.includes('secretAccessKey')
+          ) {
+            throw new Error(
+              'AWS SigV4 authentication requires both AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. ' +
+                'Please ensure both credentials are provided.\n' +
+                `Original error: ${errorMessage}`,
+            );
+          }
+          // Re-throw other errors as-is
+          throw error;
+        }
+      }, options.fetch);
 
   const getBaseUrl = (): string =>
     withoutTrailingSlash(
@@ -150,7 +235,7 @@ export function createAmazonBedrock(
     new BedrockChatLanguageModel(modelId, {
       baseUrl: getBaseUrl,
       headers: options.headers ?? {},
-      fetch: sigv4Fetch,
+      fetch: fetchFunction,
       generateId,
     });
 
@@ -168,14 +253,14 @@ export function createAmazonBedrock(
     new BedrockEmbeddingModel(modelId, {
       baseUrl: getBaseUrl,
       headers: options.headers ?? {},
-      fetch: sigv4Fetch,
+      fetch: fetchFunction,
     });
 
   const createImageModel = (modelId: BedrockImageModelId) =>
     new BedrockImageModel(modelId, {
       baseUrl: getBaseUrl,
       headers: options.headers ?? {},
-      fetch: sigv4Fetch,
+      fetch: fetchFunction,
     });
 
   provider.languageModel = createChatModel;
diff --git a/packages/amazon-bedrock/src/bedrock-sigv4-fetch.test.ts b/packages/amazon-bedrock/src/bedrock-sigv4-fetch.test.ts
index 8fc07d8e1aad..b832d06109ac 100644
--- a/packages/amazon-bedrock/src/bedrock-sigv4-fetch.test.ts
+++ b/packages/amazon-bedrock/src/bedrock-sigv4-fetch.test.ts
@@ -1,4 +1,7 @@
-import { createSigV4FetchFunction } from './bedrock-sigv4-fetch';
+import {
+  createSigV4FetchFunction,
+  createApiKeyFetchFunction,
+} from './bedrock-sigv4-fetch';
 import { vi, describe, it, expect, afterEach } from 'vitest';
 
 // Mock AwsV4Signer so that no real crypto calls are made.
@@ -288,3 +291,285 @@ describe('createSigV4FetchFunction', () => {
     expect(dummyFetch).not.toHaveBeenCalled();
   });
 });
+
+describe('createApiKeyFetchFunction', () => {
+  afterEach(() => {
+    vi.restoreAllMocks();
+  });
+
+  it('should add Authorization header with Bearer token', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-123';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    const response = await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'content-type': 'application/json',
+        Authorization: 'Bearer test-api-key-123',
+      },
+    });
+    expect(response).toBe(dummyResponse);
+  });
+
+  it('should merge Authorization header with existing headers', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-456';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'Content-Type': 'application/json',
+        'Custom-Header': 'custom-value',
+        'X-Request-ID': 'req-123',
+      },
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'content-type': 'application/json',
+        'custom-header': 'custom-value',
+        'x-request-id': 'req-123',
+        Authorization: 'Bearer test-api-key-456',
+      },
+    });
+  });
+
+  it('should work with Headers instance', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-789';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    const headers = new Headers();
+    headers.set('Content-Type', 'application/json');
+    headers.set('X-Custom', 'value');
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers,
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'content-type': 'application/json',
+        'x-custom': 'value',
+        Authorization: 'Bearer test-api-key-789',
+      },
+    });
+  });
+
+  it('should work with headers as array', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-array';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    const headersArray: [string, string][] = [
+      ['Content-Type', 'application/json'],
+      ['X-Array-Header', 'array-value'],
+    ];
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: headersArray,
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'content-type': 'application/json',
+        'x-array-header': 'array-value',
+        Authorization: 'Bearer test-api-key-array',
+      },
+    });
+  });
+
+  it('should work with GET requests', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-get';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com', {
+      method: 'GET',
+      headers: {
+        Accept: 'application/json',
+      },
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'GET',
+      headers: {
+        accept: 'application/json',
+        Authorization: 'Bearer test-api-key-get',
+      },
+    });
+  });
+
+  it('should work when no headers are provided', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-no-headers';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        Authorization: 'Bearer test-api-key-no-headers',
+      },
+    });
+  });
+
+  it('should work when init is undefined', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-undefined';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com');
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      headers: {
+        Authorization: 'Bearer test-api-key-undefined',
+      },
+    });
+  });
+
+  it('should override existing Authorization header', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-override';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: 'Bearer old-token',
+      },
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        'content-type': 'application/json',
+        Authorization: 'Bearer test-api-key-override',
+        authorization: 'Bearer old-token',
+      },
+    });
+  });
+
+  it('should use default fetch when no custom fetch provided', async () => {
+    const originalFetch = globalThis.fetch;
+    const mockGlobalFetch = vi.fn().mockResolvedValue(new Response('OK'));
+    globalThis.fetch = mockGlobalFetch;
+
+    try {
+      const apiKey = 'test-api-key-default';
+      const fetchFn = createApiKeyFetchFunction(apiKey);
+
+      await fetchFn('http://example.com', {
+        method: 'POST',
+        body: '{"test": "data"}',
+      });
+
+      expect(mockGlobalFetch).toHaveBeenCalledWith('http://example.com', {
+        method: 'POST',
+        body: '{"test": "data"}',
+        headers: {
+          Authorization: 'Bearer test-api-key-default',
+        },
+      });
+    } finally {
+      globalThis.fetch = originalFetch;
+    }
+  });
+
+  it('should handle empty string API key', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = '';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    await fetchFn('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'POST',
+      body: '{"test": "data"}',
+      headers: {
+        Authorization: 'Bearer ',
+      },
+    });
+  });
+
+  it('should preserve request body and other properties', async () => {
+    const dummyResponse = new Response('OK', { status: 200 });
+    const dummyFetch = vi.fn().mockResolvedValue(dummyResponse);
+    const apiKey = 'test-api-key-preserve';
+
+    const fetchFn = createApiKeyFetchFunction(apiKey, dummyFetch);
+
+    const requestBody = JSON.stringify({ data: 'test' });
+    await fetchFn('http://example.com', {
+      method: 'PUT',
+      body: requestBody,
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      credentials: 'include',
+      cache: 'no-cache',
+    });
+
+    expect(dummyFetch).toHaveBeenCalledWith('http://example.com', {
+      method: 'PUT',
+      body: requestBody,
+      headers: {
+        'content-type': 'application/json',
+        Authorization: 'Bearer test-api-key-preserve',
+      },
+      credentials: 'include',
+      cache: 'no-cache',
+    });
+  });
+});
diff --git a/packages/amazon-bedrock/src/bedrock-sigv4-fetch.ts b/packages/amazon-bedrock/src/bedrock-sigv4-fetch.ts
index 0a2c857f43d5..9398345c96be 100644
--- a/packages/amazon-bedrock/src/bedrock-sigv4-fetch.ts
+++ b/packages/amazon-bedrock/src/bedrock-sigv4-fetch.ts
@@ -77,3 +77,31 @@ function prepareBodyString(body: BodyInit | undefined): string {
     return JSON.stringify(body);
   }
 }
+
+/**
+Creates a fetch function that applies Bearer token authentication.
+
+@param apiKey - The API key to use for Bearer token authentication.
+@param fetch - Optional original fetch implementation to wrap. Defaults to global fetch.
+@returns A FetchFunction that adds Authorization header with Bearer token to requests.
+ */
+export function createApiKeyFetchFunction(
+  apiKey: string,
+  fetch: FetchFunction = globalThis.fetch,
+): FetchFunction {
+  return async (
+    input: RequestInfo | URL,
+    init?: RequestInit,
+  ): Promise<Response> => {
+    const originalHeaders = extractHeaders(init?.headers);
+
+    return fetch(input, {
+      ...init,
+      headers: removeUndefinedEntries(
+        combineHeaders(originalHeaders, {
+          Authorization: `Bearer ${apiKey}`,
+        }),
+      ),
+    });
+  };
+}
diff --git a/packages/angular/CHANGELOG.md b/packages/angular/CHANGELOG.md
new file mode 100644
index 000000000000..fa25dff4bf6c
--- /dev/null
+++ b/packages/angular/CHANGELOG.md
@@ -0,0 +1,117 @@
+# @ai-sdk/angular
+
+## 1.0.0-beta.11
+
+### Patch Changes
+
+- ac34802: Add clear object function to React and Angular packages
+- Updated dependencies [ac34802]
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - ai@5.0.0-beta.28
+
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [57edfcb]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 1.0.0-beta.2
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 1.0.0-beta.1
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 1.0.0-beta.0
+
+### Major Changes
+
+- 654ff2b: Add Angular support
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
diff --git a/packages/angular/README.md b/packages/angular/README.md
new file mode 100644
index 000000000000..24606e6d1bbf
--- /dev/null
+++ b/packages/angular/README.md
@@ -0,0 +1,643 @@
+# AI SDK Angular
+
+Angular UI components for the [AI SDK v5](https://ai-sdk.dev/docs).
+
+## Overview
+
+The `@ai-sdk/angular` package provides Angular-specific implementations using Angular signals for reactive state management:
+
+- **Chat** - Multi-turn conversations with streaming responses
+- **Completion** - Single-turn text generation
+- **StructuredObject** - Type-safe object generation with Zod schemas
+
+## Installation
+
+```bash
+npm install @ai-sdk/angular ai
+```
+
+### Peer Dependencies
+
+- Angular 16+ (`@angular/core`)
+- Zod v3+ (optional, for structured objects)
+
+## Chat
+
+Real-time conversation interface with streaming support.
+
+### Basic Usage
+
+```typescript
+import { Component, inject } from '@angular/core';
+import { FormBuilder, ReactiveFormsModule, Validators } from '@angular/forms';
+import { Chat } from '@ai-sdk/angular';
+import { CommonModule } from '@angular/common';
+
+@Component({
+  selector: 'app-chat',
+  imports: [CommonModule, ReactiveFormsModule],
+  template: `
+    <div class="chat-container">
+      <div class="messages">
+        @for (message of chat.messages; track message.id) {
+          <div class="message" [ngClass]="message.role">
+            @for (part of message.parts; track $index) {
+              @switch (part.type) {
+                @case ('text') {
+                  <div style="white-space: pre-wrap">
+                    {{ part.text }}
+                    @if (part.state === 'streaming') {
+                      <span class="cursor">&#9646;</span>
+                    }
+                  </div>
+                }
+                @case ('reasoning') {
+                  <details>
+                    <summary>Reasoning</summary>
+                    <div style="white-space: pre-wrap; opacity: 80%">
+                      {{ part.text }}
+                    </div>
+                  </details>
+                }
+                @default {
+                  <code>{{ part | json }}</code>
+                }
+              }
+            }
+          </div>
+        }
+        @if (chat.status === 'submitted') {
+          <div><em>Waiting...</em></div>
+        }
+      </div>
+
+      <form [formGroup]="chatForm" (ngSubmit)="sendMessage()">
+        <input formControlName="userInput" placeholder="Type your message..." />
+        @if (chat.status === 'ready') {
+          <button type="submit" [disabled]="!chatForm.valid">Send</button>
+        } @else {
+          <button [disabled]="chat.status === 'error'" (click)="chat.stop()">
+            Stop
+          </button>
+        }
+      </form>
+    </div>
+  `,
+})
+export class ChatComponent {
+  private fb = inject(FormBuilder);
+
+  public chat = new Chat({});
+
+  chatForm = this.fb.group({
+    userInput: ['', Validators.required],
+  });
+
+  sendMessage() {
+    if (this.chatForm.invalid) return;
+
+    const userInput = this.chatForm.value.userInput;
+    this.chatForm.reset();
+
+    this.chat.sendMessage(
+      { text: userInput },
+      {
+        body: {
+          selectedModel: 'gpt-4o',
+        },
+      },
+    );
+  }
+}
+```
+
+### Constructor Options
+
+```typescript
+interface ChatInit<UI_MESSAGE extends UIMessage = UIMessage> {
+  /** Initial messages */
+  messages?: UI_MESSAGE[];
+
+  /** Custom ID generator */
+  generateId?: () => string;
+
+  /** Maximum conversation steps */
+  maxSteps?: number;
+
+  /** Tool call handler */
+  onToolCall?: (params: { toolCall: ToolCall }) => Promise<string>;
+
+  /** Completion callback */
+  onFinish?: (params: { message: UI_MESSAGE }) => void;
+
+  /** Error handler */
+  onError?: (error: Error) => void;
+
+  /** Custom transport */
+  transport?: ChatTransport;
+}
+```
+
+### Properties (Reactive)
+
+- `messages: UIMessage[]` - Array of conversation messages
+- `status: 'ready' | 'submitted' | 'streaming' | 'error'` - Current status
+- `error: Error | undefined` - Current error state
+
+### Methods
+
+```typescript
+// Send a message
+await chat.sendMessage(
+  message: UIMessageInput,
+  options?: {
+    body?: Record<string, any>;
+    headers?: Record<string, string>;
+  }
+);
+
+// Regenerate last assistant message
+await chat.regenerate(options?: {
+  body?: Record<string, any>;
+  headers?: Record<string, string>;
+});
+
+// Add tool execution result
+chat.addToolResult({
+  toolCallId: string;
+  output: string;
+});
+
+// Stop current generation
+chat.stop();
+```
+
+### File Attachments
+
+```typescript
+// HTML template
+<input type="file" multiple (change)="onFileSelect($event)" />
+
+// Component
+onFileSelect(event: Event) {
+  const files = (event.target as HTMLInputElement).files;
+  if (files) {
+    this.chat.sendMessage({
+      text: "Analyze these files",
+      files: files
+    });
+  }
+}
+```
+
+### Client-side Tool Calls
+
+```typescript
+const chat = new Chat({
+  async onToolCall({ toolCall }) {
+    switch (toolCall.toolName) {
+      case 'get_weather':
+        return await getWeather(toolCall.input.location);
+      case 'search':
+        return await search(toolCall.input.query);
+      default:
+        throw new Error(`Unknown tool: ${toolCall.toolName}`);
+    }
+  },
+});
+```
+
+## Completion
+
+Single-turn text generation with streaming.
+
+### Basic Usage
+
+```typescript
+import { Component } from '@angular/core';
+import { Completion } from '@ai-sdk/angular';
+
+@Component({
+  selector: 'app-completion',
+  template: `
+    <div>
+      <textarea
+        [(ngModel)]="completion.input"
+        placeholder="Enter your prompt..."
+        rows="4"
+      >
+      </textarea>
+
+      <button
+        (click)="completion.complete(completion.input)"
+        [disabled]="completion.loading"
+      >
+        {{ completion.loading ? 'Generating...' : 'Generate' }}
+      </button>
+
+      @if (completion.loading) {
+        <button (click)="completion.stop()">Stop</button>
+      }
+
+      <div class="result">
+        <h3>Result:</h3>
+        <pre>{{ completion.completion }}</pre>
+      </div>
+
+      @if (completion.error) {
+        <div class="error">{{ completion.error.message }}</div>
+      }
+    </div>
+  `,
+})
+export class CompletionComponent {
+  completion = new Completion({
+    api: '/api/completion',
+    onFinish: (prompt, completion) => {
+      console.log('Completed:', { prompt, completion });
+    },
+  });
+}
+```
+
+### Constructor Options
+
+```typescript
+interface CompletionOptions {
+  /** API endpoint (default: '/api/completion') */
+  api?: string;
+
+  /** Unique identifier */
+  id?: string;
+
+  /** Initial completion text */
+  initialCompletion?: string;
+
+  /** Initial input text */
+  initialInput?: string;
+
+  /** Stream protocol: 'data' (default) | 'text' */
+  streamProtocol?: 'data' | 'text';
+
+  /** Completion callback */
+  onFinish?: (prompt: string, completion: string) => void;
+
+  /** Error handler */
+  onError?: (error: Error) => void;
+
+  /** Custom fetch function */
+  fetch?: FetchFunction;
+
+  /** Request headers */
+  headers?: Record<string, string>;
+
+  /** Request body */
+  body?: Record<string, any>;
+
+  /** Request credentials */
+  credentials?: RequestCredentials;
+}
+```
+
+### Properties (Reactive)
+
+- `completion: string` - Generated text (writable)
+- `input: string` - Current input (writable)
+- `loading: boolean` - Generation state
+- `error: Error | undefined` - Error state
+- `id: string` - Completion ID
+- `api: string` - API endpoint
+- `streamProtocol: 'data' | 'text'` - Stream type
+
+### Methods
+
+```typescript
+// Generate completion
+await completion.complete(
+  prompt: string,
+  options?: {
+    headers?: Record<string, string>;
+    body?: Record<string, any>;
+  }
+);
+
+// Form submission handler
+await completion.handleSubmit(event?: { preventDefault?: () => void });
+
+// Stop generation
+completion.stop();
+```
+
+## StructuredObject
+
+Generate structured data with Zod schemas and streaming.
+
+### Basic Usage
+
+```typescript
+import { Component } from '@angular/core';
+import { StructuredObject } from '@ai-sdk/angular';
+import { z } from 'zod';
+
+const schema = z.object({
+  title: z.string(),
+  summary: z.string(),
+  tags: z.array(z.string()),
+  sentiment: z.enum(['positive', 'negative', 'neutral']),
+});
+
+@Component({
+  selector: 'app-structured-object',
+  template: `
+    <div>
+      <textarea
+        [(ngModel)]="input"
+        placeholder="Enter content to analyze..."
+        rows="4"
+      >
+      </textarea>
+
+      <button (click)="analyze()" [disabled]="structuredObject.loading">
+        {{ structuredObject.loading ? 'Analyzing...' : 'Analyze' }}
+      </button>
+
+      @if (structuredObject.object) {
+        <div class="result">
+          <h3>Analysis:</h3>
+          <div><strong>Title:</strong> {{ structuredObject.object.title }}</div>
+          <div>
+            <strong>Summary:</strong> {{ structuredObject.object.summary }}
+          </div>
+          <div>
+            <strong>Tags:</strong>
+            {{ structuredObject.object.tags?.join(', ') }}
+          </div>
+          <div>
+            <strong>Sentiment:</strong> {{ structuredObject.object.sentiment }}
+          </div>
+        </div>
+      }
+
+      @if (structuredObject.error) {
+        <div class="error">{{ structuredObject.error.message }}</div>
+      }
+    </div>
+  `,
+})
+export class StructuredObjectComponent {
+  input = '';
+
+  structuredObject = new StructuredObject({
+    api: '/api/analyze',
+    schema,
+    onFinish: ({ object, error }) => {
+      if (error) {
+        console.error('Schema validation failed:', error);
+      } else {
+        console.log('Generated object:', object);
+      }
+    },
+  });
+
+  async analyze() {
+    if (!this.input.trim()) return;
+    await this.structuredObject.submit(this.input);
+  }
+}
+```
+
+### Constructor Options
+
+```typescript
+interface StructuredObjectOptions<SCHEMA, RESULT> {
+  /** API endpoint */
+  api: string;
+
+  /** Zod schema */
+  schema: SCHEMA;
+
+  /** Unique identifier */
+  id?: string;
+
+  /** Initial object value */
+  initialValue?: DeepPartial<RESULT>;
+
+  /** Completion callback */
+  onFinish?: (event: {
+    object: RESULT | undefined;
+    error: Error | undefined;
+  }) => void;
+
+  /** Error handler */
+  onError?: (error: Error) => void;
+
+  /** Custom fetch function */
+  fetch?: FetchFunction;
+
+  /** Request headers */
+  headers?: Record<string, string>;
+
+  /** Request credentials */
+  credentials?: RequestCredentials;
+}
+```
+
+### Properties (Reactive)
+
+- `object: DeepPartial<RESULT> | undefined` - Generated object
+- `loading: boolean` - Generation state
+- `error: Error | undefined` - Error state
+
+### Methods
+
+```typescript
+// Submit input for generation
+await structuredObject.submit(input: unknown);
+
+// Stop generation
+structuredObject.stop();
+```
+
+## Server Implementation
+
+### Express.js Chat Endpoint
+
+```typescript
+import { openai } from '@ai-sdk/openai';
+import { convertToModelMessages, streamText } from 'ai';
+import express from 'express';
+
+const app = express();
+app.use(express.json());
+
+app.post('/api/chat', async (req, res) => {
+  const { messages, selectedModel } = req.body;
+
+  const result = streamText({
+    model: openai(selectedModel || 'gpt-4o'),
+    messages: convertToModelMessages(messages),
+  });
+
+  result.pipeUIMessageStreamToResponse(res);
+});
+```
+
+### Express.js Completion Endpoint
+
+```typescript
+app.post('/api/completion', async (req, res) => {
+  const { prompt } = req.body;
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    prompt,
+  });
+
+  result.pipeTextStreamToResponse(res);
+});
+```
+
+### Express.js Structured Object Endpoint
+
+```typescript
+import { streamObject } from 'ai';
+import { z } from 'zod';
+
+app.post('/api/analyze', async (req, res) => {
+  const input = req.body;
+
+  const result = streamObject({
+    model: openai('gpt-4o'),
+    schema: z.object({
+      title: z.string(),
+      summary: z.string(),
+      tags: z.array(z.string()),
+      sentiment: z.enum(['positive', 'negative', 'neutral']),
+    }),
+    prompt: `Analyze this content: ${JSON.stringify(input)}`,
+  });
+
+  result.pipeTextStreamToResponse(res);
+});
+```
+
+## Development Setup
+
+### Building the Library
+
+```bash
+# Install dependencies
+pnpm install
+
+# Build library
+pnpm build
+
+# Watch mode
+pnpm build:watch
+
+# Run tests
+pnpm test
+
+# Test watch mode
+pnpm test:watch
+```
+
+### Running the Example
+
+```bash
+# Navigate to example
+cd examples/angular-chat
+
+# Set up environment
+echo "OPENAI_API_KEY=your_key_here" > .env
+
+# Start development (Angular + Express)
+pnpm start
+```
+
+Starts:
+
+- Angular dev server: `http://localhost:4200`
+- Express API server: `http://localhost:3000`
+- Proxy routes `/api/*` to Express
+
+## Testing
+
+### Running Tests
+
+```bash
+pnpm test              # Run all tests
+pnpm test:watch        # Watch mode
+pnpm test:update       # Update snapshots
+```
+
+## TypeScript Support
+
+Full type safety with automatic type inference:
+
+```typescript
+import { Chat, UIMessage, StructuredObject } from '@ai-sdk/angular';
+import { z } from 'zod';
+
+// Custom message types
+interface CustomMessage extends UIMessage {
+  customData?: string;
+}
+
+const chat = new Chat<CustomMessage>({});
+
+// Schema-typed objects
+const schema = z.object({
+  name: z.string(),
+  age: z.number(),
+});
+
+const obj = new StructuredObject({
+  api: '/api/object',
+  schema, // Type automatically inferred
+});
+
+// obj.object has type: { name?: string; age?: number } | undefined
+```
+
+## Error Handling
+
+All components provide reactive error states:
+
+```typescript
+const chat = new Chat({
+  onError: (error) => {
+    console.error('Chat error:', error);
+  }
+});
+
+// Template
+@if (chat.error) {
+  <div class="error">{{ chat.error.message }}</div>
+}
+```
+
+## Performance
+
+### Stop on-going requests
+
+```typescript
+chat.stop();
+completion.stop();
+structuredObject.stop();
+```
+
+### Change Detection
+
+Uses Angular signals for efficient reactivity:
+
+```typescript
+// These trigger minimal change detection
+chat.messages; // Signal<UIMessage[]>
+chat.status; // Signal<ChatStatus>
+chat.error; // Signal<Error | undefined>
+```
+
+## License
+
+Apache-2.0
diff --git a/packages/angular/package.json b/packages/angular/package.json
new file mode 100644
index 000000000000..220539d58cf1
--- /dev/null
+++ b/packages/angular/package.json
@@ -0,0 +1,53 @@
+{
+  "name": "@ai-sdk/angular",
+  "version": "1.0.0-beta.11",
+  "description": "Angular implementation of ai-sdk.",
+  "license": "Apache-2.0",
+  "main": "dist/index.cjs",
+  "module": "dist/index.mjs",
+  "types": "dist/index.d.ts",
+  "scripts": {
+    "build": "pnpm clean && tsup --tsconfig tsconfig.build.json",
+    "build:watch": "pnpm clean && tsup --tsconfig tsconfig.build.json --watch",
+    "clean": "rm -rf dist *.tsbuildinfo",
+    "lint": "eslint \"./**/*.ts*\"",
+    "type-check": "tsc --build",
+    "prettier-check": "prettier --check \"./**/*.ts*\"",
+    "test": "vitest --config vitest.config.ts --run",
+    "test:update": "vitest --config vitest.config.ts --run -u",
+    "test:watch": "vitest --config vitest.config.ts"
+  },
+  "exports": {
+    "./package.json": "./package.json",
+    ".": {
+      "types": "./dist/index.d.ts",
+      "import": "./dist/index.mjs",
+      "require": "./dist/index.js"
+    }
+  },
+  "files": [
+    "dist/**/*",
+    "CHANGELOG.md"
+  ],
+  "dependencies": {
+    "@ai-sdk/provider-utils": "workspace:*",
+    "ai": "workspace:*"
+  },
+  "devDependencies": {
+    "@types/node": "20.17.24",
+    "@vercel/ai-tsconfig": "workspace:*",
+    "eslint": "8.57.1",
+    "eslint-config-vercel-ai": "workspace:*",
+    "jsdom": "^24.0.0",
+    "tsup": "^7.2.0",
+    "typescript": "5.8.3",
+    "vitest": "^3.0.0"
+  },
+  "peerDependencies": {
+    "@angular/core": ">=16.0.0",
+    "zod": "^3.25.76 || ^4"
+  },
+  "engines": {
+    "node": ">=18"
+  }
+}
diff --git a/packages/angular/src/index.ts b/packages/angular/src/index.ts
new file mode 100644
index 000000000000..e1f2a72ab9e2
--- /dev/null
+++ b/packages/angular/src/index.ts
@@ -0,0 +1,6 @@
+export { Chat } from './lib/chat.ng';
+export { Completion, type CompletionOptions } from './lib/completion.ng';
+export {
+  StructuredObject,
+  type StructuredObjectOptions,
+} from './lib/structured-object.ng';
diff --git a/packages/angular/src/lib/chat.ng.test.ts b/packages/angular/src/lib/chat.ng.test.ts
new file mode 100644
index 000000000000..6de3b96a3f15
--- /dev/null
+++ b/packages/angular/src/lib/chat.ng.test.ts
@@ -0,0 +1,1266 @@
+import {
+  createTestServer,
+  mockId,
+  TestResponseController,
+} from '@ai-sdk/provider-utils/test';
+import {
+  DefaultChatTransport,
+  isToolUIPart,
+  TextStreamChatTransport,
+} from 'ai';
+import { Chat } from './chat.ng';
+
+function formatStreamPart(part: object) {
+  return `data: ${JSON.stringify(part)}\n\n`;
+}
+
+function createFileList(...files: File[]): FileList {
+  // file lists are really hard to create :(
+  const input = document.createElement('input');
+  input.setAttribute('type', 'file');
+  input.setAttribute('name', 'file-upload');
+  input.multiple = true;
+  const fileList: FileList = Object.create(input.files);
+  for (let i = 0; i < files.length; i++) {
+    fileList[i] = files[i];
+  }
+  Object.defineProperty(fileList, 'length', { value: files.length });
+  return fileList;
+}
+
+const server = createTestServer({
+  '/api/chat': {},
+});
+
+describe('data protocol stream', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should correctly manage streamed response in messages', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({ type: 'text-start', id: '0' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+        formatStreamPart({ type: 'text-end', id: '0' }),
+      ],
+    };
+
+    await chat.sendMessage({
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+    expect(chat.messages.at(0)).toStrictEqual(
+      expect.objectContaining({
+        role: 'user',
+        parts: [{ text: 'hi', type: 'text' }],
+      }),
+    );
+
+    expect(chat.messages.at(1)).toStrictEqual(
+      expect.objectContaining({
+        role: 'assistant',
+        parts: [{ type: 'text', text: 'Hello, world.', state: 'done' }],
+      }),
+    );
+  });
+
+  it('should show error response when there is a server error', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'error',
+      status: 404,
+      body: 'Not found',
+    };
+
+    await chat.sendMessage({
+      text: 'hi',
+    });
+    expect(chat.error).toBeInstanceOf(Error);
+    expect(chat.error?.message).toBe('Not found');
+  });
+
+  it('should show error response when there is a streaming error', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'error',
+          errorText: 'custom error message',
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+    expect(chat.error).toBeInstanceOf(Error);
+    expect(chat.error?.message).toBe('custom error message');
+  });
+
+  describe('status', () => {
+    it('should show status', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/chat'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      const appendOperation = chat.sendMessage({
+        role: 'user',
+        parts: [{ text: 'hi', type: 'text' }],
+      });
+      await vi.waitFor(() => expect(chat.status).toBe('submitted'));
+      controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+      controller.write(
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+      );
+      controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+      await vi.waitFor(() => expect(chat.status).toBe('streaming'));
+      controller.close();
+      await appendOperation;
+      expect(chat.status).toBe('ready');
+    });
+
+    it('should set status to error when there is a server error', async () => {
+      server.urls['/api/chat'].response = {
+        type: 'error',
+        status: 404,
+        body: 'Not found',
+      };
+
+      chat.sendMessage({
+        role: 'user',
+        parts: [{ text: 'hi', type: 'text' }],
+      });
+      await vi.waitFor(() => expect(chat.status).toBe('error'));
+    });
+  });
+
+  it('should invoke onFinish when the stream finishes', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({ type: 'text-start', id: '0' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatStreamPart({
+          type: 'finish',
+          messageMetadata: {
+            example: 'metadata',
+          },
+        }),
+      ],
+    };
+
+    const onFinish = vi.fn();
+    const chatWithOnFinish = new Chat({
+      onFinish,
+      generateId: mockId(),
+    });
+    await chatWithOnFinish.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(onFinish).toHaveBeenCalledExactlyOnceWith({
+      message: {
+        id: 'id-2',
+        metadata: {
+          example: 'metadata',
+        },
+        parts: [
+          {
+            text: 'Hello, world.',
+            type: 'text',
+            state: 'done',
+          },
+        ],
+        role: 'assistant',
+      },
+    });
+  });
+
+  describe('id', () => {
+    it('should send the id to the server', async () => {
+      server.urls['/api/chat'].response = {
+        type: 'stream-chunks',
+        chunks: ['0:"Hello"\n', '0:","\n', '0:" world"\n', '0:"."\n'],
+      };
+
+      await chat.sendMessage({
+        role: 'user',
+        parts: [{ text: 'hi', type: 'text' }],
+      });
+
+      expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "id": "id-0",
+          "messages": [
+            {
+              "id": "id-1",
+              "parts": [
+                {
+                  "text": "hi",
+                  "type": "text",
+                },
+              ],
+              "role": "user",
+            },
+          ],
+          "trigger": "submit-message",
+        }
+      `);
+    });
+  });
+});
+
+describe('text stream', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    const generateId = mockId();
+
+    chat = new Chat({
+      generateId,
+      transport: new TextStreamChatTransport({
+        api: '/api/chat',
+      }),
+    });
+  });
+
+  it('should show streamed response', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: ['Hello', ',', ' world', '.'],
+    };
+
+    await chat.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(chat.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "id-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "text": "hi",
+              "type": "text",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "id-2",
+          "metadata": undefined,
+          "parts": [
+            {
+              "type": "step-start",
+            },
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Hello, world.",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+  });
+
+  it('should have stable message ids', async () => {
+    const controller = new TestResponseController();
+    server.urls['/api/chat'].response = {
+      type: 'controlled-stream',
+      controller,
+    };
+
+    const appendOperation = chat.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+    controller.write('He');
+
+    await vi.waitFor(() =>
+      expect(chat.messages.at(1)).toStrictEqual(
+        expect.objectContaining({
+          id: expect.any(String),
+          role: 'assistant',
+          metadata: undefined,
+          parts: [
+            { type: 'step-start' },
+            { text: 'He', type: 'text', state: 'streaming' },
+          ],
+        }),
+      ),
+    );
+    const id = chat.messages.at(1)?.id;
+
+    controller.write('llo');
+    controller.close();
+    await appendOperation;
+
+    expect(id).toBeDefined();
+    expect(chat.messages.at(1)).toStrictEqual(
+      expect.objectContaining({
+        id,
+        role: 'assistant',
+      }),
+    );
+  });
+
+  it('should invoke onFinish when the stream finishes', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: ['Hello', ',', ' world', '.'],
+    };
+
+    const onFinish = vi.fn();
+    const chatWithOnFinish = new Chat({
+      onFinish,
+      transport: new TextStreamChatTransport({
+        api: '/api/chat',
+      }),
+    });
+    await chatWithOnFinish.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(onFinish).toHaveBeenCalledExactlyOnceWith({
+      message: {
+        id: expect.any(String),
+        role: 'assistant',
+        metadata: undefined,
+        parts: [
+          { type: 'step-start' },
+          { text: 'Hello, world.', type: 'text', state: 'done' },
+        ],
+      },
+    });
+  });
+});
+
+describe('onToolCall', () => {
+  let resolve: () => void;
+  let toolCallPromise: Promise<void>;
+  let chat: Chat;
+
+  function promiseWithResolvers<T>() {
+    let resolve!: (v: T | PromiseLike<T>) => void;
+    let reject!: (reason?: unknown) => void;
+
+    const promise = new Promise<T>((res, rej) => {
+      resolve = res;
+      reject = rej;
+    });
+
+    return { promise, resolve, reject };
+  }
+
+  beforeEach(() => {
+    ({ resolve, promise: toolCallPromise } = promiseWithResolvers<void>());
+
+    chat = new Chat({
+      async onToolCall({ toolCall }) {
+        await toolCallPromise;
+        chat.addToolResult({
+          tool: 'test-tool',
+          toolCallId: toolCall.toolCallId,
+          output: `test-tool-response: ${toolCall.toolName} ${
+            toolCall.toolCallId
+          } ${JSON.stringify(toolCall.input)}`,
+        });
+      },
+    });
+  });
+
+  it("should invoke onToolCall when a tool call is received from the server's response", async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'tool-input-available',
+          toolCallId: 'tool-call-0',
+          toolName: 'test-tool',
+          input: { testArg: 'test-value' },
+        }),
+      ],
+    };
+
+    const appendOperation = chat.sendMessage({ text: 'hi' });
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-available',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    resolve();
+    await appendOperation;
+
+    expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+      {
+        state: 'output-available',
+        errorText: undefined,
+        toolCallId: 'tool-call-0',
+        type: 'tool-test-tool',
+        input: { testArg: 'test-value' },
+        output:
+          'test-tool-response: test-tool tool-call-0 {"testArg":"test-value"}',
+        providerExecuted: undefined,
+      },
+    ]);
+  });
+});
+
+describe('tool invocations', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    const generateId = mockId();
+    chat = new Chat({
+      generateId,
+      transport: new DefaultChatTransport({
+        api: '/api/chat',
+      }),
+    });
+  });
+
+  it('should display partial tool call, tool call, and tool result', async () => {
+    const controller = new TestResponseController();
+    server.urls['/api/chat'].response = {
+      type: 'controlled-stream',
+      controller,
+    };
+
+    const appendOperation = chat.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-input-start',
+        toolCallId: 'tool-call-0',
+        toolName: 'test-tool',
+      }),
+    );
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-streaming',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: undefined,
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-input-delta',
+        toolCallId: 'tool-call-0',
+        inputTextDelta: '{"testArg":"t',
+      }),
+    );
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-streaming',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 't' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-input-delta',
+        toolCallId: 'tool-call-0',
+        inputTextDelta: 'est-value"}}',
+      }),
+    );
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-streaming',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-input-available',
+        toolCallId: 'tool-call-0',
+        toolName: 'test-tool',
+        input: { testArg: 'test-value' },
+      }),
+    );
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-available',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-output-available',
+        toolCallId: 'tool-call-0',
+        output: 'test-result',
+      }),
+    );
+    controller.close();
+    await appendOperation;
+
+    expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+      {
+        state: 'output-available',
+        errorText: undefined,
+        toolCallId: 'tool-call-0',
+        type: 'tool-test-tool',
+        input: { testArg: 'test-value' },
+        output: 'test-result',
+        providerExecuted: undefined,
+      },
+    ]);
+  });
+
+  it('should display partial tool call and tool result (when there is no tool call streaming)', async () => {
+    const controller = new TestResponseController();
+    server.urls['/api/chat'].response = {
+      type: 'controlled-stream',
+      controller,
+    };
+
+    const appendOperation = chat.sendMessage({ text: 'hi' });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-input-available',
+        toolCallId: 'tool-call-0',
+        toolName: 'test-tool',
+        input: { testArg: 'test-value' },
+      }),
+    );
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-available',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    controller.write(
+      formatStreamPart({
+        type: 'tool-output-available',
+        toolCallId: 'tool-call-0',
+        output: 'test-result',
+      }),
+    );
+    controller.close();
+
+    await appendOperation;
+
+    expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+      {
+        state: 'output-available',
+        errorText: undefined,
+        toolCallId: 'tool-call-0',
+        type: 'tool-test-tool',
+        input: { testArg: 'test-value' },
+        output: 'test-result',
+        providerExecuted: undefined,
+      },
+    ]);
+  });
+
+  it('should update tool call to result when addToolResult is called', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'tool-input-available',
+          toolCallId: 'tool-call-0',
+          toolName: 'test-tool',
+          input: { testArg: 'test-value' },
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      text: 'hi',
+    });
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'input-available',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: undefined,
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+
+    chat.addToolResult({
+      tool: 'test-tool',
+      toolCallId: 'tool-call-0',
+      output: 'test-result',
+    });
+
+    await vi.waitFor(() => {
+      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
+        {
+          state: 'output-available',
+          errorText: undefined,
+          toolCallId: 'tool-call-0',
+          type: 'tool-test-tool',
+          input: { testArg: 'test-value' },
+          output: 'test-result',
+          providerExecuted: undefined,
+        },
+      ]);
+    });
+  });
+});
+
+describe('file attachments with data url', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should handle text file attachment and submission', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'text-start',
+          id: '0',
+        }),
+        formatStreamPart({
+          type: 'text-delta',
+          id: '0',
+          delta: 'Response to message with text attachment',
+        }),
+        formatStreamPart({
+          type: 'text-end',
+          id: '0',
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      text: 'Message with text attachment',
+      files: createFileList(
+        new File(['test file content'], 'test.txt', {
+          type: 'text/plain',
+        }),
+      ),
+    });
+
+    expect(chat.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "id-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "filename": "test.txt",
+              "mediaType": "text/plain",
+              "type": "file",
+              "url": "data:text/plain;base64,dGVzdCBmaWxlIGNvbnRlbnQ=",
+            },
+            {
+              "text": "Message with text attachment",
+              "type": "text",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "id-2",
+          "metadata": undefined,
+          "parts": [
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Response to message with text attachment",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "parts": [
+              {
+                "filename": "test.txt",
+                "mediaType": "text/plain",
+                "type": "file",
+                "url": "data:text/plain;base64,dGVzdCBmaWxlIGNvbnRlbnQ=",
+              },
+              {
+                "text": "Message with text attachment",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "trigger": "submit-message",
+      }
+    `);
+  });
+
+  it('should handle image file attachment and submission', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'text-start',
+          id: '0',
+        }),
+        formatStreamPart({
+          type: 'text-delta',
+          id: '0',
+          delta: 'Response to message with image attachment',
+        }),
+        formatStreamPart({
+          type: 'text-end',
+          id: '0',
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      text: 'Message with image attachment',
+      files: createFileList(
+        new File(['test image content'], 'test.png', {
+          type: 'image/png',
+        }),
+      ),
+    });
+
+    expect(chat.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "id-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "filename": "test.png",
+              "mediaType": "image/png",
+              "type": "file",
+              "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+            },
+            {
+              "text": "Message with image attachment",
+              "type": "text",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "id-2",
+          "metadata": undefined,
+          "parts": [
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Response to message with image attachment",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "parts": [
+              {
+                "filename": "test.png",
+                "mediaType": "image/png",
+                "type": "file",
+                "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+              },
+              {
+                "text": "Message with image attachment",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "trigger": "submit-message",
+      }
+    `);
+  });
+});
+
+describe('file attachments with url', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should handle image file attachment and submission', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'text-start',
+          id: '0',
+        }),
+        formatStreamPart({
+          type: 'text-delta',
+          id: '0',
+          delta: 'Response to message with image attachment',
+        }),
+        formatStreamPart({
+          type: 'text-end',
+          id: '0',
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      text: 'Message with image attachment',
+      files: createFileList(
+        new File(['test image content'], 'test.png', {
+          type: 'image/png',
+        }),
+      ),
+    });
+
+    expect(chat.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "id-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "filename": "test.png",
+              "mediaType": "image/png",
+              "type": "file",
+              "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+            },
+            {
+              "text": "Message with image attachment",
+              "type": "text",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "id-2",
+          "metadata": undefined,
+          "parts": [
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Response to message with image attachment",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "parts": [
+              {
+                "filename": "test.png",
+                "mediaType": "image/png",
+                "type": "file",
+                "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+              },
+              {
+                "text": "Message with image attachment",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "trigger": "submit-message",
+      }
+    `);
+  });
+});
+
+describe('file attachments with empty text content', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should handle image file attachment and submission', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({
+          type: 'text-start',
+          id: '0',
+        }),
+        formatStreamPart({
+          type: 'text-delta',
+          id: '0',
+          delta: 'Response to message with image attachment',
+        }),
+        formatStreamPart({
+          type: 'text-end',
+          id: '0',
+        }),
+      ],
+    };
+
+    await chat.sendMessage({
+      files: createFileList(
+        new File(['test image content'], 'test.png', {
+          type: 'image/png',
+        }),
+      ),
+    });
+
+    expect(chat.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "id-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "filename": "test.png",
+              "mediaType": "image/png",
+              "type": "file",
+              "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "id-2",
+          "metadata": undefined,
+          "parts": [
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Response to message with image attachment",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "parts": [
+              {
+                "filename": "test.png",
+                "mediaType": "image/png",
+                "type": "file",
+                "url": "data:image/png;base64,dGVzdCBpbWFnZSBjb250ZW50",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "trigger": "submit-message",
+      }
+    `);
+  });
+});
+
+describe('reload', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should show streamed response', async () => {
+    server.urls['/api/chat'].response = [
+      {
+        type: 'stream-chunks',
+        chunks: [
+          formatStreamPart({ type: 'text-start', id: '0' }),
+          formatStreamPart({
+            type: 'text-delta',
+            id: '0',
+            delta: 'first response',
+          }),
+          formatStreamPart({ type: 'text-end', id: '0' }),
+        ],
+      },
+      {
+        type: 'stream-chunks',
+        chunks: [
+          formatStreamPart({ type: 'text-start', id: '0' }),
+          formatStreamPart({
+            type: 'text-delta',
+            id: '0',
+            delta: 'second response',
+          }),
+          formatStreamPart({ type: 'text-end', id: '0' }),
+        ],
+      },
+    ];
+
+    await chat.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(chat.messages.at(0)).toStrictEqual(
+      expect.objectContaining({
+        role: 'user',
+      }),
+    );
+
+    expect(chat.messages.at(1)).toStrictEqual(
+      expect.objectContaining({
+        role: 'assistant',
+        parts: [{ text: 'first response', type: 'text', state: 'done' }],
+      }),
+    );
+
+    // Setup done, call regenerate:
+    await chat.regenerate({
+      body: { 'request-body-key': 'request-body-value' },
+      headers: { 'header-key': 'header-value' },
+    });
+
+    expect(await server.calls[1].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "parts": [
+              {
+                "text": "hi",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "request-body-key": "request-body-value",
+        "trigger": "regenerate-message",
+      }
+    `);
+
+    expect(server.calls[1].requestHeaders).toStrictEqual({
+      'content-type': 'application/json',
+      'header-key': 'header-value',
+    });
+
+    expect(chat.messages.at(1)).toStrictEqual(
+      expect.objectContaining({
+        role: 'assistant',
+        parts: [{ text: 'second response', type: 'text', state: 'done' }],
+      }),
+    );
+  });
+});
+
+describe('test sending additional fields during message submission', () => {
+  let chat: Chat;
+
+  beforeEach(() => {
+    chat = new Chat({
+      generateId: mockId(),
+    });
+  });
+
+  it('should send metadata with the message', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: ['0:"first response"\n'],
+    };
+
+    await chat.sendMessage({
+      role: 'user',
+      metadata: { test: 'example' },
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(chat.messages.at(0)).toStrictEqual(
+      expect.objectContaining({
+        role: 'user',
+      }),
+    );
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "id": "id-0",
+        "messages": [
+          {
+            "id": "id-1",
+            "metadata": {
+              "test": "example",
+            },
+            "parts": [
+              {
+                "text": "hi",
+                "type": "text",
+              },
+            ],
+            "role": "user",
+          },
+        ],
+        "trigger": "submit-message",
+      }
+    `);
+  });
+});
+
+describe('generateId function', () => {
+  it('should use the provided generateId function for both user and assistant messages', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({ type: 'start', messageId: '123' }),
+        formatStreamPart({ type: 'text-start', id: '0' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+        formatStreamPart({ type: 'text-end', id: '0' }),
+      ],
+    };
+
+    const chatWithCustomId = new Chat({
+      generateId: mockId({ prefix: 'testid' }),
+    });
+
+    await chatWithCustomId.sendMessage({
+      role: 'user',
+      parts: [{ text: 'hi', type: 'text' }],
+    });
+
+    expect(chatWithCustomId.messages).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "testid-1",
+          "metadata": undefined,
+          "parts": [
+            {
+              "text": "hi",
+              "type": "text",
+            },
+          ],
+          "role": "user",
+        },
+        {
+          "id": "123",
+          "metadata": undefined,
+          "parts": [
+            {
+              "providerMetadata": undefined,
+              "state": "done",
+              "text": "Hello, world.",
+              "type": "text",
+            },
+          ],
+          "role": "assistant",
+        },
+      ]
+    `);
+  });
+});
diff --git a/packages/angular/src/lib/chat.ng.ts b/packages/angular/src/lib/chat.ng.ts
new file mode 100644
index 000000000000..4bff20fbaaf3
--- /dev/null
+++ b/packages/angular/src/lib/chat.ng.ts
@@ -0,0 +1,77 @@
+import { signal } from '@angular/core';
+import {
+  type ChatState,
+  type ChatStatus,
+  type UIMessage,
+  type ChatInit,
+  AbstractChat,
+} from 'ai';
+
+export class Chat<
+  UI_MESSAGE extends UIMessage = UIMessage,
+> extends AbstractChat<UI_MESSAGE> {
+  constructor(init: ChatInit<UI_MESSAGE>) {
+    super({
+      ...init,
+      state: new AngularChatState(init.messages),
+    });
+  }
+}
+
+class AngularChatState<UI_MESSAGE extends UIMessage = UIMessage>
+  implements ChatState<UI_MESSAGE>
+{
+  readonly #messages = signal<UI_MESSAGE[]>([]);
+  readonly #status = signal<ChatStatus>('ready');
+  readonly #error = signal<Error | undefined>(undefined);
+
+  get messages(): UI_MESSAGE[] {
+    return this.#messages();
+  }
+
+  set messages(messages: UI_MESSAGE[]) {
+    this.#messages.set([...messages]);
+  }
+
+  get status(): ChatStatus {
+    return this.#status();
+  }
+
+  set status(status: ChatStatus) {
+    this.#status.set(status);
+  }
+
+  get error(): Error | undefined {
+    return this.#error();
+  }
+
+  set error(error: Error | undefined) {
+    this.#error.set(error);
+  }
+
+  constructor(initialMessages: UI_MESSAGE[] = []) {
+    this.#messages.set([...initialMessages]);
+  }
+
+  setMessages = (messages: UI_MESSAGE[]) => {
+    this.#messages.set([...messages]);
+  };
+
+  pushMessage = (message: UI_MESSAGE) => {
+    this.#messages.update(msgs => [...msgs, message]);
+  };
+
+  popMessage = () => {
+    this.#messages.update(msgs => msgs.slice(0, -1));
+  };
+
+  replaceMessage = (index: number, message: UI_MESSAGE) => {
+    this.#messages.update(msgs => {
+      const copy = [...msgs];
+      copy[index] = message;
+      return copy;
+    });
+  };
+
+  snapshot = <T>(thing: T): T => structuredClone(thing);
+}
diff --git a/packages/angular/src/lib/completion.ng.test.ts b/packages/angular/src/lib/completion.ng.test.ts
new file mode 100644
index 000000000000..04867c801bb3
--- /dev/null
+++ b/packages/angular/src/lib/completion.ng.test.ts
@@ -0,0 +1,169 @@
+import {
+  createTestServer,
+  TestResponseController,
+} from '@ai-sdk/provider-utils/test';
+import { Completion } from './completion.ng';
+import { beforeAll } from 'vitest';
+
+function formatStreamPart(part: object) {
+  return `data: ${JSON.stringify(part)}\n\n`;
+}
+
+const server = createTestServer({
+  '/api/completion': {},
+});
+
+describe('Completion', () => {
+  beforeAll(() => {
+    createTestServer({});
+  });
+
+  it('initialises', () => {
+    const completion = new Completion();
+    expect(completion.api).toBe('/api/completion');
+    expect(completion.completion).toBe('');
+    expect(completion.input).toBe('');
+    expect(completion.error).toBeUndefined();
+    expect(completion.loading).toBe(false);
+    expect(completion.id).toBeDefined();
+  });
+
+  it('should render a data stream', async () => {
+    server.urls['/api/completion'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({ type: 'text-start', id: '0' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+        formatStreamPart({ type: 'text-end', id: '0' }),
+      ],
+    };
+    const completion = new Completion({
+      api: '/api/completion',
+    });
+    await completion.complete('hi');
+    expect(completion.completion).toBe('Hello, world.');
+  });
+
+  it('should render a text stream', async () => {
+    server.urls['/api/completion'].response = {
+      type: 'stream-chunks',
+      chunks: ['Hello', ',', ' world', '.'],
+    };
+
+    const completion = new Completion({ streamProtocol: 'text' });
+    await completion.complete('hi');
+    expect(completion.completion).toBe('Hello, world.');
+  });
+
+  it('should call `onFinish` callback', async () => {
+    server.urls['/api/completion'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatStreamPart({ type: 'text-start', id: '0' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+        formatStreamPart({ type: 'text-end', id: '0' }),
+      ],
+    };
+
+    const onFinish = vi.fn();
+    const completion = new Completion({ onFinish });
+    await completion.complete('hi');
+    expect(onFinish).toHaveBeenCalledExactlyOnceWith('hi', 'Hello, world.');
+  });
+
+  it('should show loading state', async () => {
+    const controller = new TestResponseController();
+    server.urls['/api/completion'].response = {
+      type: 'controlled-stream',
+      controller,
+    };
+
+    const completion = new Completion();
+    const completionOperation = completion.complete('hi');
+    controller.write('0:"Hello"\n');
+    await vi.waitFor(() => expect(completion.loading).toBe(true));
+    controller.close();
+    await completionOperation;
+    expect(completion.loading).toBe(false);
+  });
+
+  describe('stop', () => {
+    it('should abort the stream and not consume any more data', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/completion'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      const completion = new Completion();
+      const completionOperation = completion.complete('hi');
+      controller.write(
+        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+      );
+
+      await vi.waitFor(() => {
+        expect(completion.loading).toBe(true);
+        expect(completion.completion).toBe('Hello');
+      });
+
+      completion.stop();
+
+      await vi.waitFor(() => expect(completion.loading).toBe(false));
+
+      await expect(controller.write('0:", world"\n')).rejects.toThrow();
+      await expect(controller.close()).rejects.toThrow();
+      await completionOperation;
+
+      expect(completion.loading).toBe(false);
+      expect(completion.completion).toBe('Hello');
+    });
+  });
+
+  it('should reset loading state on error', async () => {
+    server.urls['/api/completion'].response = {
+      type: 'error',
+      status: 404,
+      body: 'Not found',
+    };
+
+    const completion = new Completion();
+    await completion.complete('hi');
+    expect(completion.error).toBeInstanceOf(Error);
+    expect(completion.loading).toBe(false);
+  });
+
+  it('should reset error state on subsequent completion', async () => {
+    server.urls['/api/completion'].response = [
+      {
+        type: 'error',
+        status: 404,
+        body: 'Not found',
+      },
+      {
+        type: 'stream-chunks',
+        chunks: [
+          formatStreamPart({ type: 'text-start', id: '0' }),
+          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+          formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
+          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+          formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+          formatStreamPart({ type: 'text-end', id: '0' }),
+        ],
+      },
+    ];
+
+    const completion = new Completion();
+    await completion.complete('hi');
+    expect(completion.error).toBeInstanceOf(Error);
+    expect(completion.loading).toBe(false);
+    await completion.complete('hi');
+    expect(completion.error).toBe(undefined);
+    expect(completion.completion).toBe('Hello, world.');
+  });
+});
diff --git a/packages/angular/src/lib/completion.ng.ts b/packages/angular/src/lib/completion.ng.ts
new file mode 100644
index 000000000000..5b6c31f2d188
--- /dev/null
+++ b/packages/angular/src/lib/completion.ng.ts
@@ -0,0 +1,117 @@
+import { signal } from '@angular/core';
+import {
+  callCompletionApi,
+  generateId,
+  type CompletionRequestOptions,
+  type UseCompletionOptions,
+} from 'ai';
+
+export type CompletionOptions = Readonly<UseCompletionOptions>;
+
+export class Completion {
+  readonly #options: CompletionOptions;
+
+  // Static config
+  readonly id: string;
+  readonly api: string;
+  readonly streamProtocol: 'data' | 'text';
+
+  // Reactive state
+  readonly #input = signal('');
+  readonly #completion = signal<string>('');
+  readonly #error = signal<Error | undefined>(undefined);
+  readonly #loading = signal<boolean>(false);
+
+  #abortController: AbortController | null = null;
+
+  constructor(options: CompletionOptions = {}) {
+    this.#options = options;
+    this.#completion.set(options.initialCompletion ?? '');
+    this.#input.set(options.initialInput ?? '');
+    this.api = options.api ?? '/api/completion';
+    this.id = options.id ?? generateId();
+    this.streamProtocol = options.streamProtocol ?? 'data';
+  }
+
+  /** Current value of the completion. Writable. */
+  get completion(): string {
+    return this.#completion();
+  }
+  set completion(value: string) {
+    this.#completion.set(value);
+  }
+
+  /** Current value of the input. Writable. */
+  get input(): string {
+    return this.#input();
+  }
+  set input(value: string) {
+    this.#input.set(value);
+  }
+
+  /** The error object of the API request */
+  get error(): Error | undefined {
+    return this.#error();
+  }
+
+  /** Flag that indicates whether an API request is in progress. */
+  get loading(): boolean {
+    return this.#loading();
+  }
+
+  /** Abort the current request immediately, keep the generated tokens if any. */
+  stop = () => {
+    try {
+      this.#abortController?.abort();
+    } catch {
+      // ignore
+    } finally {
+      this.#loading.set(false);
+      this.#abortController = null;
+    }
+  };
+
+  /** Send a new prompt to the API endpoint and update the completion state. */
+  complete = async (prompt: string, options?: CompletionRequestOptions) =>
+    this.#triggerRequest(prompt, options);
+
+  /** Form submission handler to automatically reset input and call the completion API */
+  handleSubmit = async (event?: { preventDefault?: () => void }) => {
+    event?.preventDefault?.();
+    if (this.#input()) {
+      await this.complete(this.#input());
+    }
+  };
+
+  #triggerRequest = async (
+    prompt: string,
+    options?: CompletionRequestOptions,
+  ) => {
+    return callCompletionApi({
+      api: this.api,
+      prompt,
+      credentials: this.#options.credentials,
+      headers: { ...this.#options.headers, ...options?.headers },
+      body: {
+        ...this.#options.body,
+        ...options?.body,
+      },
+      streamProtocol: this.streamProtocol,
+      fetch: this.#options.fetch,
+      setCompletion: (completion: string) => {
+        this.#completion.set(completion);
+      },
+      setLoading: (loading: boolean) => {
+        this.#loading.set(loading);
+      },
+      setError: (error: any) => {
+        this.#error.set(error);
+      },
+      setAbortController: abortController => {
+        this.#abortController = abortController ?? null;
+      },
+      onFinish: this.#options.onFinish,
+      onError: this.#options.onError,
+    });
+  };
+}
diff --git a/packages/angular/src/lib/structured-object.ng.test.ts b/packages/angular/src/lib/structured-object.ng.test.ts
new file mode 100644
index 000000000000..678ada90feab
--- /dev/null
+++ b/packages/angular/src/lib/structured-object.ng.test.ts
@@ -0,0 +1,254 @@
+import {
+  createTestServer,
+  TestResponseController,
+} from '@ai-sdk/provider-utils/test';
+import { z } from 'zod/v4';
+import { StructuredObject } from './structured-object.ng';
+
+const server = createTestServer({
+  '/api/object': {},
+});
+
+describe('text stream', () => {
+  const schema = z.object({ content: z.string() });
+  let structuredObject: StructuredObject<typeof schema>;
+
+  beforeEach(() => {
+    structuredObject = new StructuredObject({
+      api: '/api/object',
+      schema,
+    });
+  });
+
+  describe('when the API returns "Hello, world!"', () => {
+    beforeEach(async () => {
+      server.urls['/api/object'].response = {
+        type: 'stream-chunks',
+        chunks: ['{ ', '"content": "Hello, ', 'world', '!"', ' }'],
+      };
+      await structuredObject.submit('test-input');
+    });
+
+    it('should render the stream', () => {
+      expect(structuredObject.object).toEqual({ content: 'Hello, world!' });
+    });
+
+    it('should send the correct input to the API', async () => {
+      expect(await server.calls[0].requestBodyJson).toBe('test-input');
+    });
+
+    it('should not have an error', () => {
+      expect(structuredObject.error).toBeUndefined();
+    });
+  });
+
+  describe('loading', () => {
+    it('should be true while loading', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/object'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      controller.write('{"content": ');
+      const submitOperation = structuredObject.submit('test-input');
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(true);
+      });
+
+      controller.write('"Hello, world!"}');
+      controller.close();
+      await submitOperation;
+
+      expect(structuredObject.loading).toBe(false);
+    });
+  });
+
+  describe('stop', () => {
+    it('should abort the stream and not consume any more data', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/object'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      controller.write('{"content": "h');
+      const submitOperation = structuredObject.submit('test-input');
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(true);
+        expect(structuredObject.object).toStrictEqual({
+          content: 'h',
+        });
+      });
+
+      structuredObject.stop();
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(false);
+      });
+
+      await expect(controller.write('ello, world!"}')).rejects.toThrow();
+      await expect(controller.close()).rejects.toThrow();
+      await submitOperation;
+
+      expect(structuredObject.loading).toBe(false);
+      expect(structuredObject.object).toStrictEqual({
+        content: 'h',
+      });
+    });
+
+    it('should stop and clear the object state after a call to submit then clear', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/object'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      controller.write('{"content": "h');
+      const submitOperation = structuredObject.submit('test-input');
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(true);
+        expect(structuredObject.object).toStrictEqual({
+          content: 'h',
+        });
+      });
+
+      structuredObject.clear();
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(false);
+      });
+
+      await expect(controller.write('ello, world!"}')).rejects.toThrow();
+      await expect(controller.close()).rejects.toThrow();
+      await submitOperation;
+
+      expect(structuredObject.loading).toBe(false);
+      expect(structuredObject.error).toBeUndefined();
+      expect(structuredObject.object).toBeUndefined();
+    });
+  });
+
+  describe('when the API returns a 404', () => {
+    it('should produce the correct error state', async () => {
+      server.urls['/api/object'].response = {
+        type: 'error',
+        status: 404,
+        body: 'Not found',
+      };
+
+      await structuredObject.submit('test-input');
+      expect(structuredObject.error).toBeInstanceOf(Error);
+      expect(structuredObject.error?.message).toBe('Not found');
+      expect(structuredObject.loading).toBe(false);
+    });
+  });
+
+  describe('onFinish', () => {
+    it('should be called with an object when the stream finishes and the object matches the schema', async () => {
+      server.urls['/api/object'].response = {
+        type: 'stream-chunks',
+        chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+      };
+
+      const onFinish = vi.fn();
+      const structuredObjectWithOnFinish = new StructuredObject({
+        api: '/api/object',
+        schema: z.object({ content: z.string() }),
+        onFinish,
+      });
+      await structuredObjectWithOnFinish.submit('test-input');
+
+      expect(onFinish).toHaveBeenCalledExactlyOnceWith({
+        object: { content: 'Hello, world!' },
+        error: undefined,
+      });
+    });
+
+    it('should be called with an error when the stream finishes and the object does not match the schema', async () => {
+      server.urls['/api/object'].response = {
+        type: 'stream-chunks',
+        chunks: ['{ ', '"content-wrong": "Hello, ', 'world', '!"', '}'],
+      };
+
+      const onFinish = vi.fn();
+      const structuredObjectWithOnFinish = new StructuredObject({
+        api: '/api/object',
+        schema: z.object({ content: z.string() }),
+        onFinish,
+      });
+      await structuredObjectWithOnFinish.submit('test-input');
+
+      expect(onFinish).toHaveBeenCalledExactlyOnceWith({
+        object: undefined,
+        error: expect.any(Error),
+      });
+    });
+  });
+
+  it('should send custom headers', async () => {
+    server.urls['/api/object'].response = {
+      type: 'stream-chunks',
+      chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+    };
+
+    const structuredObjectWithCustomHeaders = new StructuredObject({
+      api: '/api/object',
+      schema: z.object({ content: z.string() }),
+      headers: {
+        Authorization: 'Bearer TEST_TOKEN',
+        'X-Custom-Header': 'CustomValue',
+      },
+    });
+
+    await structuredObjectWithCustomHeaders.submit('test-input');
+
+    expect(server.calls[0].requestHeaders).toStrictEqual({
+      'content-type': 'application/json',
+      authorization: 'Bearer TEST_TOKEN',
+      'x-custom-header': 'CustomValue',
+    });
+  });
+
+  it('should send custom credentials', async () => {
+    server.urls['/api/object'].response = {
+      type: 'stream-chunks',
+      chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+    };
+
+    const structuredObjectWithCustomCredentials = new StructuredObject({
+      api: '/api/object',
+      schema: z.object({ content: z.string() }),
+      credentials: 'include',
+    });
+
+    await structuredObjectWithCustomCredentials.submit('test-input');
+
+    expect(server.calls[0].requestCredentials).toBe('include');
+  });
+
+  it('should clear the object state after a call to clear', async () => {
+    server.urls['/api/object'].response = {
+      type: 'stream-chunks',
+      chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+    };
+
+    const structuredObjectWithOnFinish = new StructuredObject({
+      api: '/api/object',
+      schema: z.object({ content: z.string() }),
+    });
+
+    await structuredObjectWithOnFinish.submit('test-input');
+
+    expect(structuredObjectWithOnFinish.object).toBeDefined();
+
+    structuredObjectWithOnFinish.clear();
+
+    expect(structuredObjectWithOnFinish.object).toBeUndefined();
+    expect(structuredObjectWithOnFinish.error).toBeUndefined();
+    expect(structuredObjectWithOnFinish.loading).toBe(false);
+  });
+});
diff --git a/packages/angular/src/lib/structured-object.ng.ts b/packages/angular/src/lib/structured-object.ng.ts
new file mode 100644
index 000000000000..959a2b19959a
--- /dev/null
+++ b/packages/angular/src/lib/structured-object.ng.ts
@@ -0,0 +1,244 @@
+import {
+  generateId,
+  isAbortError,
+  safeValidateTypes,
+  type FetchFunction,
+  type InferSchema,
+} from '@ai-sdk/provider-utils';
+import { signal } from '@angular/core';
+import {
+  asSchema,
+  isDeepEqualData,
+  parsePartialJson,
+  type DeepPartial,
+  type Schema,
+} from 'ai';
+import type * as z3 from 'zod/v3';
+import type * as z4 from 'zod/v4';
+
+export type StructuredObjectOptions<
+  SCHEMA extends z3.Schema | z4.core.$ZodType | Schema,
+  RESULT = InferSchema<SCHEMA>,
+> = {
+  /**
+   * The API endpoint. It should stream JSON that matches the schema as chunked text.
+   */
+  api: string;
+
+  /**
+   * A Zod schema that defines the shape of the complete object.
+   */
+  schema: SCHEMA;
+
+  /**
+   * A unique identifier. If not provided, a random one will be
+   * generated. When provided, the `useObject` hook with the same `id` will
+   * have shared states across components.
+   */
+  id?: string;
+
+  /**
+   * An optional value for the initial object.
+   */
+  initialValue?: DeepPartial<RESULT>;
+
+  /**
+   * Custom fetch implementation. You can use it as a middleware to intercept requests,
+   * or to provide a custom fetch implementation for e.g. testing.
+   */
+  fetch?: FetchFunction;
+
+  /**
+   * Callback that is called when the stream has finished.
+   */
+  onFinish?: (event: {
+    /**
+     * The generated object (typed according to the schema).
+     * Can be undefined if the final object does not match the schema.
+     */
+    object: RESULT | undefined;
+
+    /**
+     * Optional error object. This is e.g. a TypeValidationError when the final object does not match the schema.
+     */
+    error: Error | undefined;
+  }) => Promise<void> | void;
+
+  /**
+   * Callback function to be called when an error is encountered.
+   */
+  onError?: (error: Error) => void;
+
+  /**
+   * Additional HTTP headers to be included in the request.
+   */
+  headers?: Record<string, string> | Headers;
+
+  /**
+   * The credentials mode to be used for the fetch request.
+   * Possible values are: 'omit', 'same-origin', 'include'.
+   * Defaults to 'same-origin'.
+   */
+  credentials?: RequestCredentials;
+};
+
+export class StructuredObject<
+  SCHEMA extends z3.Schema | z4.core.$ZodType | Schema,
+  RESULT = InferSchema<SCHEMA>,
+  INPUT = unknown,
+> {
+  readonly options: StructuredObjectOptions<SCHEMA, RESULT>;
+  readonly id: string;
+  #abortController: AbortController | undefined;
+
+  // Reactive state
+  readonly #object = signal<DeepPartial<RESULT> | undefined>(undefined);
+  readonly #loading = signal<boolean>(false);
+  readonly #error = signal<Error | undefined>(undefined);
+
+  /**
+   * The current value for the generated object. Updated as the API streams JSON chunks.
+   */
+  get object(): DeepPartial<RESULT> | undefined {
+    return this.#object();
+  }
+
+  /** The error object of the API request */
+  get error(): Error | undefined {
+    return this.#error();
+  }
+
+  /**
+   * Flag that indicates whether an API request is in progress.
+   */
+  get loading(): boolean {
+    return this.#loading();
+  }
+
+  constructor(options: StructuredObjectOptions<SCHEMA, RESULT>) {
+    this.options = options;
+    this.id = options.id ?? generateId();
+    this.#object.set(options.initialValue);
+  }
+
+  /**
+   * Abort the current request immediately, keep the current partial object if any.
+   */
+  stop = () => {
+    try {
+      this.#abortController?.abort();
+    } catch {
+      // ignore
+    } finally {
+      this.#loading.set(false);
+      this.#abortController = undefined;
+    }
+  };
+
+  /**
+   * Calls the API with the provided input as JSON body.
+   */
+  submit = async (input: INPUT) => {
+    try {
+      this.#clearObject();
+
+      this.#loading.set(true);
+
+      const abortController = new AbortController();
+      this.#abortController = abortController;
+
+      const actualFetch = this.options.fetch ?? fetch;
+      const response = await actualFetch(this.options.api, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          ...this.options.headers,
+        },
+        credentials: this.options.credentials,
+        signal: abortController.signal,
+        body: JSON.stringify(input),
+      });
+
+      if (!response.ok) {
+        throw new Error(
+          (await response.text()) ?? 'Failed to fetch the response.',
+        );
+      }
+
+      if (response.body == null) {
+        throw new Error('The response body is empty.');
+      }
+
+      let accumulatedText = '';
+      let latestObject: DeepPartial<RESULT> | undefined = undefined;
+
+      await response.body.pipeThrough(new TextDecoderStream()).pipeTo(
+        new WritableStream<string>({
+          write: async chunk => {
+            if (abortController?.signal.aborted) {
+              throw new DOMException('Stream aborted', 'AbortError');
+            }
+            accumulatedText += chunk;
+
+            const { value } = await parsePartialJson(accumulatedText);
+            const currentObject = value as DeepPartial<RESULT>;
+
+            if (!isDeepEqualData(latestObject, currentObject)) {
+              latestObject = currentObject;
+
+              this.#object.set(currentObject);
+            }
+          },
+
+          close: async () => {
+            this.#loading.set(false);
+            this.#abortController = undefined;
+
+            if (this.options.onFinish != null) {
+              const validationResult = await safeValidateTypes({
+                value: latestObject,
+                schema: asSchema(this.options.schema),
+              });
+
+              if (validationResult.success) {
+                this.options.onFinish({
+                  object: validationResult.value,
+                  error: undefined,
+                });
+              } else {
+                this.options.onFinish({
+                  object: undefined,
+                  error: (validationResult as { error: Error }).error,
+                });
+              }
+            }
+          },
+        }),
+      );
+    } catch (error) {
+      if (isAbortError(error)) {
+        return;
+      }
+
+      const coalescedError =
+        error instanceof Error ? error : new Error(String(error));
+      if (this.options.onError) {
+        this.options.onError(coalescedError);
+      }
+
+      this.#loading.set(false);
+      this.#error.set(coalescedError);
+    }
+  };
+
+  clear = () => {
+    this.stop();
+    this.#clearObject();
+  };
+
+  #clearObject = () => {
+    this.#object.set(undefined);
+    this.#error.set(undefined);
+    this.#loading.set(false);
+  };
+}
diff --git a/packages/angular/tsconfig.build.json b/packages/angular/tsconfig.build.json
new file mode 100644
index 000000000000..8181e407dd6d
--- /dev/null
+++ b/packages/angular/tsconfig.build.json
@@ -0,0 +1,7 @@
+{
+  "extends": "./tsconfig.json",
+  "compilerOptions": {
+    // Disable project configuration for tsup builds
+    "composite": false
+  }
+}
diff --git a/packages/angular/tsconfig.json b/packages/angular/tsconfig.json
new file mode 100644
index 000000000000..92afe3dbaa49
--- /dev/null
+++ b/packages/angular/tsconfig.json
@@ -0,0 +1,24 @@
+{
+  "extends": "./node_modules/@vercel/ai-tsconfig/ts-library.json",
+  "compilerOptions": {
+    "composite": true,
+    "declaration": true,
+    "declarationMap": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "types": ["vitest/globals"]
+  },
+  "include": ["src/**/*.ts"],
+  "exclude": ["dist", "node_modules"],
+  "references": [
+    {
+      "path": "../provider-utils"
+    },
+    {
+      "path": "../ai"
+    }
+  ]
+}
diff --git a/packages/angular/tsup.config.ts b/packages/angular/tsup.config.ts
new file mode 100644
index 000000000000..90cccebfe8b8
--- /dev/null
+++ b/packages/angular/tsup.config.ts
@@ -0,0 +1,12 @@
+import { defineConfig } from 'tsup';
+
+export default defineConfig({
+  entry: ['src/index.ts'],
+  dts: true,
+  format: ['esm', 'cjs'],
+  outDir: 'dist',
+  sourcemap: true,
+  clean: true,
+  target: 'es2022',
+  // external: [/node_modules/] // you can list external deps here if needed
+});
diff --git a/packages/angular/vitest.config.ts b/packages/angular/vitest.config.ts
new file mode 100644
index 000000000000..d29da0363f59
--- /dev/null
+++ b/packages/angular/vitest.config.ts
@@ -0,0 +1,9 @@
+import { defineConfig } from 'vitest/config';
+
+export default defineConfig({
+  test: {
+    globals: true,
+    environment: 'jsdom',
+    include: ['src/lib/**/*.test.ts'],
+  },
+});
diff --git a/packages/anthropic/CHANGELOG.md b/packages/anthropic/CHANGELOG.md
index 9d476bd6588b..9bd76c9a1dbe 100644
--- a/packages/anthropic/CHANGELOG.md
+++ b/packages/anthropic/CHANGELOG.md
@@ -1,5 +1,50 @@
 # @ai-sdk/anthropic
 
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- 4f26d59: feat(provider/anthropic): add disable parallel tool use option
+- a753b3a: feat (provider/anthropic): cache control for tools
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- b9ddcdd: feat(anthropic): add text_editor_20250429 tool for Claude 4 models
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- fdff8a4: fix(provider/anthropic): correct Claude 4 model ID format
+- 84577c8: fix (providers/anthropic): remove fine grained tool streaming beta
+
 ## 2.0.0-beta.3
 
 ### Patch Changes
diff --git a/packages/anthropic/package.json b/packages/anthropic/package.json
index 0dfbbfa76790..70aa0149a04c 100644
--- a/packages/anthropic/package.json
+++ b/packages/anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/anthropic",
-  "version": "2.0.0-beta.3",
+  "version": "2.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -47,10 +47,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/anthropic/src/__snapshots__/anthropic-messages-language-model.test.ts.snap b/packages/anthropic/src/__snapshots__/anthropic-messages-language-model.test.ts.snap
index 9dc13fc5ef60..72b1a563d17c 100644
--- a/packages/anthropic/src/__snapshots__/anthropic-messages-language-model.test.ts.snap
+++ b/packages/anthropic/src/__snapshots__/anthropic-messages-language-model.test.ts.snap
@@ -1,6 +1,6 @@
 // Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
 
-exports[`AnthropicMessagesLanguageModel > raw chunks > web search > should stream sources and tool calls 1`] = `
+exports[`AnthropicMessagesLanguageModel > doStream > raw chunks > web search > should stream sources and tool calls 1`] = `
 [
   {
     "type": "stream-start",
@@ -312,6 +312,13 @@ Market Performance:",
     "providerMetadata": {
       "anthropic": {
         "cacheCreationInputTokens": 0,
+        "usage": {
+          "cache_creation_input_tokens": 0,
+          "cache_read_input_tokens": 0,
+          "input_tokens": 2688,
+          "output_tokens": 2,
+          "service_tier": "standard",
+        },
       },
     },
     "type": "finish",
diff --git a/packages/anthropic/src/anthropic-api-types.ts b/packages/anthropic/src/anthropic-api-types.ts
index fc4f8e10176e..d872bc17c096 100644
--- a/packages/anthropic/src/anthropic-api-types.ts
+++ b/packages/anthropic/src/anthropic-api-types.ts
@@ -7,7 +7,9 @@ export type AnthropicMessagesPrompt = {
 
 export type AnthropicMessage = AnthropicUserMessage | AnthropicAssistantMessage;
 
-export type AnthropicCacheControl = { type: 'ephemeral' };
+export type AnthropicCacheControl = {
+  type: 'ephemeral';
+};
 
 export interface AnthropicUserMessage {
   role: 'user';
@@ -123,6 +125,7 @@ export type AnthropicTool =
       name: string;
       description: string | undefined;
       input_schema: JSONSchema7;
+      cache_control: AnthropicCacheControl | undefined;
     }
   | {
       name: string;
@@ -133,7 +136,10 @@ export type AnthropicTool =
     }
   | {
       name: string;
-      type: 'text_editor_20250124' | 'text_editor_20241022';
+      type:
+        | 'text_editor_20250124'
+        | 'text_editor_20241022'
+        | 'text_editor_20250429';
     }
   | {
       name: string;
@@ -155,5 +161,5 @@ export type AnthropicTool =
     };
 
 export type AnthropicToolChoice =
-  | { type: 'auto' | 'any' }
-  | { type: 'tool'; name: string };
+  | { type: 'auto' | 'any'; disable_parallel_tool_use?: boolean }
+  | { type: 'tool'; name: string; disable_parallel_tool_use?: boolean };
diff --git a/packages/anthropic/src/anthropic-error.test.ts b/packages/anthropic/src/anthropic-error.test.ts
new file mode 100644
index 000000000000..563c1fc8c088
--- /dev/null
+++ b/packages/anthropic/src/anthropic-error.test.ts
@@ -0,0 +1,29 @@
+import { anthropicErrorDataSchema } from './anthropic-error';
+
+describe('anthropicError', () => {
+  describe('anthropicErrorDataSchema', () => {
+    it('should parse overloaded error', async () => {
+      const result = anthropicErrorDataSchema.safeParse({
+        type: 'error',
+        error: {
+          details: null,
+          type: 'overloaded_error',
+          message: 'Overloaded',
+        },
+      });
+
+      expect(result).toMatchInlineSnapshot(`
+        {
+          "data": {
+            "error": {
+              "message": "Overloaded",
+              "type": "overloaded_error",
+            },
+            "type": "error",
+          },
+          "success": true,
+        }
+      `);
+    });
+  });
+});
diff --git a/packages/anthropic/src/anthropic-error.ts b/packages/anthropic/src/anthropic-error.ts
index 1e223b384b15..300f7714aaf1 100644
--- a/packages/anthropic/src/anthropic-error.ts
+++ b/packages/anthropic/src/anthropic-error.ts
@@ -1,7 +1,7 @@
 import { createJsonErrorResponseHandler } from '@ai-sdk/provider-utils';
 import { z } from 'zod/v4';
 
-const anthropicErrorDataSchema = z.object({
+export const anthropicErrorDataSchema = z.object({
   type: z.literal('error'),
   error: z.object({
     type: z.string(),
diff --git a/packages/anthropic/src/anthropic-messages-language-model.test.ts b/packages/anthropic/src/anthropic-messages-language-model.test.ts
index 2943610cd78a..937b9ef14d47 100644
--- a/packages/anthropic/src/anthropic-messages-language-model.test.ts
+++ b/packages/anthropic/src/anthropic-messages-language-model.test.ts
@@ -1,6 +1,7 @@
 import {
   LanguageModelV2Prompt,
   LanguageModelV2StreamPart,
+  JSONValue,
 } from '@ai-sdk/provider';
 import {
   convertReadableStreamToArray,
@@ -10,7 +11,6 @@ import {
 import { AnthropicProviderOptions } from './anthropic-messages-options';
 import { createAnthropic } from './anthropic-provider';
 import { type DocumentCitation } from './anthropic-messages-language-model';
-import { APICallError } from '@ai-sdk/provider';
 
 const TEST_PROMPT: LanguageModelV2Prompt = [
   { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
@@ -45,7 +45,7 @@ describe('AnthropicMessagesLanguageModel', () => {
         | { type: 'thinking'; thinking: string; signature: string }
         | { type: 'tool_use'; id: string; name: string; input: unknown }
       >;
-      usage?: {
+      usage?: Record<string, JSONValue> & {
         input_tokens: number;
         output_tokens: number;
         cache_creation_input_tokens?: number;
@@ -470,6 +470,39 @@ describe('AnthropicMessagesLanguageModel', () => {
       });
     });
 
+    it('should pass disableParallelToolUse', async () => {
+      prepareJsonResponse({});
+
+      await model.doGenerate({
+        tools: [
+          {
+            type: 'function',
+            name: 'test-tool',
+            inputSchema: {
+              type: 'object',
+              properties: { value: { type: 'string' } },
+              required: ['value'],
+              additionalProperties: false,
+              $schema: 'http://json-schema.org/draft-07/schema#',
+            },
+          },
+        ],
+        prompt: TEST_PROMPT,
+        providerOptions: {
+          anthropic: {
+            disableParallelToolUse: true,
+          },
+        },
+      });
+
+      expect(await server.calls[0].requestBodyJson).toMatchObject({
+        tool_choice: {
+          type: 'auto',
+          disable_parallel_tool_use: true,
+        },
+      });
+    });
+
     it('should pass headers', async () => {
       prepareJsonResponse({ content: [] });
 
@@ -489,7 +522,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       expect(server.calls[0].requestHeaders).toMatchInlineSnapshot(`
         {
-          "anthropic-beta": "fine-grained-tool-streaming-2025-05-14",
           "anthropic-version": "2023-06-01",
           "content-type": "application/json",
           "custom-provider-header": "provider-header-value",
@@ -554,6 +586,12 @@ describe('AnthropicMessagesLanguageModel', () => {
           "providerMetadata": {
             "anthropic": {
               "cacheCreationInputTokens": 10,
+              "usage": {
+                "cache_creation_input_tokens": 10,
+                "cache_read_input_tokens": 5,
+                "input_tokens": 20,
+                "output_tokens": 50,
+              },
             },
           },
           "request": {
@@ -622,6 +660,151 @@ describe('AnthropicMessagesLanguageModel', () => {
       `);
     });
 
+    it('should support cache control and return extra fields in provider metadata', async () => {
+      prepareJsonResponse({
+        usage: {
+          input_tokens: 20,
+          output_tokens: 50,
+          cache_creation_input_tokens: 10,
+          cache_read_input_tokens: 5,
+          cache_creation: {
+            ephemeral_5m_input_tokens: 0,
+            ephemeral_1h_input_tokens: 10,
+          },
+        },
+      });
+
+      const model = provider('claude-3-haiku-20240307');
+
+      const result = await model.doGenerate({
+        headers: {
+          'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+        },
+        prompt: [
+          {
+            role: 'user',
+            content: [{ type: 'text', text: 'Hello' }],
+            providerOptions: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral', ttl: '1h' },
+              },
+            },
+          },
+        ],
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        model: 'claude-3-haiku-20240307',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              {
+                type: 'text',
+                text: 'Hello',
+                cache_control: { type: 'ephemeral', ttl: '1h' },
+              },
+            ],
+          },
+        ],
+        max_tokens: 4096,
+      });
+
+      expect(result).toMatchInlineSnapshot(`
+        {
+          "content": [
+            {
+              "text": "",
+              "type": "text",
+            },
+          ],
+          "finishReason": "stop",
+          "providerMetadata": {
+            "anthropic": {
+              "cacheCreationInputTokens": 10,
+              "usage": {
+                "cache_creation": {
+                  "ephemeral_1h_input_tokens": 10,
+                  "ephemeral_5m_input_tokens": 0,
+                },
+                "cache_creation_input_tokens": 10,
+                "cache_read_input_tokens": 5,
+                "input_tokens": 20,
+                "output_tokens": 50,
+              },
+            },
+          },
+          "request": {
+            "body": {
+              "max_tokens": 4096,
+              "messages": [
+                {
+                  "content": [
+                    {
+                      "cache_control": {
+                        "ttl": "1h",
+                        "type": "ephemeral",
+                      },
+                      "text": "Hello",
+                      "type": "text",
+                    },
+                  ],
+                  "role": "user",
+                },
+              ],
+              "model": "claude-3-haiku-20240307",
+              "stop_sequences": undefined,
+              "system": undefined,
+              "temperature": undefined,
+              "tool_choice": undefined,
+              "tools": undefined,
+              "top_k": undefined,
+              "top_p": undefined,
+            },
+          },
+          "response": {
+            "body": {
+              "content": [
+                {
+                  "text": "",
+                  "type": "text",
+                },
+              ],
+              "id": "msg_017TfcQ4AgGxKyBduUpqYPZn",
+              "model": "claude-3-haiku-20240307",
+              "role": "assistant",
+              "stop_reason": "end_turn",
+              "stop_sequence": null,
+              "type": "message",
+              "usage": {
+                "cache_creation": {
+                  "ephemeral_1h_input_tokens": 10,
+                  "ephemeral_5m_input_tokens": 0,
+                },
+                "cache_creation_input_tokens": 10,
+                "cache_read_input_tokens": 5,
+                "input_tokens": 20,
+                "output_tokens": 50,
+              },
+            },
+            "headers": {
+              "content-length": "379",
+              "content-type": "application/json",
+            },
+            "id": "msg_017TfcQ4AgGxKyBduUpqYPZn",
+            "modelId": "claude-3-haiku-20240307",
+          },
+          "usage": {
+            "cachedInputTokens": 5,
+            "inputTokens": 20,
+            "outputTokens": 50,
+            "totalTokens": 70,
+          },
+          "warnings": [],
+        }
+      `);
+    });
+
     it('should send request body', async () => {
       prepareJsonResponse({ content: [] });
 
@@ -1239,6 +1422,20 @@ describe('AnthropicMessagesLanguageModel', () => {
         });
       });
     });
+
+    it('should throw an api error when the server is overloaded', async () => {
+      server.urls['https://api.anthropic.com/v1/messages'].response = {
+        type: 'error',
+        status: 529,
+        body: '{"type":"error","error":{"details":null,"type":"overloaded_error","message":"Overloaded"}}',
+      };
+
+      await expect(
+        model.doGenerate({
+          prompt: TEST_PROMPT,
+        }),
+      ).rejects.toThrow('Overloaded');
+    });
   });
 
   describe('doStream', () => {
@@ -1282,7 +1479,6 @@ describe('AnthropicMessagesLanguageModel', () => {
               $schema: 'http://json-schema.org/draft-07/schema#',
             },
           },
-          includeRawChunks: false,
         });
 
         result = await convertReadableStreamToArray(stream);
@@ -1395,6 +1591,10 @@ describe('AnthropicMessagesLanguageModel', () => {
               "providerMetadata": {
                 "anthropic": {
                   "cacheCreationInputTokens": null,
+                  "usage": {
+                    "input_tokens": 441,
+                    "output_tokens": 2,
+                  },
                 },
               },
               "type": "finish",
@@ -1427,7 +1627,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1469,6 +1668,10 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": null,
+                "usage": {
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
               },
             },
             "type": "finish",
@@ -1503,7 +1706,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1563,6 +1765,10 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": null,
+                "usage": {
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
               },
             },
             "type": "finish",
@@ -1594,7 +1800,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1639,6 +1844,10 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": null,
+                "usage": {
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
               },
             },
             "type": "finish",
@@ -1669,7 +1878,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1701,6 +1909,10 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": null,
+                "usage": {
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
               },
             },
             "type": "finish",
@@ -1753,7 +1965,6 @@ describe('AnthropicMessagesLanguageModel', () => {
           },
         ],
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1835,6 +2046,10 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": null,
+                "usage": {
+                  "input_tokens": 441,
+                  "output_tokens": 2,
+                },
               },
             },
             "type": "finish",
@@ -1862,7 +2077,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -1907,7 +2121,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { response } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(response?.headers).toStrictEqual({
@@ -1937,7 +2150,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await server.calls[0].requestBodyJson).toStrictEqual({
@@ -1976,12 +2188,10 @@ describe('AnthropicMessagesLanguageModel', () => {
         headers: {
           'Custom-Request-Header': 'request-header-value',
         },
-        includeRawChunks: false,
       });
 
       expect(server.calls[0].requestHeaders).toMatchInlineSnapshot(`
         {
-          "anthropic-beta": "fine-grained-tool-streaming-2025-05-14",
           "anthropic-version": "2023-06-01",
           "content-type": "application/json",
           "custom-provider-header": "provider-header-value",
@@ -2012,7 +2222,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { stream } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
@@ -2044,6 +2253,91 @@ describe('AnthropicMessagesLanguageModel', () => {
             "providerMetadata": {
               "anthropic": {
                 "cacheCreationInputTokens": 10,
+                "usage": {
+                  "cache_creation_input_tokens": 10,
+                  "cache_read_input_tokens": 5,
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
+              },
+            },
+            "type": "finish",
+            "usage": {
+              "cachedInputTokens": 5,
+              "inputTokens": 17,
+              "outputTokens": 227,
+              "totalTokens": 244,
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should support cache control and return extra fields in provider metadata', async () => {
+      server.urls['https://api.anthropic.com/v1/messages'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],` +
+            `"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":` +
+            // send cache output tokens:
+            `{"input_tokens":17,"output_tokens":1,"cache_creation_input_tokens":10,"cache_read_input_tokens":5,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10}}}}\n\n`,
+          `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}          }\n\n`,
+          `data: {"type": "ping"}\n\n`,
+          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"${'Hello'}"}              }\n\n`,
+          `data: {"type":"content_block_stop","index":0             }\n\n`,
+          `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}          }\n\n`,
+          `data: {"type":"message_stop"           }\n\n`,
+        ],
+      };
+
+      const model = provider('claude-3-haiku-20240307');
+
+      const { stream } = await model.doStream({
+        prompt: TEST_PROMPT,
+        headers: {
+          'anthropic-beta': 'extended-cache-ttl-2025-04-11',
+        },
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "msg_01KfpJoAEabmH2iHRRFjQMAG",
+            "modelId": "claude-3-haiku-20240307",
+            "type": "response-metadata",
+          },
+          {
+            "id": "0",
+            "type": "text-start",
+          },
+          {
+            "delta": "Hello",
+            "id": "0",
+            "type": "text-delta",
+          },
+          {
+            "id": "0",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": {
+              "anthropic": {
+                "cacheCreationInputTokens": 10,
+                "usage": {
+                  "cache_creation": {
+                    "ephemeral_1h_input_tokens": 10,
+                    "ephemeral_5m_input_tokens": 0,
+                  },
+                  "cache_creation_input_tokens": 10,
+                  "cache_read_input_tokens": 5,
+                  "input_tokens": 17,
+                  "output_tokens": 1,
+                },
               },
             },
             "type": "finish",
@@ -2074,7 +2368,6 @@ describe('AnthropicMessagesLanguageModel', () => {
 
       const { request } = await model.doStream({
         prompt: TEST_PROMPT,
-        includeRawChunks: false,
       });
 
       expect(request).toMatchInlineSnapshot(`
@@ -2106,31 +2399,30 @@ describe('AnthropicMessagesLanguageModel', () => {
         }
       `);
     });
-  });
 
-  describe('raw chunks', () => {
-    it('should include raw chunks when includeRawChunks is enabled', async () => {
-      server.urls['https://api.anthropic.com/v1/messages'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
-          `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
-          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}\n\n`,
-          `data: {"type":"content_block_stop","index":0}\n\n`,
-          `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
-          `data: {"type":"message_stop"}\n\n`,
-        ],
-      };
+    describe('raw chunks', () => {
+      it('should include raw chunks when includeRawChunks is enabled', async () => {
+        server.urls['https://api.anthropic.com/v1/messages'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
+            `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
+            `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}\n\n`,
+            `data: {"type":"content_block_stop","index":0}\n\n`,
+            `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
+            `data: {"type":"message_stop"}\n\n`,
+          ],
+        };
 
-      const { stream } = await model.doStream({
-        prompt: TEST_PROMPT,
-        includeRawChunks: true,
-      });
+        const { stream } = await model.doStream({
+          prompt: TEST_PROMPT,
+          includeRawChunks: true,
+        });
 
-      const chunks = await convertReadableStreamToArray(stream);
+        const chunks = await convertReadableStreamToArray(stream);
 
-      expect(chunks.filter(chunk => chunk.type === 'raw'))
-        .toMatchInlineSnapshot(`
+        expect(chunks.filter(chunk => chunk.type === 'raw'))
+          .toMatchInlineSnapshot(`
         [
           {
             "rawValue": {
@@ -2201,82 +2493,230 @@ describe('AnthropicMessagesLanguageModel', () => {
           },
         ]
       `);
-    });
+      });
 
-    it('should not include raw chunks when includeRawChunks is false', async () => {
-      server.urls['https://api.anthropic.com/v1/messages'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
-          `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
-          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}\n\n`,
-          `data: {"type":"content_block_stop","index":0}\n\n`,
-          `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
-          `data: {"type":"message_stop"}\n\n`,
-        ],
-      };
+      it('should not include raw chunks when includeRawChunks is false', async () => {
+        server.urls['https://api.anthropic.com/v1/messages'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
+            `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
+            `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}\n\n`,
+            `data: {"type":"content_block_stop","index":0}\n\n`,
+            `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
+            `data: {"type":"message_stop"}\n\n`,
+          ],
+        };
 
-      const { stream } = await model.doStream({
-        prompt: TEST_PROMPT,
-        includeRawChunks: false,
+        const { stream } = await model.doStream({
+          prompt: TEST_PROMPT,
+        });
+
+        const chunks = await convertReadableStreamToArray(stream);
+        expect(chunks.filter(chunk => chunk.type === 'raw')).toHaveLength(0);
       });
 
-      const chunks = await convertReadableStreamToArray(stream);
-      expect(chunks.filter(chunk => chunk.type === 'raw')).toHaveLength(0);
-    });
+      it('should process PDF citation responses in streaming', async () => {
+        // Create a model with predictable ID generation for testing
+        const mockProvider = createAnthropic({
+          apiKey: 'test-api-key',
+          generateId: mockId(),
+        });
+        const modelWithMockId = mockProvider('claude-3-haiku-20240307');
 
-    it('should process PDF citation responses in streaming', async () => {
-      // Create a model with predictable ID generation for testing
-      const mockProvider = createAnthropic({
-        apiKey: 'test-api-key',
-        generateId: mockId(),
-      });
-      const modelWithMockId = mockProvider('claude-3-haiku-20240307');
+        // Mock streaming response with PDF citations
+        server.urls['https://api.anthropic.com/v1/messages'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
+            `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
+            `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Based on the document"}}\n\n`,
+            `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":", results show growth."}}\n\n`,
+            `data: {"type":"content_block_stop","index":0}\n\n`,
+            `data: {"type":"content_block_delta","index":0,"delta":{"type":"citations_delta","citation":{"type":"page_location","cited_text":"Revenue increased by 25% year over year","document_index":0,"document_title":"Financial Report 2023","start_page_number":5,"end_page_number":6}}}\n\n`,
+            `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
+            `data: {"type":"message_stop"}\n\n`,
+          ],
+        };
 
-      // Mock streaming response with PDF citations
-      server.urls['https://api.anthropic.com/v1/messages'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
-          `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
-          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Based on the document"}}\n\n`,
-          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":", results show growth."}}\n\n`,
-          `data: {"type":"content_block_stop","index":0}\n\n`,
-          `data: {"type":"content_block_delta","index":0,"delta":{"type":"citations_delta","citation":{"type":"page_location","cited_text":"Revenue increased by 25% year over year","document_index":0,"document_title":"Financial Report 2023","start_page_number":5,"end_page_number":6}}}\n\n`,
-          `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":227}}\n\n`,
-          `data: {"type":"message_stop"}\n\n`,
-        ],
-      };
+        const { stream } = await modelWithMockId.doStream({
+          prompt: [
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'file',
+                  data: 'base64PDFdata',
+                  mediaType: 'application/pdf',
+                  filename: 'financial-report.pdf',
+                  providerOptions: {
+                    anthropic: {
+                      citations: { enabled: true },
+                    },
+                  },
+                },
+                {
+                  type: 'text',
+                  text: 'What do the results show?',
+                },
+              ],
+            },
+          ],
+        });
 
-      const { stream } = await modelWithMockId.doStream({
-        prompt: [
-          {
-            role: 'user',
-            content: [
-              {
-                type: 'file',
-                data: 'base64PDFdata',
-                mediaType: 'application/pdf',
-                filename: 'financial-report.pdf',
-                providerOptions: {
-                  anthropic: {
-                    citations: { enabled: true },
+        const result = await convertReadableStreamToArray(stream);
+
+        expect(result).toMatchInlineSnapshot(`
+          [
+            {
+              "type": "stream-start",
+              "warnings": [],
+            },
+            {
+              "id": "msg_01KfpJoAEabmH2iHRRFjQMAG",
+              "modelId": "claude-3-haiku-20240307",
+              "type": "response-metadata",
+            },
+            {
+              "id": "0",
+              "type": "text-start",
+            },
+            {
+              "delta": "Based on the document",
+              "id": "0",
+              "type": "text-delta",
+            },
+            {
+              "delta": ", results show growth.",
+              "id": "0",
+              "type": "text-delta",
+            },
+            {
+              "id": "0",
+              "type": "text-end",
+            },
+            {
+              "filename": "financial-report.pdf",
+              "id": "id-0",
+              "mediaType": "application/pdf",
+              "providerMetadata": {
+                "anthropic": {
+                  "citedText": "Revenue increased by 25% year over year",
+                  "endPageNumber": 6,
+                  "startPageNumber": 5,
+                },
+              },
+              "sourceType": "document",
+              "title": "Financial Report 2023",
+              "type": "source",
+            },
+            {
+              "finishReason": "stop",
+              "providerMetadata": {
+                "anthropic": {
+                  "cacheCreationInputTokens": null,
+                  "usage": {
+                    "input_tokens": 17,
+                    "output_tokens": 1,
                   },
                 },
               },
+              "type": "finish",
+              "usage": {
+                "cachedInputTokens": undefined,
+                "inputTokens": 17,
+                "outputTokens": 227,
+                "totalTokens": 244,
+              },
+            },
+          ]
+        `);
+      });
+
+      describe('web search', () => {
+        it('should stream sources and tool calls', async () => {
+          server.urls['https://api.anthropic.com/v1/messages'].response = {
+            type: 'stream-chunks',
+            headers: { 'test-header': 'test-value' },
+            chunks: [
+              `data: {"type":"message_start","message":{"id":"msg_01SZs8CgARn2ixN9VnpjE6WH","type":"message","role":"assistant","model":"claude-3-5-sonnet-20241022","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2688,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":2,"service_tier":"standard"}}}\n\n`,
+              `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
+              `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"I'll search for the latest stock market trends and financial news"}}\n\n`,
+              `data: {"type":"content_block_stop","index":0}\n\n`,
+              `data: {"type":"content_block_start","index":1,"content_block":{"type":"server_tool_use","id":"srvtoolu_01WLwJ9AzAmNar5vFyc4ye6X","name":"web_search","input":{}}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\\""}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"query\\": \\"latest stock "}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"mar"}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"ket trends financial"}}\n\n`,
+              `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" news June 20 2025\\"}"}}\n\n`,
+              `data: {"type":"content_block_stop","index":1}\n\n`,
+              `data: {"type":"content_block_start","index":2,"content_block":{"type":"web_search_tool_result","tool_use_id":"srvtoolu_01WLwJ9AzAmNar5vFyc4ye6X","content":[{"type":"web_search_result","title":"Stock market news for June 18, 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26, 2020"},{"type":"web_search_result","title":"June 2025 US Stock Market Outlook: Has the Storm Passed? | 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weeks ago"},{"type":"web_search_result","title":"Stock market today: Dow, S&P 500, Nasdaq stall as Fed holds rates steady, forecasts 2 cuts in 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days ago"},{"type":"web_search_result","title":"June 2025 stock market outlook | 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weeks ago"},{"type":"web_search_result","title":"Markets News, June 10, 2025: Stocks Rise for 3rd Straight Day as Investors Await News on US-China Trade Talks; Tesla, Intel Surge to Pace S&P 500","url":"https://www.investopedia.com/dow-jones-today-06102025-11751328","encrypted_content":"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","page_age":null},{"type":"web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Morningstar","url":"https://www.morningstar.com/markets","encrypted_content":"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","page_age":null},{"type":"web_search_result","title":"Markets News, June 9, 2025: Stocks Rise as Investors Await News on US-China Trade Talks; S&P 500, Nasdaq Trading at Highest Levels Since February","url":"https://www.investopedia.com/dow-jones-today-06092025-11750420","encrypted_content":"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","page_age":null}]}}\n\n`,
+              `data: {"type":"content_block_stop","index":2}\n\n`,
+              `data: {"type":"content_block_start","index":3,"content_block":{"type":"text","text":""}}\n\n`,
+              `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"Based on the search results,"}}\n\n`,
+              `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" here's a comprehensive overview of current"}}\n\n`,
+              `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" stock market trends: \\n\\nMarket Performance:"}}\n\n`,
+              `data: {"type":"content_block_stop","index":3}\n\n`,
+              `data: {"type":"content_block_start","index":4,"content_block":{"citations":[],"type":"text","text":""}}\n\n`,
+              `data: {"type":"content_block_delta","index":4,"delta":{"type":"citations_delta","citation":{"type":"web_search_result_location","cited_text":"Through Friday's close, the S&P 500 was up up 2% since the start of the year, while the Nasdaq Composite had gained 1.1% and the Dow Jones Industrial ...","url":"https://www.investopedia.com/dow-jones-today-06092025-11750420","title":"Markets News, June 9, 2025: Stocks Rise as Investors Await News on US-China Trade Talks; S&P 500, Nasdaq Trading at Highest Levels Since February","encrypted_index":"EpEBCioIBBgCIiRiY2JjZWJjMy1lYTFhLTRmNjktYTUwMy01YzgwNWU1Y2U0NzESDGJyCJ7HnEGjHLeB8hoMsaQDATkym4QTF6g9IjCnRoiZ2XE66u8kx6lBEwocXiyHus1/YL2l9cPwS8Zs/PL9uplW+u0XlETlS0z1ZtYqFQ/TIKRThFDiYozcZ8zgG4IN8pCHLhgE"}}}\n\n`,
+              `data: {"type":"content_block_delta","index":4,"delta":{"type":"text_delta","text":"Through recent trading, the major indexes are showing modest gains for 2025:"}}\n\n`,
+              `data: {"type":"content_block_stop","index":4}\n\n`,
+              `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":19455,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":829,"server_tool_use":{"web_search_requests":1}}}\n\n`,
+              `data: {"type":"message_stop"}\n\n`,
+            ],
+          };
+
+          // Create a model with a predictable generateId function
+          const mockProvider = createAnthropic({
+            apiKey: 'test-api-key',
+            generateId: mockId(),
+          });
+          const modelWithMockId = mockProvider('claude-3-haiku-20240307');
+
+          const { stream } = await modelWithMockId.doStream({
+            prompt: TEST_PROMPT,
+            tools: [
               {
-                type: 'text',
-                text: 'What do the results show?',
+                type: 'provider-defined',
+                id: 'anthropic.web_search_20250305',
+                name: 'web_search',
+                args: {},
               },
             ],
-          },
-        ],
-        includeRawChunks: false,
+          });
+
+          expect(await convertReadableStreamToArray(stream)).toMatchSnapshot();
+        });
       });
+    });
 
-      const result = await convertReadableStreamToArray(stream);
+    it('should throw an api error when the server is overloaded', async () => {
+      server.urls['https://api.anthropic.com/v1/messages'].response = {
+        type: 'error',
+        status: 529,
+        body: '{"type":"error","error":{"details":null,"type":"overloaded_error","message":"Overloaded"}}',
+      };
 
-      expect(result).toMatchInlineSnapshot(`
+      await expect(model.doStream({ prompt: TEST_PROMPT })).rejects.toThrow(
+        'Overloaded',
+      );
+    });
+
+    it('should forward overloaded error during streaming', async () => {
+      server.urls['https://api.anthropic.com/v1/messages'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data: {"type":"message_start","message":{"id":"msg_01KfpJoAEabmH2iHRRFjQMAG","type":"message","role":"assistant","content":[],"model":"claude-3-haiku-20240307","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":17,"output_tokens":1}}}\n\n`,
+          `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
+          `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}\n\n`,
+          `data: {"type":"error","error":{"details":null,"type":"overloaded_error","message":"Overloaded"}}\n\n`,
+        ],
+      };
+
+      const { stream } = await model.doStream({ prompt: TEST_PROMPT });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
         [
           {
             "type": "stream-start",
@@ -2292,108 +2732,19 @@ describe('AnthropicMessagesLanguageModel', () => {
             "type": "text-start",
           },
           {
-            "delta": "Based on the document",
-            "id": "0",
-            "type": "text-delta",
-          },
-          {
-            "delta": ", results show growth.",
+            "delta": "Hello",
             "id": "0",
             "type": "text-delta",
           },
           {
-            "id": "0",
-            "type": "text-end",
-          },
-          {
-            "filename": "financial-report.pdf",
-            "id": "id-0",
-            "mediaType": "application/pdf",
-            "providerMetadata": {
-              "anthropic": {
-                "citedText": "Revenue increased by 25% year over year",
-                "endPageNumber": 6,
-                "startPageNumber": 5,
-              },
-            },
-            "sourceType": "document",
-            "title": "Financial Report 2023",
-            "type": "source",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": {
-              "anthropic": {
-                "cacheCreationInputTokens": null,
-              },
-            },
-            "type": "finish",
-            "usage": {
-              "cachedInputTokens": undefined,
-              "inputTokens": 17,
-              "outputTokens": 227,
-              "totalTokens": 244,
+            "error": {
+              "message": "Overloaded",
+              "type": "overloaded_error",
             },
+            "type": "error",
           },
         ]
       `);
     });
-
-    describe('web search', () => {
-      it('should stream sources and tool calls', async () => {
-        server.urls['https://api.anthropic.com/v1/messages'].response = {
-          type: 'stream-chunks',
-          headers: { 'test-header': 'test-value' },
-          chunks: [
-            `data: {"type":"message_start","message":{"id":"msg_01SZs8CgARn2ixN9VnpjE6WH","type":"message","role":"assistant","model":"claude-3-5-sonnet-20241022","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2688,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":2,"service_tier":"standard"}}}\n\n`,
-            `data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}\n\n`,
-            `data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"I'll search for the latest stock market trends and financial news"}}\n\n`,
-            `data: {"type":"content_block_stop","index":0}\n\n`,
-            `data: {"type":"content_block_start","index":1,"content_block":{"type":"server_tool_use","id":"srvtoolu_01WLwJ9AzAmNar5vFyc4ye6X","name":"web_search","input":{}}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\\""}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"query\\": \\"latest stock "}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"mar"}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"ket trends financial"}}\n\n`,
-            `data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" news June 20 2025\\"}"}}\n\n`,
-            `data: {"type":"content_block_stop","index":1}\n\n`,
-            `data: {"type":"content_block_start","index":2,"content_block":{"type":"web_search_tool_result","tool_use_id":"srvtoolu_01WLwJ9AzAmNar5vFyc4ye6X","content":[{"type":"web_search_result","title":"Stock market news for June 18, 2025","url":"https://www.cnbc.com/2025/06/17/stock-market-today-live-updates.html","encrypted_content":"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","page_age":"1 day ago"},{"type":"web_search_result","title":"Markets News, June 18, 2025: Stocks Close Little Changed After Fed Holds Rates Steady as Investors Monitor News on Israel-Iran Conflict","url":"https://www.investopedia.com/dow-jones-today-06182025-11756849","encrypted_content":"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Stock Market Update | Edward 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26, 2020"},{"type":"web_search_result","title":"June 2025 US Stock Market Outlook: Has the Storm Passed? | 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weeks ago"},{"type":"web_search_result","title":"Stock market today: Dow, S&P 500, Nasdaq stall as Fed holds rates steady, forecasts 2 cuts in 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days ago"},{"type":"web_search_result","title":"June 2025 stock market outlook | 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weeks ago"},{"type":"web_search_result","title":"Markets News, June 10, 2025: Stocks Rise for 3rd Straight Day as Investors Await News on US-China Trade Talks; Tesla, Intel Surge to Pace S&P 500","url":"https://www.investopedia.com/dow-jones-today-06102025-11751328","encrypted_content":"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","page_age":null},{"type":"web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February","url":"https://www.investopedia.com/dow-jones-today-06092025-11750420","encrypted_content":"EpIhCioIBBgCIiRiY2JjZWJjMy1lYTFhLTRmNjktYTUwMy01YzgwNWU1Y2U0NzESDIQ0jz/ulBIATIUxshoMKOUiQek4i7Ja8C1DIjB/fentxdWOZIXcGXJs6iHTmfCW9bDK6IOEiboHWhBXU0WlMeW9Z4AXpRQfN2xYORAqlSDuGiqN203b24YfVzvbX+0aN+sU9SV0AyY4lG5k07OmorwzIBezgjd9KO9g6kWeZC4hzTRF5eAkJPCgasmKiqcf8HvVxTq8pMPpZknHTcLU5sO1+s3EIPe1DWXnPZ4huweyKDRxlB8PhY3gMHDQnAoxj1WaAHSOhfdxmhJGwQy3r7fxJtbJ5JRRTbjZIkOQKc8o7NSe2sBE1k4hLCo3swU5c3lFJdDX+HzGraHR3AWbWEgtf0Y4KJGoTSutbH7yI3LyHiiaHWq0S4XWCSfn52E4H5tpABbidQVXKfHKml7+1VxnyxgxnPJSuSm1J4Xw8fzGCRj2NBRC8Y1c+LjyjZIqQiCVc5yTliwCXTh4Rf8VlBwF9+2+fk2COvSqNvVJ/u4KT1X3oqcDwGf/M4bEdVMlZvqArJMC/bTbloGur/ohLFKwRBJsNb777SS8cuzqPRaGI0RYT6f99hH/dSHNNX1okrk56FxiYnZxlwLEbKCmZdF9Q2Mvvb8h9LBvWY6kBXgdiUkZcSBFKCwaRdTle89cOzdk3JRg4owtqO0aT12MAqfLkIJDNwRh7ZOthi+NJeLDaSdnD80aEfC8eicsDpxkXPG5+2UNU2g/F/LrVPgwYCqZ2/vqv4UrPlN4btSOWMpbe5f0G2LU27+awaHqufiI5Oo5Ovg9eTrIMt7dwm30MaWYdTDcPtxNyr6ZmiI6tJVGffKIUhasXz0MmkYxpzbPzrzP13wtpBsysG+SYodklMa3AP8V1bmitfN/ljFjTsZnW7mIvb+Uq3kSgIO4168vgo78va6DMMK4SxMY2T2Sth1zASjh7+m0Y4Kj04/pnZcHTlzmm7lUt2kVtLHElj2DOHMlB5k0w92aoRI2LeKKOVmwjL1zMhBbAf1boynfKUmxyMhR6vF/E7/USZV8tt4vvO/u2lyytwJZCU47s9yE8WlzjsOdbU3OdecXw7fiOlvqij0LPcjSyxjSLr+bW/wkZ+4QUtcbQGG80C1KOs1B4gA2ohPrANWOeB4NiQ+IzJR+d26hrXSMaKUWEcYV3ZuNR1N+jDEWlBi8Z5rfjhB/TG4BCzJNjCYIhFLIOAd6USI/OVIgA+J56fFg8PcE4izRsiA840mc5N9P/5rd7NoeT26n+NRKYjny1HOlePALrzpwJ4Yrq6iW3y0kFujL4Vl1RW2GFf0d4SWaI8nmAHhNvBElSgSqfqc05L2S49i+ZLJ0ht8qQB+Le0Kku3SEVFxTOCMgO26WXkVP2d9Yle9IPR6uaOxfC/8qXm0joECotNeYEcaEsd3au+/lLlXfcCQIrJR8AzJlg2pJNUaWTSCshtoiVf/qVVmDi7xKjUTUGnUvTXwjv15P+nWxN6vnWKYxazj+y6N6HRrJxolZwGDT8dr23KOFPJroLg4Bfzx9HgusS7aZ0UjXJNvxHt/1FmRsmu4Ztj/hn7UrsFuetYhq6fEK3J30aS79qn605tAb4hWeVf1t8Mhdujm1Yg8Q4r4N5SHrqs+qeCYNXdKyvsUSQRDnsjWirduSxyy+q2Kpz5uXT14YHu+UIkshhowxJPYNfH6SbfbEVxupRTsODe9e5K0UbKcbXvq3z8sZS7SUJFl4+umgJUrj2tR56rcpYJKO+5Mr+LLuq4aF9VBkQTUhBvaLuvSezAMjeUUxK5kyJTEY7Pt2A3maU2UxJHIlMRm/F6KvreDDLFJoJrsW77iWK10PG0k3uBAg1VNVCF9y63kI4+yUDpsmhtuvEDw8Wg1N4eS1Ogvxn+YGtmh6rlLp5RAPvnVl47xFZSbRS+NVMh3cNsmU1wDOeekWDMut4HDFyzW1USHyNtmKSCNF9RSsq2ALpEdsTAtb9SlL+dA25ChAbxugbIaSdvRQOVuq8pfDMgtjT7iR5HRbcX2fevcxTl9giTDylNS1EsNTSi2dXPIUVCvLPoqMabhSjFu8WeGMbr1WopCs6XVQD3vtsIhAPKvbKd9sTk78mU3hwcKhqqSRsOfQXSTA2D6N0kRn5BgwgiETxVXw3t0K3rzCOd91//Y+g/25x3+vCZY36BVuSG+06i5aBAA4HvdE9MRBpXe3zU4tgtSAF8ScDA0OPphS4mDPhtR8GSbIGPxMW+tjs9/JgxeCOoK1heweTACKXCjtSKFEP8AMSdTsor5v64tNi0FpH0Vqh3XZp+tGJOdWQYiPL3ZzOhGhPxJnuiZFb0uKALF1w+QUusnhzV07QGt32uRdTt7V/5/L2U6i7FK2KvzwUgzbWkm4v7e2X8vaP8f+w0xWZCCyXxZvUdVnC8HBs+i0P8guv2ob1x7HO83BsPfgYaaYtngzGO0wlDaALCIgW7QrryC92XE+e1mRFSJnoqsBF/z+51q+Hpm4CGdyj/8GBBTSZF+SgBgzuZav0R0APTfisktHTL9Q4KwrhQr5OLuZ8yeBXyUwJkg/ZiBU7SGMzZZsUnhwz51AgxWiB63ITazFzSfcuwuumeQM3BUIcx8Z/KjPnhzWqyyLIw7pLeLar5qYenXySTotxa4oNUsukkrh5DYlF/TDWvN6PX/prWV66vfxkUIdtYaxx9OrVdL5xdTmFMBpxZNaHloch/KGnN/MZacCNMu3vX3GrxPXrEB7fnV61c1Z22MN/UFJTG3ulhh8+xbAuSQuzVpaaCUy5PKhugSxqTALGIzWF1yxq9mG2NgXivnmN9Ju+jRJBMVzGmZMpmPC076yhRvOFPZYHVTSoPl/5ApqbNHLIhCTwjo6L/vyfUekeK7rB4y6iQJ1ymiQcRUZbe1VW78gYJ2LVhhrlQEqkhgzr1XEnv0qXLSiXrbo7WXQ1ENOnOfonDulRTyMieJ4DVB1cnLQlFkzwAzIOwUj2PgiOzL94G/fTwOeOfcFmghK2pFDFnltm43o/4LOtl2Nv52Rmh4PhNZn+eb51R/DjTZuEVt8x1Y4WMttp3QlrCKcYFLL/P5ytS1WYAA2QkBaH/CAWyhfY1CpcMb1u2L67GQ3erXn05+VlBElasIIvSchQMwlbDS5lKE8TP3/x7buwgZJNpTnZBAORulNNceYIx2iQilK8aiCKW2DXwJ/Gj9P9NUzTfSOpc/H5HbjgqGrqCMW8YNaK7XFjbl7MZmrOoxNXkDO63HcaqlbGsPcmG/Wpsi1v7KmvGJGRvYGQ5lIvZ2WGKip/UpgJhCRiamjgN0DGxNJ6j+rD+wXRBrq1aoHCMcxmAcxxTs9rSdgB33XenYWLFrYJz+Xd4QStoYJqj17pbnoPsc5o4DJkOtiDo5FgDs41KoEYs8dbxpltdocXYnSIBvqhBf2iNZNdWX60a58DZK7rv3Oh5w2dzgUhzlP3J/ZskPGeyjH+XO+5+bEXEauLVOzI4MtzSaXGR0dTdoPk4DJsjGmiVuVESqb/Q3Avy1+DQWA7mJ/nTjPtuqAlfgiCgiGvLCIgrcSEtqCahs4w6AXeoLz91PMbAygyJenoRdAT7f6S0btFgX4ivltP5Yi3ITegVCLif+tby+jRXxq4J/5a+8PrBGO6qLnQvEe+dPelP815A6NKA5RvgaFMW0YSgKGwpTnXw8Q3zwU32BjtjOtNS3esEWcS5rAmx0Mfu1ym67cd1g05Ns4dA867z5AMqvwnDuUQcpt6mtXxmv+oaFsWNDTsNC8M+0V7I82eSxdvG2aE/5nqm1m/QbaiyT7mvUKlQGAoZ07brKZe4vaeAy1iSmKzLTUCfEUvwLzFW4cVHydeAOmM+VoKHX+tS68Vakl7/oyu1MURLXrQhO8lWddKMiTYMelhcMBqRz4WNqKeFEFuDTOtiQl+2zEyIcEENf/ixb7MIzoIxoC7WSnzBm8p5YsqNCG/+3DpPMToFDFnyne0+5qWlCqqPjO2zW/XbBM6phUc0iGoZiNtG0u5mgqJFCKA6+6gAAvrSszVvMT6NJphOShjhd0NbH7vZ5nRLtaVKPq9etAVYFi7MrN0d1RuaKBz4VcR84zDs/0HISNUHxXBh0vIRfUTZ264j/HMoKmx4lmYSc8XZ6FkEKFpObgDOZW3A+URFkEUxYV1a2agLUZwWhICDfYgk4VgcUIdp2o49LlP+dRoC/P1x8dM+JvU036Rk9jjdAu/ZwDPPZXeiiQwZiu2ytKpGfYq2bBU7Q1PlEqP+9b+UfXp5Jf/JSfnPTTPz2QKOsY4vMDc6TyJTNV23GR6RzgtqoUlWmzE4GFoEtvmjyEhluj0S/qcIACzWKVr/IvKI9TFeo+1Ds+FXVadNdQh8DlPqkAQMKrYPwkxc8HwK8DOndYeouPBZReKehwpd0aAst2oy5ytDYGBDJ4W1RpS4q/4PxTwffwwsA0B1hE9WcwrqH06pcY1zu4XBIWZwbUg3nASexRax66YV1b6b5TfQqrCJzLTE0r2YfcHqwO19vH1pi7JVEe7/HvH/nV2QEFAFvjKgyFojEUHq4eya0YB/GhqwlLBGsY/91oFMHLwgEtquLuv7UK/ZU4Wrh2ZXtxHer+CFiCEuuuOxVIX+Fu02Wwl23SdM6BtWEnv0EhtYu7EgnJa1ybRJYW+1QsJND/tInImyA7/BD6be9q4DVMFGflcgW/mdtulWVUxS9CKtPX9lbpcpjkobI7lDc2YrVdVhJD9EiFWm21tkhixod9tiebSnP82TwMnylTX0C+tbYKvbL/Ztlz4OS1mXiUemB/ircwIJYBqTa2QSQUJeYZzVt7pvbfBnvV/pGcY7ZMtGizO5ZeRodVm4SpDc2/rH+qYkjJmZhkkjpAFmW/nGguhfyHO4uOat/ITIyqEW6D2z7riIwDgxLUBp8JqZDJzcddpQGy4Tba2rTJrd4C5UkU/G/Tv7ZgVT7FMIVOdjrsBgeLKAGVVcYRDi4EgP8ym9FPmgG5SMWXI2qL4TMwqqyYQwWvC0iI41dh5f/wiogF+QgaivyfPP21qpVcWyx3FIvt8jOu2kJgKWo8+XXZg3HoFqRXaywJXZuzvCTOKSYN6bXVPqNc4+CBaD2DkwdK8wSVYv6gyurLbu4vCGg68iGPnxI1DT5TxGjQT2yxAth5bhYCxIto1CNpwJrErwhtVn8SVXsCR3v/QmpsxTalaIwT8bUQj5Yvcz/dutrpSF+oyEI6q+Er8JimZCCXwpAUzQXijlrt9uPbcpCBFSLLq57b4Z0bynTn/qD2HMLLY3/gNCaCfLUrKEmZ+/Xo+D6FU36CQwOKoXvXoFt4cGL9WAEXMmLijiE9XwbvrYvsp8K0WcrPVK6n0ohx4tUYBhJ7sDAi9umwvQw+HoeiIa+O6fGtQqYs9Iz8RztMQAY1CR6oIY5psC8ui9BMDfh+IH9SYdhyjdx4LIQtk1hA+UMMl8YCnkFutrRDeXpkAvCv6GbskmQLAnOjVdS2vXZhdCX1RxJLW/yWIdaqE73FWUmggg9sHHW53UK2XiRD/pAWMDJs2a75wwNDFN6WufqW4gN5Lz0Ti1LwRHuLpUcUFBhMpOA6GFJ6dXhpVpkUMSPH0HkavS4dJ4uy0ELnFQWJqJhQolfZ585BGAM=","page_age":null}]}}\n\n`,
-            `data: {"type":"content_block_stop","index":2}\n\n`,
-            `data: {"type":"content_block_start","index":3,"content_block":{"type":"text","text":""}}\n\n`,
-            `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"Based on the search results,"}}\n\n`,
-            `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" here's a comprehensive overview of current"}}\n\n`,
-            `data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" stock market trends: \\n\\nMarket Performance:"}}\n\n`,
-            `data: {"type":"content_block_stop","index":3}\n\n`,
-            `data: {"type":"content_block_start","index":4,"content_block":{"citations":[],"type":"text","text":""}}\n\n`,
-            `data: {"type":"content_block_delta","index":4,"delta":{"type":"citations_delta","citation":{"type":"web_search_result_location","cited_text":"Through Friday's close, the S&P 500 was up up 2% since the start of the year, while the Nasdaq Composite had gained 1.1% and the Dow Jones Industrial ...","url":"https://www.investopedia.com/dow-jones-today-06092025-11750420","title":"Markets News, June 9, 2025: Stocks Rise as Investors Await News on US-China Trade Talks; S&P 500, Nasdaq Trading at Highest Levels Since February","encrypted_index":"EpEBCioIBBgCIiRiY2JjZWJjMy1lYTFhLTRmNjktYTUwMy01YzgwNWU1Y2U0NzESDGJyCJ7HnEGjHLeB8hoMsaQDATkym4QTF6g9IjCnRoiZ2XE66u8kx6lBEwocXiyHus1/YL2l9cPwS8Zs/PL9uplW+u0XlETlS0z1ZtYqFQ/TIKRThFDiYozcZ8zgG4IN8pCHLhgE"}}}\n\n`,
-            `data: {"type":"content_block_delta","index":4,"delta":{"type":"text_delta","text":"Through recent trading, the major indexes are showing modest gains for 2025:"}}\n\n`,
-            `data: {"type":"content_block_stop","index":4}\n\n`,
-            `data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":19455,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":829,"server_tool_use":{"web_search_requests":1}}}\n\n`,
-            `data: {"type":"message_stop"}\n\n`,
-          ],
-        };
-
-        // Create a model with a predictable generateId function
-        const mockProvider = createAnthropic({
-          apiKey: 'test-api-key',
-          generateId: mockId(),
-        });
-        const modelWithMockId = mockProvider('claude-3-haiku-20240307');
-
-        const { stream } = await modelWithMockId.doStream({
-          prompt: TEST_PROMPT,
-          tools: [
-            {
-              type: 'provider-defined',
-              id: 'anthropic.web_search_20250305',
-              name: 'web_search',
-              args: {},
-            },
-          ],
-        });
-
-        expect(await convertReadableStreamToArray(stream)).toMatchSnapshot();
-      });
-    });
   });
 });
diff --git a/packages/anthropic/src/anthropic-messages-language-model.ts b/packages/anthropic/src/anthropic-messages-language-model.ts
index 2c4395af8cab..1aa817c78e2f 100644
--- a/packages/anthropic/src/anthropic-messages-language-model.ts
+++ b/packages/anthropic/src/anthropic-messages-language-model.ts
@@ -1,5 +1,6 @@
 import {
-  APICallError,
+  JSONObject,
+  JSONValue,
   LanguageModelV2,
   LanguageModelV2CallWarning,
   LanguageModelV2Content,
@@ -72,6 +73,9 @@ const documentCitationSchema = z.discriminatedUnion('type', [
 
 type Citation = z.infer<typeof citationSchema>;
 export type DocumentCitation = z.infer<typeof documentCitationSchema>;
+export type AnthropicProviderMetadata = SharedV2ProviderMetadata & {
+  usage?: Record<string, JSONValue>;
+};
 
 function processCitation(
   citation: Citation,
@@ -328,8 +332,13 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV2 {
         ? {
             tools: [jsonResponseTool],
             toolChoice: { type: 'tool', toolName: jsonResponseTool.name },
+            disableParallelToolUse: anthropicOptions?.disableParallelToolUse,
           }
-        : { tools: tools ?? [], toolChoice },
+        : {
+            tools: tools ?? [],
+            toolChoice,
+            disableParallelToolUse: anthropicOptions?.disableParallelToolUse,
+          },
     );
 
     return {
@@ -339,11 +348,7 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV2 {
         tool_choice: anthropicToolChoice,
       },
       warnings: [...warnings, ...toolWarnings],
-      betas: new Set([
-        'fine-grained-tool-streaming-2025-05-14',
-        ...messagesBetas,
-        ...toolsBetas,
-      ]),
+      betas: new Set([...messagesBetas, ...toolsBetas]),
       usesJsonResponseTool: jsonResponseTool != null,
     };
   }
@@ -591,6 +596,7 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV2 {
       warnings,
       providerMetadata: {
         anthropic: {
+          usage: response.usage as JSONObject,
           cacheCreationInputTokens:
             response.usage.cache_creation_input_tokens ?? null,
         },
@@ -640,7 +646,7 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV2 {
       | { type: 'text' | 'reasoning' }
     > = {};
 
-    let providerMetadata: SharedV2ProviderMetadata | undefined = undefined;
+    let providerMetadata: AnthropicProviderMetadata | undefined = undefined;
 
     let blockType:
       | 'text'
@@ -967,6 +973,7 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV2 {
 
                 providerMetadata = {
                   anthropic: {
+                    usage: value.message.usage as JSONObject,
                     cacheCreationInputTokens:
                       value.message.usage.cache_creation_input_tokens ?? null,
                   },
@@ -1078,20 +1085,15 @@ const anthropicMessagesResponseSchema = z.object({
     ]),
   ),
   stop_reason: z.string().nullish(),
-  usage: z.object({
+  usage: z.looseObject({
     input_tokens: z.number(),
     output_tokens: z.number(),
     cache_creation_input_tokens: z.number().nullish(),
     cache_read_input_tokens: z.number().nullish(),
-    server_tool_use: z
-      .object({
-        web_search_requests: z.number(),
-      })
-      .nullish(),
   }),
 });
 
-// limited version of the schema, focussed on what is needed for the implementation
+// limited version of the schema, focused on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const anthropicMessagesChunkSchema = z.discriminatedUnion('type', [
   z.object({
@@ -1099,7 +1101,7 @@ const anthropicMessagesChunkSchema = z.discriminatedUnion('type', [
     message: z.object({
       id: z.string().nullish(),
       model: z.string().nullish(),
-      usage: z.object({
+      usage: z.looseObject({
         input_tokens: z.number(),
         output_tokens: z.number(),
         cache_creation_input_tokens: z.number().nullish(),
diff --git a/packages/anthropic/src/anthropic-messages-options.ts b/packages/anthropic/src/anthropic-messages-options.ts
index f8066a9c607a..f702eed6a893 100644
--- a/packages/anthropic/src/anthropic-messages-options.ts
+++ b/packages/anthropic/src/anthropic-messages-options.ts
@@ -2,8 +2,8 @@ import { z } from 'zod/v4';
 
 // https://docs.anthropic.com/claude/docs/models-overview
 export type AnthropicMessagesModelId =
-  | 'claude-4-opus-20250514'
-  | 'claude-4-sonnet-20250514'
+  | 'claude-opus-4-20250514'
+  | 'claude-sonnet-4-20250514'
   | 'claude-3-7-sonnet-20250219'
   | 'claude-3-5-sonnet-latest'
   | 'claude-3-5-sonnet-20241022'
@@ -61,6 +61,12 @@ export const anthropicProviderOptions = z.object({
       budgetTokens: z.number().optional(),
     })
     .optional(),
+
+  /**
+   * Whether to disable parallel function calling during tool use. Default is false.
+   * When set to true, Claude will use at most one tool per response.
+   */
+  disableParallelToolUse: z.boolean().optional(),
 });
 
 export type AnthropicProviderOptions = z.infer<typeof anthropicProviderOptions>;
diff --git a/packages/anthropic/src/anthropic-prepare-tools.test.ts b/packages/anthropic/src/anthropic-prepare-tools.test.ts
index 8faf40af9fa3..1f2ece9c8b23 100644
--- a/packages/anthropic/src/anthropic-prepare-tools.test.ts
+++ b/packages/anthropic/src/anthropic-prepare-tools.test.ts
@@ -1,105 +1,106 @@
 import { prepareTools } from './anthropic-prepare-tools';
 
-it('should return undefined tools and tool_choice when tools are null', () => {
-  const result = prepareTools({ tools: undefined });
-  expect(result).toEqual({
-    tools: undefined,
-    tool_choice: undefined,
-    toolWarnings: [],
-    betas: new Set(),
+describe('prepareTools', () => {
+  it('should return undefined tools and tool_choice when tools are null', () => {
+    const result = prepareTools({ tools: undefined });
+    expect(result).toEqual({
+      tools: undefined,
+      tool_choice: undefined,
+      toolWarnings: [],
+      betas: new Set(),
+    });
   });
-});
 
-it('should return undefined tools and tool_choice when tools are empty', () => {
-  const result = prepareTools({ tools: [] });
-  expect(result).toEqual({
-    tools: undefined,
-    tool_choice: undefined,
-    toolWarnings: [],
-    betas: new Set(),
+  it('should return undefined tools and tool_choice when tools are empty', () => {
+    const result = prepareTools({ tools: [] });
+    expect(result).toEqual({
+      tools: undefined,
+      tool_choice: undefined,
+      toolWarnings: [],
+      betas: new Set(),
+    });
   });
-});
 
-it('should correctly prepare function tools', () => {
-  const result = prepareTools({
-    tools: [
+  it('should correctly prepare function tools', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'A test function',
+          inputSchema: { type: 'object', properties: {} },
+        },
+      ],
+    });
+    expect(result.tools).toEqual([
       {
-        type: 'function',
         name: 'testFunction',
         description: 'A test function',
-        inputSchema: { type: 'object', properties: {} },
+        input_schema: { type: 'object', properties: {} },
       },
-    ],
+    ]);
+    expect(result.toolChoice).toBeUndefined();
+    expect(result.toolWarnings).toEqual([]);
   });
-  expect(result.tools).toEqual([
-    {
-      name: 'testFunction',
-      description: 'A test function',
-      input_schema: { type: 'object', properties: {} },
-    },
-  ]);
-  expect(result.toolChoice).toBeUndefined();
-  expect(result.toolWarnings).toEqual([]);
-});
 
-it('should correctly prepare provider-defined tools', () => {
-  const result = prepareTools({
-    tools: [
+  it('should correctly prepare provider-defined tools', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'provider-defined',
+          id: 'anthropic.computer_20241022',
+          name: 'computer',
+          args: { displayWidthPx: 800, displayHeightPx: 600, displayNumber: 1 },
+        },
+        {
+          type: 'provider-defined',
+          id: 'anthropic.text_editor_20241022',
+          name: 'text_editor',
+          args: {},
+        },
+        {
+          type: 'provider-defined',
+          id: 'anthropic.bash_20241022',
+          name: 'bash',
+          args: {},
+        },
+      ],
+    });
+    expect(result.tools).toEqual([
       {
-        type: 'provider-defined',
-        id: 'anthropic.computer_20241022',
         name: 'computer',
-        args: { displayWidthPx: 800, displayHeightPx: 600, displayNumber: 1 },
+        type: 'computer_20241022',
+        display_width_px: 800,
+        display_height_px: 600,
+        display_number: 1,
       },
       {
-        type: 'provider-defined',
-        id: 'anthropic.text_editor_20241022',
-        name: 'text_editor',
-        args: {},
+        name: 'str_replace_editor',
+        type: 'text_editor_20241022',
       },
       {
-        type: 'provider-defined',
-        id: 'anthropic.bash_20241022',
         name: 'bash',
-        args: {},
+        type: 'bash_20241022',
       },
-    ],
+    ]);
+    expect(result.toolChoice).toBeUndefined();
+    expect(result.toolWarnings).toEqual([]);
   });
-  expect(result.tools).toEqual([
-    {
-      name: 'computer',
-      type: 'computer_20241022',
-      display_width_px: 800,
-      display_height_px: 600,
-      display_number: 1,
-    },
-    {
-      name: 'str_replace_editor',
-      type: 'text_editor_20241022',
-    },
-    {
-      name: 'bash',
-      type: 'bash_20241022',
-    },
-  ]);
-  expect(result.toolChoice).toBeUndefined();
-  expect(result.toolWarnings).toEqual([]);
-});
 
-it('should add warnings for unsupported tools', () => {
-  const result = prepareTools({
-    tools: [
-      {
-        type: 'provider-defined',
-        id: 'unsupported.tool',
-        name: 'unsupported_tool',
-        args: {},
-      },
-    ],
-  });
-  expect(result.tools).toEqual([]);
-  expect(result.toolChoice).toBeUndefined();
-  expect(result.toolWarnings).toMatchInlineSnapshot(`
+  it('should add warnings for unsupported tools', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'provider-defined',
+          id: 'unsupported.tool',
+          name: 'unsupported_tool',
+          args: {},
+        },
+      ],
+    });
+    expect(result.tools).toEqual([]);
+    expect(result.toolChoice).toBeUndefined();
+    expect(result.toolWarnings).toMatchInlineSnapshot(`
     [
       {
         "tool": {
@@ -112,65 +113,97 @@ it('should add warnings for unsupported tools', () => {
       },
     ]
   `);
-});
+  });
 
-it('should handle tool choice "auto"', () => {
-  const result = prepareTools({
-    tools: [
-      {
-        type: 'function',
-        name: 'testFunction',
-        description: 'Test',
-        inputSchema: {},
-      },
-    ],
-    toolChoice: { type: 'auto' },
+  it('should handle tool choice "auto"', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'Test',
+          inputSchema: {},
+        },
+      ],
+      toolChoice: { type: 'auto' },
+    });
+    expect(result.toolChoice).toEqual({ type: 'auto' });
   });
-  expect(result.toolChoice).toEqual({ type: 'auto' });
-});
 
-it('should handle tool choice "required"', () => {
-  const result = prepareTools({
-    tools: [
-      {
-        type: 'function',
-        name: 'testFunction',
-        description: 'Test',
-        inputSchema: {},
-      },
-    ],
-    toolChoice: { type: 'required' },
+  it('should handle tool choice "required"', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'Test',
+          inputSchema: {},
+        },
+      ],
+      toolChoice: { type: 'required' },
+    });
+    expect(result.toolChoice).toEqual({ type: 'any' });
   });
-  expect(result.toolChoice).toEqual({ type: 'any' });
-});
 
-it('should handle tool choice "none"', () => {
-  const result = prepareTools({
-    tools: [
-      {
-        type: 'function',
-        name: 'testFunction',
-        description: 'Test',
-        inputSchema: {},
-      },
-    ],
-    toolChoice: { type: 'none' },
+  it('should handle tool choice "none"', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'Test',
+          inputSchema: {},
+        },
+      ],
+      toolChoice: { type: 'none' },
+    });
+    expect(result.tools).toBeUndefined();
+    expect(result.toolChoice).toBeUndefined();
   });
-  expect(result.tools).toBeUndefined();
-  expect(result.toolChoice).toBeUndefined();
-});
 
-it('should handle tool choice "tool"', () => {
-  const result = prepareTools({
-    tools: [
-      {
-        type: 'function',
-        name: 'testFunction',
-        description: 'Test',
-        inputSchema: {},
-      },
-    ],
-    toolChoice: { type: 'tool', toolName: 'testFunction' },
+  it('should handle tool choice "tool"', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'Test',
+          inputSchema: {},
+        },
+      ],
+      toolChoice: { type: 'tool', toolName: 'testFunction' },
+    });
+    expect(result.toolChoice).toEqual({ type: 'tool', name: 'testFunction' });
+  });
+
+  it('should set cache control', () => {
+    const result = prepareTools({
+      tools: [
+        {
+          type: 'function',
+          name: 'testFunction',
+          description: 'Test',
+          inputSchema: {},
+          providerOptions: {
+            anthropic: {
+              cacheControl: { type: 'ephemeral' },
+            },
+          },
+        },
+      ],
+    });
+
+    expect(result.tools).toMatchInlineSnapshot(`
+      [
+        {
+          "cache_control": {
+            "type": "ephemeral",
+          },
+          "description": "Test",
+          "input_schema": {},
+          "name": "testFunction",
+        },
+      ]
+    `);
   });
-  expect(result.toolChoice).toEqual({ type: 'tool', name: 'testFunction' });
 });
diff --git a/packages/anthropic/src/anthropic-prepare-tools.ts b/packages/anthropic/src/anthropic-prepare-tools.ts
index 4e9b006e5d95..9248d3534722 100644
--- a/packages/anthropic/src/anthropic-prepare-tools.ts
+++ b/packages/anthropic/src/anthropic-prepare-tools.ts
@@ -4,6 +4,7 @@ import {
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
 import { AnthropicTool, AnthropicToolChoice } from './anthropic-api-types';
+import { getCacheControl } from './get-cache-control';
 import { webSearch_20250305ArgsSchema } from './tool/web-search_20250305';
 
 function isWebSearchTool(
@@ -20,9 +21,11 @@ function isWebSearchTool(
 export function prepareTools({
   tools,
   toolChoice,
+  disableParallelToolUse,
 }: {
   tools: LanguageModelV2CallOptions['tools'];
   toolChoice?: LanguageModelV2CallOptions['toolChoice'];
+  disableParallelToolUse?: boolean;
 }): {
   tools: Array<AnthropicTool> | undefined;
   toolChoice: AnthropicToolChoice | undefined;
@@ -50,10 +53,13 @@ export function prepareTools({
 
     switch (tool.type) {
       case 'function':
+        const cacheControl = getCacheControl(tool.providerOptions);
+
         anthropicTools.push({
           name: tool.name,
           description: tool.description,
           input_schema: tool.inputSchema,
+          cache_control: cacheControl,
         });
         break;
       case 'provider-defined':
@@ -92,6 +98,13 @@ export function prepareTools({
               type: 'text_editor_20241022',
             });
             break;
+          case 'anthropic.text_editor_20250429':
+            betas.add('computer-use-2025-01-24');
+            anthropicTools.push({
+              name: 'str_replace_based_edit_tool',
+              type: 'text_editor_20250429',
+            });
+            break;
           case 'anthropic.bash_20250124':
             betas.add('computer-use-2025-01-24');
             anthropicTools.push({
@@ -132,7 +145,9 @@ export function prepareTools({
   if (toolChoice == null) {
     return {
       tools: anthropicTools,
-      toolChoice: undefined,
+      toolChoice: disableParallelToolUse
+        ? { type: 'auto', disable_parallel_tool_use: disableParallelToolUse }
+        : undefined,
       toolWarnings,
       betas,
     };
@@ -144,14 +159,20 @@ export function prepareTools({
     case 'auto':
       return {
         tools: anthropicTools,
-        toolChoice: { type: 'auto' },
+        toolChoice: {
+          type: 'auto',
+          disable_parallel_tool_use: disableParallelToolUse,
+        },
         toolWarnings,
         betas,
       };
     case 'required':
       return {
         tools: anthropicTools,
-        toolChoice: { type: 'any' },
+        toolChoice: {
+          type: 'any',
+          disable_parallel_tool_use: disableParallelToolUse,
+        },
         toolWarnings,
         betas,
       };
@@ -161,7 +182,11 @@ export function prepareTools({
     case 'tool':
       return {
         tools: anthropicTools,
-        toolChoice: { type: 'tool', name: toolChoice.toolName },
+        toolChoice: {
+          type: 'tool',
+          name: toolChoice.toolName,
+          disable_parallel_tool_use: disableParallelToolUse,
+        },
         toolWarnings,
         betas,
       };
diff --git a/packages/anthropic/src/anthropic-tools.ts b/packages/anthropic/src/anthropic-tools.ts
index d3f845cc3f16..a2e3ec46d2c8 100644
--- a/packages/anthropic/src/anthropic-tools.ts
+++ b/packages/anthropic/src/anthropic-tools.ts
@@ -4,6 +4,7 @@ import { computer_20241022 } from './tool/computer_20241022';
 import { computer_20250124 } from './tool/computer_20250124';
 import { textEditor_20241022 } from './tool/text-editor_20241022';
 import { textEditor_20250124 } from './tool/text-editor_20250124';
+import { textEditor_20250429 } from './tool/text-editor_20250429';
 import { webSearch_20250305 } from './tool/web-search_20250305';
 
 export const anthropicTools = {
@@ -35,6 +36,12 @@ export const anthropicTools = {
    */
   textEditor_20250124,
 
+  /**
+   * Creates a tool for editing text. Must have name "str_replace_based_edit_tool".
+   * Note: This version does not support the "undo_edit" command.
+   */
+  textEditor_20250429,
+
   /**
    * Creates a tool for executing actions on a computer. Must have name "computer".
    *
diff --git a/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts b/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
index 435334532579..46c2c6dd7908 100644
--- a/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
+++ b/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
@@ -6,16 +6,16 @@ import {
   SharedV2ProviderMetadata,
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
+import { convertToBase64, parseProviderOptions } from '@ai-sdk/provider-utils';
 import {
   AnthropicAssistantMessage,
-  AnthropicCacheControl,
   AnthropicMessagesPrompt,
   AnthropicToolResultContent,
   AnthropicUserMessage,
 } from './anthropic-api-types';
-import { convertToBase64, parseProviderOptions } from '@ai-sdk/provider-utils';
 import { anthropicReasoningMetadataSchema } from './anthropic-messages-language-model';
 import { anthropicFilePartProviderOptions } from './anthropic-messages-options';
+import { getCacheControl } from './get-cache-control';
 import { webSearch_20250305OutputSchema } from './tool/web-search_20250305';
 
 function convertToString(data: LanguageModelV2DataContent): string {
@@ -56,20 +56,6 @@ export async function convertToAnthropicMessagesPrompt({
   let system: AnthropicMessagesPrompt['system'] = undefined;
   const messages: AnthropicMessagesPrompt['messages'] = [];
 
-  function getCacheControl(
-    providerMetadata: SharedV2ProviderMetadata | undefined,
-  ): AnthropicCacheControl | undefined {
-    const anthropic = providerMetadata?.anthropic;
-
-    // allow both cacheControl and cache_control:
-    const cacheControlValue =
-      anthropic?.cacheControl ?? anthropic?.cache_control;
-
-    // Pass through value assuming it is of the correct type.
-    // The Anthropic API will validate the value.
-    return cacheControlValue as AnthropicCacheControl | undefined;
-  }
-
   async function shouldEnableCitations(
     providerMetadata: SharedV2ProviderMetadata | undefined,
   ): Promise<boolean> {
diff --git a/packages/anthropic/src/get-cache-control.ts b/packages/anthropic/src/get-cache-control.ts
new file mode 100644
index 000000000000..36fc374df284
--- /dev/null
+++ b/packages/anthropic/src/get-cache-control.ts
@@ -0,0 +1,15 @@
+import { SharedV2ProviderMetadata } from '@ai-sdk/provider';
+import { AnthropicCacheControl } from './anthropic-api-types';
+
+export function getCacheControl(
+  providerMetadata: SharedV2ProviderMetadata | undefined,
+): AnthropicCacheControl | undefined {
+  const anthropic = providerMetadata?.anthropic;
+
+  // allow both cacheControl and cache_control:
+  const cacheControlValue = anthropic?.cacheControl ?? anthropic?.cache_control;
+
+  // Pass through value assuming it is of the correct type.
+  // The Anthropic API will validate the value.
+  return cacheControlValue as AnthropicCacheControl | undefined;
+}
diff --git a/packages/anthropic/src/tool/text-editor_20250429.ts b/packages/anthropic/src/tool/text-editor_20250429.ts
new file mode 100644
index 000000000000..79aa6d797cd5
--- /dev/null
+++ b/packages/anthropic/src/tool/text-editor_20250429.ts
@@ -0,0 +1,55 @@
+import { createProviderDefinedToolFactory } from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+
+export const textEditor_20250429 = createProviderDefinedToolFactory<
+  {
+    /**
+     * The commands to run. Allowed options are: `view`, `create`, `str_replace`, `insert`.
+     * Note: `undo_edit` is not supported in Claude 4 models.
+     */
+    command: 'view' | 'create' | 'str_replace' | 'insert';
+
+    /**
+     * Absolute path to file or directory, e.g. `/repo/file.py` or `/repo`.
+     */
+    path: string;
+
+    /**
+     * Required parameter of `create` command, with the content of the file to be created.
+     */
+    file_text?: string;
+
+    /**
+     * Required parameter of `insert` command. The `new_str` will be inserted AFTER the line `insert_line` of `path`.
+     */
+    insert_line?: number;
+
+    /**
+     * Optional parameter of `str_replace` command containing the new string (if not given, no string will be added). Required parameter of `insert` command containing the string to insert.
+     */
+    new_str?: string;
+
+    /**
+     * Required parameter of `str_replace` command containing the string in `path` to replace.
+     */
+    old_str?: string;
+
+    /**
+     * Optional parameter of `view` command when `path` points to a file. If none is given, the full file is shown. If provided, the file will be shown in the indicated line number range, e.g. [11, 12] will show lines 11 and 12. Indexing at 1 to start. Setting `[start_line, -1]` shows all lines from `start_line` to the end of the file.
+     */
+    view_range?: number[];
+  },
+  {}
+>({
+  id: 'anthropic.text_editor_20250429',
+  name: 'str_replace_based_edit_tool',
+  inputSchema: z.object({
+    command: z.enum(['view', 'create', 'str_replace', 'insert']),
+    path: z.string(),
+    file_text: z.string().optional(),
+    insert_line: z.number().int().optional(),
+    new_str: z.string().optional(),
+    old_str: z.string().optional(),
+    view_range: z.array(z.number().int()).optional(),
+  }),
+});
diff --git a/packages/assemblyai/CHANGELOG.md b/packages/assemblyai/CHANGELOG.md
index 0a6b565661f7..87447d91fd1e 100644
--- a/packages/assemblyai/CHANGELOG.md
+++ b/packages/assemblyai/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/assemblyai
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/assemblyai/package.json b/packages/assemblyai/package.json
index 3df9a27da6a1..ddfc6c9fce8d 100644
--- a/packages/assemblyai/package.json
+++ b/packages/assemblyai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/assemblyai",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/azure/CHANGELOG.md b/packages/azure/CHANGELOG.md
index 920ffbc593dc..191263fd10a8 100644
--- a/packages/azure/CHANGELOG.md
+++ b/packages/azure/CHANGELOG.md
@@ -1,5 +1,83 @@
 # @ai-sdk/azure
 
+## 2.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [d521cda]
+- Updated dependencies [0059ee2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai@2.0.0-beta.12
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- 3db5258: update: Azure OpenAI provider to v1 API format
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai@2.0.0-beta.11
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [0fa7414]
+- Updated dependencies [205077b]
+  - @ai-sdk/openai@2.0.0-beta.10
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [faea29f]
+  - @ai-sdk/openai@2.0.0-beta.9
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai@2.0.0-beta.8
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [209256d]
+  - @ai-sdk/openai@2.0.0-beta.7
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [0eee6a8]
+- Updated dependencies [b5a0e32]
+- Updated dependencies [c7d3b2e]
+  - @ai-sdk/openai@2.0.0-beta.6
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [48249c4]
+- Updated dependencies [e497698]
+  - @ai-sdk/openai@2.0.0-beta.5
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [b3c3450]
+- Updated dependencies [ad2a3d5]
+  - @ai-sdk/openai@2.0.0-beta.4
+
 ## 2.0.0-beta.3
 
 ### Patch Changes
diff --git a/packages/azure/package.json b/packages/azure/package.json
index 0c63f07fe39d..616a0fa71f30 100644
--- a/packages/azure/package.json
+++ b/packages/azure/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/azure",
-  "version": "2.0.0-beta.3",
+  "version": "2.0.0-beta.12",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/azure/src/azure-openai-provider.test.ts b/packages/azure/src/azure-openai-provider.test.ts
index 5095e75f9c49..970b1820e8b7 100644
--- a/packages/azure/src/azure-openai-provider.test.ts
+++ b/packages/azure/src/azure-openai-provider.test.ts
@@ -21,22 +21,18 @@ const providerApiVersionChanged = createAzure({
 });
 
 const server = createTestServer({
-  'https://test-resource.openai.azure.com/openai/deployments/test-deployment/chat/completions':
-    {},
-  'https://test-resource.openai.azure.com/openai/deployments/gpt-35-turbo-instruct/completions':
-    {},
-  'https://test-resource.openai.azure.com/openai/deployments/my-embedding/embeddings':
-    {},
-  'https://test-resource.openai.azure.com/openai/deployments/dalle-deployment/images/generations':
-    {},
-  'https://test-resource.openai.azure.com/openai/responses': {},
+  'https://test-resource.openai.azure.com/openai/v1/chat/completions': {},
+  'https://test-resource.openai.azure.com/openai/v1/completions': {},
+  'https://test-resource.openai.azure.com/openai/v1/embeddings': {},
+  'https://test-resource.openai.azure.com/openai/v1/images/generations': {},
+  'https://test-resource.openai.azure.com/openai/v1/responses': {},
 });
 
 describe('chat', () => {
   describe('doGenerate', () => {
     function prepareJsonResponse({ content = '' }: { content?: string } = {}) {
       server.urls[
-        'https://test-resource.openai.azure.com/openai/deployments/test-deployment/chat/completions'
+        'https://test-resource.openai.azure.com/openai/v1/chat/completions'
       ].response = {
         type: 'json-value',
         body: {
@@ -73,7 +69,7 @@ describe('chat', () => {
 
       expect(
         server.calls[0].requestUrlSearchParams.get('api-version'),
-      ).toStrictEqual('2025-03-01-preview');
+      ).toStrictEqual('preview');
     });
 
     it('should set the correct modified api version', async () => {
@@ -118,7 +114,7 @@ describe('chat', () => {
       prepareJsonResponse();
 
       const provider = createAzure({
-        baseURL: 'https://test-resource.openai.azure.com/openai/deployments',
+        baseURL: 'https://test-resource.openai.azure.com/openai',
         apiKey: 'test-api-key',
       });
 
@@ -126,7 +122,7 @@ describe('chat', () => {
         prompt: TEST_PROMPT,
       });
       expect(server.calls[0].requestUrl).toStrictEqual(
-        'https://test-resource.openai.azure.com/openai/deployments/test-deployment/chat/completions?api-version=2025-03-01-preview',
+        'https://test-resource.openai.azure.com/openai/v1/chat/completions?api-version=preview',
       );
     });
   });
@@ -152,7 +148,7 @@ describe('completion', () => {
       finish_reason?: string;
     }) {
       server.urls[
-        'https://test-resource.openai.azure.com/openai/deployments/gpt-35-turbo-instruct/completions'
+        'https://test-resource.openai.azure.com/openai/v1/completions'
       ].response = {
         type: 'json-value',
         body: {
@@ -180,7 +176,7 @@ describe('completion', () => {
       });
       expect(
         server.calls[0].requestUrlSearchParams.get('api-version'),
-      ).toStrictEqual('2025-03-01-preview');
+      ).toStrictEqual('preview');
     });
 
     it('should pass headers', async () => {
@@ -227,7 +223,7 @@ describe('embedding', () => {
       embeddings?: EmbeddingModelV2Embedding[];
     } = {}) {
       server.urls[
-        'https://test-resource.openai.azure.com/openai/deployments/my-embedding/embeddings'
+        'https://test-resource.openai.azure.com/openai/v1/embeddings'
       ].response = {
         type: 'json-value',
         body: {
@@ -251,7 +247,7 @@ describe('embedding', () => {
       });
       expect(
         server.calls[0].requestUrlSearchParams.get('api-version'),
-      ).toStrictEqual('2025-03-01-preview');
+      ).toStrictEqual('preview');
     });
 
     it('should pass headers', async () => {
@@ -288,7 +284,7 @@ describe('image', () => {
   describe('doGenerate', () => {
     function prepareJsonResponse() {
       server.urls[
-        'https://test-resource.openai.azure.com/openai/deployments/dalle-deployment/images/generations'
+        'https://test-resource.openai.azure.com/openai/v1/images/generations'
       ].response = {
         type: 'json-value',
         body: {
@@ -321,7 +317,7 @@ describe('image', () => {
 
       expect(
         server.calls[0].requestUrlSearchParams.get('api-version'),
-      ).toStrictEqual('2025-03-01-preview');
+      ).toStrictEqual('preview');
     });
 
     it('should set the correct modified api version', async () => {
@@ -378,7 +374,7 @@ describe('image', () => {
       prepareJsonResponse();
 
       const provider = createAzure({
-        baseURL: 'https://test-resource.openai.azure.com/openai/deployments',
+        baseURL: 'https://test-resource.openai.azure.com/openai',
         apiKey: 'test-api-key',
       });
 
@@ -392,7 +388,7 @@ describe('image', () => {
       });
 
       expect(server.calls[0].requestUrl).toStrictEqual(
-        'https://test-resource.openai.azure.com/openai/deployments/dalle-deployment/images/generations?api-version=2025-03-01-preview',
+        'https://test-resource.openai.azure.com/openai/v1/images/generations?api-version=preview',
       );
     });
 
@@ -456,7 +452,7 @@ describe('responses', () => {
       },
     } = {}) {
       server.urls[
-        'https://test-resource.openai.azure.com/openai/responses'
+        'https://test-resource.openai.azure.com/openai/v1/responses'
       ].response = {
         type: 'json-value',
         body: {
@@ -495,7 +491,7 @@ describe('responses', () => {
 
       expect(
         server.calls[0].requestUrlSearchParams.get('api-version'),
-      ).toStrictEqual('2025-03-01-preview');
+      ).toStrictEqual('preview');
     });
 
     it('should pass headers', async () => {
@@ -537,7 +533,7 @@ describe('responses', () => {
       });
 
       expect(server.calls[0].requestUrl).toStrictEqual(
-        'https://test-resource.openai.azure.com/openai/responses?api-version=2025-03-01-preview',
+        'https://test-resource.openai.azure.com/openai/v1/responses?api-version=preview',
       );
     });
   });
diff --git a/packages/azure/src/azure-openai-provider.ts b/packages/azure/src/azure-openai-provider.ts
index 6111254c0e46..37d7f0c37805 100644
--- a/packages/azure/src/azure-openai-provider.ts
+++ b/packages/azure/src/azure-openai-provider.ts
@@ -74,7 +74,7 @@ export interface AzureOpenAIProviderSettings {
   /**
 Name of the Azure OpenAI resource. Either this or `baseURL` can be used.
 
-The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/deployments/{modelId}{path}`.
+The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.
      */
   resourceName?: string;
 
@@ -82,7 +82,7 @@ The resource name is used in the assembled URL: `https://{resourceName}.openai.a
 Use a different URL prefix for API calls, e.g. to use proxy servers. Either this or `resourceName` can be used.
 When a baseURL is provided, the resourceName is ignored.
 
-With a baseURL, the resolved URL is `{baseURL}/{modelId}{path}`.
+With a baseURL, the resolved URL is `{baseURL}/v1{path}`.
    */
   baseURL?: string;
 
@@ -103,7 +103,7 @@ or to provide a custom fetch implementation for e.g. testing.
   fetch?: FetchFunction;
 
   /**
-Custom api version to use. Defaults to `2024-10-01-preview`.
+Custom api version to use. Defaults to `preview`.
     */
   apiVersion?: string;
 }
@@ -131,18 +131,15 @@ export function createAzure(
       description: 'Azure OpenAI resource name',
     });
 
-  const apiVersion = options.apiVersion ?? '2025-03-01-preview';
-  const url = ({ path, modelId }: { path: string; modelId: string }) => {
-    if (path === '/responses') {
-      return options.baseURL
-        ? `${options.baseURL}${path}?api-version=${apiVersion}`
-        : `https://${getResourceName()}.openai.azure.com/openai/responses?api-version=${apiVersion}`;
-    }
+  const apiVersion = options.apiVersion ?? 'preview';
 
-    // Default URL format for other endpoints
-    return options.baseURL
-      ? `${options.baseURL}/${modelId}${path}?api-version=${apiVersion}`
-      : `https://${getResourceName()}.openai.azure.com/openai/deployments/${modelId}${path}?api-version=${apiVersion}`;
+  const url = ({ path, modelId }: { path: string; modelId: string }) => {
+    const baseUrlPrefix =
+      options.baseURL ?? `https://${getResourceName()}.openai.azure.com/openai`;
+    // Use v1 API format - no deployment ID in URL
+    const fullUrl = new URL(`${baseUrlPrefix}/v1${path}`);
+    fullUrl.searchParams.set('api-version', apiVersion);
+    return fullUrl.toString();
   };
 
   const createChatModel = (deploymentName: string) =>
diff --git a/packages/cerebras/CHANGELOG.md b/packages/cerebras/CHANGELOG.md
index 2cc5850af31a..c4eae6d667ee 100644
--- a/packages/cerebras/CHANGELOG.md
+++ b/packages/cerebras/CHANGELOG.md
@@ -1,5 +1,61 @@
 # @ai-sdk/cerebras
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/cerebras/package.json b/packages/cerebras/package.json
index 86179f5e0d87..dd99337d50b3 100644
--- a/packages/cerebras/package.json
+++ b/packages/cerebras/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/cerebras",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/codemod/CHANGELOG.md b/packages/codemod/CHANGELOG.md
index dfa4b4633f27..dbc95bdd06f7 100644
--- a/packages/codemod/CHANGELOG.md
+++ b/packages/codemod/CHANGELOG.md
@@ -1,5 +1,29 @@
 # @ai-sdk/codemod
 
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- df983e6: feat(codemods): added v4→v5 migration codemods
+
+## 2.0.0-beta.3
+
+### Patch Changes
+
+- 4726e71: fix(codemod): correct import-LanguageModelV2-from-provider-package direction and quote preservation
+
+## 2.0.0-beta.2
+
+### Patch Changes
+
+- 4e01854: v5 - AI SDK 5.0 codemods package
+
+## 2.0.0-beta.1
+
+### Patch Changes
+
+- b0446d4: release AI SDK 5.0 codemods package
+
 ## 2.0.0-canary.0
 
 ### Major Changes
diff --git a/packages/codemod/README.md b/packages/codemod/README.md
index 55cfdd4f3574..f409ce91971f 100644
--- a/packages/codemod/README.md
+++ b/packages/codemod/README.md
@@ -1,19 +1,237 @@
 # AI SDK Codemods
 
-The AI SDK provides Codemod transformations to help upgrade your codebase when a feature is deprecated, removed, or otherwise changed.
+The AI SDK provides automated code transformations (codemods) to help upgrade your codebase when features are deprecated, removed, or changed between versions.
 
-Codemods are transformations that run on your codebase programmatically. They allow you to easily apply many changes without having to manually go through every file.
+Codemods are transformations that run on your codebase programmatically, allowing you to easily apply many changes without manually editing every file.
 
-You can run all codemods by running the following command from the root of your project:
+## Quick Start
+
+### Run All Codemods (Recommended)
+
+To run all codemods:
 
 ```sh
 npx @ai-sdk/codemod upgrade
 ```
 
-Individual codemods can be run by specifying the name of the codemod:
+This will automatically detect and transform all applicable code patterns in your project.
+
+### Run Version-Specific Codemods
+
+To run codemods for a specific version:
+
+```sh
+npx @ai-sdk/codemod v4
+
+npx @ai-sdk/codemod v5
+
+npx @ai-sdk/codemod upgrade
+```
+
+### Run Individual Codemods
+
+To run a specific codemod:
 
 ```sh
 npx @ai-sdk/codemod <codemod-name> <path>
 ```
 
-The latest set of codemods can be found in the [`@ai-sdk/codemod`](https://github.com/vercel/ai/tree/main/packages/codemod/src/codemods) repository.
+Examples:
+
+```sh
+# Transform a specific file
+npx @ai-sdk/codemod v4/remove-experimental-ai-fn-exports src/app/api/chat/route.ts
+
+# Transform a directory
+npx @ai-sdk/codemod v4/replace-baseurl src/lib/
+
+# Transform entire project
+npx @ai-sdk/codemod v5/rename-format-stream-part .
+```
+
+## Available Codemods
+
+### v4 Codemods (v3 → v4 Migration)
+
+| Codemod                                               | Description                                                    |
+| ----------------------------------------------------- | -------------------------------------------------------------- |
+| `v4/remove-ai-stream-methods-from-stream-text-result` | Transforms v4/remove ai stream methods from stream text result |
+| `v4/remove-anthropic-facade`                          | Transforms v4/remove anthropic facade                          |
+| `v4/remove-await-streamobject`                        | Transforms v4/remove await streamobject                        |
+| `v4/remove-await-streamtext`                          | Transforms v4/remove await streamtext                          |
+| `v4/remove-deprecated-provider-registry-exports`      | Transforms v4/remove deprecated provider registry exports      |
+| `v4/remove-experimental-ai-fn-exports`                | Transforms v4/remove experimental ai fn exports                |
+| `v4/remove-experimental-message-types`                | Transforms v4/remove experimental message types                |
+| `v4/remove-experimental-streamdata`                   | Transforms v4/remove experimental streamdata                   |
+| `v4/remove-experimental-tool`                         | Transforms v4/remove experimental tool                         |
+| `v4/remove-experimental-useassistant`                 | Transforms v4/remove experimental useassistant                 |
+| `v4/remove-google-facade`                             | Transforms v4/remove google facade                             |
+| `v4/remove-isxxxerror`                                | Transforms v4/remove isxxxerror                                |
+| `v4/remove-metadata-with-headers`                     | Transforms v4/remove metadata with headers                     |
+| `v4/remove-mistral-facade`                            | Transforms v4/remove mistral facade                            |
+| `v4/remove-openai-facade`                             | Transforms v4/remove openai facade                             |
+| `v4/rename-format-stream-part`                        | Transforms v4/rename format stream part                        |
+| `v4/rename-parse-stream-part`                         | Transforms v4/rename parse stream part                         |
+| `v4/replace-baseurl`                                  | Transforms v4/replace baseurl                                  |
+| `v4/replace-continuation-steps`                       | Transforms v4/replace continuation steps                       |
+| `v4/replace-langchain-toaistream`                     | Transforms v4/replace langchain toaistream                     |
+| `v4/replace-nanoid`                                   | Transforms v4/replace nanoid                                   |
+| `v4/replace-roundtrips-with-maxsteps`                 | Transforms v4/replace roundtrips with maxsteps                 |
+| `v4/replace-token-usage-types`                        | Transforms v4/replace token usage types                        |
+| `v4/rewrite-framework-imports`                        | Transforms v4/rewrite framework imports                        |
+
+### v5 Codemods (v4 → v5 Migration)
+
+| Codemod                                                               | Description                                                                    |
+| --------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
+| `v5/flatten-streamtext-file-properties`                               | Transforms v5/flatten streamtext file properties                               |
+| `v5/import-LanguageModelV2-from-provider-package`                     | Transforms v5/import LanguageModelV2 from provider package                     |
+| `v5/migrate-to-data-stream-protocol-v2`                               | Transforms v5/migrate to data stream protocol v2                               |
+| `v5/move-image-model-maxImagesPerCall`                                | Transforms v5/move image model maxImagesPerCall                                |
+| `v5/move-langchain-adapter`                                           | Transforms v5/move langchain adapter                                           |
+| `v5/move-provider-options`                                            | Transforms v5/move provider options                                            |
+| `v5/move-react-to-ai-sdk`                                             | Transforms v5/move react to ai sdk                                             |
+| `v5/move-ui-utils-to-ai`                                              | Transforms v5/move ui utils to ai                                              |
+| `v5/remove-experimental-wrap-language-model`                          | Transforms v5/remove experimental wrap language model                          |
+| `v5/remove-get-ui-text`                                               | Transforms v5/remove get ui text                                               |
+| `v5/remove-openai-compatibility`                                      | Transforms v5/remove openai compatibility                                      |
+| `v5/remove-sendExtraMessageFields`                                    | Transforms v5/remove sendExtraMessageFields                                    |
+| `v5/rename-converttocoremessages-to-converttomodelmessages`           | Transforms v5/rename converttocoremessages to converttomodelmessages           |
+| `v5/rename-core-message-to-model-message`                             | Transforms v5/rename core message to model message                             |
+| `v5/rename-datastream-transform-stream`                               | Transforms v5/rename datastream transform stream                               |
+| `v5/rename-languagemodelv1providermetadata`                           | Transforms v5/rename languagemodelv1providermetadata                           |
+| `v5/rename-max-tokens-to-max-output-tokens`                           | Transforms v5/rename max tokens to max output tokens                           |
+| `v5/rename-message-to-ui-message`                                     | Transforms v5/rename message to ui message                                     |
+| `v5/rename-mime-type-to-media-type`                                   | Transforms v5/rename mime type to media type                                   |
+| `v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse` | Transforms v5/rename pipedatastreamtoresponse to pipeuimessagestreamtoresponse |
+| `v5/rename-reasoning-properties`                                      | Transforms v5/rename reasoning properties                                      |
+| `v5/rename-reasoning-to-reasoningText`                                | Transforms v5/rename reasoning to reasoningText                                |
+| `v5/rename-request-options`                                           | Transforms v5/rename request options                                           |
+| `v5/rename-todatastreamresponse-to-touimessagestreamresponse`         | Transforms v5/rename todatastreamresponse to touimessagestreamresponse         |
+| `v5/rename-tool-parameters-to-inputschema`                            | Transforms v5/rename tool parameters to inputschema                            |
+| `v5/replace-bedrock-snake-case`                                       | Transforms v5/replace bedrock snake case                                       |
+| `v5/replace-content-with-parts`                                       | Transforms v5/replace content with parts                                       |
+| `v5/replace-experimental-provider-metadata`                           | Transforms v5/replace experimental provider metadata                           |
+| `v5/replace-generatetext-text-property`                               | Transforms v5/replace generatetext text property                               |
+| `v5/replace-image-type-with-file-type`                                | Transforms v5/replace image type with file type                                |
+| `v5/replace-llamaindex-adapter`                                       | Transforms v5/replace llamaindex adapter                                       |
+| `v5/replace-oncompletion-with-onfinal`                                | Transforms v5/replace oncompletion with onfinal                                |
+| `v5/replace-provider-metadata-with-provider-options`                  | Transforms v5/replace provider metadata with provider options                  |
+| `v5/replace-rawresponse-with-response`                                | Transforms v5/replace rawresponse with response                                |
+| `v5/replace-redacted-reasoning-type`                                  | Transforms v5/replace redacted reasoning type                                  |
+| `v5/replace-simulate-streaming`                                       | Transforms v5/replace simulate streaming                                       |
+| `v5/replace-textdelta-with-text`                                      | Transforms v5/replace textdelta with text                                      |
+| `v5/replace-usage-token-properties`                                   | Transforms v5/replace usage token properties                                   |
+| `v5/restructure-file-stream-parts`                                    | Transforms v5/restructure file stream parts                                    |
+| `v5/restructure-source-stream-parts`                                  | Transforms v5/restructure source stream parts                                  |
+| `v5/rsc-package`                                                      | Transforms v5/rsc package                                                      |
+
+## CLI Options
+
+### Commands
+
+```sh
+npx @ai-sdk/codemod@beta <command> [options]
+```
+
+**Available Commands:**
+
+- `upgrade` - Apply all codemods (v4 + v5)
+- `v4` - Apply v4 codemods (v3 → v4 migration)
+- `v5` - Apply v5 codemods (v4 → v5 migration)
+- `<codemod-name> <path>` - Apply specific codemod
+
+### Global Options
+
+- `--dry` - Preview changes without applying them
+- `--print` - Print transformed code to stdout
+- `--verbose` - Show detailed transformation logs
+
+### Examples
+
+```sh
+# Preview all changes without applying
+npx @ai-sdk/codemod@beta --dry upgrade
+
+# Preview v4 changes only
+npx @ai-sdk/codemod@beta --dry v4
+
+# Preview v5 changes only
+npx @ai-sdk/codemod@beta --dry v5
+
+# Show verbose output for specific codemod
+npx @ai-sdk/codemod@beta --verbose v4/remove-experimental-ai-fn-exports src/
+
+# Print transformed code for specific codemod
+npx @ai-sdk/codemod@beta --print v4/replace-baseurl src/config.ts
+```
+
+## Best Practices
+
+### Before Running Codemods
+
+1. **Backup your code** - Commit all changes to version control
+2. **Review current deprecation warnings** - Fix any obvious issues first
+3. **Update dependencies** - Ensure you're on the target AI SDK version
+
+### After Running Codemods
+
+1. **Review changes** - Check the diff to understand what was transformed
+2. **Test your application** - Ensure everything works as expected
+3. **Handle edge cases** - Some complex patterns may need manual fixes
+4. **Run type checking** - Fix any TypeScript errors that remain
+
+### Troubleshooting
+
+If a codemod doesn't transform some code:
+
+1. **Check file extensions** - Codemods work on `.ts`, `.tsx`, `.js`, `.jsx` files
+2. **Review patterns** - Complex or unusual code patterns may need manual updates
+3. **Run specific codemods** - Try running individual codemods for targeted fixes
+4. **Check documentation** - Some changes may not have automated codemods
+
+## Contributing
+
+### Adding New Codemods
+
+1. Create the codemod in `src/codemods/`
+2. Add test fixtures in `src/test/__testfixtures__/`
+3. Create tests in `src/test/`
+4. Update the bundle in `src/lib/upgrade.ts`
+
+### Testing Codemods
+
+First, navigate to the codemod directory:
+
+```sh
+cd packages/codemod
+```
+
+Then run the tests:
+
+```sh
+# Run all tests
+pnpm test
+
+# Run specific codemod tests
+pnpm test <codemod-name>
+
+# Test in development
+pnpm test:watch
+```
+
+## Support
+
+- **Documentation**: [AI SDK Migration Guides](https://ai-sdk.dev/docs/migration-guides)
+- **Issues**: [GitHub Issues](https://github.com/vercel/ai/issues)
+- **Community**: [Discord](https://discord.gg/vercel)
+
+## Version Compatibility
+
+- **AI SDK 5.0**: All codemods in this package
+- **AI SDK 4.x**: Use `@ai-sdk/codemod@1.x`
+- **AI SDK 3.x**: Manual migration required
+
+---
+
+For more detailed migration information, see the [AI SDK 5.0 Migration Guide](https://ai-sdk.dev/docs/migration-guides/migration-guide-5-0).
diff --git a/packages/codemod/package.json b/packages/codemod/package.json
index f46ce0799021..c9b65a506432 100644
--- a/packages/codemod/package.json
+++ b/packages/codemod/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/codemod",
-  "version": "2.0.0-beta.0",
+  "version": "2.0.0-beta.4",
   "license": "Apache-2.0",
   "sideEffects": false,
   "files": [
@@ -8,7 +8,7 @@
     "CHANGELOG.md"
   ],
   "scripts": {
-    "build": "pnpm clean && tsup --tsconfig tsconfig.build.json",
+    "build": "pnpm generate-readme && prettier --write \"README.md\" && pnpm clean && tsup --tsconfig tsconfig.build.json",
     "clean": "rm -rf dist *.tsbuildinfo",
     "dev": "tsup --watch",
     "lint": "eslint \"./**/*.ts*\"",
@@ -16,7 +16,8 @@
     "prettier-check": "prettier --check \"./**/*.ts*\"",
     "test": "vitest --config vitest.config.ts --run",
     "test:watch": "vitest",
-    "scaffold": "tsx scripts/scaffold-codemod.ts"
+    "scaffold": "tsx scripts/scaffold-codemod.ts",
+    "generate-readme": "tsx scripts/generate-readme.ts"
   },
   "devDependencies": {
     "ai": "workspace:*",
diff --git a/packages/codemod/scripts/generate-readme.ts b/packages/codemod/scripts/generate-readme.ts
new file mode 100644
index 000000000000..53ac17cf94da
--- /dev/null
+++ b/packages/codemod/scripts/generate-readme.ts
@@ -0,0 +1,139 @@
+import fs from 'fs';
+import path from 'path';
+
+// Read actual codemod files from the filesystem
+const codemodsDir = path.join(process.cwd(), 'src', 'codemods');
+
+if (!fs.existsSync(codemodsDir)) {
+  throw new Error(`Codemods directory not found: ${codemodsDir}`);
+}
+
+function scanCodemodsRecursively(dir: string, prefix: string = ''): string[] {
+  const files: string[] = [];
+  const items = fs.readdirSync(dir);
+
+  for (const item of items) {
+    const itemPath = path.join(dir, item);
+    const stat = fs.statSync(itemPath);
+
+    if (stat.isDirectory() && item !== 'lib') {
+      files.push(...scanCodemodsRecursively(itemPath, prefix + item + '/'));
+    } else if (
+      stat.isFile() &&
+      item.endsWith('.ts') &&
+      !item.includes('lib/')
+    ) {
+      files.push(prefix + item.replace('.ts', ''));
+    }
+  }
+
+  return files;
+}
+
+const codemodFiles = scanCodemodsRecursively(codemodsDir).sort();
+
+function generateDescription(name: string): string {
+  const readable = name.replace(/-/g, ' ');
+
+  if (name.startsWith('remove-')) {
+    return `Removes ${readable.replace('remove ', '')}`;
+  }
+
+  if (name.startsWith('replace-')) {
+    return `Replaces ${readable.replace('replace ', '')}`;
+  }
+
+  if (name.startsWith('rename-')) {
+    return `Renames ${readable.replace('rename ', '')}`;
+  }
+
+  if (name.startsWith('rewrite-')) {
+    return `Rewrites ${readable.replace('rewrite ', '')}`;
+  }
+
+  return `Transforms ${readable}`;
+}
+
+function categorizeCodemod(name: string): string {
+  if (name.startsWith('v4/')) {
+    return 'v4 Codemods (v3 → v4 Migration)';
+  }
+
+  if (name.startsWith('v5/')) {
+    return 'v5 Codemods (v4 → v5 Migration)';
+  }
+
+  return 'General Codemods';
+}
+
+const categories: Record<
+  string,
+  Array<{ name: string; description: string }>
+> = {};
+
+codemodFiles.forEach(codemod => {
+  const category = categorizeCodemod(codemod);
+  const description = generateDescription(codemod);
+
+  if (!categories[category]) {
+    categories[category] = [];
+  }
+
+  categories[category].push({ name: codemod, description });
+});
+
+const categoryOrder = [
+  'v4 Codemods (v3 → v4 Migration)',
+  'v5 Codemods (v4 → v5 Migration)',
+  'General Codemods',
+];
+
+function generateCategoryTable(
+  categoryName: string,
+  codemods: Array<{ name: string; description: string }>,
+) {
+  const header = `### ${categoryName}
+
+| Codemod | Description |
+| ------- | ----------- |`;
+
+  const rows = codemods
+    .map(codemod => `| \`${codemod.name}\` | ${codemod.description} |`)
+    .join('\n');
+
+  return `${header}\n${rows}`;
+}
+
+const availableCodemodsSection = `## Available Codemods
+
+${categoryOrder
+  .filter(categoryName => categories[categoryName])
+  .map(categoryName =>
+    generateCategoryTable(categoryName, categories[categoryName]),
+  )
+  .join('\n\n')}`;
+
+const readmePath = path.join(process.cwd(), 'README.md');
+const readmeContent = fs.readFileSync(readmePath, 'utf8');
+
+const startMarker = '## Available Codemods';
+const endMarker = '## CLI Options';
+
+const startIndex = readmeContent.indexOf(startMarker);
+const endIndex = readmeContent.indexOf(endMarker);
+
+if (startIndex === -1 || endIndex === -1) {
+  throw new Error(
+    'Could not find Available Codemods section markers in README.md',
+  );
+}
+
+const newReadmeContent =
+  readmeContent.substring(0, startIndex) +
+  availableCodemodsSection +
+  '\n\n' +
+  readmeContent.substring(endIndex);
+
+fs.writeFileSync(readmePath, newReadmeContent);
+
+console.log('README.md updated with current codemods');
diff --git a/packages/codemod/src/bin/codemod.ts b/packages/codemod/src/bin/codemod.ts
index 4640ce554c28..df2457d00868 100644
--- a/packages/codemod/src/bin/codemod.ts
+++ b/packages/codemod/src/bin/codemod.ts
@@ -3,7 +3,7 @@
 import debug from 'debug';
 import { Command } from 'commander';
 import { transform } from '../lib/transform';
-import { upgrade } from '../lib/upgrade';
+import { upgrade, upgradeV4, upgradeV5 } from '../lib/upgrade';
 import { TransformOptions } from '../lib/transform-options';
 
 const log = debug('codemod');
@@ -41,7 +41,7 @@ addTransformOptions(
 addTransformOptions(
   program
     .command('upgrade')
-    .description('Upgrade ai package dependencies and apply codemods'),
+    .description('Upgrade ai package dependencies and apply all codemods'),
 ).action((options: TransformOptions) => {
   try {
     upgrade(options);
@@ -51,4 +51,26 @@ addTransformOptions(
   }
 });
 
+addTransformOptions(
+  program.command('v4').description('Apply v4 codemods (v3 → v4 migration)'),
+).action((options: TransformOptions) => {
+  try {
+    upgradeV4(options);
+  } catch (err: any) {
+    error(`Error applying v4 codemods: ${err}`);
+    process.exit(1);
+  }
+});
+
+addTransformOptions(
+  program.command('v5').description('Apply v5 codemods (v4 → v5 migration)'),
+).action((options: TransformOptions) => {
+  try {
+    upgradeV5(options);
+  } catch (err: any) {
+    error(`Error applying v5 codemods: ${err}`);
+    process.exit(1);
+  }
+});
+
 program.parse(process.argv);
diff --git a/packages/codemod/src/codemods/remove-await-streamobject.ts b/packages/codemod/src/codemods/remove-await-streamobject.ts
deleted file mode 100644
index 78f508bab305..000000000000
--- a/packages/codemod/src/codemods/remove-await-streamobject.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { removeAwaitFn } from './lib/remove-await-fn';
-
-export default removeAwaitFn('streamObject');
diff --git a/packages/codemod/src/codemods/remove-await-streamtext.ts b/packages/codemod/src/codemods/remove-await-streamtext.ts
deleted file mode 100644
index bc1804408bcd..000000000000
--- a/packages/codemod/src/codemods/remove-await-streamtext.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { removeAwaitFn } from './lib/remove-await-fn';
-
-export default removeAwaitFn('streamText');
diff --git a/packages/codemod/src/codemods/remove-ai-stream-methods-from-stream-text-result.ts b/packages/codemod/src/codemods/v4/remove-ai-stream-methods-from-stream-text-result.ts
similarity index 95%
rename from packages/codemod/src/codemods/remove-ai-stream-methods-from-stream-text-result.ts
rename to packages/codemod/src/codemods/v4/remove-ai-stream-methods-from-stream-text-result.ts
index 0baa5b84481d..2eea05043c7b 100644
--- a/packages/codemod/src/codemods/remove-ai-stream-methods-from-stream-text-result.ts
+++ b/packages/codemod/src/codemods/v4/remove-ai-stream-methods-from-stream-text-result.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 const REMOVED_METHODS = [
   'toAIStream',
diff --git a/packages/codemod/src/codemods/remove-anthropic-facade.ts b/packages/codemod/src/codemods/v4/remove-anthropic-facade.ts
similarity index 70%
rename from packages/codemod/src/codemods/remove-anthropic-facade.ts
rename to packages/codemod/src/codemods/v4/remove-anthropic-facade.ts
index 6cb59cabeaca..325550cf9cad 100644
--- a/packages/codemod/src/codemods/remove-anthropic-facade.ts
+++ b/packages/codemod/src/codemods/v4/remove-anthropic-facade.ts
@@ -1,4 +1,4 @@
-import { removeFacade } from './lib/remove-facade';
+import { removeFacade } from '../lib/remove-facade';
 
 export default removeFacade({
   packageName: 'anthropic',
diff --git a/packages/codemod/src/codemods/v4/remove-await-streamobject.ts b/packages/codemod/src/codemods/v4/remove-await-streamobject.ts
new file mode 100644
index 000000000000..5e791c0f050d
--- /dev/null
+++ b/packages/codemod/src/codemods/v4/remove-await-streamobject.ts
@@ -0,0 +1,3 @@
+import { removeAwaitFn } from '../lib/remove-await-fn';
+
+export default removeAwaitFn('streamObject');
diff --git a/packages/codemod/src/codemods/v4/remove-await-streamtext.ts b/packages/codemod/src/codemods/v4/remove-await-streamtext.ts
new file mode 100644
index 000000000000..dcf437126dcb
--- /dev/null
+++ b/packages/codemod/src/codemods/v4/remove-await-streamtext.ts
@@ -0,0 +1,3 @@
+import { removeAwaitFn } from '../lib/remove-await-fn';
+
+export default removeAwaitFn('streamText');
diff --git a/packages/codemod/src/codemods/remove-deprecated-provider-registry-exports.ts b/packages/codemod/src/codemods/v4/remove-deprecated-provider-registry-exports.ts
similarity index 97%
rename from packages/codemod/src/codemods/remove-deprecated-provider-registry-exports.ts
rename to packages/codemod/src/codemods/v4/remove-deprecated-provider-registry-exports.ts
index 57aabc0b6034..a2c33008eda2 100644
--- a/packages/codemod/src/codemods/remove-deprecated-provider-registry-exports.ts
+++ b/packages/codemod/src/codemods/v4/remove-deprecated-provider-registry-exports.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-experimental-ai-fn-exports.ts b/packages/codemod/src/codemods/v4/remove-experimental-ai-fn-exports.ts
similarity index 95%
rename from packages/codemod/src/codemods/remove-experimental-ai-fn-exports.ts
rename to packages/codemod/src/codemods/v4/remove-experimental-ai-fn-exports.ts
index 69110ba0d608..7ffd37572174 100644
--- a/packages/codemod/src/codemods/remove-experimental-ai-fn-exports.ts
+++ b/packages/codemod/src/codemods/v4/remove-experimental-ai-fn-exports.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 const EXPERIMENTAL_MAPPINGS = {
   experimental_generateText: 'generateText',
diff --git a/packages/codemod/src/codemods/remove-experimental-message-types.ts b/packages/codemod/src/codemods/v4/remove-experimental-message-types.ts
similarity index 95%
rename from packages/codemod/src/codemods/remove-experimental-message-types.ts
rename to packages/codemod/src/codemods/v4/remove-experimental-message-types.ts
index d45859b8bad3..3d84e0173091 100644
--- a/packages/codemod/src/codemods/remove-experimental-message-types.ts
+++ b/packages/codemod/src/codemods/v4/remove-experimental-message-types.ts
@@ -1,5 +1,5 @@
 import { Identifier } from 'jscodeshift';
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-experimental-streamdata.ts b/packages/codemod/src/codemods/v4/remove-experimental-streamdata.ts
similarity index 96%
rename from packages/codemod/src/codemods/remove-experimental-streamdata.ts
rename to packages/codemod/src/codemods/v4/remove-experimental-streamdata.ts
index 7e9428b0c350..50a6507aa9b7 100644
--- a/packages/codemod/src/codemods/remove-experimental-streamdata.ts
+++ b/packages/codemod/src/codemods/v4/remove-experimental-streamdata.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-experimental-tool.ts b/packages/codemod/src/codemods/v4/remove-experimental-tool.ts
similarity index 95%
rename from packages/codemod/src/codemods/remove-experimental-tool.ts
rename to packages/codemod/src/codemods/v4/remove-experimental-tool.ts
index 546fd0811616..2e9359cc4dff 100644
--- a/packages/codemod/src/codemods/remove-experimental-tool.ts
+++ b/packages/codemod/src/codemods/v4/remove-experimental-tool.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-experimental-useassistant.ts b/packages/codemod/src/codemods/v4/remove-experimental-useassistant.ts
similarity index 91%
rename from packages/codemod/src/codemods/remove-experimental-useassistant.ts
rename to packages/codemod/src/codemods/v4/remove-experimental-useassistant.ts
index 10b3730b1c19..342935fd50d0 100644
--- a/packages/codemod/src/codemods/remove-experimental-useassistant.ts
+++ b/packages/codemod/src/codemods/v4/remove-experimental-useassistant.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-google-facade.ts b/packages/codemod/src/codemods/v4/remove-google-facade.ts
similarity index 70%
rename from packages/codemod/src/codemods/remove-google-facade.ts
rename to packages/codemod/src/codemods/v4/remove-google-facade.ts
index 271aeacda5ee..68a71768c66c 100644
--- a/packages/codemod/src/codemods/remove-google-facade.ts
+++ b/packages/codemod/src/codemods/v4/remove-google-facade.ts
@@ -1,4 +1,4 @@
-import { removeFacade } from './lib/remove-facade';
+import { removeFacade } from '../lib/remove-facade';
 
 export default removeFacade({
   packageName: 'google',
diff --git a/packages/codemod/src/codemods/remove-isxxxerror.ts b/packages/codemod/src/codemods/v4/remove-isxxxerror.ts
similarity index 97%
rename from packages/codemod/src/codemods/remove-isxxxerror.ts
rename to packages/codemod/src/codemods/v4/remove-isxxxerror.ts
index eb9408317a76..fea6f8ea6a0f 100644
--- a/packages/codemod/src/codemods/remove-isxxxerror.ts
+++ b/packages/codemod/src/codemods/v4/remove-isxxxerror.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 const ERROR_METHOD_MAPPINGS: Record<string, string> = {
   isAPICallError: 'APICallError.isInstance',
diff --git a/packages/codemod/src/codemods/remove-metadata-with-headers.ts b/packages/codemod/src/codemods/v4/remove-metadata-with-headers.ts
similarity index 95%
rename from packages/codemod/src/codemods/remove-metadata-with-headers.ts
rename to packages/codemod/src/codemods/v4/remove-metadata-with-headers.ts
index d29af50188e9..12c72f20ce11 100644
--- a/packages/codemod/src/codemods/remove-metadata-with-headers.ts
+++ b/packages/codemod/src/codemods/v4/remove-metadata-with-headers.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/remove-mistral-facade.ts b/packages/codemod/src/codemods/v4/remove-mistral-facade.ts
similarity index 69%
rename from packages/codemod/src/codemods/remove-mistral-facade.ts
rename to packages/codemod/src/codemods/v4/remove-mistral-facade.ts
index 58d927c6c5be..99a37952cd40 100644
--- a/packages/codemod/src/codemods/remove-mistral-facade.ts
+++ b/packages/codemod/src/codemods/v4/remove-mistral-facade.ts
@@ -1,4 +1,4 @@
-import { removeFacade } from './lib/remove-facade';
+import { removeFacade } from '../lib/remove-facade';
 
 export default removeFacade({
   packageName: 'mistral',
diff --git a/packages/codemod/src/codemods/remove-openai-facade.ts b/packages/codemod/src/codemods/v4/remove-openai-facade.ts
similarity index 68%
rename from packages/codemod/src/codemods/remove-openai-facade.ts
rename to packages/codemod/src/codemods/v4/remove-openai-facade.ts
index 1bef5f3dd0cb..93545c9dece3 100644
--- a/packages/codemod/src/codemods/remove-openai-facade.ts
+++ b/packages/codemod/src/codemods/v4/remove-openai-facade.ts
@@ -1,4 +1,4 @@
-import { removeFacade } from './lib/remove-facade';
+import { removeFacade } from '../lib/remove-facade';
 
 export default removeFacade({
   packageName: 'openai',
diff --git a/packages/codemod/src/codemods/rename-format-stream-part.ts b/packages/codemod/src/codemods/v4/rename-format-stream-part.ts
similarity index 95%
rename from packages/codemod/src/codemods/rename-format-stream-part.ts
rename to packages/codemod/src/codemods/v4/rename-format-stream-part.ts
index 885abed86905..45b9be60f3a4 100644
--- a/packages/codemod/src/codemods/rename-format-stream-part.ts
+++ b/packages/codemod/src/codemods/v4/rename-format-stream-part.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/rename-parse-stream-part.ts b/packages/codemod/src/codemods/v4/rename-parse-stream-part.ts
similarity index 95%
rename from packages/codemod/src/codemods/rename-parse-stream-part.ts
rename to packages/codemod/src/codemods/v4/rename-parse-stream-part.ts
index badef9aa93cb..eeade7a23af6 100644
--- a/packages/codemod/src/codemods/rename-parse-stream-part.ts
+++ b/packages/codemod/src/codemods/v4/rename-parse-stream-part.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/replace-baseurl.ts b/packages/codemod/src/codemods/v4/replace-baseurl.ts
similarity index 94%
rename from packages/codemod/src/codemods/replace-baseurl.ts
rename to packages/codemod/src/codemods/v4/replace-baseurl.ts
index a824415c8c22..723f97f92b81 100644
--- a/packages/codemod/src/codemods/replace-baseurl.ts
+++ b/packages/codemod/src/codemods/v4/replace-baseurl.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 const PROVIDER_CREATORS = [
   'createAnthropic',
diff --git a/packages/codemod/src/codemods/replace-continuation-steps.ts b/packages/codemod/src/codemods/v4/replace-continuation-steps.ts
similarity index 95%
rename from packages/codemod/src/codemods/replace-continuation-steps.ts
rename to packages/codemod/src/codemods/v4/replace-continuation-steps.ts
index 8d2add2d74bc..c94b401d00f6 100644
--- a/packages/codemod/src/codemods/replace-continuation-steps.ts
+++ b/packages/codemod/src/codemods/v4/replace-continuation-steps.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/replace-langchain-toaistream.ts b/packages/codemod/src/codemods/v4/replace-langchain-toaistream.ts
similarity index 90%
rename from packages/codemod/src/codemods/replace-langchain-toaistream.ts
rename to packages/codemod/src/codemods/v4/replace-langchain-toaistream.ts
index b21849365428..e8c450c05059 100644
--- a/packages/codemod/src/codemods/replace-langchain-toaistream.ts
+++ b/packages/codemod/src/codemods/v4/replace-langchain-toaistream.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/replace-nanoid.ts b/packages/codemod/src/codemods/v4/replace-nanoid.ts
similarity index 94%
rename from packages/codemod/src/codemods/replace-nanoid.ts
rename to packages/codemod/src/codemods/v4/replace-nanoid.ts
index ed9cfbe5caa7..bab46a56816e 100644
--- a/packages/codemod/src/codemods/replace-nanoid.ts
+++ b/packages/codemod/src/codemods/v4/replace-nanoid.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/replace-roundtrips-with-maxsteps.ts b/packages/codemod/src/codemods/v4/replace-roundtrips-with-maxsteps.ts
similarity index 96%
rename from packages/codemod/src/codemods/replace-roundtrips-with-maxsteps.ts
rename to packages/codemod/src/codemods/v4/replace-roundtrips-with-maxsteps.ts
index 4c501088dc1d..3eebb0fa0075 100644
--- a/packages/codemod/src/codemods/replace-roundtrips-with-maxsteps.ts
+++ b/packages/codemod/src/codemods/v4/replace-roundtrips-with-maxsteps.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/replace-token-usage-types.ts b/packages/codemod/src/codemods/v4/replace-token-usage-types.ts
similarity index 97%
rename from packages/codemod/src/codemods/replace-token-usage-types.ts
rename to packages/codemod/src/codemods/v4/replace-token-usage-types.ts
index f86c4d790163..185b76676455 100644
--- a/packages/codemod/src/codemods/replace-token-usage-types.ts
+++ b/packages/codemod/src/codemods/v4/replace-token-usage-types.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 import {
   ImportSpecifier,
   ImportDefaultSpecifier,
diff --git a/packages/codemod/src/codemods/rewrite-framework-imports.ts b/packages/codemod/src/codemods/v4/rewrite-framework-imports.ts
similarity index 86%
rename from packages/codemod/src/codemods/rewrite-framework-imports.ts
rename to packages/codemod/src/codemods/v4/rewrite-framework-imports.ts
index 60ff4608f619..c51574bec381 100644
--- a/packages/codemod/src/codemods/rewrite-framework-imports.ts
+++ b/packages/codemod/src/codemods/v4/rewrite-framework-imports.ts
@@ -1,4 +1,4 @@
-import { createTransformer } from './lib/create-transformer';
+import { createTransformer } from '../lib/create-transformer';
 
 export default createTransformer((fileInfo, api, options, context) => {
   const { j, root } = context;
diff --git a/packages/codemod/src/codemods/v5/flatten-streamtext-file-properties.ts b/packages/codemod/src/codemods/v5/flatten-streamtext-file-properties.ts
new file mode 100644
index 000000000000..9e41fb35f62d
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/flatten-streamtext-file-properties.ts
@@ -0,0 +1,58 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find member expressions that match: delta.file.mediaType or delta.file.data
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const node = path.node;
+
+      // Check if this is a nested member expression: something.file.property
+      if (!j.MemberExpression.check(node.object)) {
+        return false;
+      }
+
+      const outerObject = node.object;
+
+      // Check if the middle property is 'file'
+      if (
+        !j.Identifier.check(outerObject.property) ||
+        outerObject.property.name !== 'file'
+      ) {
+        return false;
+      }
+
+      // Check if the outermost object is 'delta'
+      if (
+        !j.Identifier.check(outerObject.object) ||
+        outerObject.object.name !== 'delta'
+      ) {
+        return false;
+      }
+
+      // Check if the final property is 'mediaType' or 'data'
+      if (!j.Identifier.check(node.property)) {
+        return false;
+      }
+
+      const propertyName = node.property.name;
+      return propertyName === 'mediaType' || propertyName === 'data';
+    })
+    .forEach(path => {
+      const node = path.node;
+      const outerObject = node.object as any; // We know this is a MemberExpression from the filter
+      const propertyName = (node.property as any).name; // We know this is an Identifier
+
+      // Transform delta.file.mediaType to delta.mediaType
+      // Transform delta.file.data to delta.data
+      const newMemberExpression = j.memberExpression(
+        outerObject.object, // delta
+        j.identifier(propertyName), // mediaType or data
+      );
+
+      path.replace(newMemberExpression);
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/import-LanguageModelV2-from-provider-package.ts b/packages/codemod/src/codemods/v5/import-LanguageModelV2-from-provider-package.ts
new file mode 100644
index 000000000000..69a68899093d
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/import-LanguageModelV2-from-provider-package.ts
@@ -0,0 +1,46 @@
+import { createTransformer } from '../lib/create-transformer';
+
+const ImportMappings: Record<string, string> = {
+  LanguageModelV1: 'LanguageModelV2',
+  LanguageModelV2: 'LanguageModelV2',
+  LanguageModelV1Middleware: 'LanguageModelV2Middleware',
+  LanguageModelV2Middleware: 'LanguageModelV2Middleware',
+};
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find all import declarations
+  root.find(j.ImportDeclaration).forEach(importPath => {
+    const node = importPath.node;
+
+    // Check if the source value is exactly '@ai-sdk/provider'
+    if (node.source.value !== '@ai-sdk/provider') return;
+
+    // Check if the named import includes 'LanguageModelV1' or 'LanguageModelV2'
+    const specifiers =
+      node.specifiers?.filter(
+        s =>
+          j.ImportSpecifier.check(s) &&
+          Object.keys(ImportMappings).includes(s.imported.name),
+      ) ?? [];
+
+    // Rename LanguageModelV1 to LanguageModelV2 if present
+    for (const specifier of specifiers) {
+      if (
+        specifier.type === 'ImportSpecifier' &&
+        ImportMappings[specifier.imported.name]
+      ) {
+        specifier.imported.name = ImportMappings[specifier.imported.name];
+      }
+    }
+
+    // Set hasChanges to true since we will modify the AST
+    context.hasChanges = true;
+
+    // Change the module source from '@ai-sdk/provider' to 'ai'
+    node.source.value = 'ai';
+
+    context.messages.push(`Updated import from '@ai-sdk/provider' to 'ai'`);
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/migrate-to-data-stream-protocol-v2.ts b/packages/codemod/src/codemods/v5/migrate-to-data-stream-protocol-v2.ts
new file mode 100644
index 000000000000..fc668ba7719e
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/migrate-to-data-stream-protocol-v2.ts
@@ -0,0 +1,159 @@
+import { createTransformer } from '../lib/create-transformer';
+
+/**
+ * Migrates from Data Stream Protocol v1 to v2:
+ * - writer.writeData(value) → writer.write({ type: 'data', value: [value] })
+ * - writer.writeMessageAnnotation(obj) → writer.write({ type: 'message-annotations', value: [obj] })
+ * - writer.writeSource(obj) → writer.write({ type: 'source', value: obj })
+ * - formatDataStreamPart('tool_result', obj) → { type: 'tool-result', value: obj }
+ * - Removes unused formatDataStreamPart imports
+ */
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Transform writer.writeData() calls
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'MemberExpression',
+        property: { name: 'writeData' },
+      },
+    })
+    .forEach((path: any) => {
+      const args = path.node.arguments;
+      if (args.length === 1) {
+        // Transform writeData(value) to write({ type: 'data', value: [value] })
+        path.node.callee.property.name = 'write';
+        path.node.arguments = [
+          j.objectExpression([
+            j.property('init', j.literal('type'), j.literal('data')),
+            j.property(
+              'init',
+              j.literal('value'),
+              j.arrayExpression([args[0]]),
+            ),
+          ]),
+        ];
+        context.hasChanges = true;
+      }
+    });
+
+  // Transform writer.writeMessageAnnotation() calls
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'MemberExpression',
+        property: { name: 'writeMessageAnnotation' },
+      },
+    })
+    .forEach((path: any) => {
+      const args = path.node.arguments;
+      if (args.length === 1) {
+        // Transform writeMessageAnnotation(obj) to write({ type: 'message-annotations', value: [obj] })
+        path.node.callee.property.name = 'write';
+        path.node.arguments = [
+          j.objectExpression([
+            j.property(
+              'init',
+              j.literal('type'),
+              j.literal('message-annotations'),
+            ),
+            j.property(
+              'init',
+              j.literal('value'),
+              j.arrayExpression([args[0]]),
+            ),
+          ]),
+        ];
+        context.hasChanges = true;
+      }
+    });
+
+  // Transform writer.writeSource() calls
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'MemberExpression',
+        property: { name: 'writeSource' },
+      },
+    })
+    .forEach((path: any) => {
+      const args = path.node.arguments;
+      if (args.length === 1 && args[0].type === 'ObjectExpression') {
+        // Transform writeSource(obj) to write({ type: 'source', value: obj })
+        const sourceObj = args[0];
+
+        path.node.callee.property.name = 'write';
+        path.node.arguments = [
+          j.objectExpression([
+            j.property('init', j.literal('type'), j.literal('source')),
+            j.property('init', j.literal('value'), sourceObj),
+          ]),
+        ];
+        context.hasChanges = true;
+      }
+    });
+
+  // Transform formatDataStreamPart() calls for tool results
+  root
+    .find(j.CallExpression, {
+      callee: { name: 'formatDataStreamPart' },
+    })
+    .forEach((path: any) => {
+      const args = path.node.arguments;
+      if (args.length === 2) {
+        const typeArg = args[0];
+        const valueArg = args[1];
+
+        // Replace the formatDataStreamPart call with the new format
+        if (
+          (typeArg.type === 'Literal' || typeArg.type === 'StringLiteral') &&
+          typeArg.value === 'tool_result'
+        ) {
+          // Transform formatDataStreamPart('tool_result', obj) to { type: 'tool-result', value: obj }
+          j(path).replaceWith(
+            j.objectExpression([
+              j.property('init', j.literal('type'), j.literal('tool-result')),
+              j.property('init', j.literal('value'), valueArg),
+            ]),
+          );
+          context.hasChanges = true;
+        }
+      }
+    });
+
+  // Remove formatDataStreamPart import if it's no longer used
+  // Check after all transformations are done
+  const formatDataStreamPartUsages = root.find(j.CallExpression, {
+    callee: { name: 'formatDataStreamPart' },
+  });
+
+  if (formatDataStreamPartUsages.length === 0) {
+    root.find(j.ImportDeclaration).forEach((path: any) => {
+      if (
+        path.node.source.value === 'ai' &&
+        path.node.specifiers?.some(
+          (spec: any) =>
+            spec.type === 'ImportSpecifier' &&
+            spec.imported.name === 'formatDataStreamPart',
+        )
+      ) {
+        // Remove the import
+        path.node.specifiers = path.node.specifiers?.filter(
+          (spec: any) =>
+            !(
+              spec.type === 'ImportSpecifier' &&
+              spec.imported.name === 'formatDataStreamPart'
+            ),
+        );
+
+        // If no specifiers left, remove the entire import
+        if (path.node.specifiers?.length === 0) {
+          path.prune();
+        }
+
+        context.hasChanges = true;
+      }
+    });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/move-image-model-maxImagesPerCall.ts b/packages/codemod/src/codemods/v5/move-image-model-maxImagesPerCall.ts
new file mode 100644
index 000000000000..cbdebc63e402
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/move-image-model-maxImagesPerCall.ts
@@ -0,0 +1,207 @@
+import { createTransformer } from '../lib/create-transformer';
+
+/**
+ * Transforms image model settings from model construction to generateImage options
+ *
+ * Before:
+ * await generateImage({
+ *   model: provider.image('model-id', {
+ *     maxImagesPerCall: 5,
+ *     pollIntervalMillis: 500,
+ *   }),
+ *   prompt,
+ *   n: 10,
+ * });
+ *
+ * After:
+ * await generateImage({
+ *   model: provider.image('model-id'),
+ *   prompt,
+ *   n: 10,
+ *   maxImagesPerCall: 5,
+ *   providerOptions: {
+ *     provider: { pollIntervalMillis: 500 },
+ *   },
+ * });
+ */
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find generateImage call expressions
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'Identifier',
+        name: 'generateImage',
+      },
+    })
+    .forEach(path => {
+      const args = path.node.arguments;
+      if (args.length !== 1 || args[0].type !== 'ObjectExpression') {
+        return;
+      }
+
+      const configObject = args[0];
+      let modelProperty: any = null;
+      let maxImagesPerCallFromModel: any = null;
+      let providerSettingsFromModel: Record<string, any> = {};
+      let providerName: string | null = null;
+
+      // Find the model property
+      configObject.properties.forEach((prop: any) => {
+        if (
+          (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+          ((prop.key.type === 'Identifier' && prop.key.name === 'model') ||
+            (prop.key.type === 'Literal' && prop.key.value === 'model'))
+        ) {
+          modelProperty = prop;
+        }
+      });
+
+      if (!modelProperty) {
+        return;
+      }
+
+      // Check if the model property value is a call expression (provider.image(...))
+      if (
+        modelProperty.value.type === 'CallExpression' &&
+        modelProperty.value.callee.type === 'MemberExpression' &&
+        modelProperty.value.callee.property.type === 'Identifier' &&
+        modelProperty.value.callee.property.name === 'image'
+      ) {
+        const imageCall = modelProperty.value;
+
+        // Extract provider name from the callee
+        if (imageCall.callee.object.type === 'Identifier') {
+          providerName = imageCall.callee.object.name;
+        }
+
+        // Check if there's a second argument with settings
+        if (
+          imageCall.arguments.length === 2 &&
+          imageCall.arguments[1].type === 'ObjectExpression'
+        ) {
+          const settingsObject = imageCall.arguments[1];
+
+          // Extract settings from the model constructor
+          settingsObject.properties.forEach((settingProp: any) => {
+            if (
+              settingProp.type === 'Property' ||
+              settingProp.type === 'ObjectProperty'
+            ) {
+              const keyName =
+                settingProp.key.type === 'Identifier'
+                  ? settingProp.key.name
+                  : settingProp.key.value;
+
+              if (keyName === 'maxImagesPerCall') {
+                maxImagesPerCallFromModel = settingProp.value;
+              } else {
+                providerSettingsFromModel[keyName] = settingProp.value;
+              }
+            }
+          });
+
+          // Remove the settings argument from the image call
+          imageCall.arguments = [imageCall.arguments[0]];
+          context.hasChanges = true;
+        }
+      }
+
+      // Add maxImagesPerCall to the generateImage config if it was in the model
+      if (maxImagesPerCallFromModel) {
+        const maxImagesPerCallProp = j.property(
+          'init',
+          j.identifier('maxImagesPerCall'),
+          maxImagesPerCallFromModel,
+        );
+        configObject.properties.push(maxImagesPerCallProp);
+      }
+
+      // Add or update providerOptions with the extracted settings
+      if (Object.keys(providerSettingsFromModel).length > 0 && providerName) {
+        let providerOptionsProperty: any = null;
+
+        // Find existing providerOptions property
+        configObject.properties.forEach((prop: any) => {
+          if (
+            (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+            ((prop.key.type === 'Identifier' &&
+              prop.key.name === 'providerOptions') ||
+              (prop.key.type === 'Literal' &&
+                prop.key.value === 'providerOptions'))
+          ) {
+            providerOptionsProperty = prop;
+          }
+        });
+
+        if (!providerOptionsProperty) {
+          // Create new providerOptions property
+          const providerSettingsProperties = Object.entries(
+            providerSettingsFromModel,
+          ).map(([key, value]) => j.property('init', j.identifier(key), value));
+
+          const providerOptionsValue = j.objectExpression([
+            j.property(
+              'init',
+              j.identifier(providerName),
+              j.objectExpression(providerSettingsProperties),
+            ),
+          ]);
+
+          providerOptionsProperty = j.property(
+            'init',
+            j.identifier('providerOptions'),
+            providerOptionsValue,
+          );
+          configObject.properties.push(providerOptionsProperty);
+        } else {
+          // Update existing providerOptions
+          if (providerOptionsProperty.value.type === 'ObjectExpression') {
+            let providerProperty: any = null;
+
+            // Find the provider property in providerOptions
+            providerOptionsProperty.value.properties.forEach((prop: any) => {
+              if (
+                (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+                ((prop.key.type === 'Identifier' &&
+                  prop.key.name === providerName) ||
+                  (prop.key.type === 'Literal' &&
+                    prop.key.value === providerName))
+              ) {
+                providerProperty = prop;
+              }
+            });
+
+            if (!providerProperty) {
+              // Create new provider property
+              const providerSettingsProperties = Object.entries(
+                providerSettingsFromModel,
+              ).map(([key, value]) =>
+                j.property('init', j.identifier(key), value),
+              );
+
+              providerProperty = j.property(
+                'init',
+                j.identifier(providerName),
+                j.objectExpression(providerSettingsProperties),
+              );
+              providerOptionsProperty.value.properties.push(providerProperty);
+            } else {
+              // Merge with existing provider property
+              if (providerProperty.value.type === 'ObjectExpression') {
+                const newSettingsProperties = Object.entries(
+                  providerSettingsFromModel,
+                ).map(([key, value]) =>
+                  j.property('init', j.identifier(key), value),
+                );
+                providerProperty.value.properties.push(
+                  ...newSettingsProperties,
+                );
+              }
+            }
+          }
+        }
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/move-langchain-adapter.ts b/packages/codemod/src/codemods/v5/move-langchain-adapter.ts
new file mode 100644
index 000000000000..c4e15af1fc10
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/move-langchain-adapter.ts
@@ -0,0 +1,71 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer(
+  (fileInfo: any, api: any, options: any, context: any) => {
+    const { j, root } = context;
+    // Track all local names for LangChainAdapter and their new names
+    const renamedLocals: { old: string; new: string }[] = [];
+
+    // Transform import declarations
+    root
+      .find(j.ImportDeclaration, { source: { value: 'ai' } })
+      .forEach((path: any) => {
+        const specifiers = path.node.specifiers;
+        specifiers.forEach((specifier: any) => {
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.name === 'toDataStreamResponse'
+          ) {
+            // Already migrated
+            return;
+          }
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.name === 'LangChainAdapter'
+          ) {
+            const oldLocal = specifier.local.name;
+            let newLocal = oldLocal;
+            specifier.imported.name = 'toDataStreamResponse';
+            if (oldLocal === 'LangChainAdapter') {
+              specifier.local.name = 'toDataStreamResponse';
+              newLocal = 'toDataStreamResponse';
+            }
+            renamedLocals.push({ old: oldLocal, new: newLocal });
+            context.hasChanges = true;
+          }
+        });
+        path.node.source.value = '@ai-sdk/langchain';
+        context.messages.push(
+          "Updated import of LangChainAdapter from 'ai' to '@ai-sdk/langchain' and renamed to toDataStreamResponse",
+        );
+      });
+
+    // Transform X.toDataStreamResponse(...) to X(...)
+    renamedLocals.forEach(({ old: localName, new: newName }) => {
+      root
+        .find(j.CallExpression, {
+          callee: {
+            type: 'MemberExpression',
+            object: { type: 'Identifier', name: localName },
+            property: { type: 'Identifier', name: 'toDataStreamResponse' },
+          },
+        })
+        .forEach((path: any) => {
+          path.node.callee = j.identifier(localName);
+          context.hasChanges = true;
+          context.messages.push(
+            `Replaced ${localName}.toDataStreamResponse(...) with ${localName}(...)`,
+          );
+        });
+      // If the local name was changed (not aliased), update all identifiers
+      if (localName !== newName) {
+        root.find(j.Identifier, { name: localName }).forEach((idPath: any) => {
+          // Don't change import specifiers
+          if (j.ImportSpecifier.check(idPath.parent.node)) return;
+          idPath.node.name = newName;
+          context.hasChanges = true;
+        });
+      }
+    });
+  },
+);
diff --git a/packages/codemod/src/codemods/v5/move-provider-options.ts b/packages/codemod/src/codemods/v5/move-provider-options.ts
new file mode 100644
index 000000000000..684e78b2d6a0
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/move-provider-options.ts
@@ -0,0 +1,126 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // AI methods that accept a model parameter
+  const aiMethods = [
+    'embed',
+    'embedMany',
+    'generateText',
+    'generateObject',
+    'streamObject',
+    'streamText',
+    'generateSpeech',
+    'transcribe',
+  ];
+
+  // Common provider function names (these typically come from @ai-sdk/* packages)
+  const providerFunctions = [
+    'openai',
+    'anthropic',
+    'google',
+    'mistral',
+    'groq',
+    'cohere',
+    'bedrock',
+    'vertex',
+    'perplexity',
+  ];
+
+  const foundPatterns: Array<{
+    method: string;
+    provider: string;
+    line: number;
+    hasExistingProviderOptions: boolean;
+  }> = [];
+
+  // Find AI method calls and detect provider options patterns
+  root.find(j.CallExpression).forEach(path => {
+    const { callee, arguments: args } = path.node;
+
+    // Check if this is an AI method call
+    if (
+      callee.type === 'Identifier' &&
+      aiMethods.includes(callee.name) &&
+      args.length > 0
+    ) {
+      const firstArg = args[0];
+
+      // The first argument should be an object with a model property
+      if (firstArg.type === 'ObjectExpression') {
+        let modelProperty: any = null;
+        let hasProviderOptions = false;
+
+        // Find the model property and check for existing providerOptions
+        firstArg.properties.forEach(prop => {
+          const isPropertyType =
+            prop.type === 'Property' || prop.type === 'ObjectProperty';
+
+          if (isPropertyType && prop.key && prop.key.type === 'Identifier') {
+            if (prop.key.name === 'model') {
+              modelProperty = prop;
+            } else if (prop.key.name === 'providerOptions') {
+              hasProviderOptions = true;
+            }
+          }
+        });
+
+        if (
+          modelProperty &&
+          modelProperty.value &&
+          modelProperty.value.type === 'CallExpression'
+        ) {
+          const modelCall = modelProperty.value;
+
+          // Check if the model call is a provider function with options (second argument)
+          if (
+            modelCall.callee.type === 'Identifier' &&
+            providerFunctions.includes(modelCall.callee.name) &&
+            modelCall.arguments.length >= 2
+          ) {
+            const providerName = modelCall.callee.name;
+            const lineNumber = path.node.loc?.start?.line || 0;
+
+            foundPatterns.push({
+              method: callee.name,
+              provider: providerName,
+              line: lineNumber,
+              hasExistingProviderOptions: hasProviderOptions,
+            });
+          }
+        }
+      }
+    }
+  });
+
+  // Generate helpful messages for found patterns
+  if (foundPatterns.length > 0) {
+    context.messages.push(
+      `Found ${foundPatterns.length} AI method call(s) that need provider options migration:`,
+    );
+
+    foundPatterns.forEach(pattern => {
+      const action = pattern.hasExistingProviderOptions
+        ? `add "${pattern.provider}: { ... }" to existing providerOptions`
+        : `move provider options to providerOptions: { ${pattern.provider}: { ... } }`;
+
+      context.messages.push(
+        `  Line ${pattern.line}: ${pattern.method}() - ${action}`,
+      );
+    });
+
+    context.messages.push('');
+    context.messages.push('Migration example:');
+    context.messages.push(
+      '  Before: model: openai("gpt-4o", { dimensions: 10 })',
+    );
+    context.messages.push('  After:  model: openai("gpt-4o"),');
+    context.messages.push(
+      '          providerOptions: { openai: { dimensions: 10 } }',
+    );
+    context.messages.push('');
+    // TODO: add link to migration guide
+    // context.messages.push('See migration guide: https://ai-sdk.dev/docs/migration/switch-to-provider-options');
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/move-react-to-ai-sdk.ts b/packages/codemod/src/codemods/v5/move-react-to-ai-sdk.ts
new file mode 100644
index 000000000000..e2130bea3c0b
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/move-react-to-ai-sdk.ts
@@ -0,0 +1,21 @@
+import { createTransformer } from '../lib/create-transformer';
+
+/**
+ * Migrates from ai/react to @ai-sdk/react:
+ * - import { useChat } from 'ai/react' → import { useChat } from '@ai-sdk/react'
+ */
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Transform imports from 'ai/react' to '@ai-sdk/react'
+  root
+    .find(j.ImportDeclaration, {
+      source: {
+        value: 'ai/react',
+      },
+    })
+    .forEach((path: any) => {
+      path.node.source.value = '@ai-sdk/react';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/move-ui-utils-to-ai.ts b/packages/codemod/src/codemods/v5/move-ui-utils-to-ai.ts
new file mode 100644
index 000000000000..27fce6dfab2a
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/move-ui-utils-to-ai.ts
@@ -0,0 +1,12 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  root
+    .find(j.ImportDeclaration, { source: { value: '@ai-sdk/ui-utils' } })
+    .forEach(path => {
+      path.node.source.value = 'ai';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/remove-experimental-wrap-language-model.ts b/packages/codemod/src/codemods/v5/remove-experimental-wrap-language-model.ts
new file mode 100644
index 000000000000..5446784bcca0
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/remove-experimental-wrap-language-model.ts
@@ -0,0 +1,82 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track if the experimental function was imported and what local name it uses
+  let importedLocalName: string | null = null;
+
+  // Find import declarations from 'ai' and rename experimental_wrapLanguageModel
+  root.find(j.ImportDeclaration).forEach(importPath => {
+    const node = importPath.node;
+
+    // Check if the source is 'ai'
+    if (node.source.value !== 'ai') return;
+
+    // Check named imports and rename them
+    const specifiers =
+      node.specifiers?.filter(s => j.ImportSpecifier.check(s)) ?? [];
+
+    for (const specifier of specifiers) {
+      if (
+        specifier.type === 'ImportSpecifier' &&
+        specifier.imported.type === 'Identifier' &&
+        specifier.imported.name === 'experimental_wrapLanguageModel'
+      ) {
+        // Track the local name that's being used in the code
+        importedLocalName =
+          specifier.local?.name || 'experimental_wrapLanguageModel';
+
+        // Update the import name
+        specifier.imported.name = 'wrapLanguageModel';
+
+        // If there's no alias, we also need to update the local name
+        if (
+          !specifier.local ||
+          specifier.local.name === 'experimental_wrapLanguageModel'
+        ) {
+          specifier.local = j.identifier('wrapLanguageModel');
+        }
+
+        context.hasChanges = true;
+      }
+    }
+  });
+
+  // If we found an import, also rename all usages in the code
+  if (
+    importedLocalName &&
+    importedLocalName === 'experimental_wrapLanguageModel'
+  ) {
+    root.find(j.Identifier).forEach(identifierPath => {
+      const node = identifierPath.node;
+
+      // Only rename if this identifier matches the imported name
+      if (node.name === 'experimental_wrapLanguageModel') {
+        // Skip if this identifier is part of an import declaration (already handled above)
+        const parent = identifierPath.parent;
+        if (
+          parent &&
+          (j.ImportSpecifier.check(parent.node) ||
+            j.ImportDefaultSpecifier.check(parent.node) ||
+            j.ImportNamespaceSpecifier.check(parent.node))
+        ) {
+          return;
+        }
+
+        // Skip if this is a property name in an object (e.g., { experimental_wrapLanguageModel: something })
+        if (
+          parent &&
+          j.Property.check(parent.node) &&
+          parent.node.key === node
+        ) {
+          return;
+        }
+
+        // Rename the identifier
+        node.name = 'wrapLanguageModel';
+        context.hasChanges = true;
+      }
+    });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/remove-get-ui-text.ts b/packages/codemod/src/codemods/v5/remove-get-ui-text.ts
new file mode 100644
index 000000000000..f9dd5ef00c29
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/remove-get-ui-text.ts
@@ -0,0 +1,174 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track aliases for getUIText
+  const aliases = new Set<string>();
+  aliases.add('getUIText'); // Include the original name
+
+  // Extract leading comments from the original source
+  const originalLines = fileInfo.source.split('\n');
+  const leadingComments: string[] = [];
+  for (const line of originalLines) {
+    const trimmedLine = line.trim();
+    if (
+      trimmedLine.startsWith('//') ||
+      trimmedLine.startsWith('/*') ||
+      trimmedLine === ''
+    ) {
+      leadingComments.push(line);
+    } else {
+      break; // Stop at the first non-comment, non-empty line
+    }
+  }
+
+  // Remove getUIText from import statements and track aliases
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      if (path.node.specifiers) {
+        const filteredSpecifiers = path.node.specifiers.filter(specifier => {
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.type === 'Identifier' &&
+            specifier.imported.name === 'getUIText'
+          ) {
+            // Track the local name (alias) if it exists
+            const localName = specifier.local?.name || 'getUIText';
+            aliases.add(localName);
+
+            context.hasChanges = true;
+            return false; // Remove this specifier
+          }
+          return true; // Keep other specifiers
+        });
+
+        if (filteredSpecifiers.length === 0) {
+          // Remove entire import if no specifiers left
+          j(path).remove();
+        } else {
+          // Update with filtered specifiers
+          path.node.specifiers = filteredSpecifiers;
+        }
+      }
+    });
+
+  // Replace function calls for getUIText and its aliases
+  root
+    .find(j.CallExpression)
+    .filter(path => {
+      return (
+        path.node.callee.type === 'Identifier' &&
+        aliases.has(path.node.callee.name) &&
+        path.node.arguments.length === 1
+      );
+    })
+    .forEach(path => {
+      const argument = path.node.arguments[0];
+
+      // Ensure argument is an expression (not a spread element)
+      if (argument.type === 'SpreadElement') {
+        return; // Skip spread elements
+      }
+
+      // Create the replacement: argument.map(part => (part.type === 'text' ? part.text : '')).join('')
+      const replacement = j.callExpression(
+        j.memberExpression(
+          j.callExpression(j.memberExpression(argument, j.identifier('map')), [
+            j.arrowFunctionExpression(
+              [j.identifier('part')],
+              j.conditionalExpression(
+                j.binaryExpression(
+                  '===',
+                  j.memberExpression(
+                    j.identifier('part'),
+                    j.identifier('type'),
+                  ),
+                  j.stringLiteral('text'),
+                ),
+                j.memberExpression(j.identifier('part'), j.identifier('text')),
+                j.stringLiteral(''),
+              ),
+            ),
+          ]),
+          j.identifier('join'),
+        ),
+        [j.stringLiteral('')],
+      );
+
+      j(path).replaceWith(replacement);
+      context.hasChanges = true;
+    });
+
+  // Handle comment preservation if changes were made
+  if (context.hasChanges && leadingComments.length > 0) {
+    // Get the transformed source
+    const transformedSource = root.toSource({ quote: 'single' });
+    const transformedLines = transformedSource.split('\n');
+
+    // Check if the transformed source starts with the same comments
+    let needsCommentRestoration = false;
+    for (let i = 0; i < leadingComments.length; i++) {
+      if (
+        i >= transformedLines.length ||
+        leadingComments[i] !== transformedLines[i]
+      ) {
+        needsCommentRestoration = true;
+        break;
+      }
+    }
+
+    if (needsCommentRestoration) {
+      // Find the first non-comment line in the transformed source
+      let firstCodeLineIndex = 0;
+      for (let i = 0; i < transformedLines.length; i++) {
+        const trimmedLine = transformedLines[i].trim();
+        if (
+          trimmedLine !== '' &&
+          !trimmedLine.startsWith('//') &&
+          !trimmedLine.startsWith('/*')
+        ) {
+          firstCodeLineIndex = i;
+          break;
+        }
+      }
+
+      // Rebuild the source with preserved comments
+      const preservedComments = leadingComments.join('\n');
+      const codeWithoutLeadingComments = transformedLines
+        .slice(firstCodeLineIndex)
+        .join('\n');
+
+      // Determine spacing between comments and code
+      let spacingAfterComments = '';
+      const lastCommentIndex = leadingComments.length - 1;
+      if (
+        lastCommentIndex >= 0 &&
+        leadingComments[lastCommentIndex].trim() === ''
+      ) {
+        // If the last leading comment line is empty, preserve that spacing
+        spacingAfterComments = '\n';
+      } else {
+        // Otherwise add a single newline to separate comments from code
+        spacingAfterComments = '\n';
+      }
+
+      // Override the default transformation result by directly returning the preserved version
+      const preservedResult = `${preservedComments}${spacingAfterComments}${codeWithoutLeadingComments}`;
+
+      // We need to manually handle the return since createTransformer expects us to modify context.hasChanges
+      // but we want to return a custom result. We'll modify the root to contain our preserved content.
+      const preservedAST = j(preservedResult);
+      context.root
+        .find(j.Program)
+        .replaceWith(preservedAST.find(j.Program).get().node);
+    }
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/remove-openai-compatibility.ts b/packages/codemod/src/codemods/v5/remove-openai-compatibility.ts
new file mode 100644
index 000000000000..58333cd4335f
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/remove-openai-compatibility.ts
@@ -0,0 +1,70 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track which createOpenAI identifiers are imported from @ai-sdk/openai
+  const createOpenAIFromOpenAI = new Set<string>();
+
+  // Find imports from @ai-sdk/openai and track createOpenAI identifiers
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === '@ai-sdk/openai'
+      );
+    })
+    .forEach(path => {
+      if (path.node.specifiers) {
+        path.node.specifiers.forEach(specifier => {
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.type === 'Identifier' &&
+            specifier.imported.name === 'createOpenAI'
+          ) {
+            // Track the local name (could be aliased)
+            const localName = specifier.local?.name || 'createOpenAI';
+            createOpenAIFromOpenAI.add(localName);
+          }
+        });
+      }
+    });
+
+  // Only process createOpenAI calls that were imported from @ai-sdk/openai
+  if (createOpenAIFromOpenAI.size > 0) {
+    // Find createOpenAI function calls
+    root
+      .find(j.CallExpression)
+      .filter(path => {
+        return (
+          path.node.callee.type === 'Identifier' &&
+          createOpenAIFromOpenAI.has(path.node.callee.name)
+        );
+      })
+      .forEach(path => {
+        const args = path.node.arguments;
+
+        // Check if there's an object argument
+        if (args.length > 0 && args[0].type === 'ObjectExpression') {
+          const objectArg = args[0];
+
+          // Filter out the compatibility property
+          const filteredProperties = objectArg.properties.filter(prop => {
+            if (
+              (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+              prop.key.type === 'Identifier' &&
+              prop.key.name === 'compatibility'
+            ) {
+              context.hasChanges = true;
+              return false; // Remove this property
+            }
+            return true; // Keep other properties
+          });
+
+          // Update the properties array
+          objectArg.properties = filteredProperties;
+        }
+      });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/remove-sendExtraMessageFields.ts b/packages/codemod/src/codemods/v5/remove-sendExtraMessageFields.ts
new file mode 100644
index 000000000000..329f8cadd188
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/remove-sendExtraMessageFields.ts
@@ -0,0 +1,59 @@
+import { createTransformer } from '../lib/create-transformer';
+
+/**
+ * Removes sendExtraMessageFields property from useChat calls since it's now the default behavior
+ *
+ * Before:
+ * const { messages } = useChat({
+ *   sendExtraMessageFields: true
+ * });
+ *
+ * After:
+ * const { messages } = useChat({
+ * });
+ */
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find useChat call expressions
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'Identifier',
+        name: 'useChat',
+      },
+    })
+    .forEach(path => {
+      const args = path.node.arguments;
+      if (args.length !== 1 || args[0].type !== 'ObjectExpression') {
+        return;
+      }
+
+      const configObject = args[0];
+      let foundSendExtraMessageFields = false;
+
+      // Find and remove sendExtraMessageFields property
+      configObject.properties = configObject.properties.filter((prop: any) => {
+        if (
+          (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+          ((prop.key.type === 'Identifier' &&
+            prop.key.name === 'sendExtraMessageFields') ||
+            (prop.key.type === 'Literal' &&
+              prop.key.value === 'sendExtraMessageFields') ||
+            (prop.key.type === 'StringLiteral' &&
+              prop.key.value === 'sendExtraMessageFields'))
+        ) {
+          foundSendExtraMessageFields = true;
+          context.hasChanges = true;
+          return false; // Remove this property
+        }
+        return true; // Keep other properties
+      });
+
+      // If the object is now empty and we removed the property, we can simplify the call
+      if (foundSendExtraMessageFields && configObject.properties.length === 0) {
+        // Keep the empty object for now - user can clean up manually if desired
+        // This preserves the original structure and is safer
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-converttocoremessages-to-converttomodelmessages.ts b/packages/codemod/src/codemods/v5/rename-converttocoremessages-to-converttomodelmessages.ts
new file mode 100644
index 000000000000..bea15dc2fdcf
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-converttocoremessages-to-converttomodelmessages.ts
@@ -0,0 +1,52 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace import specifiers from 'ai' package
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(specifier => {
+        if (
+          specifier.type === 'ImportSpecifier' &&
+          specifier.imported.type === 'Identifier' &&
+          specifier.imported.name === 'convertToCoreMessages'
+        ) {
+          specifier.imported.name = 'convertToModelMessages';
+          context.hasChanges = true;
+        }
+      });
+    });
+
+  // Replace function calls and identifiers
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      // Only replace identifiers that are not part of import declarations
+      // (those are handled above) and are not property keys
+      const parent = path.parent;
+      return (
+        path.node.name === 'convertToCoreMessages' &&
+        parent.node.type !== 'ImportSpecifier' &&
+        !(
+          parent.node.type === 'MemberExpression' &&
+          parent.node.property === path.node
+        ) &&
+        !(parent.node.type === 'Property' && parent.node.key === path.node) &&
+        !(
+          parent.node.type === 'ObjectProperty' && parent.node.key === path.node
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.name = 'convertToModelMessages';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-core-message-to-model-message.ts b/packages/codemod/src/codemods/v5/rename-core-message-to-model-message.ts
new file mode 100644
index 000000000000..9624ddefa96d
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-core-message-to-model-message.ts
@@ -0,0 +1,68 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace import specifiers from 'ai' package
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(specifier => {
+        if (
+          specifier.type === 'ImportSpecifier' &&
+          specifier.imported.type === 'Identifier' &&
+          specifier.imported.name === 'CoreMessage'
+        ) {
+          specifier.imported.name = 'ModelMessage';
+          context.hasChanges = true;
+        }
+      });
+    });
+
+  // Replace type references and identifiers
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      // Only replace identifiers that are not part of import declarations
+      // (those are handled above) and are not property keys
+      const parent = path.parent;
+      return (
+        path.node.name === 'CoreMessage' &&
+        parent.node.type !== 'ImportSpecifier' &&
+        !(
+          parent.node.type === 'MemberExpression' &&
+          parent.node.property === path.node
+        ) &&
+        !(parent.node.type === 'Property' && parent.node.key === path.node) &&
+        !(
+          parent.node.type === 'ObjectProperty' && parent.node.key === path.node
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.name = 'ModelMessage';
+      context.hasChanges = true;
+    });
+
+  // Replace TypeScript type annotations
+  root
+    .find(j.TSTypeReference)
+    .filter(path => {
+      return (
+        path.node.typeName.type === 'Identifier' &&
+        path.node.typeName.name === 'CoreMessage'
+      );
+    })
+    .forEach(path => {
+      if (path.node.typeName.type === 'Identifier') {
+        path.node.typeName.name = 'ModelMessage';
+        context.hasChanges = true;
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-datastream-transform-stream.ts b/packages/codemod/src/codemods/v5/rename-datastream-transform-stream.ts
new file mode 100644
index 000000000000..62b74cdd60e8
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-datastream-transform-stream.ts
@@ -0,0 +1,80 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  let hasChanges = false;
+
+  // Find and rename imports
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return !!(
+        path.node.source.value === 'ai' &&
+        path.node.specifiers &&
+        path.node.specifiers.some(
+          spec =>
+            spec.type === 'ImportSpecifier' &&
+            spec.imported.type === 'Identifier' &&
+            spec.imported.name === 'DataStreamToSSETransformStream',
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(spec => {
+        if (
+          spec.type === 'ImportSpecifier' &&
+          spec.imported.type === 'Identifier' &&
+          spec.imported.name === 'DataStreamToSSETransformStream'
+        ) {
+          spec.imported.name = 'JsonToSseTransformStream';
+
+          // If there's no alias, we also need to rename all usages in the file
+          if (
+            !spec.local ||
+            spec.local.name === 'DataStreamToSSETransformStream'
+          ) {
+            if (spec.local) {
+              spec.local.name = 'JsonToSseTransformStream';
+            }
+
+            // Rename all type references in the file
+            root
+              .find(j.TSTypeReference)
+              .filter(typePath => {
+                return (
+                  typePath.node.typeName.type === 'Identifier' &&
+                  typePath.node.typeName.name ===
+                    'DataStreamToSSETransformStream'
+                );
+              })
+              .forEach(typePath => {
+                if (typePath.node.typeName.type === 'Identifier') {
+                  typePath.node.typeName.name = 'JsonToSseTransformStream';
+                }
+              });
+
+            // Also handle any other identifier usages
+            root
+              .find(j.Identifier)
+              .filter(idPath => {
+                return (
+                  idPath.node.name === 'DataStreamToSSETransformStream' &&
+                  // Make sure it's not part of an import we already handled
+                  idPath.parent.node.type !== 'ImportSpecifier'
+                );
+              })
+              .forEach(idPath => {
+                idPath.node.name = 'JsonToSseTransformStream';
+              });
+          }
+
+          hasChanges = true;
+        }
+      });
+    });
+
+  if (hasChanges) {
+    context.hasChanges = true;
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/rename-languagemodelv1providermetadata.ts b/packages/codemod/src/codemods/v5/rename-languagemodelv1providermetadata.ts
new file mode 100644
index 000000000000..eb72da74ccc6
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-languagemodelv1providermetadata.ts
@@ -0,0 +1,81 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  let hasChanges = false;
+
+  // Find and rename imports
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return !!(
+        path.node.source.value === '@ai-sdk/provider' &&
+        path.node.specifiers &&
+        path.node.specifiers.some(
+          spec =>
+            spec.type === 'ImportSpecifier' &&
+            spec.imported.type === 'Identifier' &&
+            spec.imported.name === 'LanguageModelV1ProviderMetadata',
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(spec => {
+        if (
+          spec.type === 'ImportSpecifier' &&
+          spec.imported.type === 'Identifier' &&
+          spec.imported.name === 'LanguageModelV1ProviderMetadata'
+        ) {
+          spec.imported.name = 'SharedV2ProviderMetadata';
+
+          // If there's an alias, we don't need to change anything else
+          // If there's no alias, we also need to rename all usages in the file
+          if (
+            !spec.local ||
+            spec.local.name === 'LanguageModelV1ProviderMetadata'
+          ) {
+            if (spec.local) {
+              spec.local.name = 'SharedV2ProviderMetadata';
+            }
+
+            // Rename all type references in the file
+            root
+              .find(j.TSTypeReference)
+              .filter(typePath => {
+                return (
+                  typePath.node.typeName.type === 'Identifier' &&
+                  typePath.node.typeName.name ===
+                    'LanguageModelV1ProviderMetadata'
+                );
+              })
+              .forEach(typePath => {
+                if (typePath.node.typeName.type === 'Identifier') {
+                  typePath.node.typeName.name = 'SharedV2ProviderMetadata';
+                }
+              });
+
+            // Also handle any generic type references or other identifier usages
+            root
+              .find(j.Identifier)
+              .filter(idPath => {
+                return (
+                  idPath.node.name === 'LanguageModelV1ProviderMetadata' &&
+                  // Make sure it's not part of an import we already handled
+                  idPath.parent.node.type !== 'ImportSpecifier'
+                );
+              })
+              .forEach(idPath => {
+                idPath.node.name = 'SharedV2ProviderMetadata';
+              });
+          }
+
+          hasChanges = true;
+        }
+      });
+    });
+
+  if (hasChanges) {
+    context.hasChanges = true;
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/rename-max-tokens-to-max-output-tokens.ts b/packages/codemod/src/codemods/v5/rename-max-tokens-to-max-output-tokens.ts
new file mode 100644
index 000000000000..16f295ecb857
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-max-tokens-to-max-output-tokens.ts
@@ -0,0 +1,92 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find and replace object properties named 'maxTokens' with 'maxOutputTokens'
+  root
+    .find(j.ObjectProperty, {
+      key: { name: 'maxTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('maxOutputTokens');
+    });
+
+  // Find and replace Property nodes (alternative representation)
+  root
+    .find(j.Property, {
+      key: { name: 'maxTokens' },
+      shorthand: false,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('maxOutputTokens');
+    });
+
+  // Find and replace shorthand object properties (e.g., { maxTokens })
+  root
+    .find(j.Property, {
+      key: { name: 'maxTokens' },
+      shorthand: true,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('maxOutputTokens');
+      path.node.value = j.identifier('maxOutputTokens');
+    });
+
+  // Replace member expressions (e.g., options.maxTokens)
+  root
+    .find(j.MemberExpression, {
+      property: { name: 'maxTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.property = j.identifier('maxOutputTokens');
+    });
+
+  // Replace destructuring patterns: { maxTokens } = obj
+  root.find(j.ObjectPattern).forEach(path => {
+    let hasPatternChanges = false;
+    path.node.properties.forEach(prop => {
+      // Handle both ObjectProperty and Property nodes in destructuring
+      if (
+        (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+        prop.key.type === 'Identifier' &&
+        prop.key.name === 'maxTokens'
+      ) {
+        prop.key = j.identifier('maxOutputTokens');
+        // If it's shorthand, update the value as well
+        if (prop.shorthand && prop.value.type === 'Identifier') {
+          prop.value = j.identifier('maxOutputTokens');
+        }
+        hasPatternChanges = true;
+      }
+    });
+    if (hasPatternChanges) {
+      context.hasChanges = true;
+    }
+  });
+
+  // Replace TypeScript interface/type properties
+  root
+    .find(j.TSPropertySignature)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' && key.name === 'maxTokens') ||
+        (key.type === 'StringLiteral' && key.value === 'maxTokens')
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        key.name = 'maxOutputTokens';
+        context.hasChanges = true;
+      } else if (key.type === 'StringLiteral') {
+        key.value = 'maxOutputTokens';
+        context.hasChanges = true;
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-message-to-ui-message.ts b/packages/codemod/src/codemods/v5/rename-message-to-ui-message.ts
new file mode 100644
index 000000000000..218236fab4db
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-message-to-ui-message.ts
@@ -0,0 +1,87 @@
+import { createTransformer } from '../lib/create-transformer';
+
+const renameMappings = {
+  Message: 'UIMessage',
+  CreateMessage: 'CreateUIMessage',
+};
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track which identifiers were imported from 'ai' and should be renamed
+  const importedFromAi = new Set<string>();
+
+  // Find import declarations from 'ai' and collect the imported names
+  root.find(j.ImportDeclaration).forEach(importPath => {
+    const node = importPath.node;
+
+    // Check if the source is 'ai'
+    if (node.source.value !== 'ai') return;
+
+    // Check named imports and rename them
+    const specifiers =
+      node.specifiers?.filter(s => j.ImportSpecifier.check(s)) ?? [];
+
+    for (const specifier of specifiers) {
+      if (
+        specifier.type === 'ImportSpecifier' &&
+        specifier.imported.type === 'Identifier' &&
+        renameMappings[specifier.imported.name as keyof typeof renameMappings]
+      ) {
+        const oldName = specifier.imported.name;
+        const newName = renameMappings[oldName as keyof typeof renameMappings];
+
+        // Track the local name that should be renamed in the code
+        const localName = specifier.local?.name || oldName;
+        importedFromAi.add(localName);
+
+        // Update the import name
+        specifier.imported.name = newName;
+
+        // If there's no alias, we also need to update the local name
+        if (!specifier.local || specifier.local.name === oldName) {
+          specifier.local = j.identifier(newName);
+        }
+
+        context.hasChanges = true;
+      }
+    }
+  });
+
+  // Only rename identifiers that were imported from 'ai'
+  if (importedFromAi.size > 0) {
+    root.find(j.Identifier).forEach(identifierPath => {
+      const node = identifierPath.node;
+
+      // Only rename if this identifier was imported from 'ai'
+      if (
+        importedFromAi.has(node.name) &&
+        renameMappings[node.name as keyof typeof renameMappings]
+      ) {
+        // Skip if this identifier is part of an import declaration (already handled above)
+        const parent = identifierPath.parent;
+        if (
+          parent &&
+          (j.ImportSpecifier.check(parent.node) ||
+            j.ImportDefaultSpecifier.check(parent.node) ||
+            j.ImportNamespaceSpecifier.check(parent.node))
+        ) {
+          return;
+        }
+
+        // Skip if this is a property name in an object (e.g., { Message: something })
+        if (
+          parent &&
+          j.Property.check(parent.node) &&
+          parent.node.key === node
+        ) {
+          return;
+        }
+
+        // Rename the identifier
+        node.name = renameMappings[node.name as keyof typeof renameMappings];
+        context.hasChanges = true;
+      }
+    });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/rename-mime-type-to-media-type.ts b/packages/codemod/src/codemods/v5/rename-mime-type-to-media-type.ts
new file mode 100644
index 000000000000..6fac9ee7221e
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-mime-type-to-media-type.ts
@@ -0,0 +1,141 @@
+import type { API, FileInfo } from 'jscodeshift';
+import { createTransformer } from '../lib/create-transformer';
+
+const AI_METHODS_WITH_MESSAGES = [
+  'generateText',
+  'streamText',
+  'generateObject',
+  'streamObject',
+  'generateSpeech',
+  'transcribe',
+  'streamUI',
+  'render',
+] as const;
+
+export default createTransformer(
+  (fileInfo: FileInfo, api: API, options, context) => {
+    const { j, root } = context;
+
+    // Find all call expressions to AI methods that accept messages
+    root
+      .find(j.CallExpression)
+      .filter(path => {
+        const callee = path.value.callee;
+        if (j.Identifier.check(callee)) {
+          return AI_METHODS_WITH_MESSAGES.includes(callee.name as any);
+        }
+        return false;
+      })
+      .forEach(path => {
+        const args = path.value.arguments;
+        if (args.length === 0) return;
+
+        const firstArg = args[0];
+        if (!j.ObjectExpression.check(firstArg)) return;
+
+        // Look for the messages property
+        const messagesProperty = firstArg.properties.find(prop => {
+          if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+            const key = prop.key;
+            return (
+              (j.Identifier.check(key) && key.name === 'messages') ||
+              (j.Literal.check(key) && key.value === 'messages') ||
+              (j.StringLiteral.check(key) && key.value === 'messages')
+            );
+          }
+          return false;
+        });
+
+        if (!messagesProperty) return;
+
+        const messagesProp = messagesProperty as any;
+        if (!j.ArrayExpression.check(messagesProp.value)) return;
+
+        // Iterate through messages array
+        messagesProp.value.elements.forEach((messageElement: any) => {
+          if (!j.ObjectExpression.check(messageElement)) return;
+
+          // Look for content property in message
+          const contentProperty = messageElement.properties.find(
+            (prop: any) => {
+              if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+                const key = prop.key;
+                return (
+                  (j.Identifier.check(key) && key.name === 'content') ||
+                  (j.Literal.check(key) && key.value === 'content') ||
+                  (j.StringLiteral.check(key) && key.value === 'content')
+                );
+              }
+              return false;
+            },
+          );
+
+          if (!contentProperty) return;
+
+          const contentProp = contentProperty as any;
+          if (!j.ArrayExpression.check(contentProp.value)) return;
+
+          // Iterate through content array
+          contentProp.value.elements.forEach((contentElement: any) => {
+            if (!j.ObjectExpression.check(contentElement)) return;
+
+            // Check if this is a file content object (has type: 'file')
+            const typeProperty = contentElement.properties.find((prop: any) => {
+              if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+                const key = prop.key;
+                const keyName = j.Identifier.check(key)
+                  ? key.name
+                  : j.Literal.check(key)
+                    ? key.value
+                    : j.StringLiteral.check(key)
+                      ? key.value
+                      : null;
+
+                if (keyName === 'type') {
+                  const value = prop.value;
+                  return (
+                    (j.Literal.check(value) && value.value === 'file') ||
+                    (j.StringLiteral.check(value) && value.value === 'file') ||
+                    (j.Identifier.check(value) && value.name === 'file')
+                  );
+                }
+              }
+              return false;
+            });
+
+            if (!typeProperty) return;
+
+            // Look for mimeType property and rename it to mediaType
+            const mimeTypeProperty = contentElement.properties.find(
+              (prop: any) => {
+                if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+                  const key = prop.key;
+                  return (
+                    (j.Identifier.check(key) && key.name === 'mimeType') ||
+                    (j.Literal.check(key) && key.value === 'mimeType') ||
+                    (j.StringLiteral.check(key) && key.value === 'mimeType')
+                  );
+                }
+                return false;
+              },
+            );
+
+            if (mimeTypeProperty) {
+              const mimeTypeProp = mimeTypeProperty as any;
+
+              // Rename the key
+              if (j.Identifier.check(mimeTypeProp.key)) {
+                mimeTypeProp.key.name = 'mediaType';
+              } else if (j.Literal.check(mimeTypeProp.key)) {
+                mimeTypeProp.key.value = 'mediaType';
+              } else if (j.StringLiteral.check(mimeTypeProp.key)) {
+                mimeTypeProp.key.value = 'mediaType';
+              }
+
+              context.hasChanges = true;
+            }
+          });
+        });
+      });
+  },
+);
diff --git a/packages/codemod/src/codemods/v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.ts b/packages/codemod/src/codemods/v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.ts
new file mode 100644
index 000000000000..88ad3e2ffbb8
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.ts
@@ -0,0 +1,71 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace method calls: result.pipeDataStreamToResponse() -> result.pipeUIMessageStreamToResponse()
+  root
+    .find(j.CallExpression)
+    .filter(path => {
+      return (
+        path.node.callee.type === 'MemberExpression' &&
+        path.node.callee.property.type === 'Identifier' &&
+        path.node.callee.property.name === 'pipeDataStreamToResponse'
+      );
+    })
+    .forEach(path => {
+      if (
+        path.node.callee.type === 'MemberExpression' &&
+        path.node.callee.property.type === 'Identifier'
+      ) {
+        path.node.callee.property.name = 'pipeUIMessageStreamToResponse';
+        context.hasChanges = true;
+      }
+    });
+
+  // Replace import specifiers from 'ai' package
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(specifier => {
+        if (
+          specifier.type === 'ImportSpecifier' &&
+          specifier.imported.type === 'Identifier' &&
+          specifier.imported.name === 'pipeDataStreamToResponse'
+        ) {
+          specifier.imported.name = 'pipeUIMessageStreamToResponse';
+          context.hasChanges = true;
+        }
+      });
+    });
+
+  // Replace standalone function references
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      // Only replace identifiers that are not property names in member expressions
+      const parent = path.parent;
+      return (
+        path.node.name === 'pipeDataStreamToResponse' &&
+        parent.node.type !== 'ImportSpecifier' &&
+        !(
+          parent.node.type === 'MemberExpression' &&
+          parent.node.property === path.node
+        ) &&
+        !(parent.node.type === 'Property' && parent.node.key === path.node) &&
+        !(
+          parent.node.type === 'ObjectProperty' && parent.node.key === path.node
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.name = 'pipeUIMessageStreamToResponse';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-reasoning-properties.ts b/packages/codemod/src/codemods/v5/rename-reasoning-properties.ts
new file mode 100644
index 000000000000..99ef3271dac7
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-reasoning-properties.ts
@@ -0,0 +1,146 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace member expressions (e.g., result.reasoning -> result.reasoningText)
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const property = path.node.property;
+      return (
+        property.type === 'Identifier' &&
+        (property.name === 'reasoning' || property.name === 'reasoningDetails')
+      );
+    })
+    .forEach(path => {
+      const property = path.node.property;
+      if (property.type === 'Identifier') {
+        if (property.name === 'reasoning') {
+          property.name = 'reasoningText';
+          context.hasChanges = true;
+        } else if (property.name === 'reasoningDetails') {
+          property.name = 'reasoning';
+          context.hasChanges = true;
+        }
+      }
+    });
+
+  // Replace string literal property access (e.g., result['reasoning'])
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const property = path.node.property;
+      return (
+        property.type === 'StringLiteral' &&
+        (property.value === 'reasoning' ||
+          property.value === 'reasoningDetails')
+      );
+    })
+    .forEach(path => {
+      const property = path.node.property;
+      if (property.type === 'StringLiteral') {
+        if (property.value === 'reasoning') {
+          property.value = 'reasoningText';
+          context.hasChanges = true;
+        } else if (property.value === 'reasoningDetails') {
+          property.value = 'reasoning';
+          context.hasChanges = true;
+        }
+      }
+    });
+
+  // Replace object property keys in object literals
+  root
+    .find(j.ObjectProperty)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' &&
+          (key.name === 'reasoning' || key.name === 'reasoningDetails')) ||
+        (key.type === 'StringLiteral' &&
+          (key.value === 'reasoning' || key.value === 'reasoningDetails'))
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        if (key.name === 'reasoning') {
+          key.name = 'reasoningText';
+          context.hasChanges = true;
+        } else if (key.name === 'reasoningDetails') {
+          key.name = 'reasoning';
+          context.hasChanges = true;
+        }
+      } else if (key.type === 'StringLiteral') {
+        if (key.value === 'reasoning') {
+          key.value = 'reasoningText';
+          context.hasChanges = true;
+        } else if (key.value === 'reasoningDetails') {
+          key.value = 'reasoning';
+          context.hasChanges = true;
+        }
+      }
+    });
+
+  // Replace destructuring patterns in variable declarations and function parameters
+  root.find(j.ObjectPattern).forEach(path => {
+    path.node.properties.forEach(prop => {
+      if (prop.type === 'ObjectProperty' || prop.type === 'Property') {
+        const key = prop.key;
+        if (key.type === 'Identifier') {
+          if (key.name === 'reasoning') {
+            // If it's shorthand, convert to explicit renaming
+            if (prop.shorthand) {
+              prop.shorthand = false;
+              prop.value = j.identifier('reasoning');
+            }
+            key.name = 'reasoningText';
+            context.hasChanges = true;
+          } else if (key.name === 'reasoningDetails') {
+            // If it's shorthand, convert to explicit renaming
+            if (prop.shorthand) {
+              prop.shorthand = false;
+              prop.value = j.identifier('reasoningDetails');
+            }
+            key.name = 'reasoning';
+            context.hasChanges = true;
+          }
+        }
+      }
+    });
+  });
+
+  // Replace TypeScript interface/type properties
+  root
+    .find(j.TSPropertySignature)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' &&
+          (key.name === 'reasoning' || key.name === 'reasoningDetails')) ||
+        (key.type === 'StringLiteral' &&
+          (key.value === 'reasoning' || key.value === 'reasoningDetails'))
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        if (key.name === 'reasoning') {
+          key.name = 'reasoningText';
+          context.hasChanges = true;
+        } else if (key.name === 'reasoningDetails') {
+          key.name = 'reasoning';
+          context.hasChanges = true;
+        }
+      } else if (key.type === 'StringLiteral') {
+        if (key.value === 'reasoning') {
+          key.value = 'reasoningText';
+          context.hasChanges = true;
+        } else if (key.value === 'reasoningDetails') {
+          key.value = 'reasoning';
+          context.hasChanges = true;
+        }
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-reasoning-to-reasoningText.ts b/packages/codemod/src/codemods/v5/rename-reasoning-to-reasoningText.ts
new file mode 100644
index 000000000000..2f6f0c9fe134
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-reasoning-to-reasoningText.ts
@@ -0,0 +1,134 @@
+import { ASTPath } from 'jscodeshift';
+import { createTransformer } from '../lib/create-transformer';
+
+/*
+`steps[].reasoning` is renamed to `steps[].reasoningText`
+for `{steps}` destructured from `generateText()`.
+*/
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Collect names of variables that are assigned `steps` from `generateText`
+  const stepsIdentifiers = new Set<string>();
+
+  // Step 1: Find destructuring from `generateText()`
+  root
+    .find(j.VariableDeclarator, {
+      id: { type: 'ObjectPattern' },
+      init: { type: 'AwaitExpression' },
+    })
+    .filter(path => {
+      const init = path.node.init;
+
+      if (
+        init?.type !== 'AwaitExpression' ||
+        init.argument?.type !== 'CallExpression'
+      ) {
+        return false;
+      }
+
+      const callee = init.argument.callee;
+
+      return callee.type === 'Identifier' && callee.name === 'generateText';
+    })
+    .forEach(path => {
+      if (path.node.id.type !== 'ObjectPattern') return;
+
+      path.node.id.properties.forEach(prop => {
+        if (prop.type !== 'ObjectProperty') return;
+        if (prop.key.type !== 'Identifier') return;
+
+        if (prop.key.name === 'steps' && prop.value.type === 'Identifier') {
+          stepsIdentifiers.add(prop.value.name); // usually 'steps'
+        }
+      });
+    });
+
+  if (stepsIdentifiers.size === 0) return null;
+
+  const pathsAndStepNames: {
+    path: ASTPath;
+    stepName: string;
+  }[] = [];
+
+  // Step 2a: Look for `forEach` calls on `steps`
+  root
+    .find(j.CallExpression, {
+      callee: {
+        type: 'MemberExpression',
+        property: {
+          type: 'Identifier',
+          name: 'forEach',
+        },
+      },
+    })
+    .filter(path => {
+      const callee = path.node.callee;
+
+      if (callee.type !== 'MemberExpression') return false;
+
+      return (
+        callee.object.type === 'Identifier' &&
+        stepsIdentifiers.has(callee.object.name)
+      );
+    })
+    .forEach(path => {
+      const arg = path.node.arguments[0];
+      if (arg.type !== 'ArrowFunctionExpression') return;
+
+      const param = arg.params[0];
+      if (param.type !== 'Identifier') return;
+
+      const stepName = param.name;
+      pathsAndStepNames.push({
+        path,
+        stepName,
+      });
+    });
+
+  // Step 2b: Look for `for...of` loops on `steps`
+  const forOfPaths = root
+    .find(j.ForOfStatement)
+    .filter(path => {
+      const right = path.node.right;
+      return right.type === 'Identifier' && stepsIdentifiers.has(right.name);
+    })
+    .forEach(path => {
+      const stepVar = path.node.left;
+      let stepName = null;
+
+      if (stepVar.type === 'VariableDeclaration') {
+        const declaration = stepVar.declarations[0];
+        if (declaration.type !== 'VariableDeclarator') return;
+
+        if (declaration.id.type === 'Identifier') {
+          stepName = declaration.id.name;
+        }
+      } else if (stepVar.type === 'Identifier') {
+        stepName = stepVar.name;
+      }
+
+      if (!stepName) return;
+
+      pathsAndStepNames.push({
+        path,
+        stepName,
+      });
+    });
+
+  // Step 3: Rename `reasoning` to `reasoningText` in the identified paths
+  pathsAndStepNames.forEach(({ path, stepName }) => {
+    j(path)
+      .find(j.MemberExpression, {
+        object: { type: 'Identifier', name: stepName },
+        property: { type: 'Identifier', name: 'reasoning' },
+      })
+      .forEach(memberPath => {
+        if (memberPath.node.property.type !== 'Identifier') return;
+
+        memberPath.node.property.name = 'reasoningText';
+        context.hasChanges = true; // Mark that changes were made
+      });
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-request-options.ts b/packages/codemod/src/codemods/v5/rename-request-options.ts
new file mode 100644
index 000000000000..6c2a57087978
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-request-options.ts
@@ -0,0 +1,76 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  let hasChanges = false;
+
+  // Find and rename imports
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return !!(
+        path.node.source.value === 'ai' &&
+        path.node.specifiers &&
+        path.node.specifiers.some(
+          spec =>
+            spec.type === 'ImportSpecifier' &&
+            spec.imported.type === 'Identifier' &&
+            spec.imported.name === 'RequestOptions',
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.specifiers?.forEach(spec => {
+        if (
+          spec.type === 'ImportSpecifier' &&
+          spec.imported.type === 'Identifier' &&
+          spec.imported.name === 'RequestOptions'
+        ) {
+          spec.imported.name = 'CompletionRequestOptions';
+
+          // If there's no alias, we also need to rename all usages in the file
+          if (!spec.local || spec.local.name === 'RequestOptions') {
+            if (spec.local) {
+              spec.local.name = 'CompletionRequestOptions';
+            }
+
+            // Rename all type references in the file
+            root
+              .find(j.TSTypeReference)
+              .filter(typePath => {
+                return (
+                  typePath.node.typeName.type === 'Identifier' &&
+                  typePath.node.typeName.name === 'RequestOptions'
+                );
+              })
+              .forEach(typePath => {
+                if (typePath.node.typeName.type === 'Identifier') {
+                  typePath.node.typeName.name = 'CompletionRequestOptions';
+                }
+              });
+
+            // Also handle any other identifier usages
+            root
+              .find(j.Identifier)
+              .filter(idPath => {
+                return (
+                  idPath.node.name === 'RequestOptions' &&
+                  // Make sure it's not part of an import we already handled
+                  idPath.parent.node.type !== 'ImportSpecifier'
+                );
+              })
+              .forEach(idPath => {
+                idPath.node.name = 'CompletionRequestOptions';
+              });
+          }
+
+          hasChanges = true;
+        }
+      });
+    });
+
+  if (hasChanges) {
+    context.hasChanges = true;
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/rename-todatastreamresponse-to-touimessagestreamresponse.ts b/packages/codemod/src/codemods/v5/rename-todatastreamresponse-to-touimessagestreamresponse.ts
new file mode 100644
index 000000000000..50e319e515b0
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-todatastreamresponse-to-touimessagestreamresponse.ts
@@ -0,0 +1,49 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace method calls: result.toDataStreamResponse() -> result.toUIMessageStreamResponse()
+  root
+    .find(j.CallExpression)
+    .filter(path => {
+      return (
+        path.node.callee.type === 'MemberExpression' &&
+        path.node.callee.property.type === 'Identifier' &&
+        path.node.callee.property.name === 'toDataStreamResponse'
+      );
+    })
+    .forEach(path => {
+      if (
+        path.node.callee.type === 'MemberExpression' &&
+        path.node.callee.property.type === 'Identifier'
+      ) {
+        path.node.callee.property.name = 'toUIMessageStreamResponse';
+        context.hasChanges = true;
+      }
+    });
+
+  // Replace standalone function references (if they exist)
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      // Only replace identifiers that are not property names in member expressions
+      const parent = path.parent;
+      return (
+        path.node.name === 'toDataStreamResponse' &&
+        parent.node.type !== 'ImportSpecifier' &&
+        !(
+          parent.node.type === 'MemberExpression' &&
+          parent.node.property === path.node
+        ) &&
+        !(parent.node.type === 'Property' && parent.node.key === path.node) &&
+        !(
+          parent.node.type === 'ObjectProperty' && parent.node.key === path.node
+        )
+      );
+    })
+    .forEach(path => {
+      path.node.name = 'toUIMessageStreamResponse';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rename-tool-parameters-to-inputschema.ts b/packages/codemod/src/codemods/v5/rename-tool-parameters-to-inputschema.ts
new file mode 100644
index 000000000000..9440b31ec0b9
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rename-tool-parameters-to-inputschema.ts
@@ -0,0 +1,105 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find tool() function calls and rename parameters to inputSchema
+  root
+    .find(j.CallExpression)
+    .filter(path => {
+      return (
+        path.node.callee.type === 'Identifier' &&
+        path.node.callee.name === 'tool' &&
+        path.node.arguments.length > 0 &&
+        path.node.arguments[0].type === 'ObjectExpression'
+      );
+    })
+    .forEach(path => {
+      const firstArg = path.node.arguments[0];
+      if (firstArg.type === 'ObjectExpression') {
+        firstArg.properties.forEach(prop => {
+          if (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'parameters'
+          ) {
+            prop.key.name = 'inputSchema';
+            context.hasChanges = true;
+          }
+        });
+      }
+    });
+
+  // Also handle object properties in tool definitions within tool objects
+  root
+    .find(j.ObjectProperty)
+    .filter(path => {
+      // Look for tool definitions in objects like { weatherTool: { parameters: ... } }
+      return (
+        path.node.key.type === 'Identifier' &&
+        path.node.key.name === 'parameters' &&
+        path.node.value.type !== 'FunctionExpression' && // Not a function parameter
+        path.node.value.type !== 'ArrowFunctionExpression' // Not arrow function parameter
+      );
+    })
+    .forEach(path => {
+      // Check if this looks like it's inside a tool definition
+      // We look for sibling properties that suggest this is a tool
+      const parent = path.parent;
+      if (parent && parent.node.type === 'ObjectExpression') {
+        const siblingKeys = parent.node.properties
+          .filter(
+            (prop: any) =>
+              (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+              prop.key.type === 'Identifier',
+          )
+          .map((prop: any) => prop.key.name);
+
+        // If we find typical tool properties, assume this is a tool definition
+        if (
+          siblingKeys.includes('description') ||
+          siblingKeys.includes('execute')
+        ) {
+          if (path.node.key.type === 'Identifier') {
+            path.node.key.name = 'inputSchema';
+            context.hasChanges = true;
+          }
+        }
+      }
+    });
+
+  // Handle Property nodes (alternative AST representation)
+  root
+    .find(j.Property)
+    .filter(path => {
+      return (
+        path.node.key.type === 'Identifier' &&
+        path.node.key.name === 'parameters' &&
+        path.node.value.type !== 'FunctionExpression' &&
+        path.node.value.type !== 'ArrowFunctionExpression'
+      );
+    })
+    .forEach(path => {
+      // Check if this looks like it's inside a tool definition
+      const parent = path.parent;
+      if (parent && parent.node.type === 'ObjectExpression') {
+        const siblingKeys = parent.node.properties
+          .filter(
+            (prop: any) =>
+              (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+              prop.key.type === 'Identifier',
+          )
+          .map((prop: any) => prop.key.name);
+
+        if (
+          siblingKeys.includes('description') ||
+          siblingKeys.includes('execute')
+        ) {
+          if (path.node.key.type === 'Identifier') {
+            path.node.key.name = 'inputSchema';
+            context.hasChanges = true;
+          }
+        }
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-bedrock-snake-case.ts b/packages/codemod/src/codemods/v5/replace-bedrock-snake-case.ts
new file mode 100644
index 000000000000..05bd517ab964
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-bedrock-snake-case.ts
@@ -0,0 +1,63 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Helper function to convert snake_case to camelCase
+  function snakeToCamel(str: string): string {
+    return str.replace(/_([a-z])/g, (match, letter) => letter.toUpperCase());
+  }
+
+  // Helper function to recursively transform snake_case properties in an object
+  function transformBedrockProperties(objExpression: any) {
+    if (objExpression.type !== 'ObjectExpression') return;
+
+    objExpression.properties.forEach((prop: any) => {
+      if (
+        (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+        prop.key.type === 'Identifier'
+      ) {
+        const originalName = prop.key.name;
+        const camelCaseName = snakeToCamel(originalName);
+
+        // Only transform if the name actually changes (contains snake_case)
+        if (originalName !== camelCaseName && originalName.includes('_')) {
+          context.hasChanges = true;
+          prop.key = j.identifier(camelCaseName);
+        }
+
+        // Recursively transform nested objects
+        if (prop.value.type === 'ObjectExpression') {
+          transformBedrockProperties(prop.value);
+        }
+      }
+    });
+  }
+
+  // Find all ObjectExpression nodes that could contain providerOptions
+  root.find(j.ObjectExpression).forEach(objectPath => {
+    // Look for providerOptions property within this object
+    objectPath.node.properties.forEach((prop: any) => {
+      if (
+        (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+        prop.key.type === 'Identifier' &&
+        prop.key.name === 'providerOptions' &&
+        prop.value.type === 'ObjectExpression'
+      ) {
+        // Found providerOptions, now look for bedrock property
+        prop.value.properties.forEach((providerProp: any) => {
+          if (
+            (providerProp.type === 'ObjectProperty' ||
+              providerProp.type === 'Property') &&
+            providerProp.key.type === 'Identifier' &&
+            providerProp.key.name === 'bedrock' &&
+            providerProp.value.type === 'ObjectExpression'
+          ) {
+            // Found bedrock, transform its properties
+            transformBedrockProperties(providerProp.value);
+          }
+        });
+      }
+    });
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-content-with-parts.ts b/packages/codemod/src/codemods/v5/replace-content-with-parts.ts
new file mode 100644
index 000000000000..910e15f94721
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-content-with-parts.ts
@@ -0,0 +1,147 @@
+import type { API, FileInfo } from 'jscodeshift';
+import { createTransformer } from '../lib/create-transformer';
+
+const AI_METHODS_WITH_MESSAGES = [
+  'generateText',
+  'streamText',
+  'generateObject',
+  'streamObject',
+  'generateSpeech',
+  'transcribe',
+  'streamUI',
+  'render',
+] as const;
+
+export default createTransformer(
+  (fileInfo: FileInfo, api: API, options, context) => {
+    const { j, root } = context;
+
+    // Find all call expressions to AI methods that accept messages
+    root
+      .find(j.CallExpression)
+      .filter(path => {
+        const callee = path.value.callee;
+        if (j.Identifier.check(callee)) {
+          return AI_METHODS_WITH_MESSAGES.includes(callee.name as any);
+        }
+        return false;
+      })
+      .forEach(path => {
+        const args = path.value.arguments;
+        if (args.length === 0) return;
+
+        const firstArg = args[0];
+        if (!j.ObjectExpression.check(firstArg)) return;
+
+        // Look for the messages property
+        const messagesProperty = firstArg.properties.find(prop => {
+          if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+            const key = prop.key;
+            return (
+              (j.Identifier.check(key) && key.name === 'messages') ||
+              (j.Literal.check(key) && key.value === 'messages') ||
+              (j.StringLiteral.check(key) && key.value === 'messages')
+            );
+          }
+          return false;
+        });
+
+        if (!messagesProperty) return;
+
+        const messagesProp = messagesProperty as any;
+        if (!j.ArrayExpression.check(messagesProp.value)) return;
+
+        // Iterate through messages array
+        messagesProp.value.elements.forEach((messageElement: any) => {
+          if (!j.ObjectExpression.check(messageElement)) return;
+
+          // Look for content property in message
+          const contentPropertyIndex = messageElement.properties.findIndex(
+            (prop: any) => {
+              if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+                const key = prop.key;
+                return (
+                  (j.Identifier.check(key) && key.name === 'content') ||
+                  (j.Literal.check(key) && key.value === 'content') ||
+                  (j.StringLiteral.check(key) && key.value === 'content')
+                );
+              }
+              return false;
+            },
+          );
+
+          if (contentPropertyIndex === -1) return;
+
+          const contentProperty = messageElement.properties[
+            contentPropertyIndex
+          ] as any;
+
+          // Check if there's already a parts property
+          const hasPartsProperty = messageElement.properties.some(
+            (prop: any) => {
+              if (j.Property.check(prop) || j.ObjectProperty.check(prop)) {
+                const key = prop.key;
+                return (
+                  (j.Identifier.check(key) && key.name === 'parts') ||
+                  (j.Literal.check(key) && key.value === 'parts') ||
+                  (j.StringLiteral.check(key) && key.value === 'parts')
+                );
+              }
+              return false;
+            },
+          );
+
+          // Don't transform if parts already exists
+          if (hasPartsProperty) return;
+
+          const contentValue = contentProperty.value;
+
+          // Create parts array based on content type
+          let partsArray;
+
+          if (
+            j.StringLiteral.check(contentValue) ||
+            j.Literal.check(contentValue)
+          ) {
+            // String content -> parts: [{ type: 'text', text: content }]
+            partsArray = j.arrayExpression([
+              j.objectExpression([
+                j.property('init', j.identifier('type'), j.literal('text')),
+                j.property('init', j.identifier('text'), contentValue),
+              ]),
+            ]);
+          } else if (j.TemplateLiteral.check(contentValue)) {
+            // Template literal -> parts: [{ type: 'text', text: contentValue }]
+            partsArray = j.arrayExpression([
+              j.objectExpression([
+                j.property('init', j.identifier('type'), j.literal('text')),
+                j.property('init', j.identifier('text'), contentValue),
+              ]),
+            ]);
+          } else if (j.ArrayExpression.check(contentValue)) {
+            // If content is already an array, assume it's parts-like and use as-is
+            partsArray = contentValue;
+          } else {
+            // For other expressions (variables, function calls, etc.)
+            // Transform to parts: [{ type: 'text', text: content }]
+            partsArray = j.arrayExpression([
+              j.objectExpression([
+                j.property('init', j.identifier('type'), j.literal('text')),
+                j.property('init', j.identifier('text'), contentValue),
+              ]),
+            ]);
+          }
+
+          // Replace content property with parts property
+          const partsProperty = j.property(
+            'init',
+            j.identifier('parts'),
+            partsArray,
+          );
+          messageElement.properties[contentPropertyIndex] = partsProperty;
+
+          context.hasChanges = true;
+        });
+      });
+  },
+);
diff --git a/packages/codemod/src/codemods/v5/replace-experimental-provider-metadata.ts b/packages/codemod/src/codemods/v5/replace-experimental-provider-metadata.ts
new file mode 100644
index 000000000000..3965e5f6c64d
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-experimental-provider-metadata.ts
@@ -0,0 +1,54 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  let hasChanges = false;
+
+  // AI methods that accept providerOptions
+  const aiMethods = [
+    'embed',
+    'embedMany',
+    'generateText',
+    'generateObject',
+    'streamObject',
+    'streamText',
+    'generateSpeech',
+    'transcribe',
+    'streamUI',
+    'render',
+  ];
+
+  // Find AI method calls and rename experimental_providerMetadata to providerOptions
+  root.find(j.CallExpression).forEach(path => {
+    const { callee, arguments: args } = path.node;
+
+    // Check if this is an AI method call
+    if (
+      callee.type === 'Identifier' &&
+      aiMethods.includes(callee.name) &&
+      args.length > 0
+    ) {
+      const firstArg = args[0];
+
+      // The first argument should be an object with properties
+      if (firstArg.type === 'ObjectExpression') {
+        firstArg.properties.forEach(prop => {
+          const isPropertyType =
+            prop.type === 'Property' || prop.type === 'ObjectProperty';
+
+          if (isPropertyType && prop.key && prop.key.type === 'Identifier') {
+            if (prop.key.name === 'experimental_providerMetadata') {
+              prop.key.name = 'providerOptions';
+              hasChanges = true;
+            }
+          }
+        });
+      }
+    }
+  });
+
+  if (hasChanges) {
+    context.hasChanges = true;
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/replace-generatetext-text-property.ts b/packages/codemod/src/codemods/v5/replace-generatetext-text-property.ts
new file mode 100644
index 000000000000..ba1a4b6f020d
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-generatetext-text-property.ts
@@ -0,0 +1,46 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find member expressions that match: result.text, result1.text, result2.text, etc.
+  // where result is an identifier (not already a member expression)
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const node = path.node;
+
+      // Must be accessing a property called 'text'
+      if (!j.Identifier.check(node.property) || node.property.name !== 'text') {
+        return false;
+      }
+
+      // The object must be a simple identifier (not a member expression)
+      if (!j.Identifier.check(node.object)) {
+        return false;
+      }
+
+      // The identifier should be a common generateText result variable name
+      const commonNames = [
+        'result',
+        'response',
+        'output',
+        'data',
+        'textResult',
+      ];
+      const objName = node.object.name;
+      return commonNames.includes(objName) || objName.startsWith('result');
+    })
+    .forEach(path => {
+      // Transform result.text to result.text.text by creating a new member expression
+      // and setting the object to be the current member expression
+      const newMemberExpression = j.memberExpression(
+        path.node,
+        j.identifier('text'),
+      );
+
+      // Replace the entire member expression with the new nested one
+      path.replace(newMemberExpression);
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-image-type-with-file-type.ts b/packages/codemod/src/codemods/v5/replace-image-type-with-file-type.ts
new file mode 100644
index 000000000000..8bdc7a98a3f9
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-image-type-with-file-type.ts
@@ -0,0 +1,59 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find object expressions that have a property 'type' with value 'image'
+  root
+    .find(j.ObjectExpression)
+    .filter(path => {
+      const node = path.node;
+
+      // Check if this object has a 'type' property with value 'image'
+      const typeProperty = node.properties.find(prop => {
+        if (
+          j.Property.check(prop) &&
+          j.Identifier.check(prop.key) &&
+          prop.key.name === 'type' &&
+          j.Literal.check(prop.value) &&
+          prop.value.value === 'image'
+        ) {
+          return true;
+        }
+        return false;
+      });
+
+      if (!typeProperty) {
+        return false;
+      }
+
+      // Additional check: ensure this object also has an 'image' property
+      // to distinguish from other objects that might have type: 'image'
+      const hasImageProperty = node.properties.some(prop => {
+        return (
+          j.Property.check(prop) &&
+          j.Identifier.check(prop.key) &&
+          prop.key.name === 'image'
+        );
+      });
+
+      return hasImageProperty;
+    })
+    .forEach(path => {
+      const node = path.node;
+
+      // Find and update the 'type' property
+      node.properties.forEach(prop => {
+        if (
+          j.Property.check(prop) &&
+          j.Identifier.check(prop.key) &&
+          prop.key.name === 'type' &&
+          j.Literal.check(prop.value) &&
+          prop.value.value === 'image'
+        ) {
+          prop.value.value = 'file';
+          context.hasChanges = true;
+        }
+      });
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-llamaindex-adapter.ts b/packages/codemod/src/codemods/v5/replace-llamaindex-adapter.ts
new file mode 100644
index 000000000000..46c949c62aba
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-llamaindex-adapter.ts
@@ -0,0 +1,75 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  let needsToUIMessageStreamImport = false;
+  let shouldRemoveLlamaIndexAdapter = false;
+
+  // Find LlamaIndexAdapter.toDataStreamResponse() calls and replace them
+  root.find(j.CallExpression).forEach(path => {
+    const { callee } = path.node;
+
+    // Check if this is LlamaIndexAdapter.toDataStreamResponse()
+    if (
+      callee.type === 'MemberExpression' &&
+      callee.object.type === 'Identifier' &&
+      callee.object.name === 'LlamaIndexAdapter' &&
+      callee.property.type === 'Identifier' &&
+      callee.property.name === 'toDataStreamResponse'
+    ) {
+      context.hasChanges = true;
+      needsToUIMessageStreamImport = true;
+      shouldRemoveLlamaIndexAdapter = true;
+
+      // Replace LlamaIndexAdapter.toDataStreamResponse() with toUIMessageStream()
+      path.node.callee = j.identifier('toUIMessageStream');
+    }
+  });
+
+  if (needsToUIMessageStreamImport) {
+    // Add import for toUIMessageStream from @ai-sdk/llamaindex
+    const llamaIndexImport = j.importDeclaration(
+      [j.importSpecifier(j.identifier('toUIMessageStream'))],
+      j.literal('@ai-sdk/llamaindex'),
+    );
+
+    // Find the first import declaration to add the new import after it
+    const firstImport = root.find(j.ImportDeclaration).at(0);
+    if (firstImport.length > 0) {
+      firstImport.insertAfter(llamaIndexImport);
+    } else {
+      // If no imports exist, add at the beginning
+      root.get().node.body.unshift(llamaIndexImport);
+    }
+  }
+
+  if (shouldRemoveLlamaIndexAdapter) {
+    // Remove or update the 'ai' import that includes LlamaIndexAdapter
+    root
+      .find(j.ImportDeclaration, {
+        source: { value: 'ai' },
+      })
+      .forEach(path => {
+        const specifiers = path.node.specifiers || [];
+
+        // Filter out LlamaIndexAdapter
+        const filteredSpecifiers = specifiers.filter(
+          spec =>
+            !(
+              spec.type === 'ImportSpecifier' &&
+              spec.imported.type === 'Identifier' &&
+              spec.imported.name === 'LlamaIndexAdapter'
+            ),
+        );
+
+        if (filteredSpecifiers.length === 0) {
+          // Remove the entire import if no other specifiers remain
+          j(path).remove();
+        } else if (filteredSpecifiers.length !== specifiers.length) {
+          // Update the import to remove LlamaIndexAdapter
+          path.node.specifiers = filteredSpecifiers;
+        }
+      });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/replace-oncompletion-with-onfinal.ts b/packages/codemod/src/codemods/v5/replace-oncompletion-with-onfinal.ts
new file mode 100644
index 000000000000..b7de9d148280
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-oncompletion-with-onfinal.ts
@@ -0,0 +1,42 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find toAIStream method calls and transform onCompletion to onFinal
+  root.find(j.CallExpression).forEach(path => {
+    const { callee } = path.node;
+
+    // Check if this is a toAIStream method call
+    if (
+      callee.type === 'MemberExpression' &&
+      callee.property.type === 'Identifier' &&
+      callee.property.name === 'toAIStream'
+    ) {
+      // Check if there's an object argument
+      const args = path.node.arguments;
+      if (args.length > 0 && args[0].type === 'ObjectExpression') {
+        const objectArg = args[0];
+
+        // Look for onCompletion property and rename it to onFinal
+        objectArg.properties.forEach(prop => {
+          if (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'onCompletion'
+          ) {
+            context.hasChanges = true;
+            prop.key.name = 'onFinal';
+          } else if (
+            prop.type === 'ObjectMethod' &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'onCompletion'
+          ) {
+            context.hasChanges = true;
+            prop.key.name = 'onFinal';
+          }
+        });
+      }
+    }
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-provider-metadata-with-provider-options.ts b/packages/codemod/src/codemods/v5/replace-provider-metadata-with-provider-options.ts
new file mode 100644
index 000000000000..01dab45a13da
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-provider-metadata-with-provider-options.ts
@@ -0,0 +1,141 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace object property keys from providerMetadata to providerOptions
+  root
+    .find(j.ObjectProperty)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' && key.name === 'providerMetadata') ||
+        (key.type === 'StringLiteral' && key.value === 'providerMetadata')
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        key.name = 'providerOptions';
+      } else if (key.type === 'StringLiteral') {
+        key.value = 'providerOptions';
+      }
+      context.hasChanges = true;
+    });
+
+  // Replace object method keys from providerMetadata to providerOptions
+  root
+    .find(j.ObjectMethod)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' && key.name === 'providerMetadata') ||
+        (key.type === 'StringLiteral' && key.value === 'providerMetadata')
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        key.name = 'providerOptions';
+      } else if (key.type === 'StringLiteral') {
+        key.value = 'providerOptions';
+      }
+      context.hasChanges = true;
+    });
+
+  // Replace member expressions (e.g., params.providerMetadata)
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const property = path.node.property;
+      return (
+        (property.type === 'Identifier' &&
+          property.name === 'providerMetadata') ||
+        (property.type === 'StringLiteral' &&
+          property.value === 'providerMetadata')
+      );
+    })
+    .forEach(path => {
+      const property = path.node.property;
+      if (property.type === 'Identifier') {
+        property.name = 'providerOptions';
+      } else if (property.type === 'StringLiteral') {
+        property.value = 'providerOptions';
+      }
+      context.hasChanges = true;
+    });
+
+  // Replace identifier references to providerMetadata variables
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      // Only replace identifiers that are not part of object keys or member expressions
+      // and are not in destructuring patterns (which are handled separately)
+      const parent = path.parent;
+      return (
+        path.node.name === 'providerMetadata' &&
+        parent.node.type !== 'ObjectProperty' &&
+        parent.node.type !== 'ObjectMethod' &&
+        parent.node.type !== 'MemberExpression' &&
+        parent.node.type !== 'TSPropertySignature' &&
+        !(parent.node.type === 'Property' && parent.node.key === path.node)
+      );
+    })
+    .forEach(path => {
+      path.node.name = 'providerOptions';
+      context.hasChanges = true;
+    });
+
+  // Replace destructuring patterns in function parameters and variable declarations
+  root.find(j.ObjectPattern).forEach(path => {
+    path.node.properties.forEach(prop => {
+      if (prop.type === 'ObjectProperty') {
+        const key = prop.key;
+        if (
+          (key.type === 'Identifier' && key.name === 'providerMetadata') ||
+          (key.type === 'StringLiteral' && key.value === 'providerMetadata')
+        ) {
+          if (key.type === 'Identifier') {
+            key.name = 'providerOptions';
+          } else if (key.type === 'StringLiteral') {
+            key.value = 'providerOptions';
+          }
+          context.hasChanges = true;
+        }
+      } else if (prop.type === 'Property') {
+        const key = prop.key;
+        if (
+          (key.type === 'Identifier' && key.name === 'providerMetadata') ||
+          (key.type === 'StringLiteral' && key.value === 'providerMetadata')
+        ) {
+          if (key.type === 'Identifier') {
+            key.name = 'providerOptions';
+          } else if (key.type === 'StringLiteral') {
+            key.value = 'providerOptions';
+          }
+          context.hasChanges = true;
+        }
+      }
+    });
+  });
+
+  // Replace type annotations and interface properties
+  root
+    .find(j.TSPropertySignature)
+    .filter(path => {
+      const key = path.node.key;
+      return (
+        (key.type === 'Identifier' && key.name === 'providerMetadata') ||
+        (key.type === 'StringLiteral' && key.value === 'providerMetadata')
+      );
+    })
+    .forEach(path => {
+      const key = path.node.key;
+      if (key.type === 'Identifier') {
+        key.name = 'providerOptions';
+      } else if (key.type === 'StringLiteral') {
+        key.value = 'providerOptions';
+      }
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-rawresponse-with-response.ts b/packages/codemod/src/codemods/v5/replace-rawresponse-with-response.ts
new file mode 100644
index 000000000000..83507b212297
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-rawresponse-with-response.ts
@@ -0,0 +1,271 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Methods that return objects with rawResponse
+  const aiMethods = [
+    'embed',
+    'embedMany',
+    'generateText',
+    'generateObject',
+    'streamObject',
+    'streamText',
+  ];
+
+  // Track variable names that store results from AI methods
+  const aiResultVariables = new Set<string>();
+  // Track destructured rawResponse variable names and their new names
+  const destructuredMapping = new Map<string, string>();
+
+  // Find variable declarations from AI method calls
+  root.find(j.VariableDeclarator).forEach(path => {
+    const { id, init } = path.node;
+
+    // Handle await AI method calls
+    if (
+      init &&
+      init.type === 'AwaitExpression' &&
+      init.argument &&
+      init.argument.type === 'CallExpression' &&
+      init.argument.callee.type === 'Identifier' &&
+      aiMethods.includes(init.argument.callee.name)
+    ) {
+      if (id.type === 'Identifier') {
+        aiResultVariables.add(id.name);
+      } else if (id.type === 'ObjectPattern') {
+        // Check if both response and rawResponse are present
+        const hasResponse = id.properties.some(
+          prop =>
+            (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'response',
+        );
+
+        let rawResponseVarName: string | null = null;
+
+        // First pass: find rawResponse and track its variable name
+        id.properties.forEach(prop => {
+          if (
+            (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'rawResponse' &&
+            prop.value.type === 'Identifier'
+          ) {
+            rawResponseVarName = prop.value.name;
+          }
+        });
+
+        // Second pass: handle the transformation
+        if (hasResponse && rawResponseVarName) {
+          // If response already exists, remove rawResponse and map its variable to 'response'
+          id.properties = id.properties.filter(
+            prop =>
+              !(
+                (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+                prop.key.type === 'Identifier' &&
+                prop.key.name === 'rawResponse'
+              ),
+          );
+
+          // Find the response variable name to map rawResponse variable to it
+          const responseProp = id.properties.find(
+            prop =>
+              (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+              prop.key.type === 'Identifier' &&
+              prop.key.name === 'response',
+          ) as any;
+
+          if (
+            responseProp &&
+            responseProp.value &&
+            responseProp.value.type === 'Identifier'
+          ) {
+            destructuredMapping.set(
+              rawResponseVarName,
+              responseProp.value.name,
+            );
+          }
+          context.hasChanges = true;
+        } else {
+          // If response doesn't exist, rename rawResponse to response
+          id.properties.forEach(prop => {
+            if (
+              (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+              prop.key.type === 'Identifier' &&
+              prop.key.name === 'rawResponse' &&
+              prop.value.type === 'Identifier'
+            ) {
+              context.hasChanges = true;
+              prop.key.name = 'response';
+              // Track the destructured variable name mapping
+              destructuredMapping.set(prop.value.name, 'response');
+            }
+          });
+        }
+      }
+    }
+
+    // Handle non-await streaming method calls
+    if (
+      init &&
+      init.type === 'CallExpression' &&
+      init.callee.type === 'Identifier' &&
+      ['streamObject', 'streamText'].includes(init.callee.name)
+    ) {
+      if (id.type === 'Identifier') {
+        aiResultVariables.add(id.name);
+      } else if (id.type === 'ObjectPattern') {
+        // Similar logic for streaming methods
+        const hasResponse = id.properties.some(
+          prop =>
+            (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'response',
+        );
+
+        let rawResponseVarName: string | null = null;
+
+        id.properties.forEach(prop => {
+          if (
+            (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'rawResponse' &&
+            prop.value.type === 'Identifier'
+          ) {
+            rawResponseVarName = prop.value.name;
+          }
+        });
+
+        if (hasResponse && rawResponseVarName) {
+          id.properties = id.properties.filter(
+            prop =>
+              !(
+                (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+                prop.key.type === 'Identifier' &&
+                prop.key.name === 'rawResponse'
+              ),
+          );
+
+          const responseProp = id.properties.find(
+            prop =>
+              (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+              prop.key.type === 'Identifier' &&
+              prop.key.name === 'response',
+          ) as any;
+
+          if (
+            responseProp &&
+            responseProp.value &&
+            responseProp.value.type === 'Identifier'
+          ) {
+            destructuredMapping.set(
+              rawResponseVarName,
+              responseProp.value.name,
+            );
+          }
+          context.hasChanges = true;
+        } else {
+          id.properties.forEach(prop => {
+            if (
+              (prop.type === 'Property' || prop.type === 'ObjectProperty') &&
+              prop.key.type === 'Identifier' &&
+              prop.key.name === 'rawResponse' &&
+              prop.value.type === 'Identifier'
+            ) {
+              context.hasChanges = true;
+              prop.key.name = 'response';
+              destructuredMapping.set(prop.value.name, 'response');
+            }
+          });
+        }
+      }
+    }
+  });
+
+  // Find assignment expressions from AI method calls
+  root.find(j.AssignmentExpression).forEach(path => {
+    const { left, right } = path.node;
+
+    // Handle await AI method calls
+    if (
+      right.type === 'AwaitExpression' &&
+      right.argument &&
+      right.argument.type === 'CallExpression' &&
+      right.argument.callee.type === 'Identifier' &&
+      aiMethods.includes(right.argument.callee.name)
+    ) {
+      if (left.type === 'Identifier') {
+        aiResultVariables.add(left.name);
+      }
+    }
+
+    // Handle non-await streaming method calls
+    if (
+      right.type === 'CallExpression' &&
+      right.callee.type === 'Identifier' &&
+      ['streamObject', 'streamText'].includes(right.callee.name)
+    ) {
+      if (left.type === 'Identifier') {
+        aiResultVariables.add(left.name);
+      }
+    }
+  });
+
+  // Transform member expressions accessing .rawResponse on AI result variables
+  root.find(j.MemberExpression).forEach(path => {
+    const { object, property } = path.node;
+
+    if (property.type === 'Identifier' && property.name === 'rawResponse') {
+      // Direct access: variable.rawResponse
+      if (object.type === 'Identifier' && aiResultVariables.has(object.name)) {
+        context.hasChanges = true;
+        property.name = 'response';
+      }
+
+      // Nested access: something.rawResponse where something might be an AI result
+      let currentObj = object;
+      while (currentObj.type === 'MemberExpression') {
+        currentObj = currentObj.object;
+      }
+
+      if (
+        currentObj.type === 'Identifier' &&
+        aiResultVariables.has(currentObj.name)
+      ) {
+        context.hasChanges = true;
+        property.name = 'response';
+      }
+    }
+  });
+
+  // Transform identifiers that were destructured as rawResponse
+  root.find(j.Identifier).forEach(path => {
+    const varName = path.node.name;
+    if (varName && destructuredMapping.has(varName)) {
+      // Check if this identifier should be transformed
+      const parent = path.parent;
+
+      // Don't transform if it's a property key in an object
+      if (
+        (parent.value.type === 'Property' ||
+          parent.value.type === 'ObjectProperty') &&
+        parent.value.key === path.node
+      ) {
+        return;
+      }
+
+      // Don't transform if it's in a variable declarator pattern (already handled)
+      if (
+        parent.value.type === 'VariableDeclarator' &&
+        parent.value.id === path.node
+      ) {
+        return;
+      }
+
+      // Transform the identifier
+      context.hasChanges = true;
+      path.node.name = destructuredMapping.get(varName)!;
+    }
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-redacted-reasoning-type.ts b/packages/codemod/src/codemods/v5/replace-redacted-reasoning-type.ts
new file mode 100644
index 000000000000..8fa40a9862f6
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-redacted-reasoning-type.ts
@@ -0,0 +1,102 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  const foundUsages: Array<{
+    line: number;
+    context: string;
+  }> = [];
+
+  // Find string literals that match 'redacted-reasoning'
+  root.find(j.Literal).forEach(path => {
+    if (path.node.value === 'redacted-reasoning') {
+      const lineNumber = path.node.loc?.start?.line || 0;
+
+      // Try to determine the context (e.g., if condition, switch case, etc.)
+      let context = 'unknown context';
+
+      // Check if this is in a comparison (e.g., part.type === 'redacted-reasoning')
+      const parent = path.parent.node;
+      if (
+        parent &&
+        parent.type === 'BinaryExpression' &&
+        parent.operator === '==='
+      ) {
+        const left = parent.left;
+        if (
+          left.type === 'MemberExpression' &&
+          left.property.type === 'Identifier' &&
+          left.property.name === 'type'
+        ) {
+          context = 'type comparison';
+        }
+      }
+
+      // Check if this is in a switch case
+      let currentPath = path.parent;
+      while (currentPath && currentPath.node) {
+        if (currentPath.node.type === 'SwitchCase') {
+          context = 'switch case';
+          break;
+        }
+        currentPath = currentPath.parent;
+      }
+
+      foundUsages.push({
+        line: lineNumber,
+        context: context,
+      });
+    }
+  });
+
+  // Also find template literals that might contain 'redacted-reasoning'
+  root.find(j.TemplateLiteral).forEach(path => {
+    path.node.quasis.forEach(quasi => {
+      if (quasi.value.raw.includes('redacted-reasoning')) {
+        const lineNumber = path.node.loc?.start?.line || 0;
+        foundUsages.push({
+          line: lineNumber,
+          context: 'template literal',
+        });
+      }
+    });
+  });
+
+  // Generate helpful messages for found usages
+  if (foundUsages.length > 0) {
+    context.messages.push(
+      `Found ${foundUsages.length} usage(s) of 'redacted-reasoning' part type that need migration:`,
+    );
+
+    foundUsages.forEach(usage => {
+      context.messages.push(`  Line ${usage.line}: ${usage.context}`);
+    });
+
+    context.messages.push('');
+    context.messages.push('Migration required:');
+    context.messages.push(
+      '  The redacted-reasoning part type has been removed.',
+    );
+    context.messages.push('  Use provider-specific metadata instead:');
+    context.messages.push('');
+    context.messages.push('  Before:');
+    context.messages.push('    if (part.type === "redacted-reasoning") {');
+    context.messages.push('      console.log("<redacted>");');
+    context.messages.push('    }');
+    context.messages.push('');
+    context.messages.push('  After:');
+    context.messages.push(
+      '    if (part.providerMetadata?.anthropic?.redactedData != null) {',
+    );
+    context.messages.push('      console.log("<redacted>");');
+    context.messages.push('    }');
+    context.messages.push('');
+    context.messages.push(
+      '  Note: The exact metadata path depends on your provider.',
+    );
+    context.messages.push(
+      '  Check your provider documentation for the correct path.',
+    );
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/replace-simulate-streaming.ts b/packages/codemod/src/codemods/v5/replace-simulate-streaming.ts
new file mode 100644
index 000000000000..cf080621873e
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-simulate-streaming.ts
@@ -0,0 +1,119 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track if we need to add imports
+  let needsSimulateStreamingMiddleware = false;
+  let needsWrapLanguageModel = false;
+
+  // Find provider calls with simulateStreaming: true option
+  root.find(j.CallExpression).forEach(path => {
+    const { callee, arguments: args } = path.node;
+
+    // Check if this looks like a provider call (function call with 1-2 arguments)
+    if (callee.type === 'Identifier' && args.length >= 1 && args.length <= 2) {
+      const secondArg = args[1];
+
+      // Check if second argument is an object with simulateStreaming: true
+      if (secondArg && secondArg.type === 'ObjectExpression') {
+        // Find the simulateStreaming property
+        const simulateStreamingProp = secondArg.properties.find(prop => {
+          return (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'simulateStreaming' &&
+            // jscodeshift parses true/false as Literal
+            // the typescript parser parses true/false as BooleanLiteral
+            (prop.value.type === 'Literal' ||
+              prop.value.type === 'BooleanLiteral') &&
+            prop.value.value === true
+          );
+        });
+
+        if (simulateStreamingProp) {
+          context.hasChanges = true;
+          needsSimulateStreamingMiddleware = true;
+          needsWrapLanguageModel = true;
+
+          // Remove simulateStreaming property from the options object
+          const filteredProperties = secondArg.properties.filter(
+            prop =>
+              !(
+                (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+                prop.key.type === 'Identifier' &&
+                prop.key.name === 'simulateStreaming'
+              ),
+          );
+
+          // Create the new wrapped model call
+          let modelCall;
+          if (filteredProperties.length > 0) {
+            // Keep remaining properties
+            modelCall = j.callExpression(callee, [
+              args[0],
+              j.objectExpression(filteredProperties),
+            ]);
+          } else {
+            // No other properties, just use the first argument
+            modelCall = j.callExpression(callee, [args[0]]);
+          }
+
+          // Replace with wrapLanguageModel call
+          const wrappedCall = j.callExpression(
+            j.identifier('wrapLanguageModel'),
+            [
+              j.objectExpression([
+                j.property('init', j.identifier('model'), modelCall),
+                j.property(
+                  'init',
+                  j.identifier('middleware'),
+                  j.callExpression(
+                    j.identifier('simulateStreamingMiddleware'),
+                    [],
+                  ),
+                ),
+              ]),
+            ],
+          );
+
+          // Replace the original call
+          path.replace(wrappedCall);
+        }
+      }
+    }
+  });
+
+  // Add necessary imports to 'ai' import declaration
+  if (needsSimulateStreamingMiddleware || needsWrapLanguageModel) {
+    root
+      .find(j.ImportDeclaration, {
+        source: { value: 'ai' },
+      })
+      .forEach(path => {
+        const existingSpecifiers = path.node.specifiers || [];
+        const importNames = new Set(
+          existingSpecifiers
+            .filter(spec => spec.type === 'ImportSpecifier')
+            .map(spec => spec.imported.name),
+        );
+
+        const newImports = [];
+        if (
+          needsSimulateStreamingMiddleware &&
+          !importNames.has('simulateStreamingMiddleware')
+        ) {
+          newImports.push(
+            j.importSpecifier(j.identifier('simulateStreamingMiddleware')),
+          );
+        }
+        if (needsWrapLanguageModel && !importNames.has('wrapLanguageModel')) {
+          newImports.push(j.importSpecifier(j.identifier('wrapLanguageModel')));
+        }
+
+        if (newImports.length > 0) {
+          path.node.specifiers = [...existingSpecifiers, ...newImports];
+        }
+      });
+  }
+});
diff --git a/packages/codemod/src/codemods/v5/replace-textdelta-with-text.ts b/packages/codemod/src/codemods/v5/replace-textdelta-with-text.ts
new file mode 100644
index 000000000000..7830835c0525
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-textdelta-with-text.ts
@@ -0,0 +1,69 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Find member expressions that match: delta.textDelta
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      const node = path.node;
+
+      // Must be accessing a property called 'textDelta'
+      if (
+        !j.Identifier.check(node.property) ||
+        node.property.name !== 'textDelta'
+      ) {
+        return false;
+      }
+
+      // The object must be an identifier called 'delta'
+      if (!j.Identifier.check(node.object) || node.object.name !== 'delta') {
+        return false;
+      }
+
+      return true;
+    })
+    .forEach(path => {
+      // Replace delta.textDelta with delta.text
+      const newMemberExpression = j.memberExpression(
+        path.node.object, // delta
+        j.identifier('text'), // text
+      );
+
+      path.replace(newMemberExpression);
+      context.hasChanges = true;
+    });
+
+  // Replace the case 'text-delta' with case 'text'
+  root
+    .find(j.SwitchCase)
+    .filter(path => {
+      const node = path.node;
+
+      // Check if the test is a string literal with value 'text-delta'
+      if (j.Literal.check(node.test) && node.test.value === 'text-delta') {
+        return true;
+      }
+
+      return false;
+    })
+    .forEach(path => {
+      // Replace 'text-delta' with 'text'
+      path.node.test = j.literal('text');
+      context.hasChanges = true;
+    });
+
+  // Replace string literal 'text-delta' with 'text' in direct comparisons
+  root
+    .find(j.Literal)
+    .filter(path => {
+      const node = path.node;
+      return node.value === 'text-delta';
+    })
+    .forEach(path => {
+      // Replace 'text-delta' with 'text'
+      path.node.value = 'text';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/replace-usage-token-properties.ts b/packages/codemod/src/codemods/v5/replace-usage-token-properties.ts
new file mode 100644
index 000000000000..b990355a6edf
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/replace-usage-token-properties.ts
@@ -0,0 +1,122 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Replace member expressions: usage.promptTokens -> usage.inputTokens
+  root
+    .find(j.MemberExpression, {
+      property: { name: 'promptTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.property = j.identifier('inputTokens');
+    });
+
+  // Replace member expressions: usage.completionTokens -> usage.outputTokens
+  root
+    .find(j.MemberExpression, {
+      property: { name: 'completionTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.property = j.identifier('outputTokens');
+    });
+
+  // Replace object properties in object literals: { promptTokens: ... }
+  root
+    .find(j.ObjectProperty, {
+      key: { name: 'promptTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('inputTokens');
+    });
+
+  // Replace object properties in object literals: { completionTokens: ... }
+  root
+    .find(j.ObjectProperty, {
+      key: { name: 'completionTokens' },
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('outputTokens');
+    });
+
+  // Replace Property nodes in object literals (alternative representation): { promptTokens: ... }
+  root
+    .find(j.Property, {
+      key: { name: 'promptTokens' },
+      shorthand: false,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('inputTokens');
+    });
+
+  // Replace Property nodes in object literals (alternative representation): { completionTokens: ... }
+  root
+    .find(j.Property, {
+      key: { name: 'completionTokens' },
+      shorthand: false,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('outputTokens');
+    });
+
+  // Replace shorthand object properties: { promptTokens } -> { inputTokens }
+  root
+    .find(j.Property, {
+      key: { name: 'promptTokens' },
+      shorthand: true,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('inputTokens');
+      path.node.value = j.identifier('inputTokens');
+    });
+
+  // Replace shorthand object properties: { completionTokens } -> { outputTokens }
+  root
+    .find(j.Property, {
+      key: { name: 'completionTokens' },
+      shorthand: true,
+    })
+    .forEach(path => {
+      context.hasChanges = true;
+      path.node.key = j.identifier('outputTokens');
+      path.node.value = j.identifier('outputTokens');
+    });
+
+  // Replace destructuring patterns: { promptTokens } = obj
+  root.find(j.ObjectPattern).forEach(path => {
+    let hasPatternChanges = false;
+    path.node.properties.forEach(prop => {
+      // Handle both ObjectProperty and Property nodes in destructuring
+      if (
+        (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+        prop.key.type === 'Identifier'
+      ) {
+        if (prop.key.name === 'promptTokens') {
+          prop.key = j.identifier('inputTokens');
+          // If it's shorthand, update the value as well
+          if (prop.shorthand && prop.value.type === 'Identifier') {
+            prop.value = j.identifier('inputTokens');
+          }
+          hasPatternChanges = true;
+        } else if (prop.key.name === 'completionTokens') {
+          prop.key = j.identifier('outputTokens');
+          // If it's shorthand, update the value as well
+          if (prop.shorthand && prop.value.type === 'Identifier') {
+            prop.value = j.identifier('outputTokens');
+          }
+          hasPatternChanges = true;
+        }
+      }
+    });
+    if (hasPatternChanges) {
+      context.hasChanges = true;
+    }
+  });
+});
diff --git a/packages/codemod/src/codemods/v5/restructure-file-stream-parts.ts b/packages/codemod/src/codemods/v5/restructure-file-stream-parts.ts
new file mode 100644
index 000000000000..c8919519380f
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/restructure-file-stream-parts.ts
@@ -0,0 +1,295 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track identifiers that are file stream parts in various contexts
+  const fileStreamPartIdentifiers = new Set<string>();
+
+  // Track variables that hold streamText results
+  const streamTextResultVariables = new Set<string>();
+
+  // Track iterator variables from result.fullStream
+  const fullStreamIteratorVariables = new Set<string>();
+
+  // Find streamText imports and track result variables
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      if (path.node.specifiers) {
+        path.node.specifiers.forEach(specifier => {
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.type === 'Identifier' &&
+            specifier.imported.name === 'streamText'
+          ) {
+            // Find streamText calls and track their result variables
+            root
+              .find(j.CallExpression)
+              .filter(callPath => {
+                return (
+                  callPath.node.callee.type === 'Identifier' &&
+                  callPath.node.callee.name === 'streamText'
+                );
+              })
+              .forEach(callPath => {
+                // Look for variable declarations that store the result
+                const parent = callPath.parent;
+                if (
+                  parent &&
+                  parent.value &&
+                  parent.value.type === 'VariableDeclarator' &&
+                  parent.value.id.type === 'Identifier'
+                ) {
+                  streamTextResultVariables.add(parent.value.id.name);
+                }
+              });
+          }
+        });
+      }
+    });
+
+  // Find for-await-of loops over result.fullStream
+  root.find(j.ForAwaitStatement).forEach(path => {
+    const right = path.node.right;
+    if (
+      right &&
+      right.type === 'MemberExpression' &&
+      right.object.type === 'Identifier' &&
+      streamTextResultVariables.has(right.object.name) &&
+      right.property.type === 'Identifier' &&
+      right.property.name === 'fullStream'
+    ) {
+      // Track the iterator variable
+      const left = path.node.left;
+      if (left.type === 'VariableDeclaration' && left.declarations[0]) {
+        const declaration = left.declarations[0];
+        if (
+          declaration.type === 'VariableDeclarator' &&
+          declaration.id.type === 'Identifier'
+        ) {
+          fullStreamIteratorVariables.add(declaration.id.name);
+        }
+      }
+    }
+  });
+
+  // Transform object literals that represent file stream parts
+  root
+    .find(j.ObjectExpression)
+    .filter(path => {
+      // Look for objects with type: 'file' property
+      return path.node.properties.some(prop => {
+        if (
+          (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+          prop.key.type === 'Identifier' &&
+          prop.key.name === 'type' &&
+          prop.value.type === 'StringLiteral' &&
+          prop.value.value === 'file'
+        ) {
+          return true;
+        }
+        return false;
+      });
+    })
+    .forEach(path => {
+      const properties = path.node.properties;
+
+      // Find file-related properties (everything except 'type')
+      const fileProperties = properties.filter(prop => {
+        if (
+          (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+          prop.key.type === 'Identifier'
+        ) {
+          return prop.key.name !== 'type';
+        }
+        return false;
+      });
+
+      // Only transform if we have file properties to move
+      if (fileProperties.length > 0) {
+        // Create new file object with the file properties
+        const fileObject = j.objectExpression(fileProperties);
+
+        // Create new properties array with just type and file
+        const typeProperty = properties.find(prop => {
+          return (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'type'
+          );
+        });
+
+        if (typeProperty) {
+          const newProperties = [
+            typeProperty,
+            j.objectProperty(j.identifier('file'), fileObject),
+          ];
+
+          path.node.properties = newProperties;
+          context.hasChanges = true;
+        }
+      }
+    });
+
+  // Find file stream part identifiers from switch cases
+  root
+    .find(j.SwitchCase)
+    .filter(path => {
+      return !!(
+        path.node.test &&
+        path.node.test.type === 'StringLiteral' &&
+        path.node.test.value === 'file'
+      );
+    })
+    .forEach(path => {
+      // Look for the switch expression to find the identifier
+      const switchStatement = path.parent;
+      if (
+        switchStatement &&
+        switchStatement.value &&
+        switchStatement.value.type === 'SwitchStatement' &&
+        switchStatement.value.discriminant.type === 'MemberExpression' &&
+        switchStatement.value.discriminant.property.type === 'Identifier' &&
+        switchStatement.value.discriminant.property.name === 'type' &&
+        switchStatement.value.discriminant.object.type === 'Identifier'
+      ) {
+        const identifierName = switchStatement.value.discriminant.object.name;
+        fileStreamPartIdentifiers.add(identifierName);
+
+        // Also check if this identifier is a fullStream iterator
+        if (fullStreamIteratorVariables.has(identifierName)) {
+          fileStreamPartIdentifiers.add(identifierName);
+        }
+      }
+    });
+
+  // Find file stream part identifiers from if statements
+  root
+    .find(j.IfStatement)
+    .filter(path => {
+      const test = path.node.test;
+      return (
+        test &&
+        test.type === 'BinaryExpression' &&
+        test.operator === '===' &&
+        test.left.type === 'MemberExpression' &&
+        test.left.property.type === 'Identifier' &&
+        test.left.property.name === 'type' &&
+        test.right.type === 'StringLiteral' &&
+        test.right.value === 'file'
+      );
+    })
+    .forEach(path => {
+      const test = path.node.test;
+      if (
+        test &&
+        test.type === 'BinaryExpression' &&
+        test.left.type === 'MemberExpression' &&
+        test.left.object.type === 'Identifier'
+      ) {
+        fileStreamPartIdentifiers.add(test.left.object.name);
+      }
+    });
+
+  // Add fullStream iterator variables to fileStreamPartIdentifiers
+  fullStreamIteratorVariables.forEach(variable => {
+    fileStreamPartIdentifiers.add(variable);
+  });
+
+  // Transform property access on identified file stream part variables
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      return (
+        path.node.object.type === 'Identifier' &&
+        fileStreamPartIdentifiers.has(path.node.object.name) &&
+        path.node.property.type === 'Identifier' &&
+        (path.node.property.name === 'mediaType' ||
+          path.node.property.name === 'mimeType' ||
+          path.node.property.name === 'data' ||
+          path.node.property.name === 'base64' ||
+          path.node.property.name === 'uint8Array')
+      );
+    })
+    .forEach(path => {
+      // Transform part.mediaType to part.file.mediaType
+      path.node.object = j.memberExpression(
+        path.node.object,
+        j.identifier('file'),
+      );
+      context.hasChanges = true;
+    });
+
+  // Transform direct identifier references that should become part.file
+  // This handles cases like presentImages([part]) in file contexts
+  root
+    .find(j.Identifier)
+    .filter(path => {
+      return (
+        fileStreamPartIdentifiers.has(path.node.name) &&
+        // Make sure this is not a property key or already part of a member expression
+        path.parent.value.type !== 'MemberExpression' &&
+        path.parent.value.type !== 'Property' &&
+        path.parent.value.type !== 'ObjectProperty'
+      );
+    })
+    .forEach(path => {
+      // Check if this identifier is in a context where we're dealing with the file object
+      // We need to look for the switch case or if statement context
+      let isInFileContext = false;
+      let currentParent = path.parent;
+
+      while (currentParent && !isInFileContext) {
+        if (
+          currentParent.value &&
+          currentParent.value.type === 'SwitchCase' &&
+          currentParent.value.test &&
+          currentParent.value.test.type === 'StringLiteral' &&
+          currentParent.value.test.value === 'file'
+        ) {
+          isInFileContext = true;
+          break;
+        }
+        currentParent = currentParent.parent;
+      }
+
+      // Also check for if statement context
+      if (!isInFileContext) {
+        currentParent = path.parent;
+        while (currentParent && !isInFileContext) {
+          if (
+            currentParent.value &&
+            currentParent.value.type === 'IfStatement' &&
+            currentParent.value.test &&
+            currentParent.value.test.type === 'BinaryExpression' &&
+            currentParent.value.test.operator === '===' &&
+            currentParent.value.test.right &&
+            currentParent.value.test.right.type === 'StringLiteral' &&
+            currentParent.value.test.right.value === 'file'
+          ) {
+            isInFileContext = true;
+            break;
+          }
+          currentParent = currentParent.parent;
+        }
+      }
+
+      if (isInFileContext) {
+        // Transform part to part.file
+        j(path).replaceWith(
+          j.memberExpression(
+            j.identifier(path.node.name),
+            j.identifier('file'),
+          ),
+        );
+        context.hasChanges = true;
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/restructure-source-stream-parts.ts b/packages/codemod/src/codemods/v5/restructure-source-stream-parts.ts
new file mode 100644
index 000000000000..d12990e897a6
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/restructure-source-stream-parts.ts
@@ -0,0 +1,297 @@
+import { createTransformer } from '../lib/create-transformer';
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  // Track identifiers that are source stream parts in various contexts
+  const sourceStreamPartIdentifiers = new Set<string>();
+
+  // Track variables that hold streamText results
+  const streamTextResultVariables = new Set<string>();
+
+  // Track iterator variables from result.fullStream
+  const fullStreamIteratorVariables = new Set<string>();
+
+  // Find streamText imports and track result variables
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => {
+      return (
+        path.node.source.type === 'StringLiteral' &&
+        path.node.source.value === 'ai'
+      );
+    })
+    .forEach(path => {
+      if (path.node.specifiers) {
+        path.node.specifiers.forEach(specifier => {
+          if (
+            specifier.type === 'ImportSpecifier' &&
+            specifier.imported.type === 'Identifier' &&
+            specifier.imported.name === 'streamText'
+          ) {
+            // Find streamText calls and track their result variables
+            root
+              .find(j.CallExpression)
+              .filter(callPath => {
+                return (
+                  callPath.node.callee.type === 'Identifier' &&
+                  callPath.node.callee.name === 'streamText'
+                );
+              })
+              .forEach(callPath => {
+                // Look for variable declarations that store the result
+                const parent = callPath.parent;
+                if (
+                  parent &&
+                  parent.value &&
+                  parent.value.type === 'VariableDeclarator' &&
+                  parent.value.id.type === 'Identifier'
+                ) {
+                  streamTextResultVariables.add(parent.value.id.name);
+                }
+              });
+          }
+        });
+      }
+    });
+
+  // Find for-await-of loops over result.fullStream
+  root.find(j.ForAwaitStatement).forEach(path => {
+    const right = path.node.right;
+    if (
+      right &&
+      right.type === 'MemberExpression' &&
+      right.object.type === 'Identifier' &&
+      streamTextResultVariables.has(right.object.name) &&
+      right.property.type === 'Identifier' &&
+      right.property.name === 'fullStream'
+    ) {
+      // Track the iterator variable
+      const left = path.node.left;
+      if (left.type === 'VariableDeclaration' && left.declarations[0]) {
+        const declaration = left.declarations[0];
+        if (
+          declaration.type === 'VariableDeclarator' &&
+          declaration.id.type === 'Identifier'
+        ) {
+          fullStreamIteratorVariables.add(declaration.id.name);
+        }
+      }
+    }
+  });
+
+  // Transform object literals that have nested source structure
+  root
+    .find(j.ObjectExpression)
+    .filter(path => {
+      // Look for objects with type: 'source' property and a 'source' property containing the nested data
+      return (
+        path.node.properties.some(prop => {
+          return (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'type' &&
+            prop.value.type === 'StringLiteral' &&
+            prop.value.value === 'source'
+          );
+        }) &&
+        path.node.properties.some(prop => {
+          return (
+            (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+            prop.key.type === 'Identifier' &&
+            prop.key.name === 'source' &&
+            prop.value.type === 'ObjectExpression'
+          );
+        })
+      );
+    })
+    .forEach(path => {
+      const properties = path.node.properties;
+
+      // Find the type property
+      const typeProperty = properties.find(prop => {
+        return (
+          (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+          prop.key.type === 'Identifier' &&
+          prop.key.name === 'type'
+        );
+      });
+
+      // Find the source property with nested data
+      const sourceProperty = properties.find(prop => {
+        return (
+          (prop.type === 'ObjectProperty' || prop.type === 'Property') &&
+          prop.key.type === 'Identifier' &&
+          prop.key.name === 'source' &&
+          prop.value.type === 'ObjectExpression'
+        );
+      });
+
+      if (
+        typeProperty &&
+        sourceProperty &&
+        (sourceProperty.type === 'ObjectProperty' ||
+          sourceProperty.type === 'Property') &&
+        sourceProperty.value.type === 'ObjectExpression'
+      ) {
+        // Extract all properties from the nested source object
+        const nestedSourceProperties = sourceProperty.value.properties;
+
+        // Create new flat properties array: type + all nested source properties
+        const newProperties = [typeProperty, ...nestedSourceProperties];
+
+        path.node.properties = newProperties;
+        context.hasChanges = true;
+      }
+    });
+
+  // Find source stream part identifiers from switch cases
+  root
+    .find(j.SwitchCase)
+    .filter(path => {
+      return !!(
+        path.node.test &&
+        path.node.test.type === 'StringLiteral' &&
+        path.node.test.value === 'source'
+      );
+    })
+    .forEach(path => {
+      // Look for the switch expression to find the identifier
+      const switchStatement = path.parent;
+      if (
+        switchStatement &&
+        switchStatement.value &&
+        switchStatement.value.type === 'SwitchStatement' &&
+        switchStatement.value.discriminant.type === 'MemberExpression' &&
+        switchStatement.value.discriminant.property.type === 'Identifier' &&
+        switchStatement.value.discriminant.property.name === 'type' &&
+        switchStatement.value.discriminant.object.type === 'Identifier'
+      ) {
+        const identifierName = switchStatement.value.discriminant.object.name;
+        sourceStreamPartIdentifiers.add(identifierName);
+      }
+    });
+
+  // Find source stream part identifiers from if statements
+  root
+    .find(j.IfStatement)
+    .filter(path => {
+      const test = path.node.test;
+      return (
+        test &&
+        test.type === 'BinaryExpression' &&
+        test.operator === '===' &&
+        test.left.type === 'MemberExpression' &&
+        test.left.property.type === 'Identifier' &&
+        test.left.property.name === 'type' &&
+        test.right.type === 'StringLiteral' &&
+        test.right.value === 'source'
+      );
+    })
+    .forEach(path => {
+      const test = path.node.test;
+      if (
+        test &&
+        test.type === 'BinaryExpression' &&
+        test.left.type === 'MemberExpression' &&
+        test.left.object.type === 'Identifier'
+      ) {
+        sourceStreamPartIdentifiers.add(test.left.object.name);
+      }
+    });
+
+  // Add fullStream iterator variables to sourceStreamPartIdentifiers
+  fullStreamIteratorVariables.forEach(variable => {
+    sourceStreamPartIdentifiers.add(variable);
+  });
+
+  // Find map callbacks where the parameter represents source stream parts
+  // Look for patterns like: .filter(item => item.type === 'source').map(source => ...)
+  root
+    .find(j.CallExpression)
+    .filter(path => {
+      const callee = path.node.callee;
+      if (callee.type !== 'MemberExpression') return false;
+      if (
+        callee.property.type !== 'Identifier' ||
+        callee.property.name !== 'map'
+      )
+        return false;
+      if (callee.object.type !== 'CallExpression') return false;
+
+      const filterCall = callee.object;
+      if (!filterCall.callee || filterCall.callee.type !== 'MemberExpression')
+        return false;
+      if (
+        filterCall.callee.property.type !== 'Identifier' ||
+        filterCall.callee.property.name !== 'filter'
+      )
+        return false;
+
+      return true;
+    })
+    .forEach(path => {
+      const callee = path.node.callee;
+      if (
+        callee.type === 'MemberExpression' &&
+        callee.object.type === 'CallExpression'
+      ) {
+        const filterCall = callee.object;
+        if (filterCall.arguments && filterCall.arguments[0]) {
+          const filterCallback = filterCall.arguments[0];
+          if (filterCallback.type === 'ArrowFunctionExpression') {
+            const body = filterCallback.body;
+            if (
+              body.type === 'BinaryExpression' &&
+              body.operator === '===' &&
+              body.left.type === 'MemberExpression' &&
+              body.left.property.type === 'Identifier' &&
+              body.left.property.name === 'type' &&
+              body.right.type === 'StringLiteral' &&
+              body.right.value === 'source'
+            ) {
+              // Found filter for source types, now track the map callback parameter
+              if (path.node.arguments && path.node.arguments[0]) {
+                const mapCallback = path.node.arguments[0];
+                if (
+                  mapCallback.type === 'ArrowFunctionExpression' &&
+                  mapCallback.params.length > 0 &&
+                  mapCallback.params[0].type === 'Identifier'
+                ) {
+                  sourceStreamPartIdentifiers.add(mapCallback.params[0].name);
+                }
+              }
+            }
+          }
+        }
+      }
+    });
+
+  // Transform nested property access: part.source.sourceType -> part.sourceType
+  root
+    .find(j.MemberExpression)
+    .filter(path => {
+      return (
+        path.node.object.type === 'MemberExpression' &&
+        path.node.object.object.type === 'Identifier' &&
+        sourceStreamPartIdentifiers.has(path.node.object.object.name) &&
+        path.node.object.property.type === 'Identifier' &&
+        path.node.object.property.name === 'source' &&
+        path.node.property.type === 'Identifier' &&
+        (path.node.property.name === 'sourceType' ||
+          path.node.property.name === 'id' ||
+          path.node.property.name === 'url' ||
+          path.node.property.name === 'title' ||
+          path.node.property.name === 'mediaType' ||
+          path.node.property.name === 'filename' ||
+          path.node.property.name === 'providerMetadata')
+      );
+    })
+    .forEach(path => {
+      // Transform part.source.sourceType to part.sourceType
+      if (path.node.object.type === 'MemberExpression') {
+        path.node.object = path.node.object.object;
+        context.hasChanges = true;
+      }
+    });
+});
diff --git a/packages/codemod/src/codemods/v5/rsc-package.ts b/packages/codemod/src/codemods/v5/rsc-package.ts
new file mode 100644
index 000000000000..579b36011969
--- /dev/null
+++ b/packages/codemod/src/codemods/v5/rsc-package.ts
@@ -0,0 +1,35 @@
+import { createTransformer } from '../lib/create-transformer';
+
+/*
+The `ai/rsc` export has been extracted to a separate package `@ai-sdk/rsc`
+
+Before:
+
+```jsx
+import { createStreamableValue } from 'ai/rsc';
+```
+
+After:
+
+```bash
+pnpm add @ai-sdk/rsc
+```
+
+```jsx
+import { createStreamableValue } from '@ai-sdk/rsc';
+```
+
+Commit: https://github.com/vercel/ai/pull/5542
+*/
+
+export default createTransformer((fileInfo, api, options, context) => {
+  const { j, root } = context;
+
+  root
+    .find(j.ImportDeclaration)
+    .filter(path => path.node.source.value === 'ai/rsc')
+    .forEach(path => {
+      path.node.source.value = '@ai-sdk/rsc';
+      context.hasChanges = true;
+    });
+});
diff --git a/packages/codemod/src/lib/upgrade.ts b/packages/codemod/src/lib/upgrade.ts
index 33c7d94dea83..8ef4b1846580 100644
--- a/packages/codemod/src/lib/upgrade.ts
+++ b/packages/codemod/src/lib/upgrade.ts
@@ -4,35 +4,124 @@ import { TransformOptions } from './transform-options';
 import { SingleBar, Presets } from 'cli-progress';
 
 const bundle = [
-  'remove-ai-stream-methods-from-stream-text-result',
-  'remove-anthropic-facade',
-  'remove-await-streamobject',
-  'remove-await-streamtext',
-  'remove-deprecated-provider-registry-exports',
-  'remove-experimental-ai-fn-exports',
-  'remove-experimental-message-types',
-  'remove-experimental-streamdata',
-  'remove-experimental-tool',
-  'remove-experimental-useassistant',
-  'remove-google-facade',
-  'remove-isxxxerror',
-  'remove-metadata-with-headers',
-  'remove-mistral-facade',
-  'remove-openai-facade',
-  'rename-format-stream-part',
-  'rename-parse-stream-part',
-  'replace-baseurl',
-  'replace-continuation-steps',
-  'replace-langchain-toaistream',
-  'replace-nanoid',
-  'replace-roundtrips-with-maxsteps',
-  'replace-token-usage-types',
-  'rewrite-framework-imports',
+  'v4/remove-ai-stream-methods-from-stream-text-result',
+  'v4/remove-anthropic-facade',
+  'v4/remove-await-streamobject',
+  'v4/remove-await-streamtext',
+  'v4/remove-deprecated-provider-registry-exports',
+  'v4/remove-experimental-ai-fn-exports',
+  'v4/remove-experimental-message-types',
+  'v4/remove-experimental-streamdata',
+  'v4/remove-experimental-tool',
+  'v4/remove-experimental-useassistant',
+  'v5/remove-experimental-wrap-language-model',
+  'v5/remove-get-ui-text',
+  'v4/remove-google-facade',
+  'v4/remove-isxxxerror',
+  'v4/remove-metadata-with-headers',
+  'v4/remove-mistral-facade',
+  'v5/remove-openai-compatibility',
+  'v4/remove-openai-facade',
+  'v5/remove-sendExtraMessageFields',
+  'v5/rename-core-message-to-model-message',
+  'v5/rename-datastream-transform-stream',
+  'v4/rename-format-stream-part',
+  'v5/rename-languagemodelv1providermetadata',
+  'v5/rename-max-tokens-to-max-output-tokens',
+  'v5/rename-message-to-ui-message',
+  'v5/rename-mime-type-to-media-type',
+  'v4/rename-parse-stream-part',
+  'v5/rename-reasoning-properties',
+  'v5/rename-reasoning-to-reasoningText',
+  'v5/rename-request-options',
+  'v4/replace-baseurl',
+  'v5/replace-bedrock-snake-case',
+  'v5/replace-content-with-parts',
+  'v4/replace-continuation-steps',
+  'v5/replace-experimental-provider-metadata',
+  'v5/replace-generatetext-text-property',
+  'v5/replace-image-type-with-file-type',
+  'v4/replace-langchain-toaistream',
+  'v5/replace-llamaindex-adapter',
+  'v4/replace-nanoid',
+  'v5/replace-oncompletion-with-onfinal',
+  'v5/replace-provider-metadata-with-provider-options',
+  'v5/replace-rawresponse-with-response',
+  'v5/replace-redacted-reasoning-type',
+  'v4/replace-roundtrips-with-maxsteps',
+  'v5/replace-simulate-streaming',
+  'v5/replace-textdelta-with-text',
+  'v4/replace-token-usage-types',
+  'v5/replace-usage-token-properties',
+  'v5/restructure-file-stream-parts',
+  'v5/restructure-source-stream-parts',
+  'v4/rewrite-framework-imports',
+  'v5/rsc-package',
+  'v5/flatten-streamtext-file-properties',
+  'v5/import-LanguageModelV2-from-provider-package',
+  'v5/migrate-to-data-stream-protocol-v2',
+  'v5/move-image-model-maxImagesPerCall',
+  'v5/move-langchain-adapter',
+  'v5/move-provider-options',
+  'v5/move-react-to-ai-sdk',
+  'v5/move-ui-utils-to-ai',
+  'v5/rename-converttocoremessages-to-converttomodelmessages',
+  'v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse',
+  'v5/rename-todatastreamresponse-to-touimessagestreamresponse',
+  'v5/rename-tool-parameters-to-inputschema',
 ];
 
 const log = debug('codemod:upgrade');
 const error = debug('codemod:upgrade:error');
 
+// Extract v4 and v5 codemods from the bundle
+const v4Bundle = bundle.filter(codemod => codemod.startsWith('v4/'));
+const v5Bundle = bundle.filter(codemod => codemod.startsWith('v5/'));
+
+function runCodemods(
+  codemods: string[],
+  options: TransformOptions,
+  versionLabel: string,
+) {
+  const cwd = process.cwd();
+  log(`Starting ${versionLabel} codemods...`);
+  const modCount = codemods.length;
+  const bar = new SingleBar(
+    {
+      format: 'Progress |{bar}| {percentage}% | ETA: {eta}s || {codemod}',
+      hideCursor: true,
+    },
+    Presets.shades_classic,
+  );
+  bar.start(modCount, 0, { codemod: 'Starting...' });
+  const allErrors: TransformErrors = [];
+  for (const [index, codemod] of codemods.entries()) {
+    const errors = transform(codemod, cwd, options, { logStatus: false });
+    allErrors.push(...errors);
+    bar.increment(1, { codemod });
+  }
+  bar.stop();
+
+  if (allErrors.length > 0) {
+    log(
+      `Some ${versionLabel} codemods did not apply successfully to all files. Details:`,
+    );
+    allErrors.forEach(({ transform, filename, summary }) => {
+      error(`codemod=${transform}, path=${filename}, summary=${summary}`);
+    });
+  }
+
+  log(`${versionLabel} codemods complete.`);
+}
+
+export function upgradeV4(options: TransformOptions) {
+  runCodemods(v4Bundle, options, 'v4');
+}
+
+export function upgradeV5(options: TransformOptions) {
+  runCodemods(v5Bundle, options, 'v5');
+}
+
 export function upgrade(options: TransformOptions) {
   const cwd = process.cwd();
   log('Starting upgrade...');
diff --git a/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.input.ts b/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.input.ts
index bbbd4222cfb3..24bf026ad153 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.input.ts
@@ -2,12 +2,18 @@
 import { streamText } from 'ai';
 
 async function handler(req, res) {
-  const stream = await streamText({
+  const stream = streamText({
     model: 'gpt-4',
     prompt: 'Hello'
   });
 
-  const aiStream = stream.toAIStream();
+  const /* WARNING: toAIStream has been removed from streamText.
+   See migration guide at https://ai-sdk.dev/docs/migration-guides */
+  aiStream = stream.toAIStream();
+  /* WARNING: pipeAIStreamToResponse has been removed from streamText.
+   See migration guide at https://ai-sdk.dev/docs/migration-guides */
   stream.pipeAIStreamToResponse(res);
+  /* WARNING: toAIStreamResponse has been removed from streamText.
+   See migration guide at https://ai-sdk.dev/docs/migration-guides */
   return stream.toAIStreamResponse();
 }
diff --git a/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.output.ts b/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.output.ts
index 3d828f4960e6..b12345de735f 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.output.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-ai-stream-methods-from-stream-text-result.output.ts
@@ -2,17 +2,23 @@
 import { streamText } from 'ai';
 
 async function handler(req, res) {
-  const stream = await streamText({
+  const stream = streamText({
     model: 'gpt-4',
     prompt: 'Hello'
   });
 
   const /* WARNING: toAIStream has been removed from streamText.
    See migration guide at https://ai-sdk.dev/docs/migration-guides */
+  /* WARNING: toAIStream has been removed from streamText.
+See migration guide at https://ai-sdk.dev/docs/migration-guides */
   aiStream = stream.toAIStream();
+  /* WARNING: pipeAIStreamToResponse has been removed from streamText.
+   See migration guide at https://ai-sdk.dev/docs/migration-guides */
   /* WARNING: pipeAIStreamToResponse has been removed from streamText.
    See migration guide at https://ai-sdk.dev/docs/migration-guides */
   stream.pipeAIStreamToResponse(res);
+  /* WARNING: toAIStreamResponse has been removed from streamText.
+   See migration guide at https://ai-sdk.dev/docs/migration-guides */
   /* WARNING: toAIStreamResponse has been removed from streamText.
    See migration guide at https://ai-sdk.dev/docs/migration-guides */
   return stream.toAIStreamResponse();
diff --git a/packages/codemod/src/test/__testfixtures__/remove-anthropic-facade.input.ts b/packages/codemod/src/test/__testfixtures__/remove-anthropic-facade.input.ts
index df160f79db36..eddb3e9e905e 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-anthropic-facade.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-anthropic-facade.input.ts
@@ -1,7 +1,7 @@
 // @ts-nocheck
-import { Anthropic } from '@ai-sdk/anthropic';
+import { createAnthropic } from '@ai-sdk/anthropic';
 
-const anthropic = new Anthropic({
+const anthropic = createAnthropic({
   apiKey: 'key',
   baseURL: 'url',
   headers: { 'custom': 'header' }
diff --git a/packages/codemod/src/test/__testfixtures__/remove-await-fn-alias.input.ts b/packages/codemod/src/test/__testfixtures__/remove-await-fn-alias.input.ts
index a26a30123d2c..6e1656997cb5 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-await-fn-alias.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-await-fn-alias.input.ts
@@ -2,7 +2,7 @@
 import { streamText as myStreamText } from 'ai';
 
 async function main() {
-  const result = await myStreamText({
+  const result = myStreamText({
     model: 'gpt-3.5-turbo',
     prompt: 'Hello, world!',
   });
diff --git a/packages/codemod/src/test/__testfixtures__/remove-await-fn-other-fn.input.ts b/packages/codemod/src/test/__testfixtures__/remove-await-fn-other-fn.input.ts
index 1f7219655344..f52dbc4b19af 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-await-fn-other-fn.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-await-fn-other-fn.input.ts
@@ -5,7 +5,7 @@ async function main() {
   const result = await otherFunction({
     data: 'test',
   });
-  const streamResult = await streamText({
+  const streamResult = streamText({
     model: 'gpt-3.5-turbo',
     prompt: 'Hello again!',
   });
diff --git a/packages/codemod/src/test/__testfixtures__/remove-await-fn.input.ts b/packages/codemod/src/test/__testfixtures__/remove-await-fn.input.ts
index 1094b3f2a0c5..dbf8994e4b4e 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-await-fn.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-await-fn.input.ts
@@ -2,7 +2,7 @@
 import { streamText } from 'ai';
 
 async function main() {
-  const result = await streamText({
+  const result = streamText({
     model: 'gpt-3.5-turbo',
     prompt: 'Hello, world!',
   });
diff --git a/packages/codemod/src/test/__testfixtures__/remove-deprecated-provider-registry-exports.input.ts b/packages/codemod/src/test/__testfixtures__/remove-deprecated-provider-registry-exports.input.ts
index 80f6d4897309..b419e781b78d 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-deprecated-provider-registry-exports.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-deprecated-provider-registry-exports.input.ts
@@ -1,17 +1,17 @@
 // @ts-nocheck
-import { experimental_Provider, experimental_ProviderRegistry, experimental_ModelRegistry, experimental_createModelRegistry } from 'ai';
+import { Provider, experimental_createProviderRegistry } from 'ai';
 
-function createProvider(): experimental_Provider {
+function createProvider(): Provider {
   return {
     languageModel: () => null,
     textEmbeddingModel: () => null
   };
 }
 
-function createRegistry(): experimental_ProviderRegistry {
-  return experimental_createModelRegistry({
+function createRegistry(): Provider {
+  return experimental_createProviderRegistry({
     test: createProvider()
   });
 }
 
-const registry: experimental_ModelRegistry = createRegistry();
+const registry: Provider = createRegistry();
diff --git a/packages/codemod/src/test/__testfixtures__/remove-experimental-ai-fn-exports.input.ts b/packages/codemod/src/test/__testfixtures__/remove-experimental-ai-fn-exports.input.ts
index e815ba9e87b4..8bc3f2a5b736 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-experimental-ai-fn-exports.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-experimental-ai-fn-exports.input.ts
@@ -1,23 +1,23 @@
 // @ts-nocheck
-import { experimental_generateText, experimental_streamText, experimental_generateObject, experimental_streamObject } from 'ai';
+import { generateText, streamText, generateObject, streamObject } from 'ai';
 
 async function main() {
-  const result = await experimental_generateText({
+  const result = await generateText({
     model: provider('model-name'),
     prompt: 'Hello',
   });
 
-  const stream = await experimental_streamText({
+  const stream = await streamText({
     model: provider('model-name'),
     prompt: 'Hello',
   });
 
-  const obj = await experimental_generateObject({
+  const obj = await generateObject({
     model: provider('model-name'),
     prompt: 'Hello',
   });
 
-  const objStream = await experimental_streamObject({
+  const objStream = await streamObject({
     model: provider('model-name'),
     prompt: 'Hello',
   });
diff --git a/packages/codemod/src/test/__testfixtures__/remove-experimental-message-types.input.ts b/packages/codemod/src/test/__testfixtures__/remove-experimental-message-types.input.ts
index a3c9b912fa24..bc61bf3b2170 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-experimental-message-types.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-experimental-message-types.input.ts
@@ -1,17 +1,17 @@
 // @ts-nocheck
-import { ExperimentalMessage, ExperimentalUserMessage, ExperimentalAssistantMessage, ExperimentalToolMessage } from 'ai';
+import { CoreMessage, CoreUserMessage, CoreAssistantMessage, CoreToolMessage } from 'ai';
 
-function processMessage(message: ExperimentalMessage) {
+function processMessage(message: CoreMessage) {
   console.log(message);
 }
 
-function handleUser(msg: ExperimentalUserMessage) {
+function handleUser(msg: CoreUserMessage) {
   console.log(msg);
 }
 
-const assistant: ExperimentalAssistantMessage = {
+const assistant: CoreAssistantMessage = {
   role: 'assistant',
   content: 'Hello'
 };
 
-type ToolHandler = (msg: ExperimentalToolMessage) => void;
+type ToolHandler = (msg: CoreToolMessage) => void;
diff --git a/packages/codemod/src/test/__testfixtures__/remove-experimental-streamdata.input.ts b/packages/codemod/src/test/__testfixtures__/remove-experimental-streamdata.input.ts
index 2a5dc4ffda63..74da2ce87740 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-experimental-streamdata.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-experimental-streamdata.input.ts
@@ -1,20 +1,20 @@
 // @ts-nocheck
-import { experimental_StreamData } from 'ai';
+import { StreamData } from 'ai';
 import { experimental_StreamData as StreamDataLegacy } from 'other-pkg';
 
 // Should rename - class extension
-class CustomStream extends experimental_StreamData {
+class CustomStream extends StreamData {
   // Custom implementation
 }
 
 // Should rename - type usage
-const createStream = (): experimental_StreamData => {
-  return new experimental_StreamData();
+const createStream = (): StreamData => {
+  return new StreamData();
 };
 
 // Should rename - instance check
-const isStreamData = (obj: unknown): obj is experimental_StreamData => {
-  return obj instanceof experimental_StreamData;
+const isStreamData = (obj: unknown): obj is StreamData => {
+  return obj instanceof StreamData;
 };
 
 // Should NOT rename - different package
diff --git a/packages/codemod/src/test/__testfixtures__/remove-experimental-tool.input.ts b/packages/codemod/src/test/__testfixtures__/remove-experimental-tool.input.ts
index d98926e08222..bd81362099c4 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-experimental-tool.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-experimental-tool.input.ts
@@ -1,11 +1,11 @@
 // @ts-nocheck
-import { ExperimentalTool } from 'ai';
+import { CoreTool } from 'ai';
 
 interface Config {
-  tool: ExperimentalTool;
+  tool: CoreTool;
 }
 
-const myTool: ExperimentalTool = {
+const myTool: CoreTool = {
   description: 'test',
   parameters: {}
 };
diff --git a/packages/codemod/src/test/__testfixtures__/remove-experimental-useassistant.input.tsx b/packages/codemod/src/test/__testfixtures__/remove-experimental-useassistant.input.tsx
index db7d2c51e607..4291a627d81e 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-experimental-useassistant.input.tsx
+++ b/packages/codemod/src/test/__testfixtures__/remove-experimental-useassistant.input.tsx
@@ -1,9 +1,9 @@
 // @ts-nocheck
-import { experimental_useAssistant, Message } from 'ai/react';
+import { useAssistant, Message } from 'ai/react';
 
 export default function Page() {
   const { status, messages, input, submitMessage, handleInputChange } =
-    experimental_useAssistant({ api: '/api/assistant' });
+    useAssistant({ api: '/api/assistant' });
 
   return (
     <div className="flex flex-col gap-2">
diff --git a/packages/codemod/src/test/__testfixtures__/remove-google-facade.input.ts b/packages/codemod/src/test/__testfixtures__/remove-google-facade.input.ts
index 4bc444057170..7fe0d3b68c1e 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-google-facade.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-google-facade.input.ts
@@ -1,7 +1,7 @@
 // @ts-nocheck
-import { Google } from '@ai-sdk/google';
+import { createGoogleGenerativeAI } from '@ai-sdk/google';
 
-const google = new Google({
+const google = createGoogleGenerativeAI({
   apiKey: 'key',
   baseURL: 'url',
   headers: { 'custom': 'header' }
diff --git a/packages/codemod/src/test/__testfixtures__/remove-isxxxerror.input.ts b/packages/codemod/src/test/__testfixtures__/remove-isxxxerror.input.ts
index 17047e24dbe7..6a6686917684 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-isxxxerror.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-isxxxerror.input.ts
@@ -3,15 +3,15 @@ import { APICallError, TypeValidationError } from 'ai';
 import { NoSuchModelError } from '@ai-sdk/provider';
 import { CustomError } from 'other-pkg';
 
-if (APICallError.isAPICallError(error)) {
+if (APICallError.isInstance(error)) {
   console.log('API Call Error');
 }
 
-if (TypeValidationError.isTypeValidationError(error)) {
+if (TypeValidationError.isInstance(error)) {
   console.log('Type Validation Error');
 }
 
-if (NoSuchModelError.isNoSuchModelError(error)) {
+if (NoSuchModelError.isInstance(error)) {
   console.log('No Such Model Error');
 }
 
diff --git a/packages/codemod/src/test/__testfixtures__/remove-metadata-with-headers.input.ts b/packages/codemod/src/test/__testfixtures__/remove-metadata-with-headers.input.ts
index ab4b7ca1158b..3f696ce058c8 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-metadata-with-headers.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-metadata-with-headers.input.ts
@@ -1,10 +1,10 @@
 // @ts-nocheck
-import { generateObject, LanguageModelResponseMetadataWithHeaders } from 'ai';
+import { generateObject, LanguageModelResponseMetadata } from 'ai';
 import { LanguageModelResponseMetadataWithHeaders as MetadataWithHeaders } from 'other-pkg';
 
 // Direct type usage
 interface Config {
-  metadata: LanguageModelResponseMetadataWithHeaders;
+  metadata: LanguageModelResponseMetadata;
 }
 
 // Usage with generateObject result
@@ -16,13 +16,13 @@ async function processResult() {
   });
 
   // Save response metadata to variable
-  const metadata: LanguageModelResponseMetadataWithHeaders = result.response;
+  const metadata: LanguageModelResponseMetadata = result.response;
 
   // Destructured access
-  const { headers, timestamp }: LanguageModelResponseMetadataWithHeaders = result.response;
+  const { headers, timestamp }: LanguageModelResponseMetadata = result.response;
 
   // Direct property access
-  const responseData: LanguageModelResponseMetadataWithHeaders = {
+  const responseData: LanguageModelResponseMetadata = {
     id: result.response.id,
     timestamp: result.response.timestamp,
     headers: result.response.headers
@@ -35,7 +35,7 @@ async function processResult() {
 type OtherMetadata = MetadataWithHeaders;
 
 // Should rename
-const data: LanguageModelResponseMetadataWithHeaders = {
+const data: LanguageModelResponseMetadata = {
   id: 'test',
   timestamp: new Date(),
   headers: {}
diff --git a/packages/codemod/src/test/__testfixtures__/remove-mistral-facade.input.ts b/packages/codemod/src/test/__testfixtures__/remove-mistral-facade.input.ts
index 7c9bb60ebe04..dc9aae6c3deb 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-mistral-facade.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-mistral-facade.input.ts
@@ -1,7 +1,7 @@
 // @ts-nocheck
-import { Mistral } from '@ai-sdk/mistral';
+import { createMistral } from '@ai-sdk/mistral';
 
-const mistral = new Mistral({
+const mistral = createMistral({
   apiKey: 'key',
   baseURL: 'url',
   headers: { 'custom': 'header' }
diff --git a/packages/codemod/src/test/__testfixtures__/remove-openai-facade-as.input.ts b/packages/codemod/src/test/__testfixtures__/remove-openai-facade-as.input.ts
index 6587cec1930b..e638b150c151 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-openai-facade-as.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-openai-facade-as.input.ts
@@ -1,6 +1,6 @@
 // @ts-nocheck
 import OpenAI from 'openai';
-import { OpenAI as AiOpenAI } from '@ai-sdk/openai';
+import { createOpenAI } from '@ai-sdk/openai';
 
 const client1 = new OpenAI();
-const client2 = new AiOpenAI();
+const client2 = createOpenAI();
diff --git a/packages/codemod/src/test/__testfixtures__/remove-openai-facade.input.ts b/packages/codemod/src/test/__testfixtures__/remove-openai-facade.input.ts
index 255d86fdc30f..36796b86a954 100644
--- a/packages/codemod/src/test/__testfixtures__/remove-openai-facade.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/remove-openai-facade.input.ts
@@ -1,7 +1,7 @@
 // @ts-nocheck
-import { OpenAI } from '@ai-sdk/openai';
+import { createOpenAI } from '@ai-sdk/openai';
 
-const openai = new OpenAI({
+const openai = createOpenAI({
   apiKey: 'key',
   baseURL: 'url',
   headers: { 'custom': 'header' }
diff --git a/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.input.ts b/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.input.ts
new file mode 100644
index 000000000000..f0685efc525e
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.input.ts
@@ -0,0 +1,17 @@
+// @ts-nocheck
+import { convertToCoreMessages, streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToCoreMessages(messages),
+  });
+
+  return result.toDataStreamResponse();
+}
+
+// Also test function call
+const coreMessages = convertToCoreMessages(uiMessages);
+console.log(coreMessages); 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.output.ts b/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.output.ts
new file mode 100644
index 000000000000..9df2de6448a7
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-converttocoremessages-to-converttomodelmessages.output.ts
@@ -0,0 +1,17 @@
+// @ts-nocheck
+import { convertToModelMessages, streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages: convertToModelMessages(messages),
+  });
+
+  return result.toDataStreamResponse();
+}
+
+// Also test function call
+const coreMessages = convertToModelMessages(uiMessages);
+console.log(coreMessages); 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-format-stream-part.input.ts b/packages/codemod/src/test/__testfixtures__/rename-format-stream-part.input.ts
index 27f763edcfdd..b237eaa92a61 100644
--- a/packages/codemod/src/test/__testfixtures__/rename-format-stream-part.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/rename-format-stream-part.input.ts
@@ -1,4 +1,4 @@
 // @ts-nocheck
-import { formatStreamPart } from 'ai';
+import { formatDataStreamPart } from 'ai';
 
-const response = new Response(formatStreamPart('text', cached));
+const response = new Response(formatDataStreamPart('text', cached));
diff --git a/packages/codemod/src/test/__testfixtures__/rename-parse-stream-part.input.ts b/packages/codemod/src/test/__testfixtures__/rename-parse-stream-part.input.ts
index cacc883c2000..da03c85bf388 100644
--- a/packages/codemod/src/test/__testfixtures__/rename-parse-stream-part.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/rename-parse-stream-part.input.ts
@@ -1,4 +1,4 @@
 // @ts-nocheck
-import { parseStreamPart } from 'ai';
+import { parseDataStreamPart } from 'ai';
 
-const result = parseStreamPart(data);
+const result = parseDataStreamPart(data);
diff --git a/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.input.ts b/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.input.ts
new file mode 100644
index 000000000000..c0fa6c7c0337
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.input.ts
@@ -0,0 +1,17 @@
+// @ts-nocheck
+import { streamText, pipeDataStreamToResponse } from 'ai';
+
+export async function handler(req: Request, res: Response) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages,
+  });
+
+  // Method call
+  result.pipeDataStreamToResponse(res);
+  
+  // Also test standalone function import
+  pipeDataStreamToResponse(result.toDataStream(), res);
+} 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.output.ts b/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.output.ts
new file mode 100644
index 000000000000..abb98575f02f
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.output.ts
@@ -0,0 +1,17 @@
+// @ts-nocheck
+import { streamText, pipeUIMessageStreamToResponse } from 'ai';
+
+export async function handler(req: Request, res: Response) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages,
+  });
+
+  // Method call
+  result.pipeUIMessageStreamToResponse(res);
+  
+  // Also test standalone function import
+  pipeUIMessageStreamToResponse(result.toDataStream(), res);
+} 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.input.ts b/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.input.ts
new file mode 100644
index 000000000000..9b0abc45b08f
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.input.ts
@@ -0,0 +1,20 @@
+// @ts-nocheck
+import { streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages,
+  });
+
+  return result.toDataStreamResponse();
+}
+
+// Another example
+const stream = streamText({ model, prompt });
+const response = stream.toDataStreamResponse({ 
+  status: 200,
+  headers: { 'custom': 'header' }
+}); 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.output.ts b/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.output.ts
new file mode 100644
index 000000000000..5fdf3c7b81c7
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-todatastreamresponse-to-touimessagestreamresponse.output.ts
@@ -0,0 +1,20 @@
+// @ts-nocheck
+import { streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamText({
+    model: openai('gpt-4o'),
+    messages,
+  });
+
+  return result.toUIMessageStreamResponse();
+}
+
+// Another example
+const stream = streamText({ model, prompt });
+const response = stream.toUIMessageStreamResponse({ 
+  status: 200,
+  headers: { 'custom': 'header' }
+}); 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.input.ts b/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.input.ts
new file mode 100644
index 000000000000..ecfd800f8363
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.input.ts
@@ -0,0 +1,36 @@
+// @ts-nocheck
+import { tool } from 'ai';
+import { z } from 'zod';
+
+// Using tool() function
+const weatherTool = tool({
+  description: 'Get weather for a location',
+  parameters: z.object({
+    location: z.string(),
+  }),
+  execute: async ({ location }) => {
+    return `Weather in ${location}`;
+  },
+});
+
+// In tools object
+const tools = {
+  weather: {
+    description: 'Get weather information',
+    parameters: z.object({
+      city: z.string(),
+    }),
+    execute: async ({ city }) => {
+      return `Weather in ${city}`;
+    },
+  },
+  search: {
+    description: 'Search the web',
+    parameters: z.object({
+      query: z.string(),
+    }),
+    execute: async ({ query }) => {
+      return `Search results for ${query}`;
+    },
+  },
+}; 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.output.ts b/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.output.ts
new file mode 100644
index 000000000000..6cc8487c8e77
--- /dev/null
+++ b/packages/codemod/src/test/__testfixtures__/rename-tool-parameters-to-inputschema.output.ts
@@ -0,0 +1,36 @@
+// @ts-nocheck
+import { tool } from 'ai';
+import { z } from 'zod';
+
+// Using tool() function
+const weatherTool = tool({
+  description: 'Get weather for a location',
+  inputSchema: z.object({
+    location: z.string(),
+  }),
+  execute: async ({ location }) => {
+    return `Weather in ${location}`;
+  },
+});
+
+// In tools object
+const tools = {
+  weather: {
+    description: 'Get weather information',
+    inputSchema: z.object({
+      city: z.string(),
+    }),
+    execute: async ({ city }) => {
+      return `Weather in ${city}`;
+    },
+  },
+  search: {
+    description: 'Search the web',
+    inputSchema: z.object({
+      query: z.string(),
+    }),
+    execute: async ({ query }) => {
+      return `Search results for ${query}`;
+    },
+  },
+}; 
\ No newline at end of file
diff --git a/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.input.ts b/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.input.ts
index 7e7fc8501631..9c554a77675b 100644
--- a/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.input.ts
@@ -2,7 +2,9 @@
 import { LangChainAdapter } from 'ai';
 import { model } from 'langchain';
 
-const stream = LangChainAdapter.toAIStream(model.stream(), {
+const /* WARNING: toAIStream has been removed from streamText.
+ See migration guide at https://ai-sdk.dev/docs/migration-guides */
+stream = LangChainAdapter.toAIStream(model.stream(), {
   onToken: token => console.log(token)
 });
 
diff --git a/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.output.ts b/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.output.ts
index 1e6a9331cf5a..c93427ce640c 100644
--- a/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.output.ts
+++ b/packages/codemod/src/test/__testfixtures__/replace-langchain-toaistream.output.ts
@@ -2,7 +2,9 @@
 import { LangChainAdapter } from 'ai';
 import { model } from 'langchain';
 
-const stream = LangChainAdapter.toDataStream(model.stream(), {
+const /* WARNING: toAIStream has been removed from streamText.
+ See migration guide at https://ai-sdk.dev/docs/migration-guides */
+stream = LangChainAdapter.toDataStream(model.stream(), {
   onToken: token => console.log(token)
 });
 
diff --git a/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.input.ts b/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.input.ts
index fdc3c86b34fc..478c754c70c6 100644
--- a/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.input.ts
+++ b/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.input.ts
@@ -9,19 +9,19 @@ await generateText({
 });
 
 // Test streamText with just maxToolRoundtrips
-await streamText({
+streamText({
   model,
   maxToolRoundtrips: 5
 });
 
 // Test streamText with subsequent maxToolRoundtrips
-await streamText({
+streamText({
   model,
   maxToolRoundtrips: 67
 });
 
 // Test streamText with no roundtrips
-await streamText({
+streamText({
   model
 });
 
diff --git a/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.output.ts b/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.output.ts
index 5406f997b385..8f97f56e3b8b 100644
--- a/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.output.ts
+++ b/packages/codemod/src/test/__testfixtures__/replace-roundtrips-with-maxsteps.output.ts
@@ -8,19 +8,19 @@ await generateText({
 });
 
 // Test streamText with just maxToolRoundtrips
-await streamText({
+streamText({
   model,
   maxSteps: 6
 });
 
 // Test streamText with subsequent maxToolRoundtrips
-await streamText({
+streamText({
   model,
   maxSteps: 68
 });
 
 // Test streamText with no roundtrips
-await streamText({
+streamText({
   model
 });
 
diff --git a/packages/codemod/src/test/remove-ai-stream-methods-from-stream-text-result.test.ts b/packages/codemod/src/test/remove-ai-stream-methods-from-stream-text-result.test.ts
index 5898ddbc303b..db9967a4732e 100644
--- a/packages/codemod/src/test/remove-ai-stream-methods-from-stream-text-result.test.ts
+++ b/packages/codemod/src/test/remove-ai-stream-methods-from-stream-text-result.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-ai-stream-methods-from-stream-text-result';
+import transformer from '../codemods/v4/remove-ai-stream-methods-from-stream-text-result';
 import { testTransform } from './test-utils';
 
 describe('remove-ai-stream-methods-from-stream-text-result', () => {
diff --git a/packages/codemod/src/test/remove-anthropic-facade.test.ts b/packages/codemod/src/test/remove-anthropic-facade.test.ts
index 96b724cba765..cea269e6525a 100644
--- a/packages/codemod/src/test/remove-anthropic-facade.test.ts
+++ b/packages/codemod/src/test/remove-anthropic-facade.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-anthropic-facade';
+import transformer from '../codemods/v4/remove-anthropic-facade';
 import { testTransform } from './test-utils';
 
 describe('remove-anthropic-facade', () => {
diff --git a/packages/codemod/src/test/remove-await-fn.test.ts b/packages/codemod/src/test/remove-await-fn.test.ts
index 418b9747b8ee..fe93aa0ab153 100644
--- a/packages/codemod/src/test/remove-await-fn.test.ts
+++ b/packages/codemod/src/test/remove-await-fn.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-await-streamtext';
+import transformer from '../codemods/v4/remove-await-streamtext';
 import { testTransform } from './test-utils';
 
 describe('remove-await-fn', () => {
diff --git a/packages/codemod/src/test/remove-deprecated-provider-registry-exports.test.ts b/packages/codemod/src/test/remove-deprecated-provider-registry-exports.test.ts
index af74b74a9471..ed334f70c920 100644
--- a/packages/codemod/src/test/remove-deprecated-provider-registry-exports.test.ts
+++ b/packages/codemod/src/test/remove-deprecated-provider-registry-exports.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-deprecated-provider-registry-exports';
+import transformer from '../codemods/v4/remove-deprecated-provider-registry-exports';
 import { testTransform } from './test-utils';
 
 describe('remove-deprecated-provider-registry-exports', () => {
diff --git a/packages/codemod/src/test/remove-experimental-ai-fn-exports.test.ts b/packages/codemod/src/test/remove-experimental-ai-fn-exports.test.ts
index 0d059efcc86d..402b3535fd71 100644
--- a/packages/codemod/src/test/remove-experimental-ai-fn-exports.test.ts
+++ b/packages/codemod/src/test/remove-experimental-ai-fn-exports.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-experimental-ai-fn-exports';
+import transformer from '../codemods/v4/remove-experimental-ai-fn-exports';
 import { testTransform } from './test-utils';
 
 describe('remove-experimental-ai-fn-exports', () => {
diff --git a/packages/codemod/src/test/remove-experimental-message-types.test.ts b/packages/codemod/src/test/remove-experimental-message-types.test.ts
index a6d6afd81f5f..7b0c424ba97e 100644
--- a/packages/codemod/src/test/remove-experimental-message-types.test.ts
+++ b/packages/codemod/src/test/remove-experimental-message-types.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-experimental-message-types';
+import transformer from '../codemods/v4/remove-experimental-message-types';
 import { testTransform } from './test-utils';
 
 describe('remove-experimental-message-types', () => {
diff --git a/packages/codemod/src/test/remove-experimental-streamdata.test.ts b/packages/codemod/src/test/remove-experimental-streamdata.test.ts
index 44bb3fa032b0..2c784685a6a3 100644
--- a/packages/codemod/src/test/remove-experimental-streamdata.test.ts
+++ b/packages/codemod/src/test/remove-experimental-streamdata.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-experimental-streamdata';
+import transformer from '../codemods/v4/remove-experimental-streamdata';
 import { testTransform } from './test-utils';
 
 describe('remove-experimental-streamdata', () => {
diff --git a/packages/codemod/src/test/remove-experimental-tool.test.ts b/packages/codemod/src/test/remove-experimental-tool.test.ts
index cd59e851e487..a1e39cc70869 100644
--- a/packages/codemod/src/test/remove-experimental-tool.test.ts
+++ b/packages/codemod/src/test/remove-experimental-tool.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-experimental-tool';
+import transformer from '../codemods/v4/remove-experimental-tool';
 import { testTransform } from './test-utils';
 
 describe('remove-experimental-tool', () => {
diff --git a/packages/codemod/src/test/remove-experimental-useassistant.test.ts b/packages/codemod/src/test/remove-experimental-useassistant.test.ts
index a6c2c54769fa..9d57a4282c69 100644
--- a/packages/codemod/src/test/remove-experimental-useassistant.test.ts
+++ b/packages/codemod/src/test/remove-experimental-useassistant.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-experimental-useassistant';
+import transformer from '../codemods/v4/remove-experimental-useassistant';
 import { testTransform } from './test-utils';
 
 describe('remove-experimental-useassistant', () => {
diff --git a/packages/codemod/src/test/remove-google-facade.test.ts b/packages/codemod/src/test/remove-google-facade.test.ts
index 69d3ffb9a884..6d6a9a08383b 100644
--- a/packages/codemod/src/test/remove-google-facade.test.ts
+++ b/packages/codemod/src/test/remove-google-facade.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-google-facade';
+import transformer from '../codemods/v4/remove-google-facade';
 import { testTransform } from './test-utils';
 
 describe('remove-google-facade', () => {
diff --git a/packages/codemod/src/test/remove-isxxxerror.test.ts b/packages/codemod/src/test/remove-isxxxerror.test.ts
index 13207c95ff44..1c7f06f05e24 100644
--- a/packages/codemod/src/test/remove-isxxxerror.test.ts
+++ b/packages/codemod/src/test/remove-isxxxerror.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-isxxxerror';
+import transformer from '../codemods/v4/remove-isxxxerror';
 import { testTransform } from './test-utils';
 
 describe('remove-isxxxerror', () => {
diff --git a/packages/codemod/src/test/remove-metadata-with-headers.test.ts b/packages/codemod/src/test/remove-metadata-with-headers.test.ts
index 1110944d9819..4dfc49b1adfa 100644
--- a/packages/codemod/src/test/remove-metadata-with-headers.test.ts
+++ b/packages/codemod/src/test/remove-metadata-with-headers.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-metadata-with-headers';
+import transformer from '../codemods/v4/remove-metadata-with-headers';
 import { testTransform } from './test-utils';
 
 describe('remove-metadata-with-headers', () => {
diff --git a/packages/codemod/src/test/remove-mistral-facade.test.ts b/packages/codemod/src/test/remove-mistral-facade.test.ts
index a4ab86164877..97e05e78ebd3 100644
--- a/packages/codemod/src/test/remove-mistral-facade.test.ts
+++ b/packages/codemod/src/test/remove-mistral-facade.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-mistral-facade';
+import transformer from '../codemods/v4/remove-mistral-facade';
 import { testTransform } from './test-utils';
 
 describe('remove-mistral-facade', () => {
diff --git a/packages/codemod/src/test/remove-openai-facade.test.ts b/packages/codemod/src/test/remove-openai-facade.test.ts
index 8fa99ed6e9bf..969959388c45 100644
--- a/packages/codemod/src/test/remove-openai-facade.test.ts
+++ b/packages/codemod/src/test/remove-openai-facade.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/remove-openai-facade';
+import transformer from '../codemods/v4/remove-openai-facade';
 import { testTransform } from './test-utils';
 
 describe('remove-openai-facade', () => {
diff --git a/packages/codemod/src/test/rename-converttocoremessages-to-converttomodelmessages.test.ts b/packages/codemod/src/test/rename-converttocoremessages-to-converttomodelmessages.test.ts
new file mode 100644
index 000000000000..36f96fd7c83d
--- /dev/null
+++ b/packages/codemod/src/test/rename-converttocoremessages-to-converttomodelmessages.test.ts
@@ -0,0 +1,12 @@
+import { describe, it } from 'vitest';
+import transformer from '../codemods/v5/rename-converttocoremessages-to-converttomodelmessages';
+import { testTransform } from './test-utils';
+
+describe('rename-converttocoremessages-to-converttomodelmessages', () => {
+  it('transforms correctly', () => {
+    testTransform(
+      transformer,
+      'rename-converttocoremessages-to-converttomodelmessages',
+    );
+  });
+});
diff --git a/packages/codemod/src/test/rename-format-stream-part.test.ts b/packages/codemod/src/test/rename-format-stream-part.test.ts
index 03fb80670c32..f8b8d3a6284c 100644
--- a/packages/codemod/src/test/rename-format-stream-part.test.ts
+++ b/packages/codemod/src/test/rename-format-stream-part.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/rename-format-stream-part';
+import transformer from '../codemods/v4/rename-format-stream-part';
 import { testTransform } from './test-utils';
 
 describe('rename-format-stream-part', () => {
diff --git a/packages/codemod/src/test/rename-parse-stream-part.test.ts b/packages/codemod/src/test/rename-parse-stream-part.test.ts
index 4dedd49a019f..0e08c3a8bff2 100644
--- a/packages/codemod/src/test/rename-parse-stream-part.test.ts
+++ b/packages/codemod/src/test/rename-parse-stream-part.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/rename-parse-stream-part';
+import transformer from '../codemods/v4/rename-parse-stream-part';
 import { testTransform } from './test-utils';
 
 describe('rename-parse-stream-part', () => {
diff --git a/packages/codemod/src/test/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.test.ts b/packages/codemod/src/test/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.test.ts
new file mode 100644
index 000000000000..a6ff5d9c0d99
--- /dev/null
+++ b/packages/codemod/src/test/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse.test.ts
@@ -0,0 +1,12 @@
+import { describe, it } from 'vitest';
+import transformer from '../codemods/v5/rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse';
+import { testTransform } from './test-utils';
+
+describe('rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse', () => {
+  it('transforms correctly', () => {
+    testTransform(
+      transformer,
+      'rename-pipedatastreamtoresponse-to-pipeuimessagestreamtoresponse',
+    );
+  });
+});
diff --git a/packages/codemod/src/test/rename-todatastreamresponse-to-touimessagestreamresponse.test.ts b/packages/codemod/src/test/rename-todatastreamresponse-to-touimessagestreamresponse.test.ts
new file mode 100644
index 000000000000..9eb64a69e974
--- /dev/null
+++ b/packages/codemod/src/test/rename-todatastreamresponse-to-touimessagestreamresponse.test.ts
@@ -0,0 +1,12 @@
+import { describe, it } from 'vitest';
+import transformer from '../codemods/v5/rename-todatastreamresponse-to-touimessagestreamresponse';
+import { testTransform } from './test-utils';
+
+describe('rename-todatastreamresponse-to-touimessagestreamresponse', () => {
+  it('transforms correctly', () => {
+    testTransform(
+      transformer,
+      'rename-todatastreamresponse-to-touimessagestreamresponse',
+    );
+  });
+});
diff --git a/packages/codemod/src/test/rename-tool-parameters-to-inputschema.test.ts b/packages/codemod/src/test/rename-tool-parameters-to-inputschema.test.ts
new file mode 100644
index 000000000000..570624dd044d
--- /dev/null
+++ b/packages/codemod/src/test/rename-tool-parameters-to-inputschema.test.ts
@@ -0,0 +1,9 @@
+import { describe, it } from 'vitest';
+import transformer from '../codemods/v5/rename-tool-parameters-to-inputschema';
+import { testTransform } from './test-utils';
+
+describe('rename-tool-parameters-to-inputschema', () => {
+  it('transforms correctly', () => {
+    testTransform(transformer, 'rename-tool-parameters-to-inputschema');
+  });
+});
diff --git a/packages/codemod/src/test/replace-baseurl.test.ts b/packages/codemod/src/test/replace-baseurl.test.ts
index 9bd924396029..1adc8f8ba2d6 100644
--- a/packages/codemod/src/test/replace-baseurl.test.ts
+++ b/packages/codemod/src/test/replace-baseurl.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-baseurl';
+import transformer from '../codemods/v4/replace-baseurl';
 import { testTransform } from './test-utils';
 
 describe('replace-baseurl', () => {
diff --git a/packages/codemod/src/test/replace-continuation-steps.test.ts b/packages/codemod/src/test/replace-continuation-steps.test.ts
index c55553c8cfc6..7aeae4c3c3d5 100644
--- a/packages/codemod/src/test/replace-continuation-steps.test.ts
+++ b/packages/codemod/src/test/replace-continuation-steps.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-continuation-steps';
+import transformer from '../codemods/v4/replace-continuation-steps';
 import { testTransform } from './test-utils';
 
 describe('replace-continuation-steps', () => {
diff --git a/packages/codemod/src/test/replace-langchain-toaistream.test.ts b/packages/codemod/src/test/replace-langchain-toaistream.test.ts
index e26f1b9985b4..ab88579616ea 100644
--- a/packages/codemod/src/test/replace-langchain-toaistream.test.ts
+++ b/packages/codemod/src/test/replace-langchain-toaistream.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-langchain-toaistream';
+import transformer from '../codemods/v4/replace-langchain-toaistream';
 import { testTransform } from './test-utils';
 
 describe('replace-langchain-toaistream', () => {
diff --git a/packages/codemod/src/test/replace-nanoid.test.ts b/packages/codemod/src/test/replace-nanoid.test.ts
index 46b4f9866502..5213be3e9bea 100644
--- a/packages/codemod/src/test/replace-nanoid.test.ts
+++ b/packages/codemod/src/test/replace-nanoid.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-nanoid';
+import transformer from '../codemods/v4/replace-nanoid';
 import { testTransform } from './test-utils';
 
 describe('replace-nanoid', () => {
diff --git a/packages/codemod/src/test/replace-roundtrips-with-maxsteps.test.ts b/packages/codemod/src/test/replace-roundtrips-with-maxsteps.test.ts
index 70becf320b4c..3bd22c847b06 100644
--- a/packages/codemod/src/test/replace-roundtrips-with-maxsteps.test.ts
+++ b/packages/codemod/src/test/replace-roundtrips-with-maxsteps.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-roundtrips-with-maxsteps';
+import transformer from '../codemods/v4/replace-roundtrips-with-maxsteps';
 import { testTransform } from './test-utils';
 
 describe('replace-roundtrips-with-maxsteps', () => {
diff --git a/packages/codemod/src/test/replace-token-usage-types.test.ts b/packages/codemod/src/test/replace-token-usage-types.test.ts
index 5ed80c3dd895..e3208c2fe2f7 100644
--- a/packages/codemod/src/test/replace-token-usage-types.test.ts
+++ b/packages/codemod/src/test/replace-token-usage-types.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/replace-token-usage-types';
+import transformer from '../codemods/v4/replace-token-usage-types';
 import { testTransform } from './test-utils';
 
 describe('replace-token-usage-types', () => {
diff --git a/packages/codemod/src/test/rewrite-framework-imports.test.ts b/packages/codemod/src/test/rewrite-framework-imports.test.ts
index 7a08f4c009a0..7f84d6f0c8ba 100644
--- a/packages/codemod/src/test/rewrite-framework-imports.test.ts
+++ b/packages/codemod/src/test/rewrite-framework-imports.test.ts
@@ -1,5 +1,5 @@
 import { describe, it } from 'vitest';
-import transformer from '../codemods/rewrite-framework-imports';
+import transformer from '../codemods/v4/rewrite-framework-imports';
 import { testTransform } from './test-utils';
 
 describe('rewrite-framework-imports', () => {
diff --git a/packages/cohere/CHANGELOG.md b/packages/cohere/CHANGELOG.md
index cecd48656e24..63b70f22735f 100644
--- a/packages/cohere/CHANGELOG.md
+++ b/packages/cohere/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/cohere
 
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 2.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/cohere/package.json b/packages/cohere/package.json
index 6143d852775b..126e1b8a6d7c 100644
--- a/packages/cohere/package.json
+++ b/packages/cohere/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/cohere",
-  "version": "2.0.0-beta.2",
+  "version": "2.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/deepgram/CHANGELOG.md b/packages/deepgram/CHANGELOG.md
index 4a1192de0a92..8ff80aa6f111 100644
--- a/packages/deepgram/CHANGELOG.md
+++ b/packages/deepgram/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/deepgram
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/deepgram/package.json b/packages/deepgram/package.json
index f48b7d5957c2..4e87c1086350 100644
--- a/packages/deepgram/package.json
+++ b/packages/deepgram/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/deepgram",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/deepinfra/CHANGELOG.md b/packages/deepinfra/CHANGELOG.md
index fcf6772626da..36b6e3feaca5 100644
--- a/packages/deepinfra/CHANGELOG.md
+++ b/packages/deepinfra/CHANGELOG.md
@@ -1,5 +1,61 @@
 # @ai-sdk/deepinfra
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/deepinfra/package.json b/packages/deepinfra/package.json
index 0a92a26bc3ab..047f5d7555f1 100644
--- a/packages/deepinfra/package.json
+++ b/packages/deepinfra/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/deepinfra",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/deepseek/CHANGELOG.md b/packages/deepseek/CHANGELOG.md
index 87fd3478e591..210239627d48 100644
--- a/packages/deepseek/CHANGELOG.md
+++ b/packages/deepseek/CHANGELOG.md
@@ -1,5 +1,61 @@
 # @ai-sdk/deepseek
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/deepseek/package.json b/packages/deepseek/package.json
index 1ab55ea2a28f..a1b9c060cf24 100644
--- a/packages/deepseek/package.json
+++ b/packages/deepseek/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/deepseek",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/elevenlabs/CHANGELOG.md b/packages/elevenlabs/CHANGELOG.md
index 43b94ba20917..1d78e693d1da 100644
--- a/packages/elevenlabs/CHANGELOG.md
+++ b/packages/elevenlabs/CHANGELOG.md
@@ -1,5 +1,41 @@
 # @ai-sdk/elevenlabs
 
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- 2219fef: fix(elevenlabs): use camelCase fileFormat in provider options
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/elevenlabs/package.json b/packages/elevenlabs/package.json
index 619e8aa1f751..12278e469e48 100644
--- a/packages/elevenlabs/package.json
+++ b/packages/elevenlabs/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/elevenlabs",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.7",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/elevenlabs/src/elevenlabs-transcription-model.test.ts b/packages/elevenlabs/src/elevenlabs-transcription-model.test.ts
index cde244a16448..e093bbd535b7 100644
--- a/packages/elevenlabs/src/elevenlabs-transcription-model.test.ts
+++ b/packages/elevenlabs/src/elevenlabs-transcription-model.test.ts
@@ -342,4 +342,40 @@ describe('doGenerate', () => {
       }
     `);
   });
+
+  it('should pass provider options correctly', async () => {
+    prepareJsonResponse();
+
+    await model.doGenerate({
+      audio: audioData,
+      mediaType: 'audio/wav',
+      providerOptions: {
+        elevenlabs: {
+          languageCode: 'en',
+          fileFormat: 'pcm_s16le_16',
+          tagAudioEvents: false,
+          numSpeakers: 2,
+          timestampsGranularity: 'character',
+          diarize: true,
+        },
+      },
+    });
+
+    expect(await server.calls[0].requestBodyMultipart).toMatchInlineSnapshot(`
+      {
+        "diarize": "true",
+        "file": File {
+          Symbol(kHandle): Blob {},
+          Symbol(kLength): 40169,
+          Symbol(kType): "audio/wav",
+        },
+        "file_format": "pcm_s16le_16",
+        "language_code": "en",
+        "model_id": "scribe_v1",
+        "num_speakers": "2",
+        "tag_audio_events": "false",
+        "timestamps_granularity": "character",
+      }
+    `);
+  });
 });
diff --git a/packages/elevenlabs/src/elevenlabs-transcription-model.ts b/packages/elevenlabs/src/elevenlabs-transcription-model.ts
index 8541b757939a..35af6c69e781 100644
--- a/packages/elevenlabs/src/elevenlabs-transcription-model.ts
+++ b/packages/elevenlabs/src/elevenlabs-transcription-model.ts
@@ -26,7 +26,7 @@ const elevenLabsProviderOptionsSchema = z.object({
     .nullish()
     .default('word'),
   diarize: z.boolean().nullish().default(false),
-  file_format: z.enum(['pcm_s16le_16', 'other']).nullish().default('other'),
+  fileFormat: z.enum(['pcm_s16le_16', 'other']).nullish().default('other'),
 });
 
 export type ElevenLabsTranscriptionCallOptions = z.infer<
@@ -84,7 +84,7 @@ export class ElevenLabsTranscriptionModel implements TranscriptionModelV2 {
         num_speakers: elevenlabsOptions.numSpeakers ?? undefined,
         timestamps_granularity:
           elevenlabsOptions.timestampsGranularity ?? undefined,
-        file_format: elevenlabsOptions.file_format ?? undefined,
+        file_format: elevenlabsOptions.fileFormat ?? undefined,
       };
 
       if (typeof elevenlabsOptions.diarize === 'boolean') {
diff --git a/packages/fal/CHANGELOG.md b/packages/fal/CHANGELOG.md
index 8b4816f06f24..43df87b94aa2 100644
--- a/packages/fal/CHANGELOG.md
+++ b/packages/fal/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/fal
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/fal/package.json b/packages/fal/package.json
index 91d11e716f98..a90cc0a30ed9 100644
--- a/packages/fal/package.json
+++ b/packages/fal/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/fal",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/fireworks/CHANGELOG.md b/packages/fireworks/CHANGELOG.md
index 0e614c0a44c2..c478f06ff6dd 100644
--- a/packages/fireworks/CHANGELOG.md
+++ b/packages/fireworks/CHANGELOG.md
@@ -1,5 +1,61 @@
 # @ai-sdk/fireworks
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/fireworks/package.json b/packages/fireworks/package.json
index f137e2b9c342..86ba1642d45a 100644
--- a/packages/fireworks/package.json
+++ b/packages/fireworks/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/fireworks",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/fireworks/src/fireworks-chat-options.ts b/packages/fireworks/src/fireworks-chat-options.ts
index f8f120273b29..a8a2eef5bc5e 100644
--- a/packages/fireworks/src/fireworks-chat-options.ts
+++ b/packages/fireworks/src/fireworks-chat-options.ts
@@ -16,4 +16,5 @@ export type FireworksChatModelId =
   | 'accounts/fireworks/models/llama-v3p2-11b-vision-instruct'
   | 'accounts/fireworks/models/qwq-32b'
   | 'accounts/fireworks/models/yi-large'
+  | 'accounts/fireworks/models/kimi-k2-instruct'
   | (string & {});
diff --git a/packages/gateway/CHANGELOG.md b/packages/gateway/CHANGELOG.md
index 7a09c4c0bfd7..2bfdacf787c0 100644
--- a/packages/gateway/CHANGELOG.md
+++ b/packages/gateway/CHANGELOG.md
@@ -1,5 +1,80 @@
 # @ai-sdk/gateway
 
+## 1.0.0-beta.14
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.13
+
+### Patch Changes
+
+- 0477a13: feat (provider/gateway): Add OpenAI embedding support
+- cf1e00e: feat (provider/gateway): add devstral model id
+- cc21603: feat (provider/gateway): Add AI Gateway provider options (ordering)
+
+## 1.0.0-beta.12
+
+### Patch Changes
+
+- 70ebead: feat (provider/gateway): add qwen3 coder model id
+
+## 1.0.0-beta.11
+
+### Patch Changes
+
+- 8bd3624: feat (provider/gateway): update model ids to include vercel
+- e001ea1: fix (provider/gateway): remove unnecessary 'x-' prefix on auth method header
+
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- c190907: fix (provider/gateway): use zod v4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- 9e16bfd: feat (provider/gateway): update model ids
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- 30ab1de: feat (provider/gateway): add grok-4 model id
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 97fedf9: feat (providers/gateway): include description and pricing info in model list
+
 ## 1.0.0-beta.3
 
 ### Patch Changes
diff --git a/packages/gateway/package.json b/packages/gateway/package.json
index e6fbe1dda31b..e46165870f95 100644
--- a/packages/gateway/package.json
+++ b/packages/gateway/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@ai-sdk/gateway",
   "private": false,
-  "version": "1.0.0-beta.3",
+  "version": "1.0.0-beta.14",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/gateway/src/errors/parse-auth-method.test.ts b/packages/gateway/src/errors/parse-auth-method.test.ts
index f3c23e1d4f5a..2bcc74c9bbf0 100644
--- a/packages/gateway/src/errors/parse-auth-method.test.ts
+++ b/packages/gateway/src/errors/parse-auth-method.test.ts
@@ -1,13 +1,12 @@
 import { describe, expect, it } from 'vitest';
-import { z } from 'zod';
 import {
-  parseAuthMethod,
   GATEWAY_AUTH_METHOD_HEADER,
+  parseAuthMethod,
 } from './parse-auth-method';
 
 describe('GATEWAY_AUTH_METHOD_HEADER', () => {
   it('should export the correct header name', () => {
-    expect(GATEWAY_AUTH_METHOD_HEADER).toBe('x-ai-gateway-auth-method');
+    expect(GATEWAY_AUTH_METHOD_HEADER).toBe('ai-gateway-auth-method');
   });
 });
 
diff --git a/packages/gateway/src/errors/parse-auth-method.ts b/packages/gateway/src/errors/parse-auth-method.ts
index b0325df2c92a..9f74cd01b6a5 100644
--- a/packages/gateway/src/errors/parse-auth-method.ts
+++ b/packages/gateway/src/errors/parse-auth-method.ts
@@ -1,6 +1,6 @@
-import { z } from 'zod';
+import { z } from 'zod/v4';
 
-export const GATEWAY_AUTH_METHOD_HEADER = 'x-ai-gateway-auth-method' as const;
+export const GATEWAY_AUTH_METHOD_HEADER = 'ai-gateway-auth-method' as const;
 
 export function parseAuthMethod(headers: Record<string, string | undefined>) {
   const result = gatewayAuthMethodSchema.safeParse(
diff --git a/packages/gateway/src/gateway-embedding-model.test.ts b/packages/gateway/src/gateway-embedding-model.test.ts
new file mode 100644
index 000000000000..556d98f0401b
--- /dev/null
+++ b/packages/gateway/src/gateway-embedding-model.test.ts
@@ -0,0 +1,170 @@
+import { describe, it, expect } from 'vitest';
+import { createTestServer } from '@ai-sdk/provider-utils/test';
+import { GatewayEmbeddingModel } from './gateway-embedding-model';
+import type { GatewayConfig } from './gateway-config';
+import {
+  GatewayInvalidRequestError,
+  GatewayInternalServerError,
+} from './errors';
+
+const dummyEmbeddings = [
+  [0.1, 0.2, 0.3],
+  [0.4, 0.5, 0.6],
+];
+const testValues = ['sunny day at the beach', 'rainy afternoon in the city'];
+
+const server = createTestServer({
+  'https://api.test.com/embedding-model': {},
+});
+
+const createTestModel = (
+  config: Partial<
+    GatewayConfig & { o11yHeaders?: Record<string, string> }
+  > = {},
+) =>
+  new GatewayEmbeddingModel('openai/text-embedding-3-small', {
+    provider: 'gateway',
+    baseURL: 'https://api.test.com',
+    headers: () => ({
+      Authorization: 'Bearer test-token',
+      'ai-gateway-auth-method': 'api-key',
+    }),
+    fetch: globalThis.fetch,
+    o11yHeaders: config.o11yHeaders || {},
+    ...config,
+  });
+
+describe('GatewayEmbeddingModel', () => {
+  function prepareJsonResponse({
+    embeddings = dummyEmbeddings,
+    usage = { tokens: 8 },
+    headers,
+  }: {
+    embeddings?: number[][];
+    usage?: { tokens: number };
+    headers?: Record<string, string>;
+  } = {}) {
+    server.urls['https://api.test.com/embedding-model'].response = {
+      type: 'json-value',
+      headers,
+      body: {
+        embeddings,
+        usage,
+      },
+    };
+  }
+
+  describe('doEmbed', () => {
+    it('should pass headers correctly', async () => {
+      prepareJsonResponse();
+
+      await createTestModel().doEmbed({
+        values: testValues,
+        headers: { 'Custom-Header': 'test-value' },
+      });
+
+      const headers = server.calls[0].requestHeaders;
+      expect(headers).toMatchObject({
+        authorization: 'Bearer test-token',
+        'custom-header': 'test-value',
+        'ai-embedding-model-specification-version': '2',
+        'ai-model-id': 'openai/text-embedding-3-small',
+      });
+    });
+
+    it('should include o11y headers', async () => {
+      prepareJsonResponse();
+
+      const o11yHeaders = {
+        'ai-o11y-deployment-id': 'deployment-1',
+        'ai-o11y-environment': 'production',
+        'ai-o11y-region': 'iad1',
+      } as const;
+
+      await createTestModel({ o11yHeaders }).doEmbed({ values: testValues });
+
+      const headers = server.calls[0].requestHeaders;
+      expect(headers).toMatchObject(o11yHeaders);
+    });
+
+    it('should extract embeddings and usage', async () => {
+      prepareJsonResponse({
+        embeddings: dummyEmbeddings,
+        usage: { tokens: 42 },
+      });
+
+      const { embeddings, usage } = await createTestModel().doEmbed({
+        values: testValues,
+      });
+
+      expect(embeddings).toStrictEqual(dummyEmbeddings);
+      expect(usage).toStrictEqual({ tokens: 42 });
+    });
+
+    it('should send single value as string, multiple values as array', async () => {
+      prepareJsonResponse();
+
+      await createTestModel().doEmbed({ values: testValues });
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        input: testValues,
+      });
+
+      await createTestModel().doEmbed({ values: [testValues[0]] });
+      expect(await server.calls[1].requestBodyJson).toStrictEqual({
+        input: testValues[0],
+      });
+    });
+
+    it('should pass providerOptions into request body', async () => {
+      prepareJsonResponse();
+
+      await createTestModel().doEmbed({
+        values: testValues,
+        providerOptions: { openai: { dimensions: 64 } },
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        input: testValues,
+        openai: { dimensions: 64 },
+      });
+    });
+
+    it('should convert gateway error responses', async () => {
+      server.urls['https://api.test.com/embedding-model'].response = {
+        type: 'error',
+        status: 400,
+        body: JSON.stringify({
+          error: {
+            message: 'Invalid input',
+            type: 'invalid_request_error',
+          },
+        }),
+      };
+
+      await expect(
+        createTestModel().doEmbed({ values: testValues }),
+      ).rejects.toSatisfy(
+        err =>
+          GatewayInvalidRequestError.isInstance(err) && err.statusCode === 400,
+      );
+
+      server.urls['https://api.test.com/embedding-model'].response = {
+        type: 'error',
+        status: 500,
+        body: JSON.stringify({
+          error: {
+            message: 'Server blew up',
+            type: 'internal_server_error',
+          },
+        }),
+      };
+
+      await expect(
+        createTestModel().doEmbed({ values: testValues }),
+      ).rejects.toSatisfy(
+        err =>
+          GatewayInternalServerError.isInstance(err) && err.statusCode === 500,
+      );
+    });
+  });
+});
diff --git a/packages/gateway/src/gateway-embedding-model.ts b/packages/gateway/src/gateway-embedding-model.ts
new file mode 100644
index 000000000000..7db4a1224d57
--- /dev/null
+++ b/packages/gateway/src/gateway-embedding-model.ts
@@ -0,0 +1,94 @@
+import type { EmbeddingModelV2 } from '@ai-sdk/provider';
+import {
+  combineHeaders,
+  createJsonResponseHandler,
+  createJsonErrorResponseHandler,
+  postJsonToApi,
+  resolve,
+  type Resolvable,
+} from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+import type { GatewayConfig } from './gateway-config';
+import { asGatewayError } from './errors';
+import { parseAuthMethod } from './errors/parse-auth-method';
+
+export class GatewayEmbeddingModel implements EmbeddingModelV2<string> {
+  readonly specificationVersion = 'v2';
+  readonly maxEmbeddingsPerCall = 2048;
+  readonly supportsParallelCalls = true;
+
+  constructor(
+    readonly modelId: string,
+    private readonly config: GatewayConfig & {
+      provider: string;
+      o11yHeaders: Resolvable<Record<string, string>>;
+    },
+  ) {}
+
+  get provider(): string {
+    return this.config.provider;
+  }
+
+  async doEmbed({
+    values,
+    headers,
+    abortSignal,
+    providerOptions,
+  }: Parameters<EmbeddingModelV2<string>['doEmbed']>[0]): Promise<
+    Awaited<ReturnType<EmbeddingModelV2<string>['doEmbed']>>
+  > {
+    const resolvedHeaders = await resolve(this.config.headers());
+    try {
+      const {
+        responseHeaders,
+        value: responseBody,
+        rawValue,
+      } = await postJsonToApi({
+        url: this.getUrl(),
+        headers: combineHeaders(
+          resolvedHeaders,
+          headers ?? {},
+          this.getModelConfigHeaders(),
+          await resolve(this.config.o11yHeaders),
+        ),
+        body: {
+          input: values.length === 1 ? values[0] : values,
+          ...(providerOptions ?? {}),
+        },
+        successfulResponseHandler: createJsonResponseHandler(
+          gatewayEmbeddingResponseSchema,
+        ),
+        failedResponseHandler: createJsonErrorResponseHandler({
+          errorSchema: z.any(),
+          errorToMessage: data => data,
+        }),
+        ...(abortSignal && { abortSignal }),
+        fetch: this.config.fetch,
+      });
+
+      return {
+        embeddings: responseBody.embeddings,
+        usage: responseBody.usage ?? undefined,
+        response: { headers: responseHeaders, body: rawValue },
+      };
+    } catch (error) {
+      throw asGatewayError(error, parseAuthMethod(resolvedHeaders));
+    }
+  }
+
+  private getUrl() {
+    return `${this.config.baseURL}/embedding-model`;
+  }
+
+  private getModelConfigHeaders() {
+    return {
+      'ai-embedding-model-specification-version': '2',
+      'ai-model-id': this.modelId,
+    };
+  }
+}
+
+const gatewayEmbeddingResponseSchema = z.object({
+  embeddings: z.array(z.array(z.number())),
+  usage: z.object({ tokens: z.number() }).nullish(),
+});
diff --git a/packages/gateway/src/gateway-embedding-options.ts b/packages/gateway/src/gateway-embedding-options.ts
new file mode 100644
index 000000000000..46815f747cea
--- /dev/null
+++ b/packages/gateway/src/gateway-embedding-options.ts
@@ -0,0 +1,5 @@
+export type GatewayEmbeddingModelId =
+  | 'openai/text-embedding-3-small'
+  | 'openai/text-embedding-3-large'
+  | 'openai/text-embedding-ada-002'
+  | (string & {});
diff --git a/packages/gateway/src/gateway-fetch-metadata.test.ts b/packages/gateway/src/gateway-fetch-metadata.test.ts
index 750bc27a84fe..7a0662d2ecef 100644
--- a/packages/gateway/src/gateway-fetch-metadata.test.ts
+++ b/packages/gateway/src/gateway-fetch-metadata.test.ts
@@ -28,13 +28,28 @@ describe('GatewayFetchMetadata', () => {
   const mockModelEntry = {
     id: 'model-1',
     name: 'Model One',
+    description: 'A test model',
+    pricing: {
+      input: '0.000001',
+      output: '0.000002',
+    },
     specification: {
-      specificationVersion: 'v2',
+      specificationVersion: 'v2' as const,
       provider: 'test-provider',
       modelId: 'model-1',
     },
   };
 
+  const mockModelEntryWithoutPricing = {
+    id: 'model-2',
+    name: 'Model Two',
+    specification: {
+      specificationVersion: 'v2' as const,
+      provider: 'test-provider',
+      modelId: 'model-2',
+    },
+  };
+
   const server = createTestServer({
     'https://api.example.com/*': {
       response: {
@@ -59,6 +74,77 @@ describe('GatewayFetchMetadata', () => {
       });
     });
 
+    it('should handle models with pricing information', async () => {
+      server.urls['https://api.example.com/*'].response = {
+        type: 'json-value',
+        body: {
+          models: [mockModelEntry],
+        },
+      };
+
+      const metadata = createBasicMetadataFetcher();
+      const result = await metadata.getAvailableModels();
+
+      expect(result.models[0]).toEqual(mockModelEntry);
+      expect(result.models[0].pricing).toEqual({
+        input: '0.000001',
+        output: '0.000002',
+      });
+    });
+
+    it('should handle models without pricing information', async () => {
+      server.urls['https://api.example.com/*'].response = {
+        type: 'json-value',
+        body: {
+          models: [mockModelEntryWithoutPricing],
+        },
+      };
+
+      const metadata = createBasicMetadataFetcher();
+      const result = await metadata.getAvailableModels();
+
+      expect(result.models[0]).toEqual(mockModelEntryWithoutPricing);
+      expect(result.models[0].pricing).toBeUndefined();
+    });
+
+    it('should handle mixed models with and without pricing', async () => {
+      server.urls['https://api.example.com/*'].response = {
+        type: 'json-value',
+        body: {
+          models: [mockModelEntry, mockModelEntryWithoutPricing],
+        },
+      };
+
+      const metadata = createBasicMetadataFetcher();
+      const result = await metadata.getAvailableModels();
+
+      expect(result.models).toHaveLength(2);
+      expect(result.models[0].pricing).toEqual({
+        input: '0.000001',
+        output: '0.000002',
+      });
+      expect(result.models[1].pricing).toBeUndefined();
+    });
+
+    it('should handle models with description', async () => {
+      const modelWithDescription = {
+        ...mockModelEntry,
+        description: 'A powerful language model',
+      };
+
+      server.urls['https://api.example.com/*'].response = {
+        type: 'json-value',
+        body: {
+          models: [modelWithDescription],
+        },
+      };
+
+      const metadata = createBasicMetadataFetcher();
+      const result = await metadata.getAvailableModels();
+
+      expect(result.models[0].description).toBe('A powerful language model');
+    });
+
     it('should pass headers correctly', async () => {
       const metadata = createBasicMetadataFetcher({
         headers: () => ({
@@ -159,6 +245,34 @@ describe('GatewayFetchMetadata', () => {
 
       await expect(metadata.getAvailableModels()).rejects.toThrow();
     });
+
+    it('should reject models with invalid pricing format', async () => {
+      server.urls['https://api.example.com/*'].response = {
+        type: 'json-value',
+        body: {
+          models: [
+            {
+              id: 'model-1',
+              name: 'Model One',
+              pricing: {
+                input: 123, // Should be string, not number
+                output: '0.000002',
+              },
+              specification: {
+                specificationVersion: 'v2',
+                provider: 'test-provider',
+                modelId: 'model-1',
+              },
+            },
+          ],
+        },
+      };
+
+      const metadata = createBasicMetadataFetcher();
+
+      await expect(metadata.getAvailableModels()).rejects.toThrow();
+    });
+
     it('should not double-wrap existing Gateway errors', async () => {
       // Create a Gateway error and verify it doesn't get wrapped
       const existingError = new GatewayAuthenticationError({
@@ -260,8 +374,13 @@ describe('GatewayFetchMetadata', () => {
       const customModelEntry = {
         id: 'custom-model-1',
         name: 'Custom Model One',
+        description: 'Custom model description',
+        pricing: {
+          input: '0.000005',
+          output: '0.000010',
+        },
         specification: {
-          specificationVersion: 'v2',
+          specificationVersion: 'v2' as const,
           provider: 'custom-provider',
           modelId: 'custom-model-1',
         },
diff --git a/packages/gateway/src/gateway-fetch-metadata.ts b/packages/gateway/src/gateway-fetch-metadata.ts
index 8da21244edf2..4be56fee9f4d 100644
--- a/packages/gateway/src/gateway-fetch-metadata.ts
+++ b/packages/gateway/src/gateway-fetch-metadata.ts
@@ -46,9 +46,16 @@ const gatewayLanguageModelSpecificationSchema = z.object({
   modelId: z.string(),
 });
 
+const gatewayLanguageModelPricingSchema = z.object({
+  input: z.string(),
+  output: z.string(),
+});
+
 const gatewayLanguageModelEntrySchema = z.object({
   id: z.string(),
   name: z.string(),
+  description: z.string().nullish(),
+  pricing: gatewayLanguageModelPricingSchema.nullish(),
   specification: gatewayLanguageModelSpecificationSchema,
 });
 
diff --git a/packages/gateway/src/gateway-language-model-settings.ts b/packages/gateway/src/gateway-language-model-settings.ts
index 1cf1192a192a..83b6a2cc78a1 100644
--- a/packages/gateway/src/gateway-language-model-settings.ts
+++ b/packages/gateway/src/gateway-language-model-settings.ts
@@ -3,7 +3,7 @@ export type GatewayModelId =
   | 'alibaba/qwen-3-235b'
   | 'alibaba/qwen-3-30b'
   | 'alibaba/qwen-3-32b'
-  | 'alibaba/qwq-32b'
+  | 'alibaba/qwen3-coder'
   | 'amazon/nova-lite'
   | 'amazon/nova-micro'
   | 'amazon/nova-pro'
@@ -38,6 +38,7 @@ export type GatewayModelId =
   | 'meta/llama-4-maverick'
   | 'meta/llama-4-scout'
   | 'mistral/codestral'
+  | 'mistral/devstral-small'
   | 'mistral/magistral-medium'
   | 'mistral/magistral-small'
   | 'mistral/ministral-3b'
@@ -48,7 +49,9 @@ export type GatewayModelId =
   | 'mistral/mixtral-8x22b-instruct'
   | 'mistral/pixtral-12b'
   | 'mistral/pixtral-large'
-  | 'morph/morph-v2'
+  | 'moonshotai/kimi-k2'
+  | 'morph/morph-v3-fast'
+  | 'morph/morph-v3-large'
   | 'openai/gpt-3.5-turbo'
   | 'openai/gpt-3.5-turbo-instruct'
   | 'openai/gpt-4-turbo'
@@ -65,10 +68,13 @@ export type GatewayModelId =
   | 'perplexity/sonar-pro'
   | 'perplexity/sonar-reasoning'
   | 'perplexity/sonar-reasoning-pro'
+  | 'vercel/v0-1.0-md'
+  | 'vercel/v0-1.5-md'
   | 'xai/grok-2'
   | 'xai/grok-2-vision'
   | 'xai/grok-3'
   | 'xai/grok-3-fast'
   | 'xai/grok-3-mini'
   | 'xai/grok-3-mini-fast'
+  | 'xai/grok-4'
   | (string & {});
diff --git a/packages/gateway/src/gateway-language-model.test.ts b/packages/gateway/src/gateway-language-model.test.ts
index b691814df4be..5d5886328b0a 100644
--- a/packages/gateway/src/gateway-language-model.test.ts
+++ b/packages/gateway/src/gateway-language-model.test.ts
@@ -31,7 +31,7 @@ const createTestModel = (
     baseURL: 'https://api.test.com',
     headers: () => ({
       Authorization: 'Bearer test-token',
-      'x-ai-gateway-auth-method': 'api-key',
+      'ai-gateway-auth-method': 'api-key',
     }),
     fetch: globalThis.fetch,
     o11yHeaders: config.o11yHeaders || {},
@@ -1312,4 +1312,158 @@ describe('GatewayLanguageModel', () => {
       });
     });
   });
+
+  describe('Provider Options', () => {
+    function prepareJsonResponse({
+      content = { type: 'text', text: '' },
+      usage = {
+        prompt_tokens: 4,
+        completion_tokens: 30,
+      },
+      finish_reason = 'stop',
+      id = 'test-id',
+      created = 1711115037,
+      model = 'test-model',
+    } = {}) {
+      server.urls['https://api.test.com/language-model'].response = {
+        type: 'json-value',
+        body: {
+          id,
+          created,
+          model,
+          content,
+          finish_reason,
+          usage,
+        },
+      };
+    }
+
+    function prepareStreamResponse({
+      content,
+      finish_reason = 'stop',
+    }: {
+      content: string[];
+      finish_reason?: string;
+    }) {
+      server.urls['https://api.test.com/language-model'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          ...content.map(
+            text =>
+              `data: ${JSON.stringify({
+                type: 'text-delta',
+                textDelta: text,
+              })}\n\n`,
+          ),
+          `data: ${JSON.stringify({
+            type: 'finish',
+            finishReason: finish_reason,
+            usage: {
+              prompt_tokens: 10,
+              completion_tokens: 20,
+            },
+          })}\n\n`,
+        ],
+      };
+    }
+
+    it('should pass provider routing order for doGenerate', async () => {
+      prepareJsonResponse({
+        content: { type: 'text', text: 'Test response' },
+      });
+
+      await createTestModel().doGenerate({
+        prompt: TEST_PROMPT,
+        providerOptions: {
+          gateway: {
+            order: ['bedrock', 'anthropic'],
+          },
+        },
+      });
+
+      const requestBody = await server.calls[0].requestBodyJson;
+      expect(requestBody.providerOptions).toEqual({
+        gateway: { order: ['bedrock', 'anthropic'] },
+      });
+    });
+
+    it('should pass single provider in order array', async () => {
+      prepareJsonResponse({
+        content: { type: 'text', text: 'Test response' },
+      });
+
+      await createTestModel().doGenerate({
+        prompt: TEST_PROMPT,
+        providerOptions: {
+          gateway: {
+            order: ['openai'],
+          },
+        },
+      });
+
+      const requestBody = await server.calls[0].requestBodyJson;
+      expect(requestBody.providerOptions).toEqual({
+        gateway: { order: ['openai'] },
+      });
+    });
+
+    it('should work without provider options', async () => {
+      prepareJsonResponse({
+        content: { type: 'text', text: 'Test response' },
+      });
+
+      const result = await createTestModel().doGenerate({
+        prompt: TEST_PROMPT,
+      });
+
+      const requestBody = await server.calls[0].requestBodyJson;
+      expect(requestBody.providerOptions).toBeUndefined();
+      expect(result.content).toEqual({
+        type: 'text',
+        text: 'Test response',
+      });
+    });
+
+    it('should pass provider routing order for doStream', async () => {
+      prepareStreamResponse({
+        content: ['Hello', ' world'],
+      });
+
+      const { stream } = await createTestModel().doStream({
+        prompt: TEST_PROMPT,
+        providerOptions: {
+          gateway: {
+            order: ['groq', 'openai'],
+          },
+        },
+      });
+
+      await convertReadableStreamToArray(stream);
+
+      const requestBody = await server.calls[0].requestBodyJson;
+      expect(requestBody.providerOptions).toEqual({
+        gateway: { order: ['groq', 'openai'] },
+      });
+    });
+
+    it('should validate provider options against schema', async () => {
+      prepareJsonResponse({
+        content: { type: 'text', text: 'Test response' },
+      });
+
+      await createTestModel().doGenerate({
+        prompt: TEST_PROMPT,
+        providerOptions: {
+          gateway: {
+            order: ['anthropic', 'bedrock', 'openai'],
+          },
+        },
+      });
+
+      const requestBody = await server.calls[0].requestBodyJson;
+      expect(requestBody.providerOptions).toEqual({
+        gateway: { order: ['anthropic', 'bedrock', 'openai'] },
+      });
+    });
+  });
 });
diff --git a/packages/gateway/src/gateway-language-model.ts b/packages/gateway/src/gateway-language-model.ts
index f49e5da92cac..b2bacde341b4 100644
--- a/packages/gateway/src/gateway-language-model.ts
+++ b/packages/gateway/src/gateway-language-model.ts
@@ -1,6 +1,7 @@
 import type {
   LanguageModelV2,
   LanguageModelV2CallOptions,
+  LanguageModelV2CallWarning,
   LanguageModelV2FilePart,
   LanguageModelV2StreamPart,
 } from '@ai-sdk/provider';
@@ -38,11 +39,23 @@ export class GatewayLanguageModel implements LanguageModelV2 {
     return this.config.provider;
   }
 
+  private async getArgs(options: Parameters<LanguageModelV2['doGenerate']>[0]) {
+    const { abortSignal: _abortSignal, ...optionsWithoutSignal } = options;
+
+    return {
+      args: this.maybeEncodeFileParts(optionsWithoutSignal),
+      warnings: [],
+    };
+  }
+
   async doGenerate(
     options: Parameters<LanguageModelV2['doGenerate']>[0],
   ): Promise<Awaited<ReturnType<LanguageModelV2['doGenerate']>>> {
-    const { abortSignal, ...body } = options;
+    const { args, warnings } = await this.getArgs(options);
+    const { abortSignal } = options;
+
     const resolvedHeaders = await resolve(this.config.headers());
+
     try {
       const {
         responseHeaders,
@@ -56,7 +69,7 @@ export class GatewayLanguageModel implements LanguageModelV2 {
           this.getModelConfigHeaders(this.modelId, false),
           await resolve(this.config.o11yHeaders),
         ),
-        body: this.maybeEncodeFileParts(body),
+        body: args,
         successfulResponseHandler: createJsonResponseHandler(z.any()),
         failedResponseHandler: createJsonErrorResponseHandler({
           errorSchema: z.any(),
@@ -68,9 +81,9 @@ export class GatewayLanguageModel implements LanguageModelV2 {
 
       return {
         ...responseBody,
-        request: { body },
+        request: { body: args },
         response: { headers: responseHeaders, body: rawResponse },
-        warnings: [],
+        warnings,
       };
     } catch (error) {
       throw asGatewayError(error, parseAuthMethod(resolvedHeaders));
@@ -80,8 +93,11 @@ export class GatewayLanguageModel implements LanguageModelV2 {
   async doStream(
     options: Parameters<LanguageModelV2['doStream']>[0],
   ): Promise<Awaited<ReturnType<LanguageModelV2['doStream']>>> {
-    const { abortSignal, ...body } = options;
+    const { args, warnings } = await this.getArgs(options);
+    const { abortSignal } = options;
+
     const resolvedHeaders = await resolve(this.config.headers());
+
     try {
       const { value: response, responseHeaders } = await postJsonToApi({
         url: this.getUrl(),
@@ -91,7 +107,7 @@ export class GatewayLanguageModel implements LanguageModelV2 {
           this.getModelConfigHeaders(this.modelId, true),
           await resolve(this.config.o11yHeaders),
         ),
-        body: this.maybeEncodeFileParts(body),
+        body: args,
         successfulResponseHandler: createEventSourceResponseHandler(z.any()),
         failedResponseHandler: createJsonErrorResponseHandler({
           errorSchema: z.any(),
@@ -107,6 +123,11 @@ export class GatewayLanguageModel implements LanguageModelV2 {
             ParseResult<LanguageModelV2StreamPart>,
             LanguageModelV2StreamPart
           >({
+            start(controller) {
+              if (warnings.length > 0) {
+                controller.enqueue({ type: 'stream-start', warnings });
+              }
+            },
             transform(chunk, controller) {
               if (chunk.success) {
                 const streamPart = chunk.value;
@@ -134,7 +155,7 @@ export class GatewayLanguageModel implements LanguageModelV2 {
             },
           }),
         ),
-        request: { body },
+        request: { body: args },
         response: { headers: responseHeaders },
       };
     } catch (error) {
@@ -149,18 +170,18 @@ export class GatewayLanguageModel implements LanguageModelV2 {
   }
 
   /**
-   * Encodes image parts in the prompt to base64. Mutates the passed options
-   * instance directly to avoid copying the image data.
+   * Encodes file parts in the prompt to base64. Mutates the passed options
+   * instance directly to avoid copying the file data.
    * @param options - The options to encode.
-   * @returns The options with the image parts encoded.
+   * @returns The options with the file parts encoded.
    */
   private maybeEncodeFileParts(options: LanguageModelV2CallOptions) {
     for (const message of options.prompt) {
       for (const part of message.content) {
         if (this.isFilePart(part)) {
           const filePart = part as LanguageModelV2FilePart;
-          // If the image part is a URL it will get cleanly converted to a string.
-          // If it's a binary image attachment we convert it to a data url.
+          // If the file part is a URL it will get cleanly converted to a string.
+          // If it's a binary file attachment we convert it to a data url.
           // In either case, server-side we should only ever see URLs as strings.
           if (filePart.data instanceof Uint8Array) {
             const buffer = Uint8Array.from(filePart.data);
diff --git a/packages/gateway/src/gateway-model-entry.ts b/packages/gateway/src/gateway-model-entry.ts
index 6bc490a9b5b3..01d1de8ab3fc 100644
--- a/packages/gateway/src/gateway-model-entry.ts
+++ b/packages/gateway/src/gateway-model-entry.ts
@@ -12,6 +12,25 @@ export interface GatewayLanguageModelEntry {
    */
   name: string;
 
+  /**
+   * Optional description of the model.
+   */
+  description?: string | null;
+
+  /**
+   * Optional pricing information for the model.
+   */
+  pricing?: {
+    /**
+     * Cost per input token in USD.
+     */
+    input: string;
+    /**
+     * Cost per output token in USD.
+     */
+    output: string;
+  } | null;
+
   /**
    * Additional AI SDK language model specifications for the model.
    */
diff --git a/packages/gateway/src/gateway-provider-options.ts b/packages/gateway/src/gateway-provider-options.ts
new file mode 100644
index 000000000000..d43699a5e1cb
--- /dev/null
+++ b/packages/gateway/src/gateway-provider-options.ts
@@ -0,0 +1,13 @@
+import { z } from 'zod/v4';
+
+// https://vercel.com/docs/ai-gateway/provider-options
+export const gatewayProviderOptions = z.object({
+  /**
+   * Array of provider slugs that specifies the sequence in which providers should be attempted.
+   *
+   * Example: `['bedrock', 'anthropic']` will try Amazon Bedrock first, then Anthropic as fallback.
+   */
+  order: z.array(z.string()).optional(),
+});
+
+export type GatewayProviderOptions = z.infer<typeof gatewayProviderOptions>;
diff --git a/packages/gateway/src/gateway-provider.test.ts b/packages/gateway/src/gateway-provider.test.ts
index 1671a7fe7593..5faa4b6c0c64 100644
--- a/packages/gateway/src/gateway-provider.test.ts
+++ b/packages/gateway/src/gateway-provider.test.ts
@@ -6,6 +6,7 @@ import {
 } from './gateway-provider';
 import { GatewayFetchMetadata } from './gateway-fetch-metadata';
 import { NoSuchModelError } from '@ai-sdk/provider';
+import { GatewayEmbeddingModel } from './gateway-embedding-model';
 import { getVercelOidcToken, getVercelRequestId } from './vercel-environment';
 import { resolve } from '@ai-sdk/provider-utils';
 import { GatewayLanguageModel } from './gateway-language-model';
@@ -81,7 +82,7 @@ describe('GatewayProvider', () => {
         Authorization: 'Bearer test-api-key',
         'Custom-Header': 'value',
         'ai-gateway-protocol-version': expect.any(String),
-        'x-ai-gateway-auth-method': 'api-key',
+        'ai-gateway-auth-method': 'api-key',
       });
     });
 
@@ -102,7 +103,7 @@ describe('GatewayProvider', () => {
         Authorization: 'Bearer mock-oidc-token',
         'Custom-Header': 'value',
         'ai-gateway-protocol-version': expect.any(String),
-        'x-ai-gateway-auth-method': 'oidc',
+        'ai-gateway-auth-method': 'oidc',
       });
     });
 
@@ -121,14 +122,15 @@ describe('GatewayProvider', () => {
       );
     });
 
-    it('should throw NoSuchModelError for textEmbeddingModel', () => {
+    it('should create GatewayEmbeddingModel for textEmbeddingModel', () => {
       const provider = createGatewayProvider({
         baseURL: 'https://api.example.com',
       });
 
-      expect(() => {
-        provider.textEmbeddingModel('test-model');
-      }).toThrow(NoSuchModelError);
+      const model = provider.textEmbeddingModel(
+        'openai/text-embedding-3-small',
+      );
+      expect(model).toBeInstanceOf(GatewayEmbeddingModel);
     });
 
     it('should fetch available models', async () => {
@@ -257,7 +259,7 @@ describe('GatewayProvider', () => {
     it('should not include undefined o11y headers', async () => {
       const originalEnv = process.env;
       process.env = { ...originalEnv };
-      process.env.DEPLOYMENT_ID = undefined;
+      process.env.VERCEL_DEPLOYMENT_ID = undefined;
       process.env.VERCEL_ENV = undefined;
       process.env.VERCEL_REGION = undefined;
 
@@ -378,7 +380,7 @@ describe('GatewayProvider', () => {
 
       // Verify that the API key was used in the Authorization header
       expect(headers.Authorization).toBe(`Bearer ${testApiKey}`);
-      expect(headers['x-ai-gateway-auth-method']).toBe('api-key');
+      expect(headers['ai-gateway-auth-method']).toBe('api-key');
 
       // Verify getVercelOidcToken was never called
       expect(getVercelOidcToken).not.toHaveBeenCalled();
diff --git a/packages/gateway/src/gateway-provider.ts b/packages/gateway/src/gateway-provider.ts
index 2d139afdb2c7..d14738e5cbe4 100644
--- a/packages/gateway/src/gateway-provider.ts
+++ b/packages/gateway/src/gateway-provider.ts
@@ -1,24 +1,28 @@
-import type { LanguageModelV2, ProviderV2 } from '@ai-sdk/provider';
 import { NoSuchModelError } from '@ai-sdk/provider';
 import {
   loadOptionalSetting,
   withoutTrailingSlash,
+  type FetchFunction,
 } from '@ai-sdk/provider-utils';
-import { type FetchFunction } from '@ai-sdk/provider-utils';
-import { asGatewayError } from './errors';
+import { asGatewayError, GatewayAuthenticationError } from './errors';
+import {
+  GATEWAY_AUTH_METHOD_HEADER,
+  parseAuthMethod,
+} from './errors/parse-auth-method';
 import {
   GatewayFetchMetadata,
   type GatewayFetchMetadataResponse,
 } from './gateway-fetch-metadata';
 import { GatewayLanguageModel } from './gateway-language-model';
-import type { GatewayModelId } from './gateway-language-model-settings';
+import { GatewayEmbeddingModel } from './gateway-embedding-model';
+import type { GatewayEmbeddingModelId } from './gateway-embedding-options';
 import { getVercelOidcToken, getVercelRequestId } from './vercel-environment';
-import { GatewayAuthenticationError } from './errors';
-import { z } from 'zod';
-import {
-  GATEWAY_AUTH_METHOD_HEADER,
-  parseAuthMethod,
-} from './errors/parse-auth-method';
+import type { GatewayModelId } from './gateway-language-model-settings';
+import type {
+  LanguageModelV2,
+  EmbeddingModelV2,
+  ProviderV2,
+} from '@ai-sdk/provider';
 
 export interface GatewayProvider extends ProviderV2 {
   (modelId: GatewayModelId): LanguageModelV2;
@@ -32,6 +36,13 @@ Creates a model for text generation.
 Returns available providers and models for use with the remote provider.
  */
   getAvailableModels(): Promise<GatewayFetchMetadataResponse>;
+
+  /**
+Creates a model for generating text embeddings.
+*/
+  textEmbeddingModel(
+    modelId: GatewayEmbeddingModelId,
+  ): EmbeddingModelV2<string>;
 }
 
 export interface GatewayProviderSettings {
@@ -105,7 +116,7 @@ export function createGatewayProvider(
     });
   };
 
-  const createLanguageModel = (modelId: GatewayModelId) => {
+  const createO11yHeaders = () => {
     const deploymentId = loadOptionalSetting({
       settingValue: undefined,
       environmentVariableName: 'VERCEL_DEPLOYMENT_ID',
@@ -119,20 +130,24 @@ export function createGatewayProvider(
       environmentVariableName: 'VERCEL_REGION',
     });
 
+    return async () => {
+      const requestId = await getVercelRequestId();
+      return {
+        ...(deploymentId && { 'ai-o11y-deployment-id': deploymentId }),
+        ...(environment && { 'ai-o11y-environment': environment }),
+        ...(region && { 'ai-o11y-region': region }),
+        ...(requestId && { 'ai-o11y-request-id': requestId }),
+      };
+    };
+  };
+
+  const createLanguageModel = (modelId: GatewayModelId) => {
     return new GatewayLanguageModel(modelId, {
       provider: 'gateway',
       baseURL,
       headers: getHeaders,
       fetch: options.fetch,
-      o11yHeaders: async () => {
-        const requestId = await getVercelRequestId();
-        return {
-          ...(deploymentId && { 'ai-o11y-deployment-id': deploymentId }),
-          ...(environment && { 'ai-o11y-environment': environment }),
-          ...(region && { 'ai-o11y-region': region }),
-          ...(requestId && { 'ai-o11y-request-id': requestId }),
-        };
-      },
+      o11yHeaders: createO11yHeaders(),
     });
   };
 
@@ -174,8 +189,14 @@ export function createGatewayProvider(
     throw new NoSuchModelError({ modelId, modelType: 'imageModel' });
   };
   provider.languageModel = createLanguageModel;
-  provider.textEmbeddingModel = (modelId: string) => {
-    throw new NoSuchModelError({ modelId, modelType: 'textEmbeddingModel' });
+  provider.textEmbeddingModel = (modelId: GatewayEmbeddingModelId) => {
+    return new GatewayEmbeddingModel(modelId, {
+      provider: 'gateway',
+      baseURL,
+      headers: getHeaders,
+      fetch: options.fetch,
+      o11yHeaders: createO11yHeaders(),
+    });
   };
 
   return provider;
@@ -207,7 +228,7 @@ export async function getGatewayAuthToken(
       token: oidcToken,
       authMethod: 'oidc',
     };
-  } catch (error) {
+  } catch {
     return null;
   }
 }
diff --git a/packages/gateway/src/index.ts b/packages/gateway/src/index.ts
index 122764f800e0..a87fe4bdcc3a 100644
--- a/packages/gateway/src/index.ts
+++ b/packages/gateway/src/index.ts
@@ -12,6 +12,7 @@ export type {
   GatewayProvider,
   GatewayProviderSettings,
 } from './gateway-provider';
+export type { GatewayProviderOptions } from './gateway-provider-options';
 export {
   GatewayError,
   GatewayAuthenticationError,
diff --git a/packages/gladia/CHANGELOG.md b/packages/gladia/CHANGELOG.md
index ebe0e15b07fc..b3d798677879 100644
--- a/packages/gladia/CHANGELOG.md
+++ b/packages/gladia/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/gladia
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/gladia/package.json b/packages/gladia/package.json
index c4c4007feb96..eb70c04a9daf 100644
--- a/packages/gladia/package.json
+++ b/packages/gladia/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/gladia",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/google-vertex/CHANGELOG.md b/packages/google-vertex/CHANGELOG.md
index 9788ed51897e..2820f3cfe47f 100644
--- a/packages/google-vertex/CHANGELOG.md
+++ b/packages/google-vertex/CHANGELOG.md
@@ -1,5 +1,100 @@
 # @ai-sdk/google-vertex
 
+## 3.0.0-beta.17
+
+### Patch Changes
+
+- Updated dependencies [4f26d59]
+- Updated dependencies [ac34802]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/anthropic@2.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - @ai-sdk/google@2.0.0-beta.15
+
+## 3.0.0-beta.16
+
+### Patch Changes
+
+- Updated dependencies [75f03b1]
+  - @ai-sdk/google@2.0.0-beta.14
+
+## 3.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/anthropic@2.0.0-beta.8
+  - @ai-sdk/google@2.0.0-beta.13
+
+## 3.0.0-beta.14
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+  - @ai-sdk/anthropic@2.0.0-beta.7
+  - @ai-sdk/google@2.0.0-beta.12
+
+## 3.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [6a16dcf]
+  - @ai-sdk/google@2.0.0-beta.11
+
+## 3.0.0-beta.12
+
+### Minor Changes
+
+- 6ca44f2: Fixed global region for vertex provider
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+- Updated dependencies [7badba2]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/google@2.0.0-beta.10
+  - @ai-sdk/anthropic@2.0.0-beta.6
+
+## 3.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [8af9e03]
+  - @ai-sdk/google@2.0.0-beta.9
+
+## 3.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [b9ddcdd]
+  - @ai-sdk/anthropic@2.0.0-beta.5
+
+## 3.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [2e06f14]
+  - @ai-sdk/google@2.0.0-beta.8
+
+## 3.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [19a4336]
+  - @ai-sdk/google@2.0.0-beta.7
+
+## 3.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [fdff8a4]
+- Updated dependencies [84577c8]
+  - @ai-sdk/anthropic@2.0.0-beta.4
+
 ## 3.0.0-beta.6
 
 ### Patch Changes
diff --git a/packages/google-vertex/package.json b/packages/google-vertex/package.json
index 3927854c5e07..6f178bcc69e4 100644
--- a/packages/google-vertex/package.json
+++ b/packages/google-vertex/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/google-vertex",
-  "version": "3.0.0-beta.6",
+  "version": "3.0.0-beta.17",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -61,10 +61,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.test.ts b/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.test.ts
index f0feb55847dd..81ac1e72053c 100644
--- a/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.test.ts
+++ b/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.test.ts
@@ -140,4 +140,38 @@ describe('google-vertex-anthropic-provider', () => {
     // Verify that supportedUrls returns empty object to force base64 conversion
     expect(config.supportedUrls?.()).toEqual({});
   });
+
+  it('should use correct URL for global location', () => {
+    const provider = createVertexAnthropic({
+      project: 'test-project',
+      location: 'global',
+    });
+    provider('test-model-id');
+
+    expect(AnthropicMessagesLanguageModel).toHaveBeenCalledWith(
+      'test-model-id',
+      expect.objectContaining({
+        baseURL:
+          'https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/publishers/anthropic/models',
+        provider: 'vertex.anthropic.messages',
+      }),
+    );
+  });
+
+  it('should use region-prefixed URL for non-global locations', () => {
+    const provider = createVertexAnthropic({
+      project: 'test-project',
+      location: 'us-east5',
+    });
+    provider('test-model-id');
+
+    expect(AnthropicMessagesLanguageModel).toHaveBeenCalledWith(
+      'test-model-id',
+      expect.objectContaining({
+        baseURL:
+          'https://us-east5-aiplatform.googleapis.com/v1/projects/test-project/locations/us-east5/publishers/anthropic/models',
+        provider: 'vertex.anthropic.messages',
+      }),
+    );
+  });
 });
diff --git a/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.ts b/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.ts
index 801cb682c568..6ce30e818edb 100644
--- a/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.ts
+++ b/packages/google-vertex/src/anthropic/google-vertex-anthropic-provider.ts
@@ -74,9 +74,10 @@ export function createVertexAnthropic(
     settingValue: options.project,
     environmentVariableName: 'GOOGLE_VERTEX_PROJECT',
   });
+
   const baseURL =
     withoutTrailingSlash(options.baseURL) ??
-    `https://${location}-aiplatform.googleapis.com/v1/projects/${project}/locations/${location}/publishers/anthropic/models`;
+    `https://${location === 'global' ? '' : location + '-'}aiplatform.googleapis.com/v1/projects/${project}/locations/${location}/publishers/anthropic/models`;
 
   const createChatModel = (modelId: GoogleVertexAnthropicMessagesModelId) =>
     new AnthropicMessagesLanguageModel(modelId, {
diff --git a/packages/google-vertex/src/google-vertex-image-model.test.ts b/packages/google-vertex/src/google-vertex-image-model.test.ts
index d8d4e216082d..0c2dbf96514a 100644
--- a/packages/google-vertex/src/google-vertex-image-model.test.ts
+++ b/packages/google-vertex/src/google-vertex-image-model.test.ts
@@ -11,6 +11,12 @@ const model = new GoogleVertexImageModel('imagen-3.0-generate-002', {
 
 const server = createTestServer({
   'https://api.example.com/models/imagen-3.0-generate-002:predict': {},
+  'https://api.example.com/models/imagen-4.0-generate-preview-06-06:predict':
+    {},
+  'https://api.example.com/models/imagen-4.0-fast-generate-preview-06-06:predict':
+    {},
+  'https://api.example.com/models/imagen-4.0-ultra-generate-preview-06-06:predict':
+    {},
 });
 
 describe('GoogleVertexImageModel', () => {
@@ -338,4 +344,227 @@ describe('GoogleVertexImageModel', () => {
       });
     });
   });
+
+  describe('Imagen 4 Models', () => {
+    describe('imagen-4.0-generate-preview-06-06', () => {
+      const imagen4Model = new GoogleVertexImageModel(
+        'imagen-4.0-generate-preview-06-06',
+        {
+          provider: 'google-vertex',
+          baseURL: 'https://api.example.com',
+          headers: { 'api-key': 'test-key' },
+        },
+      );
+
+      function prepareImagen4Response() {
+        server.urls[
+          'https://api.example.com/models/imagen-4.0-generate-preview-06-06:predict'
+        ].response = {
+          type: 'json-value',
+          body: {
+            predictions: [
+              {
+                mimeType: 'image/png',
+                prompt: 'revised imagen 4 prompt',
+                bytesBase64Encoded: 'base64-imagen4-image',
+              },
+            ],
+          },
+        };
+      }
+
+      it('should generate images with Imagen 4', async () => {
+        prepareImagen4Response();
+
+        const result = await imagen4Model.doGenerate({
+          prompt: 'A beautiful sunset over mountains',
+          n: 1,
+          size: undefined,
+          aspectRatio: '16:9',
+          seed: 42,
+          providerOptions: {
+            vertex: {
+              addWatermark: false,
+            },
+          },
+        });
+
+        expect(result.images).toStrictEqual(['base64-imagen4-image']);
+        expect(result.providerMetadata?.vertex).toStrictEqual({
+          images: [
+            {
+              revisedPrompt: 'revised imagen 4 prompt',
+            },
+          ],
+        });
+      });
+
+      it('should send correct request parameters for Imagen 4', async () => {
+        prepareImagen4Response();
+
+        await imagen4Model.doGenerate({
+          prompt: 'test imagen 4 prompt',
+          n: 2,
+          size: undefined,
+          aspectRatio: '1:1',
+          seed: 123,
+          providerOptions: {
+            vertex: {
+              personGeneration: 'allow_adult',
+              safetySetting: 'block_medium_and_above',
+            },
+          },
+        });
+
+        expect(await server.calls[0].requestBodyJson).toStrictEqual({
+          instances: [{ prompt: 'test imagen 4 prompt' }],
+          parameters: {
+            sampleCount: 2,
+            aspectRatio: '1:1',
+            seed: 123,
+            personGeneration: 'allow_adult',
+            safetySetting: 'block_medium_and_above',
+          },
+        });
+      });
+    });
+
+    describe('imagen-4.0-fast-generate-preview-06-06', () => {
+      const imagen4FastModel = new GoogleVertexImageModel(
+        'imagen-4.0-fast-generate-preview-06-06',
+        {
+          provider: 'google-vertex',
+          baseURL: 'https://api.example.com',
+          headers: { 'api-key': 'test-key' },
+        },
+      );
+
+      function prepareImagen4FastResponse() {
+        server.urls[
+          'https://api.example.com/models/imagen-4.0-fast-generate-preview-06-06:predict'
+        ].response = {
+          type: 'json-value',
+          body: {
+            predictions: [
+              {
+                mimeType: 'image/png',
+                prompt: 'revised imagen 4 fast prompt',
+                bytesBase64Encoded: 'base64-imagen4-fast-image',
+              },
+            ],
+          },
+        };
+      }
+
+      it('should generate images with Imagen 4 Fast', async () => {
+        prepareImagen4FastResponse();
+
+        const result = await imagen4FastModel.doGenerate({
+          prompt: 'A quick sketch of a cat',
+          n: 1,
+          size: undefined,
+          aspectRatio: '3:4',
+          seed: undefined,
+          providerOptions: {},
+        });
+
+        expect(result.images).toStrictEqual(['base64-imagen4-fast-image']);
+        expect(result.providerMetadata?.vertex).toStrictEqual({
+          images: [
+            {
+              revisedPrompt: 'revised imagen 4 fast prompt',
+            },
+          ],
+        });
+      });
+    });
+
+    describe('imagen-4.0-ultra-generate-preview-06-06', () => {
+      const imagen4UltraModel = new GoogleVertexImageModel(
+        'imagen-4.0-ultra-generate-preview-06-06',
+        {
+          provider: 'google-vertex',
+          baseURL: 'https://api.example.com',
+          headers: { 'api-key': 'test-key' },
+        },
+      );
+
+      function prepareImagen4UltraResponse() {
+        server.urls[
+          'https://api.example.com/models/imagen-4.0-ultra-generate-preview-06-06:predict'
+        ].response = {
+          type: 'json-value',
+          body: {
+            predictions: [
+              {
+                mimeType: 'image/png',
+                prompt: 'revised imagen 4 ultra prompt',
+                bytesBase64Encoded: 'base64-imagen4-ultra-image',
+              },
+            ],
+          },
+        };
+      }
+
+      it('should generate images with Imagen 4 Ultra', async () => {
+        prepareImagen4UltraResponse();
+
+        const result = await imagen4UltraModel.doGenerate({
+          prompt: 'A highly detailed photorealistic portrait',
+          n: 1,
+          size: undefined,
+          aspectRatio: '4:3',
+          seed: 999,
+          providerOptions: {
+            vertex: {
+              negativePrompt: 'blurry, low quality',
+              addWatermark: true,
+            },
+          },
+        });
+
+        expect(result.images).toStrictEqual(['base64-imagen4-ultra-image']);
+        expect(result.providerMetadata?.vertex).toStrictEqual({
+          images: [
+            {
+              revisedPrompt: 'revised imagen 4 ultra prompt',
+            },
+          ],
+        });
+      });
+
+      it('should handle all provider options with Imagen 4 Ultra', async () => {
+        prepareImagen4UltraResponse();
+
+        await imagen4UltraModel.doGenerate({
+          prompt: 'comprehensive test prompt',
+          n: 1,
+          size: undefined,
+          aspectRatio: undefined,
+          seed: undefined,
+          providerOptions: {
+            vertex: {
+              negativePrompt: 'avoid this content',
+              personGeneration: 'dont_allow',
+              safetySetting: 'block_only_high',
+              addWatermark: true,
+              storageUri: 'gs://my-bucket/images/',
+            },
+          },
+        });
+
+        expect(await server.calls[0].requestBodyJson).toStrictEqual({
+          instances: [{ prompt: 'comprehensive test prompt' }],
+          parameters: {
+            sampleCount: 1,
+            negativePrompt: 'avoid this content',
+            personGeneration: 'dont_allow',
+            safetySetting: 'block_only_high',
+            addWatermark: true,
+            storageUri: 'gs://my-bucket/images/',
+          },
+        });
+      });
+    });
+  });
 });
diff --git a/packages/google-vertex/src/google-vertex-image-settings.ts b/packages/google-vertex/src/google-vertex-image-settings.ts
index d157e409a2fe..ff5f6bd7fd8f 100644
--- a/packages/google-vertex/src/google-vertex-image-settings.ts
+++ b/packages/google-vertex/src/google-vertex-image-settings.ts
@@ -2,4 +2,7 @@ export type GoogleVertexImageModelId =
   | 'imagen-3.0-generate-001'
   | 'imagen-3.0-generate-002'
   | 'imagen-3.0-fast-generate-001'
+  | 'imagen-4.0-generate-preview-06-06'
+  | 'imagen-4.0-fast-generate-preview-06-06'
+  | 'imagen-4.0-ultra-generate-preview-06-06'
   | (string & {});
diff --git a/packages/google-vertex/src/google-vertex-provider.test.ts b/packages/google-vertex/src/google-vertex-provider.test.ts
index 834f310cd5a4..f82ec3113d1e 100644
--- a/packages/google-vertex/src/google-vertex-provider.test.ts
+++ b/packages/google-vertex/src/google-vertex-provider.test.ts
@@ -154,4 +154,78 @@ describe('google-vertex-provider', () => {
       }),
     );
   });
+
+  it('should use correct URL for global region', () => {
+    const provider = createVertex({
+      project: 'test-project',
+      location: 'global',
+    });
+    provider('test-model-id');
+
+    expect(GoogleGenerativeAILanguageModel).toHaveBeenCalledWith(
+      'test-model-id',
+      expect.objectContaining({
+        provider: 'google.vertex.chat',
+        baseURL:
+          'https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/publishers/google',
+        headers: expect.any(Object),
+        generateId: expect.any(Function),
+      }),
+    );
+  });
+
+  it('should use correct URL for global region with embedding model', () => {
+    const provider = createVertex({
+      project: 'test-project',
+      location: 'global',
+    });
+    provider.textEmbeddingModel('test-embedding-model');
+
+    expect(GoogleVertexEmbeddingModel).toHaveBeenCalledWith(
+      'test-embedding-model',
+      expect.objectContaining({
+        provider: 'google.vertex.embedding',
+        headers: expect.any(Object),
+        baseURL:
+          'https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/publishers/google',
+      }),
+    );
+  });
+
+  it('should use correct URL for global region with image model', () => {
+    const provider = createVertex({
+      project: 'test-project',
+      location: 'global',
+    });
+    provider.image('imagen-3.0-generate-002');
+
+    expect(GoogleVertexImageModel).toHaveBeenCalledWith(
+      'imagen-3.0-generate-002',
+      expect.objectContaining({
+        provider: 'google.vertex.image',
+        baseURL:
+          'https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/publishers/google',
+        headers: expect.any(Object),
+      }),
+    );
+  });
+
+  it('should use region-prefixed URL for non-global regions', () => {
+    const provider = createVertex({
+      project: 'test-project',
+      location: 'us-central1',
+    });
+    provider('test-model-id');
+
+    expect(GoogleGenerativeAILanguageModel).toHaveBeenCalledWith(
+      'test-model-id',
+      expect.objectContaining({
+        provider: 'google.vertex.chat',
+        baseURL:
+          'https://us-central1-aiplatform.googleapis.com/v1/projects/test-project/locations/us-central1/publishers/google',
+        headers: expect.any(Object),
+        generateId: expect.any(Function),
+      }),
+    );
+  });
 });
diff --git a/packages/google-vertex/src/google-vertex-provider.ts b/packages/google-vertex/src/google-vertex-provider.ts
index b78c01aaa9fa..1f7554278dc9 100644
--- a/packages/google-vertex/src/google-vertex-provider.ts
+++ b/packages/google-vertex/src/google-vertex-provider.ts
@@ -93,9 +93,14 @@ export function createVertex(
   const loadBaseURL = () => {
     const region = loadVertexLocation();
     const project = loadVertexProject();
+
+    // For global region, use aiplatform.googleapis.com directly
+    // For other regions, use region-aiplatform.googleapis.com
+    const baseHost = `${region === 'global' ? '' : region + '-'}aiplatform.googleapis.com`;
+
     return (
       withoutTrailingSlash(options.baseURL) ??
-      `https://${region}-aiplatform.googleapis.com/v1/projects/${project}/locations/${region}/publishers/google`
+      `https://${baseHost}/v1/projects/${project}/locations/${region}/publishers/google`
     );
   };
 
diff --git a/packages/google/CHANGELOG.md b/packages/google/CHANGELOG.md
index 82a5a610797b..5d9b66a2afc8 100644
--- a/packages/google/CHANGELOG.md
+++ b/packages/google/CHANGELOG.md
@@ -1,5 +1,85 @@
 # @ai-sdk/google
 
+## 2.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.14
+
+### Patch Changes
+
+- 75f03b1: Add Gemini 2.5 Flash Lite GA
+
+## 2.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.12
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- 6a16dcf: embed() now uses the single embeddings endpoint
+  No code updates are needed.
+
+  This is to make sure that users are not ratelimited when using the batch endpoint, since many models have different limits for batch and single embeddings.
+
+  Eg: Google has a limit of 150 RPM for batch requests, and 1500 RPM for single requests.
+
+  Before, AI SDK would always use the batch endpoint, even for embed() calls, which led to ratelimits.
+
+  This does not have any breaking functionality and is fully tested :)
+  if (values.length > 1) {
+  const batchResult = await this.doEmbedBatch({
+  values,
+  options,
+  });
+  return batchResult;
+  }
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- 7badba2: fix(google): grounding streaming sources
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- 8af9e03: Added Image Models to the Google Provider for Imagen 3 Support
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- 2e06f14: feat (provider/google): Change to provider defined tools
+
+  - Change the google search tool to be a provider defined tool
+  - Added new URL context tool as a provider defined tool
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- 19a4336: Expose raw usageMetadata returned from Google Generative AI in providerMetadata
+
 ## 2.0.0-beta.6
 
 ### Patch Changes
diff --git a/packages/google/package.json b/packages/google/package.json
index ae935a84ca92..a091ee8ee999 100644
--- a/packages/google/package.json
+++ b/packages/google/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/google",
-  "version": "2.0.0-beta.6",
+  "version": "2.0.0-beta.15",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -47,10 +47,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/google/src/google-generative-ai-embedding-model.test.ts b/packages/google/src/google-generative-ai-embedding-model.test.ts
index 1d660d05e275..2f7c00d65562 100644
--- a/packages/google/src/google-generative-ai-embedding-model.test.ts
+++ b/packages/google/src/google-generative-ai-embedding-model.test.ts
@@ -12,22 +12,22 @@ const testValues = ['sunny day at the beach', 'rainy day in the city'];
 const provider = createGoogleGenerativeAI({ apiKey: 'test-api-key' });
 const model = provider.textEmbeddingModel('text-embedding-004');
 
+const URL =
+  'https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:something';
+
 const server = createTestServer({
-  'https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:batchEmbedContents':
-    {},
+  [URL]: {},
 });
 
 describe('GoogleGenerativeAIEmbeddingModel', () => {
-  function prepareJsonResponse({
+  function prepareBatchJsonResponse({
     embeddings = dummyEmbeddings,
     headers,
   }: {
     embeddings?: EmbeddingModelV2Embedding[];
     headers?: Record<string, string>;
   } = {}) {
-    server.urls[
-      'https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:batchEmbedContents'
-    ].response = {
+    server.urls[URL].response = {
       type: 'json-value',
       headers,
       body: {
@@ -36,8 +36,24 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
     };
   }
 
+  function prepareSingleJsonResponse({
+    embeddings = dummyEmbeddings,
+    headers,
+  }: {
+    embeddings?: EmbeddingModelV2Embedding[];
+    headers?: Record<string, string>;
+  } = {}) {
+    server.urls[URL].response = {
+      type: 'json-value',
+      headers,
+      body: {
+        embedding: { values: embeddings[0] },
+      },
+    };
+  }
+
   it('should extract embedding', async () => {
-    prepareJsonResponse();
+    prepareBatchJsonResponse();
 
     const { embeddings } = await model.doEmbed({ values: testValues });
 
@@ -45,7 +61,7 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
   });
 
   it('should expose the raw response', async () => {
-    prepareJsonResponse({
+    prepareBatchJsonResponse({
       headers: {
         'test-header': 'test-value',
       },
@@ -65,7 +81,7 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
   });
 
   it('should pass the model and the values', async () => {
-    prepareJsonResponse();
+    prepareBatchJsonResponse();
 
     await model.doEmbed({ values: testValues });
 
@@ -78,7 +94,7 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
   });
 
   it('should pass the outputDimensionality setting', async () => {
-    prepareJsonResponse();
+    prepareBatchJsonResponse();
 
     await provider.embedding('text-embedding-004').doEmbed({
       values: testValues,
@@ -97,7 +113,7 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
   });
 
   it('should pass the taskType setting', async () => {
-    prepareJsonResponse();
+    prepareBatchJsonResponse();
 
     await provider.embedding('text-embedding-004').doEmbed({
       values: testValues,
@@ -114,7 +130,7 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
   });
 
   it('should pass headers', async () => {
-    prepareJsonResponse();
+    prepareBatchJsonResponse();
 
     const provider = createGoogleGenerativeAI({
       apiKey: 'test-api-key',
@@ -151,4 +167,30 @@ describe('GoogleGenerativeAIEmbeddingModel', () => {
       'Too many values for a single embedding call. The google.generative-ai model "text-embedding-004" can only embed up to 2048 values per call, but 2049 values were provided.',
     );
   });
+
+  it('should use the batch embeddings endpoint', async () => {
+    prepareBatchJsonResponse();
+    const model = provider.textEmbeddingModel('text-embedding-004');
+    await model.doEmbed({
+      values: testValues,
+    });
+
+    expect(server.calls[0].requestUrl).toBe(
+      'https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:batchEmbedContents',
+    );
+  });
+
+  it('should use the single embeddings endpoint', async () => {
+    prepareSingleJsonResponse();
+
+    const model = provider.textEmbeddingModel('text-embedding-004');
+
+    await model.doEmbed({
+      values: [testValues[0]],
+    });
+
+    expect(server.calls[0].requestUrl).toBe(
+      'https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent',
+    );
+  });
 });
diff --git a/packages/google/src/google-generative-ai-embedding-model.ts b/packages/google/src/google-generative-ai-embedding-model.ts
index 2e9a26e8fb2e..61bdbf57dd0a 100644
--- a/packages/google/src/google-generative-ai-embedding-model.ts
+++ b/packages/google/src/google-generative-ai-embedding-model.ts
@@ -74,6 +74,38 @@ export class GoogleGenerativeAIEmbeddingModel
       headers,
     );
 
+    // For single embeddings, use the single endpoint (ratelimits, etc.)
+    if (values.length === 1) {
+      const {
+        responseHeaders,
+        value: response,
+        rawValue,
+      } = await postJsonToApi({
+        url: `${this.config.baseURL}/models/${this.modelId}:embedContent`,
+        headers: mergedHeaders,
+        body: {
+          model: `models/${this.modelId}`,
+          content: {
+            parts: [{ text: values[0] }],
+          },
+          outputDimensionality: googleOptions?.outputDimensionality,
+          taskType: googleOptions?.taskType,
+        },
+        failedResponseHandler: googleFailedResponseHandler,
+        successfulResponseHandler: createJsonResponseHandler(
+          googleGenerativeAISingleEmbeddingResponseSchema,
+        ),
+        abortSignal,
+        fetch: this.config.fetch,
+      });
+
+      return {
+        embeddings: [response.embedding.values],
+        usage: undefined,
+        response: { headers: responseHeaders, body: rawValue },
+      };
+    }
+
     const {
       responseHeaders,
       value: response,
@@ -110,3 +142,8 @@ export class GoogleGenerativeAIEmbeddingModel
 const googleGenerativeAITextEmbeddingResponseSchema = z.object({
   embeddings: z.array(z.object({ values: z.array(z.number()) })),
 });
+
+// Schema for single embedding response
+const googleGenerativeAISingleEmbeddingResponseSchema = z.object({
+  embedding: z.object({ values: z.array(z.number()) }),
+});
diff --git a/packages/google/src/google-generative-ai-image-model.test.ts b/packages/google/src/google-generative-ai-image-model.test.ts
new file mode 100644
index 000000000000..24b0a4f6d751
--- /dev/null
+++ b/packages/google/src/google-generative-ai-image-model.test.ts
@@ -0,0 +1,320 @@
+import { createTestServer } from '@ai-sdk/provider-utils/test';
+import { GoogleGenerativeAIImageModel } from './google-generative-ai-image-model';
+
+const prompt = 'A cute baby sea otter';
+
+const model = new GoogleGenerativeAIImageModel(
+  'imagen-3.0-generate-002',
+  {},
+  {
+    provider: 'google.generative-ai',
+    baseURL: 'https://api.example.com/v1beta',
+    headers: () => ({ 'api-key': 'test-api-key' }),
+  },
+);
+
+const server = createTestServer({
+  'https://api.example.com/v1beta/models/imagen-3.0-generate-002:predict': {
+    response: {
+      type: 'json-value',
+      body: {
+        predictions: [
+          { bytesBase64Encoded: 'base64-image-1' },
+          { bytesBase64Encoded: 'base64-image-2' },
+        ],
+      },
+    },
+  },
+});
+describe('GoogleGenerativeAIImageModel', () => {
+  describe('doGenerate', () => {
+    function prepareJsonResponse({
+      headers,
+    }: {
+      headers?: Record<string, string>;
+    } = {}) {
+      const url =
+        'https://api.example.com/v1beta/models/imagen-3.0-generate-002:predict';
+      server.urls[url].response = {
+        type: 'json-value',
+        headers,
+        body: {
+          predictions: [
+            { bytesBase64Encoded: 'base64-image-1' },
+            { bytesBase64Encoded: 'base64-image-2' },
+          ],
+        },
+      };
+    }
+
+    it('should pass headers', async () => {
+      prepareJsonResponse();
+
+      const modelWithHeaders = new GoogleGenerativeAIImageModel(
+        'imagen-3.0-generate-002',
+        {},
+        {
+          provider: 'google.generative-ai',
+          baseURL: 'https://api.example.com/v1beta',
+          headers: () => ({
+            'Custom-Provider-Header': 'provider-header-value',
+          }),
+        },
+      );
+
+      await modelWithHeaders.doGenerate({
+        prompt,
+        n: 2,
+        size: undefined,
+        aspectRatio: undefined,
+        seed: undefined,
+        providerOptions: {},
+        headers: {
+          'Custom-Request-Header': 'request-header-value',
+        },
+      });
+
+      expect(server.calls[0].requestHeaders).toStrictEqual({
+        'content-type': 'application/json',
+        'custom-provider-header': 'provider-header-value',
+        'custom-request-header': 'request-header-value',
+      });
+    });
+
+    it('should respect maxImagesPerCall setting', () => {
+      const customModel = new GoogleGenerativeAIImageModel(
+        'imagen-3.0-generate-002',
+        { maxImagesPerCall: 2 },
+        {
+          provider: 'google.generative-ai',
+          baseURL: 'https://api.example.com/v1beta',
+          headers: () => ({ 'api-key': 'test-api-key' }),
+        },
+      );
+
+      expect(customModel.maxImagesPerCall).toBe(2);
+    });
+
+    it('should use default maxImagesPerCall when not specified', () => {
+      const defaultModel = new GoogleGenerativeAIImageModel(
+        'imagen-3.0-generate-002',
+        {},
+        {
+          provider: 'google.generative-ai',
+          baseURL: 'https://api.example.com/v1beta',
+          headers: () => ({ 'api-key': 'test-api-key' }),
+        },
+      );
+
+      expect(defaultModel.maxImagesPerCall).toBe(4);
+    });
+
+    it('should extract the generated images', async () => {
+      prepareJsonResponse();
+
+      const result = await model.doGenerate({
+        prompt,
+        n: 2,
+        size: undefined,
+        aspectRatio: undefined,
+        seed: undefined,
+        providerOptions: {},
+      });
+
+      expect(result.images).toStrictEqual(['base64-image-1', 'base64-image-2']);
+    });
+
+    it('sends aspect ratio in the request', async () => {
+      prepareJsonResponse();
+
+      await model.doGenerate({
+        prompt: 'test prompt',
+        n: 1,
+        size: undefined,
+        aspectRatio: '16:9',
+        seed: undefined,
+        providerOptions: {},
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        instances: [{ prompt: 'test prompt' }],
+        parameters: {
+          sampleCount: 1,
+          aspectRatio: '16:9',
+        },
+      });
+    });
+
+    it('should pass aspect ratio directly when specified', async () => {
+      prepareJsonResponse();
+
+      await model.doGenerate({
+        prompt: 'test prompt',
+        n: 1,
+        size: undefined,
+        aspectRatio: '16:9',
+        seed: undefined,
+        providerOptions: {},
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        instances: [{ prompt: 'test prompt' }],
+        parameters: {
+          sampleCount: 1,
+          aspectRatio: '16:9',
+        },
+      });
+    });
+
+    it('should combine aspectRatio and provider options', async () => {
+      prepareJsonResponse();
+
+      await model.doGenerate({
+        prompt: 'test prompt',
+        n: 1,
+        size: undefined,
+        aspectRatio: '1:1',
+        seed: undefined,
+        providerOptions: {
+          google: {
+            personGeneration: 'dont_allow',
+          },
+        },
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        instances: [{ prompt: 'test prompt' }],
+        parameters: {
+          sampleCount: 1,
+          personGeneration: 'dont_allow',
+          aspectRatio: '1:1',
+        },
+      });
+    });
+
+    it('should return warnings for unsupported settings', async () => {
+      prepareJsonResponse();
+
+      const result = await model.doGenerate({
+        prompt,
+        n: 1,
+        size: '1024x1024',
+        aspectRatio: '1:1',
+        seed: 123,
+        providerOptions: {},
+      });
+
+      expect(result.warnings).toStrictEqual([
+        {
+          type: 'unsupported-setting',
+          setting: 'size',
+          details:
+            'This model does not support the `size` option. Use `aspectRatio` instead.',
+        },
+        {
+          type: 'unsupported-setting',
+          setting: 'seed',
+          details:
+            'This model does not support the `seed` option through this provider.',
+        },
+      ]);
+    });
+
+    it('should include response data with timestamp, modelId and headers', async () => {
+      prepareJsonResponse({
+        headers: {
+          'request-id': 'test-request-id',
+          'x-goog-quota-remaining': '123',
+        },
+      });
+
+      const testDate = new Date('2024-03-15T12:00:00Z');
+
+      const customModel = new GoogleGenerativeAIImageModel(
+        'imagen-3.0-generate-002',
+        {},
+        {
+          provider: 'google.generative-ai',
+          baseURL: 'https://api.example.com/v1beta',
+          headers: () => ({ 'api-key': 'test-api-key' }),
+          _internal: {
+            currentDate: () => testDate,
+          },
+        },
+      );
+
+      const result = await customModel.doGenerate({
+        prompt,
+        n: 1,
+        size: undefined,
+        aspectRatio: undefined,
+        seed: undefined,
+        providerOptions: {},
+      });
+
+      expect(result.response).toStrictEqual({
+        timestamp: testDate,
+        modelId: 'imagen-3.0-generate-002',
+        headers: {
+          'content-length': '97',
+          'content-type': 'application/json',
+          'request-id': 'test-request-id',
+          'x-goog-quota-remaining': '123',
+        },
+      });
+    });
+
+    it('should use real date when no custom date provider is specified', async () => {
+      prepareJsonResponse();
+      const beforeDate = new Date();
+
+      const result = await model.doGenerate({
+        prompt,
+        n: 2,
+        size: undefined,
+        aspectRatio: undefined,
+        seed: undefined,
+        providerOptions: {},
+      });
+
+      const afterDate = new Date();
+
+      expect(result.response.timestamp.getTime()).toBeGreaterThanOrEqual(
+        beforeDate.getTime(),
+      );
+      expect(result.response.timestamp.getTime()).toBeLessThanOrEqual(
+        afterDate.getTime(),
+      );
+      expect(result.response.modelId).toBe('imagen-3.0-generate-002');
+    });
+
+    it('should only pass valid provider options', async () => {
+      prepareJsonResponse();
+
+      await model.doGenerate({
+        prompt,
+        n: 2,
+        size: undefined,
+        aspectRatio: '16:9',
+        seed: undefined,
+        providerOptions: {
+          google: {
+            addWatermark: false,
+            personGeneration: 'allow_all',
+            foo: 'bar', // Invalid option
+            negativePrompt: 'negative prompt', // Invalid option
+          },
+        },
+      });
+
+      expect(await server.calls[0].requestBodyJson).toStrictEqual({
+        instances: [{ prompt }],
+        parameters: {
+          sampleCount: 2,
+          personGeneration: 'allow_all',
+          aspectRatio: '16:9',
+        },
+      });
+    });
+  });
+});
diff --git a/packages/google/src/google-generative-ai-image-model.ts b/packages/google/src/google-generative-ai-image-model.ts
new file mode 100644
index 000000000000..98b6cc6729f7
--- /dev/null
+++ b/packages/google/src/google-generative-ai-image-model.ts
@@ -0,0 +1,156 @@
+import { ImageModelV2, ImageModelV2CallWarning } from '@ai-sdk/provider';
+import {
+  combineHeaders,
+  createJsonResponseHandler,
+  parseProviderOptions,
+  postJsonToApi,
+  resolve,
+} from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+import { googleFailedResponseHandler } from './google-error';
+import {
+  GoogleGenerativeAIImageModelId,
+  GoogleGenerativeAIImageSettings,
+} from './google-generative-ai-image-settings';
+import { FetchFunction, Resolvable } from '@ai-sdk/provider-utils';
+
+interface GoogleGenerativeAIImageModelConfig {
+  provider: string;
+  baseURL: string;
+  headers?: Resolvable<Record<string, string | undefined>>;
+  fetch?: FetchFunction;
+  generateId?: () => string;
+  _internal?: {
+    currentDate?: () => Date;
+  };
+}
+
+export class GoogleGenerativeAIImageModel implements ImageModelV2 {
+  readonly specificationVersion = 'v2';
+
+  get maxImagesPerCall(): number {
+    // https://ai.google.dev/gemini-api/docs/imagen#imagen-model
+    return this.settings.maxImagesPerCall ?? 4;
+  }
+
+  get provider(): string {
+    return this.config.provider;
+  }
+
+  constructor(
+    readonly modelId: GoogleGenerativeAIImageModelId,
+    private readonly settings: GoogleGenerativeAIImageSettings,
+    private readonly config: GoogleGenerativeAIImageModelConfig,
+  ) {}
+
+  async doGenerate(
+    options: Parameters<ImageModelV2['doGenerate']>[0],
+  ): Promise<Awaited<ReturnType<ImageModelV2['doGenerate']>>> {
+    const {
+      prompt,
+      n = 1,
+      size = '1024x1024',
+      aspectRatio = '1:1',
+      seed,
+      providerOptions,
+      headers,
+      abortSignal,
+    } = options;
+    const warnings: Array<ImageModelV2CallWarning> = [];
+
+    if (size != null) {
+      warnings.push({
+        type: 'unsupported-setting',
+        setting: 'size',
+        details:
+          'This model does not support the `size` option. Use `aspectRatio` instead.',
+      });
+    }
+
+    if (seed != null) {
+      warnings.push({
+        type: 'unsupported-setting',
+        setting: 'seed',
+        details:
+          'This model does not support the `seed` option through this provider.',
+      });
+    }
+
+    const googleOptions = await parseProviderOptions({
+      provider: 'google',
+      providerOptions,
+      schema: googleImageProviderOptionsSchema,
+    });
+
+    const currentDate = this.config._internal?.currentDate?.() ?? new Date();
+
+    const parameters: Record<string, unknown> = {
+      sampleCount: n,
+    };
+
+    if (aspectRatio != null) {
+      parameters.aspectRatio = aspectRatio;
+    }
+
+    if (googleOptions) {
+      Object.assign(parameters, googleOptions);
+    }
+
+    const body = {
+      instances: [{ prompt }],
+      parameters,
+    };
+
+    const { responseHeaders, value: response } = await postJsonToApi<{
+      predictions: Array<{ bytesBase64Encoded: string }>;
+    }>({
+      url: `${this.config.baseURL}/models/${this.modelId}:predict`,
+      headers: combineHeaders(await resolve(this.config.headers), headers),
+      body,
+      failedResponseHandler: googleFailedResponseHandler,
+      successfulResponseHandler: createJsonResponseHandler(
+        googleImageResponseSchema,
+      ),
+      abortSignal,
+      fetch: this.config.fetch,
+    });
+    return {
+      images: response.predictions.map(
+        (p: { bytesBase64Encoded: string }) => p.bytesBase64Encoded,
+      ),
+      warnings: warnings ?? [],
+      providerMetadata: {
+        google: {
+          images: response.predictions.map(prediction => ({
+            // Add any prediction-specific metadata here
+          })),
+        },
+      },
+      response: {
+        timestamp: currentDate,
+        modelId: this.modelId,
+        headers: responseHeaders,
+      },
+    };
+  }
+}
+
+// minimal version of the schema
+const googleImageResponseSchema = z.object({
+  predictions: z
+    .array(z.object({ bytesBase64Encoded: z.string() }))
+    .default([]),
+});
+
+// Note: For the initial GA launch of Imagen 3, safety filters are not configurable.
+// https://ai.google.dev/gemini-api/docs/imagen#imagen-model
+const googleImageProviderOptionsSchema = z.object({
+  personGeneration: z
+    .enum(['dont_allow', 'allow_adult', 'allow_all'])
+    .nullish(),
+  aspectRatio: z.enum(['1:1', '3:4', '4:3', '9:16', '16:9']).nullish(),
+});
+
+export type GoogleGenerativeAIImageProviderOptions = z.infer<
+  typeof googleImageProviderOptionsSchema
+>;
diff --git a/packages/google/src/google-generative-ai-image-settings.ts b/packages/google/src/google-generative-ai-image-settings.ts
new file mode 100644
index 000000000000..82fd75cbdd5b
--- /dev/null
+++ b/packages/google/src/google-generative-ai-image-settings.ts
@@ -0,0 +1,10 @@
+export type GoogleGenerativeAIImageModelId =
+  | 'imagen-3.0-generate-002'
+  | (string & {});
+
+export interface GoogleGenerativeAIImageSettings {
+  /**
+Override the maximum number of images per call (default 4)
+   */
+  maxImagesPerCall?: number;
+}
diff --git a/packages/google/src/google-generative-ai-language-model.test.ts b/packages/google/src/google-generative-ai-language-model.test.ts
index 9020fac44817..9abd1ce1208f 100644
--- a/packages/google/src/google-generative-ai-language-model.test.ts
+++ b/packages/google/src/google-generative-ai-language-model.test.ts
@@ -3,12 +3,15 @@ import {
   convertReadableStreamToArray,
   createTestServer,
 } from '@ai-sdk/provider-utils/test';
+import { GoogleGenerativeAILanguageModel } from './google-generative-ai-language-model';
+
 import {
-  GoogleGenerativeAILanguageModel,
-  groundingMetadataSchema,
-} from './google-generative-ai-language-model';
-import { GoogleGenerativeAIGroundingMetadata } from './google-generative-ai-prompt';
+  GoogleGenerativeAIGroundingMetadata,
+  GoogleGenerativeAIUrlContextMetadata,
+} from './google-generative-ai-prompt';
 import { createGoogleGenerativeAI } from './google-provider';
+import { groundingMetadataSchema } from './tool/google-search';
+import { urlContextMetadataSchema } from './tool/url-context';
 
 const TEST_PROMPT: LanguageModelV2Prompt = [
   { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
@@ -144,6 +147,31 @@ describe('groundingMetadataSchema', () => {
   });
 });
 
+describe('urlContextMetadata', () => {
+  it('validates complete url context output', () => {
+    const output = {
+      urlMetadata: [
+        {
+          retrievedUrl: 'https://example.com/weather',
+          urlRetrievalStatus: 'URL_RETRIEVAL_STATUS_SUCCESS',
+        },
+      ],
+    };
+
+    const result = urlContextMetadataSchema.safeParse(output);
+    expect(result.success).toBe(true);
+  });
+
+  it('validates empty url context output', () => {
+    const output = {
+      urlMetadata: [],
+    };
+
+    const result = urlContextMetadataSchema.safeParse(output);
+    expect(result.success).toBe(true);
+  });
+});
+
 describe('doGenerate', () => {
   const TEST_URL_GEMINI_PRO =
     'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent';
@@ -971,11 +999,14 @@ describe('doGenerate', () => {
       const gemini2Pro = provider.languageModel('gemini-2.0-pro');
       await gemini2Pro.doGenerate({
         prompt: TEST_PROMPT,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -991,11 +1022,14 @@ describe('doGenerate', () => {
       const gemini2Flash = provider.languageModel('gemini-2.0-flash-exp');
       await gemini2Flash.doGenerate({
         prompt: TEST_PROMPT,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1011,11 +1045,14 @@ describe('doGenerate', () => {
       const geminiPro = provider.languageModel('gemini-1.0-pro');
       await geminiPro.doGenerate({
         prompt: TEST_PROMPT,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1032,15 +1069,17 @@ describe('doGenerate', () => {
 
       await geminiPro.doGenerate({
         prompt: TEST_PROMPT,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
-            dynamicRetrievalConfig: {
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {
               mode: 'MODE_DYNAMIC',
               dynamicThreshold: 1,
             },
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1054,6 +1093,28 @@ describe('doGenerate', () => {
         },
       });
     });
+    it('should use urlContextTool for gemini-2.0-pro', async () => {
+      prepareJsonResponse({
+        url: TEST_URL_GEMINI_2_0_PRO,
+      });
+
+      const gemini2Pro = provider.languageModel('gemini-2.0-pro');
+      await gemini2Pro.doGenerate({
+        prompt: TEST_PROMPT,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.url_context',
+            name: 'url_context',
+            args: {},
+          },
+        ],
+      });
+
+      expect(await server.calls[0].requestBodyJson).toMatchObject({
+        tools: { urlContext: {} },
+      });
+    });
   });
 
   it('should extract image file outputs', async () => {
@@ -1447,11 +1508,13 @@ describe('doStream', () => {
     content,
     headers,
     groundingMetadata,
+    urlContextMetadata,
     url = 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:streamGenerateContent',
   }: {
     content: string[];
     headers?: Record<string, string>;
     groundingMetadata?: GoogleGenerativeAIGroundingMetadata;
+    urlContextMetadata?: GoogleGenerativeAIUrlContextMetadata;
     url?:
       | typeof TEST_URL_GEMINI_PRO
       | typeof TEST_URL_GEMINI_2_0_PRO
@@ -1472,6 +1535,7 @@ describe('doStream', () => {
                 index: 0,
                 safetyRatings: SAFETY_RATINGS,
                 ...(groundingMetadata && { groundingMetadata }),
+                ...(urlContextMetadata && { urlContextMetadata }),
               },
             ],
             // Include usage metadata only in the last chunk
@@ -1561,6 +1625,40 @@ describe('doStream', () => {
     });
   });
 
+  it('should expose url context metadata in provider metadata on finish', async () => {
+    prepareStreamResponse({
+      content: ['test'],
+      urlContextMetadata: {
+        urlMetadata: [
+          {
+            retrievedUrl: 'https://example.com/weather',
+            urlRetrievalStatus: 'URL_RETRIEVAL_STATUS_SUCCESS',
+          },
+        ],
+      },
+    });
+
+    const { stream } = await model.doStream({
+      prompt: TEST_PROMPT,
+      includeRawChunks: false,
+    });
+
+    const events = await convertReadableStreamToArray(stream);
+    const finishEvent = events.find(event => event.type === 'finish');
+
+    expect(
+      finishEvent?.type === 'finish' &&
+        finishEvent.providerMetadata?.google.urlContextMetadata,
+    ).toStrictEqual({
+      urlMetadata: [
+        {
+          retrievedUrl: 'https://example.com/weather',
+          urlRetrievalStatus: 'URL_RETRIEVAL_STATUS_SUCCESS',
+        },
+      ],
+    });
+  });
+
   it('should stream text deltas', async () => {
     prepareStreamResponse({ content: ['Hello', ', ', 'world!'] });
 
@@ -1621,6 +1719,12 @@ describe('doStream', () => {
                   "probability": "NEGLIGIBLE",
                 },
               ],
+              "urlContextMetadata": null,
+              "usageMetadata": {
+                "candidatesTokenCount": 233,
+                "promptTokenCount": 294,
+                "totalTokenCount": 527,
+              },
             },
           },
           "type": "finish",
@@ -1686,11 +1790,14 @@ describe('doStream', () => {
       await gemini2Pro.doStream({
         prompt: TEST_PROMPT,
         includeRawChunks: false,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1709,11 +1816,14 @@ describe('doStream', () => {
       await gemini2Flash.doStream({
         prompt: TEST_PROMPT,
         includeRawChunks: false,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1731,11 +1841,14 @@ describe('doStream', () => {
       await geminiPro.doStream({
         prompt: TEST_PROMPT,
         includeRawChunks: false,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {},
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1754,15 +1867,17 @@ describe('doStream', () => {
       await geminiPro.doStream({
         prompt: TEST_PROMPT,
         includeRawChunks: false,
-        providerOptions: {
-          google: {
-            useSearchGrounding: true,
-            dynamicRetrievalConfig: {
+        tools: [
+          {
+            type: 'provider-defined',
+            id: 'google.google_search',
+            name: 'google_search',
+            args: {
               mode: 'MODE_DYNAMIC',
               dynamicThreshold: 1,
             },
           },
-        },
+        ],
       });
 
       expect(await server.calls[0].requestBodyJson).toMatchObject({
@@ -1814,6 +1929,153 @@ describe('doStream', () => {
     `);
   });
 
+  it('should stream sources during intermediate chunks', async () => {
+    server.urls[TEST_URL_GEMINI_PRO].response = {
+      type: 'stream-chunks',
+      chunks: [
+        `data: ${JSON.stringify({
+          candidates: [
+            {
+              content: { parts: [{ text: 'text' }], role: 'model' },
+              index: 0,
+              safetyRatings: SAFETY_RATINGS,
+              groundingMetadata: {
+                groundingChunks: [
+                  { web: { uri: 'https://a.com', title: 'A' } },
+                  { web: { uri: 'https://b.com', title: 'B' } },
+                ],
+              },
+            },
+          ],
+        })}\n\n`,
+        `data: ${JSON.stringify({
+          candidates: [
+            {
+              content: { parts: [{ text: 'more' }], role: 'model' },
+              finishReason: 'STOP',
+              index: 0,
+              safetyRatings: SAFETY_RATINGS,
+            },
+          ],
+        })}\n\n`,
+      ],
+    };
+
+    const { stream } = await model.doStream({
+      prompt: TEST_PROMPT,
+      includeRawChunks: false,
+    });
+
+    const events = await convertReadableStreamToArray(stream);
+    const sourceEvents = events.filter(event => event.type === 'source');
+
+    expect(sourceEvents).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "test-id",
+          "sourceType": "url",
+          "title": "A",
+          "type": "source",
+          "url": "https://a.com",
+        },
+        {
+          "id": "test-id",
+          "sourceType": "url",
+          "title": "B",
+          "type": "source",
+          "url": "https://b.com",
+        },
+      ]
+    `);
+  });
+
+  it('should deduplicate sources across chunks', async () => {
+    server.urls[TEST_URL_GEMINI_PRO].response = {
+      type: 'stream-chunks',
+      chunks: [
+        `data: ${JSON.stringify({
+          candidates: [
+            {
+              content: { parts: [{ text: 'first chunk' }], role: 'model' },
+              index: 0,
+              safetyRatings: SAFETY_RATINGS,
+              groundingMetadata: {
+                groundingChunks: [
+                  { web: { uri: 'https://example.com', title: 'Example' } },
+                  { web: { uri: 'https://unique.com', title: 'Unique' } },
+                ],
+              },
+            },
+          ],
+        })}\n\n`,
+        `data: ${JSON.stringify({
+          candidates: [
+            {
+              content: { parts: [{ text: 'second chunk' }], role: 'model' },
+              index: 0,
+              safetyRatings: SAFETY_RATINGS,
+              groundingMetadata: {
+                groundingChunks: [
+                  {
+                    web: {
+                      uri: 'https://example.com',
+                      title: 'Example Duplicate',
+                    },
+                  },
+                  { web: { uri: 'https://another.com', title: 'Another' } },
+                ],
+              },
+            },
+          ],
+        })}\n\n`,
+        `data: ${JSON.stringify({
+          candidates: [
+            {
+              content: { parts: [{ text: 'final chunk' }], role: 'model' },
+              finishReason: 'STOP',
+              index: 0,
+              safetyRatings: SAFETY_RATINGS,
+            },
+          ],
+        })}\n\n`,
+      ],
+    };
+
+    const { stream } = await model.doStream({
+      prompt: TEST_PROMPT,
+      includeRawChunks: false,
+    });
+
+    const events = await convertReadableStreamToArray(stream);
+    const sourceEvents = events.filter(event => event.type === 'source');
+
+    expect(sourceEvents).toMatchInlineSnapshot(`
+      [
+        {
+          "id": "test-id",
+          "sourceType": "url",
+          "title": "Example",
+          "type": "source",
+          "url": "https://example.com",
+        },
+        {
+          "id": "test-id",
+          "sourceType": "url",
+          "title": "Unique",
+          "type": "source",
+          "url": "https://unique.com",
+        },
+        {
+          "id": "test-id",
+          "sourceType": "url",
+          "title": "Another",
+          "type": "source",
+          "url": "https://another.com",
+        },
+      ]
+    `);
+  });
+
   it('should stream files', async () => {
     server.urls[TEST_URL_GEMINI_PRO].response = {
       type: 'stream-chunks',
@@ -1869,6 +2131,7 @@ describe('doStream', () => {
                   "probability": "NEGLIGIBLE",
                 },
               ],
+              "urlContextMetadata": null,
             },
           },
           "type": "finish",
@@ -2124,6 +2387,13 @@ describe('doStream', () => {
             "google": {
               "groundingMetadata": null,
               "safetyRatings": null,
+              "urlContextMetadata": null,
+              "usageMetadata": {
+                "candidatesTokenCount": 18,
+                "promptTokenCount": 14,
+                "thoughtsTokenCount": 142,
+                "totalTokenCount": 174,
+              },
             },
           },
           "type": "finish",
diff --git a/packages/google/src/google-generative-ai-language-model.ts b/packages/google/src/google-generative-ai-language-model.ts
index 1c2cc8db26ee..108e159ebbe8 100644
--- a/packages/google/src/google-generative-ai-language-model.ts
+++ b/packages/google/src/google-generative-ai-language-model.ts
@@ -15,6 +15,7 @@ import {
   combineHeaders,
   createEventSourceResponseHandler,
   createJsonResponseHandler,
+  generateId,
   parseProviderOptions,
   postJsonToApi,
   resolve,
@@ -31,6 +32,11 @@ import {
 } from './google-generative-ai-options';
 import { prepareTools } from './google-prepare-tools';
 import { mapGoogleGenerativeAIFinishReason } from './map-google-generative-ai-finish-reason';
+import {
+  groundingChunkSchema,
+  groundingMetadataSchema,
+} from './tool/google-search';
+import { urlContextMetadataSchema } from './tool/url-context';
 
 type GoogleGenerativeAIConfig = {
   provider: string;
@@ -51,6 +57,7 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
   readonly modelId: GoogleGenerativeAIModelId;
 
   private readonly config: GoogleGenerativeAIConfig;
+  private readonly generateId: () => string;
 
   constructor(
     modelId: GoogleGenerativeAIModelId,
@@ -58,6 +65,7 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
   ) {
     this.modelId = modelId;
     this.config = config;
+    this.generateId = config.generateId ?? generateId;
   }
 
   get provider(): string {
@@ -119,8 +127,6 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
     } = prepareTools({
       tools,
       toolChoice,
-      useSearchGrounding: googleOptions?.useSearchGrounding ?? false,
-      dynamicRetrievalConfig: googleOptions?.dynamicRetrievalConfig,
       modelId: this.modelId,
     });
 
@@ -258,7 +264,9 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
       providerMetadata: {
         google: {
           groundingMetadata: candidate.groundingMetadata ?? null,
+          urlContextMetadata: candidate.urlContextMetadata ?? null,
           safetyRatings: candidate.safetyRatings ?? null,
+          usageMetadata: usageMetadata ?? null,
         },
       },
       request: { body },
@@ -309,6 +317,9 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
     let currentReasoningBlockId: string | null = null;
     let blockCounter = 0;
 
+    // Track emitted sources to prevent duplicates
+    const emittedSourceUrls = new Set<string>();
+
     return {
       stream: response.pipeThrough(
         new TransformStream<
@@ -353,6 +364,22 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
 
             const content = candidate.content;
 
+            const sources = extractSources({
+              groundingMetadata: candidate.groundingMetadata,
+              generateId,
+            });
+            if (sources != null) {
+              for (const source of sources) {
+                if (
+                  source.sourceType === 'url' &&
+                  !emittedSourceUrls.has(source.url)
+                ) {
+                  emittedSourceUrls.add(source.url);
+                  controller.enqueue(source);
+                }
+              }
+            }
+
             // Process tool call's parts before determining finishReason to ensure hasToolCalls is properly set
             if (content != null) {
               // Process text parts individually to handle reasoning parts
@@ -468,22 +495,16 @@ export class GoogleGenerativeAILanguageModel implements LanguageModelV2 {
                 hasToolCalls,
               });
 
-              const sources =
-                extractSources({
-                  groundingMetadata: candidate.groundingMetadata,
-                  generateId,
-                }) ?? [];
-
-              for (const source of sources) {
-                controller.enqueue(source);
-              }
-
               providerMetadata = {
                 google: {
                   groundingMetadata: candidate.groundingMetadata ?? null,
+                  urlContextMetadata: candidate.urlContextMetadata ?? null,
                   safetyRatings: candidate.safetyRatings ?? null,
                 },
               };
+              if (usageMetadata != null) {
+                providerMetadata.google.usageMetadata = usageMetadata;
+              }
             }
           },
 
@@ -612,44 +633,6 @@ const contentSchema = z.object({
     .nullish(),
 });
 
-// https://ai.google.dev/gemini-api/docs/grounding
-// https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-gemini#ground-to-search
-const groundingChunkSchema = z.object({
-  web: z.object({ uri: z.string(), title: z.string() }).nullish(),
-  retrievedContext: z.object({ uri: z.string(), title: z.string() }).nullish(),
-});
-
-export const groundingMetadataSchema = z.object({
-  webSearchQueries: z.array(z.string()).nullish(),
-  retrievalQueries: z.array(z.string()).nullish(),
-  searchEntryPoint: z.object({ renderedContent: z.string() }).nullish(),
-  groundingChunks: z.array(groundingChunkSchema).nullish(),
-  groundingSupports: z
-    .array(
-      z.object({
-        segment: z.object({
-          startIndex: z.number().nullish(),
-          endIndex: z.number().nullish(),
-          text: z.string().nullish(),
-        }),
-        segment_text: z.string().nullish(),
-        groundingChunkIndices: z.array(z.number()).nullish(),
-        supportChunkIndices: z.array(z.number()).nullish(),
-        confidenceScores: z.array(z.number()).nullish(),
-        confidenceScore: z.array(z.number()).nullish(),
-      }),
-    )
-    .nullish(),
-  retrievalMetadata: z
-    .union([
-      z.object({
-        webDynamicRetrievalScore: z.number(),
-      }),
-      z.object({}),
-    ])
-    .nullish(),
-});
-
 // https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-filters
 export const safetyRatingSchema = z.object({
   category: z.string().nullish(),
@@ -675,6 +658,7 @@ const responseSchema = z.object({
       finishReason: z.string().nullish(),
       safetyRatings: z.array(safetyRatingSchema).nullish(),
       groundingMetadata: groundingMetadataSchema.nullish(),
+      urlContextMetadata: urlContextMetadataSchema.nullish(),
     }),
   ),
   usageMetadata: usageSchema.nullish(),
@@ -690,6 +674,7 @@ const chunkSchema = z.object({
         finishReason: z.string().nullish(),
         safetyRatings: z.array(safetyRatingSchema).nullish(),
         groundingMetadata: groundingMetadataSchema.nullish(),
+        urlContextMetadata: urlContextMetadataSchema.nullish(),
       }),
     )
     .nullish(),
diff --git a/packages/google/src/google-generative-ai-options.ts b/packages/google/src/google-generative-ai-options.ts
index 2e719964c7b8..4d98f081b997 100644
--- a/packages/google/src/google-generative-ai-options.ts
+++ b/packages/google/src/google-generative-ai-options.ts
@@ -23,6 +23,7 @@ export type GoogleGenerativeAIModelId =
   | 'gemini-2.0-flash-exp'
   | 'gemini-2.5-pro'
   | 'gemini-2.5-flash'
+  | 'gemini-2.5-flash-lite'
   // Experimental models
   // https://ai.google.dev/gemini-api/docs/models/experimental-models
   | 'gemini-2.5-pro-exp-03-25'
@@ -32,21 +33,6 @@ export type GoogleGenerativeAIModelId =
   | 'gemma-3-27b-it'
   | (string & {});
 
-const dynamicRetrievalConfig = z.object({
-  /**
-   * The mode of the predictor to be used in dynamic retrieval.
-   */
-  mode: z.enum(['MODE_UNSPECIFIED', 'MODE_DYNAMIC']).optional(),
-
-  /**
-   * The threshold to be used in dynamic retrieval. If not set, a system default
-   * value is used.
-   */
-  dynamicThreshold: z.number().optional(),
-});
-
-export type DynamicRetrievalConfig = z.infer<typeof dynamicRetrievalConfig>;
-
 export const googleGenerativeAIProviderOptions = z.object({
   responseModalities: z.array(z.enum(['TEXT', 'IMAGE'])).optional(),
 
@@ -117,22 +103,6 @@ Optional. A list of unique safety settings for blocking unsafe content.
    * https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/audio-understanding
    */
   audioTimestamp: z.boolean().optional(),
-
-  /**
-Optional. When enabled, the model will use Google search to ground the response.
-
-@see https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/overview
- */
-  useSearchGrounding: z.boolean().optional(),
-
-  /**
-Optional. Specifies the dynamic retrieval configuration.
-
-@note Dynamic retrieval is only compatible with Gemini 1.5 Flash.
-
-@see https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-with-google-search#dynamic-retrieval
- */
-  dynamicRetrievalConfig: dynamicRetrievalConfig.optional(),
 });
 
 export type GoogleGenerativeAIProviderOptions = z.infer<
diff --git a/packages/google/src/google-generative-ai-prompt.ts b/packages/google/src/google-generative-ai-prompt.ts
index 80b1abb7617c..676cfb23c30f 100644
--- a/packages/google/src/google-generative-ai-prompt.ts
+++ b/packages/google/src/google-generative-ai-prompt.ts
@@ -1,8 +1,7 @@
-import {
-  groundingMetadataSchema,
-  safetyRatingSchema,
-} from './google-generative-ai-language-model';
 import { z } from 'zod/v4';
+import { groundingMetadataSchema } from './tool/google-search';
+import { urlContextMetadataSchema } from './tool/url-context';
+import { safetyRatingSchema } from './google-generative-ai-language-model';
 
 export type GoogleGenerativeAIPrompt = {
   systemInstruction?: GoogleGenerativeAISystemInstruction;
@@ -29,9 +28,14 @@ export type GoogleGenerativeAIGroundingMetadata = z.infer<
   typeof groundingMetadataSchema
 >;
 
+export type GoogleGenerativeAIUrlContextMetadata = z.infer<
+  typeof urlContextMetadataSchema
+>;
+
 export type GoogleGenerativeAISafetyRating = z.infer<typeof safetyRatingSchema>;
 
 export interface GoogleGenerativeAIProviderMetadata {
   groundingMetadata: GoogleGenerativeAIGroundingMetadata | null;
+  urlContextMetadata: GoogleGenerativeAIUrlContextMetadata | null;
   safetyRatings: GoogleGenerativeAISafetyRating[] | null;
 }
diff --git a/packages/google/src/google-prepare-tools.test.ts b/packages/google/src/google-prepare-tools.test.ts
new file mode 100644
index 000000000000..c18e271d9cf9
--- /dev/null
+++ b/packages/google/src/google-prepare-tools.test.ts
@@ -0,0 +1,272 @@
+import { prepareTools } from './google-prepare-tools';
+
+it('should return undefined tools and tool_choice when tools are null', () => {
+  const result = prepareTools({
+    tools: undefined,
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result).toEqual({
+    tools: undefined,
+    tool_choice: undefined,
+    toolWarnings: [],
+  });
+});
+
+it('should return undefined tools and tool_choice when tools are empty', () => {
+  const result = prepareTools({ tools: [], modelId: 'gemini-2.5-flash' });
+  expect(result).toEqual({
+    tools: undefined,
+    tool_choice: undefined,
+    toolWarnings: [],
+  });
+});
+
+it('should correctly prepare function tools', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'A test function',
+        inputSchema: { type: 'object', properties: {} },
+      },
+    ],
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.tools).toEqual({
+    functionDeclarations: [
+      {
+        name: 'testFunction',
+        description: 'A test function',
+        parameters: undefined,
+      },
+    ],
+  });
+  expect(result.toolConfig).toBeUndefined();
+  expect(result.toolWarnings).toEqual([]);
+});
+
+it('should correctly prepare provider-defined tools', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'provider-defined',
+        id: 'google.google_search',
+        name: 'google_search',
+        args: {},
+      },
+      {
+        type: 'provider-defined',
+        id: 'google.url_context',
+        name: 'url_context',
+        args: {},
+      },
+    ],
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.tools).toEqual({
+    googleSearch: {},
+    urlContext: {},
+  });
+  expect(result.toolConfig).toBeUndefined();
+  expect(result.toolWarnings).toEqual([]);
+});
+
+it('should add warnings for unsupported tools', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'provider-defined',
+        id: 'unsupported.tool',
+        name: 'unsupported_tool',
+        args: {},
+      },
+    ],
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.tools).toBeUndefined();
+  expect(result.toolConfig).toBeUndefined();
+  expect(result.toolWarnings).toMatchInlineSnapshot(`
+    [
+      {
+        "tool": {
+          "args": {},
+          "id": "unsupported.tool",
+          "name": "unsupported_tool",
+          "type": "provider-defined",
+        },
+        "type": "unsupported-tool",
+      },
+    ]
+  `);
+});
+
+it('should handle tool choice "auto"', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'Test',
+        inputSchema: {},
+      },
+    ],
+    toolChoice: { type: 'auto' },
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.toolConfig).toEqual({
+    functionCallingConfig: { mode: 'AUTO' },
+  });
+});
+
+it('should handle tool choice "required"', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'Test',
+        inputSchema: {},
+      },
+    ],
+    toolChoice: { type: 'required' },
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.toolConfig).toEqual({
+    functionCallingConfig: { mode: 'ANY' },
+  });
+});
+
+it('should handle tool choice "none"', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'Test',
+        inputSchema: {},
+      },
+    ],
+    toolChoice: { type: 'none' },
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.tools).toEqual({
+    functionDeclarations: [
+      {
+        name: 'testFunction',
+        description: 'Test',
+        parameters: {},
+      },
+    ],
+  });
+  expect(result.toolConfig).toEqual({
+    functionCallingConfig: { mode: 'NONE' },
+  });
+});
+
+it('should handle tool choice "tool"', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'Test',
+        inputSchema: {},
+      },
+    ],
+    toolChoice: { type: 'tool', toolName: 'testFunction' },
+    modelId: 'gemini-2.5-flash',
+  });
+  expect(result.toolConfig).toEqual({
+    functionCallingConfig: {
+      mode: 'ANY',
+      allowedFunctionNames: ['testFunction'],
+    },
+  });
+});
+
+it('should warn when mixing function and provider-defined tools', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'A test function',
+        inputSchema: { type: 'object', properties: {} },
+      },
+      {
+        type: 'provider-defined',
+        id: 'google.google_search',
+        name: 'google_search',
+        args: {},
+      },
+    ],
+    modelId: 'gemini-2.5-flash',
+  });
+
+  // Should only include provider-defined tools
+  expect(result.tools).toEqual({
+    googleSearch: {},
+  });
+
+  // Should have warning about mixed tool types
+  expect(result.toolWarnings).toEqual([
+    {
+      type: 'unsupported-tool',
+      tool: {
+        type: 'function',
+        name: 'testFunction',
+        description: 'A test function',
+        inputSchema: { type: 'object', properties: {} },
+      },
+      details:
+        'Cannot mix function tools with provider-defined tools in the same request. Please use either function tools or provider-defined tools, but not both.',
+    },
+  ]);
+
+  expect(result.toolConfig).toBeUndefined();
+});
+
+it('should handle tool choice with mixed tools (provider-defined tools only)', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'function',
+        name: 'testFunction',
+        description: 'A test function',
+        inputSchema: { type: 'object', properties: {} },
+      },
+      {
+        type: 'provider-defined',
+        id: 'google.google_search',
+        name: 'google_search',
+        args: {},
+      },
+    ],
+    toolChoice: { type: 'auto' },
+    modelId: 'gemini-2.5-flash',
+  });
+
+  // Should only include provider-defined tools
+  expect(result.tools).toEqual({
+    googleSearch: {},
+  });
+
+  // Should apply tool choice to provider-defined tools
+  expect(result.toolConfig).toEqual(undefined);
+
+  // Should have warning about mixed tool types
+  expect(result.toolWarnings).toEqual([
+    {
+      type: 'unsupported-tool',
+      tool: {
+        type: 'function',
+        name: 'testFunction',
+        description: 'A test function',
+        inputSchema: { type: 'object', properties: {} },
+      },
+      details:
+        'Cannot mix function tools with provider-defined tools in the same request. Please use either function tools or provider-defined tools, but not both.',
+    },
+  ]);
+});
diff --git a/packages/google/src/google-prepare-tools.ts b/packages/google/src/google-prepare-tools.ts
index 975fc83a0c9a..a60d452399d9 100644
--- a/packages/google/src/google-prepare-tools.ts
+++ b/packages/google/src/google-prepare-tools.ts
@@ -4,39 +4,27 @@ import {
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
 import { convertJSONSchemaToOpenAPISchema } from './convert-json-schema-to-openapi-schema';
-import {
-  DynamicRetrievalConfig,
-  GoogleGenerativeAIModelId,
-} from './google-generative-ai-options';
+import { GoogleGenerativeAIModelId } from './google-generative-ai-options';
 
 export function prepareTools({
   tools,
   toolChoice,
-  useSearchGrounding,
-  dynamicRetrievalConfig,
   modelId,
 }: {
   tools: LanguageModelV2CallOptions['tools'];
   toolChoice?: LanguageModelV2CallOptions['toolChoice'];
-  useSearchGrounding: boolean;
-  dynamicRetrievalConfig: DynamicRetrievalConfig | undefined;
   modelId: GoogleGenerativeAIModelId;
 }): {
   tools:
-    | undefined
     | {
         functionDeclarations: Array<{
           name: string;
-          description: string | undefined;
+          description: string;
           parameters: unknown;
         }>;
       }
-    | {
-        googleSearchRetrieval:
-          | Record<string, never>
-          | { dynamicRetrievalConfig: DynamicRetrievalConfig };
-      }
-    | { googleSearch: Record<string, never> };
+    | Record<string, any>
+    | undefined;
   toolConfig:
     | undefined
     | {
@@ -56,35 +44,91 @@ export function prepareTools({
   const supportsDynamicRetrieval =
     modelId.includes('gemini-1.5-flash') && !modelId.includes('-8b');
 
-  if (useSearchGrounding) {
+  if (tools == null) {
+    return { tools: undefined, toolConfig: undefined, toolWarnings };
+  }
+
+  // Check for mixed tool types and add warnings
+  const hasFunctionTools = tools.some(tool => tool.type === 'function');
+  const hasProviderDefinedTools = tools.some(
+    tool => tool.type === 'provider-defined',
+  );
+
+  if (hasFunctionTools && hasProviderDefinedTools) {
+    toolWarnings.push({
+      type: 'unsupported-tool',
+      tool: tools.find(tool => tool.type === 'function')!,
+      details:
+        'Cannot mix function tools with provider-defined tools in the same request. Please use either function tools or provider-defined tools, but not both.',
+    });
+  }
+
+  if (hasProviderDefinedTools) {
+    const googleTools: Record<string, any> = {};
+
+    const providerDefinedTools = tools.filter(
+      tool => tool.type === 'provider-defined',
+    );
+    providerDefinedTools.forEach(tool => {
+      switch (tool.id) {
+        case 'google.google_search':
+          if (isGemini2) {
+            googleTools.googleSearch = {};
+          } else if (supportsDynamicRetrieval) {
+            // For non-Gemini-2 models that don't support dynamic retrieval, use basic googleSearchRetrieval
+            googleTools.googleSearchRetrieval = {
+              dynamicRetrievalConfig: {
+                mode: tool.args.mode as
+                  | 'MODE_DYNAMIC'
+                  | 'MODE_UNSPECIFIED'
+                  | undefined,
+                dynamicThreshold: tool.args.dynamicThreshold as
+                  | number
+                  | undefined,
+              },
+            };
+          } else {
+            googleTools.googleSearchRetrieval = {};
+          }
+          break;
+        case 'google.url_context':
+          if (isGemini2) {
+            googleTools.urlContext = {};
+          } else {
+            toolWarnings.push({
+              type: 'unsupported-tool',
+              tool,
+              details:
+                'The URL context tool is not supported with other Gemini models than Gemini 2.',
+            });
+          }
+          break;
+        default:
+          toolWarnings.push({ type: 'unsupported-tool', tool });
+          break;
+      }
+    });
+
     return {
-      tools: isGemini2
-        ? { googleSearch: {} }
-        : {
-            googleSearchRetrieval:
-              !supportsDynamicRetrieval || !dynamicRetrievalConfig
-                ? {}
-                : { dynamicRetrievalConfig },
-          },
+      tools: Object.keys(googleTools).length > 0 ? googleTools : undefined,
       toolConfig: undefined,
       toolWarnings,
     };
   }
 
-  if (tools == null) {
-    return { tools: undefined, toolConfig: undefined, toolWarnings };
-  }
-
   const functionDeclarations = [];
   for (const tool of tools) {
-    if (tool.type === 'provider-defined') {
-      toolWarnings.push({ type: 'unsupported-tool', tool });
-    } else {
-      functionDeclarations.push({
-        name: tool.name,
-        description: tool.description ?? '',
-        parameters: convertJSONSchemaToOpenAPISchema(tool.inputSchema),
-      });
+    switch (tool.type) {
+      case 'function':
+        functionDeclarations.push({
+          name: tool.name,
+          description: tool.description ?? '',
+          parameters: convertJSONSchemaToOpenAPISchema(tool.inputSchema),
+        });
+        break;
+      default:
+        toolWarnings.push({ type: 'unsupported-tool', tool });
+        break;
     }
   }
 
diff --git a/packages/google/src/google-provider.test.ts b/packages/google/src/google-provider.test.ts
index 9bb0626ace7e..d359e615fdaf 100644
--- a/packages/google/src/google-provider.test.ts
+++ b/packages/google/src/google-provider.test.ts
@@ -2,12 +2,14 @@ import { describe, it, expect, beforeEach, vi } from 'vitest';
 import { createGoogleGenerativeAI } from './google-provider';
 import { GoogleGenerativeAILanguageModel } from './google-generative-ai-language-model';
 import { GoogleGenerativeAIEmbeddingModel } from './google-generative-ai-embedding-model';
+import { GoogleGenerativeAIImageModel } from './google-generative-ai-image-model';
 
 // Mock the imported modules
 vi.mock('@ai-sdk/provider-utils', () => ({
   loadApiKey: vi.fn().mockImplementation(({ apiKey }) => apiKey),
   generateId: vi.fn().mockReturnValue('mock-id'),
   withoutTrailingSlash: vi.fn().mockImplementation(url => url),
+  createProviderDefinedToolFactory: vi.fn(),
 }));
 
 vi.mock('./google-generative-ai-language-model', () => ({
@@ -17,6 +19,9 @@ vi.mock('./google-generative-ai-language-model', () => ({
 vi.mock('./google-generative-ai-embedding-model', () => ({
   GoogleGenerativeAIEmbeddingModel: vi.fn(),
 }));
+vi.mock('./google-generative-ai-image-model', () => ({
+  GoogleGenerativeAIImageModel: vi.fn(),
+}));
 
 describe('google-provider', () => {
   beforeEach(() => {
@@ -132,6 +137,43 @@ describe('google-provider', () => {
     );
   });
 
+  it('should create an image model with default settings', () => {
+    const provider = createGoogleGenerativeAI({
+      apiKey: 'test-api-key',
+    });
+    provider.image('imagen-3.0-generate-002');
+
+    expect(GoogleGenerativeAIImageModel).toHaveBeenCalledWith(
+      'imagen-3.0-generate-002',
+      {},
+      expect.objectContaining({
+        provider: 'google.generative-ai',
+        headers: expect.any(Function),
+        baseURL: 'https://generativelanguage.googleapis.com/v1beta',
+      }),
+    );
+  });
+
+  it('should create an image model with custom maxImagesPerCall', () => {
+    const provider = createGoogleGenerativeAI({
+      apiKey: 'test-api-key',
+    });
+    const imageSettings = {
+      maxImagesPerCall: 3,
+    };
+    provider.image('imagen-3.0-generate-002', imageSettings);
+
+    expect(GoogleGenerativeAIImageModel).toHaveBeenCalledWith(
+      'imagen-3.0-generate-002',
+      imageSettings,
+      expect.objectContaining({
+        provider: 'google.generative-ai',
+        headers: expect.any(Function),
+        baseURL: 'https://generativelanguage.googleapis.com/v1beta',
+      }),
+    );
+  });
+
   it('should support deprecated methods', () => {
     const provider = createGoogleGenerativeAI({
       apiKey: 'test-api-key',
diff --git a/packages/google/src/google-provider.ts b/packages/google/src/google-provider.ts
index 9847186c23d2..da6ea5a4cb7f 100644
--- a/packages/google/src/google-provider.ts
+++ b/packages/google/src/google-provider.ts
@@ -1,8 +1,8 @@
 import {
   EmbeddingModelV2,
   LanguageModelV2,
-  NoSuchModelError,
   ProviderV2,
+  ImageModelV2,
 } from '@ai-sdk/provider';
 import {
   FetchFunction,
@@ -14,6 +14,15 @@ import { GoogleGenerativeAIEmbeddingModel } from './google-generative-ai-embeddi
 import { GoogleGenerativeAIEmbeddingModelId } from './google-generative-ai-embedding-options';
 import { GoogleGenerativeAILanguageModel } from './google-generative-ai-language-model';
 import { GoogleGenerativeAIModelId } from './google-generative-ai-options';
+import { googleTools } from './google-tools';
+
+import {
+  GoogleGenerativeAIImageSettings,
+  GoogleGenerativeAIImageModelId,
+} from './google-generative-ai-image-settings';
+import { GoogleGenerativeAIImageModel } from './google-generative-ai-image-model';
+
+import { isSupportedFileUrl } from './google-supported-file-url';
 
 export interface GoogleGenerativeAIProvider extends ProviderV2 {
   (modelId: GoogleGenerativeAIModelId): LanguageModelV2;
@@ -22,6 +31,14 @@ export interface GoogleGenerativeAIProvider extends ProviderV2 {
 
   chat(modelId: GoogleGenerativeAIModelId): LanguageModelV2;
 
+  /**
+Creates a model for image generation.
+ */
+  image(
+    modelId: GoogleGenerativeAIImageModelId,
+    settings?: GoogleGenerativeAIImageSettings,
+  ): ImageModelV2;
+
   /**
    * @deprecated Use `chat()` instead.
    */
@@ -44,6 +61,8 @@ export interface GoogleGenerativeAIProvider extends ProviderV2 {
   textEmbeddingModel(
     modelId: GoogleGenerativeAIEmbeddingModelId,
   ): EmbeddingModelV2<string>;
+
+  tools: typeof googleTools;
 }
 
 export interface GoogleGenerativeAIProviderSettings {
@@ -119,6 +138,17 @@ export function createGoogleGenerativeAI(
       fetch: options.fetch,
     });
 
+  const createImageModel = (
+    modelId: GoogleGenerativeAIImageModelId,
+    settings: GoogleGenerativeAIImageSettings = {},
+  ) =>
+    new GoogleGenerativeAIImageModel(modelId, settings, {
+      provider: 'google.generative-ai',
+      baseURL,
+      headers: getHeaders,
+      fetch: options.fetch,
+    });
+
   const provider = function (modelId: GoogleGenerativeAIModelId) {
     if (new.target) {
       throw new Error(
@@ -135,12 +165,10 @@ export function createGoogleGenerativeAI(
   provider.embedding = createEmbeddingModel;
   provider.textEmbedding = createEmbeddingModel;
   provider.textEmbeddingModel = createEmbeddingModel;
-
-  provider.imageModel = (modelId: string) => {
-    throw new NoSuchModelError({ modelId, modelType: 'imageModel' });
-  };
-
-  return provider;
+  provider.image = createImageModel;
+  provider.imageModel = createImageModel;
+  provider.tools = googleTools;
+  return provider as GoogleGenerativeAIProvider;
 }
 
 /**
diff --git a/packages/google/src/google-tools.ts b/packages/google/src/google-tools.ts
new file mode 100644
index 000000000000..e9ad562b86f2
--- /dev/null
+++ b/packages/google/src/google-tools.ts
@@ -0,0 +1,16 @@
+import { googleSearch } from './tool/google-search';
+import { urlContext } from './tool/url-context';
+
+export const googleTools = {
+  /**
+   * Creates a Google search tool that gives Google direct access to real-time web content.
+   * Must have name "google_search".
+   */
+  googleSearch,
+
+  /**
+   * Creates a URL context tool that gives Google direct access to real-time web content.
+   * Must have name "url_context".
+   */
+  urlContext,
+};
diff --git a/packages/google/src/index.ts b/packages/google/src/index.ts
index 29ef63a662cf..13cba753e25b 100644
--- a/packages/google/src/index.ts
+++ b/packages/google/src/index.ts
@@ -1,6 +1,7 @@
 export type { GoogleErrorData } from './google-error';
 export type { GoogleGenerativeAIProviderOptions } from './google-generative-ai-options';
 export type { GoogleGenerativeAIProviderMetadata } from './google-generative-ai-prompt';
+export type { GoogleGenerativeAIImageProviderOptions } from './google-generative-ai-image-model';
 export { createGoogleGenerativeAI, google } from './google-provider';
 export type {
   GoogleGenerativeAIProvider,
diff --git a/packages/google/src/internal/index.ts b/packages/google/src/internal/index.ts
index 431754b60be0..ce77a97efd1b 100644
--- a/packages/google/src/internal/index.ts
+++ b/packages/google/src/internal/index.ts
@@ -1 +1,3 @@
 export * from '../google-generative-ai-language-model';
+export { googleTools } from '../google-tools';
+export type { GoogleGenerativeAIModelId } from '../google-generative-ai-options';
diff --git a/packages/google/src/tool/google-search.ts b/packages/google/src/tool/google-search.ts
new file mode 100644
index 000000000000..671c2a9e0dae
--- /dev/null
+++ b/packages/google/src/tool/google-search.ts
@@ -0,0 +1,69 @@
+import { createProviderDefinedToolFactory } from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+
+// https://ai.google.dev/gemini-api/docs/google-search
+// https://ai.google.dev/api/generate-content#GroundingSupport
+// https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/grounding-with-google-search
+
+export const groundingChunkSchema = z.object({
+  web: z.object({ uri: z.string(), title: z.string() }).nullish(),
+  retrievedContext: z.object({ uri: z.string(), title: z.string() }).nullish(),
+});
+
+export const groundingMetadataSchema = z.object({
+  webSearchQueries: z.array(z.string()).nullish(),
+  retrievalQueries: z.array(z.string()).nullish(),
+  searchEntryPoint: z.object({ renderedContent: z.string() }).nullish(),
+  groundingChunks: z.array(groundingChunkSchema).nullish(),
+  groundingSupports: z
+    .array(
+      z.object({
+        segment: z.object({
+          startIndex: z.number().nullish(),
+          endIndex: z.number().nullish(),
+          text: z.string().nullish(),
+        }),
+        segment_text: z.string().nullish(),
+        groundingChunkIndices: z.array(z.number()).nullish(),
+        supportChunkIndices: z.array(z.number()).nullish(),
+        confidenceScores: z.array(z.number()).nullish(),
+        confidenceScore: z.array(z.number()).nullish(),
+      }),
+    )
+    .nullish(),
+  retrievalMetadata: z
+    .union([
+      z.object({
+        webDynamicRetrievalScore: z.number(),
+      }),
+      z.object({}),
+    ])
+    .nullish(),
+});
+
+export const googleSearch = createProviderDefinedToolFactory<
+  {},
+  {
+    /**
+     * The mode of the predictor to be used in dynamic retrieval. The following modes are supported:
+     *  - MODE_DYNAMIC: Run retrieval only when system decides it is necessary
+     *  - MODE_UNSPECIFIED: Always trigger retrieval
+     * @default MODE_UNSPECIFIED
+     */
+    mode?: 'MODE_DYNAMIC' | 'MODE_UNSPECIFIED';
+
+    /**
+     * The threshold to be used in dynamic retrieval (if not set, a system default value is used).
+     */
+    dynamicThreshold?: number;
+  }
+>({
+  id: 'google.google_search',
+  name: 'google_search',
+  inputSchema: z.object({
+    mode: z
+      .enum(['MODE_DYNAMIC', 'MODE_UNSPECIFIED'])
+      .default('MODE_UNSPECIFIED'),
+    dynamicThreshold: z.number().default(1),
+  }),
+});
diff --git a/packages/google/src/tool/url-context.ts b/packages/google/src/tool/url-context.ts
new file mode 100644
index 000000000000..0e1f31cb65d9
--- /dev/null
+++ b/packages/google/src/tool/url-context.ts
@@ -0,0 +1,23 @@
+import { createProviderDefinedToolFactory } from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+
+// https://ai.google.dev/api/generate-content#UrlRetrievalMetadata
+const urlMetadataSchema = z.object({
+  retrievedUrl: z.string(),
+  urlRetrievalStatus: z.string(),
+});
+
+export const urlContextMetadataSchema = z.object({
+  urlMetadata: z.array(urlMetadataSchema),
+});
+
+export const urlContext = createProviderDefinedToolFactory<
+  {
+    // Url context does not have any input schema, it will directly use the url from the prompt
+  },
+  {}
+>({
+  id: 'google.url_context',
+  name: 'url_context',
+  inputSchema: z.object({}),
+});
diff --git a/packages/groq/CHANGELOG.md b/packages/groq/CHANGELOG.md
index 8475d17d7112..923a06536fdf 100644
--- a/packages/groq/CHANGELOG.md
+++ b/packages/groq/CHANGELOG.md
@@ -1,5 +1,47 @@
 # @ai-sdk/groq
 
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- ae3a4fd: feat(provider/groq): add structured outputs support
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- e0d9541: feat: add kimi k2 model via groq
+
+## 2.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 2.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/groq/package.json b/packages/groq/package.json
index b2b5747dbfb3..eb0e61753255 100644
--- a/packages/groq/package.json
+++ b/packages/groq/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/groq",
-  "version": "2.0.0-beta.2",
+  "version": "2.0.0-beta.8",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/groq/src/groq-chat-language-model.test.ts b/packages/groq/src/groq-chat-language-model.test.ts
index 3025868b60de..bddf6b5e0e6c 100644
--- a/packages/groq/src/groq-chat-language-model.test.ts
+++ b/packages/groq/src/groq-chat-language-model.test.ts
@@ -380,7 +380,7 @@ describe('doGenerate', () => {
     `);
   });
 
-  it('should pass response format information', async () => {
+  it('should pass response format information as json_schema when structuredOutputs enabled by default', async () => {
     prepareJsonResponse({ content: '{"value":"Spark"}' });
 
     const model = provider('gemma2-9b-it');
@@ -401,6 +401,52 @@ describe('doGenerate', () => {
       prompt: TEST_PROMPT,
     });
 
+    expect(await server.calls[0].requestBodyJson).toStrictEqual({
+      model: 'gemma2-9b-it',
+      messages: [{ role: 'user', content: 'Hello' }],
+      response_format: {
+        type: 'json_schema',
+        json_schema: {
+          name: 'test-name',
+          description: 'test description',
+          schema: {
+            type: 'object',
+            properties: { value: { type: 'string' } },
+            required: ['value'],
+            additionalProperties: false,
+            $schema: 'http://json-schema.org/draft-07/schema#',
+          },
+        },
+      },
+    });
+  });
+
+  it('should pass response format information as json_object when structuredOutputs explicitly disabled', async () => {
+    prepareJsonResponse({ content: '{"value":"Spark"}' });
+
+    const model = provider('gemma2-9b-it');
+
+    const { warnings } = await model.doGenerate({
+      providerOptions: {
+        groq: {
+          structuredOutputs: false,
+        },
+      },
+      responseFormat: {
+        type: 'json',
+        name: 'test-name',
+        description: 'test description',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+          additionalProperties: false,
+          $schema: 'http://json-schema.org/draft-07/schema#',
+        },
+      },
+      prompt: TEST_PROMPT,
+    });
+
     expect(await server.calls[0].requestBodyJson).toStrictEqual({
       model: 'gemma2-9b-it',
       messages: [{ role: 'user', content: 'Hello' }],
@@ -408,6 +454,245 @@ describe('doGenerate', () => {
         type: 'json_object',
       },
     });
+
+    expect(warnings).toEqual([
+      {
+        details:
+          'JSON response format schema is only supported with structuredOutputs',
+        setting: 'responseFormat',
+        type: 'unsupported-setting',
+      },
+    ]);
+  });
+
+  it('should use json_schema format when structuredOutputs explicitly enabled', async () => {
+    prepareJsonResponse({ content: '{"value":"Spark"}' });
+
+    const model = provider('gemma2-9b-it');
+
+    await model.doGenerate({
+      providerOptions: {
+        groq: {
+          structuredOutputs: true,
+        },
+      },
+      responseFormat: {
+        type: 'json',
+        name: 'test-name',
+        description: 'test description',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+          additionalProperties: false,
+          $schema: 'http://json-schema.org/draft-07/schema#',
+        },
+      },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(await server.calls[0].requestBodyJson).toStrictEqual({
+      model: 'gemma2-9b-it',
+      messages: [{ role: 'user', content: 'Hello' }],
+      response_format: {
+        type: 'json_schema',
+        json_schema: {
+          name: 'test-name',
+          description: 'test description',
+          schema: {
+            type: 'object',
+            properties: { value: { type: 'string' } },
+            required: ['value'],
+            additionalProperties: false,
+            $schema: 'http://json-schema.org/draft-07/schema#',
+          },
+        },
+      },
+    });
+  });
+
+  it('should allow explicit structuredOutputs override', async () => {
+    prepareJsonResponse({ content: '{"value":"Spark"}' });
+
+    const model = provider('gemma2-9b-it');
+
+    await model.doGenerate({
+      providerOptions: {
+        groq: {
+          structuredOutputs: true,
+        },
+      },
+      responseFormat: {
+        type: 'json',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+          additionalProperties: false,
+          $schema: 'http://json-schema.org/draft-07/schema#',
+        },
+      },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(await server.calls[0].requestBodyJson).toStrictEqual({
+      model: 'gemma2-9b-it',
+      messages: [{ role: 'user', content: 'Hello' }],
+      response_format: {
+        type: 'json_schema',
+        json_schema: {
+          name: 'response',
+          schema: {
+            type: 'object',
+            properties: { value: { type: 'string' } },
+            required: ['value'],
+            additionalProperties: false,
+            $schema: 'http://json-schema.org/draft-07/schema#',
+          },
+        },
+      },
+    });
+  });
+
+  it('should handle structured outputs with Kimi K2 model', async () => {
+    prepareJsonResponse({
+      content:
+        '{"recipe":{"name":"Spaghetti Aglio e Olio","ingredients":["spaghetti","garlic","olive oil","parmesan"],"instructions":["Boil pasta","Sauté garlic","Combine"]}}',
+    });
+
+    const kimiModel = provider('moonshotai/kimi-k2-instruct');
+
+    const result = await kimiModel.doGenerate({
+      providerOptions: {
+        groq: {
+          structuredOutputs: true,
+        },
+      },
+      responseFormat: {
+        type: 'json',
+        name: 'recipe_response',
+        description: 'A recipe with ingredients and instructions',
+        schema: {
+          type: 'object',
+          properties: {
+            recipe: {
+              type: 'object',
+              properties: {
+                name: { type: 'string' },
+                ingredients: { type: 'array', items: { type: 'string' } },
+                instructions: { type: 'array', items: { type: 'string' } },
+              },
+              required: ['name', 'ingredients', 'instructions'],
+            },
+          },
+          required: ['recipe'],
+          additionalProperties: false,
+          $schema: 'http://json-schema.org/draft-07/schema#',
+        },
+      },
+      prompt: [
+        {
+          role: 'user',
+          content: [{ type: 'text', text: 'Generate a simple pasta recipe' }],
+        },
+      ],
+    });
+
+    expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+      {
+        "messages": [
+          {
+            "content": "Generate a simple pasta recipe",
+            "role": "user",
+          },
+        ],
+        "model": "moonshotai/kimi-k2-instruct",
+        "response_format": {
+          "json_schema": {
+            "description": "A recipe with ingredients and instructions",
+            "name": "recipe_response",
+            "schema": {
+              "$schema": "http://json-schema.org/draft-07/schema#",
+              "additionalProperties": false,
+              "properties": {
+                "recipe": {
+                  "properties": {
+                    "ingredients": {
+                      "items": {
+                        "type": "string",
+                      },
+                      "type": "array",
+                    },
+                    "instructions": {
+                      "items": {
+                        "type": "string",
+                      },
+                      "type": "array",
+                    },
+                    "name": {
+                      "type": "string",
+                    },
+                  },
+                  "required": [
+                    "name",
+                    "ingredients",
+                    "instructions",
+                  ],
+                  "type": "object",
+                },
+              },
+              "required": [
+                "recipe",
+              ],
+              "type": "object",
+            },
+          },
+          "type": "json_schema",
+        },
+      }
+    `);
+
+    expect(result.content).toMatchInlineSnapshot(`
+      [
+        {
+          "text": "{"recipe":{"name":"Spaghetti Aglio e Olio","ingredients":["spaghetti","garlic","olive oil","parmesan"],"instructions":["Boil pasta","Sauté garlic","Combine"]}}",
+          "type": "text",
+        },
+      ]
+    `);
+  });
+
+  it('should include warnings when structured outputs explicitly disabled but schema provided', async () => {
+    prepareJsonResponse({ content: '{"value":"test"}' });
+
+    const { warnings } = await model.doGenerate({
+      providerOptions: {
+        groq: {
+          structuredOutputs: false,
+        },
+      },
+      responseFormat: {
+        type: 'json',
+        schema: {
+          type: 'object',
+          properties: { value: { type: 'string' } },
+          required: ['value'],
+          additionalProperties: false,
+          $schema: 'http://json-schema.org/draft-07/schema#',
+        },
+      },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(warnings).toMatchInlineSnapshot(`
+      [
+        {
+          "details": "JSON response format schema is only supported with structuredOutputs",
+          "setting": "responseFormat",
+          "type": "unsupported-setting",
+        },
+      ]
+    `);
   });
 
   it('should send request body', async () => {
diff --git a/packages/groq/src/groq-chat-language-model.ts b/packages/groq/src/groq-chat-language-model.ts
index 21c0d43f7c56..7bf42fa39e2d 100644
--- a/packages/groq/src/groq-chat-language-model.ts
+++ b/packages/groq/src/groq-chat-language-model.ts
@@ -4,6 +4,7 @@ import {
   LanguageModelV2CallWarning,
   LanguageModelV2Content,
   LanguageModelV2FinishReason,
+  LanguageModelV2Prompt,
   LanguageModelV2StreamPart,
   LanguageModelV2Usage,
   SharedV2ProviderMetadata,
@@ -74,6 +75,14 @@ export class GroqChatLanguageModel implements LanguageModelV2 {
   }) {
     const warnings: LanguageModelV2CallWarning[] = [];
 
+    const groqOptions = await parseProviderOptions({
+      provider: 'groq',
+      providerOptions,
+      schema: groqProviderOptions,
+    });
+
+    const structuredOutputs = groqOptions?.structuredOutputs ?? true;
+
     if (topK != null) {
       warnings.push({
         type: 'unsupported-setting',
@@ -82,23 +91,18 @@ export class GroqChatLanguageModel implements LanguageModelV2 {
     }
 
     if (
-      responseFormat != null &&
-      responseFormat.type === 'json' &&
-      responseFormat.schema != null
+      responseFormat?.type === 'json' &&
+      responseFormat.schema != null &&
+      !structuredOutputs
     ) {
       warnings.push({
         type: 'unsupported-setting',
         setting: 'responseFormat',
-        details: 'JSON response format schema is not supported',
+        details:
+          'JSON response format schema is only supported with structuredOutputs',
       });
     }
 
-    const groqOptions = await parseProviderOptions({
-      provider: 'groq',
-      providerOptions,
-      schema: groqProviderOptions,
-    });
-
     const {
       tools: groqTools,
       toolChoice: groqToolChoice,
@@ -125,9 +129,17 @@ export class GroqChatLanguageModel implements LanguageModelV2 {
 
         // response format:
         response_format:
-          // json object response format is not supported for streaming:
-          stream === false && responseFormat?.type === 'json'
-            ? { type: 'json_object' }
+          responseFormat?.type === 'json'
+            ? structuredOutputs && responseFormat.schema != null
+              ? {
+                  type: 'json_schema',
+                  json_schema: {
+                    schema: responseFormat.schema,
+                    name: responseFormat.name ?? 'response',
+                    description: responseFormat.description,
+                  },
+                }
+              : { type: 'json_object' }
             : undefined,
 
         // provider options:
diff --git a/packages/groq/src/groq-chat-options.ts b/packages/groq/src/groq-chat-options.ts
index 5723ff50f172..4aab177007d9 100644
--- a/packages/groq/src/groq-chat-options.ts
+++ b/packages/groq/src/groq-chat-options.ts
@@ -4,19 +4,25 @@ import { z } from 'zod/v4';
 export type GroqChatModelId =
   // production models
   | 'gemma2-9b-it'
-  | 'llama-3.3-70b-versatile'
   | 'llama-3.1-8b-instant'
+  | 'llama-3.3-70b-versatile'
+  | 'meta-llama/llama-guard-4-12b'
+  // preview models (selection)
+  | 'deepseek-r1-distill-llama-70b'
+  | 'meta-llama/llama-4-maverick-17b-128e-instruct'
+  | 'meta-llama/llama-4-scout-17b-16e-instruct'
+  | 'meta-llama/llama-prompt-guard-2-22m'
+  | 'meta-llama/llama-prompt-guard-2-86m'
+  | 'mistral-saba-24b'
+  | 'moonshotai/kimi-k2-instruct'
+  | 'qwen/qwen3-32b'
   | 'llama-guard-3-8b'
   | 'llama3-70b-8192'
   | 'llama3-8b-8192'
   | 'mixtral-8x7b-32768'
-  // preview models (selection)
-  | 'meta-llama/llama-4-scout-17b-16e-instruct'
   | 'qwen-qwq-32b'
-  | 'mistral-saba-24b'
   | 'qwen-2.5-32b'
   | 'deepseek-r1-distill-qwen-32b'
-  | 'deepseek-r1-distill-llama-70b'
   | (string & {});
 
 export const groqProviderOptions = z.object({
@@ -32,6 +38,13 @@ export const groqProviderOptions = z.object({
    * monitor and detect abuse. Learn more.
    */
   user: z.string().optional(),
+
+  /**
+   * Whether to use structured outputs.
+   *
+   * @default true
+   */
+  structuredOutputs: z.boolean().optional(),
 });
 
 export type GroqProviderOptions = z.infer<typeof groqProviderOptions>;
diff --git a/packages/hume/CHANGELOG.md b/packages/hume/CHANGELOG.md
index 80e6b251974b..394ab1a7ce5b 100644
--- a/packages/hume/CHANGELOG.md
+++ b/packages/hume/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/hume
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/hume/README.md b/packages/hume/README.md
index 9f663114806a..5eca6465d7f6 100644
--- a/packages/hume/README.md
+++ b/packages/hume/README.md
@@ -13,7 +13,7 @@ npm i @ai-sdk/hume
 
 ## Provider Instance
 
-You can import the default provider instance `lmnt` from `@ai-sdk/lmnt`:
+You can import the default provider instance `hume` from `@ai-sdk/hume`:
 
 ```ts
 import { hume } from '@ai-sdk/hume';
diff --git a/packages/hume/package.json b/packages/hume/package.json
index e143f58ed8ef..37712baa8dcb 100644
--- a/packages/hume/package.json
+++ b/packages/hume/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/hume",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/langchain/CHANGELOG.md b/packages/langchain/CHANGELOG.md
index 25bad5eea495..5256666e435d 100644
--- a/packages/langchain/CHANGELOG.md
+++ b/packages/langchain/CHANGELOG.md
@@ -1,5 +1,197 @@
 # @ai-sdk/langchain
 
+## 1.0.0-beta.28
+
+### Patch Changes
+
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - ai@5.0.0-beta.28
+
+## 1.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 1.0.0-beta.26
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 1.0.0-beta.25
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 1.0.0-beta.24
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+
+## 1.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 1.0.0-beta.22
+
+### Patch Changes
+
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+
+## 1.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 1.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 1.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+
+## 1.0.0-beta.18
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 1.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 1.0.0-beta.16
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 1.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 1.0.0-beta.14
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 1.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 1.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 1.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 1.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/langchain/package.json b/packages/langchain/package.json
index 7c5605214a50..c9f3ba844cc5 100644
--- a/packages/langchain/package.json
+++ b/packages/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/langchain",
-  "version": "1.0.0-beta.5",
+  "version": "1.0.0-beta.28",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/packages/langchain/src/langchain-adapter.ts b/packages/langchain/src/langchain-adapter.ts
index c3fb6dabe6da..f79f95a871cd 100644
--- a/packages/langchain/src/langchain-adapter.ts
+++ b/packages/langchain/src/langchain-adapter.ts
@@ -1,4 +1,4 @@
-import { UIMessageStreamPart } from 'ai';
+import { UIMessageChunk } from 'ai';
 import {
   createCallbacksTransformer,
   StreamCallbacks,
@@ -88,7 +88,7 @@ export function toUIMessageStream(
     )
     .pipeThrough(createCallbacksTransformer(callbacks))
     .pipeThrough(
-      new TransformStream<string, UIMessageStreamPart>({
+      new TransformStream<string, UIMessageChunk>({
         start: async controller => {
           controller.enqueue({ type: 'text-start', id: '1' });
         },
diff --git a/packages/llamaindex/CHANGELOG.md b/packages/llamaindex/CHANGELOG.md
index 4d7a54a4ac8e..22ef75d4ff1a 100644
--- a/packages/llamaindex/CHANGELOG.md
+++ b/packages/llamaindex/CHANGELOG.md
@@ -1,5 +1,197 @@
 # @ai-sdk/llamaindex
 
+## 1.0.0-beta.28
+
+### Patch Changes
+
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - ai@5.0.0-beta.28
+
+## 1.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 1.0.0-beta.26
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 1.0.0-beta.25
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 1.0.0-beta.24
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+
+## 1.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 1.0.0-beta.22
+
+### Patch Changes
+
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+
+## 1.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 1.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 1.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+
+## 1.0.0-beta.18
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 1.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 1.0.0-beta.16
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 1.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 1.0.0-beta.14
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 1.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 1.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 1.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 1.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/llamaindex/package.json b/packages/llamaindex/package.json
index 7b183bbbc022..ce8ff1ab8b0f 100644
--- a/packages/llamaindex/package.json
+++ b/packages/llamaindex/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/llamaindex",
-  "version": "1.0.0-beta.5",
+  "version": "1.0.0-beta.28",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/packages/llamaindex/src/llamaindex-adapter.ts b/packages/llamaindex/src/llamaindex-adapter.ts
index 13f2687d55b8..48bfc7d3899f 100644
--- a/packages/llamaindex/src/llamaindex-adapter.ts
+++ b/packages/llamaindex/src/llamaindex-adapter.ts
@@ -1,4 +1,4 @@
-import { UIMessageStreamPart } from 'ai';
+import { UIMessageChunk } from 'ai';
 import { convertAsyncIteratorToReadableStream } from 'ai/internal';
 import {
   createCallbacksTransformer,
@@ -25,7 +25,7 @@ export function toUIMessageStream(
     )
     .pipeThrough(createCallbacksTransformer(callbacks))
     .pipeThrough(
-      new TransformStream<string, UIMessageStreamPart>({
+      new TransformStream<string, UIMessageChunk>({
         start: async controller => {
           controller.enqueue({ type: 'text-start', id: '1' });
         },
diff --git a/packages/lmnt/CHANGELOG.md b/packages/lmnt/CHANGELOG.md
index 07fc984d07bc..68deaad9cd6c 100644
--- a/packages/lmnt/CHANGELOG.md
+++ b/packages/lmnt/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/lmnt
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/lmnt/package.json b/packages/lmnt/package.json
index aa8762777ad2..dd728e1edd47 100644
--- a/packages/lmnt/package.json
+++ b/packages/lmnt/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/lmnt",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/luma/CHANGELOG.md b/packages/luma/CHANGELOG.md
index 25bffe39f7c1..de2b8a3692ee 100644
--- a/packages/luma/CHANGELOG.md
+++ b/packages/luma/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/luma
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/luma/package.json b/packages/luma/package.json
index 49b4573dd156..1d92ca649fa1 100644
--- a/packages/luma/package.json
+++ b/packages/luma/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/luma",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/mistral/CHANGELOG.md b/packages/mistral/CHANGELOG.md
index 9f166c8c2c21..414c4b3aca8e 100644
--- a/packages/mistral/CHANGELOG.md
+++ b/packages/mistral/CHANGELOG.md
@@ -1,5 +1,41 @@
 # @ai-sdk/mistral
 
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.3
+
+### Patch Changes
+
+- c3b7069: add Mistral Medium 3 model support
+
 ## 2.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/mistral/package.json b/packages/mistral/package.json
index 42f4f28563d5..f9476119494f 100644
--- a/packages/mistral/package.json
+++ b/packages/mistral/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/mistral",
-  "version": "2.0.0-beta.2",
+  "version": "2.0.0-beta.7",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/mistral/src/mistral-chat-options.ts b/packages/mistral/src/mistral-chat-options.ts
index d33b707ef603..4a0fc36ae0fb 100644
--- a/packages/mistral/src/mistral-chat-options.ts
+++ b/packages/mistral/src/mistral-chat-options.ts
@@ -6,6 +6,8 @@ export type MistralChatModelId =
   | 'ministral-3b-latest'
   | 'ministral-8b-latest'
   | 'mistral-large-latest'
+  | 'mistral-medium-latest'
+  | 'mistral-medium-2505'
   | 'mistral-small-latest'
   | 'pixtral-large-latest'
   // reasoning models
diff --git a/packages/openai-compatible/CHANGELOG.md b/packages/openai-compatible/CHANGELOG.md
index cb3e75c1c9e3..0fa3122360ba 100644
--- a/packages/openai-compatible/CHANGELOG.md
+++ b/packages/openai-compatible/CHANGELOG.md
@@ -1,5 +1,54 @@
 # @ai-sdk/openai-compatible
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- 737f1e2: Add (optional) includeUsage option to createOpenAICompatible
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- 281bb1c: fix (provider/openai-incompatible): support empty tool calls
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 1b101e1: feat (provider/openai-compatible): allow providers that do not specify function type
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- 7b069ed: allow any string as reasoningEffort
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/openai-compatible/package.json b/packages/openai-compatible/package.json
index ea07cfb687a7..6adc5d1fe9d8 100644
--- a/packages/openai-compatible/package.json
+++ b/packages/openai-compatible/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/openai-compatible",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -47,10 +47,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/openai-compatible/src/openai-compatible-chat-language-model.test.ts b/packages/openai-compatible/src/openai-compatible-chat-language-model.test.ts
index ed81e093399c..eb5e689d62cf 100644
--- a/packages/openai-compatible/src/openai-compatible-chat-language-model.test.ts
+++ b/packages/openai-compatible/src/openai-compatible-chat-language-model.test.ts
@@ -1608,6 +1608,84 @@ describe('doStream', () => {
     `);
   });
 
+  it('should stream empty tool call that is sent in one chunk', async () => {
+    server.urls['https://my.api.com/v1/chat/completions'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        `data: {"id":"chatcmpl-e7f8e220-656c-4455-a132-dacfc1370798","object":"chat.completion.chunk","created":1711357598,"model":"grok-beta",` +
+          `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"role":"assistant","content":null,` +
+          `"tool_calls":[{"index":0,"id":"call_O17Uplv4lJvD6DVdIvFFeRMw","type":"function","function":{"name":"test-tool","arguments":""}}]},` +
+          `"finish_reason":null}]}\n\n`,
+        `data: {"id":"chatcmpl-e7f8e220-656c-4455-a132-dacfc1370798","object":"chat.completion.chunk","created":1729171479,"model":"grok-beta",` +
+          `"system_fingerprint":"fp_10c08bf97d","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}],` +
+          `"usage":{"queue_time":0.061348671,"prompt_tokens":18,"prompt_time":0.000211569,` +
+          `"completion_tokens":439,"completion_time":0.798181818,"total_tokens":457,"total_time":0.798393387}}\n\n`,
+        'data: [DONE]\n\n',
+      ],
+    };
+
+    const { stream } = await model.doStream({
+      tools: [
+        {
+          type: 'function',
+          name: 'test-tool',
+          inputSchema: {
+            type: 'object',
+            properties: {},
+            additionalProperties: false,
+            $schema: 'http://json-schema.org/draft-07/schema#',
+          },
+        },
+      ],
+      prompt: TEST_PROMPT,
+      includeRawChunks: false,
+    });
+
+    expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+      [
+        {
+          "type": "stream-start",
+          "warnings": [],
+        },
+        {
+          "id": "chatcmpl-e7f8e220-656c-4455-a132-dacfc1370798",
+          "modelId": "grok-beta",
+          "timestamp": 2024-03-25T09:06:38.000Z,
+          "type": "response-metadata",
+        },
+        {
+          "id": "call_O17Uplv4lJvD6DVdIvFFeRMw",
+          "toolName": "test-tool",
+          "type": "tool-input-start",
+        },
+        {
+          "id": "call_O17Uplv4lJvD6DVdIvFFeRMw",
+          "type": "tool-input-end",
+        },
+        {
+          "input": "",
+          "toolCallId": "call_O17Uplv4lJvD6DVdIvFFeRMw",
+          "toolName": "test-tool",
+          "type": "tool-call",
+        },
+        {
+          "finishReason": "tool-calls",
+          "providerMetadata": {
+            "test-provider": {},
+          },
+          "type": "finish",
+          "usage": {
+            "cachedInputTokens": undefined,
+            "inputTokens": 18,
+            "outputTokens": 439,
+            "reasoningTokens": undefined,
+            "totalTokens": 457,
+          },
+        },
+      ]
+    `);
+  });
+
   it('should handle error stream parts', async () => {
     server.urls['https://my.api.com/v1/chat/completions'].response = {
       type: 'stream-chunks',
diff --git a/packages/openai-compatible/src/openai-compatible-chat-language-model.ts b/packages/openai-compatible/src/openai-compatible-chat-language-model.ts
index 524bc2132ecc..5e0b0192ec17 100644
--- a/packages/openai-compatible/src/openai-compatible-chat-language-model.ts
+++ b/packages/openai-compatible/src/openai-compatible-chat-language-model.ts
@@ -497,13 +497,6 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
                 const index = toolCallDelta.index;
 
                 if (toolCalls[index] == null) {
-                  if (toolCallDelta.type !== 'function') {
-                    throw new InvalidResponseDataError({
-                      data: toolCallDelta,
-                      message: `Expected 'function' type.`,
-                    });
-                  }
-
                   if (toolCallDelta.id == null) {
                     throw new InvalidResponseDataError({
                       data: toolCallDelta,
@@ -621,6 +614,23 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
               controller.enqueue({ type: 'text-end', id: 'txt-0' });
             }
 
+            // go through all tool calls and send the ones that are not finished
+            for (const toolCall of toolCalls.filter(
+              toolCall => !toolCall.hasFinished,
+            )) {
+              controller.enqueue({
+                type: 'tool-input-end',
+                id: toolCall.id,
+              });
+
+              controller.enqueue({
+                type: 'tool-call',
+                toolCallId: toolCall.id ?? generateId(),
+                toolName: toolCall.function.name,
+                input: toolCall.function.arguments,
+              });
+            }
+
             const providerMetadata: SharedV2ProviderMetadata = {
               [providerOptionsName]: {},
               ...metadataExtractor?.buildMetadata(),
@@ -697,7 +707,6 @@ const OpenAICompatibleChatResponseSchema = z.object({
           .array(
             z.object({
               id: z.string().nullish(),
-              type: z.literal('function'),
               function: z.object({
                 name: z.string(),
                 arguments: z.string(),
@@ -714,7 +723,9 @@ const OpenAICompatibleChatResponseSchema = z.object({
 
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
-const createOpenAICompatibleChatChunkSchema = <ERROR_SCHEMA extends z.ZodType>(
+const createOpenAICompatibleChatChunkSchema = <
+  ERROR_SCHEMA extends z.core.$ZodType,
+>(
   errorSchema: ERROR_SCHEMA,
 ) =>
   z.union([
@@ -734,7 +745,6 @@ const createOpenAICompatibleChatChunkSchema = <ERROR_SCHEMA extends z.ZodType>(
                   z.object({
                     index: z.number(),
                     id: z.string().nullish(),
-                    type: z.literal('function').nullish(),
                     function: z.object({
                       name: z.string().nullish(),
                       arguments: z.string().nullish(),
diff --git a/packages/openai-compatible/src/openai-compatible-chat-options.ts b/packages/openai-compatible/src/openai-compatible-chat-options.ts
index d758d97409cc..88b077470c20 100644
--- a/packages/openai-compatible/src/openai-compatible-chat-options.ts
+++ b/packages/openai-compatible/src/openai-compatible-chat-options.ts
@@ -12,7 +12,7 @@ export const openaiCompatibleProviderOptions = z.object({
   /**
    * Reasoning effort for reasoning models. Defaults to `medium`.
    */
-  reasoningEffort: z.enum(['low', 'medium', 'high']).optional(),
+  reasoningEffort: z.string().optional(),
 });
 
 export type OpenAICompatibleProviderOptions = z.infer<
diff --git a/packages/openai-compatible/src/openai-compatible-completion-language-model.ts b/packages/openai-compatible/src/openai-compatible-completion-language-model.ts
index eebccea187d0..f134ad2f8812 100644
--- a/packages/openai-compatible/src/openai-compatible-completion-language-model.ts
+++ b/packages/openai-compatible/src/openai-compatible-completion-language-model.ts
@@ -362,7 +362,7 @@ const openaiCompatibleCompletionResponseSchema = z.object({
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const createOpenAICompatibleCompletionChunkSchema = <
-  ERROR_SCHEMA extends z.ZodType,
+  ERROR_SCHEMA extends z.core.$ZodType,
 >(
   errorSchema: ERROR_SCHEMA,
 ) =>
diff --git a/packages/openai-compatible/src/openai-compatible-provider.test.ts b/packages/openai-compatible/src/openai-compatible-provider.test.ts
index 7c3f57e4d5e2..0fb7445812a1 100644
--- a/packages/openai-compatible/src/openai-compatible-provider.test.ts
+++ b/packages/openai-compatible/src/openai-compatible-provider.test.ts
@@ -179,4 +179,80 @@ describe('OpenAICompatibleProvider', () => {
       );
     });
   });
+
+  describe('includeUsage setting', () => {
+    it('should pass includeUsage: true to all model types when specified in provider settings', () => {
+      const options = {
+        baseURL: 'https://api.example.com',
+        name: 'test-provider',
+        includeUsage: true,
+      };
+      const provider = createOpenAICompatible(options);
+
+      provider.chatModel('chat-model');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[0][1].includeUsage,
+      ).toBe(true);
+
+      provider.completionModel('completion-model');
+      expect(
+        OpenAICompatibleCompletionLanguageModelMock.mock.calls[0][1]
+          .includeUsage,
+      ).toBe(true);
+
+      provider('model-id');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[1][1].includeUsage,
+      ).toBe(true);
+    });
+
+    it('should pass includeUsage: false to all model types when specified in provider settings', () => {
+      const options = {
+        baseURL: 'https://api.example.com',
+        name: 'test-provider',
+        includeUsage: false,
+      };
+      const provider = createOpenAICompatible(options);
+
+      provider.chatModel('chat-model');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[0][1].includeUsage,
+      ).toBe(false);
+
+      provider.completionModel('completion-model');
+      expect(
+        OpenAICompatibleCompletionLanguageModelMock.mock.calls[0][1]
+          .includeUsage,
+      ).toBe(false);
+
+      provider('model-id');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[1][1].includeUsage,
+      ).toBe(false);
+    });
+
+    it('should pass includeUsage: undefined to all model types when not specified in provider settings', () => {
+      const options = {
+        baseURL: 'https://api.example.com',
+        name: 'test-provider',
+      };
+      const provider = createOpenAICompatible(options);
+
+      provider.chatModel('chat-model');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[0][1].includeUsage,
+      ).toBeUndefined();
+
+      provider.completionModel('completion-model');
+      expect(
+        OpenAICompatibleCompletionLanguageModelMock.mock.calls[0][1]
+          .includeUsage,
+      ).toBeUndefined();
+
+      provider('model-id');
+      expect(
+        OpenAICompatibleChatLanguageModelMock.mock.calls[1][1].includeUsage,
+      ).toBeUndefined();
+    });
+  });
 });
diff --git a/packages/openai-compatible/src/openai-compatible-provider.ts b/packages/openai-compatible/src/openai-compatible-provider.ts
index 23b7331b3f53..6b2da9cbb0fd 100644
--- a/packages/openai-compatible/src/openai-compatible-provider.ts
+++ b/packages/openai-compatible/src/openai-compatible-provider.ts
@@ -63,6 +63,11 @@ Custom fetch implementation. You can use it as a middleware to intercept request
 or to provide a custom fetch implementation for e.g. testing.
    */
   fetch?: FetchFunction;
+
+  /**
+Include usage information in streaming responses.
+   */
+  includeUsage?: boolean;
 }
 
 /**
@@ -113,16 +118,16 @@ export function createOpenAICompatible<
     createChatModel(modelId);
 
   const createChatModel = (modelId: CHAT_MODEL_IDS) =>
-    new OpenAICompatibleChatLanguageModel(
-      modelId,
-      getCommonModelConfig('chat'),
-    );
+    new OpenAICompatibleChatLanguageModel(modelId, {
+      ...getCommonModelConfig('chat'),
+      includeUsage: options.includeUsage,
+    });
 
   const createCompletionModel = (modelId: COMPLETION_MODEL_IDS) =>
-    new OpenAICompatibleCompletionLanguageModel(
-      modelId,
-      getCommonModelConfig('completion'),
-    );
+    new OpenAICompatibleCompletionLanguageModel(modelId, {
+      ...getCommonModelConfig('completion'),
+      includeUsage: options.includeUsage,
+    });
 
   const createEmbeddingModel = (modelId: EMBEDDING_MODEL_IDS) =>
     new OpenAICompatibleEmbeddingModel(modelId, {
diff --git a/packages/openai/CHANGELOG.md b/packages/openai/CHANGELOG.md
index 60c1c89926ef..98e3124b6351 100644
--- a/packages/openai/CHANGELOG.md
+++ b/packages/openai/CHANGELOG.md
@@ -1,5 +1,73 @@
 # @ai-sdk/openai
 
+## 2.0.0-beta.12
+
+### Patch Changes
+
+- d521cda: feat(openai): add file_search filters and update field names
+- 0059ee2: fix(openai): update file_search fields to match API changes
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- 0fa7414: chore (provider/openai): standardize on itemId in provider metadata
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- faea29f: fix (provider/openai): multi-step reasoning with text
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- db64cbe: fix (provider/openai): multi-step reasoning with tool calls
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- 209256d: Add missing file_search tool support to OpenAI Responses API
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- 0eee6a8: Fix streaming and reconstruction of reasoning summary parts
+- b5a0e32: fix (provider/openai): correct default for chat model strict mode
+- c7d3b2e: fix (provider/openai): push first reasoning chunk in output item added event
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- 48249c4: Do not warn if empty text is the first part of a reasoning sequence
+- e497698: fix (provider/openai): handle responses api errors
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- b3c3450: feat (provider/openai): add support for encrypted_reasoning to responses api
+- ad2a3d5: feat(provider/openai): add missing reasoning models to responses API
+
 ## 2.0.0-beta.3
 
 ### Major Changes
diff --git a/packages/openai/package.json b/packages/openai/package.json
index 9147eaee544d..f53a7acb4784 100644
--- a/packages/openai/package.json
+++ b/packages/openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/openai",
-  "version": "2.0.0-beta.3",
+  "version": "2.0.0-beta.12",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -47,10 +47,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/openai/src/openai-chat-language-model.ts b/packages/openai/src/openai-chat-language-model.ts
index 5257e21f9782..160bfd829861 100644
--- a/packages/openai/src/openai-chat-language-model.ts
+++ b/packages/openai/src/openai-chat-language-model.ts
@@ -783,10 +783,6 @@ function isReasoningModel(modelId: string) {
   return modelId.startsWith('o');
 }
 
-function isAudioModel(modelId: string) {
-  return modelId.startsWith('gpt-4o-audio-preview');
-}
-
 function supportsFlexProcessing(modelId: string) {
   return modelId.startsWith('o3') || modelId.startsWith('o4-mini');
 }
diff --git a/packages/openai/src/openai-chat-options.ts b/packages/openai/src/openai-chat-options.ts
index ca72a130df69..776ccb866d75 100644
--- a/packages/openai/src/openai-chat-options.ts
+++ b/packages/openai/src/openai-chat-options.ts
@@ -122,7 +122,7 @@ export const openaiProviderOptions = z.object({
   /**
    * Whether to use strict JSON schema validation.
    *
-   * @default true
+   * @default false
    */
   strictJsonSchema: z.boolean().optional(),
 });
diff --git a/packages/openai/src/openai-prepare-tools.test.ts b/packages/openai/src/openai-prepare-tools.test.ts
index 8ecc67b518c6..b605fa2f9607 100644
--- a/packages/openai/src/openai-prepare-tools.test.ts
+++ b/packages/openai/src/openai-prepare-tools.test.ts
@@ -66,8 +66,10 @@ it('should correctly prepare provider-defined-server tools', () => {
         name: 'file_search',
         args: {
           vectorStoreIds: ['vs_123'],
-          maxResults: 10,
-          searchType: 'semantic',
+          maxNumResults: 10,
+          ranking: {
+            ranker: 'semantic',
+          },
         },
       },
       {
@@ -92,8 +94,10 @@ it('should correctly prepare provider-defined-server tools', () => {
     {
       type: 'file_search',
       vector_store_ids: ['vs_123'],
-      max_results: 10,
-      search_type: 'semantic',
+      max_num_results: 10,
+      ranking_options: {
+        ranker: 'semantic',
+      },
     },
     {
       type: 'web_search_preview',
@@ -109,6 +113,47 @@ it('should correctly prepare provider-defined-server tools', () => {
   expect(result.toolWarnings).toEqual([]);
 });
 
+it('should correctly prepare file_search with filters', () => {
+  const result = prepareTools({
+    tools: [
+      {
+        type: 'provider-defined',
+        id: 'openai.file_search',
+        name: 'file_search',
+        args: {
+          vectorStoreIds: ['vs_123'],
+          maxNumResults: 5,
+          filters: {
+            type: 'and',
+            filters: [
+              { key: 'author', type: 'eq', value: 'John Doe' },
+              { key: 'date', type: 'gte', value: '2023-01-01' },
+            ],
+          },
+        },
+      },
+    ],
+    structuredOutputs: false,
+    strictJsonSchema: false,
+  });
+
+  expect(result.tools).toEqual([
+    {
+      type: 'file_search',
+      vector_store_ids: ['vs_123'],
+      max_num_results: 5,
+      ranking_options: undefined,
+      filters: {
+        type: 'and',
+        filters: [
+          { key: 'author', type: 'eq', value: 'John Doe' },
+          { key: 'date', type: 'gte', value: '2023-01-01' },
+        ],
+      },
+    },
+  ]);
+});
+
 it('should add warnings for unsupported tools', () => {
   const result = prepareTools({
     tools: [
diff --git a/packages/openai/src/openai-prepare-tools.ts b/packages/openai/src/openai-prepare-tools.ts
index 3e4441b61876..4b39ffc0f6f1 100644
--- a/packages/openai/src/openai-prepare-tools.ts
+++ b/packages/openai/src/openai-prepare-tools.ts
@@ -53,8 +53,11 @@ export function prepareTools({
             openaiTools.push({
               type: 'file_search',
               vector_store_ids: args.vectorStoreIds,
-              max_results: args.maxResults,
-              search_type: args.searchType,
+              max_num_results: args.maxNumResults,
+              ranking_options: args.ranking
+                ? { ranker: args.ranking.ranker }
+                : undefined,
+              filters: args.filters,
             });
             break;
           }
diff --git a/packages/openai/src/openai-types.ts b/packages/openai/src/openai-types.ts
index d26312e525e6..6cd81fd79d4e 100644
--- a/packages/openai/src/openai-types.ts
+++ b/packages/openai/src/openai-types.ts
@@ -19,8 +19,20 @@ export interface OpenAIFunctionTool {
 export interface OpenAIFileSearchTool {
   type: 'file_search';
   vector_store_ids?: string[];
-  max_results?: number;
-  search_type?: 'auto' | 'keyword' | 'semantic';
+  max_num_results?: number;
+  ranking_options?: {
+    ranker?: 'auto' | 'keyword' | 'semantic';
+  };
+  filters?:
+    | {
+        key: string;
+        type: 'eq' | 'ne' | 'gt' | 'gte' | 'lt' | 'lte';
+        value: string | number | boolean;
+      }
+    | {
+        type: 'and' | 'or';
+        filters: any[];
+      };
 }
 
 /**
diff --git a/packages/openai/src/responses/convert-to-openai-responses-messages.test.ts b/packages/openai/src/responses/convert-to-openai-responses-messages.test.ts
index 18896f15499a..f17f8e962ce1 100644
--- a/packages/openai/src/responses/convert-to-openai-responses-messages.test.ts
+++ b/packages/openai/src/responses/convert-to-openai-responses-messages.test.ts
@@ -3,7 +3,7 @@ import { convertToOpenAIResponsesMessages } from './convert-to-openai-responses-
 describe('convertToOpenAIResponsesMessages', () => {
   describe('system messages', () => {
     it('should convert system messages to system role', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [{ role: 'system', content: 'Hello' }],
         systemMessageMode: 'system',
       });
@@ -12,7 +12,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should convert system messages to developer role', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [{ role: 'system', content: 'Hello' }],
         systemMessageMode: 'developer',
       });
@@ -23,7 +23,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should remove system messages', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [{ role: 'system', content: 'Hello' }],
         systemMessageMode: 'remove',
       });
@@ -34,7 +34,7 @@ describe('convertToOpenAIResponsesMessages', () => {
 
   describe('user messages', () => {
     it('should convert messages with only a text part to a string content', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -50,7 +50,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should convert messages with image parts using URL', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -82,7 +82,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should convert messages with image parts using binary data', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -112,7 +112,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should use default mime type for binary images', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -142,7 +142,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should add image detail when specified through extension', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -180,7 +180,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     it('should convert messages with PDF file parts', async () => {
       const base64Data = 'AQIDBAU='; // Base64 encoding of pdfData
 
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -214,7 +214,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     it('should use default filename for PDF file parts when not provided', async () => {
       const base64Data = 'AQIDBAU=';
 
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'user',
@@ -247,7 +247,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     it('should throw error for unsupported file types', async () => {
       const base64Data = 'AQIDBAU=';
 
-      expect(() => {
+      await expect(
         convertToOpenAIResponsesMessages({
           prompt: [
             {
@@ -262,12 +262,12 @@ describe('convertToOpenAIResponsesMessages', () => {
             },
           ],
           systemMessageMode: 'system',
-        });
-      }).toThrow('file part media type text/plain');
+        }),
+      ).rejects.toThrow('file part media type text/plain');
     });
 
     it('should throw error for file URLs', async () => {
-      expect(() => {
+      await expect(
         convertToOpenAIResponsesMessages({
           prompt: [
             {
@@ -282,14 +282,14 @@ describe('convertToOpenAIResponsesMessages', () => {
             },
           ],
           systemMessageMode: 'system',
-        });
-      }).toThrow('PDF file parts with URLs');
+        }),
+      ).rejects.toThrow('PDF file parts with URLs');
     });
   });
 
   describe('assistant messages', () => {
     it('should convert messages with only a text part to a string content', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           { role: 'assistant', content: [{ type: 'text', text: 'Hello' }] },
         ],
@@ -305,7 +305,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should convert messages with tool call parts', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'assistant',
@@ -342,8 +342,63 @@ describe('convertToOpenAIResponsesMessages', () => {
       ]);
     });
 
+    it('should convert messages with tool call parts that have ids', async () => {
+      const result = await convertToOpenAIResponsesMessages({
+        prompt: [
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'text',
+                text: 'I will search for that information.',
+                providerOptions: {
+                  openai: {
+                    itemId: 'id_123',
+                  },
+                },
+              },
+              {
+                type: 'tool-call',
+                toolCallId: 'call_123',
+                toolName: 'search',
+                input: { query: 'weather in San Francisco' },
+                providerOptions: {
+                  openai: {
+                    itemId: 'id_456',
+                  },
+                },
+              },
+            ],
+          },
+        ],
+        systemMessageMode: 'system',
+      });
+
+      expect(result.messages).toMatchInlineSnapshot(`
+        [
+          {
+            "content": [
+              {
+                "text": "I will search for that information.",
+                "type": "output_text",
+              },
+            ],
+            "id": "id_123",
+            "role": "assistant",
+          },
+          {
+            "arguments": "{"query":"weather in San Francisco"}",
+            "call_id": "call_123",
+            "id": "id_456",
+            "name": "search",
+            "type": "function_call",
+          },
+        ]
+      `);
+    });
+
     it('should convert multiple tool call parts in a single message', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'assistant',
@@ -381,11 +436,733 @@ describe('convertToOpenAIResponsesMessages', () => {
         },
       ]);
     });
+
+    describe('reasoning messages', () => {
+      describe('basic conversion', () => {
+        it('should convert single reasoning part with text', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'Analyzing the problem step by step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Analyzing the problem step by step',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should convert single reasoning part with encrypted content', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'Analyzing the problem step by step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                        reasoningEncryptedContent: 'encrypted_content_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: 'encrypted_content_001',
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Analyzing the problem step by step',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should convert single reasoning part with null encrypted content', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'Analyzing the problem step by step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                        reasoningEncryptedContent: null,
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: null,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Analyzing the problem step by step',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+      });
+
+      describe('empty text handling', () => {
+        it('should create empty summary for initial empty text', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: '', // Empty text should NOT generate warning when it's the first reasoning part
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should create empty summary for initial empty text with encrypted content', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: '', // Empty text should NOT generate warning when it's the first reasoning part
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                        reasoningEncryptedContent: 'encrypted_content_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: 'encrypted_content_001',
+              summary: [],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should warn when appending empty text to existing sequence', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'First reasoning step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: '', // Empty text should generate warning when appending to existing reasoning sequence
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'First reasoning step',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toMatchInlineSnapshot(`
+            [
+              {
+                "message": "Cannot append empty reasoning part to existing reasoning sequence. Skipping reasoning part: {"type":"reasoning","text":"","providerOptions":{"openai":{"itemId":"reasoning_001"}}}.",
+                "type": "other",
+              },
+            ]
+          `);
+        });
+      });
+
+      describe('merging and sequencing', () => {
+        it('should merge consecutive parts with same reasoning ID', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'First reasoning step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Second reasoning step',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'First reasoning step',
+                },
+                {
+                  type: 'summary_text',
+                  text: 'Second reasoning step',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should create separate messages for different reasoning IDs', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'First reasoning block',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Second reasoning block',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_002',
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'First reasoning block',
+                },
+              ],
+            },
+            {
+              type: 'reasoning',
+              id: 'reasoning_002',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Second reasoning block',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should handle reasoning across multiple assistant messages', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'user',
+                content: [{ type: 'text', text: 'First user question' }],
+              },
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'First reasoning step (message 1)',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Second reasoning step (message 1)',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                      },
+                    },
+                  },
+                  { type: 'text', text: 'First response' },
+                ],
+              },
+              {
+                role: 'user',
+                content: [{ type: 'text', text: 'Second user question' }],
+              },
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'First reasoning step (message 2)',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_002',
+                      },
+                    },
+                  },
+                  { type: 'text', text: 'Second response' },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            {
+              role: 'user',
+              content: [{ type: 'input_text', text: 'First user question' }],
+            },
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'First reasoning step (message 1)',
+                },
+                {
+                  type: 'summary_text',
+                  text: 'Second reasoning step (message 1)',
+                },
+              ],
+            },
+            {
+              role: 'assistant',
+              content: [{ type: 'output_text', text: 'First response' }],
+            },
+            {
+              role: 'user',
+              content: [{ type: 'input_text', text: 'Second user question' }],
+            },
+            {
+              type: 'reasoning',
+              id: 'reasoning_002',
+              encrypted_content: undefined,
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'First reasoning step (message 2)',
+                },
+              ],
+            },
+            {
+              role: 'assistant',
+              content: [{ type: 'output_text', text: 'Second response' }],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+
+        it('should handle complex reasoning sequences with tool interactions', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  // First reasoning block: reasoning → reasoning
+                  {
+                    type: 'reasoning',
+                    text: 'Initial analysis step 1',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                        reasoningEncryptedContent: 'encrypted_content_001',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Initial analysis step 2',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_001',
+                        reasoningEncryptedContent: 'encrypted_content_001',
+                      },
+                    },
+                  },
+                  // First tool interaction: tool-call
+                  {
+                    type: 'tool-call',
+                    toolCallId: 'call_001',
+                    toolName: 'search',
+                    input: { query: 'initial search' },
+                  },
+                ],
+              },
+              // Tool result comes as separate message
+              {
+                role: 'tool',
+                content: [
+                  {
+                    type: 'tool-result',
+                    toolCallId: 'call_001',
+                    toolName: 'search',
+                    output: {
+                      type: 'json',
+                      value: { results: ['result1', 'result2'] },
+                    },
+                  },
+                ],
+              },
+              {
+                role: 'assistant',
+                content: [
+                  // Second reasoning block: reasoning → reasoning → reasoning
+                  {
+                    type: 'reasoning',
+                    text: 'Processing results step 1',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_002',
+                        reasoningEncryptedContent: 'encrypted_content_002',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Processing results step 2',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_002',
+                        reasoningEncryptedContent: 'encrypted_content_002',
+                      },
+                    },
+                  },
+                  {
+                    type: 'reasoning',
+                    text: 'Processing results step 3',
+                    providerOptions: {
+                      openai: {
+                        itemId: 'reasoning_002',
+                        reasoningEncryptedContent: 'encrypted_content_002',
+                      },
+                    },
+                  },
+                  // Second tool interaction: tool-call
+                  {
+                    type: 'tool-call',
+                    toolCallId: 'call_002',
+                    toolName: 'calculator',
+                    input: { expression: '2 + 2' },
+                  },
+                ],
+              },
+              // Second tool result
+              {
+                role: 'tool',
+                content: [
+                  {
+                    type: 'tool-result',
+                    toolCallId: 'call_002',
+                    toolName: 'calculator',
+                    output: {
+                      type: 'json',
+                      value: { result: 4 },
+                    },
+                  },
+                ],
+              },
+              {
+                role: 'assistant',
+                content: [
+                  // Final text output
+                  {
+                    type: 'text',
+                    text: 'Based on my analysis and calculations, here is the final answer.',
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toEqual([
+            // First reasoning block (2 parts merged)
+            {
+              type: 'reasoning',
+              id: 'reasoning_001',
+              encrypted_content: 'encrypted_content_001',
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Initial analysis step 1',
+                },
+                {
+                  type: 'summary_text',
+                  text: 'Initial analysis step 2',
+                },
+              ],
+            },
+            // First tool call
+            {
+              type: 'function_call',
+              call_id: 'call_001',
+              name: 'search',
+              arguments: JSON.stringify({ query: 'initial search' }),
+            },
+            // First tool result
+            {
+              type: 'function_call_output',
+              call_id: 'call_001',
+              output: JSON.stringify({ results: ['result1', 'result2'] }),
+            },
+            // Second reasoning block (3 parts merged)
+            {
+              type: 'reasoning',
+              id: 'reasoning_002',
+              encrypted_content: 'encrypted_content_002',
+              summary: [
+                {
+                  type: 'summary_text',
+                  text: 'Processing results step 1',
+                },
+                {
+                  type: 'summary_text',
+                  text: 'Processing results step 2',
+                },
+                {
+                  type: 'summary_text',
+                  text: 'Processing results step 3',
+                },
+              ],
+            },
+            // Second tool call
+            {
+              type: 'function_call',
+              call_id: 'call_002',
+              name: 'calculator',
+              arguments: JSON.stringify({ expression: '2 + 2' }),
+            },
+            // Second tool result
+            {
+              type: 'function_call_output',
+              call_id: 'call_002',
+              output: JSON.stringify({ result: 4 }),
+            },
+            // Final text output
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'output_text',
+                  text: 'Based on my analysis and calculations, here is the final answer.',
+                },
+              ],
+            },
+          ]);
+
+          expect(result.warnings).toHaveLength(0);
+        });
+      });
+
+      describe('error handling', () => {
+        it('should warn when reasoning part has no provider options', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'This is a reasoning part without any provider options',
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toHaveLength(0);
+
+          expect(result.warnings).toMatchInlineSnapshot(`
+            [
+              {
+                "message": "Non-OpenAI reasoning parts are not supported. Skipping reasoning part: {"type":"reasoning","text":"This is a reasoning part without any provider options"}.",
+                "type": "other",
+              },
+            ]
+          `);
+        });
+
+        it('should warn when reasoning part lacks OpenAI-specific reasoning ID provider options', async () => {
+          const result = await convertToOpenAIResponsesMessages({
+            prompt: [
+              {
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'reasoning',
+                    text: 'This is a reasoning part without OpenAI-specific reasoning id provider options',
+                    providerOptions: {
+                      openai: {
+                        reasoning: {
+                          encryptedContent: 'encrypted_content_001',
+                        },
+                      },
+                    },
+                  },
+                ],
+              },
+            ],
+            systemMessageMode: 'system',
+          });
+
+          expect(result.messages).toHaveLength(0);
+
+          expect(result.warnings).toMatchInlineSnapshot(`
+            [
+              {
+                "message": "Non-OpenAI reasoning parts are not supported. Skipping reasoning part: {"type":"reasoning","text":"This is a reasoning part without OpenAI-specific reasoning id provider options","providerOptions":{"openai":{"reasoning":{"encryptedContent":"encrypted_content_001"}}}}.",
+                "type": "other",
+              },
+            ]
+          `);
+        });
+      });
+    });
   });
 
   describe('tool messages', () => {
     it('should convert tool result parts', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'tool',
@@ -415,7 +1192,7 @@ describe('convertToOpenAIResponsesMessages', () => {
     });
 
     it('should convert multiple tool result parts in a single message', async () => {
-      const result = convertToOpenAIResponsesMessages({
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'tool',
@@ -457,8 +1234,8 @@ describe('convertToOpenAIResponsesMessages', () => {
   });
 
   describe('provider-executed tool calls', () => {
-    it('should exclude provider-executed tool calls and results from prompt', () => {
-      const result = convertToOpenAIResponsesMessages({
+    it('should exclude provider-executed tool calls and results from prompt', async () => {
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'assistant',
@@ -509,6 +1286,7 @@ describe('convertToOpenAIResponsesMessages', () => {
                   "type": "output_text",
                 },
               ],
+              "id": undefined,
               "role": "assistant",
             },
             {
@@ -518,6 +1296,7 @@ describe('convertToOpenAIResponsesMessages', () => {
                   "type": "output_text",
                 },
               ],
+              "id": undefined,
               "role": "assistant",
             },
           ],
@@ -531,8 +1310,8 @@ describe('convertToOpenAIResponsesMessages', () => {
       `);
     });
 
-    it('should include client-side tool calls in prompt', () => {
-      const result = convertToOpenAIResponsesMessages({
+    it('should include client-side tool calls in prompt', async () => {
+      const result = await convertToOpenAIResponsesMessages({
         prompt: [
           {
             role: 'assistant',
@@ -556,6 +1335,7 @@ describe('convertToOpenAIResponsesMessages', () => {
             {
               "arguments": "{"a":1,"b":2}",
               "call_id": "call-1",
+              "id": undefined,
               "name": "calculator",
               "type": "function_call",
             },
diff --git a/packages/openai/src/responses/convert-to-openai-responses-messages.ts b/packages/openai/src/responses/convert-to-openai-responses-messages.ts
index 7beaa1c03b0d..0628af35912a 100644
--- a/packages/openai/src/responses/convert-to-openai-responses-messages.ts
+++ b/packages/openai/src/responses/convert-to-openai-responses-messages.ts
@@ -3,18 +3,23 @@ import {
   LanguageModelV2Prompt,
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
-import { OpenAIResponsesPrompt } from './openai-responses-api-types';
+import { parseProviderOptions } from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+import {
+  OpenAIResponsesPrompt,
+  OpenAIResponsesReasoning,
+} from './openai-responses-api-types';
 
-export function convertToOpenAIResponsesMessages({
+export async function convertToOpenAIResponsesMessages({
   prompt,
   systemMessageMode,
 }: {
   prompt: LanguageModelV2Prompt;
   systemMessageMode: 'system' | 'developer' | 'remove';
-}): {
+}): Promise<{
   messages: OpenAIResponsesPrompt;
   warnings: Array<LanguageModelV2CallWarning>;
-} {
+}> {
   const messages: OpenAIResponsesPrompt = [];
   const warnings: Array<LanguageModelV2CallWarning> = [];
 
@@ -99,12 +104,16 @@ export function convertToOpenAIResponsesMessages({
       }
 
       case 'assistant': {
+        const reasoningMessages: Record<string, OpenAIResponsesReasoning> = {};
+
         for (const part of content) {
           switch (part.type) {
             case 'text': {
               messages.push({
                 role: 'assistant',
                 content: [{ type: 'output_text', text: part.text }],
+                id:
+                  (part.providerOptions?.openai?.itemId as string) ?? undefined,
               });
               break;
             }
@@ -118,6 +127,8 @@ export function convertToOpenAIResponsesMessages({
                 call_id: part.toolCallId,
                 name: part.toolName,
                 arguments: JSON.stringify(part.input),
+                id:
+                  (part.providerOptions?.openai?.itemId as string) ?? undefined,
               });
               break;
             }
@@ -129,6 +140,53 @@ export function convertToOpenAIResponsesMessages({
               });
               break;
             }
+
+            case 'reasoning': {
+              const providerOptions = await parseProviderOptions({
+                provider: 'openai',
+                providerOptions: part.providerOptions,
+                schema: openaiResponsesReasoningProviderOptionsSchema,
+              });
+
+              const reasoningId = providerOptions?.itemId;
+
+              if (reasoningId != null) {
+                const existingReasoningMessage = reasoningMessages[reasoningId];
+
+                const summaryParts: Array<{
+                  type: 'summary_text';
+                  text: string;
+                }> = [];
+
+                if (part.text.length > 0) {
+                  summaryParts.push({ type: 'summary_text', text: part.text });
+                } else if (existingReasoningMessage !== undefined) {
+                  warnings.push({
+                    type: 'other',
+                    message: `Cannot append empty reasoning part to existing reasoning sequence. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                  });
+                }
+
+                if (existingReasoningMessage === undefined) {
+                  reasoningMessages[reasoningId] = {
+                    type: 'reasoning',
+                    id: reasoningId,
+                    encrypted_content:
+                      providerOptions?.reasoningEncryptedContent,
+                    summary: summaryParts,
+                  };
+                  messages.push(reasoningMessages[reasoningId]);
+                } else {
+                  existingReasoningMessage.summary.push(...summaryParts);
+                }
+              } else {
+                warnings.push({
+                  type: 'other',
+                  message: `Non-OpenAI reasoning parts are not supported. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                });
+              }
+              break;
+            }
           }
         }
 
@@ -171,3 +229,12 @@ export function convertToOpenAIResponsesMessages({
 
   return { messages, warnings };
 }
+
+const openaiResponsesReasoningProviderOptionsSchema = z.object({
+  itemId: z.string().nullish(),
+  reasoningEncryptedContent: z.string().nullish(),
+});
+
+export type OpenAIResponsesReasoningProviderOptions = z.infer<
+  typeof openaiResponsesReasoningProviderOptionsSchema
+>;
diff --git a/packages/openai/src/responses/openai-responses-api-types.ts b/packages/openai/src/responses/openai-responses-api-types.ts
index 519fa17ee222..ae8ec1ba01a4 100644
--- a/packages/openai/src/responses/openai-responses-api-types.ts
+++ b/packages/openai/src/responses/openai-responses-api-types.ts
@@ -9,7 +9,8 @@ export type OpenAIResponsesMessage =
   | OpenAIResponsesFunctionCall
   | OpenAIResponsesFunctionCallOutput
   | OpenAIWebSearchCall
-  | OpenAIComputerCall;
+  | OpenAIComputerCall
+  | OpenAIResponsesReasoning;
 
 export type OpenAIResponsesSystemMessage = {
   role: 'system' | 'developer';
@@ -32,6 +33,7 @@ export type OpenAIResponsesAssistantMessage = {
     | OpenAIWebSearchCall
     | OpenAIComputerCall
   >;
+  id?: string;
 };
 
 export type OpenAIResponsesFunctionCall = {
@@ -39,6 +41,7 @@ export type OpenAIResponsesFunctionCall = {
   call_id: string;
   name: string;
   arguments: string;
+  id?: string;
 };
 
 export type OpenAIResponsesFunctionCallOutput = {
@@ -75,4 +78,32 @@ export type OpenAIResponsesTool =
         city: string;
         region: string;
       };
+    }
+  | {
+      type: 'file_search';
+      vector_store_ids?: string[];
+      max_num_results?: number;
+      ranking_options?: {
+        ranker?: 'auto' | 'keyword' | 'semantic';
+      };
+      filters?:
+        | {
+            key: string;
+            type: 'eq' | 'ne' | 'gt' | 'gte' | 'lt' | 'lte';
+            value: string | number | boolean;
+          }
+        | {
+            type: 'and' | 'or';
+            filters: any[];
+          };
     };
+
+export type OpenAIResponsesReasoning = {
+  type: 'reasoning';
+  id: string;
+  encrypted_content?: string | null;
+  summary: Array<{
+    type: 'summary_text';
+    text: string;
+  }>;
+};
diff --git a/packages/openai/src/responses/openai-responses-language-model.test.ts b/packages/openai/src/responses/openai-responses-language-model.test.ts
index ef751d4378b8..76f58cf18a1c 100644
--- a/packages/openai/src/responses/openai-responses-language-model.test.ts
+++ b/packages/openai/src/responses/openai-responses-language-model.test.ts
@@ -8,6 +8,10 @@ import {
   mockId,
 } from '@ai-sdk/provider-utils/test';
 import { OpenAIResponsesLanguageModel } from './openai-responses-language-model';
+import {
+  openaiResponsesModelIds,
+  openaiResponsesReasoningModelIds,
+} from './openai-responses-settings';
 
 const TEST_PROMPT: LanguageModelV2Prompt = [
   { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
@@ -36,6 +40,13 @@ const TEST_TOOLS: Array<LanguageModelV2FunctionTool> = [
   },
 ];
 
+const nonReasoningModelIds = openaiResponsesModelIds.filter(
+  modelId =>
+    !openaiResponsesReasoningModelIds.includes(
+      modelId as (typeof openaiResponsesReasoningModelIds)[number],
+    ),
+);
+
 function createModel(modelId: string) {
   return new OpenAIResponsesLanguageModel(modelId, {
     provider: 'openai',
@@ -50,83 +61,6 @@ describe('OpenAIResponsesLanguageModel', () => {
     'https://api.openai.com/v1/responses': {},
   });
 
-  const prepareReasoningResponse = () => {
-    server.urls['https://api.openai.com/v1/responses'].response = {
-      type: 'json-value',
-      body: {
-        id: 'resp_67c97c0203188190a025beb4a75242bc',
-        object: 'response',
-        created_at: 1741257730,
-        status: 'completed',
-        error: null,
-        incomplete_details: null,
-        input: [],
-        instructions: null,
-        max_output_tokens: null,
-        model: 'o3-mini-2025-01-31',
-        output: [
-          {
-            id: 'rs_6808709f6fcc8191ad2e2fdd784017b3',
-            type: 'reasoning',
-            summary: [
-              {
-                type: 'summary_text',
-                text: '**Exploring burrito origins**\n\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito.',
-              },
-              {
-                type: 'summary_text',
-                text: "**Investigating burrito origins**\n\nThere's a fascinating debate about who created the Mission burrito.",
-              },
-            ],
-          },
-          {
-            id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
-            type: 'message',
-            status: 'completed',
-            role: 'assistant',
-            content: [
-              {
-                type: 'output_text',
-                text: 'answer text',
-                annotations: [],
-              },
-            ],
-          },
-        ],
-        parallel_tool_calls: true,
-        previous_response_id: null,
-        reasoning: {
-          effort: 'low',
-          summary: 'auto',
-        },
-        store: true,
-        temperature: 1,
-        text: {
-          format: {
-            type: 'text',
-          },
-        },
-        tool_choice: 'auto',
-        tools: [],
-        top_p: 1,
-        truncation: 'disabled',
-        usage: {
-          input_tokens: 34,
-          input_tokens_details: {
-            cached_tokens: 0,
-          },
-          output_tokens: 538,
-          output_tokens_details: {
-            reasoning_tokens: 320,
-          },
-          total_tokens: 572,
-        },
-        user: null,
-        metadata: {},
-      },
-    };
-  };
-
   describe('doGenerate', () => {
     describe('basic text response', () => {
       beforeEach(() => {
@@ -200,6 +134,11 @@ describe('OpenAIResponsesLanguageModel', () => {
         expect(result.content).toMatchInlineSnapshot(`
           [
             {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
               "text": "answer text",
               "type": "text",
             },
@@ -293,37 +232,71 @@ describe('OpenAIResponsesLanguageModel', () => {
         ]);
       });
 
-      it('should remove unsupported settings for o3', async () => {
-        const { warnings } = await createModel('o3').doGenerate({
-          prompt: [
-            { role: 'system', content: 'You are a helpful assistant.' },
-            { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
-          ],
-          temperature: 0.5,
-          topP: 0.3,
-        });
-
-        expect(await server.calls[0].requestBodyJson).toStrictEqual({
-          model: 'o3',
-          input: [
-            { role: 'developer', content: 'You are a helpful assistant.' },
+      it.each(openaiResponsesReasoningModelIds)(
+        'should remove and warn about unsupported settings for reasoning model %s',
+        async modelId => {
+          const { warnings } = await createModel(modelId).doGenerate({
+            prompt: [
+              { role: 'system', content: 'You are a helpful assistant.' },
+              { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
+            ],
+            temperature: 0.5,
+            topP: 0.3,
+          });
+
+          const expectedMessages = [
+            // o1 models prior to o1-2024-12-17 should remove system messages, all other models should replace
+            // them with developer messages
+            ...(![
+              'o1-mini',
+              'o1-mini-2024-09-12',
+              'o1-preview',
+              'o1-preview-2024-09-12',
+            ].includes(modelId)
+              ? [
+                  {
+                    role: 'developer',
+                    content: 'You are a helpful assistant.',
+                  },
+                ]
+              : []),
             { role: 'user', content: [{ type: 'input_text', text: 'Hello' }] },
-          ],
-        });
-
-        expect(warnings).toStrictEqual([
-          {
-            details: 'temperature is not supported for reasoning models',
-            setting: 'temperature',
-            type: 'unsupported-setting',
-          },
-          {
-            details: 'topP is not supported for reasoning models',
-            setting: 'topP',
-            type: 'unsupported-setting',
-          },
-        ]);
-      });
+          ];
+
+          expect(await server.calls[0].requestBodyJson).toStrictEqual({
+            model: modelId,
+            input: expectedMessages,
+          });
+
+          expect(warnings).toStrictEqual([
+            // o1 models prior to o1-2024-12-17 should remove system messages, all other models should replace
+            // them with developer messages
+            ...([
+              'o1-mini',
+              'o1-mini-2024-09-12',
+              'o1-preview',
+              'o1-preview-2024-09-12',
+            ].includes(modelId)
+              ? [
+                  {
+                    message: 'system messages are removed for this model',
+                    type: 'other',
+                  },
+                ]
+              : []),
+            {
+              details: 'temperature is not supported for reasoning models',
+              setting: 'temperature',
+              type: 'unsupported-setting',
+            },
+            {
+              details: 'topP is not supported for reasoning models',
+              setting: 'topP',
+              type: 'unsupported-setting',
+            },
+          ]);
+        },
+      );
 
       it('should send response format json schema', async () => {
         const { warnings } = await createModel('gpt-4o').doGenerate({
@@ -511,45 +484,107 @@ describe('OpenAIResponsesLanguageModel', () => {
         expect(warnings).toStrictEqual([]);
       });
 
-      it('should send reasoningEffort provider option', async () => {
-        const { warnings } = await createModel('o3').doGenerate({
+      it.each(openaiResponsesReasoningModelIds)(
+        'should send reasoningEffort and reasoningSummary provider options for %s',
+        async modelId => {
+          const { warnings } = await createModel(modelId).doGenerate({
+            prompt: TEST_PROMPT,
+            providerOptions: {
+              openai: {
+                reasoningEffort: 'low',
+                reasoningSummary: 'auto',
+              },
+            },
+          });
+
+          expect(await server.calls[0].requestBodyJson).toStrictEqual({
+            model: modelId,
+            input: [
+              {
+                role: 'user',
+                content: [{ type: 'input_text', text: 'Hello' }],
+              },
+            ],
+            reasoning: {
+              effort: 'low',
+              summary: 'auto',
+            },
+          });
+
+          expect(warnings).toStrictEqual([]);
+        },
+      );
+
+      it.each(nonReasoningModelIds)(
+        'should not send and warn about unsupported reasoningEffort and reasoningSummary provider options for %s',
+        async modelId => {
+          const { warnings } = await createModel(modelId).doGenerate({
+            prompt: TEST_PROMPT,
+            providerOptions: {
+              openai: {
+                reasoningEffort: 'low',
+              },
+            },
+          });
+
+          expect(await server.calls[0].requestBodyJson).toStrictEqual({
+            model: modelId,
+            input: [
+              {
+                role: 'user',
+                content: [{ type: 'input_text', text: 'Hello' }],
+              },
+            ],
+          });
+
+          expect(warnings).toStrictEqual([
+            {
+              type: 'unsupported-setting',
+              setting: 'reasoningEffort',
+              details:
+                'reasoningEffort is not supported for non-reasoning models',
+            },
+          ]);
+        },
+      );
+
+      it('should send instructions provider option', async () => {
+        const { warnings } = await createModel('gpt-4o').doGenerate({
           prompt: TEST_PROMPT,
           providerOptions: {
             openai: {
-              reasoningEffort: 'low',
+              instructions: 'You are a friendly assistant.',
             },
           },
         });
 
         expect(await server.calls[0].requestBodyJson).toStrictEqual({
-          model: 'o3',
+          model: 'gpt-4o',
           input: [
             { role: 'user', content: [{ type: 'input_text', text: 'Hello' }] },
           ],
-          reasoning: {
-            effort: 'low',
-          },
+          instructions: 'You are a friendly assistant.',
         });
 
         expect(warnings).toStrictEqual([]);
       });
 
-      it('should send instructions provider option', async () => {
-        const { warnings } = await createModel('gpt-4o').doGenerate({
+      it('should send include provider option', async () => {
+        const { warnings } = await createModel('o3-mini').doGenerate({
           prompt: TEST_PROMPT,
           providerOptions: {
             openai: {
-              instructions: 'You are a friendly assistant.',
+              include: ['reasoning.encrypted_content'],
             },
           },
         });
 
         expect(await server.calls[0].requestBodyJson).toStrictEqual({
-          model: 'gpt-4o',
+          model: 'o3-mini',
           input: [
             { role: 'user', content: [{ type: 'input_text', text: 'Hello' }] },
           ],
-          instructions: 'You are a friendly assistant.',
+          include: ['reasoning.encrypted_content'],
         });
 
         expect(warnings).toStrictEqual([]);
@@ -757,279 +792,263 @@ describe('OpenAIResponsesLanguageModel', () => {
         expect(warnings).toStrictEqual([]);
       });
 
-      it('should warn about unsupported settings', async () => {
+      it('should send file_search tool', async () => {
         const { warnings } = await createModel('gpt-4o').doGenerate({
+          tools: [
+            {
+              type: 'provider-defined',
+              id: 'openai.file_search',
+              name: 'file_search',
+              args: {
+                vectorStoreIds: ['vs_123', 'vs_456'],
+                maxNumResults: 10,
+                ranking: {
+                  ranker: 'auto',
+                },
+              },
+            },
+          ],
           prompt: TEST_PROMPT,
-          stopSequences: ['\n\n'],
-          topK: 0.1,
-          presencePenalty: 0,
-          frequencyPenalty: 0,
-          seed: 42,
         });
 
-        expect(warnings).toStrictEqual([
-          { type: 'unsupported-setting', setting: 'topK' },
-          { type: 'unsupported-setting', setting: 'seed' },
-          { type: 'unsupported-setting', setting: 'presencePenalty' },
-          { type: 'unsupported-setting', setting: 'frequencyPenalty' },
-          { type: 'unsupported-setting', setting: 'stopSequences' },
-        ]);
-      });
+        expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+          {
+            "input": [
+              {
+                "content": [
+                  {
+                    "text": "Hello",
+                    "type": "input_text",
+                  },
+                ],
+                "role": "user",
+              },
+            ],
+            "model": "gpt-4o",
+            "tools": [
+              {
+                "max_num_results": 10,
+                "ranking_options": {
+                  "ranker": "auto",
+                },
+                "type": "file_search",
+                "vector_store_ids": [
+                  "vs_123",
+                  "vs_456",
+                ],
+              },
+            ],
+          }
+        `);
 
-      it('should extract reasoning summary', async () => {
-        prepareReasoningResponse();
+        expect(warnings).toStrictEqual([]);
+      });
 
-        const result = await createModel('o3-mini').doGenerate({
-          prompt: TEST_PROMPT,
-          providerOptions: {
-            openai: {
-              reasoningEffort: 'low',
-              reasoningSummary: 'auto',
-            },
+      it('should send file_search tool as tool_choice', async () => {
+        const { warnings } = await createModel('gpt-4o').doGenerate({
+          toolChoice: {
+            type: 'tool',
+            toolName: 'file_search',
           },
-        });
-
-        expect(result.content).toMatchInlineSnapshot(`
-          [
-            {
-              "text": "**Exploring burrito origins**
-
-          The user is curious about the debate regarding Taqueria La Cumbre and El Farolito.,**Investigating burrito origins**
-
-          There's a fascinating debate about who created the Mission burrito.",
-              "type": "reasoning",
-            },
+          tools: [
             {
-              "text": "answer text",
-              "type": "text",
+              type: 'provider-defined',
+              id: 'openai.file_search',
+              name: 'file_search',
+              args: {
+                vectorStoreIds: ['vs_789'],
+                maxNumResults: 5,
+              },
             },
-          ]
-        `);
+          ],
+          prompt: TEST_PROMPT,
+        });
 
-        expect(result.usage).toMatchInlineSnapshot(`
+        expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
           {
-            "cachedInputTokens": 0,
-            "inputTokens": 34,
-            "outputTokens": 538,
-            "reasoningTokens": 320,
-            "totalTokens": 572,
+            "input": [
+              {
+                "content": [
+                  {
+                    "text": "Hello",
+                    "type": "input_text",
+                  },
+                ],
+                "role": "user",
+              },
+            ],
+            "model": "gpt-4o",
+            "tool_choice": {
+              "type": "file_search",
+            },
+            "tools": [
+              {
+                "max_num_results": 5,
+                "type": "file_search",
+                "vector_store_ids": [
+                  "vs_789",
+                ],
+              },
+            ],
           }
         `);
 
-        expect(await server.calls[0].requestBodyJson).toMatchObject({
-          model: 'o3-mini',
-          reasoning: {
-            effort: 'low',
-            summary: 'auto',
-          },
-        });
+        expect(warnings).toStrictEqual([]);
       });
-    });
 
-    describe('tool calls', () => {
-      beforeEach(() => {
-        server.urls['https://api.openai.com/v1/responses'].response = {
-          type: 'json-value',
-          body: {
-            id: 'resp_67c97c0203188190a025beb4a75242bc',
-            object: 'response',
-            created_at: 1741257730,
-            status: 'completed',
-            error: null,
-            incomplete_details: null,
-            input: [],
-            instructions: null,
-            max_output_tokens: null,
-            model: 'gpt-4o-2024-07-18',
-            output: [
+      it('should send file_search tool with filters', async () => {
+        const { warnings } = await createModel('gpt-4o').doGenerate({
+          tools: [
+            {
+              type: 'provider-defined',
+              id: 'openai.file_search',
+              name: 'file_search',
+              args: {
+                vectorStoreIds: ['vs_123'],
+                maxNumResults: 5,
+                filters: {
+                  key: 'author',
+                  type: 'eq',
+                  value: 'Jane Smith',
+                },
+              },
+            },
+          ],
+          prompt: TEST_PROMPT,
+        });
+
+        expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+          {
+            "input": [
               {
-                type: 'function_call',
-                id: 'fc_67caf7f4c1ec8190b27edfb5580cfd31',
-                call_id: 'call_0NdsJqOS8N3J9l2p0p4WpYU9',
-                name: 'weather',
-                arguments: '{"location":"San Francisco"}',
-                status: 'completed',
+                "content": [
+                  {
+                    "text": "Hello",
+                    "type": "input_text",
+                  },
+                ],
+                "role": "user",
               },
+            ],
+            "model": "gpt-4o",
+            "tools": [
               {
-                type: 'function_call',
-                id: 'fc_67caf7f5071c81908209c2909c77af05',
-                call_id: 'call_gexo0HtjUfmAIW4gjNOgyrcr',
-                name: 'cityAttractions',
-                arguments: '{"city":"San Francisco"}',
-                status: 'completed',
+                "filters": {
+                  "key": "author",
+                  "type": "eq",
+                  "value": "Jane Smith",
+                },
+                "max_num_results": 5,
+                "type": "file_search",
+                "vector_store_ids": [
+                  "vs_123",
+                ],
               },
             ],
-            parallel_tool_calls: true,
-            previous_response_id: null,
-            reasoning: {
-              effort: null,
-              summary: null,
-            },
-            store: true,
-            temperature: 1,
-            text: {
-              format: {
-                type: 'text',
-              },
+          }
+        `);
+
+        expect(warnings).toStrictEqual([]);
+      });
+
+      it('should send file_search tool with minimal args', async () => {
+        const { warnings } = await createModel('gpt-4o').doGenerate({
+          tools: [
+            {
+              type: 'provider-defined',
+              id: 'openai.file_search',
+              name: 'file_search',
+              args: {},
             },
-            tool_choice: 'auto',
-            tools: [
+          ],
+          prompt: TEST_PROMPT,
+        });
+
+        expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+          {
+            "input": [
               {
-                type: 'function',
-                description: 'Get the weather in a location',
-                name: 'weather',
-                parameters: {
-                  type: 'object',
-                  properties: {
-                    location: {
-                      type: 'string',
-                      description: 'The location to get the weather for',
-                    },
+                "content": [
+                  {
+                    "text": "Hello",
+                    "type": "input_text",
                   },
-                  required: ['location'],
-                  additionalProperties: false,
-                },
-                strict: true,
+                ],
+                "role": "user",
               },
+            ],
+            "model": "gpt-4o",
+            "tools": [
               {
-                type: 'function',
-                description: null,
-                name: 'cityAttractions',
-                parameters: {
-                  type: 'object',
-                  properties: {
-                    city: {
-                      type: 'string',
-                    },
-                  },
-                  required: ['city'],
-                  additionalProperties: false,
-                },
-                strict: true,
+                "type": "file_search",
               },
             ],
-            top_p: 1,
-            truncation: 'disabled',
-            usage: {
-              input_tokens: 34,
-              output_tokens: 538,
-              output_tokens_details: {
-                reasoning_tokens: 0,
-              },
-              total_tokens: 572,
-            },
-            user: null,
-            metadata: {},
-          },
-        };
-      });
-
-      it('should generate tool calls', async () => {
-        const result = await createModel('gpt-4o').doGenerate({
-          prompt: TEST_PROMPT,
-          tools: TEST_TOOLS,
-        });
-
-        expect(result.content).toMatchInlineSnapshot(`
-          [
-            {
-              "input": "{"location":"San Francisco"}",
-              "toolCallId": "call_0NdsJqOS8N3J9l2p0p4WpYU9",
-              "toolName": "weather",
-              "type": "tool-call",
-            },
-            {
-              "input": "{"city":"San Francisco"}",
-              "toolCallId": "call_gexo0HtjUfmAIW4gjNOgyrcr",
-              "toolName": "cityAttractions",
-              "type": "tool-call",
-            },
-          ]
+          }
         `);
+
+        expect(warnings).toStrictEqual([]);
       });
 
-      it('should have tool-calls finish reason', async () => {
-        const result = await createModel('gpt-4o').doGenerate({
+      it('should warn about unsupported settings', async () => {
+        const { warnings } = await createModel('gpt-4o').doGenerate({
           prompt: TEST_PROMPT,
-          tools: TEST_TOOLS,
+          stopSequences: ['\n\n'],
+          topK: 0.1,
+          presencePenalty: 0,
+          frequencyPenalty: 0,
+          seed: 42,
         });
 
-        expect(result.finishReason).toStrictEqual('tool-calls');
+        expect(warnings).toStrictEqual([
+          { type: 'unsupported-setting', setting: 'topK' },
+          { type: 'unsupported-setting', setting: 'seed' },
+          { type: 'unsupported-setting', setting: 'presencePenalty' },
+          { type: 'unsupported-setting', setting: 'frequencyPenalty' },
+          { type: 'unsupported-setting', setting: 'stopSequences' },
+        ]);
       });
     });
 
-    describe('web search', () => {
-      const outputText = `Last week in San Francisco, several notable events and developments took place:\n\n**Bruce Lee Statue in Chinatown**\n\nThe Chinese Historical Society of America Museum announced plans to install a Bruce Lee statue in Chinatown. This initiative, supported by the Rose Pak Community Fund, the Bruce Lee Foundation, and Stand With Asians, aims to honor Lee's contributions to film and martial arts. Artist Arnie Kim has been commissioned for the project, with a fundraising goal of $150,000. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com))\n\n**Office Leasing Revival**\n\nThe Bay Area experienced a resurgence in office leasing, securing 11 of the largest U.S. office leases in 2024. This trend, driven by the tech industry's growth and advancements in generative AI, suggests a potential boost to downtown recovery through increased foot traffic. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com))\n\n**Spring Blooms in the Bay Area**\n\nWith the arrival of spring, several locations in the Bay Area are showcasing vibrant blooms. Notable spots include the Conservatory of Flowers, Japanese Tea Garden, Queen Wilhelmina Tulip Garden, and the San Francisco Botanical Garden, each offering unique floral displays. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com))\n\n**Oceanfront Great Highway Park**\n\nSan Francisco's long-awaited Oceanfront Great Highway park is set to open on April 12. This 43-acre, car-free park will span a two-mile stretch of the Great Highway from Lincoln Way to Sloat Boulevard, marking the largest pedestrianization project in California's history. The park follows voter approval of Proposition K, which permanently bans cars on part of the highway. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com))\n\n**Warmer Spring Seasons**\n\nAn analysis by Climate Central revealed that San Francisco, along with most U.S. cities, is experiencing increasingly warmer spring seasons. Over a 55-year period from 1970 to 2024, the national average temperature during March through May rose by 2.4°F. This warming trend poses various risks, including early snowmelt and increased wildfire threats. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com))\n\n\n# Key San Francisco Developments Last Week:\n- [Bruce Lee statue to be installed in SF Chinatown](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com)\n- [The Bay Area is set to make an office leasing comeback](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com)\n- [Oceanfront Great Highway park set to open in April](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com)`;
-
-      beforeEach(() => {
+    describe('reasoning', () => {
+      it('should handle reasoning with summary', async () => {
         server.urls['https://api.openai.com/v1/responses'].response = {
           type: 'json-value',
           body: {
-            id: 'resp_67cf2b2f6bd081909be2c8054ddef0eb',
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
             object: 'response',
-            created_at: 1741630255,
+            created_at: 1741257730,
             status: 'completed',
             error: null,
             incomplete_details: null,
+            input: [],
             instructions: null,
             max_output_tokens: null,
-            model: 'gpt-4o-2024-07-18',
+            model: 'o3-mini-2025-01-31',
             output: [
               {
-                type: 'web_search_call',
-                id: 'ws_67cf2b3051e88190b006770db6fdb13d',
-                status: 'completed',
+                id: 'rs_6808709f6fcc8191ad2e2fdd784017b3',
+                type: 'reasoning',
+                summary: [
+                  {
+                    type: 'summary_text',
+                    text: '**Exploring burrito origins**\n\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito.',
+                  },
+                  {
+                    type: 'summary_text',
+                    text: "**Investigating burrito origins**\n\nThere's a fascinating debate about who created the Mission burrito.",
+                  },
+                ],
               },
               {
+                id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
                 type: 'message',
-                id: 'msg_67cf2b35467481908f24412e4fd40d66',
                 status: 'completed',
                 role: 'assistant',
                 content: [
                   {
                     type: 'output_text',
-                    text: outputText,
-                    annotations: [
-                      {
-                        type: 'url_citation',
-                        start_index: 486,
-                        end_index: 606,
-                        url: 'https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com',
-                        title:
-                          'Bruce Lee statue to be installed in SF Chinatown',
-                      },
-                      {
-                        type: 'url_citation',
-                        start_index: 912,
-                        end_index: 1035,
-                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com',
-                        title:
-                          'The Bay Area is set to make an office leasing comeback',
-                      },
-                      {
-                        type: 'url_citation',
-                        start_index: 1346,
-                        end_index: 1472,
-                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com',
-                        title: 'Where to see spring blooms in the Bay Area',
-                      },
-                      {
-                        type: 'url_citation',
-                        start_index: 1884,
-                        end_index: 2023,
-                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com',
-                        title:
-                          'Oceanfront Great Highway park set to open in April',
-                      },
-                      {
-                        type: 'url_citation',
-                        start_index: 2404,
-                        end_index: 2540,
-                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com',
-                        title:
-                          "San Francisco's spring seasons are getting warmer",
-                      },
-                    ],
+                    text: 'answer text',
+                    annotations: [],
                   },
                 ],
               },
@@ -1037,351 +1056,1272 @@ describe('OpenAIResponsesLanguageModel', () => {
             parallel_tool_calls: true,
             previous_response_id: null,
             reasoning: {
-              effort: null,
-              summary: null,
+              effort: 'low',
+              summary: 'auto',
             },
             store: true,
-            temperature: 0,
+            temperature: 1,
             text: {
               format: {
                 type: 'text',
               },
             },
             tool_choice: 'auto',
-            tools: [
-              {
-                type: 'web_search_preview',
-                search_context_size: 'medium',
-                user_location: {
-                  type: 'approximate',
-                  city: null,
-                  country: 'US',
-                  region: null,
-                  timezone: null,
-                },
-              },
-            ],
+            tools: [],
             top_p: 1,
             truncation: 'disabled',
             usage: {
-              input_tokens: 327,
+              input_tokens: 34,
               input_tokens_details: {
                 cached_tokens: 0,
               },
-              output_tokens: 770,
+              output_tokens: 538,
               output_tokens_details: {
-                reasoning_tokens: 0,
+                reasoning_tokens: 320,
               },
-              total_tokens: 1097,
+              total_tokens: 572,
             },
             user: null,
             metadata: {},
           },
         };
-      });
 
-      it('should generate text and sources', async () => {
-        const result = await createModel('gpt-4o').doGenerate({
+        const result = await createModel('o3-mini').doGenerate({
           prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: 'auto',
+            },
+          },
         });
 
         expect(result.content).toMatchInlineSnapshot(`
           [
             {
-              "input": "",
-              "providerExecuted": true,
-              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
-              "toolName": "web_search_preview",
-              "type": "tool-call",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": null,
+                },
+              },
+              "text": "**Exploring burrito origins**
+
+          The user is curious about the debate regarding Taqueria La Cumbre and El Farolito.",
+              "type": "reasoning",
             },
             {
-              "providerExecuted": true,
-              "result": {
-                "status": "completed",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": null,
+                },
               },
-              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
-              "toolName": "web_search_preview",
-              "type": "tool-result",
+              "text": "**Investigating burrito origins**
+
+          There's a fascinating debate about who created the Mission burrito.",
+              "type": "reasoning",
             },
             {
-              "text": "Last week in San Francisco, several notable events and developments took place:
-
-          **Bruce Lee Statue in Chinatown**
-
-          The Chinese Historical Society of America Museum announced plans to install a Bruce Lee statue in Chinatown. This initiative, supported by the Rose Pak Community Fund, the Bruce Lee Foundation, and Stand With Asians, aims to honor Lee's contributions to film and martial arts. Artist Arnie Kim has been commissioned for the project, with a fundraising goal of $150,000. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com))
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
+              "text": "answer text",
+              "type": "text",
+            },
+          ]
+        `);
 
-          **Office Leasing Revival**
-
-          The Bay Area experienced a resurgence in office leasing, securing 11 of the largest U.S. office leases in 2024. This trend, driven by the tech industry's growth and advancements in generative AI, suggests a potential boost to downtown recovery through increased foot traffic. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com))
-
-          **Spring Blooms in the Bay Area**
-
-          With the arrival of spring, several locations in the Bay Area are showcasing vibrant blooms. Notable spots include the Conservatory of Flowers, Japanese Tea Garden, Queen Wilhelmina Tulip Garden, and the San Francisco Botanical Garden, each offering unique floral displays. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com))
-
-          **Oceanfront Great Highway Park**
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+            summary: 'auto',
+          },
+        });
+      });
 
-          San Francisco's long-awaited Oceanfront Great Highway park is set to open on April 12. This 43-acre, car-free park will span a two-mile stretch of the Great Highway from Lincoln Way to Sloat Boulevard, marking the largest pedestrianization project in California's history. The park follows voter approval of Proposition K, which permanently bans cars on part of the highway. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com))
+      it('should handle reasoning with empty summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'o3-mini-2025-01-31',
+            output: [
+              {
+                id: 'rs_6808709f6fcc8191ad2e2fdd784017b3',
+                type: 'reasoning',
+                summary: [],
+              },
+              {
+                id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
+                type: 'message',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: 'answer text',
+                    annotations: [],
+                  },
+                ],
+              },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: 'low',
+              summary: 'auto',
+            },
+            store: true,
+            temperature: 1,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 34,
+              input_tokens_details: {
+                cached_tokens: 0,
+              },
+              output_tokens: 538,
+              output_tokens_details: {
+                reasoning_tokens: 320,
+              },
+              total_tokens: 572,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
 
-          **Warmer Spring Seasons**
+        const result = await createModel('o3-mini').doGenerate({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: null,
+            },
+          },
+        });
 
-          An analysis by Climate Central revealed that San Francisco, along with most U.S. cities, is experiencing increasingly warmer spring seasons. Over a 55-year period from 1970 to 2024, the national average temperature during March through May rose by 2.4°F. This warming trend poses various risks, including early snowmelt and increased wildfire threats. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com))
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": null,
+                },
+              },
+              "text": "",
+              "type": "reasoning",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
+              "text": "answer text",
+              "type": "text",
+            },
+          ]
+        `);
 
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+          },
+        });
+      });
 
-          # Key San Francisco Developments Last Week:
-          - [Bruce Lee statue to be installed in SF Chinatown](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com)
-          - [The Bay Area is set to make an office leasing comeback](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com)
-          - [Oceanfront Great Highway park set to open in April](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com)",
-              "type": "text",
+      it('should handle encrypted content with summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'o3-mini-2025-01-31',
+            output: [
+              {
+                id: 'rs_6808709f6fcc8191ad2e2fdd784017b3',
+                type: 'reasoning',
+                encrypted_content: 'encrypted_reasoning_data_abc123',
+                summary: [
+                  {
+                    type: 'summary_text',
+                    text: '**Exploring burrito origins**\n\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito.',
+                  },
+                  {
+                    type: 'summary_text',
+                    text: "**Investigating burrito origins**\n\nThere's a fascinating debate about who created the Mission burrito.",
+                  },
+                ],
+              },
+              {
+                id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
+                type: 'message',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: 'answer text',
+                    annotations: [],
+                  },
+                ],
+              },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: 'low',
+              summary: 'auto',
             },
-            {
-              "id": "id-0",
-              "sourceType": "url",
-              "title": "Bruce Lee statue to be installed in SF Chinatown",
-              "type": "source",
-              "url": "https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com",
+            store: true,
+            temperature: 1,
+            text: {
+              format: {
+                type: 'text',
+              },
             },
-            {
-              "id": "id-1",
-              "sourceType": "url",
-              "title": "The Bay Area is set to make an office leasing comeback",
-              "type": "source",
-              "url": "https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com",
+            tool_choice: 'auto',
+            tools: [],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 34,
+              input_tokens_details: {
+                cached_tokens: 0,
+              },
+              output_tokens: 538,
+              output_tokens_details: {
+                reasoning_tokens: 320,
+              },
+              total_tokens: 572,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
+
+        const result = await createModel('o3-mini').doGenerate({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: 'auto',
+              include: ['reasoning.encrypted_content'],
             },
+          },
+        });
+
+        expect(result.content).toMatchInlineSnapshot(`
+          [
             {
-              "id": "id-2",
-              "sourceType": "url",
-              "title": "Where to see spring blooms in the Bay Area",
-              "type": "source",
-              "url": "https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                },
+              },
+              "text": "**Exploring burrito origins**
+
+          The user is curious about the debate regarding Taqueria La Cumbre and El Farolito.",
+              "type": "reasoning",
             },
             {
-              "id": "id-3",
-              "sourceType": "url",
-              "title": "Oceanfront Great Highway park set to open in April",
-              "type": "source",
-              "url": "https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                },
+              },
+              "text": "**Investigating burrito origins**
+
+          There's a fascinating debate about who created the Mission burrito.",
+              "type": "reasoning",
             },
             {
-              "id": "id-4",
-              "sourceType": "url",
-              "title": "San Francisco's spring seasons are getting warmer",
-              "type": "source",
-              "url": "https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
+              "text": "answer text",
+              "type": "text",
             },
           ]
         `);
-      });
-    });
-  });
 
-  describe('doStream', () => {
-    it('should stream text deltas', async () => {
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.in_progress","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"in_progress","role":"assistant","content":[]}}\n\n`,
-          `data:{"type":"response.content_part.added","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":"Hello,"}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":" World!"}\n\n`,
-          `data:{"type":"response.output_text.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"text":"Hello, World!"}\n\n`,
-          `data:{"type":"response.content_part.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hello, World!","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hello, World!","annotations":[]}]}}\n\n`,
-          `data:{"type":"response.completed","response":{"id":"resp_67c9a878139c8190aa2e3105411b408b","object":"response","created_at":1741269112,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hello, World!","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":{"input_tokens":543,"input_tokens_details":{"cached_tokens":234},"output_tokens":478,"output_tokens_details":{"reasoning_tokens":123},"total_tokens":512},"user":null,"metadata":{}}}\n\n`,
-        ],
-      };
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+            summary: 'auto',
+          },
+          include: ['reasoning.encrypted_content'],
+        });
+      });
 
-      const { stream } = await createModel('gpt-4o').doStream({
-        prompt: TEST_PROMPT,
-        includeRawChunks: false,
-      });
-
-      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
-        [
-          {
-            "type": "stream-start",
-            "warnings": [],
-          },
-          {
-            "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
-            "modelId": "gpt-4o-2024-07-18",
-            "timestamp": 2025-03-06T13:50:19.000Z,
-            "type": "response-metadata",
-          },
-          {
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello,",
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-delta",
-          },
-          {
-            "delta": " World!",
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-delta",
-          },
-          {
-            "id": "msg_67c9a8787f4c8190b49c858d4c1cf20c",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": {
-              "openai": {
-                "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+      it('should handle encrypted content with empty summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'o3-mini-2025-01-31',
+            output: [
+              {
+                id: 'rs_6808709f6fcc8191ad2e2fdd784017b3',
+                type: 'reasoning',
+                encrypted_content: 'encrypted_reasoning_data_abc123',
+                summary: [],
+              },
+              {
+                id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
+                type: 'message',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: 'answer text',
+                    annotations: [],
+                  },
+                ],
               },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: 'low',
+              summary: 'auto',
             },
-            "type": "finish",
-            "usage": {
-              "cachedInputTokens": 234,
-              "inputTokens": 543,
-              "outputTokens": 478,
-              "reasoningTokens": 123,
-              "totalTokens": 1021,
+            store: true,
+            temperature: 1,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 34,
+              input_tokens_details: {
+                cached_tokens: 0,
+              },
+              output_tokens: 538,
+              output_tokens_details: {
+                reasoning_tokens: 320,
+              },
+              total_tokens: 572,
             },
+            user: null,
+            metadata: {},
           },
-        ]
-      `);
-    });
-
-    it('should send finish reason for incomplete response', async () => {
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.in_progress","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"in_progress","role":"assistant","content":[]}}\n\n`,
-          `data:{"type":"response.content_part.added","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":"Hello,"}\n\n`,
-          `data:{"type":"response.output_text.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"text":"Hello,!"}\n\n`,
-          `data:{"type":"response.content_part.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hello,","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"incomplete","role":"assistant","content":[{"type":"output_text","text":"Hello,","annotations":[]}]}}\n\n`,
-          `data:{"type":"response.incomplete","response":{"id":"resp_67cadb40a0708190ac2763c0b6960f6f","object":"response","created_at":1741347648,"status":"incomplete","error":null,"incomplete_details":{"reason":"max_output_tokens"},"instructions":null,"max_output_tokens":100,"model":"gpt-4o-2024-07-18","output":[{"type":"message","id":"msg_67cadb410ccc81909fe1d8f427b9cf02","status":"incomplete","role":"assistant","content":[{"type":"output_text","text":"Hello,","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":{"input_tokens":0,"input_tokens_details":{"cached_tokens":0},"output_tokens":0,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":0},"user":null,"metadata":{}}}\n\n`,
-        ],
-      };
-
-      const { stream } = await createModel('gpt-4o').doStream({
-        prompt: TEST_PROMPT,
-        includeRawChunks: false,
-      });
+        };
 
-      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
-        [
-          {
-            "type": "stream-start",
-            "warnings": [],
-          },
-          {
-            "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
-            "modelId": "gpt-4o-2024-07-18",
-            "timestamp": 2025-03-06T13:50:19.000Z,
-            "type": "response-metadata",
-          },
-          {
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-start",
-          },
-          {
-            "delta": "Hello,",
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-delta",
-          },
-          {
-            "id": "msg_67c9a8787f4c8190b49c858d4c1cf20c",
-            "type": "text-end",
+        const result = await createModel('o3-mini').doGenerate({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: null,
+              include: ['reasoning.encrypted_content'],
+            },
           },
-          {
-            "finishReason": "length",
-            "providerMetadata": {
-              "openai": {
-                "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+        });
+
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                },
               },
+              "text": "",
+              "type": "reasoning",
             },
-            "type": "finish",
-            "usage": {
-              "cachedInputTokens": 0,
-              "inputTokens": 0,
-              "outputTokens": 0,
-              "reasoningTokens": 0,
-              "totalTokens": 0,
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
+              "text": "answer text",
+              "type": "text",
             },
-          },
-        ]
-      `);
-    });
-
-    it('should send streaming tool calls', async () => {
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data:{"type":"response.created","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.in_progress","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":0,"item":{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_6KxSghkb4MVnunFH2TxPErLP","name":"currentLocation","arguments":"","status":"completed"}}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a838088190be08eb3927c87501","output_index":0,"delta":"{}"}\n\n`,
-          `data:{"type":"response.function_call_arguments.done","item_id":"fc_67cb13a838088190be08eb3927c87501","output_index":0,"arguments":"{}"}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":0,"item":{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_pgjcAI4ZegMkP6bsAV7sfrJA","name":"currentLocation","arguments":"{}","status":"completed"}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":1,"item":{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_Dg6WUmFHNeR5JxX1s53s1G4b","name":"weather","arguments":"","status":"in_progress"}}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"{"}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"location"}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\":"}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"Rome"}\n\n`,
-          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"}"}\n\n`,
-          `data:{"type":"response.function_call_arguments.done","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"arguments":"{\\"location\\":\\"Rome\\"}"}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":1,"item":{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_X2PAkDJInno9VVnNkDrfhboW","name":"weather","arguments":"{\\"location\\":\\"Rome\\"}","status":"completed"}}\n\n`,
-          `data:{"type":"response.completed","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_KsVqaVAf3alAtCCkQe4itE7W","name":"currentLocation","arguments":"{}","status":"completed"},{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_X2PAkDJInno9VVnNkDrfhboW","name":"weather","arguments":"{\\"location\\":\\"Rome\\"}","status":"completed"}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":{"input_tokens":0,"input_tokens_details":{"cached_tokens":0},"output_tokens":0,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":0},"user":null,"metadata":{}}}\n\n`,
-        ],
-      };
+          ]
+        `);
 
-      const { stream } = await createModel('gpt-4o').doStream({
-        tools: TEST_TOOLS,
-        prompt: TEST_PROMPT,
-        includeRawChunks: false,
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+          },
+          include: ['reasoning.encrypted_content'],
+        });
       });
 
-      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
-        [
-          {
-            "type": "stream-start",
-            "warnings": [],
-          },
-          {
-            "id": "resp_67cb13a755c08190acbe3839a49632fc",
-            "modelId": "gpt-4o-2024-07-18",
-            "timestamp": 2025-03-07T15:41:27.000Z,
-            "type": "response-metadata",
-          },
-          {
-            "id": "call_6KxSghkb4MVnunFH2TxPErLP",
-            "toolName": "currentLocation",
-            "type": "tool-input-start",
-          },
-          {
-            "delta": "{}",
-            "id": "call_6KxSghkb4MVnunFH2TxPErLP",
-            "type": "tool-input-delta",
-          },
-          {
-            "id": "call_pgjcAI4ZegMkP6bsAV7sfrJA",
-            "type": "tool-input-end",
-          },
-          {
-            "input": "{}",
-            "toolCallId": "call_pgjcAI4ZegMkP6bsAV7sfrJA",
-            "toolName": "currentLocation",
-            "type": "tool-call",
-          },
-          {
-            "id": "call_Dg6WUmFHNeR5JxX1s53s1G4b",
-            "toolName": "weather",
-            "type": "tool-input-start",
-          },
-          {
-            "delta": "{",
-            "id": "call_Dg6WUmFHNeR5JxX1s53s1G4b",
-            "type": "tool-input-delta",
+      it('should handle multiple reasoning blocks', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'o3-mini-2025-01-31',
+            output: [
+              {
+                id: 'rs_first_6808709f6fcc8191ad2e2fdd784017b3',
+                type: 'reasoning',
+                summary: [
+                  {
+                    type: 'summary_text',
+                    text: '**Initial analysis**\n\nFirst reasoning block: analyzing the problem structure.',
+                  },
+                  {
+                    type: 'summary_text',
+                    text: '**Deeper consideration**\n\nLet me think about the various approaches available.',
+                  },
+                ],
+              },
+              {
+                id: 'msg_67c97c02656c81908e080dfdf4a03cd1',
+                type: 'message',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: 'Let me think about this step by step.',
+                    annotations: [],
+                  },
+                ],
+              },
+              {
+                id: 'rs_second_7908809g7gcc9291be3e3fee895028c4',
+                type: 'reasoning',
+                summary: [
+                  {
+                    type: 'summary_text',
+                    text: 'Second reasoning block: considering alternative approaches.',
+                  },
+                ],
+              },
+              {
+                id: 'msg_final_78d08d03767d92908f25523f5ge51e77',
+                type: 'message',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: 'Based on my analysis, here is the solution.',
+                    annotations: [],
+                  },
+                ],
+              },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: 'medium',
+              summary: 'auto',
+            },
+            store: true,
+            temperature: null,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [],
+            top_p: null,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 45,
+              input_tokens_details: {
+                cached_tokens: 0,
+              },
+              output_tokens: 628,
+              output_tokens_details: {
+                reasoning_tokens: 420,
+              },
+              total_tokens: 673,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
+
+        const result = await createModel('o3-mini').doGenerate({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'medium',
+              reasoningSummary: 'auto',
+            },
+          },
+        });
+
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": null,
+                },
+              },
+              "text": "**Initial analysis**
+
+          First reasoning block: analyzing the problem structure.",
+              "type": "reasoning",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  "reasoningEncryptedContent": null,
+                },
+              },
+              "text": "**Deeper consideration**
+
+          Let me think about the various approaches available.",
+              "type": "reasoning",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                },
+              },
+              "text": "Let me think about this step by step.",
+              "type": "text",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "rs_second_7908809g7gcc9291be3e3fee895028c4",
+                  "reasoningEncryptedContent": null,
+                },
+              },
+              "text": "Second reasoning block: considering alternative approaches.",
+              "type": "reasoning",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                },
+              },
+              "text": "Based on my analysis, here is the solution.",
+              "type": "text",
+            },
+          ]
+        `);
+
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'medium',
+            summary: 'auto',
+          },
+        });
+      });
+    });
+
+    describe('tool calls', () => {
+      beforeEach(() => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'gpt-4o-2024-07-18',
+            output: [
+              {
+                type: 'function_call',
+                id: 'fc_67caf7f4c1ec8190b27edfb5580cfd31',
+                call_id: 'call_0NdsJqOS8N3J9l2p0p4WpYU9',
+                name: 'weather',
+                arguments: '{"location":"San Francisco"}',
+                status: 'completed',
+              },
+              {
+                type: 'function_call',
+                id: 'fc_67caf7f5071c81908209c2909c77af05',
+                call_id: 'call_gexo0HtjUfmAIW4gjNOgyrcr',
+                name: 'cityAttractions',
+                arguments: '{"city":"San Francisco"}',
+                status: 'completed',
+              },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: null,
+              summary: null,
+            },
+            store: true,
+            temperature: 1,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [
+              {
+                type: 'function',
+                description: 'Get the weather in a location',
+                name: 'weather',
+                parameters: {
+                  type: 'object',
+                  properties: {
+                    location: {
+                      type: 'string',
+                      description: 'The location to get the weather for',
+                    },
+                  },
+                  required: ['location'],
+                  additionalProperties: false,
+                },
+                strict: true,
+              },
+              {
+                type: 'function',
+                description: null,
+                name: 'cityAttractions',
+                parameters: {
+                  type: 'object',
+                  properties: {
+                    city: {
+                      type: 'string',
+                    },
+                  },
+                  required: ['city'],
+                  additionalProperties: false,
+                },
+                strict: true,
+              },
+            ],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 34,
+              output_tokens: 538,
+              output_tokens_details: {
+                reasoning_tokens: 0,
+              },
+              total_tokens: 572,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
+      });
+
+      it('should generate tool calls', async () => {
+        const result = await createModel('gpt-4o').doGenerate({
+          prompt: TEST_PROMPT,
+          tools: TEST_TOOLS,
+        });
+
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "input": "{"location":"San Francisco"}",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "fc_67caf7f4c1ec8190b27edfb5580cfd31",
+                },
+              },
+              "toolCallId": "call_0NdsJqOS8N3J9l2p0p4WpYU9",
+              "toolName": "weather",
+              "type": "tool-call",
+            },
+            {
+              "input": "{"city":"San Francisco"}",
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "fc_67caf7f5071c81908209c2909c77af05",
+                },
+              },
+              "toolCallId": "call_gexo0HtjUfmAIW4gjNOgyrcr",
+              "toolName": "cityAttractions",
+              "type": "tool-call",
+            },
+          ]
+        `);
+      });
+
+      it('should have tool-calls finish reason', async () => {
+        const result = await createModel('gpt-4o').doGenerate({
+          prompt: TEST_PROMPT,
+          tools: TEST_TOOLS,
+        });
+
+        expect(result.finishReason).toStrictEqual('tool-calls');
+      });
+    });
+
+    describe('web search', () => {
+      const outputText = `Last week in San Francisco, several notable events and developments took place:\n\n**Bruce Lee Statue in Chinatown**\n\nThe Chinese Historical Society of America Museum announced plans to install a Bruce Lee statue in Chinatown. This initiative, supported by the Rose Pak Community Fund, the Bruce Lee Foundation, and Stand With Asians, aims to honor Lee's contributions to film and martial arts. Artist Arnie Kim has been commissioned for the project, with a fundraising goal of $150,000. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com))\n\n**Office Leasing Revival**\n\nThe Bay Area experienced a resurgence in office leasing, securing 11 of the largest U.S. office leases in 2024. This trend, driven by the tech industry's growth and advancements in generative AI, suggests a potential boost to downtown recovery through increased foot traffic. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com))\n\n**Spring Blooms in the Bay Area**\n\nWith the arrival of spring, several locations in the Bay Area are showcasing vibrant blooms. Notable spots include the Conservatory of Flowers, Japanese Tea Garden, Queen Wilhelmina Tulip Garden, and the San Francisco Botanical Garden, each offering unique floral displays. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com))\n\n**Oceanfront Great Highway Park**\n\nSan Francisco's long-awaited Oceanfront Great Highway park is set to open on April 12. This 43-acre, car-free park will span a two-mile stretch of the Great Highway from Lincoln Way to Sloat Boulevard, marking the largest pedestrianization project in California's history. The park follows voter approval of Proposition K, which permanently bans cars on part of the highway. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com))\n\n**Warmer Spring Seasons**\n\nAn analysis by Climate Central revealed that San Francisco, along with most U.S. cities, is experiencing increasingly warmer spring seasons. Over a 55-year period from 1970 to 2024, the national average temperature during March through May rose by 2.4°F. This warming trend poses various risks, including early snowmelt and increased wildfire threats. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com))\n\n\n# Key San Francisco Developments Last Week:\n- [Bruce Lee statue to be installed in SF Chinatown](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com)\n- [The Bay Area is set to make an office leasing comeback](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com)\n- [Oceanfront Great Highway park set to open in April](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com)`;
+
+      beforeEach(() => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67cf2b2f6bd081909be2c8054ddef0eb',
+            object: 'response',
+            created_at: 1741630255,
+            status: 'completed',
+            error: null,
+            incomplete_details: null,
+            instructions: null,
+            max_output_tokens: null,
+            model: 'gpt-4o-2024-07-18',
+            output: [
+              {
+                type: 'web_search_call',
+                id: 'ws_67cf2b3051e88190b006770db6fdb13d',
+                status: 'completed',
+              },
+              {
+                type: 'message',
+                id: 'msg_67cf2b35467481908f24412e4fd40d66',
+                status: 'completed',
+                role: 'assistant',
+                content: [
+                  {
+                    type: 'output_text',
+                    text: outputText,
+                    annotations: [
+                      {
+                        type: 'url_citation',
+                        start_index: 486,
+                        end_index: 606,
+                        url: 'https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com',
+                        title:
+                          'Bruce Lee statue to be installed in SF Chinatown',
+                      },
+                      {
+                        type: 'url_citation',
+                        start_index: 912,
+                        end_index: 1035,
+                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com',
+                        title:
+                          'The Bay Area is set to make an office leasing comeback',
+                      },
+                      {
+                        type: 'url_citation',
+                        start_index: 1346,
+                        end_index: 1472,
+                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com',
+                        title: 'Where to see spring blooms in the Bay Area',
+                      },
+                      {
+                        type: 'url_citation',
+                        start_index: 1884,
+                        end_index: 2023,
+                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com',
+                        title:
+                          'Oceanfront Great Highway park set to open in April',
+                      },
+                      {
+                        type: 'url_citation',
+                        start_index: 2404,
+                        end_index: 2540,
+                        url: 'https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com',
+                        title:
+                          "San Francisco's spring seasons are getting warmer",
+                      },
+                    ],
+                  },
+                ],
+              },
+            ],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: null,
+              summary: null,
+            },
+            store: true,
+            temperature: 0,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [
+              {
+                type: 'web_search_preview',
+                search_context_size: 'medium',
+                user_location: {
+                  type: 'approximate',
+                  city: null,
+                  country: 'US',
+                  region: null,
+                  timezone: null,
+                },
+              },
+            ],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 327,
+              input_tokens_details: {
+                cached_tokens: 0,
+              },
+              output_tokens: 770,
+              output_tokens_details: {
+                reasoning_tokens: 0,
+              },
+              total_tokens: 1097,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
+      });
+
+      it('should generate text and sources', async () => {
+        const result = await createModel('gpt-4o').doGenerate({
+          prompt: TEST_PROMPT,
+        });
+
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "input": "",
+              "providerExecuted": true,
+              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "web_search_preview",
+              "type": "tool-call",
+            },
+            {
+              "providerExecuted": true,
+              "result": {
+                "status": "completed",
+              },
+              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "web_search_preview",
+              "type": "tool-result",
+            },
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67cf2b35467481908f24412e4fd40d66",
+                },
+              },
+              "text": "Last week in San Francisco, several notable events and developments took place:
+
+          **Bruce Lee Statue in Chinatown**
+
+          The Chinese Historical Society of America Museum announced plans to install a Bruce Lee statue in Chinatown. This initiative, supported by the Rose Pak Community Fund, the Bruce Lee Foundation, and Stand With Asians, aims to honor Lee's contributions to film and martial arts. Artist Arnie Kim has been commissioned for the project, with a fundraising goal of $150,000. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com))
+
+          **Office Leasing Revival**
+
+          The Bay Area experienced a resurgence in office leasing, securing 11 of the largest U.S. office leases in 2024. This trend, driven by the tech industry's growth and advancements in generative AI, suggests a potential boost to downtown recovery through increased foot traffic. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com))
+
+          **Spring Blooms in the Bay Area**
+
+          With the arrival of spring, several locations in the Bay Area are showcasing vibrant blooms. Notable spots include the Conservatory of Flowers, Japanese Tea Garden, Queen Wilhelmina Tulip Garden, and the San Francisco Botanical Garden, each offering unique floral displays. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com))
+
+          **Oceanfront Great Highway Park**
+
+          San Francisco's long-awaited Oceanfront Great Highway park is set to open on April 12. This 43-acre, car-free park will span a two-mile stretch of the Great Highway from Lincoln Way to Sloat Boulevard, marking the largest pedestrianization project in California's history. The park follows voter approval of Proposition K, which permanently bans cars on part of the highway. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com))
+
+          **Warmer Spring Seasons**
+
+          An analysis by Climate Central revealed that San Francisco, along with most U.S. cities, is experiencing increasingly warmer spring seasons. Over a 55-year period from 1970 to 2024, the national average temperature during March through May rose by 2.4°F. This warming trend poses various risks, including early snowmelt and increased wildfire threats. ([axios.com](https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com))
+
+
+          # Key San Francisco Developments Last Week:
+          - [Bruce Lee statue to be installed in SF Chinatown](https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com)
+          - [The Bay Area is set to make an office leasing comeback](https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com)
+          - [Oceanfront Great Highway park set to open in April](https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com)",
+              "type": "text",
+            },
+            {
+              "id": "id-0",
+              "sourceType": "url",
+              "title": "Bruce Lee statue to be installed in SF Chinatown",
+              "type": "source",
+              "url": "https://www.axios.com/local/san-francisco/2025/03/07/bruce-lee-statue-sf-chinatown?utm_source=chatgpt.com",
+            },
+            {
+              "id": "id-1",
+              "sourceType": "url",
+              "title": "The Bay Area is set to make an office leasing comeback",
+              "type": "source",
+              "url": "https://www.axios.com/local/san-francisco/2025/03/03/bay-area-office-leasing-activity?utm_source=chatgpt.com",
+            },
+            {
+              "id": "id-2",
+              "sourceType": "url",
+              "title": "Where to see spring blooms in the Bay Area",
+              "type": "source",
+              "url": "https://www.axios.com/local/san-francisco/2025/03/03/where-to-see-spring-blooms-bay-area?utm_source=chatgpt.com",
+            },
+            {
+              "id": "id-3",
+              "sourceType": "url",
+              "title": "Oceanfront Great Highway park set to open in April",
+              "type": "source",
+              "url": "https://www.axios.com/local/san-francisco/2025/03/03/great-highway-park-opening-april-recall-campaign?utm_source=chatgpt.com",
+            },
+            {
+              "id": "id-4",
+              "sourceType": "url",
+              "title": "San Francisco's spring seasons are getting warmer",
+              "type": "source",
+              "url": "https://www.axios.com/local/san-francisco/2025/03/03/climate-weather-spring-temperatures-warmer-sf?utm_source=chatgpt.com",
+            },
+          ]
+        `);
+      });
+    });
+
+    describe('errors', () => {
+      it('should throw an API call error when the response contains an error part', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body: {
+            id: 'resp_67c97c0203188190a025beb4a75242bc',
+            object: 'response',
+            created_at: 1741257730,
+            status: 'completed',
+            error: {
+              code: 'ERR_SOMETHING',
+              message: 'Something went wrong',
+            },
+            incomplete_details: null,
+            input: [],
+            instructions: null,
+            max_output_tokens: null,
+            model: 'gpt-4o-2024-07-18',
+            output: [],
+            parallel_tool_calls: true,
+            previous_response_id: null,
+            reasoning: {
+              effort: null,
+              summary: null,
+            },
+            store: true,
+            temperature: 1,
+            text: {
+              format: {
+                type: 'text',
+              },
+            },
+            tool_choice: 'auto',
+            tools: [],
+            top_p: 1,
+            truncation: 'disabled',
+            usage: {
+              input_tokens: 345,
+              input_tokens_details: {
+                cached_tokens: 234,
+              },
+              output_tokens: 538,
+              output_tokens_details: {
+                reasoning_tokens: 123,
+              },
+              total_tokens: 572,
+            },
+            user: null,
+            metadata: {},
+          },
+        };
+
+        expect(
+          createModel('gpt-4o').doGenerate({
+            prompt: TEST_PROMPT,
+          }),
+        ).rejects.toThrow('Something went wrong');
+      });
+    });
+  });
+
+  describe('doStream', () => {
+    it('should stream text deltas', async () => {
+      server.urls['https://api.openai.com/v1/responses'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.in_progress","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"in_progress","role":"assistant","content":[]}}\n\n`,
+          `data:{"type":"response.content_part.added","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":"Hello,"}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":" World!"}\n\n`,
+          `data:{"type":"response.output_text.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"text":"Hello, World!"}\n\n`,
+          `data:{"type":"response.content_part.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hello, World!","annotations":[]}}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hello, World!","annotations":[]}]}}\n\n`,
+          `data:{"type":"response.completed","response":{"id":"resp_67c9a878139c8190aa2e3105411b408b","object":"response","created_at":1741269112,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hello, World!","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":{"input_tokens":543,"input_tokens_details":{"cached_tokens":234},"output_tokens":478,"output_tokens_details":{"reasoning_tokens":123},"total_tokens":512},"user":null,"metadata":{}}}\n\n`,
+        ],
+      };
+
+      const { stream } = await createModel('gpt-4o').doStream({
+        prompt: TEST_PROMPT,
+        includeRawChunks: false,
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+            "modelId": "gpt-4o-2024-07-18",
+            "timestamp": 2025-03-06T13:50:19.000Z,
+            "type": "response-metadata",
+          },
+          {
+            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+            "providerMetadata": {
+              "openai": {
+                "itemId": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+              },
+            },
+            "type": "text-start",
+          },
+          {
+            "delta": "Hello,",
+            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+            "type": "text-delta",
+          },
+          {
+            "delta": " World!",
+            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+            "type": "text-delta",
+          },
+          {
+            "id": "msg_67c9a8787f4c8190b49c858d4c1cf20c",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "providerMetadata": {
+              "openai": {
+                "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+              },
+            },
+            "type": "finish",
+            "usage": {
+              "cachedInputTokens": 234,
+              "inputTokens": 543,
+              "outputTokens": 478,
+              "reasoningTokens": 123,
+              "totalTokens": 1021,
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should send finish reason for incomplete response', async () => {
+      server.urls['https://api.openai.com/v1/responses'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.in_progress","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0.3,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"in_progress","role":"assistant","content":[]}}\n\n`,
+          `data:{"type":"response.content_part.added","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":0,"content_index":0,"delta":"Hello,"}\n\n`,
+          `data:{"type":"response.output_text.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"text":"Hello,!"}\n\n`,
+          `data:{"type":"response.content_part.done","item_id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hello,","annotations":[]}}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9a8787f4c8190b49c858d4c1cf20c","type":"message","status":"incomplete","role":"assistant","content":[{"type":"output_text","text":"Hello,","annotations":[]}]}}\n\n`,
+          `data:{"type":"response.incomplete","response":{"id":"resp_67cadb40a0708190ac2763c0b6960f6f","object":"response","created_at":1741347648,"status":"incomplete","error":null,"incomplete_details":{"reason":"max_output_tokens"},"instructions":null,"max_output_tokens":100,"model":"gpt-4o-2024-07-18","output":[{"type":"message","id":"msg_67cadb410ccc81909fe1d8f427b9cf02","status":"incomplete","role":"assistant","content":[{"type":"output_text","text":"Hello,","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1,"truncation":"disabled","usage":{"input_tokens":0,"input_tokens_details":{"cached_tokens":0},"output_tokens":0,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":0},"user":null,"metadata":{}}}\n\n`,
+        ],
+      };
+
+      const { stream } = await createModel('gpt-4o').doStream({
+        prompt: TEST_PROMPT,
+        includeRawChunks: false,
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+            "modelId": "gpt-4o-2024-07-18",
+            "timestamp": 2025-03-06T13:50:19.000Z,
+            "type": "response-metadata",
+          },
+          {
+            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+            "providerMetadata": {
+              "openai": {
+                "itemId": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+              },
+            },
+            "type": "text-start",
+          },
+          {
+            "delta": "Hello,",
+            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
+            "type": "text-delta",
+          },
+          {
+            "id": "msg_67c9a8787f4c8190b49c858d4c1cf20c",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "length",
+            "providerMetadata": {
+              "openai": {
+                "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+              },
+            },
+            "type": "finish",
+            "usage": {
+              "cachedInputTokens": 0,
+              "inputTokens": 0,
+              "outputTokens": 0,
+              "reasoningTokens": 0,
+              "totalTokens": 0,
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should send streaming tool calls', async () => {
+      server.urls['https://api.openai.com/v1/responses'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data:{"type":"response.created","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.in_progress","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":0,"item":{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_6KxSghkb4MVnunFH2TxPErLP","name":"currentLocation","arguments":"","status":"completed"}}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a838088190be08eb3927c87501","output_index":0,"delta":"{}"}\n\n`,
+          `data:{"type":"response.function_call_arguments.done","item_id":"fc_67cb13a838088190be08eb3927c87501","output_index":0,"arguments":"{}"}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":0,"item":{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_pgjcAI4ZegMkP6bsAV7sfrJA","name":"currentLocation","arguments":"{}","status":"completed"}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":1,"item":{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_Dg6WUmFHNeR5JxX1s53s1G4b","name":"weather","arguments":"","status":"in_progress"}}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"{"}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"location"}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\":"}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"Rome"}\n\n`,
+          `data:{"type":"response.function_call_arguments.delta","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"delta":"\\"}"}\n\n`,
+          `data:{"type":"response.function_call_arguments.done","item_id":"fc_67cb13a858f081908a600343fa040f47","output_index":1,"arguments":"{\\"location\\":\\"Rome\\"}"}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":1,"item":{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_X2PAkDJInno9VVnNkDrfhboW","name":"weather","arguments":"{\\"location\\":\\"Rome\\"}","status":"completed"}}\n\n`,
+          `data:{"type":"response.completed","response":{"id":"resp_67cb13a755c08190acbe3839a49632fc","object":"response","created_at":1741362087,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-2024-07-18","output":[{"type":"function_call","id":"fc_67cb13a838088190be08eb3927c87501","call_id":"call_KsVqaVAf3alAtCCkQe4itE7W","name":"currentLocation","arguments":"{}","status":"completed"},{"type":"function_call","id":"fc_67cb13a858f081908a600343fa040f47","call_id":"call_X2PAkDJInno9VVnNkDrfhboW","name":"weather","arguments":"{\\"location\\":\\"Rome\\"}","status":"completed"}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"Get the current location.","name":"currentLocation","parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":true},{"type":"function","description":"Get the weather in a location","name":"weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The location to get the weather for"}},"required":["location"],"additionalProperties":false},"strict":true}],"top_p":1,"truncation":"disabled","usage":{"input_tokens":0,"input_tokens_details":{"cached_tokens":0},"output_tokens":0,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":0},"user":null,"metadata":{}}}\n\n`,
+        ],
+      };
+
+      const { stream } = await createModel('gpt-4o').doStream({
+        tools: TEST_TOOLS,
+        prompt: TEST_PROMPT,
+        includeRawChunks: false,
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "resp_67cb13a755c08190acbe3839a49632fc",
+            "modelId": "gpt-4o-2024-07-18",
+            "timestamp": 2025-03-07T15:41:27.000Z,
+            "type": "response-metadata",
+          },
+          {
+            "id": "call_6KxSghkb4MVnunFH2TxPErLP",
+            "toolName": "currentLocation",
+            "type": "tool-input-start",
+          },
+          {
+            "delta": "{}",
+            "id": "call_6KxSghkb4MVnunFH2TxPErLP",
+            "type": "tool-input-delta",
+          },
+          {
+            "id": "call_pgjcAI4ZegMkP6bsAV7sfrJA",
+            "type": "tool-input-end",
+          },
+          {
+            "input": "{}",
+            "providerMetadata": {
+              "openai": {
+                "itemId": "fc_67cb13a838088190be08eb3927c87501",
+              },
+            },
+            "toolCallId": "call_pgjcAI4ZegMkP6bsAV7sfrJA",
+            "toolName": "currentLocation",
+            "type": "tool-call",
+          },
+          {
+            "id": "call_Dg6WUmFHNeR5JxX1s53s1G4b",
+            "toolName": "weather",
+            "type": "tool-input-start",
+          },
+          {
+            "delta": "{",
+            "id": "call_Dg6WUmFHNeR5JxX1s53s1G4b",
+            "type": "tool-input-delta",
           },
           {
             "delta": ""location",
@@ -1404,503 +2344,1313 @@ describe('OpenAIResponsesLanguageModel', () => {
             "type": "tool-input-delta",
           },
           {
-            "id": "call_X2PAkDJInno9VVnNkDrfhboW",
-            "type": "tool-input-end",
+            "id": "call_X2PAkDJInno9VVnNkDrfhboW",
+            "type": "tool-input-end",
+          },
+          {
+            "input": "{"location":"Rome"}",
+            "providerMetadata": {
+              "openai": {
+                "itemId": "fc_67cb13a858f081908a600343fa040f47",
+              },
+            },
+            "toolCallId": "call_X2PAkDJInno9VVnNkDrfhboW",
+            "toolName": "weather",
+            "type": "tool-call",
+          },
+          {
+            "finishReason": "tool-calls",
+            "providerMetadata": {
+              "openai": {
+                "responseId": "resp_67cb13a755c08190acbe3839a49632fc",
+              },
+            },
+            "type": "finish",
+            "usage": {
+              "cachedInputTokens": 0,
+              "inputTokens": 0,
+              "outputTokens": 0,
+              "reasoningTokens": 0,
+              "totalTokens": 0,
+            },
+          },
+        ]
+      `);
+    });
+
+    it('should stream sources', async () => {
+      server.urls['https://api.openai.com/v1/responses'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data:{"type":"response.created","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.in_progress","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":0,"item":{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"in_progress"}}\n\n`,
+          `data:{"type":"response.web_search_call.in_progress","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
+          `data:{"type":"response.web_search_call.searching","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
+          `data:{"type":"response.web_search_call.completed","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":0,"item":{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"completed"}}\n\n`,
+          `data:{"type":"response.output_item.added","output_index":1,"item":{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"in_progress","role":"assistant","content":[]}}\n\n`,
+          `data:{"type":"response.content_part.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"Last week"}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":" in San Francisco"}\n\n`,
+          `data:{"type":"response.output_text.annotation.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"annotation_index":0,"annotation":{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"}}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":" a themed party"}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"([axios.com](https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com))"}\n\n`,
+          `data:{"type":"response.output_text.annotation.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"annotation_index":1,"annotation":{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}}\n\n`,
+          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"."}\n\n`,
+          `data:{"type":"response.output_text.done","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"text":"Last week in San Francisco a themed..."}\n\n`,
+          `data:{"type":"response.content_part.done","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"part":{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}}\n\n`,
+          `data:{"type":"response.output_item.done","output_index":1,"item":{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}]}}\n\n`,
+          `data:{"type":"response.completed","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"completed"},{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":{"input_tokens":327,"input_tokens_details":{"cached_tokens":0},"output_tokens":834,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":1161},"user":null,"metadata":{}}}\n\n`,
+        ],
+      };
+
+      const { stream } = await createModel('gpt-4o-mini').doStream({
+        prompt: TEST_PROMPT,
+        includeRawChunks: false,
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "resp_67cf3390786881908b27489d7e8cfb6b",
+            "modelId": "gpt-4o-mini-2024-07-18",
+            "timestamp": 2025-03-10T18:46:40.000Z,
+            "type": "response-metadata",
+          },
+          {
+            "id": "ws_67cf3390e9608190869b5d45698a7067",
+            "toolName": "web_search_preview",
+            "type": "tool-input-start",
+          },
+          {
+            "id": "ws_67cf3390e9608190869b5d45698a7067",
+            "type": "tool-input-end",
+          },
+          {
+            "input": "",
+            "providerExecuted": true,
+            "toolCallId": "ws_67cf3390e9608190869b5d45698a7067",
+            "toolName": "web_search_preview",
+            "type": "tool-call",
+          },
+          {
+            "providerExecuted": true,
+            "result": {
+              "status": "completed",
+              "type": "web_search_tool_result",
+            },
+            "toolCallId": "ws_67cf3390e9608190869b5d45698a7067",
+            "toolName": "web_search_preview",
+            "type": "tool-result",
+          },
+          {
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "providerMetadata": {
+              "openai": {
+                "itemId": "msg_67cf33924ea88190b8c12bf68c1f6416",
+              },
+            },
+            "type": "text-start",
+          },
+          {
+            "delta": "Last week",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-delta",
+          },
+          {
+            "delta": " in San Francisco",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-delta",
+          },
+          {
+            "id": "id-0",
+            "sourceType": "url",
+            "title": "San Francisco Events in March 2025: Festivals, Theater & Easter",
+            "type": "source",
+            "url": "https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com",
+          },
+          {
+            "delta": " a themed party",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-delta",
+          },
+          {
+            "delta": "([axios.com](https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com))",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-delta",
+          },
+          {
+            "id": "id-1",
+            "sourceType": "url",
+            "title": "SF weekend events: Giants FanFest, crab crawl and more",
+            "type": "source",
+            "url": "https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com",
+          },
+          {
+            "delta": ".",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-delta",
           },
           {
-            "input": "{"location":"Rome"}",
-            "toolCallId": "call_X2PAkDJInno9VVnNkDrfhboW",
-            "toolName": "weather",
-            "type": "tool-call",
+            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
+            "type": "text-end",
           },
           {
             "finishReason": "tool-calls",
             "providerMetadata": {
               "openai": {
-                "responseId": "resp_67cb13a755c08190acbe3839a49632fc",
+                "responseId": "resp_67cf3390786881908b27489d7e8cfb6b",
               },
             },
             "type": "finish",
             "usage": {
               "cachedInputTokens": 0,
-              "inputTokens": 0,
-              "outputTokens": 0,
+              "inputTokens": 327,
+              "outputTokens": 834,
               "reasoningTokens": 0,
-              "totalTokens": 0,
+              "totalTokens": 1161,
             },
           },
         ]
       `);
     });
 
-    it('should stream sources', async () => {
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          `data:{"type":"response.created","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.in_progress","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":0,"item":{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"in_progress"}}\n\n`,
-          `data:{"type":"response.web_search_call.in_progress","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
-          `data:{"type":"response.web_search_call.searching","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
-          `data:{"type":"response.web_search_call.completed","output_index":0,"item_id":"ws_67cf3390e9608190869b5d45698a7067"}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":0,"item":{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"completed"}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":1,"item":{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"in_progress","role":"assistant","content":[]}}\n\n`,
-          `data:{"type":"response.content_part.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"Last week"}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":" in San Francisco"}\n\n`,
-          `data:{"type":"response.output_text.annotation.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"annotation_index":0,"annotation":{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":" a themed party"}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"([axios.com](https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com))"}\n\n`,
-          `data:{"type":"response.output_text.annotation.added","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"annotation_index":1,"annotation":{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"delta":"."}\n\n`,
-          `data:{"type":"response.output_text.done","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"text":"Last week in San Francisco a themed..."}\n\n`,
-          `data:{"type":"response.content_part.done","item_id":"msg_67cf33924ea88190b8c12bf68c1f6416","output_index":1,"content_index":0,"part":{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":1,"item":{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}]}}\n\n`,
-          `data:{"type":"response.completed","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[{"type":"web_search_call","id":"ws_67cf3390e9608190869b5d45698a7067","status":"completed"},{"type":"message","id":"msg_67cf33924ea88190b8c12bf68c1f6416","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Last week in San Francisco a themed party...","annotations":[{"type":"url_citation","start_index":383,"end_index":493,"url":"https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com","title":"San Francisco Events in March 2025: Festivals, Theater & Easter"},{"type":"url_citation","start_index":630,"end_index":762,"url":"https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com","title":"SF weekend events: Giants FanFest, crab crawl and more"}]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":{"input_tokens":327,"input_tokens_details":{"cached_tokens":0},"output_tokens":834,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":1161},"user":null,"metadata":{}}}\n\n`,
-        ],
-      };
+    describe('errors', () => {
+      it('should stream error parts', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67cf3390786881908b27489d7e8cfb6b","object":"response","created_at":1741632400,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"model":"gpt-4o-mini-2024-07-18","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"web_search_preview","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}}],"top_p":1,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            `data:{"type":"error","code":"ERR_SOMETHING","message":"Something went wrong","param":null,"sequence_number":1}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('gpt-4o-mini').doStream({
+          prompt: TEST_PROMPT,
+          includeRawChunks: false,
+        });
+
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+          [
+            {
+              "type": "stream-start",
+              "warnings": [],
+            },
+            {
+              "id": "resp_67cf3390786881908b27489d7e8cfb6b",
+              "modelId": "gpt-4o-mini-2024-07-18",
+              "timestamp": 2025-03-10T18:46:40.000Z,
+              "type": "response-metadata",
+            },
+            {
+              "error": {
+                "code": "ERR_SOMETHING",
+                "message": "Something went wrong",
+                "param": null,
+                "sequence_number": 1,
+                "type": "error",
+              },
+              "type": "error",
+            },
+            {
+              "finishReason": "unknown",
+              "providerMetadata": {
+                "openai": {
+                  "responseId": "resp_67cf3390786881908b27489d7e8cfb6b",
+                },
+              },
+              "type": "finish",
+              "usage": {
+                "inputTokens": undefined,
+                "outputTokens": undefined,
+                "totalTokens": undefined,
+              },
+            },
+          ]
+        `);
+      });
+    });
+
+    describe('reasoning', () => {
+      it('should handle reasoning with summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":"**Exploring burrito origins**\\n\\nThe user is"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":" curious about the debate regarding Taqueria La Cumbre and El Farolito."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":"**Investigating burrito origins**\\n\\nThere's a fascinating debate"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":" about who created the Mission burrito."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":"answer"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":" text"}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","summary":[{"type":"summary_text","text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."},{"type":"summary_text","text":"**Investigating burrito origins**\\n\\nThere's a fascinating debate about who created the Mission burrito."}]},{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"answer text","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":34,"input_tokens_details":{"cached_tokens":0},"output_tokens":538,"output_tokens_details":{"reasoning_tokens":320},"total_tokens":572},"user":null,"metadata":{}}}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('o3-mini').doStream({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: 'auto',
+            },
+          },
+          includeRawChunks: false,
+        });
+
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "stream-start",
+                "warnings": [],
+              },
+              {
+                "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                "modelId": "o3-mini-2025-01-31",
+                "timestamp": 2025-03-06T13:50:19.000Z,
+                "type": "response-metadata",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Exploring burrito origins**
+
+            The user is",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " curious about the debate regarding Taqueria La Cumbre and El Farolito.",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Investigating burrito origins**
+
+            There's a fascinating debate",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " about who created the Mission burrito.",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "answer",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "delta": " text",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-end",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "openai": {
+                    "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                  },
+                },
+                "type": "finish",
+                "usage": {
+                  "cachedInputTokens": 0,
+                  "inputTokens": 34,
+                  "outputTokens": 538,
+                  "reasoningTokens": 320,
+                  "totalTokens": 572,
+                },
+              },
+            ]
+          `);
+
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+            summary: 'auto',
+          },
+          stream: true,
+        });
+      });
+
+      it('should handle reasoning with empty summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":"answer"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":" text"}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","summary":[]},{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"answer text","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":34,"input_tokens_details":{"cached_tokens":0},"output_tokens":538,"output_tokens_details":{"reasoning_tokens":320},"total_tokens":572},"user":null,"metadata":{}}}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('o3-mini').doStream({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: null,
+            },
+          },
+          includeRawChunks: false,
+        });
+
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "stream-start",
+                "warnings": [],
+              },
+              {
+                "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                "modelId": "o3-mini-2025-01-31",
+                "timestamp": 2025-03-06T13:50:19.000Z,
+                "type": "response-metadata",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "answer",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "delta": " text",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-end",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "openai": {
+                    "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                  },
+                },
+                "type": "finish",
+                "usage": {
+                  "cachedInputTokens": 0,
+                  "inputTokens": 34,
+                  "outputTokens": 538,
+                  "reasoningTokens": 320,
+                  "totalTokens": 572,
+                },
+              },
+            ]
+          `);
+
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+          },
+          stream: true,
+        });
+      });
+
+      it('should handle encrypted content with summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_abc123"}}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":"**Exploring burrito origins**\\n\\nThe user is"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":" curious about the debate regarding Taqueria La Cumbre and El Farolito."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":"**Investigating burrito origins**\\n\\nThere's a fascinating debate"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":" about who created the Mission burrito."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_final_def456"}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":"answer"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":" text"}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_final_def456","summary":[{"type":"summary_text","text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."},{"type":"summary_text","text":"**Investigating burrito origins**\\n\\nThere's a fascinating debate about who created the Mission burrito."}]},{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"answer text","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":34,"input_tokens_details":{"cached_tokens":0},"output_tokens":538,"output_tokens_details":{"reasoning_tokens":320},"total_tokens":572},"user":null,"metadata":{}}}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('o3-mini').doStream({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: 'auto',
+              include: ['reasoning.encrypted_content'],
+            },
+          },
+          includeRawChunks: false,
+        });
+
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "stream-start",
+                "warnings": [],
+              },
+              {
+                "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                "modelId": "o3-mini-2025-01-31",
+                "timestamp": 2025-03-06T13:50:19.000Z,
+                "type": "response-metadata",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Exploring burrito origins**
+
+            The user is",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " curious about the debate regarding Taqueria La Cumbre and El Farolito.",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Investigating burrito origins**
+
+            There's a fascinating debate",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " about who created the Mission burrito.",
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_final_def456",
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_final_def456",
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "answer",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "delta": " text",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-end",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "openai": {
+                    "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                  },
+                },
+                "type": "finish",
+                "usage": {
+                  "cachedInputTokens": 0,
+                  "inputTokens": 34,
+                  "outputTokens": 538,
+                  "reasoningTokens": 320,
+                  "totalTokens": 572,
+                },
+              },
+            ]
+          `);
 
-      const { stream } = await createModel('gpt-4o-mini').doStream({
-        prompt: TEST_PROMPT,
-        includeRawChunks: false,
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+            summary: 'auto',
+          },
+          include: ['reasoning.encrypted_content'],
+          stream: true,
+        });
       });
 
-      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
-        [
-          {
-            "type": "stream-start",
-            "warnings": [],
-          },
-          {
-            "id": "resp_67cf3390786881908b27489d7e8cfb6b",
-            "modelId": "gpt-4o-mini-2024-07-18",
-            "timestamp": 2025-03-10T18:46:40.000Z,
-            "type": "response-metadata",
-          },
-          {
-            "id": "ws_67cf3390e9608190869b5d45698a7067",
-            "toolName": "web_search_preview",
-            "type": "tool-input-start",
-          },
-          {
-            "id": "ws_67cf3390e9608190869b5d45698a7067",
-            "type": "tool-input-end",
-          },
-          {
-            "input": "",
-            "providerExecuted": true,
-            "toolCallId": "ws_67cf3390e9608190869b5d45698a7067",
-            "toolName": "web_search_preview",
-            "type": "tool-call",
-          },
-          {
-            "providerExecuted": true,
-            "result": {
-              "status": "completed",
-              "type": "web_search_tool_result",
+      it('should handle encrypted content with empty summary', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_abc123"}}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_final_def456"}}\n\n`,
+            `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":"answer"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":" text"}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","encrypted_content":"encrypted_reasoning_data_final_def456","summary":[]},{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"answer text","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":34,"input_tokens_details":{"cached_tokens":0},"output_tokens":538,"output_tokens_details":{"reasoning_tokens":320},"total_tokens":572},"user":null,"metadata":{}}}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('o3-mini').doStream({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'low',
+              reasoningSummary: null,
+              include: ['reasoning.encrypted_content'],
             },
-            "toolCallId": "ws_67cf3390e9608190869b5d45698a7067",
-            "toolName": "web_search_preview",
-            "type": "tool-result",
           },
-          {
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-start",
-          },
-          {
-            "delta": "Last week",
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-delta",
-          },
-          {
-            "delta": " in San Francisco",
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-delta",
-          },
-          {
-            "id": "id-0",
-            "sourceType": "url",
-            "title": "San Francisco Events in March 2025: Festivals, Theater & Easter",
-            "type": "source",
-            "url": "https://www.sftourismtips.com/san-francisco-events-in-march.html?utm_source=chatgpt.com",
-          },
-          {
-            "delta": " a themed party",
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-delta",
-          },
-          {
-            "delta": "([axios.com](https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com))",
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-delta",
-          },
-          {
-            "id": "id-1",
-            "sourceType": "url",
-            "title": "SF weekend events: Giants FanFest, crab crawl and more",
-            "type": "source",
-            "url": "https://www.axios.com/local/san-francisco/2025/03/06/sf-events-march-what-to-do-giants-fanfest?utm_source=chatgpt.com",
-          },
-          {
-            "delta": ".",
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-delta",
-          },
-          {
-            "id": "msg_67cf33924ea88190b8c12bf68c1f6416",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "tool-calls",
-            "providerMetadata": {
-              "openai": {
-                "responseId": "resp_67cf3390786881908b27489d7e8cfb6b",
+          includeRawChunks: false,
+        });
+
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "stream-start",
+                "warnings": [],
               },
-            },
-            "type": "finish",
-            "usage": {
-              "cachedInputTokens": 0,
-              "inputTokens": 327,
-              "outputTokens": 834,
-              "reasoningTokens": 0,
-              "totalTokens": 1161,
+              {
+                "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                "modelId": "o3-mini-2025-01-31",
+                "timestamp": 2025-03-06T13:50:19.000Z,
+                "type": "response-metadata",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_abc123",
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "id": "rs_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": "encrypted_reasoning_data_final_def456",
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "answer",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "delta": " text",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-end",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "openai": {
+                    "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                  },
+                },
+                "type": "finish",
+                "usage": {
+                  "cachedInputTokens": 0,
+                  "inputTokens": 34,
+                  "outputTokens": 538,
+                  "reasoningTokens": 320,
+                  "totalTokens": 572,
+                },
+              },
+            ]
+          `);
+
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'low',
+          },
+          include: ['reasoning.encrypted_content'],
+          stream: true,
+        });
+      });
+
+      it('should handle multiple reasoning blocks', async () => {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'stream-chunks',
+          chunks: [
+            `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"medium","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
+            // First reasoning block (with multiple summary parts)
+            `data:{"type":"response.output_item.added","output_index":0,"item":{"id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":"**Initial analysis**\\n\\nFirst reasoning block:"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0,"delta":" analyzing the problem structure."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":"**Deeper consideration**\\n\\nLet me think about"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1,"delta":" the various approaches available."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","summary_index":1}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":0,"item":{"id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning"}}\n\n`,
+            // First message
+            `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":"Let me think about"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_67c97c02656c81908e080dfdf4a03cd1","delta":" this step by step."}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message"}}\n\n`,
+            // Second reasoning block
+            `data:{"type":"response.output_item.added","output_index":2,"item":{"id":"rs_second_7908809g7gcc9291be3e3fee895028c4","type":"reasoning"}}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.added","item_id":"rs_second_7908809g7gcc9291be3e3fee895028c4","summary_index":0}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_second_7908809g7gcc9291be3e3fee895028c4","summary_index":0,"delta":"Second reasoning block:"}\n\n`,
+            `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_second_7908809g7gcc9291be3e3fee895028c4","summary_index":0,"delta":" considering alternative approaches."}\n\n`,
+            `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_second_7908809g7gcc9291be3e3fee895028c4","summary_index":0}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":2,"item":{"id":"rs_second_7908809g7gcc9291be3e3fee895028c4","type":"reasoning"}}\n\n`,
+            // Final message
+            `data:{"type":"response.output_item.added","output_index":3,"item":{"id":"msg_final_78d08d03767d92908f25523f5ge51e77","type":"message"}}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_final_78d08d03767d92908f25523f5ge51e77","delta":"Based on my analysis,"}\n\n`,
+            `data:{"type":"response.output_text.delta","item_id":"msg_final_78d08d03767d92908f25523f5ge51e77","delta":" here is the solution."}\n\n`,
+            `data:{"type":"response.output_item.done","output_index":3,"item":{"id":"msg_final_78d08d03767d92908f25523f5ge51e77","type":"message"}}\n\n`,
+            `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_first_6808709f6fcc8191ad2e2fdd784017b3","type":"reasoning","summary":[{"type":"summary_text","text":"**Initial analysis**\\n\\nFirst reasoning block: analyzing the problem structure."},{"type":"summary_text","text":"**Deeper consideration**\\n\\nLet me think about the various approaches available."}]},{"id":"msg_67c97c02656c81908e080dfdf4a03cd1","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Let me think about this step by step.","annotations":[]}]},{"id":"rs_second_7908809g7gcc9291be3e3fee895028c4","type":"reasoning","summary":[{"type":"summary_text","text":"Second reasoning block: considering alternative approaches."}]},{"id":"msg_final_78d08d03767d92908f25523f5ge51e77","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Based on my analysis, here is the solution.","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"medium","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":45,"input_tokens_details":{"cached_tokens":0},"output_tokens":628,"output_tokens_details":{"reasoning_tokens":420},"total_tokens":673},"user":null,"metadata":{}}}\n\n`,
+          ],
+        };
+
+        const { stream } = await createModel('o3-mini').doStream({
+          prompt: TEST_PROMPT,
+          providerOptions: {
+            openai: {
+              reasoningEffort: 'medium',
+              reasoningSummary: 'auto',
             },
           },
-        ]
-      `);
-    });
+          includeRawChunks: false,
+        });
 
-    it('should stream reasoning summary', async () => {
-      prepareReasoningResponse();
+        expect(await convertReadableStreamToArray(stream))
+          .toMatchInlineSnapshot(`
+            [
+              {
+                "type": "stream-start",
+                "warnings": [],
+              },
+              {
+                "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                "modelId": "o3-mini-2025-01-31",
+                "timestamp": 2025-03-06T13:50:19.000Z,
+                "type": "response-metadata",
+              },
+              {
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Initial analysis**
 
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'stream-chunks',
-        // warning: tests chunks below may not be accurate
-        chunks: [
-          `data:{"type":"response.created","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"in_progress","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"rs_68082c0556348191af675cee0453109b","type":"reasoning","status":"in_progress","summary":[]}}\n\n`,
-          `data:{"type":"response.content_part.added","item_id":"rs_68082c0556348191af675cee0453109b","output_index":1,"content_index":0,"part":{"type":"summary_text","text":"","annotations":[]}}\n\n`,
-          `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_68082c0556348191af675cee0453109b","output_index":0,"summary_index":0,"delta":"**Exploring burrito origins**\\n\\nThe user is"}\n\n`,
-          `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_68082c0556348191af675cee0453109b","output_index":0,"summary_index":0,"delta":" curious about the debate regarding Taqueria La Cumbre and El Farolito."}\n\n`,
-          `data:{"type":"response.reasoning_summary_text.done","item_id":"rs_68082c0556348191af675cee0453109b","output_index":0,"summary_index":0,"text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."}\n\n`,
-          `data:{"type":"response.reasoning_summary_text.delta","item_id":"rs_68082c0556348191af675cee0453109b","output_index":0,"summary_index":1,"delta":"**Investigating burrito origins**\\n\\nThere's a fascinating debate about who created the Mission burrito."}\n\n`,
-          `data:{"type":"response.reasoning_summary_part.done","item_id":"rs_68082c0556348191af675cee0453109b","output_index":0,"summary_index":1,"part":{"type":"summary_text","text":"**Investigating burrito origins**\\n\\nThere's a fascinating debate about who created the Mission burrito."}}\n\n`,
-          `data:{"type":"response.content_part.done","item_id":"rs_68082c0556348191af675cee0453109b","output_index":1,"content_index":0,"part":{"type":"summary_text","text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."}}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"rs_68082c0556348191af675cee0453109b","type":"reasoning","summary":[{"type":"summary_text","text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."}]}}\n\n`,
-          `data:{"type":"response.output_item.added","output_index":1,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"in_progress","role":"assistant","content":[]}}\n\n`,
-          `data:{"type":"response.content_part.added","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_text.delta","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":1,"content_index":0,"delta":"Taqueria La Cumbre"}\n\n`,
-          `data:{"type":"response.output_text.done","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":1,"content_index":0,"text":"Taqueria La Cumbre"}\n\n`,
-          `data:{"type":"response.content_part.done","item_id":"msg_67c9a81dea8c8190b79651a2b3adf91e","output_index":1,"content_index":0,"part":{"type":"output_text","text":"Taqueria La Cumbre","annotations":[]}}\n\n`,
-          `data:{"type":"response.output_item.done","output_index":1,"item":{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Taqueria La Cumbre","annotations":[]}]}}\n\n`,
-          `data:{"type":"response.completed","response":{"id":"resp_67c9a81b6a048190a9ee441c5755a4e8","object":"response","created_at":1741269019,"status":"completed","error":null,"incomplete_details":null,"input":[],"instructions":null,"max_output_tokens":null,"model":"o3-mini-2025-01-31","output":[{"id":"rs_68082c0556348191af675cee0453109b","type":"reasoning","summary":[{"type":"summary_text","text":"**Exploring burrito origins**\\n\\nThe user is curious about the debate regarding Taqueria La Cumbre and El Farolito."},{"type":"summary_text","text":"**Investigating burrito origins**\\n\\nThere's a fascinating debate about who created the Mission burrito."}]},{"id":"msg_67c9a81dea8c8190b79651a2b3adf91e","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Taqueria La Cumbre","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":"low","summary":"auto"},"store":true,"temperature":null,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":null,"truncation":"disabled","usage":{"input_tokens":543,"input_tokens_details":{"cached_tokens":234},"output_tokens":478,"output_tokens_details":{"reasoning_tokens":350},"total_tokens":1021},"user":null,"metadata":{}}}\n\n`,
-        ],
-      };
+            First reasoning block:",
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " analyzing the problem structure.",
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "**Deeper consideration**
+
+            Let me think about",
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " the various approaches available.",
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "rs_first_6808709f6fcc8191ad2e2fdd784017b3:1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_first_6808709f6fcc8191ad2e2fdd784017b3",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "Let me think about",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "delta": " this step by step.",
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_67c97c02656c81908e080dfdf4a03cd1",
+                "type": "text-end",
+              },
+              {
+                "id": "rs_second_7908809g7gcc9291be3e3fee895028c4:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_second_7908809g7gcc9291be3e3fee895028c4",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-start",
+              },
+              {
+                "delta": "Second reasoning block:",
+                "id": "rs_second_7908809g7gcc9291be3e3fee895028c4:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_second_7908809g7gcc9291be3e3fee895028c4",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "delta": " considering alternative approaches.",
+                "id": "rs_second_7908809g7gcc9291be3e3fee895028c4:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_second_7908809g7gcc9291be3e3fee895028c4",
+                  },
+                },
+                "type": "reasoning-delta",
+              },
+              {
+                "id": "rs_second_7908809g7gcc9291be3e3fee895028c4:0",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "rs_second_7908809g7gcc9291be3e3fee895028c4",
+                    "reasoningEncryptedContent": null,
+                  },
+                },
+                "type": "reasoning-end",
+              },
+              {
+                "id": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                "providerMetadata": {
+                  "openai": {
+                    "itemId": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                  },
+                },
+                "type": "text-start",
+              },
+              {
+                "delta": "Based on my analysis,",
+                "id": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                "type": "text-delta",
+              },
+              {
+                "delta": " here is the solution.",
+                "id": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                "type": "text-delta",
+              },
+              {
+                "id": "msg_final_78d08d03767d92908f25523f5ge51e77",
+                "type": "text-end",
+              },
+              {
+                "finishReason": "stop",
+                "providerMetadata": {
+                  "openai": {
+                    "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
+                  },
+                },
+                "type": "finish",
+                "usage": {
+                  "cachedInputTokens": 0,
+                  "inputTokens": 45,
+                  "outputTokens": 628,
+                  "reasoningTokens": 420,
+                  "totalTokens": 673,
+                },
+              },
+            ]
+          `);
 
-      const { stream } = await createModel('o3-mini').doStream({
-        prompt: TEST_PROMPT,
-        providerOptions: {
-          openai: {
-            reasoningEffort: 'low',
-            reasoningSummary: 'auto',
+        expect(await server.calls[0].requestBodyJson).toMatchObject({
+          model: 'o3-mini',
+          reasoning: {
+            effort: 'medium',
+            summary: 'auto',
           },
-        },
-        includeRawChunks: false,
+          stream: true,
+        });
       });
+    });
 
-      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
-        [
-          {
-            "type": "stream-start",
-            "warnings": [],
-          },
-          {
-            "id": "resp_67c9a81b6a048190a9ee441c5755a4e8",
-            "modelId": "o3-mini-2025-01-31",
-            "timestamp": 2025-03-06T13:50:19.000Z,
-            "type": "response-metadata",
-          },
-          {
-            "id": "rs_68082c0556348191af675cee0453109b",
-            "type": "reasoning-start",
-          },
-          {
-            "delta": "**Exploring burrito origins**
-
-        The user is",
-            "id": "rs_68082c0556348191af675cee0453109b",
-            "type": "reasoning-delta",
-          },
-          {
-            "delta": " curious about the debate regarding Taqueria La Cumbre and El Farolito.",
-            "id": "rs_68082c0556348191af675cee0453109b",
-            "type": "reasoning-delta",
-          },
-          {
-            "delta": "**Investigating burrito origins**
-
-        There's a fascinating debate about who created the Mission burrito.",
-            "id": "rs_68082c0556348191af675cee0453109b",
-            "type": "reasoning-delta",
-          },
-          {
-            "id": "rs_68082c0556348191af675cee0453109b",
-            "type": "reasoning-end",
-          },
-          {
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-start",
-          },
-          {
-            "delta": "Taqueria La Cumbre",
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-delta",
-          },
-          {
-            "id": "msg_67c9a81dea8c8190b79651a2b3adf91e",
-            "type": "text-end",
-          },
-          {
-            "finishReason": "stop",
-            "providerMetadata": {
-              "openai": {
-                "responseId": "resp_67c9a81b6a048190a9ee441c5755a4e8",
-              },
-            },
-            "type": "finish",
-            "usage": {
-              "cachedInputTokens": 234,
-              "inputTokens": 543,
-              "outputTokens": 478,
-              "reasoningTokens": 350,
-              "totalTokens": 1021,
+    describe('server-side tools', () => {
+      const TEST_PROMPT = [
+        {
+          role: 'user' as const,
+          content: [
+            {
+              type: 'text' as const,
+              text: 'Search for recent news about San Francisco tech events, then check the status of our server-side tool implementation.',
             },
-          },
-        ]
-      `);
-
-      expect(await server.calls[0].requestBodyJson).toMatchObject({
-        model: 'o3-mini',
-        reasoning: {
-          effort: 'low',
-          summary: 'auto',
+          ],
         },
-        stream: true,
-      });
-    });
-  });
+      ];
 
-  describe('server-side tools', () => {
-    const TEST_PROMPT = [
-      {
-        role: 'user' as const,
-        content: [
-          {
-            type: 'text' as const,
-            text: 'Search for recent news about San Francisco tech events, then check the status of our server-side tool implementation.',
-          },
-        ],
-      },
-    ];
+      function prepareJsonResponse(body: any) {
+        server.urls['https://api.openai.com/v1/responses'].response = {
+          type: 'json-value',
+          body,
+        };
+      }
+
+      it('should enable server-side web search when using openai.tools.webSearchPreview', async () => {
+        prepareJsonResponse({
+          id: 'resp_67cf2b2f6bd081909be2c8054ddef0eb',
+          object: 'response',
+          created_at: 1741630255,
+          status: 'completed',
+          error: null,
+          incomplete_details: null,
+          instructions: null,
+          max_output_tokens: null,
+          model: 'gpt-4o-mini',
+          output: [
+            {
+              type: 'web_search_call',
+              id: 'ws_67cf2b3051e88190b006770db6fdb13d',
+              status: 'completed',
+            },
+            {
+              type: 'message',
+              id: 'msg_67cf2b35467481908f24412e4fd40d66',
+              status: 'completed',
+              role: 'assistant',
+              content: [
+                {
+                  type: 'output_text',
+                  text: "As of June 23, 2025, here are some recent developments in San Francisco's tech scene:",
+                  annotations: [
+                    {
+                      type: 'url_citation',
+                      start_index: 0,
+                      end_index: 50,
+                      url: 'https://www.eventbrite.sg/d/ca--san-francisco/tech-events/?utm_source=openai',
+                      title:
+                        'Discover Tech Events & Activities in San Francisco, CA | Eventbrite',
+                    },
+                    {
+                      type: 'url_citation',
+                      start_index: 51,
+                      end_index: 100,
+                      url: 'https://www.axios.com/2024/12/10/ai-sf-summit-2024-roundup?utm_source=openai',
+                      title: 'AI+ SF Summit: AI agents are the next big thing',
+                    },
+                  ],
+                },
+              ],
+            },
+          ],
+          usage: { input_tokens: 1359, output_tokens: 624 },
+        });
 
-    function prepareJsonResponse(body: any) {
-      server.urls['https://api.openai.com/v1/responses'].response = {
-        type: 'json-value',
-        body,
-      };
-    }
-
-    it('should enable server-side web search when using openai.tools.webSearchPreview', async () => {
-      prepareJsonResponse({
-        id: 'resp_67cf2b2f6bd081909be2c8054ddef0eb',
-        object: 'response',
-        created_at: 1741630255,
-        status: 'completed',
-        error: null,
-        incomplete_details: null,
-        instructions: null,
-        max_output_tokens: null,
-        model: 'gpt-4o-mini',
-        output: [
-          {
-            type: 'web_search_call',
-            id: 'ws_67cf2b3051e88190b006770db6fdb13d',
-            status: 'completed',
-          },
-          {
-            type: 'message',
-            id: 'msg_67cf2b35467481908f24412e4fd40d66',
-            status: 'completed',
-            role: 'assistant',
-            content: [
-              {
-                type: 'output_text',
-                text: "As of June 23, 2025, here are some recent developments in San Francisco's tech scene:",
-                annotations: [
-                  {
-                    type: 'url_citation',
-                    start_index: 0,
-                    end_index: 50,
-                    url: 'https://www.eventbrite.sg/d/ca--san-francisco/tech-events/?utm_source=openai',
-                    title:
-                      'Discover Tech Events & Activities in San Francisco, CA | Eventbrite',
-                  },
-                  {
-                    type: 'url_citation',
-                    start_index: 51,
-                    end_index: 100,
-                    url: 'https://www.axios.com/2024/12/10/ai-sf-summit-2024-roundup?utm_source=openai',
-                    title: 'AI+ SF Summit: AI agents are the next big thing',
-                  },
-                ],
+        const result = await createModel('gpt-4o-mini').doGenerate({
+          prompt: TEST_PROMPT,
+          tools: [
+            {
+              type: 'provider-defined',
+              id: 'openai.web_search_preview',
+              name: 'web_search_preview',
+              args: {
+                searchContextSize: 'high',
+                userLocation: {
+                  type: 'approximate',
+                  city: 'San Francisco',
+                  region: 'California',
+                  country: 'US',
+                },
               },
-            ],
-          },
-        ],
-        usage: { input_tokens: 1359, output_tokens: 624 },
-      });
+            },
+          ],
+        });
 
-      const result = await createModel('gpt-4o-mini').doGenerate({
-        prompt: TEST_PROMPT,
-        tools: [
-          {
-            type: 'provider-defined',
-            id: 'openai.web_search_preview',
-            name: 'web_search_preview',
-            args: {
-              searchContextSize: 'high',
-              userLocation: {
-                type: 'approximate',
-                city: 'San Francisco',
-                region: 'California',
-                country: 'US',
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "input": "",
+              "providerExecuted": true,
+              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "web_search_preview",
+              "type": "tool-call",
+            },
+            {
+              "providerExecuted": true,
+              "result": {
+                "status": "completed",
               },
+              "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "web_search_preview",
+              "type": "tool-result",
             },
-          },
-        ],
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_67cf2b35467481908f24412e4fd40d66",
+                },
+              },
+              "text": "As of June 23, 2025, here are some recent developments in San Francisco's tech scene:",
+              "type": "text",
+            },
+            {
+              "id": "id-0",
+              "sourceType": "url",
+              "title": "Discover Tech Events & Activities in San Francisco, CA | Eventbrite",
+              "type": "source",
+              "url": "https://www.eventbrite.sg/d/ca--san-francisco/tech-events/?utm_source=openai",
+            },
+            {
+              "id": "id-1",
+              "sourceType": "url",
+              "title": "AI+ SF Summit: AI agents are the next big thing",
+              "type": "source",
+              "url": "https://www.axios.com/2024/12/10/ai-sf-summit-2024-roundup?utm_source=openai",
+            },
+          ]
+        `);
       });
 
-      expect(result.content).toMatchInlineSnapshot(`
-        [
-          {
-            "input": "",
-            "providerExecuted": true,
-            "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
-            "toolName": "web_search_preview",
-            "type": "tool-call",
-          },
-          {
-            "providerExecuted": true,
-            "result": {
-              "status": "completed",
+      it('should handle computer use tool calls', async () => {
+        prepareJsonResponse({
+          id: 'resp_computer_test',
+          object: 'response',
+          created_at: 1741630255,
+          status: 'completed',
+          error: null,
+          incomplete_details: null,
+          instructions: null,
+          max_output_tokens: null,
+          model: 'gpt-4o-mini',
+          output: [
+            {
+              type: 'computer_call',
+              id: 'computer_67cf2b3051e88190b006770db6fdb13d',
+              status: 'completed',
             },
-            "toolCallId": "ws_67cf2b3051e88190b006770db6fdb13d",
-            "toolName": "web_search_preview",
-            "type": "tool-result",
-          },
-          {
-            "text": "As of June 23, 2025, here are some recent developments in San Francisco's tech scene:",
-            "type": "text",
-          },
-          {
-            "id": "id-0",
-            "sourceType": "url",
-            "title": "Discover Tech Events & Activities in San Francisco, CA | Eventbrite",
-            "type": "source",
-            "url": "https://www.eventbrite.sg/d/ca--san-francisco/tech-events/?utm_source=openai",
-          },
-          {
-            "id": "id-1",
-            "sourceType": "url",
-            "title": "AI+ SF Summit: AI agents are the next big thing",
-            "type": "source",
-            "url": "https://www.axios.com/2024/12/10/ai-sf-summit-2024-roundup?utm_source=openai",
-          },
-        ]
-      `);
-    });
+            {
+              type: 'message',
+              id: 'msg_computer_test',
+              status: 'completed',
+              role: 'assistant',
+              content: [
+                {
+                  type: 'output_text',
+                  text: "I've completed the computer task.",
+                  annotations: [],
+                },
+              ],
+            },
+          ],
+          usage: { input_tokens: 100, output_tokens: 50 },
+        });
 
-    it('should handle computer use tool calls', async () => {
-      prepareJsonResponse({
-        id: 'resp_computer_test',
-        object: 'response',
-        created_at: 1741630255,
-        status: 'completed',
-        error: null,
-        incomplete_details: null,
-        instructions: null,
-        max_output_tokens: null,
-        model: 'gpt-4o-mini',
-        output: [
-          {
-            type: 'computer_call',
-            id: 'computer_67cf2b3051e88190b006770db6fdb13d',
-            status: 'completed',
-          },
-          {
-            type: 'message',
-            id: 'msg_computer_test',
-            status: 'completed',
-            role: 'assistant',
-            content: [
-              {
-                type: 'output_text',
-                text: "I've completed the computer task.",
-                annotations: [],
-              },
-            ],
-          },
-        ],
-        usage: { input_tokens: 100, output_tokens: 50 },
-      });
+        const result = await createModel('gpt-4o-mini').doGenerate({
+          prompt: [
+            {
+              role: 'user' as const,
+              content: [
+                {
+                  type: 'text' as const,
+                  text: 'Use the computer to complete a task.',
+                },
+              ],
+            },
+          ],
+          tools: [
+            {
+              type: 'provider-defined',
+              id: 'openai.computer_use',
+              name: 'computer_use',
+              args: {},
+            },
+          ],
+        });
 
-      const result = await createModel('gpt-4o-mini').doGenerate({
-        prompt: [
-          {
-            role: 'user' as const,
-            content: [
-              {
-                type: 'text' as const,
-                text: 'Use the computer to complete a task.',
+        expect(result.content).toMatchInlineSnapshot(`
+          [
+            {
+              "input": "",
+              "providerExecuted": true,
+              "toolCallId": "computer_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "computer_use",
+              "type": "tool-call",
+            },
+            {
+              "providerExecuted": true,
+              "result": {
+                "status": "completed",
+                "type": "computer_use_tool_result",
               },
-            ],
-          },
-        ],
-        tools: [
-          {
-            type: 'provider-defined',
-            id: 'openai.computer_use',
-            name: 'computer_use',
-            args: {},
-          },
-        ],
-      });
-
-      expect(result.content).toMatchInlineSnapshot(`
-        [
-          {
-            "input": "",
-            "providerExecuted": true,
-            "toolCallId": "computer_67cf2b3051e88190b006770db6fdb13d",
-            "toolName": "computer_use",
-            "type": "tool-call",
-          },
-          {
-            "providerExecuted": true,
-            "result": {
-              "status": "completed",
-              "type": "computer_use_tool_result",
+              "toolCallId": "computer_67cf2b3051e88190b006770db6fdb13d",
+              "toolName": "computer_use",
+              "type": "tool-result",
             },
-            "toolCallId": "computer_67cf2b3051e88190b006770db6fdb13d",
-            "toolName": "computer_use",
-            "type": "tool-result",
-          },
-          {
-            "text": "I've completed the computer task.",
-            "type": "text",
-          },
-        ]
-      `);
+            {
+              "providerMetadata": {
+                "openai": {
+                  "itemId": "msg_computer_test",
+                },
+              },
+              "text": "I've completed the computer task.",
+              "type": "text",
+            },
+          ]
+        `);
+      });
     });
   });
 });
diff --git a/packages/openai/src/responses/openai-responses-language-model.ts b/packages/openai/src/responses/openai-responses-language-model.ts
index 6c646dda7c47..01b1fbc62f0d 100644
--- a/packages/openai/src/responses/openai-responses-language-model.ts
+++ b/packages/openai/src/responses/openai-responses-language-model.ts
@@ -1,4 +1,5 @@
 import {
+  APICallError,
   LanguageModelV2,
   LanguageModelV2CallWarning,
   LanguageModelV2Content,
@@ -88,7 +89,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
     }
 
     const { messages, warnings: messageWarnings } =
-      convertToOpenAIResponsesMessages({
+      await convertToOpenAIResponsesMessages({
         prompt,
         systemMessageMode: modelConfig.systemMessageMode,
       });
@@ -133,6 +134,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
       user: openaiOptions?.user,
       instructions: openaiOptions?.instructions,
       service_tier: openaiOptions?.serviceTier,
+      include: openaiOptions?.include,
 
       // model-specific settings:
       ...(modelConfig.isReasoningModel &&
@@ -172,6 +174,22 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
           details: 'topP is not supported for reasoning models',
         });
       }
+    } else {
+      if (openaiOptions?.reasoningEffort != null) {
+        warnings.push({
+          type: 'unsupported-setting',
+          setting: 'reasoningEffort',
+          details: 'reasoningEffort is not supported for non-reasoning models',
+        });
+      }
+
+      if (openaiOptions?.reasoningSummary != null) {
+        warnings.push({
+          type: 'unsupported-setting',
+          setting: 'reasoningSummary',
+          details: 'reasoningSummary is not supported for non-reasoning models',
+        });
+      }
     }
 
     // Validate flex processing support
@@ -212,16 +230,17 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
     options: Parameters<LanguageModelV2['doGenerate']>[0],
   ): Promise<Awaited<ReturnType<LanguageModelV2['doGenerate']>>> {
     const { args: body, warnings } = await this.getArgs(options);
+    const url = this.config.url({
+      path: '/responses',
+      modelId: this.modelId,
+    });
 
     const {
       responseHeaders,
       value: response,
       rawValue: rawResponse,
     } = await postJsonToApi({
-      url: this.config.url({
-        path: '/responses',
-        modelId: this.modelId,
-      }),
+      url,
       headers: combineHeaders(this.config.headers(), options.headers),
       body,
       failedResponseHandler: openaiFailedResponseHandler,
@@ -229,12 +248,19 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
         z.object({
           id: z.string(),
           created_at: z.number(),
+          error: z
+            .object({
+              code: z.string(),
+              message: z.string(),
+            })
+            .nullish(),
           model: z.string(),
           output: z.array(
             z.discriminatedUnion('type', [
               z.object({
                 type: z.literal('message'),
                 role: z.literal('assistant'),
+                id: z.string(),
                 content: z.array(
                   z.object({
                     type: z.literal('output_text'),
@@ -256,6 +282,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                 call_id: z.string(),
                 name: z.string(),
                 arguments: z.string(),
+                id: z.string(),
               }),
               z.object({
                 type: z.literal('web_search_call'),
@@ -269,6 +296,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
               }),
               z.object({
                 type: z.literal('reasoning'),
+                id: z.string(),
+                encrypted_content: z.string().nullish(),
                 summary: z.array(
                   z.object({
                     type: z.literal('summary_text'),
@@ -286,16 +315,41 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
       fetch: this.config.fetch,
     });
 
+    if (response.error) {
+      throw new APICallError({
+        message: response.error.message,
+        url,
+        requestBodyValues: body,
+        statusCode: 400,
+        responseHeaders,
+        responseBody: rawResponse as string,
+        isRetryable: false,
+      });
+    }
+
     const content: Array<LanguageModelV2Content> = [];
 
     // map response content to content array
     for (const part of response.output) {
       switch (part.type) {
         case 'reasoning': {
-          content.push({
-            type: 'reasoning',
-            text: part.summary.map(summary => summary.text).join(),
-          });
+          // when there are no summary parts, we need to add an empty reasoning part:
+          if (part.summary.length === 0) {
+            part.summary.push({ type: 'summary_text', text: '' });
+          }
+
+          for (const summary of part.summary) {
+            content.push({
+              type: 'reasoning' as const,
+              text: summary.text,
+              providerMetadata: {
+                openai: {
+                  itemId: part.id,
+                  reasoningEncryptedContent: part.encrypted_content ?? null,
+                },
+              },
+            });
+          }
           break;
         }
 
@@ -304,6 +358,11 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
             content.push({
               type: 'text',
               text: contentPart.text,
+              providerMetadata: {
+                openai: {
+                  itemId: part.id,
+                },
+              },
             });
 
             for (const annotation of contentPart.annotations) {
@@ -325,6 +384,11 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
             toolCallId: part.call_id,
             toolName: part.name,
             input: part.arguments,
+            providerMetadata: {
+              openai: {
+                itemId: part.id,
+              },
+            },
           });
           break;
         }
@@ -442,6 +506,14 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
     > = {};
     let hasToolCalls = false;
 
+    const activeReasoning: Record<
+      string,
+      {
+        encryptedContent?: string | null;
+        summaryParts: number[];
+      }
+    > = {};
+
     return {
       stream: response.pipeThrough(
         new TransformStream<
@@ -504,11 +576,28 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                 controller.enqueue({
                   type: 'text-start',
                   id: value.item.id,
+                  providerMetadata: {
+                    openai: {
+                      itemId: value.item.id,
+                    },
+                  },
                 });
-              } else if (value.item.type === 'reasoning') {
+              } else if (isResponseOutputItemAddedReasoningChunk(value)) {
+                activeReasoning[value.item.id] = {
+                  encryptedContent: value.item.encrypted_content,
+                  summaryParts: [0],
+                };
+
                 controller.enqueue({
                   type: 'reasoning-start',
-                  id: value.item.id,
+                  id: `${value.item.id}:0`,
+                  providerMetadata: {
+                    openai: {
+                      itemId: value.item.id,
+                      reasoningEncryptedContent:
+                        value.item.encrypted_content ?? null,
+                    },
+                  },
                 });
               }
             } else if (isResponseOutputItemDoneChunk(value)) {
@@ -526,6 +615,11 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                   toolCallId: value.item.call_id,
                   toolName: value.item.name,
                   input: value.item.arguments,
+                  providerMetadata: {
+                    openai: {
+                      itemId: value.item.id,
+                    },
+                  },
                 });
               } else if (value.item.type === 'web_search_call') {
                 ongoingToolCalls[value.output_index] = undefined;
@@ -586,11 +680,24 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                   type: 'text-end',
                   id: value.item.id,
                 });
-              } else if (value.item.type === 'reasoning') {
-                controller.enqueue({
-                  type: 'reasoning-end',
-                  id: value.item.id,
-                });
+              } else if (isResponseOutputItemDoneReasoningChunk(value)) {
+                const activeReasoningPart = activeReasoning[value.item.id];
+
+                for (const summaryIndex of activeReasoningPart.summaryParts) {
+                  controller.enqueue({
+                    type: 'reasoning-end',
+                    id: `${value.item.id}:${summaryIndex}`,
+                    providerMetadata: {
+                      openai: {
+                        itemId: value.item.id,
+                        reasoningEncryptedContent:
+                          value.item.encrypted_content ?? null,
+                      },
+                    },
+                  });
+                }
+
+                delete activeReasoning[value.item.id];
               }
             } else if (isResponseFunctionCallArgumentsDeltaChunk(value)) {
               const toolCall = ongoingToolCalls[value.output_index];
@@ -616,11 +723,36 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                 id: value.item_id,
                 delta: value.delta,
               });
+            } else if (isResponseReasoningSummaryPartAddedChunk(value)) {
+              // the first reasoning start is pushed in isResponseOutputItemAddedReasoningChunk.
+              if (value.summary_index > 0) {
+                activeReasoning[value.item_id]?.summaryParts.push(
+                  value.summary_index,
+                );
+
+                controller.enqueue({
+                  type: 'reasoning-start',
+                  id: `${value.item_id}:${value.summary_index}`,
+                  providerMetadata: {
+                    openai: {
+                      itemId: value.item_id,
+                      reasoningEncryptedContent:
+                        activeReasoning[value.item_id]?.encryptedContent ??
+                        null,
+                    },
+                  },
+                });
+              }
             } else if (isResponseReasoningSummaryTextDeltaChunk(value)) {
               controller.enqueue({
                 type: 'reasoning-delta',
+                id: `${value.item_id}:${value.summary_index}`,
                 delta: value.delta,
-                id: value.item_id,
+                providerMetadata: {
+                  openai: {
+                    itemId: value.item_id,
+                  },
+                },
               });
             } else if (isResponseFinishedChunk(value)) {
               finishReason = mapOpenAIResponseFinishReason({
@@ -646,6 +778,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
                 url: value.annotation.url,
                 title: value.annotation.title,
               });
+            } else if (isErrorChunk(value)) {
+              controller.enqueue({ type: 'error', error: value });
             }
           },
 
@@ -686,6 +820,14 @@ const textDeltaChunkSchema = z.object({
   delta: z.string(),
 });
 
+const errorChunkSchema = z.object({
+  type: z.literal('error'),
+  code: z.string(),
+  message: z.string(),
+  param: z.string().nullish(),
+  sequence_number: z.number(),
+});
+
 const responseFinishedChunkSchema = z.object({
   type: z.enum(['response.completed', 'response.incomplete']),
   response: z.object({
@@ -714,6 +856,7 @@ const responseOutputItemAddedSchema = z.object({
     z.object({
       type: z.literal('reasoning'),
       id: z.string(),
+      encrypted_content: z.string().nullish(),
     }),
     z.object({
       type: z.literal('function_call'),
@@ -746,6 +889,7 @@ const responseOutputItemDoneSchema = z.object({
     z.object({
       type: z.literal('reasoning'),
       id: z.string(),
+      encrypted_content: z.string().nullish(),
     }),
     z.object({
       type: z.literal('function_call'),
@@ -784,20 +928,17 @@ const responseAnnotationAddedSchema = z.object({
   }),
 });
 
-const responseReasoningSummaryTextDeltaSchema = z.object({
-  type: z.literal('response.reasoning_summary_text.delta'),
+const responseReasoningSummaryPartAddedSchema = z.object({
+  type: z.literal('response.reasoning_summary_part.added'),
   item_id: z.string(),
-  output_index: z.number(),
   summary_index: z.number(),
-  delta: z.string(),
 });
 
-const responseReasoningSummaryPartDoneSchema = z.object({
-  type: z.literal('response.reasoning_summary_part.done'),
+const responseReasoningSummaryTextDeltaSchema = z.object({
+  type: z.literal('response.reasoning_summary_text.delta'),
   item_id: z.string(),
-  output_index: z.number(),
   summary_index: z.number(),
-  part: z.unknown().nullish(),
+  delta: z.string(),
 });
 
 const openaiResponsesChunkSchema = z.union([
@@ -808,11 +949,17 @@ const openaiResponsesChunkSchema = z.union([
   responseOutputItemDoneSchema,
   responseFunctionCallArgumentsDeltaSchema,
   responseAnnotationAddedSchema,
+  responseReasoningSummaryPartAddedSchema,
   responseReasoningSummaryTextDeltaSchema,
-  responseReasoningSummaryPartDoneSchema,
-  z.object({ type: z.string() }).passthrough(), // fallback for unknown chunks
+  errorChunkSchema,
+  z.object({ type: z.string() }).loose(), // fallback for unknown chunks
 ]);
 
+type ExtractByType<
+  T,
+  K extends T extends { type: infer U } ? U : never,
+> = T extends { type: K } ? T : never;
+
 function isTextDeltaChunk(
   chunk: z.infer<typeof openaiResponsesChunkSchema>,
 ): chunk is z.infer<typeof textDeltaChunkSchema> {
@@ -825,6 +972,19 @@ function isResponseOutputItemDoneChunk(
   return chunk.type === 'response.output_item.done';
 }
 
+function isResponseOutputItemDoneReasoningChunk(
+  chunk: z.infer<typeof openaiResponsesChunkSchema>,
+): chunk is z.infer<typeof responseOutputItemDoneSchema> & {
+  item: ExtractByType<
+    z.infer<typeof responseOutputItemDoneSchema>['item'],
+    'reasoning'
+  >;
+} {
+  return (
+    isResponseOutputItemDoneChunk(chunk) && chunk.item.type === 'reasoning'
+  );
+}
+
 function isResponseFinishedChunk(
   chunk: z.infer<typeof openaiResponsesChunkSchema>,
 ): chunk is z.infer<typeof responseFinishedChunkSchema> {
@@ -851,22 +1011,41 @@ function isResponseOutputItemAddedChunk(
   return chunk.type === 'response.output_item.added';
 }
 
+function isResponseOutputItemAddedReasoningChunk(
+  chunk: z.infer<typeof openaiResponsesChunkSchema>,
+): chunk is z.infer<typeof responseOutputItemAddedSchema> & {
+  item: ExtractByType<
+    z.infer<typeof responseOutputItemAddedSchema>['item'],
+    'reasoning'
+  >;
+} {
+  return (
+    isResponseOutputItemAddedChunk(chunk) && chunk.item.type === 'reasoning'
+  );
+}
+
 function isResponseAnnotationAddedChunk(
   chunk: z.infer<typeof openaiResponsesChunkSchema>,
 ): chunk is z.infer<typeof responseAnnotationAddedSchema> {
   return chunk.type === 'response.output_text.annotation.added';
 }
 
+function isResponseReasoningSummaryPartAddedChunk(
+  chunk: z.infer<typeof openaiResponsesChunkSchema>,
+): chunk is z.infer<typeof responseReasoningSummaryPartAddedSchema> {
+  return chunk.type === 'response.reasoning_summary_part.added';
+}
+
 function isResponseReasoningSummaryTextDeltaChunk(
   chunk: z.infer<typeof openaiResponsesChunkSchema>,
 ): chunk is z.infer<typeof responseReasoningSummaryTextDeltaSchema> {
   return chunk.type === 'response.reasoning_summary_text.delta';
 }
 
-function isResponseReasoningSummaryPartDoneChunk(
+function isErrorChunk(
   chunk: z.infer<typeof openaiResponsesChunkSchema>,
-): chunk is z.infer<typeof responseReasoningSummaryPartDoneSchema> {
-  return chunk.type === 'response.reasoning_summary_part.done';
+): chunk is z.infer<typeof errorChunkSchema> {
+  return chunk.type === 'error';
 }
 
 type ResponsesModelConfig = {
@@ -877,7 +1056,11 @@ type ResponsesModelConfig = {
 
 function getResponsesModelConfig(modelId: string): ResponsesModelConfig {
   // o series reasoning models:
-  if (modelId.startsWith('o')) {
+  if (
+    modelId.startsWith('o') ||
+    modelId.startsWith('codex-') ||
+    modelId.startsWith('computer-use')
+  ) {
     if (modelId.startsWith('o1-mini') || modelId.startsWith('o1-preview')) {
       return {
         isReasoningModel: true,
@@ -916,6 +1099,7 @@ const openaiResponsesProviderOptionsSchema = z.object({
   instructions: z.string().nullish(),
   reasoningSummary: z.string().nullish(),
   serviceTier: z.enum(['auto', 'flex']).nullish(),
+  include: z.array(z.enum(['reasoning.encrypted_content'])).nullish(),
 });
 
 export type OpenAIResponsesProviderOptions = z.infer<
diff --git a/packages/openai/src/responses/openai-responses-prepare-tools.ts b/packages/openai/src/responses/openai-responses-prepare-tools.ts
index 8806130d17a0..eb5414d0906a 100644
--- a/packages/openai/src/responses/openai-responses-prepare-tools.ts
+++ b/packages/openai/src/responses/openai-responses-prepare-tools.ts
@@ -4,6 +4,7 @@ import {
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
 import { OpenAIResponsesTool } from './openai-responses-api-types';
+import { fileSearchArgsSchema } from '../tool/file-search';
 
 export function prepareResponsesTools({
   tools,
@@ -19,6 +20,7 @@ export function prepareResponsesTools({
     | 'auto'
     | 'none'
     | 'required'
+    | { type: 'file_search' }
     | { type: 'web_search_preview' }
     | { type: 'function'; name: string };
   toolWarnings: LanguageModelV2CallWarning[];
@@ -47,6 +49,19 @@ export function prepareResponsesTools({
         break;
       case 'provider-defined':
         switch (tool.id) {
+          case 'openai.file_search': {
+            const args = fileSearchArgsSchema.parse(tool.args);
+            openaiTools.push({
+              type: 'file_search',
+              vector_store_ids: args.vectorStoreIds,
+              max_num_results: args.maxNumResults,
+              ranking_options: args.ranking
+                ? { ranker: args.ranking.ranker }
+                : undefined,
+              filters: args.filters,
+            });
+            break;
+          }
           case 'openai.web_search_preview':
             openaiTools.push({
               type: 'web_search_preview',
@@ -87,9 +102,11 @@ export function prepareResponsesTools({
       return {
         tools: openaiTools,
         toolChoice:
-          toolChoice.toolName === 'web_search_preview'
-            ? { type: 'web_search_preview' }
-            : { type: 'function', name: toolChoice.toolName },
+          toolChoice.toolName === 'file_search'
+            ? { type: 'file_search' }
+            : toolChoice.toolName === 'web_search_preview'
+              ? { type: 'web_search_preview' }
+              : { type: 'function', name: toolChoice.toolName },
         toolWarnings,
       };
     default: {
diff --git a/packages/openai/src/responses/openai-responses-settings.ts b/packages/openai/src/responses/openai-responses-settings.ts
index 570ad213ac02..fc275b3655bf 100644
--- a/packages/openai/src/responses/openai-responses-settings.ts
+++ b/packages/openai/src/responses/openai-responses-settings.ts
@@ -1,46 +1,56 @@
+export const openaiResponsesReasoningModelIds = [
+  'o1',
+  'o1-2024-12-17',
+  'o1-mini',
+  'o1-mini-2024-09-12',
+  'o1-preview',
+  'o1-preview-2024-09-12',
+  'o3-mini',
+  'o3-mini-2025-01-31',
+  'o3',
+  'o3-2025-04-16',
+  'o4-mini',
+  'o4-mini-2025-04-16',
+  'codex-mini-latest',
+  'computer-use-preview',
+] as const;
+
+export const openaiResponsesModelIds = [
+  'gpt-4.1',
+  'gpt-4.1-2025-04-14',
+  'gpt-4.1-mini',
+  'gpt-4.1-mini-2025-04-14',
+  'gpt-4.1-nano',
+  'gpt-4.1-nano-2025-04-14',
+  'gpt-4o',
+  'gpt-4o-2024-05-13',
+  'gpt-4o-2024-08-06',
+  'gpt-4o-2024-11-20',
+  'gpt-4o-audio-preview',
+  'gpt-4o-audio-preview-2024-10-01',
+  'gpt-4o-audio-preview-2024-12-17',
+  'gpt-4o-search-preview',
+  'gpt-4o-search-preview-2025-03-11',
+  'gpt-4o-mini-search-preview',
+  'gpt-4o-mini-search-preview-2025-03-11',
+  'gpt-4o-mini',
+  'gpt-4o-mini-2024-07-18',
+  'gpt-4-turbo',
+  'gpt-4-turbo-2024-04-09',
+  'gpt-4-turbo-preview',
+  'gpt-4-0125-preview',
+  'gpt-4-1106-preview',
+  'gpt-4',
+  'gpt-4-0613',
+  'gpt-4.5-preview',
+  'gpt-4.5-preview-2025-02-27',
+  'gpt-3.5-turbo-0125',
+  'gpt-3.5-turbo',
+  'gpt-3.5-turbo-1106',
+  'chatgpt-4o-latest',
+  ...openaiResponsesReasoningModelIds,
+] as const;
+
 export type OpenAIResponsesModelId =
-  | 'o1'
-  | 'o1-2024-12-17'
-  | 'o1-mini'
-  | 'o1-mini-2024-09-12'
-  | 'o1-preview'
-  | 'o1-preview-2024-09-12'
-  | 'o3-mini'
-  | 'o3-mini-2025-01-31'
-  | 'o3'
-  | 'o3-2025-04-16'
-  | 'o4-mini'
-  | 'o4-mini-2025-04-16'
-  | 'gpt-4.1'
-  | 'gpt-4.1-2025-04-14'
-  | 'gpt-4.1-mini'
-  | 'gpt-4.1-mini-2025-04-14'
-  | 'gpt-4.1-nano'
-  | 'gpt-4.1-nano-2025-04-14'
-  | 'gpt-4o'
-  | 'gpt-4o-2024-05-13'
-  | 'gpt-4o-2024-08-06'
-  | 'gpt-4o-2024-11-20'
-  | 'gpt-4o-audio-preview'
-  | 'gpt-4o-audio-preview-2024-10-01'
-  | 'gpt-4o-audio-preview-2024-12-17'
-  | 'gpt-4o-search-preview'
-  | 'gpt-4o-search-preview-2025-03-11'
-  | 'gpt-4o-mini-search-preview'
-  | 'gpt-4o-mini-search-preview-2025-03-11'
-  | 'gpt-4o-mini'
-  | 'gpt-4o-mini-2024-07-18'
-  | 'gpt-4-turbo'
-  | 'gpt-4-turbo-2024-04-09'
-  | 'gpt-4-turbo-preview'
-  | 'gpt-4-0125-preview'
-  | 'gpt-4-1106-preview'
-  | 'gpt-4'
-  | 'gpt-4-0613'
-  | 'gpt-4.5-preview'
-  | 'gpt-4.5-preview-2025-02-27'
-  | 'gpt-3.5-turbo-0125'
-  | 'gpt-3.5-turbo'
-  | 'gpt-3.5-turbo-1106'
-  | 'chatgpt-4o-latest'
+  | (typeof openaiResponsesModelIds)[number]
   | (string & {});
diff --git a/packages/openai/src/tool/file-search.ts b/packages/openai/src/tool/file-search.ts
index 1b97ad42beca..6ef7c4d21d6d 100644
--- a/packages/openai/src/tool/file-search.ts
+++ b/packages/openai/src/tool/file-search.ts
@@ -1,6 +1,22 @@
 import { createProviderDefinedToolFactory } from '@ai-sdk/provider-utils';
 import { z } from 'zod/v4';
 
+// Filter schemas
+const comparisonFilterSchema = z.object({
+  key: z.string(),
+  type: z.enum(['eq', 'ne', 'gt', 'gte', 'lt', 'lte']),
+  value: z.union([z.string(), z.number(), z.boolean()]),
+});
+
+const compoundFilterSchema: z.ZodType<any> = z.object({
+  type: z.enum(['and', 'or']),
+  filters: z.array(
+    z.union([comparisonFilterSchema, z.lazy(() => compoundFilterSchema)]),
+  ),
+});
+
+const filtersSchema = z.union([comparisonFilterSchema, compoundFilterSchema]);
+
 // Args validation schema
 export const fileSearchArgsSchema = z.object({
   /**
@@ -11,12 +27,21 @@ export const fileSearchArgsSchema = z.object({
   /**
    * Maximum number of search results to return. Defaults to 10.
    */
-  maxResults: z.number().optional(),
+  maxNumResults: z.number().optional(),
 
   /**
-   * Type of search to perform. Defaults to 'auto'.
+   * Ranking options for the search.
    */
-  searchType: z.enum(['auto', 'keyword', 'semantic']).optional(),
+  ranking: z
+    .object({
+      ranker: z.enum(['auto', 'keyword', 'semantic']).optional(),
+    })
+    .optional(),
+
+  /**
+   * A filter to apply based on file attributes.
+   */
+  filters: filtersSchema.optional(),
 });
 
 export const fileSearch = createProviderDefinedToolFactory<
@@ -35,12 +60,28 @@ export const fileSearch = createProviderDefinedToolFactory<
     /**
      * Maximum number of search results to return. Defaults to 10.
      */
-    maxResults?: number;
+    maxNumResults?: number;
+
+    /**
+     * Ranking options for the search.
+     */
+    ranking?: {
+      ranker?: 'auto' | 'keyword' | 'semantic';
+    };
 
     /**
-     * Type of search to perform. Defaults to 'auto'.
+     * A filter to apply based on file attributes.
      */
-    searchType?: 'auto' | 'keyword' | 'semantic';
+    filters?:
+      | {
+          key: string;
+          type: 'eq' | 'ne' | 'gt' | 'gte' | 'lt' | 'lte';
+          value: string | number | boolean;
+        }
+      | {
+          type: 'and' | 'or';
+          filters: any[];
+        };
   }
 >({
   id: 'openai.file_search',
diff --git a/packages/perplexity/CHANGELOG.md b/packages/perplexity/CHANGELOG.md
index ad1cc6a87320..4051eedfe54e 100644
--- a/packages/perplexity/CHANGELOG.md
+++ b/packages/perplexity/CHANGELOG.md
@@ -1,5 +1,41 @@
 # @ai-sdk/perplexity
 
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.3
+
+### Major Changes
+
+- 2a9732b: feat(provider/perplexity): support image input
+
 ## 2.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/perplexity/package.json b/packages/perplexity/package.json
index 485f1614e4e4..7974a77d0e01 100644
--- a/packages/perplexity/package.json
+++ b/packages/perplexity/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/perplexity",
-  "version": "2.0.0-beta.2",
+  "version": "2.0.0-beta.7",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/perplexity/src/__snapshots__/convert-to-perplexity-messages.test.ts.snap b/packages/perplexity/src/__snapshots__/convert-to-perplexity-messages.test.ts.snap
index 108637d38eed..40edac955666 100644
--- a/packages/perplexity/src/__snapshots__/convert-to-perplexity-messages.test.ts.snap
+++ b/packages/perplexity/src/__snapshots__/convert-to-perplexity-messages.test.ts.snap
@@ -18,6 +18,26 @@ exports[`convertToPerplexityMessages > system messages > should convert a system
 ]
 `;
 
+exports[`convertToPerplexityMessages > user messages > should convert a user message with image parts 1`] = `
+[
+  {
+    "content": [
+      {
+        "text": "Hello ",
+        "type": "text",
+      },
+      {
+        "image_url": {
+          "url": "data:image/png;base64,AAECAw==",
+        },
+        "type": "image_url",
+      },
+    ],
+    "role": "user",
+  },
+]
+`;
+
 exports[`convertToPerplexityMessages > user messages > should convert a user message with text parts 1`] = `
 [
   {
diff --git a/packages/perplexity/src/convert-to-perplexity-messages.test.ts b/packages/perplexity/src/convert-to-perplexity-messages.test.ts
index 68f2388fed4e..2ca8ee96cd03 100644
--- a/packages/perplexity/src/convert-to-perplexity-messages.test.ts
+++ b/packages/perplexity/src/convert-to-perplexity-messages.test.ts
@@ -29,6 +29,24 @@ describe('convertToPerplexityMessages', () => {
         ]),
       ).toMatchSnapshot();
     });
+
+    it('should convert a user message with image parts', () => {
+      expect(
+        convertToPerplexityMessages([
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Hello ' },
+              {
+                type: 'file',
+                data: new Uint8Array([0, 1, 2, 3]),
+                mediaType: 'image/png',
+              },
+            ],
+          },
+        ]),
+      ).toMatchSnapshot();
+    });
   });
 
   describe('assistant messages', () => {
diff --git a/packages/perplexity/src/convert-to-perplexity-messages.ts b/packages/perplexity/src/convert-to-perplexity-messages.ts
index 6d233a3269fe..63cced0bb4c0 100644
--- a/packages/perplexity/src/convert-to-perplexity-messages.ts
+++ b/packages/perplexity/src/convert-to-perplexity-messages.ts
@@ -2,7 +2,11 @@ import {
   LanguageModelV2Prompt,
   UnsupportedFunctionalityError,
 } from '@ai-sdk/provider';
-import { PerplexityPrompt } from './perplexity-language-model-prompt';
+import {
+  PerplexityMessageContent,
+  PerplexityPrompt,
+} from './perplexity-language-model-prompt';
+import { convertUint8ArrayToBase64 } from '@ai-sdk/provider-utils';
 
 export function convertToPerplexityMessages(
   prompt: LanguageModelV2Prompt,
@@ -18,18 +22,49 @@ export function convertToPerplexityMessages(
 
       case 'user':
       case 'assistant': {
+        const hasImage = content.some(
+          part => part.type === 'file' && part.mediaType.startsWith('image/'),
+        );
+
+        const messageContent = content
+          .map(part => {
+            switch (part.type) {
+              case 'text': {
+                return {
+                  type: 'text',
+                  text: part.text,
+                };
+              }
+              case 'file': {
+                return part.data instanceof URL
+                  ? {
+                      type: 'image_url',
+                      image_url: {
+                        url: part.data.toString(),
+                      },
+                    }
+                  : {
+                      type: 'image_url',
+                      image_url: {
+                        url: `data:${part.mediaType ?? 'image/jpeg'};base64,${
+                          typeof part.data === 'string'
+                            ? part.data
+                            : convertUint8ArrayToBase64(part.data)
+                        }`,
+                      },
+                    };
+              }
+            }
+          })
+          .filter(Boolean) as PerplexityMessageContent[];
         messages.push({
           role,
-          content: content
-            .map(part => {
-              switch (part.type) {
-                case 'text': {
-                  return part.text;
-                }
-              }
-            })
-            .filter(Boolean)
-            .join(''),
+          content: hasImage
+            ? messageContent
+            : messageContent
+                .filter(part => part.type === 'text')
+                .map(part => part.text)
+                .join(''),
         });
         break;
       }
diff --git a/packages/perplexity/src/perplexity-language-model-prompt.ts b/packages/perplexity/src/perplexity-language-model-prompt.ts
index 7c4f37778d32..971c99e7fb44 100644
--- a/packages/perplexity/src/perplexity-language-model-prompt.ts
+++ b/packages/perplexity/src/perplexity-language-model-prompt.ts
@@ -2,5 +2,17 @@ export type PerplexityPrompt = Array<PerplexityMessage>;
 
 export type PerplexityMessage = {
   role: 'system' | 'user' | 'assistant';
-  content: string;
+  content: string | PerplexityMessageContent[];
 };
+
+export type PerplexityMessageContent =
+  | {
+      type: 'text';
+      text: string;
+    }
+  | {
+      type: 'image_url';
+      image_url: {
+        url: string;
+      };
+    };
diff --git a/packages/provider-utils/CHANGELOG.md b/packages/provider-utils/CHANGELOG.md
index 438dfefbbfb6..8c61b0508756 100644
--- a/packages/provider-utils/CHANGELOG.md
+++ b/packages/provider-utils/CHANGELOG.md
@@ -1,5 +1,30 @@
 # @ai-sdk/provider-utils
 
+## 3.0.0-beta.6
+
+### Patch Changes
+
+- ac34802: Add clear object function to StructuredObject
+
+## 3.0.0-beta.5
+
+### Patch Changes
+
+- 57edfcb: Adds support for async zod validators
+- 383cbfa: feat (ai): add isAborted to onFinish callback for ui message streams
+
+## 3.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+
+## 3.0.0-beta.3
+
+### Patch Changes
+
+- 05d2819: feat: allow zod 4.x as peer dependency
+
 ## 3.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/provider-utils/package.json b/packages/provider-utils/package.json
index 612bdc854787..9d5557101271 100644
--- a/packages/provider-utils/package.json
+++ b/packages/provider-utils/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/provider-utils",
-  "version": "3.0.0-beta.2",
+  "version": "3.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -50,10 +50,10 @@
     "msw": "2.7.0",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/provider-utils/src/is-abort-error.ts b/packages/provider-utils/src/is-abort-error.ts
index 327b365f942a..195c6e4737fb 100644
--- a/packages/provider-utils/src/is-abort-error.ts
+++ b/packages/provider-utils/src/is-abort-error.ts
@@ -1,6 +1,8 @@
 export function isAbortError(error: unknown): error is Error {
   return (
-    error instanceof Error &&
-    (error.name === 'AbortError' || error.name === 'TimeoutError')
+    (error instanceof Error || error instanceof DOMException) &&
+    (error.name === 'AbortError' ||
+      error.name === 'ResponseAborted' || // Next.js
+      error.name === 'TimeoutError')
   );
 }
diff --git a/packages/provider-utils/src/parse-json.ts b/packages/provider-utils/src/parse-json.ts
index c52ddbea2c16..85f4a194bdf0 100644
--- a/packages/provider-utils/src/parse-json.ts
+++ b/packages/provider-utils/src/parse-json.ts
@@ -3,12 +3,11 @@ import {
   JSONValue,
   TypeValidationError,
 } from '@ai-sdk/provider';
-import { secureJsonParse } from './secure-json-parse';
 import * as z3 from 'zod/v3';
 import * as z4 from 'zod/v4';
+import { secureJsonParse } from './secure-json-parse';
 import { safeValidateTypes, validateTypes } from './validate-types';
 import { Validator } from './validator';
-import { InferSchema } from './schema';
 
 /**
  * Parses a JSON string into an unknown object.
@@ -30,14 +29,14 @@ export async function parseJSON(options: {
  */
 export async function parseJSON<T>(options: {
   text: string;
-  schema: z4.ZodType<T> | z3.Schema<T> | Validator<T>;
+  schema: z4.core.$ZodType<T> | z3.Schema<T> | Validator<T>;
 }): Promise<T>;
 export async function parseJSON<T>({
   text,
   schema,
 }: {
   text: string;
-  schema?: z4.ZodType<T> | z3.Schema<T> | Validator<T>;
+  schema?: z4.core.$ZodType<T> | z3.Schema<T> | Validator<T>;
 }): Promise<T> {
   try {
     const value = secureJsonParse(text);
@@ -87,14 +86,14 @@ export async function safeParseJSON(options: {
  */
 export async function safeParseJSON<T>(options: {
   text: string;
-  schema: z4.ZodType<T> | z3.Schema<T> | Validator<T>;
+  schema: z4.core.$ZodType<T> | z3.Schema<T> | Validator<T>;
 }): Promise<ParseResult<T>>;
 export async function safeParseJSON<T>({
   text,
   schema,
 }: {
   text: string;
-  schema?: z4.ZodType<T> | z3.Schema<T> | Validator<T>;
+  schema?: z4.core.$ZodType<T> | z3.Schema<T> | Validator<T>;
 }): Promise<ParseResult<T>> {
   try {
     const value = secureJsonParse(text);
diff --git a/packages/provider-utils/src/parse-provider-options.ts b/packages/provider-utils/src/parse-provider-options.ts
index 32043f5c7884..281701a30cef 100644
--- a/packages/provider-utils/src/parse-provider-options.ts
+++ b/packages/provider-utils/src/parse-provider-options.ts
@@ -9,7 +9,7 @@ export async function parseProviderOptions<T>({
 }: {
   provider: string;
   providerOptions: Record<string, unknown> | undefined;
-  schema: z.ZodType<T, T>;
+  schema: z.core.$ZodType<T, any>;
 }): Promise<T | undefined> {
   if (providerOptions?.[provider] == null) {
     return undefined;
diff --git a/packages/provider-utils/src/schema.ts b/packages/provider-utils/src/schema.ts
index a9a05673b535..af697bf02f9a 100644
--- a/packages/provider-utils/src/schema.ts
+++ b/packages/provider-utils/src/schema.ts
@@ -1,4 +1,4 @@
-import { Validator, validatorSymbol } from './validator';
+import { Validator, validatorSymbol, type ValidationResult } from './validator';
 import { JSONSchema7 } from '@ai-sdk/provider';
 import * as z3 from 'zod/v3';
 import * as z4 from 'zod/v4';
@@ -26,11 +26,11 @@ export type Schema<OBJECT = unknown> = Validator<OBJECT> & {
   readonly jsonSchema: JSONSchema7;
 };
 
-export type FlexibleSchema<T> = z4.ZodType<T> | z3.Schema<T> | Schema<T>;
+export type FlexibleSchema<T> = z4.core.$ZodType<T> | z3.Schema<T> | Schema<T>;
 
 export type InferSchema<SCHEMA> = SCHEMA extends z3.Schema
   ? z3.infer<SCHEMA>
-  : SCHEMA extends z4.ZodType
+  : SCHEMA extends z4.core.$ZodType
     ? z4.infer<SCHEMA>
     : SCHEMA extends Schema<infer T>
       ? T
@@ -49,7 +49,7 @@ export function jsonSchema<OBJECT = unknown>(
   }: {
     validate?: (
       value: unknown,
-    ) => { success: true; value: OBJECT } | { success: false; error: Error };
+    ) => ValidationResult<OBJECT> | PromiseLike<ValidationResult<OBJECT>>;
   } = {},
 ): Schema<OBJECT> {
   return {
@@ -74,7 +74,7 @@ function isSchema(value: unknown): value is Schema {
 
 export function asSchema<OBJECT>(
   schema:
-    | z4.ZodType<OBJECT, any>
+    | z4.core.$ZodType<OBJECT, any>
     | z3.Schema<OBJECT, z3.ZodTypeDef, any>
     | Schema<OBJECT>
     | undefined,
diff --git a/packages/provider-utils/src/zod-schema.ts b/packages/provider-utils/src/zod-schema.ts
index b51482f2c3cd..c7d07f4f7c95 100644
--- a/packages/provider-utils/src/zod-schema.ts
+++ b/packages/provider-utils/src/zod-schema.ts
@@ -25,8 +25,8 @@ export function zod3Schema<OBJECT>(
       target: 'jsonSchema7', // note: openai mode breaks various gemini conversions
     }) as JSONSchema7,
     {
-      validate: value => {
-        const result = zodSchema.safeParse(value);
+      validate: async value => {
+        const result = await zodSchema.safeParseAsync(value);
         return result.success
           ? { success: true, value: result.data }
           : { success: false, error: result.error };
@@ -36,7 +36,7 @@ export function zod3Schema<OBJECT>(
 }
 
 export function zod4Schema<OBJECT>(
-  zodSchema: z4.ZodType<OBJECT, any>,
+  zodSchema: z4.core.$ZodType<OBJECT, any>,
   options?: {
     /**
      * Enables support for references in the schema.
@@ -57,8 +57,8 @@ export function zod4Schema<OBJECT>(
   }) as JSONSchema7;
 
   return jsonSchema(z4JSONSchema, {
-    validate: value => {
-      const result = z4.safeParse(zodSchema, value);
+    validate: async value => {
+      const result = await z4.safeParseAsync(zodSchema, value);
       return result.success
         ? { success: true, value: result.data }
         : { success: false, error: result.error };
@@ -67,14 +67,16 @@ export function zod4Schema<OBJECT>(
 }
 
 export function isZod4Schema(
-  zodSchema: z4.ZodType<any, any> | z3.Schema<any, z3.ZodTypeDef, any>,
-): zodSchema is z4.ZodType<any, any> {
+  zodSchema: z4.core.$ZodType<any, any> | z3.Schema<any, z3.ZodTypeDef, any>,
+): zodSchema is z4.core.$ZodType<any, any> {
   // https://zod.dev/library-authors?id=how-to-support-zod-3-and-zod-4-simultaneously
   return '_zod' in zodSchema;
 }
 
 export function zodSchema<OBJECT>(
-  zodSchema: z4.ZodType<OBJECT, any> | z3.Schema<OBJECT, z3.ZodTypeDef, any>,
+  zodSchema:
+    | z4.core.$ZodType<OBJECT, any>
+    | z3.Schema<OBJECT, z3.ZodTypeDef, any>,
   options?: {
     /**
      * Enables support for references in the schema.
diff --git a/packages/react/CHANGELOG.md b/packages/react/CHANGELOG.md
index 4feafa980641..9476790ca7ad 100644
--- a/packages/react/CHANGELOG.md
+++ b/packages/react/CHANGELOG.md
@@ -1,5 +1,208 @@
 # @ai-sdk/react
 
+## 2.0.0-beta.28
+
+### Patch Changes
+
+- ac34802: Add clear object function to React and Angular packages
+- Updated dependencies [ac34802]
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - ai@5.0.0-beta.28
+
+## 2.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 2.0.0-beta.26
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 2.0.0-beta.25
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 2.0.0-beta.24
+
+### Patch Changes
+
+- 376a7d1: fix message subscription out of sync when chat id changes after mount
+- Updated dependencies [add5ac1]
+- Updated dependencies [57edfcb]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 2.0.0-beta.22
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 2.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 2.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.18
+
+### Patch Changes
+
+- b34c1c0: fix(react): stabilize setMessages in useChat
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 2.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 2.0.0-beta.16
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 2.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 2.0.0-beta.14
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 2.0.0-beta.13
+
+### Patch Changes
+
+- d1410bb: fix (ai/react): chat instance recreation in useChat
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 2.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 2.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/react/package.json b/packages/react/package.json
index 2ed977044583..5eb8d922d02d 100644
--- a/packages/react/package.json
+++ b/packages/react/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/react",
-  "version": "2.0.0-beta.5",
+  "version": "2.0.0-beta.28",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -50,11 +50,11 @@
     "react-dom": "^18",
     "tsup": "^7.2.0",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
     "react": "^18 || ^19 || ^19.0.0-rc",
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "peerDependenciesMeta": {
     "zod": {
diff --git a/packages/react/src/use-chat.ts b/packages/react/src/use-chat.ts
index 157b508dda0c..4918e94f07f0 100644
--- a/packages/react/src/use-chat.ts
+++ b/packages/react/src/use-chat.ts
@@ -57,12 +57,26 @@ export function useChat<UI_MESSAGE extends UIMessage = UIMessage>({
   resume = false,
   ...options
 }: UseChatOptions<UI_MESSAGE> = {}): UseChatHelpers<UI_MESSAGE> {
-  const chatRef = useRef('chat' in options ? options.chat : new Chat(options));
+  const chatRef = useRef<Chat<UI_MESSAGE>>(
+    'chat' in options ? options.chat : new Chat(options),
+  );
+
+  const shouldRecreateChat =
+    ('chat' in options && options.chat !== chatRef.current) ||
+    ('id' in options && chatRef.current.id !== options.id);
+
+  if (shouldRecreateChat) {
+    chatRef.current = 'chat' in options ? options.chat : new Chat(options);
+  }
+
+  const optionsId = 'id' in options ? options.id : null;
 
   const subscribeToMessages = useCallback(
     (update: () => void) =>
       chatRef.current['~registerMessagesCallback'](update, throttleWaitMs),
-    [throttleWaitMs],
+    // optionsId is required to trigger re-subscription when the chat ID changes
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [throttleWaitMs, optionsId],
   );
 
   const messages = useSyncExternalStore(
@@ -88,12 +102,11 @@ export function useChat<UI_MESSAGE extends UIMessage = UIMessage>({
       messagesParam: UI_MESSAGE[] | ((messages: UI_MESSAGE[]) => UI_MESSAGE[]),
     ) => {
       if (typeof messagesParam === 'function') {
-        messagesParam = messagesParam(messages);
+        messagesParam = messagesParam(chatRef.current.messages);
       }
-
       chatRef.current.messages = messagesParam;
     },
-    [messages, chatRef],
+    [chatRef],
   );
 
   useEffect(() => {
diff --git a/packages/react/src/use-chat.ui.test.tsx b/packages/react/src/use-chat.ui.test.tsx
index 4ad2c6b534ca..89773a5bcb5d 100644
--- a/packages/react/src/use-chat.ui.test.tsx
+++ b/packages/react/src/use-chat.ui.test.tsx
@@ -13,13 +13,14 @@ import {
   isToolUIPart,
   TextStreamChatTransport,
   UIMessage,
-  UIMessageStreamPart,
+  UIMessageChunk,
 } from 'ai';
 import React, { act, useRef, useState } from 'react';
+import { Chat } from './chat.react';
 import { setupTestComponent } from './setup-test-component';
 import { useChat } from './use-chat';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -28,6 +29,59 @@ const server = createTestServer({
   '/api/chat/123/stream': {},
 });
 
+describe('initial messages', () => {
+  setupTestComponent(
+    ({ id: idParam }: { id: string }) => {
+      const [id, setId] = React.useState<string>(idParam);
+      const {
+        messages,
+        status,
+        id: idKey,
+      } = useChat({
+        id,
+        messages: [
+          {
+            id: 'id-0',
+            role: 'user',
+            parts: [{ text: 'hi', type: 'text' }],
+          },
+        ],
+      });
+
+      return (
+        <div>
+          <div data-testid="id">{idKey}</div>
+          <div data-testid="status">{status.toString()}</div>
+          <div data-testid="messages">{JSON.stringify(messages, null, 2)}</div>
+        </div>
+      );
+    },
+    {
+      // use a random id to avoid conflicts:
+      init: TestComponent => <TestComponent id={`first-${mockId()()}`} />,
+    },
+  );
+
+  it('should show initial messages', async () => {
+    await waitFor(() => {
+      expect(
+        JSON.parse(screen.getByTestId('messages').textContent ?? ''),
+      ).toStrictEqual([
+        {
+          role: 'user',
+          parts: [
+            {
+              text: 'hi',
+              type: 'text',
+            },
+          ],
+          id: 'id-0',
+        },
+      ]);
+    });
+  });
+});
+
 describe('data protocol stream', () => {
   let onFinishCalls: Array<{ message: UIMessage }> = [];
 
@@ -83,12 +137,12 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -167,7 +221,7 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'error', errorText: 'custom error message' }),
+        formatChunk({ type: 'error', errorText: 'custom error message' }),
       ],
     };
 
@@ -194,11 +248,11 @@ describe('data protocol stream', () => {
         expect(screen.getByTestId('status')).toHaveTextContent('submitted');
       });
 
-      controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+      controller.write(formatChunk({ type: 'text-start', id: '0' }));
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
       );
-      controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+      controller.write(formatChunk({ type: 'text-end', id: '0' }));
 
       await waitFor(() => {
         expect(screen.getByTestId('status')).toHaveTextContent('streaming');
@@ -236,22 +290,18 @@ describe('data protocol stream', () => {
 
     await userEvent.click(screen.getByTestId('do-send'));
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
-    controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-    );
-    controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-    );
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
     );
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: ',' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
     );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: '.' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'finish',
         messageMetadata: {
           example: 'metadata',
@@ -302,6 +352,7 @@ describe('data protocol stream', () => {
             },
             "parts": [
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "Hello, world.",
                 "type": "text",
@@ -319,12 +370,12 @@ describe('data protocol stream', () => {
       server.urls['/api/chat'].response = {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       };
 
@@ -345,57 +396,10 @@ describe('data protocol stream', () => {
               "role": "user",
             },
           ],
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `);
     });
-
-    it('should clear out messages when the id changes', async () => {
-      server.urls['/api/chat'].response = {
-        type: 'stream-chunks',
-        chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
-        ],
-      };
-
-      await userEvent.click(screen.getByTestId('do-send'));
-
-      await waitFor(() => {
-        expect(
-          JSON.parse(screen.getByTestId('messages').textContent ?? ''),
-        ).toStrictEqual([
-          {
-            id: expect.any(String),
-            parts: [
-              {
-                text: 'hi',
-                type: 'text',
-              },
-            ],
-            role: 'user',
-          },
-          {
-            id: 'id-1',
-            parts: [
-              {
-                text: 'Hello, world.',
-                type: 'text',
-                state: 'done',
-              },
-            ],
-            role: 'assistant',
-          },
-        ]);
-      });
-      await userEvent.click(screen.getByTestId('do-change-id'));
-
-      expect(screen.queryByTestId('message-0')).not.toBeInTheDocument();
-    });
   });
 });
 
@@ -509,6 +513,7 @@ describe('text stream', () => {
                 "type": "step-start",
               },
               {
+                "providerMetadata": undefined,
                 "state": "done",
                 "text": "Hello, world.",
                 "type": "text",
@@ -580,12 +585,12 @@ describe('prepareChatRequest', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -624,7 +629,7 @@ describe('prepareChatRequest', () => {
         "requestMetadata": {
           "request-metadata-key": "request-metadata-value",
         },
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
 
@@ -652,12 +657,16 @@ describe('onToolCall', () => {
   let toolCallPromise: Promise<void>;
 
   setupTestComponent(() => {
-    const { messages, sendMessage } = useChat({
+    const { messages, sendMessage, addToolResult } = useChat({
       async onToolCall({ toolCall }) {
         await toolCallPromise;
-        return `test-tool-response: ${toolCall.toolName} ${
-          toolCall.toolCallId
-        } ${JSON.stringify(toolCall.input)}`;
+        addToolResult({
+          tool: 'test-tool',
+          toolCallId: toolCall.toolCallId,
+          output: `test-tool-response: ${toolCall.toolName} ${
+            toolCall.toolCallId
+          } ${JSON.stringify(toolCall.input)}`,
+        });
       },
     });
 
@@ -695,7 +704,7 @@ describe('onToolCall', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'tool-input-available',
           toolCallId: 'tool-call-0',
           toolName: 'test-tool',
@@ -736,7 +745,6 @@ describe('onToolCall', () => {
 describe('tool invocations', () => {
   setupTestComponent(() => {
     const { messages, sendMessage, addToolResult } = useChat({
-      maxSteps: 5,
       generateId: mockId(),
     });
 
@@ -755,6 +763,7 @@ describe('tool invocations', () => {
                       data-testid={`add-result-${toolIdx}`}
                       onClick={() => {
                         addToolResult({
+                          tool: 'test-tool',
                           toolCallId: toolPart.toolCallId,
                           output: 'test-result',
                         });
@@ -799,7 +808,7 @@ describe('tool invocations', () => {
     await userEvent.click(screen.getByTestId('do-send'));
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-start',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -817,7 +826,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: '{"testArg":"t',
@@ -836,7 +845,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: 'est-value"}}',
@@ -855,7 +864,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -875,7 +884,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -906,7 +915,7 @@ describe('tool invocations', () => {
     await userEvent.click(screen.getByTestId('do-send'));
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -926,7 +935,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -956,10 +965,10 @@ describe('tool invocations', () => {
 
     await userEvent.click(screen.getByTestId('do-send'));
 
-    controller.write(formatStreamPart({ type: 'start' }));
-    controller.write(formatStreamPart({ type: 'start-step' }));
+    controller.write(formatChunk({ type: 'start' }));
+    controller.write(formatChunk({ type: 'start-step' }));
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -992,15 +1001,15 @@ describe('tool invocations', () => {
       });
     });
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'text-delta',
         id: '0',
         delta: 'more text',
       }),
     );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
     controller.close();
 
     await waitFor(() => {
@@ -1041,308 +1050,6 @@ describe('tool invocations', () => {
       ]);
     });
   });
-
-  it('should delay tool result submission until the stream is finished', async () => {
-    const controller1 = new TestResponseController();
-
-    server.urls['/api/chat'].response = [
-      { type: 'controlled-stream', controller: controller1 },
-    ];
-
-    await userEvent.click(screen.getByTestId('do-send'));
-
-    // start stream
-    controller1.write(formatStreamPart({ type: 'start' }));
-    controller1.write(formatStreamPart({ type: 'start-step' }));
-
-    // tool call
-    controller1.write(
-      formatStreamPart({
-        type: 'tool-input-available',
-        toolCallId: 'tool-call-0',
-        toolName: 'test-tool',
-        input: { testArg: 'test-value' },
-      }),
-    );
-
-    await waitFor(() => {
-      expect(
-        JSON.parse(screen.getByTestId('message-1').textContent ?? ''),
-      ).toStrictEqual({
-        state: 'input-available',
-        input: { testArg: 'test-value' },
-        toolCallId: 'tool-call-0',
-        type: 'tool-test-tool',
-      });
-    });
-
-    // user submits the tool result
-    await userEvent.click(screen.getByTestId('add-result-0'));
-
-    // UI should show the tool result
-    await waitFor(() => {
-      expect(
-        JSON.parse(screen.getByTestId('message-1').textContent ?? ''),
-      ).toStrictEqual({
-        state: 'output-available',
-        input: { testArg: 'test-value' },
-        toolCallId: 'tool-call-0',
-        type: 'tool-test-tool',
-        output: 'test-result',
-      });
-    });
-
-    // should not have called the API yet
-    expect(server.calls.length).toBe(1);
-
-    // finish stream
-    controller1.write(formatStreamPart({ type: 'finish-step' }));
-    controller1.write(formatStreamPart({ type: 'finish' }));
-
-    await controller1.close();
-
-    // 2nd call should happen after the stream is finished
-    await waitFor(() => {
-      expect(server.calls.length).toBe(2);
-    });
-  });
-
-  it('should trigger request when all tool calls are completed', async () => {
-    const controller1 = new TestResponseController();
-    const controller2 = new TestResponseController();
-
-    server.urls['/api/chat'].response = [
-      { type: 'controlled-stream', controller: controller1 },
-      { type: 'controlled-stream', controller: controller2 },
-    ];
-
-    await userEvent.click(screen.getByTestId('do-send'));
-
-    // start stream
-    controller1.write(formatStreamPart({ type: 'start' }));
-    controller1.write(formatStreamPart({ type: 'start-step' }));
-
-    // tool call
-    controller1.write(
-      formatStreamPart({
-        type: 'tool-input-available',
-        toolCallId: 'tool-call-0',
-        toolName: 'test-tool',
-        input: { testArg: 'test-value' },
-      }),
-    );
-
-    // finish stream
-    controller1.write(formatStreamPart({ type: 'finish-step' }));
-    controller1.write(formatStreamPart({ type: 'finish' }));
-    await controller1.close();
-
-    await waitFor(() => {
-      expect(
-        JSON.parse(screen.getByTestId('message-1').textContent ?? ''),
-      ).toStrictEqual({
-        state: 'input-available',
-        input: { testArg: 'test-value' },
-        toolCallId: 'tool-call-0',
-        type: 'tool-test-tool',
-      });
-    });
-
-    // user submits the tool result
-    await userEvent.click(screen.getByTestId('add-result-0'));
-
-    // UI should show the tool result
-    await waitFor(() => {
-      expect(
-        JSON.parse(screen.getByTestId('message-1').textContent ?? ''),
-      ).toStrictEqual({
-        state: 'output-available',
-        input: { testArg: 'test-value' },
-        toolCallId: 'tool-call-0',
-        type: 'tool-test-tool',
-        output: 'test-result',
-      });
-    });
-
-    // should trigger second request w/ tool result
-    expect(server.calls.length).toBe(2);
-
-    controller2.write(formatStreamPart({ type: 'start' }));
-    controller2.write(formatStreamPart({ type: 'start-step' }));
-
-    controller2.write(formatStreamPart({ type: 'text-start', id: '0' }));
-    controller2.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'final result' }),
-    );
-    controller2.write(formatStreamPart({ type: 'text-end', id: '0' }));
-
-    controller2.write(formatStreamPart({ type: 'finish-step' }));
-    controller2.write(formatStreamPart({ type: 'finish' }));
-
-    await controller2.close();
-
-    // chunks from second request should show up in UI
-    await waitFor(() => {
-      expect(screen.getByTestId('message-1-text')).toHaveTextContent(
-        'final result',
-      );
-    });
-  });
-});
-
-describe('maxSteps', () => {
-  describe('two steps with automatic tool call', () => {
-    let onToolCallInvoked = false;
-
-    setupTestComponent(() => {
-      const { messages, sendMessage } = useChat({
-        async onToolCall({ toolCall }) {
-          onToolCallInvoked = true;
-
-          return `test-tool-response: ${toolCall.toolName} ${
-            toolCall.toolCallId
-          } ${JSON.stringify(toolCall.input)}`;
-        },
-        generateId: mockId(),
-        maxSteps: 5,
-      });
-
-      return (
-        <div>
-          {messages.map((m, idx) => (
-            <div data-testid={`message-${idx}`} key={m.id}>
-              {m.parts
-                .map(part => (part.type === 'text' ? part.text : ''))
-                .join('')}
-            </div>
-          ))}
-
-          <button
-            data-testid="do-send"
-            onClick={() => {
-              sendMessage({ parts: [{ text: 'hi', type: 'text' }] });
-            }}
-          />
-        </div>
-      );
-    });
-
-    beforeEach(() => {
-      onToolCallInvoked = false;
-    });
-
-    it('should automatically call api when tool call gets executed via onToolCall', async () => {
-      server.urls['/api/chat'].response = [
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({
-              type: 'tool-input-available',
-              toolCallId: 'tool-call-0',
-              toolName: 'test-tool',
-              input: { testArg: 'test-value' },
-            }),
-          ],
-        },
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({ type: 'text-start', id: '0' }),
-            formatStreamPart({
-              type: 'text-delta',
-              id: '0',
-              delta: 'final result',
-            }),
-            formatStreamPart({ type: 'text-end', id: '0' }),
-          ],
-        },
-      ];
-
-      await userEvent.click(screen.getByTestId('do-send'));
-
-      expect(onToolCallInvoked).toBe(true);
-
-      await screen.findByTestId('message-1');
-      expect(screen.getByTestId('message-1')).toHaveTextContent('final result');
-    });
-  });
-
-  describe('two steps with error response', () => {
-    let onToolCallCounter = 0;
-
-    setupTestComponent(() => {
-      const { messages, sendMessage, error } = useChat({
-        async onToolCall({ toolCall }) {
-          onToolCallCounter++;
-          return `test-tool-response: ${toolCall.toolName} ${
-            toolCall.toolCallId
-          } ${JSON.stringify(toolCall.input)}`;
-        },
-        generateId: mockId(),
-        maxSteps: 5,
-      });
-
-      return (
-        <div>
-          {error && <div data-testid="error">{error.toString()}</div>}
-
-          {messages.map((m, idx) => (
-            <div data-testid={`message-${idx}`} key={m.id}>
-              {m.parts.filter(isToolUIPart).map((toolPart, toolIdx) =>
-                toolPart.state === 'output-available' ? (
-                  <div key={toolIdx} data-testid={`tool-${toolIdx}`}>
-                    {JSON.stringify(toolPart.output)}
-                  </div>
-                ) : null,
-              )}
-            </div>
-          ))}
-
-          <button
-            data-testid="do-send"
-            onClick={() => {
-              sendMessage({ parts: [{ text: 'hi', type: 'text' }] });
-            }}
-          />
-        </div>
-      );
-    });
-
-    beforeEach(() => {
-      onToolCallCounter = 0;
-    });
-
-    it('should automatically call api when tool call gets executed via onToolCall', async () => {
-      server.urls['/api/chat'].response = [
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({
-              type: 'tool-input-available',
-              toolCallId: 'tool-call-0',
-              toolName: 'test-tool',
-              input: { testArg: 'test-value' },
-            }),
-          ],
-        },
-        {
-          type: 'error',
-          status: 400,
-          body: 'call failure',
-        },
-      ];
-
-      await userEvent.click(screen.getByTestId('do-send'));
-
-      await waitFor(() => {
-        expect(screen.getByTestId('error')).toHaveTextContent(
-          'Error: call failure',
-        );
-      });
-
-      expect(onToolCallCounter).toBe(1);
-    });
-  });
 });
 
 describe('file attachments with data url', () => {
@@ -1398,16 +1105,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with text attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1479,7 +1186,7 @@ describe('file attachments with data url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1488,16 +1195,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1569,7 +1276,7 @@ describe('file attachments with data url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1620,16 +1327,16 @@ describe('file attachments with url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1692,7 +1399,7 @@ describe('file attachments with url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1735,13 +1442,13 @@ describe('attachments with empty submit', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1795,7 +1502,7 @@ describe('attachments with empty submit', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1843,13 +1550,13 @@ describe('should send message with attachments', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1909,7 +1616,7 @@ describe('should send message with attachments', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1957,25 +1664,25 @@ describe('regenerate', () => {
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'first response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'second response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
     ];
@@ -2006,7 +1713,7 @@ describe('regenerate', () => {
           },
         ],
         "request-body-key": "request-body-value",
-        "trigger": "regenerate-assistant-message",
+        "trigger": "regenerate-message",
       }
     `);
 
@@ -2059,13 +1766,13 @@ describe('test sending additional fields during message submission', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'first response',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -2092,7 +1799,7 @@ describe('test sending additional fields during message submission', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -2151,25 +1858,21 @@ describe('resume ongoing stream and return assistant message', () => {
       expect(screen.getByTestId('status')).toHaveTextContent('submitted');
     });
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
     );
 
     await waitFor(() => {
       expect(screen.getByTestId('status')).toHaveTextContent('streaming');
     });
 
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: ',' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-    );
-    controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-    );
-    controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
     );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: '.' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
 
     controller.close();
 
@@ -2235,9 +1938,9 @@ describe('stop', () => {
 
     await userEvent.click(screen.getByTestId('do-send'));
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
     );
 
     await waitFor(() => {
@@ -2253,7 +1956,7 @@ describe('stop', () => {
 
     await expect(
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ', world!' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ', world!' }),
       ),
     ).rejects.toThrow();
 
@@ -2307,9 +2010,9 @@ describe('experimental_throttle', () => {
 
     vi.useFakeTimers();
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hel' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hel' }),
     );
     await act(async () => {
       await vi.advanceTimersByTimeAsync(throttleMs + 10);
@@ -2317,16 +2020,14 @@ describe('experimental_throttle', () => {
 
     expect(screen.getByTestId('message-1')).toHaveTextContent('AI: Hel');
 
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: 'lo' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'lo' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: ' Th' }),
     );
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: ' Th' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'ere' }),
     );
-    controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'ere' }),
-    );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
 
     expect(screen.getByTestId('message-1')).not.toHaveTextContent(
       'AI: Hello There',
@@ -2343,3 +2044,291 @@ describe('experimental_throttle', () => {
     vi.useRealTimers();
   });
 });
+
+describe('id changes', () => {
+  setupTestComponent(
+    () => {
+      const [id, setId] = React.useState<string>('initial-id');
+
+      const {
+        messages,
+        sendMessage,
+        error,
+        status,
+        id: idKey,
+      } = useChat({
+        id,
+        generateId: mockId(),
+      });
+
+      return (
+        <div>
+          <div data-testid="id">{idKey}</div>
+          <div data-testid="status">{status.toString()}</div>
+          {error && <div data-testid="error">{error.toString()}</div>}
+          <div data-testid="messages">{JSON.stringify(messages, null, 2)}</div>
+          <button
+            data-testid="do-send"
+            onClick={() => {
+              sendMessage({ parts: [{ text: 'hi', type: 'text' }] });
+            }}
+          />
+          <button
+            data-testid="do-change-id"
+            onClick={() => {
+              setId('second-id');
+            }}
+          />
+        </div>
+      );
+    },
+    {
+      init: TestComponent => <TestComponent />,
+    },
+  );
+
+  it('should update chat instance when the id changes', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
+      ],
+    };
+
+    await userEvent.click(screen.getByTestId('do-send'));
+
+    await waitFor(() => {
+      expect(
+        JSON.parse(screen.getByTestId('messages').textContent ?? ''),
+      ).toStrictEqual([
+        {
+          id: expect.any(String),
+          parts: [
+            {
+              text: 'hi',
+              type: 'text',
+            },
+          ],
+          role: 'user',
+        },
+        {
+          id: 'id-1',
+          parts: [
+            {
+              text: 'Hello, world.',
+              type: 'text',
+              state: 'done',
+            },
+          ],
+          role: 'assistant',
+        },
+      ]);
+    });
+    await userEvent.click(screen.getByTestId('do-change-id'));
+
+    expect(screen.queryByTestId('message-0')).not.toBeInTheDocument();
+  });
+});
+
+describe('chat instance changes', () => {
+  setupTestComponent(
+    () => {
+      const [chat, setChat] = React.useState<Chat<UIMessage>>(
+        new Chat({
+          id: 'initial-id',
+          generateId: mockId(),
+        }),
+      );
+
+      const {
+        messages,
+        sendMessage,
+        error,
+        status,
+        id: idKey,
+      } = useChat({
+        chat,
+      });
+
+      return (
+        <div>
+          <div data-testid="id">{idKey}</div>
+          <div data-testid="status">{status.toString()}</div>
+          {error && <div data-testid="error">{error.toString()}</div>}
+          <div data-testid="messages">{JSON.stringify(messages, null, 2)}</div>
+          <button
+            data-testid="do-send"
+            onClick={() => {
+              sendMessage({ parts: [{ text: 'hi', type: 'text' }] });
+            }}
+          />
+          <button
+            data-testid="do-change-chat"
+            onClick={() => {
+              setChat(
+                new Chat({
+                  id: 'second-id',
+                  generateId: mockId(),
+                }),
+              );
+            }}
+          />
+        </div>
+      );
+    },
+    {
+      init: TestComponent => <TestComponent />,
+    },
+  );
+
+  it('should update chat instance when the id changes', async () => {
+    server.urls['/api/chat'].response = {
+      type: 'stream-chunks',
+      chunks: [
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
+      ],
+    };
+
+    await userEvent.click(screen.getByTestId('do-send'));
+
+    await waitFor(() => {
+      expect(
+        JSON.parse(screen.getByTestId('messages').textContent ?? ''),
+      ).toStrictEqual([
+        {
+          id: expect.any(String),
+          parts: [
+            {
+              text: 'hi',
+              type: 'text',
+            },
+          ],
+          role: 'user',
+        },
+        {
+          id: 'id-1',
+          parts: [
+            {
+              text: 'Hello, world.',
+              type: 'text',
+              state: 'done',
+            },
+          ],
+          role: 'assistant',
+        },
+      ]);
+    });
+    await userEvent.click(screen.getByTestId('do-change-chat'));
+
+    expect(screen.queryByTestId('message-0')).not.toBeInTheDocument();
+  });
+});
+
+describe('streaming with id change from undefined to defined', () => {
+  setupTestComponent(
+    () => {
+      const [id, setId] = React.useState<string | undefined>(undefined);
+      const { messages, sendMessage, status } = useChat({
+        id,
+        generateId: mockId(),
+      });
+
+      return (
+        <div>
+          <div data-testid="status">{status.toString()}</div>
+          <div data-testid="messages">{JSON.stringify(messages, null, 2)}</div>
+          <button
+            data-testid="change-id"
+            onClick={() => {
+              setId('chat-123');
+            }}
+          />
+          <button
+            data-testid="send-message"
+            onClick={() => {
+              sendMessage({ parts: [{ text: 'hi', type: 'text' }] });
+            }}
+          />
+        </div>
+      );
+    },
+    {
+      init: TestComponent => <TestComponent />,
+    },
+  );
+
+  it('should handle streaming correctly when id changes from undefined to defined', async () => {
+    const controller = new TestResponseController();
+    server.urls['/api/chat'].response = {
+      type: 'controlled-stream',
+      controller,
+    };
+
+    // First, change the ID from undefined to 'chat-123'
+    await userEvent.click(screen.getByTestId('change-id'));
+
+    // Then send a message
+    await userEvent.click(screen.getByTestId('send-message'));
+
+    await waitFor(() => {
+      expect(screen.getByTestId('status')).toHaveTextContent('submitted');
+    });
+
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
+    controller.write(
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+    );
+
+    // Verify streaming is working - text should appear immediately
+    await waitFor(() => {
+      expect(
+        JSON.parse(screen.getByTestId('messages').textContent ?? ''),
+      ).toContainEqual(
+        expect.objectContaining({
+          role: 'assistant',
+          parts: expect.arrayContaining([
+            expect.objectContaining({
+              type: 'text',
+              text: 'Hello',
+            }),
+          ]),
+        }),
+      );
+    });
+
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: ',' }));
+    controller.write(
+      formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+    );
+    controller.write(formatChunk({ type: 'text-delta', id: '0', delta: '.' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
+    controller.close();
+
+    await waitFor(() => {
+      expect(
+        JSON.parse(screen.getByTestId('messages').textContent ?? ''),
+      ).toContainEqual(
+        expect.objectContaining({
+          role: 'assistant',
+          parts: expect.arrayContaining([
+            expect.objectContaining({
+              type: 'text',
+              text: 'Hello, world.',
+              state: 'done',
+            }),
+          ]),
+        }),
+      );
+    });
+  });
+});
diff --git a/packages/react/src/use-completion.ui.test.tsx b/packages/react/src/use-completion.ui.test.tsx
index cbe871758b0f..01bcb855cc54 100644
--- a/packages/react/src/use-completion.ui.test.tsx
+++ b/packages/react/src/use-completion.ui.test.tsx
@@ -5,11 +5,11 @@ import {
 import '@testing-library/jest-dom/vitest';
 import { screen, waitFor } from '@testing-library/react';
 import userEvent from '@testing-library/user-event';
-import { UIMessageStreamPart } from 'ai';
+import { UIMessageChunk } from 'ai';
 import { setupTestComponent } from './setup-test-component';
 import { useCompletion } from './use-completion';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -60,10 +60,10 @@ describe('stream data stream', () => {
       server.urls['/api/completion'].response = {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
         ],
       };
       await userEvent.type(screen.getByTestId('input'), 'hi{enter}');
@@ -99,7 +99,7 @@ describe('stream data stream', () => {
       await userEvent.type(screen.getByTestId('input'), 'hi{enter}');
 
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
       );
 
       await waitFor(() => {
diff --git a/packages/react/src/use-object.ts b/packages/react/src/use-object.ts
index da0f4b8b2ca5..9c5a7f3e6e44 100644
--- a/packages/react/src/use-object.ts
+++ b/packages/react/src/use-object.ts
@@ -20,7 +20,7 @@ import * as z4 from 'zod/v4';
 const getOriginalFetch = () => fetch;
 
 export type Experimental_UseObjectOptions<
-  SCHEMA extends z4.ZodType | z3.Schema | Schema,
+  SCHEMA extends z4.core.$ZodType | z3.Schema | Schema,
   RESULT,
 > = {
   /**
@@ -110,10 +110,15 @@ export type Experimental_UseObjectHelpers<RESULT, INPUT> = {
    * Abort the current request immediately, keep the current partial object if any.
    */
   stop: () => void;
+
+  /**
+   * Clear the object state.
+   */
+  clear: () => void;
 };
 
 function useObject<
-  SCHEMA extends z4.ZodType | z3.Schema | Schema,
+  SCHEMA extends z4.core.$ZodType | z3.Schema | Schema,
   RESULT = InferSchema<SCHEMA>,
   INPUT = any,
 >({
@@ -159,9 +164,9 @@ function useObject<
 
   const submit = async (input: INPUT) => {
     try {
-      mutate(undefined); // reset the data
+      clearObject();
+
       setIsLoading(true);
-      setError(undefined);
 
       const abortController = new AbortController();
       abortControllerRef.current = abortController;
@@ -239,12 +244,24 @@ function useObject<
     }
   };
 
+  const clear = () => {
+    stop();
+    clearObject();
+  };
+
+  const clearObject = () => {
+    setError(undefined);
+    setIsLoading(false);
+    mutate(undefined);
+  };
+
   return {
     submit,
     object: data,
     error,
     isLoading,
     stop,
+    clear,
   };
 }
 
diff --git a/packages/react/src/use-object.ui.test.tsx b/packages/react/src/use-object.ui.test.tsx
index 315e4b734a33..2b21f63ce424 100644
--- a/packages/react/src/use-object.ui.test.tsx
+++ b/packages/react/src/use-object.ui.test.tsx
@@ -5,7 +5,7 @@ import {
 import '@testing-library/jest-dom/vitest';
 import { cleanup, render, screen, waitFor } from '@testing-library/react';
 import userEvent from '@testing-library/user-event';
-import { z } from 'zod';
+import { z } from 'zod/v4';
 import { experimental_useObject } from './use-object';
 
 const server = createTestServer({
@@ -26,18 +26,19 @@ describe('text stream', () => {
     headers?: Record<string, string> | Headers;
     credentials?: RequestCredentials;
   }) => {
-    const { object, error, submit, isLoading, stop } = experimental_useObject({
-      api: '/api/use-object',
-      schema: z.object({ content: z.string() }),
-      onError(error) {
-        onErrorResult = error;
-      },
-      onFinish(event) {
-        onFinishCalls.push(event);
-      },
-      headers,
-      credentials,
-    });
+    const { object, error, submit, isLoading, stop, clear } =
+      experimental_useObject({
+        api: '/api/use-object',
+        schema: z.object({ content: z.string() }),
+        onError(error) {
+          onErrorResult = error;
+        },
+        onFinish(event) {
+          onFinishCalls.push(event);
+        },
+        headers,
+        credentials,
+      });
 
     return (
       <div>
@@ -53,6 +54,9 @@ describe('text stream', () => {
         <button data-testid="stop-button" onClick={stop}>
           Stop
         </button>
+        <button data-testid="clear-button" onClick={clear}>
+          Clear
+        </button>
       </div>
     );
   };
@@ -167,6 +171,37 @@ describe('text stream', () => {
       });
     });
 
+    it('should stop and clear the object state after a call to submit then clear', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/use-object'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      controller.write('{"content": "h');
+      await userEvent.click(screen.getByTestId('submit-button'));
+
+      await waitFor(() => {
+        expect(screen.getByTestId('loading')).toHaveTextContent('true');
+      });
+      await waitFor(() => {
+        expect(screen.getByTestId('object')).toHaveTextContent(
+          '{"content":"h"}',
+        );
+      });
+
+      await userEvent.click(screen.getByTestId('clear-button'));
+
+      await expect(controller.write('ello, world!"}')).rejects.toThrow();
+      await expect(controller.close()).rejects.toThrow();
+
+      await waitFor(() => {
+        expect(screen.getByTestId('loading')).toHaveTextContent('false');
+        expect(screen.getByTestId('error')).toBeEmptyDOMElement();
+        expect(screen.getByTestId('object')).toBeEmptyDOMElement();
+      });
+    });
+
     describe('when the API returns a 404', () => {
       it('should render error', async () => {
         server.urls['/api/use-object'].response = {
@@ -247,4 +282,27 @@ describe('text stream', () => {
     await userEvent.click(screen.getByTestId('submit-button'));
     expect(server.calls[0].requestCredentials).toBe('include');
   });
+
+  it('should clear the object state after a call to clear', async () => {
+    server.urls['/api/use-object'].response = {
+      type: 'stream-chunks',
+      chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+    };
+
+    render(<TestComponent />);
+    await userEvent.click(screen.getByTestId('submit-button'));
+
+    await screen.findByTestId('object');
+    expect(screen.getByTestId('object')).toHaveTextContent(
+      JSON.stringify({ content: 'Hello, world!' }),
+    );
+
+    await userEvent.click(screen.getByTestId('clear-button'));
+
+    await waitFor(() => {
+      expect(screen.getByTestId('object')).toBeEmptyDOMElement();
+      expect(screen.getByTestId('error')).toBeEmptyDOMElement();
+      expect(screen.getByTestId('loading')).toHaveTextContent('false');
+    });
+  });
 });
diff --git a/packages/replicate/CHANGELOG.md b/packages/replicate/CHANGELOG.md
index 2345b62efbc5..f8deae86171b 100644
--- a/packages/replicate/CHANGELOG.md
+++ b/packages/replicate/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/replicate
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/replicate/package.json b/packages/replicate/package.json
index bf4f8caf4368..b7277926a080 100644
--- a/packages/replicate/package.json
+++ b/packages/replicate/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/replicate",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -40,10 +40,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/revai/CHANGELOG.md b/packages/revai/CHANGELOG.md
index c6afe9b88995..f13184cd0c15 100644
--- a/packages/revai/CHANGELOG.md
+++ b/packages/revai/CHANGELOG.md
@@ -1,5 +1,35 @@
 # @ai-sdk/revai
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/revai/package.json b/packages/revai/package.json
index 0ee4b542ecc1..04823601fcd7 100644
--- a/packages/revai/package.json
+++ b/packages/revai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/revai",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -39,10 +39,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.6.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/rsc/CHANGELOG.md b/packages/rsc/CHANGELOG.md
index cc0f8d12b3ab..988bd7678bbd 100644
--- a/packages/rsc/CHANGELOG.md
+++ b/packages/rsc/CHANGELOG.md
@@ -1,5 +1,204 @@
 # @ai-sdk/rsc
 
+## 1.0.0-beta.28
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - ai@5.0.0-beta.28
+
+## 1.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 1.0.0-beta.26
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 1.0.0-beta.25
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 1.0.0-beta.24
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [57edfcb]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 1.0.0-beta.22
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 1.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 1.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 1.0.0-beta.18
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 1.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 1.0.0-beta.16
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 1.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 1.0.0-beta.14
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 1.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 1.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 1.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 1.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/rsc/package.json b/packages/rsc/package.json
index 2eded8660f73..7e241f43ca28 100644
--- a/packages/rsc/package.json
+++ b/packages/rsc/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/rsc",
-  "version": "1.0.0-beta.5",
+  "version": "1.0.0-beta.28",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/rsc-client.mjs",
@@ -61,11 +61,11 @@
     "msw": "2.6.4",
     "tsup": "^7.2.0",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
     "react": "^18 || ^19 || ^19.0.0-rc",
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "peerDependenciesMeta": {
     "zod": {
diff --git a/packages/rsc/src/stream-ui/stream-ui.tsx b/packages/rsc/src/stream-ui/stream-ui.tsx
index fc92c27a618c..42cadc28ea29 100644
--- a/packages/rsc/src/stream-ui/stream-ui.tsx
+++ b/packages/rsc/src/stream-ui/stream-ui.tsx
@@ -39,7 +39,9 @@ type Renderer<T extends Array<any>> = (
   | Generator<Streamable, Streamable, void>
   | AsyncGenerator<Streamable, Streamable, void>;
 
-type RenderTool<INPUT_SCHEMA extends z4.ZodType | z3.Schema | Schema = any> = {
+type RenderTool<
+  INPUT_SCHEMA extends z4.core.$ZodType | z3.Schema | Schema = any,
+> = {
   description?: string;
   inputSchema: INPUT_SCHEMA;
   generate?: Renderer<
@@ -86,7 +88,7 @@ const defaultTextRenderer: RenderText = ({ content }: { content: string }) =>
  * `streamUI` is a helper function to create a streamable UI from LLMs.
  */
 export async function streamUI<
-  TOOLS extends { [name: string]: z4.ZodType | z3.Schema | Schema } = {},
+  TOOLS extends { [name: string]: z4.core.$ZodType | z3.Schema | Schema } = {},
 >({
   model,
   tools,
diff --git a/packages/rsc/src/stream-ui/stream-ui.ui.test.tsx b/packages/rsc/src/stream-ui/stream-ui.ui.test.tsx
index 64a385682243..761d19d77044 100644
--- a/packages/rsc/src/stream-ui/stream-ui.ui.test.tsx
+++ b/packages/rsc/src/stream-ui/stream-ui.ui.test.tsx
@@ -1,9 +1,9 @@
 import { delay } from '@ai-sdk/provider-utils';
 import { convertArrayToReadableStream } from '@ai-sdk/provider-utils/test';
+import { LanguageModelUsage } from 'ai';
 import { MockLanguageModelV2 } from 'ai/test';
+import { z } from 'zod/v4';
 import { streamUI } from './stream-ui';
-import { z } from 'zod';
-import { LanguageModelUsage } from 'ai';
 
 async function recursiveResolve(val: any): Promise<any> {
   if (val && typeof val === 'object' && typeof val.then === 'function') {
diff --git a/packages/rsc/tests/e2e/next-server/CHANGELOG.md b/packages/rsc/tests/e2e/next-server/CHANGELOG.md
index b9c244fe7b87..db31afb61df7 100644
--- a/packages/rsc/tests/e2e/next-server/CHANGELOG.md
+++ b/packages/rsc/tests/e2e/next-server/CHANGELOG.md
@@ -4,6 +4,198 @@
 
 ### Patch Changes
 
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - ai@5.0.0-beta.28
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
+## 0.0.1-beta.0
+
+### Patch Changes
+
 - Updated dependencies [4f3e637]
   - ai@5.0.0-beta.5
 
diff --git a/packages/svelte/CHANGELOG.md b/packages/svelte/CHANGELOG.md
index a02a97d83046..36f64d314d90 100644
--- a/packages/svelte/CHANGELOG.md
+++ b/packages/svelte/CHANGELOG.md
@@ -1,5 +1,205 @@
 # @ai-sdk/svelte
 
+## 3.0.0-beta.28
+
+### Patch Changes
+
+- ac34802: Add clear object function to StructuredObject
+- Updated dependencies [ac34802]
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - ai@5.0.0-beta.28
+
+## 3.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 3.0.0-beta.26
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 3.0.0-beta.25
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 3.0.0-beta.24
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [57edfcb]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 3.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 3.0.0-beta.22
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 3.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 3.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 3.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 3.0.0-beta.18
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 3.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 3.0.0-beta.16
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 3.0.0-beta.15
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 3.0.0-beta.14
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 3.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 3.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 3.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 3.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 3.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 3.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 3.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 3.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 3.0.0-beta.5
 
 ### Patch Changes
diff --git a/packages/svelte/package.json b/packages/svelte/package.json
index efbdbc666389..7ca9c8181b40 100644
--- a/packages/svelte/package.json
+++ b/packages/svelte/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/svelte",
-  "version": "3.0.0-beta.5",
+  "version": "3.0.0-beta.28",
   "license": "Apache-2.0",
   "scripts": {
     "build": "pnpm prepack",
@@ -44,7 +44,7 @@
   },
   "peerDependencies": {
     "svelte": "^5.31.0",
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "peerDependenciesMeta": {
     "zod": {
@@ -75,7 +75,7 @@
     "typescript-eslint": "^8.20.0",
     "vite": "^6.0.0",
     "vitest": "^3.0.0",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "homepage": "https://ai-sdk.dev/docs",
   "repository": {
diff --git a/packages/svelte/src/chat.svelte.test.ts b/packages/svelte/src/chat.svelte.test.ts
index 5f6c29b4794c..ddc0e8c56941 100644
--- a/packages/svelte/src/chat.svelte.test.ts
+++ b/packages/svelte/src/chat.svelte.test.ts
@@ -7,13 +7,13 @@ import {
   DefaultChatTransport,
   isToolUIPart,
   TextStreamChatTransport,
-  type UIMessageStreamPart,
+  type UIMessageChunk,
 } from 'ai';
 import { flushSync } from 'svelte';
 import { Chat } from './chat.svelte.js';
 import { promiseWithResolvers } from './utils.svelte.js';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -48,12 +48,12 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -93,7 +93,7 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'error',
           errorText: 'custom error message',
         }),
@@ -121,11 +121,11 @@ describe('data protocol stream', () => {
         parts: [{ text: 'hi', type: 'text' }],
       });
       await vi.waitFor(() => expect(chat.status).toBe('submitted'));
-      controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+      controller.write(formatChunk({ type: 'text-start', id: '0' }));
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
       );
-      controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+      controller.write(formatChunk({ type: 'text-end', id: '0' }));
       await vi.waitFor(() => expect(chat.status).toBe('streaming'));
       controller.close();
       await appendOperation;
@@ -151,13 +151,13 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
-        formatStreamPart({
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
+        formatChunk({
           type: 'finish',
           messageMetadata: {
             example: 'metadata',
@@ -221,7 +221,7 @@ describe('data protocol stream', () => {
               "role": "user",
             },
           ],
-          "trigger": "submit-user-message",
+          "trigger": "submit-message",
         }
       `);
     });
@@ -274,6 +274,7 @@ describe('text stream', () => {
               "type": "step-start",
             },
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Hello, world.",
               "type": "text",
@@ -369,9 +370,14 @@ describe('onToolCall', () => {
     chat = new Chat({
       async onToolCall({ toolCall }) {
         await toolCallPromise;
-        return `test-tool-response: ${toolCall.toolName} ${
-          toolCall.toolCallId
-        } ${JSON.stringify(toolCall.input)}`;
+
+        chat.addToolResult({
+          tool: 'test-tool',
+          toolCallId: toolCall.toolCallId,
+          output: `test-tool-response: ${toolCall.toolName} ${
+            toolCall.toolCallId
+          } ${JSON.stringify(toolCall.input)}`,
+        });
       },
     });
   });
@@ -380,7 +386,7 @@ describe('onToolCall', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'tool-input-available',
           toolCallId: 'tool-call-0',
           toolName: 'test-tool',
@@ -430,7 +436,6 @@ describe('tool invocations', () => {
     const generateId = mockId();
     chat = new Chat({
       generateId,
-      maxSteps: 5,
       transport: new DefaultChatTransport({
         api: '/api/chat',
       }),
@@ -450,7 +455,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-start',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -472,7 +477,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: '{"testArg":"t',
@@ -494,7 +499,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: 'est-value"}}',
@@ -516,7 +521,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -539,7 +544,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -571,7 +576,7 @@ describe('tool invocations', () => {
     const appendOperation = chat.sendMessage({ text: 'hi' });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -594,7 +599,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -621,7 +626,7 @@ describe('tool invocations', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'tool-input-available',
           toolCallId: 'tool-call-0',
           toolName: 'test-tool',
@@ -649,6 +654,7 @@ describe('tool invocations', () => {
     });
 
     chat.addToolResult({
+      tool: 'test-tool',
       toolCallId: 'tool-call-0',
       output: 'test-result',
     });
@@ -667,233 +673,6 @@ describe('tool invocations', () => {
       ]);
     });
   });
-
-  it('should delay tool result submission until the stream is finished', async () => {
-    const controller1 = new TestResponseController();
-    const controller2 = new TestResponseController();
-
-    server.urls['/api/chat'].response = [
-      { type: 'controlled-stream', controller: controller1 },
-      { type: 'controlled-stream', controller: controller2 },
-    ];
-
-    chat.sendMessage({
-      role: 'user',
-      parts: [{ text: 'hi', type: 'text' }],
-    });
-
-    // start stream
-    controller1.write(formatStreamPart({ type: 'start' }));
-    controller1.write(formatStreamPart({ type: 'start-step' }));
-
-    // tool call
-    controller1.write(
-      formatStreamPart({
-        type: 'tool-input-available',
-        toolCallId: 'tool-call-0',
-        toolName: 'test-tool',
-        input: { testArg: 'test-value' },
-      }),
-    );
-
-    await vi.waitFor(() => {
-      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
-        {
-          state: 'input-available',
-          errorText: undefined,
-          input: { testArg: 'test-value' },
-          output: undefined,
-          toolCallId: 'tool-call-0',
-          type: 'tool-test-tool',
-          providerExecuted: undefined,
-        },
-      ]);
-    });
-
-    // user submits the tool result
-    chat.addToolResult({
-      toolCallId: 'tool-call-0',
-      output: 'test-result',
-    });
-
-    // UI should show the tool result
-    await vi.waitFor(() => {
-      expect(chat.messages.at(1)?.parts.filter(isToolUIPart)).toStrictEqual([
-        {
-          state: 'output-available',
-          errorText: undefined,
-          toolCallId: 'tool-call-0',
-          type: 'tool-test-tool',
-          input: { testArg: 'test-value' },
-          output: 'test-result',
-          providerExecuted: undefined,
-        },
-      ]);
-    });
-
-    // should not have called the API yet
-    expect(server.calls.length).toBe(1);
-
-    // finish stream
-    controller1.write(formatStreamPart({ type: 'finish-step' }));
-    controller1.write(formatStreamPart({ type: 'finish' }));
-
-    await controller1.close();
-
-    // 2nd call should happen after the stream is finished
-    await vi.waitFor(() => {
-      expect(server.calls.length).toBe(2);
-    });
-  });
-});
-
-describe('maxSteps', () => {
-  describe('two steps with automatic tool call', () => {
-    let onToolCallInvoked = false;
-    let chat: Chat;
-
-    beforeEach(() => {
-      chat = new Chat({
-        async onToolCall({ toolCall }) {
-          onToolCallInvoked = true;
-          return `test-tool-response: ${toolCall.toolName} ${
-            toolCall.toolCallId
-          } ${JSON.stringify(toolCall.input)}`;
-        },
-        id: 'test-id',
-        maxSteps: 5,
-        transport: new DefaultChatTransport({
-          api: '/api/chat',
-        }),
-        generateId: mockId(),
-      });
-      onToolCallInvoked = false;
-    });
-
-    it('should automatically call api when tool call gets executed via onToolCall', async () => {
-      server.urls['/api/chat'].response = [
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({
-              type: 'tool-input-available',
-              toolCallId: 'tool-call-0',
-              toolName: 'test-tool',
-              input: { testArg: 'test-value' },
-            }),
-          ],
-        },
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({ type: 'text-start', id: '0' }),
-            formatStreamPart({
-              type: 'text-delta',
-              id: '0',
-              delta: 'final result',
-            }),
-            formatStreamPart({ type: 'text-end', id: '0' }),
-          ],
-        },
-      ];
-
-      await chat.sendMessage({
-        role: 'user',
-        parts: [{ text: 'hi', type: 'text' }],
-      });
-
-      expect(onToolCallInvoked).toBe(true);
-
-      expect(chat.messages).toMatchInlineSnapshot(`
-        [
-          {
-            "id": "id-0",
-            "metadata": undefined,
-            "parts": [
-              {
-                "text": "hi",
-                "type": "text",
-              },
-            ],
-            "role": "user",
-          },
-          {
-            "id": "id-1",
-            "metadata": undefined,
-            "parts": [
-              {
-                "errorText": undefined,
-                "input": {
-                  "testArg": "test-value",
-                },
-                "output": "test-tool-response: test-tool tool-call-0 {"testArg":"test-value"}",
-                "providerExecuted": undefined,
-                "state": "output-available",
-                "toolCallId": "tool-call-0",
-                "type": "tool-test-tool",
-              },
-              {
-                "state": "done",
-                "text": "final result",
-                "type": "text",
-              },
-            ],
-            "role": "assistant",
-          },
-        ]
-      `);
-    });
-  });
-
-  describe('two steps with error response', () => {
-    let onToolCallCounter = 0;
-    let chat: Chat;
-
-    beforeEach(() => {
-      chat = new Chat({
-        async onToolCall({ toolCall }) {
-          onToolCallCounter++;
-          return `test-tool-response: ${toolCall.toolName} ${
-            toolCall.toolCallId
-          } ${JSON.stringify(toolCall.input)}`;
-        },
-        maxSteps: 5,
-        transport: new DefaultChatTransport({
-          api: '/api/chat',
-        }),
-      });
-      onToolCallCounter = 0;
-    });
-
-    it('should automatically call api when tool call gets executed via onToolCall', async () => {
-      server.urls['/api/chat'].response = [
-        {
-          type: 'stream-chunks',
-          chunks: [
-            formatStreamPart({
-              type: 'tool-input-available',
-              toolCallId: 'tool-call-0',
-              toolName: 'test-tool',
-              input: { testArg: 'test-value' },
-            }),
-          ],
-        },
-        {
-          type: 'error',
-          status: 400,
-          body: 'call failure',
-        },
-      ];
-
-      await chat.sendMessage({
-        text: 'hi',
-      });
-
-      expect(chat.error).toBeInstanceOf(Error);
-      expect(chat.error?.message).toBe('call failure');
-      expect(onToolCallCounter).toBe(1);
-    });
-  });
 });
 
 describe('file attachments with data url', () => {
@@ -909,16 +688,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with text attachment',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-end',
           id: '0',
         }),
@@ -958,6 +737,7 @@ describe('file attachments with data url', () => {
           "metadata": undefined,
           "parts": [
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Response to message with text attachment",
               "type": "text",
@@ -989,7 +769,7 @@ describe('file attachments with data url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -998,16 +778,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-end',
           id: '0',
         }),
@@ -1047,6 +827,7 @@ describe('file attachments with data url', () => {
           "metadata": undefined,
           "parts": [
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Response to message with image attachment",
               "type": "text",
@@ -1078,7 +859,7 @@ describe('file attachments with data url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1097,16 +878,16 @@ describe('file attachments with url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-end',
           id: '0',
         }),
@@ -1146,6 +927,7 @@ describe('file attachments with url', () => {
           "metadata": undefined,
           "parts": [
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Response to message with image attachment",
               "type": "text",
@@ -1177,7 +959,7 @@ describe('file attachments with url', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1196,16 +978,16 @@ describe('file attachments with empty text content', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-end',
           id: '0',
         }),
@@ -1242,6 +1024,7 @@ describe('file attachments with empty text content', () => {
           "metadata": undefined,
           "parts": [
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Response to message with image attachment",
               "type": "text",
@@ -1269,7 +1052,7 @@ describe('file attachments with empty text content', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1289,25 +1072,25 @@ describe('reload', () => {
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'first response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'second response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
     ];
@@ -1352,7 +1135,7 @@ describe('reload', () => {
           },
         ],
         "request-body-key": "request-body-value",
-        "trigger": "regenerate-assistant-message",
+        "trigger": "regenerate-message",
       }
     `);
 
@@ -1415,7 +1198,7 @@ describe('test sending additional fields during message submission', () => {
             "role": "user",
           },
         ],
-        "trigger": "submit-user-message",
+        "trigger": "submit-message",
       }
     `);
   });
@@ -1426,13 +1209,13 @@ describe('generateId function', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'start', messageId: '123' }),
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'start', messageId: '123' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1463,6 +1246,7 @@ describe('generateId function', () => {
           "metadata": undefined,
           "parts": [
             {
+              "providerMetadata": undefined,
               "state": "done",
               "text": "Hello, world.",
               "type": "text",
diff --git a/packages/svelte/src/completion.svelte.test.ts b/packages/svelte/src/completion.svelte.test.ts
index 20675a426929..ece5be2678d4 100644
--- a/packages/svelte/src/completion.svelte.test.ts
+++ b/packages/svelte/src/completion.svelte.test.ts
@@ -3,11 +3,11 @@ import {
   TestResponseController,
 } from '@ai-sdk/provider-utils/test';
 import { render } from '@testing-library/svelte';
-import type { UIMessageStreamPart } from 'ai';
+import type { UIMessageChunk } from 'ai';
 import { Completion } from './completion.svelte.js';
 import CompletionSynchronization from './tests/completion-synchronization.svelte';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -20,12 +20,12 @@ describe('Completion', () => {
     server.urls['/api/completion'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -49,12 +49,12 @@ describe('Completion', () => {
     server.urls['/api/completion'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -103,12 +103,12 @@ describe('Completion', () => {
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-          formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
     ];
@@ -128,12 +128,12 @@ describe('synchronization', () => {
     server.urls['/api/completion'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -165,11 +165,11 @@ describe('synchronization', () => {
       expect(completion2.loading).toBe(true);
     });
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+      formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
     );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
     await vi.waitFor(() => {
       expect(completion1.completion).toBe('Hello');
       expect(completion2.completion).toBe('Hello');
diff --git a/packages/svelte/src/structured-object.svelte.test.ts b/packages/svelte/src/structured-object.svelte.test.ts
index 7d4832c2f5e5..1ca7daeb2876 100644
--- a/packages/svelte/src/structured-object.svelte.test.ts
+++ b/packages/svelte/src/structured-object.svelte.test.ts
@@ -100,6 +100,38 @@ describe('text stream', () => {
         content: 'h',
       });
     });
+
+    it('should stop and clear the object state after a call to submit then clear', async () => {
+      const controller = new TestResponseController();
+      server.urls['/api/object'].response = {
+        type: 'controlled-stream',
+        controller,
+      };
+
+      controller.write('{"content": "h');
+      const submitOperation = structuredObject.submit('test-input');
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(true);
+        expect(structuredObject.object).toStrictEqual({
+          content: 'h',
+        });
+      });
+
+      structuredObject.clear();
+
+      await vi.waitFor(() => {
+        expect(structuredObject.loading).toBe(false);
+      });
+
+      await expect(controller.write('ello, world!"}')).rejects.toThrow();
+      await expect(controller.close()).rejects.toThrow();
+      await submitOperation;
+
+      expect(structuredObject.loading).toBe(false);
+      expect(structuredObject.error).toBeUndefined();
+      expect(structuredObject.object).toBeUndefined();
+    });
   });
 
   describe('when the API returns a 404', () => {
@@ -199,6 +231,28 @@ describe('text stream', () => {
 
     expect(server.calls[0].requestCredentials).toBe('include');
   });
+
+  it('should clear the object state after a call to clear', async () => {
+    server.urls['/api/object'].response = {
+      type: 'stream-chunks',
+      chunks: ['{ ', '"content": "Hello, ', 'world', '!"', '}'],
+    };
+
+    const structuredObjectWithOnFinish = new StructuredObject({
+      api: '/api/object',
+      schema: z.object({ content: z.string() }),
+    });
+
+    await structuredObjectWithOnFinish.submit('test-input');
+
+    expect(structuredObjectWithOnFinish.object).toBeDefined();
+
+    structuredObjectWithOnFinish.clear();
+
+    expect(structuredObjectWithOnFinish.object).toBeUndefined();
+    expect(structuredObjectWithOnFinish.error).toBeUndefined();
+    expect(structuredObjectWithOnFinish.loading).toBe(false);
+  });
 });
 
 describe('synchronization', () => {
diff --git a/packages/svelte/src/structured-object.svelte.ts b/packages/svelte/src/structured-object.svelte.ts
index 86dcb0b5275f..0e430cdf3146 100644
--- a/packages/svelte/src/structured-object.svelte.ts
+++ b/packages/svelte/src/structured-object.svelte.ts
@@ -22,7 +22,7 @@ import {
 } from './structured-object-context.svelte.js';
 
 export type Experimental_StructuredObjectOptions<
-  SCHEMA extends z3.Schema | z4.ZodType | Schema,
+  SCHEMA extends z3.Schema | z4.core.$ZodType | Schema,
   RESULT = InferSchema<SCHEMA>,
 > = {
   /**
@@ -88,7 +88,7 @@ export type Experimental_StructuredObjectOptions<
 };
 
 export class StructuredObject<
-  SCHEMA extends z3.Schema | z4.ZodType | Schema,
+  SCHEMA extends z3.Schema | z4.core.$ZodType | Schema,
   RESULT = InferSchema<SCHEMA>,
   INPUT = unknown,
 > {
@@ -152,9 +152,9 @@ export class StructuredObject<
    */
   submit = async (input: INPUT) => {
     try {
-      this.#store.object = undefined; // reset the data
+      this.#clearObject();
+
       this.#store.loading = true;
-      this.#store.error = undefined;
 
       const abortController = new AbortController();
       this.#abortController = abortController;
@@ -236,4 +236,18 @@ export class StructuredObject<
       this.#store.error = coalescedError;
     }
   };
+
+  /**
+   * Clears the object state.
+   */
+  clear = () => {
+    this.stop();
+    this.#clearObject();
+  };
+
+  #clearObject = () => {
+    this.#store.object = undefined;
+    this.#store.error = undefined;
+    this.#store.loading = false;
+  };
 }
diff --git a/packages/togetherai/CHANGELOG.md b/packages/togetherai/CHANGELOG.md
index 617193e530ce..f51260cefe51 100644
--- a/packages/togetherai/CHANGELOG.md
+++ b/packages/togetherai/CHANGELOG.md
@@ -1,5 +1,61 @@
 # @ai-sdk/togetherai
 
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/togetherai/package.json b/packages/togetherai/package.json
index 95037b1280f3..2acc396d195d 100644
--- a/packages/togetherai/package.json
+++ b/packages/togetherai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/togetherai",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.9",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/valibot/CHANGELOG.md b/packages/valibot/CHANGELOG.md
index b99d8d5f788e..a387a24aeed7 100644
--- a/packages/valibot/CHANGELOG.md
+++ b/packages/valibot/CHANGELOG.md
@@ -1,5 +1,34 @@
 # @ai-sdk/valibot
 
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [205077b]
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/valibot/package.json b/packages/valibot/package.json
index 5afe642cb5c9..a91d89981df0 100644
--- a/packages/valibot/package.json
+++ b/packages/valibot/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/valibot",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.6",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/packages/vercel/CHANGELOG.md b/packages/vercel/CHANGELOG.md
index 7a4026b7bb05..a911053b4180 100644
--- a/packages/vercel/CHANGELOG.md
+++ b/packages/vercel/CHANGELOG.md
@@ -1,5 +1,67 @@
 # @ai-sdk/vercel
 
+## 1.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 1.0.0-beta.9
+
+### Patch Changes
+
+- 6f87d1d: feat (provider/vercel): update chat model ids and examples
+
+## 1.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 1.0.0-beta.7
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 1.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 1.0.0-beta.5
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 1.0.0-beta.4
+
+### Patch Changes
+
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 1.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 1.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/vercel/package.json b/packages/vercel/package.json
index 447ea48fd6a4..4951f2b2e403 100644
--- a/packages/vercel/package.json
+++ b/packages/vercel/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/vercel",
-  "version": "1.0.0-beta.2",
+  "version": "1.0.0-beta.10",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/vercel/src/vercel-chat-options.ts b/packages/vercel/src/vercel-chat-options.ts
index 192d3f5c6515..22c20ff854df 100644
--- a/packages/vercel/src/vercel-chat-options.ts
+++ b/packages/vercel/src/vercel-chat-options.ts
@@ -1,2 +1,6 @@
-// https://vercel.com/docs/v0/api
-export type VercelChatModelId = 'v0-1.0-md' | (string & {});
+// https://v0.dev/docs/v0-model-api
+export type VercelChatModelId =
+  | 'v0-1.0-md'
+  | 'v0-1.5-md'
+  | 'v0-1.5-lg'
+  | (string & {});
diff --git a/packages/vue/CHANGELOG.md b/packages/vue/CHANGELOG.md
index d9b256256190..9de16cad5753 100644
--- a/packages/vue/CHANGELOG.md
+++ b/packages/vue/CHANGELOG.md
@@ -1,5 +1,203 @@
 # @ai-sdk/vue
 
+## 2.0.0-beta.29
+
+### Patch Changes
+
+- Updated dependencies [ac34802]
+- Updated dependencies [84343eb]
+- Updated dependencies [a753b3a]
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+  - ai@5.0.0-beta.28
+
+## 2.0.0-beta.28
+
+### Patch Changes
+
+- Updated dependencies [d5ae088]
+  - ai@5.0.0-beta.27
+
+## 2.0.0-beta.27
+
+### Patch Changes
+
+- Updated dependencies [ae77a99]
+- Updated dependencies [1f6ce57]
+- Updated dependencies [5a975a4]
+- Updated dependencies [2a62513]
+- Updated dependencies [904fa5e]
+- Updated dependencies [f81c720]
+  - ai@5.0.0-beta.26
+
+## 2.0.0-beta.26
+
+### Patch Changes
+
+- ai@5.0.0-beta.25
+
+## 2.0.0-beta.25
+
+### Patch Changes
+
+- Updated dependencies [add5ac1]
+- Updated dependencies [57edfcb]
+- Updated dependencies [ff1c81a]
+- Updated dependencies [e4c8647]
+- Updated dependencies [383cbfa]
+  - ai@5.0.0-beta.24
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+
+## 2.0.0-beta.24
+
+### Patch Changes
+
+- Updated dependencies [89ba235]
+  - ai@5.0.0-beta.23
+
+## 2.0.0-beta.23
+
+### Patch Changes
+
+- Updated dependencies [de2d2ab]
+- Updated dependencies [6c42e56]
+- Updated dependencies [c93a8bc]
+- Updated dependencies [20398f2]
+- Updated dependencies [86293e5]
+- Updated dependencies [205077b]
+  - ai@5.0.0-beta.22
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.22
+
+### Patch Changes
+
+- Updated dependencies [38ae5cc]
+- Updated dependencies [faea29f]
+- Updated dependencies [90ac328]
+- Updated dependencies [4a1e0c8]
+- Updated dependencies [30ac566]
+  - ai@5.0.0-beta.21
+
+## 2.0.0-beta.21
+
+### Patch Changes
+
+- Updated dependencies [4c8f834]
+  - ai@5.0.0-beta.20
+
+## 2.0.0-beta.20
+
+### Patch Changes
+
+- Updated dependencies [10b21eb]
+- Updated dependencies [75c3396]
+- Updated dependencies [05d2819]
+- Updated dependencies [db64cbe]
+  - ai@5.0.0-beta.19
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+
+## 2.0.0-beta.19
+
+### Patch Changes
+
+- Updated dependencies [d3960e3]
+- Updated dependencies [9338f3e]
+  - ai@5.0.0-beta.18
+
+## 2.0.0-beta.18
+
+### Patch Changes
+
+- ai@5.0.0-beta.17
+
+## 2.0.0-beta.17
+
+### Patch Changes
+
+- ai@5.0.0-beta.16
+
+## 2.0.0-beta.16
+
+### Patch Changes
+
+- Updated dependencies [8e31d46]
+  - ai@5.0.0-beta.15
+
+## 2.0.0-beta.15
+
+### Patch Changes
+
+- ai@5.0.0-beta.14
+
+## 2.0.0-beta.14
+
+### Patch Changes
+
+- Updated dependencies [377bbcf]
+- Updated dependencies [ce1d1f3]
+- Updated dependencies [c040e2f]
+- Updated dependencies [c808e4d]
+  - ai@5.0.0-beta.13
+
+## 2.0.0-beta.13
+
+### Patch Changes
+
+- Updated dependencies [fc0380b]
+- Updated dependencies [51f497d]
+- Updated dependencies [4f3776c]
+  - ai@5.0.0-beta.12
+
+## 2.0.0-beta.12
+
+### Patch Changes
+
+- Updated dependencies [9e40cbe]
+  - ai@5.0.0-beta.11
+
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [16ccfb2]
+- Updated dependencies [90ca2b9]
+- Updated dependencies [af1d5a5]
+- Updated dependencies [2b637d6]
+  - ai@5.0.0-beta.10
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [86cfc72]
+  - ai@5.0.0-beta.9
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- Updated dependencies [6909543]
+- Updated dependencies [c8fce91]
+- Updated dependencies [9121250]
+  - ai@5.0.0-beta.8
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- Updated dependencies [60132dd]
+  - ai@5.0.0-beta.7
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [143c55b]
+- Updated dependencies [f04ffe4]
+- Updated dependencies [97c35c0]
+- Updated dependencies [fccf75c]
+  - ai@5.0.0-beta.6
+
 ## 2.0.0-beta.6
 
 ### Patch Changes
diff --git a/packages/vue/package.json b/packages/vue/package.json
index b77d872d8b79..5d2d5d941d70 100644
--- a/packages/vue/package.json
+++ b/packages/vue/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/vue",
-  "version": "2.0.0-beta.6",
+  "version": "2.0.0-beta.29",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/packages/vue/src/chat.vue.ui.test.tsx b/packages/vue/src/chat.vue.ui.test.tsx
index 47b064b6f757..b7d39878bf44 100644
--- a/packages/vue/src/chat.vue.ui.test.tsx
+++ b/packages/vue/src/chat.vue.ui.test.tsx
@@ -5,7 +5,7 @@ import {
 import '@testing-library/jest-dom/vitest';
 import userEvent from '@testing-library/user-event';
 import { screen, waitFor } from '@testing-library/vue';
-import { UIMessageStreamPart } from 'ai';
+import { UIMessageChunk } from 'ai';
 import { setupTestComponent } from './setup-test-component';
 import TestChatAppendAttachmentsComponent from './TestChatAppendAttachmentsComponent.vue';
 import TestChatAttachmentsComponent from './TestChatAttachmentsComponent.vue';
@@ -17,7 +17,7 @@ import TestChatTextStreamComponent from './TestChatTextStreamComponent.vue';
 import TestChatToolInvocationsComponent from './TestChatToolInvocationsComponent.vue';
 import TestChatUrlAttachmentsComponent from './TestChatUrlAttachmentsComponent.vue';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -32,12 +32,12 @@ describe('prepareSubmitMessagesRequest', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -57,7 +57,7 @@ describe('prepareSubmitMessagesRequest', () => {
     expect(value).toStrictEqual({
       id: expect.any(String),
       api: '/api/chat',
-      trigger: 'submit-user-message',
+      trigger: 'submit-message',
       body: { 'request-body-key': 'request-body-value' },
       headers: { 'request-header-key': 'request-header-value' },
       requestMetadata: { 'request-metadata-key': 'request-metadata-value' },
@@ -92,12 +92,12 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -143,11 +143,11 @@ describe('data protocol stream', () => {
         expect(screen.getByTestId('status')).toHaveTextContent('submitted');
       });
 
-      controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+      controller.write(formatChunk({ type: 'text-start', id: '0' }));
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
       );
-      controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+      controller.write(formatChunk({ type: 'text-end', id: '0' }));
 
       await waitFor(() => {
         expect(screen.getByTestId('status')).toHaveTextContent('streaming');
@@ -175,9 +175,9 @@ describe('data protocol stream', () => {
           expect(screen.getByTestId('status')).toHaveTextContent('submitted'),
         );
 
-        controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+        controller.write(formatChunk({ type: 'text-start', id: '0' }));
         controller.write(
-          formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
         );
 
         await waitFor(() =>
@@ -191,9 +191,9 @@ describe('data protocol stream', () => {
         document.dispatchEvent(new Event('visibilitychange'));
 
         controller.write(
-          formatStreamPart({ type: 'text-delta', id: '0', delta: ' world.' }),
+          formatChunk({ type: 'text-delta', id: '0', delta: ' world.' }),
         );
-        controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+        controller.write(formatChunk({ type: 'text-end', id: '0' }));
         controller.close();
 
         await waitFor(() =>
@@ -227,13 +227,13 @@ describe('data protocol stream', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
-        formatStreamPart({ type: 'finish' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'finish' }),
       ],
     };
 
@@ -320,25 +320,25 @@ describe('regenerate', () => {
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'first response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
       {
         type: 'stream-chunks',
         chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
+          formatChunk({ type: 'text-start', id: '0' }),
+          formatChunk({
             type: 'text-delta',
             id: '0',
             delta: 'second response',
           }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
+          formatChunk({ type: 'text-end', id: '0' }),
         ],
       },
     ];
@@ -368,7 +368,7 @@ describe('regenerate', () => {
         },
       ],
       'request-body-key': 'request-body-value',
-      trigger: 'regenerate-assistant-message',
+      trigger: 'regenerate-message',
     });
 
     expect(server.calls[1].requestHeaders).toStrictEqual({
@@ -389,29 +389,13 @@ describe('tool invocations', () => {
   it('should display partial tool call, tool call, and tool result', async () => {
     const controller = new TestResponseController();
     server.urls['/api/chat'].response = [
-      {
-        type: 'controlled-stream',
-        controller,
-      },
-      // DO NOT REMOVE: used to ensure test does not have side-effects
-      {
-        type: 'stream-chunks',
-        chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
-            type: 'text-delta',
-            id: '0',
-            delta: 'extra text',
-          }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
-        ],
-      },
+      { type: 'controlled-stream', controller },
     ];
 
     await userEvent.click(screen.getByTestId('do-append'));
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-start',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -425,7 +409,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: '{"testArg":"t',
@@ -439,7 +423,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-delta',
         toolCallId: 'tool-call-0',
         inputTextDelta: 'est-value"}}',
@@ -453,7 +437,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -473,7 +457,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -492,11 +476,6 @@ describe('tool invocations', () => {
         output: 'test-result',
       });
     });
-
-    // DO NOT REMOVE: used to ensure test does not have side-effects
-    await waitFor(() => {
-      expect(screen.getByTestId('text-1')).toHaveTextContent('extra text');
-    });
   });
 
   it('should display tool call and tool result (when there is no tool call streaming)', async () => {
@@ -506,25 +485,12 @@ describe('tool invocations', () => {
         type: 'controlled-stream',
         controller,
       },
-      // DO NOT REMOVE: used to ensure test does not have side-effects
-      {
-        type: 'stream-chunks',
-        chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
-            type: 'text-delta',
-            id: '0',
-            delta: 'extra text',
-          }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
-        ],
-      },
     ];
 
     await userEvent.click(screen.getByTestId('do-append'));
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -544,7 +510,7 @@ describe('tool invocations', () => {
     });
 
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-output-available',
         toolCallId: 'tool-call-0',
         output: 'test-result',
@@ -555,11 +521,6 @@ describe('tool invocations', () => {
     await waitFor(() => {
       expect(screen.getByTestId('message-1')).toHaveTextContent('test-result');
     });
-
-    // DO NOT REMOVE: wait for final text to ensure test does not have side-effects
-    await waitFor(() => {
-      expect(screen.getByTestId('text-1')).toHaveTextContent('extra text');
-    });
   });
 
   it('should update tool call to result when addToolResult is called', async () => {
@@ -569,27 +530,14 @@ describe('tool invocations', () => {
         type: 'controlled-stream',
         controller,
       },
-      // DO NOT REMOVE: used to ensure test does not have side-effects
-      {
-        type: 'stream-chunks',
-        chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
-            type: 'text-delta',
-            id: '0',
-            delta: 'extra text',
-          }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
-        ],
-      },
     ];
 
     await userEvent.click(screen.getByTestId('do-append'));
 
-    controller.write(formatStreamPart({ type: 'start' }));
-    controller.write(formatStreamPart({ type: 'start-step' }));
+    controller.write(formatChunk({ type: 'start' }));
+    controller.write(formatChunk({ type: 'start-step' }));
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'tool-input-available',
         toolCallId: 'tool-call-0',
         toolName: 'test-tool',
@@ -611,93 +559,16 @@ describe('tool invocations', () => {
       );
     });
 
-    controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+    controller.write(formatChunk({ type: 'text-start', id: '0' }));
     controller.write(
-      formatStreamPart({
+      formatChunk({
         type: 'text-delta',
         id: '0',
         delta: 'more text',
       }),
     );
-    controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+    controller.write(formatChunk({ type: 'text-end', id: '0' }));
     controller.close();
-
-    // DO NOT REMOVE: used to ensure test does not have side-effects
-    await waitFor(() => {
-      expect(screen.getByTestId('text-1')).toHaveTextContent('extra text');
-    });
-  });
-
-  it('should delay tool result submission until the stream is finished', async () => {
-    const controller1 = new TestResponseController();
-
-    server.urls['/api/chat'].response = [
-      { type: 'controlled-stream', controller: controller1 },
-      // DO NOT REMOVE: used to ensure test does not have side-effects
-      {
-        type: 'stream-chunks',
-        chunks: [
-          formatStreamPart({ type: 'text-start', id: '0' }),
-          formatStreamPart({
-            type: 'text-delta',
-            id: '0',
-            delta: 'extra text',
-          }),
-          formatStreamPart({ type: 'text-end', id: '0' }),
-        ],
-      },
-    ];
-
-    await userEvent.click(screen.getByTestId('do-append'));
-
-    // start stream
-    controller1.write(formatStreamPart({ type: 'start' }));
-    controller1.write(formatStreamPart({ type: 'start-step' }));
-
-    // tool call
-    controller1.write(
-      formatStreamPart({
-        type: 'tool-input-available',
-        toolCallId: 'tool-call-0',
-        toolName: 'test-tool',
-        input: { testArg: 'test-value' },
-      }),
-    );
-
-    await waitFor(() => {
-      expect(screen.getByTestId('message-1')).toHaveTextContent(
-        '{"type":"tool-test-tool","toolCallId":"tool-call-0","state":"input-available","input":{"testArg":"test-value"}}',
-      );
-    });
-
-    // user submits the tool result
-    await userEvent.click(screen.getByTestId('add-result-0'));
-
-    // UI should show the tool result
-    await waitFor(() => {
-      expect(screen.getByTestId('message-1')).toHaveTextContent(
-        '{"type":"tool-test-tool","toolCallId":"tool-call-0","state":"output-available","input":{"testArg":"test-value"},"output":"test-result"}',
-      );
-    });
-
-    // should not have called the API yet
-    expect(server.calls.length).toBe(1);
-
-    // finish stream
-    controller1.write(formatStreamPart({ type: 'finish-step' }));
-    controller1.write(formatStreamPart({ type: 'finish' }));
-
-    await controller1.close();
-
-    // 2nd call should happen after the stream is finished
-    await waitFor(() => {
-      expect(server.calls.length).toBe(2);
-    });
-
-    // DO NOT REMOVE: used to ensure test does not have side-effects
-    await waitFor(() => {
-      expect(screen.getByTestId('text-1')).toHaveTextContent('extra text');
-    });
   });
 });
 
@@ -708,16 +579,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with text attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -773,16 +644,16 @@ describe('file attachments with data url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -842,16 +713,16 @@ describe('file attachments with url', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -903,16 +774,16 @@ describe('attachments with empty submit', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to empty message with attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -969,16 +840,16 @@ describe('should append message with attachments', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({
+        formatChunk({
           type: 'text-start',
           id: '0',
         }),
-        formatStreamPart({
+        formatChunk({
           type: 'text-delta',
           id: '0',
           delta: 'Response to message with image attachment',
         }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -1027,12 +898,12 @@ describe('init messages', () => {
     server.urls['/api/chat'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
diff --git a/packages/vue/src/use-completion.ui.test.ts b/packages/vue/src/use-completion.ui.test.ts
index 9dd76be3f993..ff6b0555bc9a 100644
--- a/packages/vue/src/use-completion.ui.test.ts
+++ b/packages/vue/src/use-completion.ui.test.ts
@@ -5,12 +5,12 @@ import {
 import '@testing-library/jest-dom/vitest';
 import userEvent from '@testing-library/user-event';
 import { findByText, screen } from '@testing-library/vue';
-import { UIMessageStreamPart } from 'ai';
+import { UIMessageChunk } from 'ai';
 import TestCompletionComponent from './TestCompletionComponent.vue';
 import TestCompletionTextStreamComponent from './TestCompletionTextStreamComponent.vue';
 import { setupTestComponent } from './setup-test-component';
 
-function formatStreamPart(part: UIMessageStreamPart) {
+function formatChunk(part: UIMessageChunk) {
   return `data: ${JSON.stringify(part)}\n\n`;
 }
 
@@ -25,12 +25,12 @@ describe('stream data stream', () => {
     server.urls['/api/completion'].response = {
       type: 'stream-chunks',
       chunks: [
-        formatStreamPart({ type: 'text-start', id: '0' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ',' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: ' world' }),
-        formatStreamPart({ type: 'text-delta', id: '0', delta: '.' }),
-        formatStreamPart({ type: 'text-end', id: '0' }),
+        formatChunk({ type: 'text-start', id: '0' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ',' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: ' world' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: '.' }),
+        formatChunk({ type: 'text-end', id: '0' }),
       ],
     };
 
@@ -53,11 +53,11 @@ describe('stream data stream', () => {
       await screen.findByTestId('loading');
       expect(screen.getByTestId('loading')).toHaveTextContent('true');
 
-      controller.write(formatStreamPart({ type: 'text-start', id: '0' }));
+      controller.write(formatChunk({ type: 'text-start', id: '0' }));
       controller.write(
-        formatStreamPart({ type: 'text-delta', id: '0', delta: 'Hello' }),
+        formatChunk({ type: 'text-delta', id: '0', delta: 'Hello' }),
       );
-      controller.write(formatStreamPart({ type: 'text-end', id: '0' }));
+      controller.write(formatChunk({ type: 'text-end', id: '0' }));
       controller.close();
 
       await findByText(await screen.findByTestId('loading'), 'false');
diff --git a/packages/xai/CHANGELOG.md b/packages/xai/CHANGELOG.md
index 1e09039c99f5..07827a747ac8 100644
--- a/packages/xai/CHANGELOG.md
+++ b/packages/xai/CHANGELOG.md
@@ -1,5 +1,74 @@
 # @ai-sdk/xai
 
+## 2.0.0-beta.11
+
+### Patch Changes
+
+- Updated dependencies [737f1e2]
+- Updated dependencies [ac34802]
+  - @ai-sdk/openai-compatible@1.0.0-beta.9
+  - @ai-sdk/provider-utils@3.0.0-beta.6
+
+## 2.0.0-beta.10
+
+### Patch Changes
+
+- Updated dependencies [57edfcb]
+- Updated dependencies [383cbfa]
+  - @ai-sdk/provider-utils@3.0.0-beta.5
+  - @ai-sdk/openai-compatible@1.0.0-beta.8
+
+## 2.0.0-beta.9
+
+### Patch Changes
+
+- 205077b: fix: improve Zod compatibility
+- Updated dependencies [205077b]
+  - @ai-sdk/openai-compatible@1.0.0-beta.7
+  - @ai-sdk/provider-utils@3.0.0-beta.4
+
+## 2.0.0-beta.8
+
+### Patch Changes
+
+- 6d835a7: fix (provider/grok): filter duplicated reasoning chunks
+
+## 2.0.0-beta.7
+
+### Patch Changes
+
+- Updated dependencies [281bb1c]
+  - @ai-sdk/openai-compatible@1.0.0-beta.6
+
+## 2.0.0-beta.6
+
+### Patch Changes
+
+- Updated dependencies [05d2819]
+  - @ai-sdk/provider-utils@3.0.0-beta.3
+  - @ai-sdk/openai-compatible@1.0.0-beta.5
+
+## 2.0.0-beta.5
+
+### Patch Changes
+
+- 66b9661: feat (provider/xai): export XaiProviderOptions
+- Updated dependencies [1b101e1]
+  - @ai-sdk/openai-compatible@1.0.0-beta.4
+
+## 2.0.0-beta.4
+
+### Patch Changes
+
+- 9e986f7: feat (provider/xai): add grok-4 model id
+
+## 2.0.0-beta.3
+
+### Patch Changes
+
+- Updated dependencies [7b069ed]
+  - @ai-sdk/openai-compatible@1.0.0-beta.3
+
 ## 2.0.0-beta.2
 
 ### Patch Changes
diff --git a/packages/xai/package.json b/packages/xai/package.json
index 11d558328492..5bbca83a73a8 100644
--- a/packages/xai/package.json
+++ b/packages/xai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/xai",
-  "version": "2.0.0-beta.2",
+  "version": "2.0.0-beta.11",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -41,10 +41,10 @@
     "@vercel/ai-tsconfig": "workspace:*",
     "tsup": "^8",
     "typescript": "5.8.3",
-    "zod": "3.25.49"
+    "zod": "3.25.76"
   },
   "peerDependencies": {
-    "zod": "^3.25.49"
+    "zod": "^3.25.76 || ^4"
   },
   "engines": {
     "node": ">=18"
diff --git a/packages/xai/src/index.ts b/packages/xai/src/index.ts
index c70003ec6157..09c4d4b55273 100644
--- a/packages/xai/src/index.ts
+++ b/packages/xai/src/index.ts
@@ -1,3 +1,4 @@
+export type { XaiProviderOptions } from './xai-chat-options';
+export type { XaiErrorData } from './xai-error';
 export { createXai, xai } from './xai-provider';
 export type { XaiProvider, XaiProviderSettings } from './xai-provider';
-export type { XaiErrorData } from './xai-error';
diff --git a/packages/xai/src/xai-chat-language-model.test.ts b/packages/xai/src/xai-chat-language-model.test.ts
index ea63d4f52366..b8adb57fef66 100644
--- a/packages/xai/src/xai-chat-language-model.test.ts
+++ b/packages/xai/src/xai-chat-language-model.test.ts
@@ -1285,6 +1285,96 @@ describe('XaiChatLanguageModel', () => {
         ]
       `);
     });
+
+    it('should deduplicate repetitive reasoning deltas', async () => {
+      server.urls['https://api.x.ai/v1/chat/completions'].response = {
+        type: 'stream-chunks',
+        chunks: [
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"role":"assistant","content":""},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          // Multiple identical "Thinking..." deltas (simulating Grok 4 issue)
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"reasoning_content":"Thinking... "},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"reasoning_content":"Thinking... "},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"reasoning_content":"Thinking... "},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          // Different reasoning content should still come through
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"reasoning_content":"Actually calculating now..."},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{"content":"The answer is 42."},"finish_reason":null}],"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          `data: {"id":"grok-4-test","object":"chat.completion.chunk","created":1750538120,"model":"grok-4-0709",` +
+            `"choices":[{"index":0,"delta":{},"finish_reason":"stop"}],` +
+            `"usage":{"prompt_tokens":15,"total_tokens":35,"completion_tokens":20,"completion_tokens_details":{"reasoning_tokens":10}},"system_fingerprint":"fp_reasoning_v1"}\n\n`,
+          `data: [DONE]\n\n`,
+        ],
+      };
+
+      const { stream } = await reasoningModel.doStream({
+        prompt: TEST_PROMPT,
+        includeRawChunks: false,
+        providerOptions: {
+          xai: { reasoningEffort: 'low' },
+        },
+      });
+
+      expect(await convertReadableStreamToArray(stream)).toMatchInlineSnapshot(`
+        [
+          {
+            "type": "stream-start",
+            "warnings": [],
+          },
+          {
+            "id": "grok-4-test",
+            "modelId": "grok-4-0709",
+            "timestamp": 2025-06-21T20:35:20.000Z,
+            "type": "response-metadata",
+          },
+          {
+            "id": "reasoning-grok-4-test",
+            "type": "reasoning-start",
+          },
+          {
+            "delta": "Thinking... ",
+            "id": "reasoning-grok-4-test",
+            "type": "reasoning-delta",
+          },
+          {
+            "delta": "Actually calculating now...",
+            "id": "reasoning-grok-4-test",
+            "type": "reasoning-delta",
+          },
+          {
+            "id": "text-grok-4-test",
+            "type": "text-start",
+          },
+          {
+            "delta": "The answer is 42.",
+            "id": "text-grok-4-test",
+            "type": "text-delta",
+          },
+          {
+            "id": "reasoning-grok-4-test",
+            "type": "reasoning-end",
+          },
+          {
+            "id": "text-grok-4-test",
+            "type": "text-end",
+          },
+          {
+            "finishReason": "stop",
+            "type": "finish",
+            "usage": {
+              "inputTokens": 15,
+              "outputTokens": 20,
+              "reasoningTokens": 10,
+              "totalTokens": 35,
+            },
+          },
+        ]
+      `);
+    });
   });
 });
 
diff --git a/packages/xai/src/xai-chat-language-model.ts b/packages/xai/src/xai-chat-language-model.ts
index b7ec60225d40..c3990c0215f3 100644
--- a/packages/xai/src/xai-chat-language-model.ts
+++ b/packages/xai/src/xai-chat-language-model.ts
@@ -330,6 +330,7 @@ export class XaiChatLanguageModel implements LanguageModelV2 {
     };
     let isFirstChunk = true;
     const contentBlocks: Record<string, { type: 'text' | 'reasoning' }> = {};
+    const lastReasoningDeltas: Record<string, string> = {};
 
     const self = this;
 
@@ -439,6 +440,12 @@ export class XaiChatLanguageModel implements LanguageModelV2 {
             ) {
               const blockId = `reasoning-${value.id || choiceIndex}`;
 
+              // skip if this reasoning content duplicates the last delta
+              if (lastReasoningDeltas[blockId] === delta.reasoning_content) {
+                return;
+              }
+              lastReasoningDeltas[blockId] = delta.reasoning_content;
+
               if (contentBlocks[blockId] == null) {
                 contentBlocks[blockId] = { type: 'reasoning' };
                 controller.enqueue({
diff --git a/packages/xai/src/xai-chat-options.ts b/packages/xai/src/xai-chat-options.ts
index 8774d240ca6d..c30da8877515 100644
--- a/packages/xai/src/xai-chat-options.ts
+++ b/packages/xai/src/xai-chat-options.ts
@@ -2,6 +2,9 @@ import { z } from 'zod/v4';
 
 // https://console.x.ai and see "View models"
 export type XaiChatModelId =
+  | 'grok-4'
+  | 'grok-4-0709'
+  | 'grok-4-latest'
   | 'grok-3'
   | 'grok-3-latest'
   | 'grok-3-fast'
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 97caf873f146..ab27c9f2fc25 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -28,16 +28,16 @@ importers:
         version: 15.2.10
       next:
         specifier: 15.0.0-canary.23
-        version: 15.0.0-canary.23(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@19.0.0-rc-cc1ec60d0d-20240607(react@19.0.0-rc-cc1ec60d0d-20240607))(react@19.0.0-rc-cc1ec60d0d-20240607)
+        version: 15.0.0-canary.23(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@19.0.0-rc-cc1ec60d0d-20240607(react@19.0.0-rc-cc1ec60d0d-20240607))(react@19.0.0-rc-cc1ec60d0d-20240607)(sass@1.85.0)
       playwright:
         specifier: ^1.44.1
         version: 1.46.0
       prettier:
-        specifier: ^3.3.3
+        specifier: 3.5.3
         version: 3.5.3
       prettier-plugin-svelte:
         specifier: ^3.3.3
-        version: 3.3.3(prettier@3.5.3)(svelte@5.32.1)
+        version: 3.4.0(prettier@3.5.3)(svelte@5.32.1)
       publint:
         specifier: 0.2.12
         version: 0.2.12
@@ -58,7 +58,7 @@ importers:
         version: 3.6.0
       vitest:
         specifier: 2.1.4
-        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@22.7.4)(jsdom@26.0.0)(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(terser@5.31.3)
+        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@22.7.4)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0)
 
   examples/ai-core:
     dependencies:
@@ -189,11 +189,11 @@ importers:
         specifier: ^1.0.0-rc.0 || ^1.0.0
         version: 1.0.0-rc.0(typescript@5.8.3)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
       zod-to-json-schema:
         specifier: 3.23.5
-        version: 3.23.5(zod@3.25.49)
+        version: 3.23.5(zod@3.25.76)
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -208,6 +208,85 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
 
+  examples/angular:
+    dependencies:
+      '@ai-sdk/angular':
+        specifier: workspace:*
+        version: link:../../packages/angular
+      '@ai-sdk/openai':
+        specifier: workspace:*
+        version: link:../../packages/openai
+      '@angular/common':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)
+      '@angular/compiler':
+        specifier: ^19.2.0
+        version: 19.2.14
+      '@angular/core':
+        specifier: ^19.2.0
+        version: 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      '@angular/forms':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))(rxjs@7.8.1)
+      '@angular/platform-browser':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))
+      '@angular/platform-browser-dynamic':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/compiler@19.2.14)(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))
+      '@angular/router':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))(rxjs@7.8.1)
+      '@vercel/ai-tsconfig':
+        specifier: workspace:*
+        version: link:../../tools/tsconfig
+      ai:
+        specifier: workspace:*
+        version: link:../../packages/ai
+      dotenv:
+        specifier: 16.4.5
+        version: 16.4.5
+      express:
+        specifier: 5.0.1
+        version: 5.0.1
+      rxjs:
+        specifier: ~7.8.0
+        version: 7.8.1
+      tslib:
+        specifier: ^2.3.0
+        version: 2.8.1
+      zod:
+        specifier: 3.25.76
+        version: 3.25.76
+      zone.js:
+        specifier: ~0.15.0
+        version: 0.15.1
+    devDependencies:
+      '@angular-devkit/build-angular':
+        specifier: ^19.2.11
+        version: 19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(@angular/compiler@19.2.14)(@types/node@20.17.24)(chokidar@4.0.3)(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(jiti@2.4.0)(tailwindcss@3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(tsx@4.19.2)(typescript@5.8.3)(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(yaml@2.7.0)
+      '@angular/cli':
+        specifier: ^19.2.11
+        version: 19.2.15(@types/node@20.17.24)(chokidar@4.0.3)
+      '@angular/compiler-cli':
+        specifier: ^19.2.0
+        version: 19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3)
+      '@types/express':
+        specifier: 5.0.0
+        version: 5.0.0
+      '@types/node':
+        specifier: 20.17.24
+        version: 20.17.24
+      concurrently:
+        specifier: ^9.1.0
+        version: 9.1.0
+      tsx:
+        specifier: 4.19.2
+        version: 4.19.2
+      typescript:
+        specifier: 5.8.3
+        version: 5.8.3
+
   examples/express:
     dependencies:
       '@ai-sdk/openai':
@@ -316,8 +395,8 @@ importers:
         specifier: 5.0.1
         version: 5.0.1
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/express':
         specifier: 5.0.0
@@ -345,7 +424,7 @@ importers:
         version: 10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1)
       '@nestjs/core':
         specifier: ^10.0.0
-        version: 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(reflect-metadata@0.2.2)(rxjs@7.8.1)
+        version: 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(encoding@0.1.13)(reflect-metadata@0.2.2)(rxjs@7.8.1)
       '@nestjs/platform-express':
         specifier: ^10.4.9
         version: 10.4.9(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/core@10.4.2)
@@ -412,7 +491,7 @@ importers:
         version: 7.0.0
       ts-jest:
         specifier: ^29.1.0
-        version: 29.2.5(@babel/core@7.26.0)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.26.0))(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)))(typescript@5.5.4)
+        version: 29.2.5(@babel/core@7.26.10)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.26.10))(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)))(typescript@5.5.4)
       ts-loader:
         specifier: ^9.4.3
         version: 9.5.1(typescript@5.5.4)(webpack@5.96.1)
@@ -428,6 +507,9 @@ importers:
 
   examples/next:
     dependencies:
+      '@ai-sdk/openai':
+        specifier: workspace:*
+        version: link:../../packages/openai
       '@ai-sdk/react':
         specifier: workspace:*
         version: link:../../packages/react
@@ -439,7 +521,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.3.3(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 15.3.3(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.3.1
@@ -453,8 +535,8 @@ importers:
         specifier: ^2.2.0
         version: 2.2.0
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -497,10 +579,10 @@ importers:
         version: link:../../packages/ai
       geist:
         specifier: ^1.3.1
-        version: 1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0))
+        version: 1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0))
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -552,10 +634,10 @@ importers:
         version: link:../../packages/ai
       geist:
         specifier: ^1.3.1
-        version: 1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))
+        version: 1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0))
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.3.1
@@ -598,19 +680,19 @@ importers:
         version: link:../../packages/react
       '@langchain/core':
         specifier: 0.1.63
-        version: 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+        version: 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       '@langchain/openai':
         specifier: 0.0.28
-        version: 0.0.28
+        version: 0.0.28(encoding@0.1.13)
       ai:
         specifier: workspace:*
         version: link:../../packages/ai
       langchain:
         specifier: 0.1.36
-        version: 0.1.36(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(fast-xml-parser@4.4.1)(ignore@5.3.2)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.49))(playwright@1.50.1)(redis@4.7.0)(ws@8.18.0)
+        version: 0.1.36(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(encoding@0.1.13)(fast-xml-parser@4.4.1)(ignore@5.3.2)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.76))(playwright@1.50.1)(redis@4.7.0)(ws@8.18.0)
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -707,7 +789,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.3.1
@@ -721,11 +803,11 @@ importers:
         specifier: ^4.7.0
         version: 4.7.0
       resumable-stream:
-        specifier: ^2.0.0
-        version: 2.0.0
+        specifier: ^2.2.0
+        version: 2.2.0
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -774,7 +856,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.3.1
@@ -829,7 +911,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -837,8 +919,8 @@ importers:
         specifier: ^18
         version: 18.2.0(react@18.2.0)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -896,7 +978,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -904,8 +986,8 @@ importers:
         specifier: ^18
         version: 18.2.0(react@18.2.0)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -954,7 +1036,7 @@ importers:
         version: 0.55.0(@opentelemetry/api@1.9.0)
       '@sentry/nextjs':
         specifier: ^8.42.0
-        version: 8.42.0(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0))(react@18.2.0)(webpack@5.96.1)
+        version: 8.42.0(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(encoding@0.1.13)(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0))(react@18.2.0)(webpack@5.98.0)
       '@sentry/opentelemetry':
         specifier: 8.22.0
         version: 8.22.0(@opentelemetry/api@1.9.0)(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/semantic-conventions@1.27.0)
@@ -966,7 +1048,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -974,8 +1056,8 @@ importers:
         specifier: ^18
         version: 18.2.0(react@18.2.0)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -1027,7 +1109,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
       react:
         specifier: ^18
         version: 18.3.1
@@ -1081,11 +1163,11 @@ importers:
         specifier: 16.4.5
         version: 16.4.5
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
       zod-to-json-schema:
         specifier: 3.23.5
-        version: 3.23.5(zod@3.25.49)
+        version: 3.23.5(zod@3.25.76)
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -1112,12 +1194,12 @@ importers:
         specifier: workspace:*
         version: link:../../packages/ai
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
     devDependencies:
       '@nuxt/devtools':
         specifier: 1.6.3
-        version: 1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))
+        version: 1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))
       '@nuxt/ui-templates':
         specifier: 1.3.4
         version: 1.3.4
@@ -1144,7 +1226,7 @@ importers:
         version: 3.5.12
       nuxt:
         specifier: 3.14.159
-        version: 3.14.159(@parcel/watcher@2.4.1)(@types/node@20.17.24)(@upstash/redis@1.34.3)(eslint@9.21.0(jiti@2.4.0))(ioredis@5.4.1)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(terser@5.31.3)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(webpack-sources@3.2.3)
+        version: 3.14.159(@parcel/watcher@2.4.1)(@types/node@20.17.24)(@upstash/redis@1.34.3)(encoding@0.1.13)(eslint@9.21.0(jiti@2.4.0))(ioredis@5.4.1)(less@4.2.2)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(sass@1.85.0)(terser@5.39.0)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(webpack-sources@3.2.3)
       tailwindcss:
         specifier: 3.4.15
         version: 3.4.15(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
@@ -1177,13 +1259,13 @@ importers:
         version: 9.21.0
       '@sveltejs/adapter-vercel':
         specifier: ^5.5.2
-        version: 5.6.3(@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(rollup@4.34.9)
+        version: 5.6.3(@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(encoding@0.1.13)(rollup@4.34.9)
       '@sveltejs/kit':
         specifier: ^2.16.0
-        version: 2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+        version: 2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@sveltejs/vite-plugin-svelte':
         specifier: ^5.0.0
-        version: 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+        version: 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@vercel/ai-tsconfig':
         specifier: workspace:*
         version: link:../../tools/tsconfig
@@ -1237,10 +1319,10 @@ importers:
         version: 8.26.0(eslint@9.21.0(jiti@2.4.0))(typescript@5.6.3)
       vite:
         specifier: ^6.0.0
-        version: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+        version: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/ai:
     dependencies:
@@ -1282,8 +1364,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/amazon-bedrock:
     dependencies:
@@ -1316,8 +1398,48 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
+
+  packages/angular:
+    dependencies:
+      '@ai-sdk/provider-utils':
+        specifier: workspace:*
+        version: link:../provider-utils
+      '@angular/core':
+        specifier: '>=16.0.0'
+        version: 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      ai:
+        specifier: workspace:*
+        version: link:../ai
+      zod:
+        specifier: ^3.25.76 || ^4
+        version: 3.25.76
+    devDependencies:
+      '@types/node':
+        specifier: 20.17.24
+        version: 20.17.24
+      '@vercel/ai-tsconfig':
+        specifier: workspace:*
+        version: link:../../tools/tsconfig
+      eslint:
+        specifier: 8.57.1
+        version: 8.57.1
+      eslint-config-vercel-ai:
+        specifier: workspace:*
+        version: link:../../tools/eslint-config
+      jsdom:
+        specifier: ^24.0.0
+        version: 24.0.0
+      tsup:
+        specifier: ^7.2.0
+        version: 7.2.0(postcss@8.5.3)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))(typescript@5.8.3)
+      typescript:
+        specifier: 5.8.3
+        version: 5.8.3
+      vitest:
+        specifier: ^3.0.0
+        version: 3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@24.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
   packages/anthropic:
     dependencies:
@@ -1341,8 +1463,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/assemblyai:
     dependencies:
@@ -1366,8 +1488,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/azure:
     dependencies:
@@ -1394,8 +1516,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/cerebras:
     dependencies:
@@ -1422,8 +1544,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/codemod:
     dependencies:
@@ -1438,7 +1560,7 @@ importers:
         version: 4.3.7
       jscodeshift:
         specifier: ^17.1.1
-        version: 17.1.1
+        version: 17.1.1(@babel/preset-env@7.26.9(@babel/core@7.25.2))
     devDependencies:
       '@types/cli-progress':
         specifier: ^3.11.6
@@ -1475,7 +1597,7 @@ importers:
         version: 5.8.3
       vitest:
         specifier: 2.1.4
-        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@26.0.0)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(terser@5.31.3)
+        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@26.0.0)(less@4.2.2)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0)
 
   packages/cohere:
     dependencies:
@@ -1499,8 +1621,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/deepgram:
     dependencies:
@@ -1524,8 +1646,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/deepinfra:
     dependencies:
@@ -1552,8 +1674,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/deepseek:
     dependencies:
@@ -1580,8 +1702,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/elevenlabs:
     dependencies:
@@ -1605,8 +1727,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/fal:
     dependencies:
@@ -1630,8 +1752,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/fireworks:
     dependencies:
@@ -1658,8 +1780,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/gateway:
     dependencies:
@@ -1683,8 +1805,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/gladia:
     dependencies:
@@ -1708,8 +1830,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/google:
     dependencies:
@@ -1733,8 +1855,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/google-vertex:
     dependencies:
@@ -1752,7 +1874,7 @@ importers:
         version: link:../provider-utils
       google-auth-library:
         specifier: ^9.15.0
-        version: 9.15.0
+        version: 9.15.0(encoding@0.1.13)
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -1767,8 +1889,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/groq:
     dependencies:
@@ -1792,8 +1914,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/hume:
     dependencies:
@@ -1817,8 +1939,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/langchain:
     dependencies:
@@ -1880,8 +2002,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/luma:
     dependencies:
@@ -1905,8 +2027,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/mistral:
     dependencies:
@@ -1930,8 +2052,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/openai:
     dependencies:
@@ -1955,8 +2077,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/openai-compatible:
     dependencies:
@@ -1980,8 +2102,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/perplexity:
     dependencies:
@@ -2005,8 +2127,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/provider:
     dependencies:
@@ -2043,7 +2165,7 @@ importers:
         version: 3.0.3
       zod-to-json-schema:
         specifier: ^3.24.1
-        version: 3.24.1(zod@3.25.49)
+        version: 3.24.1(zod@3.25.76)
     devDependencies:
       '@types/node':
         specifier: 20.17.24
@@ -2061,8 +2183,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/react:
     dependencies:
@@ -2125,8 +2247,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/replicate:
     dependencies:
@@ -2150,8 +2272,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/revai:
     dependencies:
@@ -2175,8 +2297,8 @@ importers:
         specifier: 5.6.3
         version: 5.6.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/rsc:
     dependencies:
@@ -2216,7 +2338,7 @@ importers:
         version: link:../../tools/tsconfig
       '@vitejs/plugin-react':
         specifier: 4.3.3
-        version: 4.3.3(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+        version: 4.3.3(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       eslint:
         specifier: 8.57.1
         version: 8.57.1
@@ -2237,7 +2359,7 @@ importers:
         version: 18.3.1(react@18.3.1)
       react-server-dom-webpack:
         specifier: 18.3.0-canary-eb33bd747-20240312
-        version: 18.3.0-canary-eb33bd747-20240312(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(webpack@5.96.1)
+        version: 18.3.0-canary-eb33bd747-20240312(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(webpack@5.98.0)
       tsup:
         specifier: ^7.2.0
         version: 7.2.0(postcss@8.5.3)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))(typescript@5.8.3)
@@ -2245,8 +2367,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/rsc/tests/e2e/next-server:
     dependencies:
@@ -2255,7 +2377,7 @@ importers:
         version: link:../../../../ai
       next:
         specifier: canary
-        version: 15.3.0-canary.43(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@19.0.0-rc.1(react@19.0.0-rc.1))(react@19.0.0-rc.1)
+        version: 15.3.0-canary.43(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@19.0.0-rc.1(react@19.0.0-rc.1))(react@19.0.0-rc.1)(sass@1.85.0)
       react:
         specifier: rc
         version: 19.0.0-rc.1
@@ -2283,13 +2405,13 @@ importers:
         version: 2.3.10(svelte@5.32.1)(typescript@5.6.3)
       '@sveltejs/vite-plugin-svelte':
         specifier: ^5.0.3
-        version: 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+        version: 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@testing-library/jest-dom':
         specifier: ^6.6.3
         version: 6.6.3
       '@testing-library/svelte':
         specifier: ^5.2.4
-        version: 5.2.7(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))(vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+        version: 5.2.7(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@types/node':
         specifier: 20.17.24
         version: 20.17.24
@@ -2325,13 +2447,13 @@ importers:
         version: 8.26.0(eslint@9.21.0(jiti@2.4.0))(typescript@5.6.3)
       vite:
         specifier: ^6.0.0
-        version: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+        version: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
       vitest:
         specifier: ^3.0.0
-        version: 3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+        version: 3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/togetherai:
     dependencies:
@@ -2358,8 +2480,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/valibot:
     dependencies:
@@ -2411,8 +2533,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   packages/vue:
     dependencies:
@@ -2446,7 +2568,7 @@ importers:
         version: link:../../tools/tsconfig
       '@vitejs/plugin-vue':
         specifier: 5.2.0
-        version: 5.2.0(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))(vue@3.3.8(typescript@5.8.3))
+        version: 5.2.0(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(vue@3.3.8(typescript@5.8.3))
       eslint:
         specifier: 8.57.1
         version: 8.57.1
@@ -2467,7 +2589,7 @@ importers:
         version: 5.8.3
       vitest:
         specifier: 2.1.4
-        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@24.0.0)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(terser@5.31.3)
+        version: 2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@24.0.0)(less@4.2.2)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0)
 
   packages/xai:
     dependencies:
@@ -2494,8 +2616,8 @@ importers:
         specifier: 5.8.3
         version: 5.8.3
       zod:
-        specifier: 3.25.49
-        version: 3.25.49
+        specifier: 3.25.76
+        version: 3.25.76
 
   tools/analyze-downloads:
     devDependencies:
@@ -2545,6 +2667,61 @@ packages:
     resolution: {integrity: sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==}
     engines: {node: '>=6.0.0'}
 
+  '@angular-devkit/architect@0.1902.15':
+    resolution: {integrity: sha512-RbqhStc6ZoRv57ZqLB36VOkBkAdU3nNezCvIs0AJV5V4+vLPMrb0hpIB0sF+9yMlMjWsolnRsj0/Fil+zQG3bw==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+
+  '@angular-devkit/build-angular@19.2.15':
+    resolution: {integrity: sha512-mqudAcyrSp/E7ZQdQoHfys0/nvQuwyJDaAzj3qL3HUStuUzb5ULNOj2f6sFBo+xYo+/WT8IzmzDN9DCqDgvFaA==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+    peerDependencies:
+      '@angular/compiler-cli': ^19.0.0 || ^19.2.0-next.0
+      '@angular/localize': ^19.0.0 || ^19.2.0-next.0
+      '@angular/platform-server': ^19.0.0 || ^19.2.0-next.0
+      '@angular/service-worker': ^19.0.0 || ^19.2.0-next.0
+      '@angular/ssr': ^19.2.15
+      '@web/test-runner': ^0.20.0
+      browser-sync: ^3.0.2
+      jest: ^29.5.0
+      jest-environment-jsdom: ^29.5.0
+      karma: ^6.3.0
+      ng-packagr: ^19.0.0 || ^19.2.0-next.0
+      protractor: ^7.0.0
+      tailwindcss: ^2.0.0 || ^3.0.0 || ^4.0.0
+      typescript: '>=5.5 <5.9'
+    peerDependenciesMeta:
+      '@angular/localize':
+        optional: true
+      '@angular/platform-server':
+        optional: true
+      '@angular/service-worker':
+        optional: true
+      '@angular/ssr':
+        optional: true
+      '@web/test-runner':
+        optional: true
+      browser-sync:
+        optional: true
+      jest:
+        optional: true
+      jest-environment-jsdom:
+        optional: true
+      karma:
+        optional: true
+      ng-packagr:
+        optional: true
+      protractor:
+        optional: true
+      tailwindcss:
+        optional: true
+
+  '@angular-devkit/build-webpack@0.1902.15':
+    resolution: {integrity: sha512-pIfZeizWsViXx8bsMoBLZw7Tl7uFf7bM7hAfmNwk0bb0QGzx5k1BiW6IKWyaG+Dg6U4UCrlNpIiut2b78HwQZw==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+    peerDependencies:
+      webpack: ^5.30.0
+      webpack-dev-server: ^5.0.2
+
   '@angular-devkit/core@17.3.11':
     resolution: {integrity: sha512-vTNDYNsLIWpYk2I969LMQFH29GTsLzxNk/0cLw5q56ARF0v5sIWfHYwGTS88jdDqIpuuettcSczbxeA7EuAmqQ==}
     engines: {node: ^18.13.0 || >=20.9.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
@@ -2554,6 +2731,15 @@ packages:
       chokidar:
         optional: true
 
+  '@angular-devkit/core@19.2.15':
+    resolution: {integrity: sha512-pU2RZYX6vhd7uLSdLwPnuBcr0mXJSjp3EgOXKsrlQFQZevc+Qs+2JdXgIElnOT/aDqtRtriDmLlSbtdE8n3ZbA==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+    peerDependencies:
+      chokidar: ^4.0.0
+    peerDependenciesMeta:
+      chokidar:
+        optional: true
+
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     resolution: {integrity: sha512-kcOMqp+PHAKkqRad7Zd7PbpqJ0LqLaNZdY1+k66lLWmkEBozgq8v4ASn/puPWf9Bo0HpCiK+EzLf0VHE8Z/y6Q==}
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+
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+    resolution: {integrity: sha512-iE4fp4d5ALu702uoL6/YkjM2JlGEXZ5G+RVzq3W2jg/Ft6ISAQnRKB6mymtetDD6oD7i87e8uSu9kFVNBauX2w==}
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+      '@angular/compiler-cli': ^19.0.0 || ^19.2.0-next.0
+      '@angular/localize': ^19.0.0 || ^19.2.0-next.0
+      '@angular/platform-server': ^19.0.0 || ^19.2.0-next.0
+      '@angular/service-worker': ^19.0.0 || ^19.2.0-next.0
+      '@angular/ssr': ^19.2.15
+      karma: ^6.4.0
+      less: ^4.2.0
+      ng-packagr: ^19.0.0 || ^19.2.0-next.0
+      postcss: ^8.4.0
+      tailwindcss: ^2.0.0 || ^3.0.0 || ^4.0.0
+      typescript: '>=5.5 <5.9'
+    peerDependenciesMeta:
+      '@angular/localize':
+        optional: true
+      '@angular/platform-server':
+        optional: true
+      '@angular/service-worker':
+        optional: true
+      '@angular/ssr':
+        optional: true
+      karma:
+        optional: true
+      less:
+        optional: true
+      ng-packagr:
+        optional: true
+      postcss:
+        optional: true
+      tailwindcss:
+        optional: true
+
+  '@angular/cli@19.2.15':
+    resolution: {integrity: sha512-YRIpARHWSOnWkHusUWTQgeUrPWMjWvtQrOkjWc6stF36z2KUzKMEng6EzUvH6sZolNSwVwOFpODEP0ut4aBkvQ==}
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+
+  '@angular/common@19.2.14':
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+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
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+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    hasBin: true
+    peerDependencies:
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+      typescript: '>=5.5 <5.9'
+
+  '@angular/compiler@19.2.14':
+    resolution: {integrity: sha512-ZqJDYOdhgKpVGNq3+n/Gbxma8DVYElDsoRe0tvNtjkWBVdaOxdZZUqmJ3kdCBsqD/aqTRvRBu0KGo9s2fCChkA==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+
+  '@angular/core@19.2.14':
+    resolution: {integrity: sha512-EVErpW9tGqJ/wNcAN3G/ErH8pHCJ8mM1E6bsJ8UJIpDTZkpqqYjBMtZS9YWH5n3KwUd1tAkAB2w8FK125AjDUQ==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    peerDependencies:
+      rxjs: ^6.5.3 || ^7.4.0
+      zone.js: ~0.15.0
+
+  '@angular/forms@19.2.14':
+    resolution: {integrity: sha512-hWtDOj2B0AuRTf+nkMJeodnFpDpmEK9OIhIv1YxcRe73ooaxrIdjgugkElO8I9Tj0E4/7m117ezhWDUkbqm1zA==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    peerDependencies:
+      '@angular/common': 19.2.14
+      '@angular/core': 19.2.14
+      '@angular/platform-browser': 19.2.14
+      rxjs: ^6.5.3 || ^7.4.0
+
+  '@angular/platform-browser-dynamic@19.2.14':
+    resolution: {integrity: sha512-Hfz0z1KDQmIdnFXVFCwCPykuIsHPkr1uW2aY396eARwZ6PK8i0Aadcm1ZOnpd3MR1bMyDrJo30VRS5kx89QWvA==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    peerDependencies:
+      '@angular/common': 19.2.14
+      '@angular/compiler': 19.2.14
+      '@angular/core': 19.2.14
+      '@angular/platform-browser': 19.2.14
+
+  '@angular/platform-browser@19.2.14':
+    resolution: {integrity: sha512-hzkT5nmA64oVBQl6PRjdL4dIFT1n7lfM9rm5cAoS+6LUUKRgiE2d421Kpn/Hz3jaCJfo+calMIdtSMIfUJBmww==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    peerDependencies:
+      '@angular/animations': 19.2.14
+      '@angular/common': 19.2.14
+      '@angular/core': 19.2.14
+    peerDependenciesMeta:
+      '@angular/animations':
+        optional: true
+
+  '@angular/router@19.2.14':
+    resolution: {integrity: sha512-cBTWY9Jx7YhbmDYDb7Hqz4Q7UNIMlKTkdKToJd2pbhIXyoS+kHVQrySmyca+jgvYMjWnIjsAEa3dpje12D4mFw==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0}
+    peerDependencies:
+      '@angular/common': 19.2.14
+      '@angular/core': 19.2.14
+      '@angular/platform-browser': 19.2.14
+      rxjs: ^6.5.3 || ^7.4.0
+
   '@antfu/utils@0.7.10':
     resolution: {integrity: sha512-+562v9k4aI80m1+VuMHehNJWLOFjBnXn3tdOitzD0il5b7smkSBal4+a3oKiQTbrwMmN/TBUMDvbdoWDehgOww==}
 
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     engines: {node: '>=6.9.0'}
 
+  '@babel/code-frame@7.27.1':
+    resolution: {integrity: sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==}
+    engines: {node: '>=6.9.0'}
+
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     resolution: {integrity: sha512-Z0WgzSEa+aUcdiJuCIqgujCshpMWgUpgOxXotrYPSA53hA3qopNaqcJpyr0hVb1FeWdnqFA35/fUtXgBK8srQg==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/compat-data@7.28.0':
+    resolution: {integrity: sha512-60X7qkglvrap8mn1lh2ebxXdZYtUcpd7gsmy9kLaBJ4i/WdY8PqTSdxyA8qraikqKQK5C1KRBKXqznrVapyNaw==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/core@7.25.2':
     resolution: {integrity: sha512-BBt3opiCOxUr9euZ5/ro/Xv8/V7yJ5bjYMqG/C1YAo8MIKAnumZalCN+msbci3Pigy4lIQfPUpfMM27HMGaYEA==}
     engines: {node: '>=6.9.0'}
@@ -2717,14 +3020,34 @@ packages:
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     engines: {node: '>=6.9.0'}
 
+  '@babel/core@7.26.10':
+    resolution: {integrity: sha512-vMqyb7XCDMPvJFFOaT9kxtiRh42GwlZEg1/uIgtZshS5a/8OaduUfCi7kynKgc3Tw/6Uo2D+db9qBttghhmxwQ==}
+    engines: {node: '>=6.9.0'}
+
+  '@babel/core@7.26.9':
+    resolution: {integrity: sha512-lWBYIrF7qK5+GjY5Uy+/hEgp8OJWOD/rpy74GplYRhEauvbHDeFB8t5hPOZxCZ0Oxf4Cc36tK51/l3ymJysrKw==}
+    engines: {node: '>=6.9.0'}
+
+  '@babel/generator@7.26.10':
+    resolution: {integrity: sha512-rRHT8siFIXQrAYOYqZQVsAr8vJ+cBNqcVAY6m5V8/4QqzaPl+zDBe6cLEPRDuNOUf3ww8RfJVlOyQMoSI+5Ang==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/generator@7.26.2':
     resolution: {integrity: sha512-zevQbhbau95nkoxSq3f/DC/SC+EEOUZd3DYqfSkMhY2/wfSeaHV1Ew4vk8e+x8lja31IbyuUa2uQ3JONqKbysw==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/generator@7.28.0':
+    resolution: {integrity: sha512-lJjzvrbEeWrhB4P3QBsH7tey117PjLZnDbLiQEKjQ/fNJTjuq4HSqgFA+UNSwZT8D7dxxbnuSBMsa1lrWzKlQg==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-annotate-as-pure@7.25.9':
     resolution: {integrity: sha512-gv7320KBUFJz1RnylIg5WWYPRXKZ884AGkYpgpWW02TH66Dl+HaC1t1CKd0z3R4b6hdYEcmrNZHUmfCP+1u3/g==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-annotate-as-pure@7.27.3':
+    resolution: {integrity: sha512-fXSwMQqitTGeHLBC08Eq5yXz2m37E4pJX1qAU1+2cNedz/ifv/bVXft90VeSav5nFO61EcNgwr0aJxbyPaWBPg==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-compilation-targets@7.25.2':
     resolution: {integrity: sha512-U2U5LsSaZ7TAt3cfaymQ8WHh0pxvdHoEk6HVpaexxixjyEquMh0L0YNJNM6CTGKMXV1iksi0iZkGw4AcFkPaaw==}
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@@ -2733,20 +3056,53 @@ packages:
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     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-compilation-targets@7.27.2':
+    resolution: {integrity: sha512-2+1thGUUWWjLTYTHZWK1n8Yga0ijBz1XAhUXcKy81rd5g6yh7hGqMp45v7cadSbEHc9G3OTv45SyneRN3ps4DQ==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-create-class-features-plugin@7.25.9':
     resolution: {integrity: sha512-UTZQMvt0d/rSz6KI+qdu7GQze5TIajwTS++GUozlw8VBJDEOAqSXwm1WvmYEZwqdqSGQshRocPDqrt4HBZB3fQ==}
     engines: {node: '>=6.9.0'}
     peerDependencies:
       '@babel/core': ^7.0.0
 
+  '@babel/helper-create-class-features-plugin@7.27.1':
+    resolution: {integrity: sha512-QwGAmuvM17btKU5VqXfb+Giw4JcN0hjuufz3DYnpeVDvZLAObloM77bhMXiqry3Iio+Ai4phVRDwl6WU10+r5A==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
+  '@babel/helper-create-regexp-features-plugin@7.27.1':
+    resolution: {integrity: sha512-uVDC72XVf8UbrH5qQTc18Agb8emwjTiZrQE11Nv3CuBEZmVvTwwE9CBUEvHku06gQCAyYf8Nv6ja1IN+6LMbxQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
+  '@babel/helper-define-polyfill-provider@0.6.5':
+    resolution: {integrity: sha512-uJnGFcPsWQK8fvjgGP5LZUZZsYGIoPeRjSF5PGwrelYgq7Q15/Ft9NGFp1zglwgIv//W0uG4BevRuSJRyylZPg==}
+    peerDependencies:
+      '@babel/core': ^7.4.0 || ^8.0.0-0 <8.0.0
+
+  '@babel/helper-globals@7.28.0':
+    resolution: {integrity: sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-member-expression-to-functions@7.25.9':
     resolution: {integrity: sha512-wbfdZ9w5vk0C0oyHqAJbc62+vet5prjj01jjJ8sKn3j9h3MQQlflEdXYvuqRWjHnM12coDEqiC1IRCi0U/EKwQ==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-member-expression-to-functions@7.27.1':
+    resolution: {integrity: sha512-E5chM8eWjTp/aNoVpcbfM7mLxu9XGLWYise2eBKGQomAk/Mb4XoxyqXTZbuTohbsl8EKqdlMhnDI2CCLfcs9wA==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-module-imports@7.25.9':
     resolution: {integrity: sha512-tnUA4RsrmflIM6W6RFTLFSXITtl0wKjgpnLgXyowocVPrbYrLUXSBXDgTs8BlbmIzIdlBySRQjINYs2BAkiLtw==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-module-imports@7.27.1':
+    resolution: {integrity: sha512-0gSFWUPNXNopqtIPQvlD5WgXYI5GY2kP2cCvoT8kczjbfcfuIljTbcWrulD1CIPIX2gt1wghbDy08yE1p+/r3w==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-module-transforms@7.25.2':
     resolution: {integrity: sha512-BjyRAbix6j/wv83ftcVJmBt72QtHI56C7JXZoG2xATiLpmoC7dpd8WnkikExHDVPpi/3qCmO6WY1EaXOluiecQ==}
     engines: {node: '>=6.9.0'}
@@ -2759,20 +3115,46 @@ packages:
     peerDependencies:
       '@babel/core': ^7.0.0
 
+  '@babel/helper-module-transforms@7.27.3':
+    resolution: {integrity: sha512-dSOvYwvyLsWBeIRyOeHXp5vPj5l1I011r52FM1+r1jCERv+aFXYk4whgQccYEGYxK2H3ZAIA8nuPkQ0HaUo3qg==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
   '@babel/helper-optimise-call-expression@7.25.9':
     resolution: {integrity: sha512-FIpuNaz5ow8VyrYcnXQTDRGvV6tTjkNtCK/RYNDXGSLlUD6cBuQTSw43CShGxjvfBTfcUA/r6UhUCbtYqkhcuQ==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-optimise-call-expression@7.27.1':
+    resolution: {integrity: sha512-URMGH08NzYFhubNSGJrpUEphGKQwMQYBySzat5cAByY1/YgIRkULnIy3tAMeszlL/so2HbeilYloUmSpd7GdVw==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-plugin-utils@7.25.9':
     resolution: {integrity: sha512-kSMlyUVdWe25rEsRGviIgOWnoT/nfABVWlqt9N19/dIPWViAOW2s9wznP5tURbs/IDuNk4gPy3YdYRgH3uxhBw==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-plugin-utils@7.27.1':
+    resolution: {integrity: sha512-1gn1Up5YXka3YYAHGKpbideQ5Yjf1tDa9qYcgysz+cNCXukyLl6DjPXhD3VRwSb8c0J9tA4b2+rHEZtc6R0tlw==}
+    engines: {node: '>=6.9.0'}
+
+  '@babel/helper-remap-async-to-generator@7.27.1':
+    resolution: {integrity: sha512-7fiA521aVw8lSPeI4ZOD3vRFkoqkJcS+z4hFo82bFSH/2tNd6eJ5qCVMS5OzDmZh/kaHQeBaeyxK6wljcPtveA==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
   '@babel/helper-replace-supers@7.25.9':
     resolution: {integrity: sha512-IiDqTOTBQy0sWyeXyGSC5TBJpGFXBkRynjBeXsvbhQFKj2viwJC76Epz35YLU1fpe/Am6Vppb7W7zM4fPQzLsQ==}
     engines: {node: '>=6.9.0'}
     peerDependencies:
       '@babel/core': ^7.0.0
 
+  '@babel/helper-replace-supers@7.27.1':
+    resolution: {integrity: sha512-7EHz6qDZc8RYS5ElPoShMheWvEgERonFCs7IAonWLLUTXW59DP14bCZt89/GKyreYn8g3S83m21FelHKbeDCKA==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
   '@babel/helper-simple-access@7.25.9':
     resolution: {integrity: sha512-c6WHXuiaRsJTyHYLJV75t9IqsmTbItYfdj99PnzYGQZkYKvan5/2jKJ7gu31J3/BJ/A18grImSPModuyG/Eo0Q==}
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@@ -2781,6 +3163,10 @@ packages:
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     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-skip-transparent-expression-wrappers@7.27.1':
+    resolution: {integrity: sha512-Tub4ZKEXqbPjXgWLl2+3JpQAYBJ8+ikpQ2Ocj/q/r0LwE3UhENh7EUabyHjz2kCEsrRY83ew2DQdHluuiDQFzg==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-split-export-declaration@7.24.7':
     resolution: {integrity: sha512-oy5V7pD+UvfkEATUKvIjvIAH/xCzfsFVw7ygW2SI6NClZzquT+mwdTfgfdbUiceh6iQO0CHtCPsyze/MZ2YbAA==}
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@@ -2789,14 +3175,30 @@ packages:
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     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-string-parser@7.27.1':
+    resolution: {integrity: sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==}
+    engines: {node: '>=6.9.0'}
+
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     resolution: {integrity: sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-validator-identifier@7.27.1':
+    resolution: {integrity: sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/helper-validator-option@7.25.9':
     resolution: {integrity: sha512-e/zv1co8pp55dNdEcCynfj9X7nyUKUXoUEwfXqaZt0omVOmDe9oOTdKStH4GmAw6zxMFs50ZayuMfHDKlO7Tfw==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/helper-validator-option@7.27.1':
+    resolution: {integrity: sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg==}
+    engines: {node: '>=6.9.0'}
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     engines: {node: '>=6.9.0'}
     peerDependencies:
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+    engines: {node: '>=6.9.0'}
+    peerDependencies:
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+
+  '@babel/plugin-transform-parameters@7.27.7':
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+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
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     resolution: {integrity: sha512-D/JUozNpQLAPUVusvqMxyvjzllRaF8/nSrP1s2YGQT/W4LHK4xxsMcHjhOGTS01mp9Hda8nswb+FblLdJornQw==}
     engines: {node: '>=6.9.0'}
     peerDependencies:
       '@babel/core': ^7.0.0-0
 
+  '@babel/plugin-transform-private-property-in-object@7.27.1':
+    resolution: {integrity: sha512-5J+IhqTi1XPa0DXF83jYOaARrX+41gOewWbkPyjMNRDqgOCqdffGh8L3f/Ek5utaEBZExjSAzcyjmV9SSAWObQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-property-literals@7.27.1':
+    resolution: {integrity: sha512-oThy3BCuCha8kDZ8ZkgOg2exvPYUlprMukKQXI1r1pJ47NCvxfkEy8vK+r/hT9nF0Aa4H1WUPZZjHTFtAhGfmQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
   '@babel/plugin-transform-react-jsx-self@7.25.9':
     resolution: {integrity: sha512-y8quW6p0WHkEhmErnfe58r7x0A70uKphQm8Sp8cV7tjNQwK56sNVK0M73LK3WuYmsuyrftut4xAkjjgU0twaMg==}
     engines: {node: '>=6.9.0'}
@@ -2971,18 +3658,107 @@ packages:
     peerDependencies:
       '@babel/core': ^7.0.0-0
 
+  '@babel/plugin-transform-regenerator@7.28.0':
+    resolution: {integrity: sha512-LOAozRVbqxEVjSKfhGnuLoE4Kz4Oc5UJzuvFUhSsQzdCdaAQu06mG8zDv2GFSerM62nImUZ7K92vxnQcLSDlCQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-regexp-modifiers@7.27.1':
+    resolution: {integrity: sha512-TtEciroaiODtXvLZv4rmfMhkCv8jx3wgKpL68PuiPh2M4fvz5jhsA7697N1gMvkvr/JTF13DrFYyEbY9U7cVPA==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
+  '@babel/plugin-transform-reserved-words@7.27.1':
+    resolution: {integrity: sha512-V2ABPHIJX4kC7HegLkYoDpfg9PVmuWy/i6vUM5eGK22bx4YVFD3M5F0QQnWQoDs6AGsUWTVOopBiMFQgHaSkVw==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-runtime@7.26.10':
+    resolution: {integrity: sha512-NWaL2qG6HRpONTnj4JvDU6th4jYeZOJgu3QhmFTCihib0ermtOJqktA5BduGm3suhhVe9EMP9c9+mfJ/I9slqw==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-shorthand-properties@7.27.1':
+    resolution: {integrity: sha512-N/wH1vcn4oYawbJ13Y/FxcQrWk63jhfNa7jef0ih7PHSIHX2LB7GWE1rkPrOnka9kwMxb6hMl19p7lidA+EHmQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-spread@7.27.1':
+    resolution: {integrity: sha512-kpb3HUqaILBJcRFVhFUs6Trdd4mkrzcGXss+6/mxUd273PfbWqSDHRzMT2234gIg2QYfAjvXLSquP1xECSg09Q==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-sticky-regex@7.27.1':
+    resolution: {integrity: sha512-lhInBO5bi/Kowe2/aLdBAawijx+q1pQzicSgnkB6dUPc1+RC8QmJHKf2OjvU+NZWitguJHEaEmbV6VWEouT58g==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-template-literals@7.27.1':
+    resolution: {integrity: sha512-fBJKiV7F2DxZUkg5EtHKXQdbsbURW3DZKQUWphDum0uRP6eHGGa/He9mc0mypL680pb+e/lDIthRohlv8NCHkg==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-typeof-symbol@7.27.1':
+    resolution: {integrity: sha512-RiSILC+nRJM7FY5srIyc4/fGIwUhyDuuBSdWn4y6yT6gm652DpCHZjIipgn6B7MQ1ITOUnAKWixEUjQRIBIcLw==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
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     engines: {node: '>=6.9.0'}
     peerDependencies:
       '@babel/core': ^7.0.0-0
 
+  '@babel/plugin-transform-unicode-escapes@7.27.1':
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+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-unicode-property-regex@7.27.1':
+    resolution: {integrity: sha512-uW20S39PnaTImxp39O5qFlHLS9LJEmANjMG7SxIhap8rCHqu0Ik+tLEPX5DKmHn6CsWQ7j3lix2tFOa5YtL12Q==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-unicode-regex@7.27.1':
+    resolution: {integrity: sha512-xvINq24TRojDuyt6JGtHmkVkrfVV3FPT16uytxImLeBZqW3/H52yN+kM1MGuyPkIQxrzKwPHs5U/MP3qKyzkGw==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
+  '@babel/plugin-transform-unicode-sets-regex@7.27.1':
+    resolution: {integrity: sha512-EtkOujbc4cgvb0mlpQefi4NTPBzhSIevblFevACNLUspmrALgmEBdL/XfnyyITfd8fKBZrZys92zOWcik7j9Tw==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0
+
+  '@babel/preset-env@7.26.9':
+    resolution: {integrity: sha512-vX3qPGE8sEKEAZCWk05k3cpTAE3/nOYca++JA+Rd0z2NCNzabmYvEiSShKzm10zdquOIAVXsy2Ei/DTW34KlKQ==}
+    engines: {node: '>=6.9.0'}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0
+
   '@babel/preset-flow@7.25.9':
     resolution: {integrity: sha512-EASHsAhE+SSlEzJ4bzfusnXSHiU+JfAYzj+jbw2vgQKgq5HrUr8qs+vgtiEL5dOH6sEweI+PNt2D7AqrDSHyqQ==}
     engines: {node: '>=6.9.0'}
     peerDependencies:
       '@babel/core': ^7.0.0-0
 
+  '@babel/preset-modules@0.1.6-no-external-plugins':
+    resolution: {integrity: sha512-HrcgcIESLm9aIR842yhJ5RWan/gebQUJ6E/E5+rf0y9o6oj7w0Br+sWuL6kEQ/o/AdfvR1Je9jG18/gnpwjEyA==}
+    peerDependencies:
+      '@babel/core': ^7.0.0-0 || ^8.0.0-0 <8.0.0
+
   '@babel/preset-typescript@7.26.0':
     resolution: {integrity: sha512-NMk1IGZ5I/oHhoXEElcm+xUnL/szL6xflkFZmoEU9xj1qSJXpiS7rsspYo92B4DRCDvZn2erT5LdsCeXAKNCkg==}
     engines: {node: '>=6.9.0'}
@@ -2999,6 +3775,10 @@ packages:
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     engines: {node: '>=6.9.0'}
 
+  '@babel/runtime@7.26.10':
+    resolution: {integrity: sha512-2WJMeRQPHKSPemqk/awGrAiuFfzBmOIPXKizAsVhWH9YJqLZ0H+HS4c8loHGgW6utJ3E/ejXQUsiGaQy2NZ9Fw==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/standalone@7.26.2':
     resolution: {integrity: sha512-i2VbegsRfwa9yq3xmfDX3tG2yh9K0cCqwpSyVG2nPxifh0EOnucAZUeO/g4lW2Zfg03aPJNtPfxQbDHzXc7H+w==}
     engines: {node: '>=6.9.0'}
@@ -3011,14 +3791,26 @@ packages:
     resolution: {integrity: sha512-9DGttpmPvIxBb/2uwpVo3dqJ+O6RooAFOS+lB+xDqoE2PVCE8nfoHMdZLpfCQRLwvohzXISPZcgxt80xLfsuwg==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/template@7.27.2':
+    resolution: {integrity: sha512-LPDZ85aEJyYSd18/DkjNh4/y1ntkE5KwUHWTiqgRxruuZL2F1yuHligVHLvcHY2vMHXttKFpJn6LwfI7cw7ODw==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/traverse@7.25.9':
     resolution: {integrity: sha512-ZCuvfwOwlz/bawvAuvcj8rrithP2/N55Tzz342AkTvq4qaWbGfmCk/tKhNaV2cthijKrPAA8SRJV5WWe7IBMJw==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/traverse@7.28.0':
+    resolution: {integrity: sha512-mGe7UK5wWyh0bKRfupsUchrQGqvDbZDbKJw+kcRGSmdHVYrv+ltd0pnpDTVpiTqnaBru9iEvA8pz8W46v0Amwg==}
+    engines: {node: '>=6.9.0'}
+
   '@babel/types@7.26.0':
     resolution: {integrity: sha512-Z/yiTPj+lDVnF7lWeKCIJzaIkI0vYO87dMpZ4bg4TDrFe4XXLFWL1TbXU27gBP3QccxV9mZICCrnjnYlJjXHOA==}
     engines: {node: '>=6.9.0'}
 
+  '@babel/types@7.28.0':
+    resolution: {integrity: sha512-jYnje+JyZG5YThjHiF28oT4SIZLnYOcSBb6+SDaFIyzDVSkXQmQQYclJ2R+YxcdmK0AX6x1E5OQNtuh3jHDrUg==}
+    engines: {node: '>=6.9.0'}
+
   '@bcoe/v8-coverage@0.2.3':
     resolution: {integrity: sha512-0hYQ8SB4Db5zvZB4axdMHGwEaQjkZzFjQiN9LVYvIFB2nSUHW9tYpxWriPrWDASIxiaXax83REcLxuSdnGPZtw==}
 
@@ -3138,6 +3930,10 @@ packages:
     peerDependencies:
       postcss-selector-parser: ^7.0.0
 
+  '@discoveryjs/json-ext@0.6.3':
+    resolution: {integrity: sha512-4B4OijXeVNOPZlYA2oEwWOTkzyltLao+xbotHQeqN++Rv27Y6s818+n2Qkp8q+Fxhn0t/5lA5X1Mxktud8eayQ==}
+    engines: {node: '>=14.17.0'}
+
   '@edge-runtime/primitives@6.0.0':
     resolution: {integrity: sha512-FqoxaBT+prPBHBwE1WXS1ocnu/VLTQyZ6NMUBAdbP7N2hsFTTxMC/jMu2D/8GAlMQfxeuppcPuCUk/HO3fpIvA==}
     engines: {node: '>=18'}
@@ -3188,6 +3984,12 @@ packages:
     cpu: [ppc64]
     os: [aix]
 
+  '@esbuild/aix-ppc64@0.25.4':
+    resolution: {integrity: sha512-1VCICWypeQKhVbE9oW/sJaAmjLxhVqacdkvPLEjwlttjfwENRSClS8EjBz0KzRyFSCPDIkuXW34Je/vk7zdB7Q==}
+    engines: {node: '>=18'}
+    cpu: [ppc64]
+    os: [aix]
+
   '@esbuild/android-arm64@0.18.20':
     resolution: {integrity: sha512-Nz4rJcchGDtENV0eMKUNa6L12zz2zBDXuhj/Vjh18zGqB44Bi7MBMSXjgunJgjRhCmKOjnPuZp4Mb6OKqtMHLQ==}
     engines: {node: '>=12'}
@@ -3230,6 +4032,12 @@ packages:
     cpu: [arm64]
     os: [android]
 
+  '@esbuild/android-arm64@0.25.4':
+    resolution: {integrity: sha512-bBy69pgfhMGtCnwpC/x5QhfxAz/cBgQ9enbtwjf6V9lnPI/hMyT9iWpR1arm0l3kttTr4L0KSLpKmLp/ilKS9A==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [android]
+
   '@esbuild/android-arm@0.18.20':
     resolution: {integrity: sha512-fyi7TDI/ijKKNZTUJAQqiG5T7YjJXgnzkURqmGj13C6dCqckZBLdl4h7bkhHt/t0WP+zO9/zwroDvANaOqO5Sw==}
     engines: {node: '>=12'}
@@ -3272,6 +4080,12 @@ packages:
     cpu: [arm]
     os: [android]
 
+  '@esbuild/android-arm@0.25.4':
+    resolution: {integrity: sha512-QNdQEps7DfFwE3hXiU4BZeOV68HHzYwGd0Nthhd3uCkkEKK7/R6MTgM0P7H7FAs5pU/DIWsviMmEGxEoxIZ+ZQ==}
+    engines: {node: '>=18'}
+    cpu: [arm]
+    os: [android]
+
   '@esbuild/android-x64@0.18.20':
     resolution: {integrity: sha512-8GDdlePJA8D6zlZYJV/jnrRAi6rOiNaCC/JclcXpB+KIuvfBN4owLtgzY2bsxnx666XjJx2kDPUmnTtR8qKQUg==}
     engines: {node: '>=12'}
@@ -3314,6 +4128,12 @@ packages:
     cpu: [x64]
     os: [android]
 
+  '@esbuild/android-x64@0.25.4':
+    resolution: {integrity: sha512-TVhdVtQIFuVpIIR282btcGC2oGQoSfZfmBdTip2anCaVYcqWlZXGcdcKIUklfX2wj0JklNYgz39OBqh2cqXvcQ==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [android]
+
   '@esbuild/darwin-arm64@0.18.20':
     resolution: {integrity: sha512-bxRHW5kHU38zS2lPTPOyuyTm+S+eobPUnTNkdJEfAddYgEcll4xkT8DB9d2008DtTbl7uJag2HuE5NZAZgnNEA==}
     engines: {node: '>=12'}
@@ -3356,6 +4176,12 @@ packages:
     cpu: [arm64]
     os: [darwin]
 
+  '@esbuild/darwin-arm64@0.25.4':
+    resolution: {integrity: sha512-Y1giCfM4nlHDWEfSckMzeWNdQS31BQGs9/rouw6Ub91tkK79aIMTH3q9xHvzH8d0wDru5Ci0kWB8b3up/nl16g==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [darwin]
+
   '@esbuild/darwin-x64@0.18.20':
     resolution: {integrity: sha512-pc5gxlMDxzm513qPGbCbDukOdsGtKhfxD1zJKXjCCcU7ju50O7MeAZ8c4krSJcOIJGFR+qx21yMMVYwiQvyTyQ==}
     engines: {node: '>=12'}
@@ -3398,6 +4224,12 @@ packages:
     cpu: [x64]
     os: [darwin]
 
+  '@esbuild/darwin-x64@0.25.4':
+    resolution: {integrity: sha512-CJsry8ZGM5VFVeyUYB3cdKpd/H69PYez4eJh1W/t38vzutdjEjtP7hB6eLKBoOdxcAlCtEYHzQ/PJ/oU9I4u0A==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [darwin]
+
   '@esbuild/freebsd-arm64@0.18.20':
     resolution: {integrity: sha512-yqDQHy4QHevpMAaxhhIwYPMv1NECwOvIpGCZkECn8w2WFHXjEwrBn3CeNIYsibZ/iZEUemj++M26W3cNR5h+Tw==}
     engines: {node: '>=12'}
@@ -3440,6 +4272,12 @@ packages:
     cpu: [arm64]
     os: [freebsd]
 
+  '@esbuild/freebsd-arm64@0.25.4':
+    resolution: {integrity: sha512-yYq+39NlTRzU2XmoPW4l5Ifpl9fqSk0nAJYM/V/WUGPEFfek1epLHJIkTQM6bBs1swApjO5nWgvr843g6TjxuQ==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [freebsd]
+
   '@esbuild/freebsd-x64@0.18.20':
     resolution: {integrity: sha512-tgWRPPuQsd3RmBZwarGVHZQvtzfEBOreNuxEMKFcd5DaDn2PbBxfwLcj4+aenoh7ctXcbXmOQIn8HI6mCSw5MQ==}
     engines: {node: '>=12'}
@@ -3482,6 +4320,12 @@ packages:
     cpu: [x64]
     os: [freebsd]
 
+  '@esbuild/freebsd-x64@0.25.4':
+    resolution: {integrity: sha512-0FgvOJ6UUMflsHSPLzdfDnnBBVoCDtBTVyn/MrWloUNvq/5SFmh13l3dvgRPkDihRxb77Y17MbqbCAa2strMQQ==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [freebsd]
+
   '@esbuild/linux-arm64@0.18.20':
     resolution: {integrity: sha512-2YbscF+UL7SQAVIpnWvYwM+3LskyDmPhe31pE7/aoTMFKKzIc9lLbyGUpmmb8a8AixOL61sQ/mFh3jEjHYFvdA==}
     engines: {node: '>=12'}
@@ -3524,6 +4368,12 @@ packages:
     cpu: [arm64]
     os: [linux]
 
+  '@esbuild/linux-arm64@0.25.4':
+    resolution: {integrity: sha512-+89UsQTfXdmjIvZS6nUnOOLoXnkUTB9hR5QAeLrQdzOSWZvNSAXAtcRDHWtqAUtAmv7ZM1WPOOeSxDzzzMogiQ==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [linux]
+
   '@esbuild/linux-arm@0.18.20':
     resolution: {integrity: sha512-/5bHkMWnq1EgKr1V+Ybz3s1hWXok7mDFUMQ4cG10AfW3wL02PSZi5kFpYKrptDsgb2WAJIvRcDm+qIvXf/apvg==}
     engines: {node: '>=12'}
@@ -3566,6 +4416,12 @@ packages:
     cpu: [arm]
     os: [linux]
 
+  '@esbuild/linux-arm@0.25.4':
+    resolution: {integrity: sha512-kro4c0P85GMfFYqW4TWOpvmF8rFShbWGnrLqlzp4X1TNWjRY3JMYUfDCtOxPKOIY8B0WC8HN51hGP4I4hz4AaQ==}
+    engines: {node: '>=18'}
+    cpu: [arm]
+    os: [linux]
+
   '@esbuild/linux-ia32@0.18.20':
     resolution: {integrity: sha512-P4etWwq6IsReT0E1KHU40bOnzMHoH73aXp96Fs8TIT6z9Hu8G6+0SHSw9i2isWrD2nbx2qo5yUqACgdfVGx7TA==}
     engines: {node: '>=12'}
@@ -3608,6 +4464,12 @@ packages:
     cpu: [ia32]
     os: [linux]
 
+  '@esbuild/linux-ia32@0.25.4':
+    resolution: {integrity: sha512-yTEjoapy8UP3rv8dB0ip3AfMpRbyhSN3+hY8mo/i4QXFeDxmiYbEKp3ZRjBKcOP862Ua4b1PDfwlvbuwY7hIGQ==}
+    engines: {node: '>=18'}
+    cpu: [ia32]
+    os: [linux]
+
   '@esbuild/linux-loong64@0.18.20':
     resolution: {integrity: sha512-nXW8nqBTrOpDLPgPY9uV+/1DjxoQ7DoB2N8eocyq8I9XuqJ7BiAMDMf9n1xZM9TgW0J8zrquIb/A7s3BJv7rjg==}
     engines: {node: '>=12'}
@@ -3650,6 +4512,12 @@ packages:
     cpu: [loong64]
     os: [linux]
 
+  '@esbuild/linux-loong64@0.25.4':
+    resolution: {integrity: sha512-NeqqYkrcGzFwi6CGRGNMOjWGGSYOpqwCjS9fvaUlX5s3zwOtn1qwg1s2iE2svBe4Q/YOG1q6875lcAoQK/F4VA==}
+    engines: {node: '>=18'}
+    cpu: [loong64]
+    os: [linux]
+
   '@esbuild/linux-mips64el@0.18.20':
     resolution: {integrity: sha512-d5NeaXZcHp8PzYy5VnXV3VSd2D328Zb+9dEq5HE6bw6+N86JVPExrA6O68OPwobntbNJ0pzCpUFZTo3w0GyetQ==}
     engines: {node: '>=12'}
@@ -3692,6 +4560,12 @@ packages:
     cpu: [mips64el]
     os: [linux]
 
+  '@esbuild/linux-mips64el@0.25.4':
+    resolution: {integrity: sha512-IcvTlF9dtLrfL/M8WgNI/qJYBENP3ekgsHbYUIzEzq5XJzzVEV/fXY9WFPfEEXmu3ck2qJP8LG/p3Q8f7Zc2Xg==}
+    engines: {node: '>=18'}
+    cpu: [mips64el]
+    os: [linux]
+
   '@esbuild/linux-ppc64@0.18.20':
     resolution: {integrity: sha512-WHPyeScRNcmANnLQkq6AfyXRFr5D6N2sKgkFo2FqguP44Nw2eyDlbTdZwd9GYk98DZG9QItIiTlFLHJHjxP3FA==}
     engines: {node: '>=12'}
@@ -3734,6 +4608,12 @@ packages:
     cpu: [ppc64]
     os: [linux]
 
+  '@esbuild/linux-ppc64@0.25.4':
+    resolution: {integrity: sha512-HOy0aLTJTVtoTeGZh4HSXaO6M95qu4k5lJcH4gxv56iaycfz1S8GO/5Jh6X4Y1YiI0h7cRyLi+HixMR+88swag==}
+    engines: {node: '>=18'}
+    cpu: [ppc64]
+    os: [linux]
+
   '@esbuild/linux-riscv64@0.18.20':
     resolution: {integrity: sha512-WSxo6h5ecI5XH34KC7w5veNnKkju3zBRLEQNY7mv5mtBmrP/MjNBCAlsM2u5hDBlS3NGcTQpoBvRzqBcRtpq1A==}
     engines: {node: '>=12'}
@@ -3776,6 +4656,12 @@ packages:
     cpu: [riscv64]
     os: [linux]
 
+  '@esbuild/linux-riscv64@0.25.4':
+    resolution: {integrity: sha512-i8JUDAufpz9jOzo4yIShCTcXzS07vEgWzyX3NH2G7LEFVgrLEhjwL3ajFE4fZI3I4ZgiM7JH3GQ7ReObROvSUA==}
+    engines: {node: '>=18'}
+    cpu: [riscv64]
+    os: [linux]
+
   '@esbuild/linux-s390x@0.18.20':
     resolution: {integrity: sha512-+8231GMs3mAEth6Ja1iK0a1sQ3ohfcpzpRLH8uuc5/KVDFneH6jtAJLFGafpzpMRO6DzJ6AvXKze9LfFMrIHVQ==}
     engines: {node: '>=12'}
@@ -3818,6 +4704,12 @@ packages:
     cpu: [s390x]
     os: [linux]
 
+  '@esbuild/linux-s390x@0.25.4':
+    resolution: {integrity: sha512-jFnu+6UbLlzIjPQpWCNh5QtrcNfMLjgIavnwPQAfoGx4q17ocOU9MsQ2QVvFxwQoWpZT8DvTLooTvmOQXkO51g==}
+    engines: {node: '>=18'}
+    cpu: [s390x]
+    os: [linux]
+
   '@esbuild/linux-x64@0.18.20':
     resolution: {integrity: sha512-UYqiqemphJcNsFEskc73jQ7B9jgwjWrSayxawS6UVFZGWrAAtkzjxSqnoclCXxWtfwLdzU+vTpcNYhpn43uP1w==}
     engines: {node: '>=12'}
@@ -3860,12 +4752,24 @@ packages:
     cpu: [x64]
     os: [linux]
 
+  '@esbuild/linux-x64@0.25.4':
+    resolution: {integrity: sha512-6e0cvXwzOnVWJHq+mskP8DNSrKBr1bULBvnFLpc1KY+d+irZSgZ02TGse5FsafKS5jg2e4pbvK6TPXaF/A6+CA==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [linux]
+
   '@esbuild/netbsd-arm64@0.24.2':
     resolution: {integrity: sha512-wuLK/VztRRpMt9zyHSazyCVdCXlpHkKm34WUyinD2lzK07FAHTq0KQvZZlXikNWkDGoT6x3TD51jKQ7gMVpopw==}
     engines: {node: '>=18'}
     cpu: [arm64]
     os: [netbsd]
 
+  '@esbuild/netbsd-arm64@0.25.4':
+    resolution: {integrity: sha512-vUnkBYxZW4hL/ie91hSqaSNjulOnYXE1VSLusnvHg2u3jewJBz3YzB9+oCw8DABeVqZGg94t9tyZFoHma8gWZQ==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [netbsd]
+
   '@esbuild/netbsd-x64@0.18.20':
     resolution: {integrity: sha512-iO1c++VP6xUBUmltHZoMtCUdPlnPGdBom6IrO4gyKPFFVBKioIImVooR5I83nTew5UOYrk3gIJhbZh8X44y06A==}
     engines: {node: '>=12'}
@@ -3908,6 +4812,12 @@ packages:
     cpu: [x64]
     os: [netbsd]
 
+  '@esbuild/netbsd-x64@0.25.4':
+    resolution: {integrity: sha512-XAg8pIQn5CzhOB8odIcAm42QsOfa98SBeKUdo4xa8OvX8LbMZqEtgeWE9P/Wxt7MlG2QqvjGths+nq48TrUiKw==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [netbsd]
+
   '@esbuild/openbsd-arm64@0.23.0':
     resolution: {integrity: sha512-suXjq53gERueVWu0OKxzWqk7NxiUWSUlrxoZK7usiF50C6ipColGR5qie2496iKGYNLhDZkPxBI3erbnYkU0rQ==}
     engines: {node: '>=18'}
@@ -3932,6 +4842,12 @@ packages:
     cpu: [arm64]
     os: [openbsd]
 
+  '@esbuild/openbsd-arm64@0.25.4':
+    resolution: {integrity: sha512-Ct2WcFEANlFDtp1nVAXSNBPDxyU+j7+tId//iHXU2f/lN5AmO4zLyhDcpR5Cz1r08mVxzt3Jpyt4PmXQ1O6+7A==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [openbsd]
+
   '@esbuild/openbsd-x64@0.18.20':
     resolution: {integrity: sha512-e5e4YSsuQfX4cxcygw/UCPIEP6wbIL+se3sxPdCiMbFLBWu0eiZOJ7WoD+ptCLrmjZBK1Wk7I6D/I3NglUGOxg==}
     engines: {node: '>=12'}
@@ -3974,6 +4890,12 @@ packages:
     cpu: [x64]
     os: [openbsd]
 
+  '@esbuild/openbsd-x64@0.25.4':
+    resolution: {integrity: sha512-xAGGhyOQ9Otm1Xu8NT1ifGLnA6M3sJxZ6ixylb+vIUVzvvd6GOALpwQrYrtlPouMqd/vSbgehz6HaVk4+7Afhw==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [openbsd]
+
   '@esbuild/sunos-x64@0.18.20':
     resolution: {integrity: sha512-kDbFRFp0YpTQVVrqUd5FTYmWo45zGaXe0X8E1G/LKFC0v8x0vWrhOWSLITcCn63lmZIxfOMXtCfti/RxN/0wnQ==}
     engines: {node: '>=12'}
@@ -4016,6 +4938,12 @@ packages:
     cpu: [x64]
     os: [sunos]
 
+  '@esbuild/sunos-x64@0.25.4':
+    resolution: {integrity: sha512-Mw+tzy4pp6wZEK0+Lwr76pWLjrtjmJyUB23tHKqEDP74R3q95luY/bXqXZeYl4NYlvwOqoRKlInQialgCKy67Q==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [sunos]
+
   '@esbuild/win32-arm64@0.18.20':
     resolution: {integrity: sha512-ddYFR6ItYgoaq4v4JmQQaAI5s7npztfV4Ag6NrhiaW0RrnOXqBkgwZLofVTlq1daVTQNhtI5oieTvkRPfZrePg==}
     engines: {node: '>=12'}
@@ -4058,6 +4986,12 @@ packages:
     cpu: [arm64]
     os: [win32]
 
+  '@esbuild/win32-arm64@0.25.4':
+    resolution: {integrity: sha512-AVUP428VQTSddguz9dO9ngb+E5aScyg7nOeJDrF1HPYu555gmza3bDGMPhmVXL8svDSoqPCsCPjb265yG/kLKQ==}
+    engines: {node: '>=18'}
+    cpu: [arm64]
+    os: [win32]
+
   '@esbuild/win32-ia32@0.18.20':
     resolution: {integrity: sha512-Wv7QBi3ID/rROT08SABTS7eV4hX26sVduqDOTe1MvGMjNd3EjOz4b7zeexIR62GTIEKrfJXKL9LFxTYgkyeu7g==}
     engines: {node: '>=12'}
@@ -4100,6 +5034,12 @@ packages:
     cpu: [ia32]
     os: [win32]
 
+  '@esbuild/win32-ia32@0.25.4':
+    resolution: {integrity: sha512-i1sW+1i+oWvQzSgfRcxxG2k4I9n3O9NRqy8U+uugaT2Dy7kLO9Y7wI72haOahxceMX8hZAzgGou1FhndRldxRg==}
+    engines: {node: '>=18'}
+    cpu: [ia32]
+    os: [win32]
+
   '@esbuild/win32-x64@0.18.20':
     resolution: {integrity: sha512-kTdfRcSiDfQca/y9QIkng02avJ+NCaQvrMejlsB3RRv5sE9rRoeBPISaZpKxHELzRxZyLvNts1P27W3wV+8geQ==}
     engines: {node: '>=12'}
@@ -4142,6 +5082,12 @@ packages:
     cpu: [x64]
     os: [win32]
 
+  '@esbuild/win32-x64@0.25.4':
+    resolution: {integrity: sha512-nOT2vZNw6hJ+z43oP1SPea/G/6AbN6X+bGNhNuq8NtRHy4wsMhw765IKLNmnjek7GvjWBYQ8Q5VBoYTFg9y1UQ==}
+    engines: {node: '>=18'}
+    cpu: [x64]
+    os: [win32]
+
   '@eslint-community/eslint-utils@4.4.1':
     resolution: {integrity: sha512-s3O3waFUrMV8P/XaF/+ZTp1X9XBZW1a4B97ZnjQF2KYWaFD2A8KyFBsrsfSjEmjn3RGWAIuvlneuZm3CUK3jbA==}
     engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
@@ -4500,26 +5446,160 @@ packages:
     cpu: [x64]
     os: [win32]
 
+  '@inquirer/checkbox@4.1.9':
+    resolution: {integrity: sha512-DBJBkzI5Wx4jFaYm221LHvAhpKYkhVS0k9plqHwaHhofGNxvYB7J3Bz8w+bFJ05zaMb0sZNHo4KdmENQFlNTuQ==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
   '@inquirer/confirm@5.0.2':
     resolution: {integrity: sha512-KJLUHOaKnNCYzwVbryj3TNBxyZIrr56fR5N45v6K9IPrbT6B7DcudBMfylkV1A8PUdJE15mybkEQyp2/ZUpxUA==}
     engines: {node: '>=18'}
     peerDependencies:
       '@types/node': '>=18'
 
+  '@inquirer/confirm@5.1.13':
+    resolution: {integrity: sha512-EkCtvp67ICIVVzjsquUiVSd+V5HRGOGQfsqA4E4vMWhYnB7InUL0pa0TIWt1i+OfP16Gkds8CdIu6yGZwOM1Yw==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/confirm@5.1.6':
+    resolution: {integrity: sha512-6ZXYK3M1XmaVBZX6FCfChgtponnL0R6I7k8Nu+kaoNkT828FVZTcca1MqmWQipaW2oNREQl5AaPCUOOCVNdRMw==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
   '@inquirer/core@10.1.0':
     resolution: {integrity: sha512-I+ETk2AL+yAVbvuKx5AJpQmoaWhpiTFOg/UJb7ZkMAK4blmtG8ATh5ct+T/8xNld0CZG/2UhtkdMwpgvld92XQ==}
     engines: {node: '>=18'}
 
+  '@inquirer/core@10.1.14':
+    resolution: {integrity: sha512-Ma+ZpOJPewtIYl6HZHZckeX1STvDnHTCB2GVINNUlSEn2Am6LddWwfPkIGY0IUFVjUUrr/93XlBwTK6mfLjf0A==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/editor@4.2.14':
+    resolution: {integrity: sha512-yd2qtLl4QIIax9DTMZ1ZN2pFrrj+yL3kgIWxm34SS6uwCr0sIhsNyudUjAo5q3TqI03xx4SEBkUJqZuAInp9uA==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/expand@4.0.16':
+    resolution: {integrity: sha512-oiDqafWzMtofeJyyGkb1CTPaxUkjIcSxePHHQCfif8t3HV9pHcw1Kgdw3/uGpDvaFfeTluwQtWiqzPVjAqS3zA==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/figures@1.0.12':
+    resolution: {integrity: sha512-MJttijd8rMFcKJC8NYmprWr6hD3r9Gd9qUC0XwPNwoEPWSMVJwA2MlXxF+nhZZNMY+HXsWa+o7KY2emWYIn0jQ==}
+    engines: {node: '>=18'}
+
   '@inquirer/figures@1.0.8':
     resolution: {integrity: sha512-tKd+jsmhq21AP1LhexC0pPwsCxEhGgAkg28byjJAd+xhmIs8LUX8JbUc3vBf3PhLxWiB5EvyBE5X7JSPAqMAqg==}
     engines: {node: '>=18'}
 
+  '@inquirer/input@4.2.0':
+    resolution: {integrity: sha512-opqpHPB1NjAmDISi3uvZOTrjEEU5CWVu/HBkDby8t93+6UxYX0Z7Ps0Ltjm5sZiEbWenjubwUkivAEYQmy9xHw==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/number@3.0.16':
+    resolution: {integrity: sha512-kMrXAaKGavBEoBYUCgualbwA9jWUx2TjMA46ek+pEKy38+LFpL9QHlTd8PO2kWPUgI/KB+qi02o4y2rwXbzr3Q==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/password@4.0.16':
+    resolution: {integrity: sha512-g8BVNBj5Zeb5/Y3cSN+hDUL7CsIFDIuVxb9EPty3lkxBaYpjL5BNRKSYOF9yOLe+JOcKFd+TSVeADQ4iSY7rbg==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/prompts@7.3.2':
+    resolution: {integrity: sha512-G1ytyOoHh5BphmEBxSwALin3n1KGNYB6yImbICcRQdzXfOGbuJ9Jske/Of5Sebk339NSGGNfUshnzK8YWkTPsQ==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/rawlist@4.1.4':
+    resolution: {integrity: sha512-5GGvxVpXXMmfZNtvWw4IsHpR7RzqAR624xtkPd1NxxlV5M+pShMqzL4oRddRkg8rVEOK9fKdJp1jjVML2Lr7TQ==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/search@3.0.16':
+    resolution: {integrity: sha512-POCmXo+j97kTGU6aeRjsPyuCpQQfKcMXdeTMw708ZMtWrj5aykZvlUxH4Qgz3+Y1L/cAVZsSpA+UgZCu2GMOMg==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/select@4.2.4':
+    resolution: {integrity: sha512-unTppUcTjmnbl/q+h8XeQDhAqIOmwWYWNyiiP2e3orXrg6tOaa5DHXja9PChCSbChOsktyKgOieRZFnajzxoBg==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
+  '@inquirer/type@1.5.5':
+    resolution: {integrity: sha512-MzICLu4yS7V8AA61sANROZ9vT1H3ooca5dSmI1FjZkzq7o/koMsRfQSzRtFo+F3Ao4Sf1C0bpLKejpKB/+j6MA==}
+    engines: {node: '>=18'}
+
   '@inquirer/type@3.0.1':
     resolution: {integrity: sha512-+ksJMIy92sOAiAccGpcKZUc3bYO07cADnscIxHBknEm3uNts3movSmBofc1908BNy5edKscxYeAdaX1NXkHS6A==}
     engines: {node: '>=18'}
     peerDependencies:
       '@types/node': '>=18'
 
+  '@inquirer/type@3.0.7':
+    resolution: {integrity: sha512-PfunHQcjwnju84L+ycmcMKB/pTPIngjUJvfnRhKY6FKPuYXlM4aQCb/nIdTFR6BEhMjFvngzvng/vBAJMZpLSA==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      '@types/node': '>=18'
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+
   '@internationalized/date@3.7.0':
     resolution: {integrity: sha512-VJ5WS3fcVx0bejE/YHfbDKR/yawZgKqn/if+oEeLqNwBtPzVB06olkfcnojTmEMX+gTpH+FlQ69SHNitJ8/erQ==}
 
@@ -4938,6 +6018,9 @@ packages:
   '@jimp/utils@0.16.13':
     resolution: {integrity: sha512-VyCpkZzFTHXtKgVO35iKN0sYR10psGpV6SkcSeV4oF7eSYlR8Bl6aQLCzVeFjvESF7mxTmIiI3/XrMobVrtxDA==}
 
+  '@jridgewell/gen-mapping@0.3.12':
+    resolution: {integrity: sha512-OuLGC46TjB5BbN1dH8JULVVZY4WTdkF7tV9Ys6wLL1rubZnCMstOhNHueU5bLCrnRuDhKPDM4g6sw4Bel5Gzqg==}
+
   '@jridgewell/gen-mapping@0.3.8':
     resolution: {integrity: sha512-imAbBGkb+ebQyxKgzv5Hu2nmROxoDOXHh80evxdoXNOrvAnVx7zimzc1Oo5h9RlfV4vPXaE2iM5pOFbvOCClWA==}
     engines: {node: '>=6.0.0'}
@@ -4959,12 +6042,33 @@ packages:
   '@jridgewell/trace-mapping@0.3.25':
     resolution: {integrity: sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==}
 
+  '@jridgewell/trace-mapping@0.3.29':
+    resolution: {integrity: sha512-uw6guiW/gcAGPDhLmd77/6lW8QLeiV5RUTsAX46Db6oLhGaVj4lhnPwb184s1bkc8kdVg/+h988dro8GRDpmYQ==}
+
   '@jridgewell/trace-mapping@0.3.9':
     resolution: {integrity: sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==}
 
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+  '@jsonjoy.com/base64@1.1.2':
+    resolution: {integrity: sha512-q6XAnWQDIMA3+FTiOYajoYqySkO+JSat0ytXGSuRdq9uXE7o92gzuQwQM14xaCRlBLGq3v5miDGC4vkVTn54xA==}
+    engines: {node: '>=10.0'}
+    peerDependencies:
+      tslib: '2'
+
+  '@jsonjoy.com/json-pack@1.2.0':
+    resolution: {integrity: sha512-io1zEbbYcElht3tdlqEOFxZ0dMTYrHz9iMf0gqn1pPjZFTCgM5R4R5IMA20Chb2UPYYsxjzs8CgZ7Nb5n2K2rA==}
+    engines: {node: '>=10.0'}
+    peerDependencies:
+      tslib: '2'
+
+  '@jsonjoy.com/util@1.6.0':
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+    engines: {node: '>=10.0'}
+    peerDependencies:
+      tslib: '2'
+
   '@koa/router@12.0.1':
     resolution: {integrity: sha512-ribfPYfHb+Uw3b27Eiw6NPqjhIhTpVFzEWLwyc/1Xp+DCdwRRyIlAUODX+9bPARF6aQtUu1+/PHzdNvRzcs/+Q==}
     engines: {node: '>= 12'}
@@ -5273,10 +6377,49 @@ packages:
     resolution: {integrity: sha512-6bQOuYHTGYlkgPY/8M5WPq4nnXZpEysGzRopQCYjg2WLcEoIPUMMrXsAaNNdvU3BOeMrhin8izvpDPD165hX6Q==}
     engines: {node: '>=18'}
 
+  '@leichtgewicht/ip-codec@2.0.5':
+    resolution: {integrity: sha512-Vo+PSpZG2/fmgmiNzYK9qWRh8h/CHrwD0mo1h1DzL4yzHNSfWYujGTYsWGreD000gcgmZ7K4Ys6Tx9TxtsKdDw==}
+
+  '@listr2/prompt-adapter-inquirer@2.0.18':
+    resolution: {integrity: sha512-0hz44rAcrphyXcA8IS7EJ2SCoaBZD2u5goE8S/e+q/DL+dOGpqpcLidVOFeLG3VgML62SXmfRLAhWt0zL1oW4Q==}
+    engines: {node: '>=18.0.0'}
+    peerDependencies:
+      '@inquirer/prompts': '>= 3 < 8'
+
   '@ljharb/through@2.3.13':
     resolution: {integrity: sha512-/gKJun8NNiWGZJkGzI/Ragc53cOdcLNdzjLaIa+GEjguQs0ulsurx8WN0jijdK9yPqDvziX995sMRLyLt1uZMQ==}
     engines: {node: '>= 0.4'}
 
+  '@lmdb/lmdb-darwin-arm64@3.2.6':
+    resolution: {integrity: sha512-yF/ih9EJJZc72psFQbwnn8mExIWfTnzWJg+N02hnpXtDPETYLmQswIMBn7+V88lfCaFrMozJsUvcEQIkEPU0Gg==}
+    cpu: [arm64]
+    os: [darwin]
+
+  '@lmdb/lmdb-darwin-x64@3.2.6':
+    resolution: {integrity: sha512-5BbCumsFLbCi586Bb1lTWQFkekdQUw8/t8cy++Uq251cl3hbDIGEwD9HAwh8H6IS2F6QA9KdKmO136LmipRNkg==}
+    cpu: [x64]
+    os: [darwin]
+
+  '@lmdb/lmdb-linux-arm64@3.2.6':
+    resolution: {integrity: sha512-l5VmJamJ3nyMmeD1ANBQCQqy7do1ESaJQfKPSm2IG9/ADZryptTyCj8N6QaYgIWewqNUrcbdMkJajRQAt5Qjfg==}
+    cpu: [arm64]
+    os: [linux]
+
+  '@lmdb/lmdb-linux-arm@3.2.6':
+    resolution: {integrity: sha512-+6XgLpMb7HBoWxXj+bLbiiB4s0mRRcDPElnRS3LpWRzdYSe+gFk5MT/4RrVNqd2MESUDmb53NUXw1+BP69bjiQ==}
+    cpu: [arm]
+    os: [linux]
+
+  '@lmdb/lmdb-linux-x64@3.2.6':
+    resolution: {integrity: sha512-nDYT8qN9si5+onHYYaI4DiauDMx24OAiuZAUsEqrDy+ja/3EbpXPX/VAkMV8AEaQhy3xc4dRC+KcYIvOFefJ4Q==}
+    cpu: [x64]
+    os: [linux]
+
+  '@lmdb/lmdb-win32-x64@3.2.6':
+    resolution: {integrity: sha512-XlqVtILonQnG+9fH2N3Aytria7P/1fwDgDhl29rde96uH2sLB8CHORIf2PfuLVzFQJ7Uqp8py9AYwr3ZUCFfWg==}
+    cpu: [x64]
+    os: [win32]
+
   '@lukeed/csprng@1.1.0':
     resolution: {integrity: sha512-Z7C/xXCiGWsg0KuKsHTKJxbWhpI3Vs5GwLfOean7MGyVFGqdRgBbAjOCh6u4bbjPc/8MJ2pZmK/0DLdCbivLDA==}
     engines: {node: '>=8'}
@@ -5300,6 +6443,36 @@ packages:
     resolution: {integrity: sha512-rb6AMp2DR4SN+kc6L1ta2NCpApyA9WYNx3CrTSZvGxq9wH71bRur+zRqPfg0vQ9mjywR7qZdX2RGHOPq3ss+tA==}
     engines: {node: '>=18'}
 
+  '@msgpackr-extract/msgpackr-extract-darwin-arm64@3.0.3':
+    resolution: {integrity: sha512-QZHtlVgbAdy2zAqNA9Gu1UpIuI8Xvsd1v8ic6B2pZmeFnFcMWiPLfWXh7TVw4eGEZ/C9TH281KwhVoeQUKbyjw==}
+    cpu: [arm64]
+    os: [darwin]
+
+  '@msgpackr-extract/msgpackr-extract-darwin-x64@3.0.3':
+    resolution: {integrity: sha512-mdzd3AVzYKuUmiWOQ8GNhl64/IoFGol569zNRdkLReh6LRLHOXxU4U8eq0JwaD8iFHdVGqSy4IjFL4reoWCDFw==}
+    cpu: [x64]
+    os: [darwin]
+
+  '@msgpackr-extract/msgpackr-extract-linux-arm64@3.0.3':
+    resolution: {integrity: sha512-YxQL+ax0XqBJDZiKimS2XQaf+2wDGVa1enVRGzEvLLVFeqa5kx2bWbtcSXgsxjQB7nRqqIGFIcLteF/sHeVtQg==}
+    cpu: [arm64]
+    os: [linux]
+
+  '@msgpackr-extract/msgpackr-extract-linux-arm@3.0.3':
+    resolution: {integrity: sha512-fg0uy/dG/nZEXfYilKoRe7yALaNmHoYeIoJuJ7KJ+YyU2bvY8vPv27f7UKhGRpY6euFYqEVhxCFZgAUNQBM3nw==}
+    cpu: [arm]
+    os: [linux]
+
+  '@msgpackr-extract/msgpackr-extract-linux-x64@3.0.3':
+    resolution: {integrity: sha512-cvwNfbP07pKUfq1uH+S6KJ7dT9K8WOE4ZiAcsrSes+UY55E/0jLYc+vq+DO7jlmqRb5zAggExKm0H7O/CBaesg==}
+    cpu: [x64]
+    os: [linux]
+
+  '@msgpackr-extract/msgpackr-extract-win32-x64@3.0.3':
+    resolution: {integrity: sha512-x0fWaQtYp4E6sktbsdAqnehxDgEc/VwM7uLsRCYWaiGu0ykYdZPiS8zCWdnjHwyiumousxfBm4SO31eXqwEZhQ==}
+    cpu: [x64]
+    os: [win32]
+
   '@mswjs/interceptors@0.36.10':
     resolution: {integrity: sha512-GXrJgakgJW3DWKueebkvtYgGKkxA7s0u5B0P5syJM5rvQUnrpLPigvci8Hukl7yEM+sU06l+er2Fgvx/gmiRgg==}
     engines: {node: '>=18'}
@@ -5308,6 +6481,106 @@ packages:
     resolution: {integrity: sha512-AAwRb5vXFcY4L+FvZ7LZusDuZ0vEe0Zm8ohn1FM6/X7A3bj4mqmkAcGRWuvC2JwSygNwHAAmMnAI73vPHeqsHA==}
     engines: {node: '>=18'}
 
+  '@napi-rs/nice-android-arm-eabi@1.0.4':
+    resolution: {integrity: sha512-OZFMYUkih4g6HCKTjqJHhMUlgvPiDuSLZPbPBWHLjKmFTv74COzRlq/gwHtmEVaR39mJQ6ZyttDl2HNMUbLVoA==}
+    engines: {node: '>= 10'}
+    cpu: [arm]
+    os: [android]
+
+  '@napi-rs/nice-android-arm64@1.0.4':
+    resolution: {integrity: sha512-k8u7cjeA64vQWXZcRrPbmwjH8K09CBnNaPnI9L1D5N6iMPL3XYQzLcN6WwQonfcqCDv5OCY3IqX89goPTV4KMw==}
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [android]
+
+  '@napi-rs/nice-darwin-arm64@1.0.4':
+    resolution: {integrity: sha512-GsLdQvUcuVzoyzmtjsThnpaVEizAqH5yPHgnsBmq3JdVoVZHELFo7PuJEdfOH1DOHi2mPwB9sCJEstAYf3XCJA==}
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [darwin]
+
+  '@napi-rs/nice-darwin-x64@1.0.4':
+    resolution: {integrity: sha512-1y3gyT3e5zUY5SxRl3QDtJiWVsbkmhtUHIYwdWWIQ3Ia+byd/IHIEpqAxOGW1nhhnIKfTCuxBadHQb+yZASVoA==}
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [darwin]
+
+  '@napi-rs/nice-freebsd-x64@1.0.4':
+    resolution: {integrity: sha512-06oXzESPRdXUuzS8n2hGwhM2HACnDfl3bfUaSqLGImM8TA33pzDXgGL0e3If8CcFWT98aHows5Lk7xnqYNGFeA==}
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [freebsd]
+
+  '@napi-rs/nice-linux-arm-gnueabihf@1.0.4':
+    resolution: {integrity: sha512-CgklZ6g8WL4+EgVVkxkEvvsi2DSLf9QIloxWO0fvQyQBp6VguUSX3eHLeRpqwW8cRm2Hv/Q1+PduNk7VK37VZw==}
+    engines: {node: '>= 10'}
+    cpu: [arm]
+    os: [linux]
+
+  '@napi-rs/nice-linux-arm64-gnu@1.0.4':
+    resolution: {integrity: sha512-wdAJ7lgjhAlsANUCv0zi6msRwq+D4KDgU+GCCHssSxWmAERZa2KZXO0H2xdmoJ/0i03i6YfK/sWaZgUAyuW2oQ==}
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [linux]
+
+  '@napi-rs/nice-linux-arm64-musl@1.0.4':
+    resolution: {integrity: sha512-4b1KYG+sriufhFrpUS9uNOEYYJqSfcbnwGx6uGX7JjrH8tELG90cOpCawz5THNIwlS3DhLgnCOcn0+4p6z26QA==}
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [linux]
+
+  '@napi-rs/nice-linux-ppc64-gnu@1.0.4':
+    resolution: {integrity: sha512-iaf3vMRgr23oe1PUaKpxaH3DS0IMN0+N9iEiWVwYPm/U15vZFYdqVegGfN2PzrZLUl5lc8ZxbmEKDfuqslhAMA==}
+    engines: {node: '>= 10'}
+    cpu: [ppc64]
+    os: [linux]
+
+  '@napi-rs/nice-linux-riscv64-gnu@1.0.4':
+    resolution: {integrity: sha512-UXoREY6Yw6rHrGuTwQgBxpfjK34t6mTjibE9/cXbefL9AuUCJ9gEgwNKZiONuR5QGswChqo9cnthjdKkYyAdDg==}
+    engines: {node: '>= 10'}
+    cpu: [riscv64]
+    os: [linux]
+
+  '@napi-rs/nice-linux-s390x-gnu@1.0.4':
+    resolution: {integrity: sha512-eFbgYCRPmsqbYPAlLYU5hYTNbogmIDUvknilehHsFhCH1+0/kN87lP+XaLT0Yeq4V/rpwChSd9vlz4muzFArtw==}
+    engines: {node: '>= 10'}
+    cpu: [s390x]
+    os: [linux]
+
+  '@napi-rs/nice-linux-x64-gnu@1.0.4':
+    resolution: {integrity: sha512-4T3E6uTCwWT6IPnwuPcWVz3oHxvEp/qbrCxZhsgzwTUBEwu78EGNXGdHfKJQt3soth89MLqZJw+Zzvnhrsg1mQ==}
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [linux]
+
+  '@napi-rs/nice-linux-x64-musl@1.0.4':
+    resolution: {integrity: sha512-NtbBkAeyBPLvCBkWtwkKXkNSn677eaT0cX3tygq+2qVv71TmHgX4gkX6o9BXjlPzdgPGwrUudavCYPT9tzkEqQ==}
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [linux]
+
+  '@napi-rs/nice-win32-arm64-msvc@1.0.4':
+    resolution: {integrity: sha512-vubOe3i+YtSJGEk/++73y+TIxbuVHi+W8ZzrRm2eETCjCRwNlgbfToQZ85dSA+4iBB/NJRGNp+O4hfdbbttZWA==}
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [win32]
+
+  '@napi-rs/nice-win32-ia32-msvc@1.0.4':
+    resolution: {integrity: sha512-BMOVrUDZeg1RNRKVlh4eyLv5djAAVLiSddfpuuQ47EFjBcklg0NUeKMFKNrKQR4UnSn4HAiACLD7YK7koskwmg==}
+    engines: {node: '>= 10'}
+    cpu: [ia32]
+    os: [win32]
+
+  '@napi-rs/nice-win32-x64-msvc@1.0.4':
+    resolution: {integrity: sha512-kCNk6HcRZquhw/whwh4rHsdPyOSCQCgnVDVik+Y9cuSVTDy3frpiCJTScJqPPS872h4JgZKkr/+CwcwttNEo9Q==}
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [win32]
+
+  '@napi-rs/nice@1.0.4':
+    resolution: {integrity: sha512-Sqih1YARrmMoHlXGgI9JrrgkzxcaaEso0AH+Y7j8NHonUs+xe4iDsgC3IBIDNdzEewbNpccNN6hip+b5vmyRLw==}
+    engines: {node: '>= 10'}
+
   '@nestjs/cli@10.4.8':
     resolution: {integrity: sha512-BQ/MIXcO2TjLVR9ZCN1MRQqijgCI7taueLdxowLS9UmAHbN7iZcQt307NTC6SFt8uVJg2CrLanD60M/Pr0ZMoQ==}
     engines: {node: '>= 16.14'}
@@ -5600,6 +6873,14 @@ packages:
     cpu: [x64]
     os: [win32]
 
+  '@ngtools/webpack@19.2.15':
+    resolution: {integrity: sha512-H37nop/wWMkSgoU2VvrMzanHePdLRRrX52nC5tT2ZhH3qP25+PrnMyw11PoLDLv3iWXC68uB1AiKNIT+jiQbuQ==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+    peerDependencies:
+      '@angular/compiler-cli': ^19.0.0 || ^19.2.0-next.0
+      typescript: '>=5.5 <5.9'
+      webpack: ^5.54.0
+
   '@nodelib/fs.scandir@2.1.5':
     resolution: {integrity: sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==}
     engines: {node: '>= 8'}
@@ -5612,6 +6893,43 @@ packages:
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     engines: {node: '>= 8'}
 
+  '@npmcli/agent@3.0.0':
+    resolution: {integrity: sha512-S79NdEgDQd/NGCay6TCoVzXSj74skRZIKJcpJjC5lOq34SZzyI6MqtiiWoiVWoVrTcGjNeC4ipbh1VIHlpfF5Q==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/fs@4.0.0':
+    resolution: {integrity: sha512-/xGlezI6xfGO9NwuJlnwz/K14qD1kCSAGtacBHnGzeAIuJGazcp45KP5NuyARXoKb7cwulAGWVsbeSxdG/cb0Q==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/git@6.0.3':
+    resolution: {integrity: sha512-GUYESQlxZRAdhs3UhbB6pVRNUELQOHXwK9ruDkwmCv2aZ5y0SApQzUJCg02p3A7Ue2J5hxvlk1YI53c00NmRyQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/installed-package-contents@3.0.0':
+    resolution: {integrity: sha512-fkxoPuFGvxyrH+OQzyTkX2LUEamrF4jZSmxjAtPPHHGO0dqsQ8tTKjnIS8SAnPHdk2I03BDtSMR5K/4loKg79Q==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+    hasBin: true
+
+  '@npmcli/node-gyp@4.0.0':
+    resolution: {integrity: sha512-+t5DZ6mO/QFh78PByMq1fGSAub/agLJZDRfJRMeOSNCt8s9YVlTjmGpIPwPhvXTGUIJk+WszlT0rQa1W33yzNA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/package-json@6.2.0':
+    resolution: {integrity: sha512-rCNLSB/JzNvot0SEyXqWZ7tX2B5dD2a1br2Dp0vSYVo5jh8Z0EZ7lS9TsZ1UtziddB1UfNUaMCc538/HztnJGA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/promise-spawn@8.0.2':
+    resolution: {integrity: sha512-/bNJhjc+o6qL+Dwz/bqfTQClkEO5nTQ1ZEcdCkAQjhkZMHIh22LPG7fNh1enJP1NKWDqYiiABnjFCY7E0zHYtQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/redact@3.2.2':
+    resolution: {integrity: sha512-7VmYAmk4csGv08QzrDKScdzn11jHPFGyqJW39FyPgPuAp3zIaUmuCo1yxw9aGs+NEJuTGQ9Gwqpt93vtJubucg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@npmcli/run-script@9.1.0':
+    resolution: {integrity: sha512-aoNSbxtkePXUlbZB+anS1LqsJdctG5n3UVhfU47+CDdwMi6uNTBMF9gPcQRnqghQd2FGzcwwIFBruFMxjhBewg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   '@nuxt/devalue@2.0.2':
     resolution: {integrity: sha512-GBzP8zOc7CGWyFQS6dv1lQz8VVpz5C2yRszbXufwG/9zhStTIH50EtD87NmWbTMwXDvZLNg8GIpb1UFdH93JCA==}
 
@@ -6733,6 +8051,11 @@ packages:
     cpu: [arm]
     os: [android]
 
+  '@rollup/rollup-android-arm-eabi@4.34.8':
+    resolution: {integrity: sha512-q217OSE8DTp8AFHuNHXo0Y86e1wtlfVrXiAlwkIvGRQv9zbc6mE3sjIVfwI8sYUyNxwOg0j/Vm1RKM04JcWLJw==}
+    cpu: [arm]
+    os: [android]
+
   '@rollup/rollup-android-arm-eabi@4.34.9':
     resolution: {integrity: sha512-qZdlImWXur0CFakn2BJ2znJOdqYZKiedEPEVNTBrpfPjc/YuTGcaYZcdmNFTkUj3DU0ZM/AElcM8Ybww3xVLzA==}
     cpu: [arm]
@@ -6748,6 +8071,11 @@ packages:
     cpu: [arm64]
     os: [android]
 
+  '@rollup/rollup-android-arm64@4.34.8':
+    resolution: {integrity: sha512-Gigjz7mNWaOL9wCggvoK3jEIUUbGul656opstjaUSGC3eT0BM7PofdAJaBfPFWWkXNVAXbaQtC99OCg4sJv70Q==}
+    cpu: [arm64]
+    os: [android]
+
   '@rollup/rollup-android-arm64@4.34.9':
     resolution: {integrity: sha512-4KW7P53h6HtJf5Y608T1ISKvNIYLWRKMvfnG0c44M6In4DQVU58HZFEVhWINDZKp7FZps98G3gxwC1sb0wXUUg==}
     cpu: [arm64]
@@ -6763,6 +8091,11 @@ packages:
     cpu: [arm64]
     os: [darwin]
 
+  '@rollup/rollup-darwin-arm64@4.34.8':
+    resolution: {integrity: sha512-02rVdZ5tgdUNRxIUrFdcMBZQoaPMrxtwSb+/hOfBdqkatYHR3lZ2A2EGyHq2sGOd0Owk80oV3snlDASC24He3Q==}
+    cpu: [arm64]
+    os: [darwin]
+
   '@rollup/rollup-darwin-arm64@4.34.9':
     resolution: {integrity: sha512-0CY3/K54slrzLDjOA7TOjN1NuLKERBgk9nY5V34mhmuu673YNb+7ghaDUs6N0ujXR7fz5XaS5Aa6d2TNxZd0OQ==}
     cpu: [arm64]
@@ -6778,16 +8111,31 @@ packages:
     cpu: [x64]
     os: [darwin]
 
+  '@rollup/rollup-darwin-x64@4.34.8':
+    resolution: {integrity: sha512-qIP/elwR/tq/dYRx3lgwK31jkZvMiD6qUtOycLhTzCvrjbZ3LjQnEM9rNhSGpbLXVJYQ3rq39A6Re0h9tU2ynw==}
+    cpu: [x64]
+    os: [darwin]
+
   '@rollup/rollup-darwin-x64@4.34.9':
     resolution: {integrity: sha512-eOojSEAi/acnsJVYRxnMkPFqcxSMFfrw7r2iD9Q32SGkb/Q9FpUY1UlAu1DH9T7j++gZ0lHjnm4OyH2vCI7l7Q==}
     cpu: [x64]
     os: [darwin]
 
+  '@rollup/rollup-freebsd-arm64@4.34.8':
+    resolution: {integrity: sha512-IQNVXL9iY6NniYbTaOKdrlVP3XIqazBgJOVkddzJlqnCpRi/yAeSOa8PLcECFSQochzqApIOE1GHNu3pCz+BDA==}
+    cpu: [arm64]
+    os: [freebsd]
+
   '@rollup/rollup-freebsd-arm64@4.34.9':
     resolution: {integrity: sha512-2lzjQPJbN5UnHm7bHIUKFMulGTQwdvOkouJDpPysJS+QFBGDJqcfh+CxxtG23Ik/9tEvnebQiylYoazFMAgrYw==}
     cpu: [arm64]
     os: [freebsd]
 
+  '@rollup/rollup-freebsd-x64@4.34.8':
+    resolution: {integrity: sha512-TYXcHghgnCqYFiE3FT5QwXtOZqDj5GmaFNTNt3jNC+vh22dc/ukG2cG+pi75QO4kACohZzidsq7yKTKwq/Jq7Q==}
+    cpu: [x64]
+    os: [freebsd]
+
   '@rollup/rollup-freebsd-x64@4.34.9':
     resolution: {integrity: sha512-SLl0hi2Ah2H7xQYd6Qaiu01kFPzQ+hqvdYSoOtHYg/zCIFs6t8sV95kaoqjzjFwuYQLtOI0RZre/Ke0nPaQV+g==}
     cpu: [x64]
@@ -6803,6 +8151,11 @@ packages:
     cpu: [arm]
     os: [linux]
 
+  '@rollup/rollup-linux-arm-gnueabihf@4.34.8':
+    resolution: {integrity: sha512-A4iphFGNkWRd+5m3VIGuqHnG3MVnqKe7Al57u9mwgbyZ2/xF9Jio72MaY7xxh+Y87VAHmGQr73qoKL9HPbXj1g==}
+    cpu: [arm]
+    os: [linux]
+
   '@rollup/rollup-linux-arm-gnueabihf@4.34.9':
     resolution: {integrity: sha512-88I+D3TeKItrw+Y/2ud4Tw0+3CxQ2kLgu3QvrogZ0OfkmX/DEppehus7L3TS2Q4lpB+hYyxhkQiYPJ6Mf5/dPg==}
     cpu: [arm]
@@ -6813,6 +8166,11 @@ packages:
     cpu: [arm]
     os: [linux]
 
+  '@rollup/rollup-linux-arm-musleabihf@4.34.8':
+    resolution: {integrity: sha512-S0lqKLfTm5u+QTxlFiAnb2J/2dgQqRy/XvziPtDd1rKZFXHTyYLoVL58M/XFwDI01AQCDIevGLbQrMAtdyanpA==}
+    cpu: [arm]
+    os: [linux]
+
   '@rollup/rollup-linux-arm-musleabihf@4.34.9':
     resolution: {integrity: sha512-3qyfWljSFHi9zH0KgtEPG4cBXHDFhwD8kwg6xLfHQ0IWuH9crp005GfoUUh/6w9/FWGBwEHg3lxK1iHRN1MFlA==}
     cpu: [arm]
@@ -6828,6 +8186,11 @@ packages:
     cpu: [arm64]
     os: [linux]
 
+  '@rollup/rollup-linux-arm64-gnu@4.34.8':
+    resolution: {integrity: sha512-jpz9YOuPiSkL4G4pqKrus0pn9aYwpImGkosRKwNi+sJSkz+WU3anZe6hi73StLOQdfXYXC7hUfsQlTnjMd3s1A==}
+    cpu: [arm64]
+    os: [linux]
+
   '@rollup/rollup-linux-arm64-gnu@4.34.9':
     resolution: {integrity: sha512-6TZjPHjKZUQKmVKMUowF3ewHxctrRR09eYyvT5eFv8w/fXarEra83A2mHTVJLA5xU91aCNOUnM+DWFMSbQ0Nxw==}
     cpu: [arm64]
@@ -6843,11 +8206,21 @@ packages:
     cpu: [arm64]
     os: [linux]
 
+  '@rollup/rollup-linux-arm64-musl@4.34.8':
+    resolution: {integrity: sha512-KdSfaROOUJXgTVxJNAZ3KwkRc5nggDk+06P6lgi1HLv1hskgvxHUKZ4xtwHkVYJ1Rep4GNo+uEfycCRRxht7+Q==}
+    cpu: [arm64]
+    os: [linux]
+
   '@rollup/rollup-linux-arm64-musl@4.34.9':
     resolution: {integrity: sha512-LD2fytxZJZ6xzOKnMbIpgzFOuIKlxVOpiMAXawsAZ2mHBPEYOnLRK5TTEsID6z4eM23DuO88X0Tq1mErHMVq0A==}
     cpu: [arm64]
     os: [linux]
 
+  '@rollup/rollup-linux-loongarch64-gnu@4.34.8':
+    resolution: {integrity: sha512-NyF4gcxwkMFRjgXBM6g2lkT58OWztZvw5KkV2K0qqSnUEqCVcqdh2jN4gQrTn/YUpAcNKyFHfoOZEer9nwo6uQ==}
+    cpu: [loong64]
+    os: [linux]
+
   '@rollup/rollup-linux-loongarch64-gnu@4.34.9':
     resolution: {integrity: sha512-dRAgTfDsn0TE0HI6cmo13hemKpVHOEyeciGtvlBTkpx/F65kTvShtY/EVyZEIfxFkV5JJTuQ9tP5HGBS0hfxIg==}
     cpu: [loong64]
@@ -6863,6 +8236,11 @@ packages:
     cpu: [ppc64]
     os: [linux]
 
+  '@rollup/rollup-linux-powerpc64le-gnu@4.34.8':
+    resolution: {integrity: sha512-LMJc999GkhGvktHU85zNTDImZVUCJ1z/MbAJTnviiWmmjyckP5aQsHtcujMjpNdMZPT2rQEDBlJfubhs3jsMfw==}
+    cpu: [ppc64]
+    os: [linux]
+
   '@rollup/rollup-linux-powerpc64le-gnu@4.34.9':
     resolution: {integrity: sha512-PHcNOAEhkoMSQtMf+rJofwisZqaU8iQ8EaSps58f5HYll9EAY5BSErCZ8qBDMVbq88h4UxaNPlbrKqfWP8RfJA==}
     cpu: [ppc64]
@@ -6878,6 +8256,11 @@ packages:
     cpu: [riscv64]
     os: [linux]
 
+  '@rollup/rollup-linux-riscv64-gnu@4.34.8':
+    resolution: {integrity: sha512-xAQCAHPj8nJq1PI3z8CIZzXuXCstquz7cIOL73HHdXiRcKk8Ywwqtx2wrIy23EcTn4aZ2fLJNBB8d0tQENPCmw==}
+    cpu: [riscv64]
+    os: [linux]
+
   '@rollup/rollup-linux-riscv64-gnu@4.34.9':
     resolution: {integrity: sha512-Z2i0Uy5G96KBYKjeQFKbbsB54xFOL5/y1P5wNBsbXB8yE+At3oh0DVMjQVzCJRJSfReiB2tX8T6HUFZ2k8iaKg==}
     cpu: [riscv64]
@@ -6893,6 +8276,11 @@ packages:
     cpu: [s390x]
     os: [linux]
 
+  '@rollup/rollup-linux-s390x-gnu@4.34.8':
+    resolution: {integrity: sha512-DdePVk1NDEuc3fOe3dPPTb+rjMtuFw89gw6gVWxQFAuEqqSdDKnrwzZHrUYdac7A7dXl9Q2Vflxpme15gUWQFA==}
+    cpu: [s390x]
+    os: [linux]
+
   '@rollup/rollup-linux-s390x-gnu@4.34.9':
     resolution: {integrity: sha512-U+5SwTMoeYXoDzJX5dhDTxRltSrIax8KWwfaaYcynuJw8mT33W7oOgz0a+AaXtGuvhzTr2tVKh5UO8GVANTxyQ==}
     cpu: [s390x]
@@ -6908,6 +8296,11 @@ packages:
     cpu: [x64]
     os: [linux]
 
+  '@rollup/rollup-linux-x64-gnu@4.34.8':
+    resolution: {integrity: sha512-8y7ED8gjxITUltTUEJLQdgpbPh1sUQ0kMTmufRF/Ns5tI9TNMNlhWtmPKKHCU0SilX+3MJkZ0zERYYGIVBYHIA==}
+    cpu: [x64]
+    os: [linux]
+
   '@rollup/rollup-linux-x64-gnu@4.34.9':
     resolution: {integrity: sha512-FwBHNSOjUTQLP4MG7y6rR6qbGw4MFeQnIBrMe161QGaQoBQLqSUEKlHIiVgF3g/mb3lxlxzJOpIBhaP+C+KP2A==}
     cpu: [x64]
@@ -6923,6 +8316,11 @@ packages:
     cpu: [x64]
     os: [linux]
 
+  '@rollup/rollup-linux-x64-musl@4.34.8':
+    resolution: {integrity: sha512-SCXcP0ZpGFIe7Ge+McxY5zKxiEI5ra+GT3QRxL0pMMtxPfpyLAKleZODi1zdRHkz5/BhueUrYtYVgubqe9JBNQ==}
+    cpu: [x64]
+    os: [linux]
+
   '@rollup/rollup-linux-x64-musl@4.34.9':
     resolution: {integrity: sha512-cYRpV4650z2I3/s6+5/LONkjIz8MBeqrk+vPXV10ORBnshpn8S32bPqQ2Utv39jCiDcO2eJTuSlPXpnvmaIgRA==}
     cpu: [x64]
@@ -6938,6 +8336,11 @@ packages:
     cpu: [arm64]
     os: [win32]
 
+  '@rollup/rollup-win32-arm64-msvc@4.34.8':
+    resolution: {integrity: sha512-YHYsgzZgFJzTRbth4h7Or0m5O74Yda+hLin0irAIobkLQFRQd1qWmnoVfwmKm9TXIZVAD0nZ+GEb2ICicLyCnQ==}
+    cpu: [arm64]
+    os: [win32]
+
   '@rollup/rollup-win32-arm64-msvc@4.34.9':
     resolution: {integrity: sha512-z4mQK9dAN6byRA/vsSgQiPeuO63wdiDxZ9yg9iyX2QTzKuQM7T4xlBoeUP/J8uiFkqxkcWndWi+W7bXdPbt27Q==}
     cpu: [arm64]
@@ -6953,6 +8356,11 @@ packages:
     cpu: [ia32]
     os: [win32]
 
+  '@rollup/rollup-win32-ia32-msvc@4.34.8':
+    resolution: {integrity: sha512-r3NRQrXkHr4uWy5TOjTpTYojR9XmF0j/RYgKCef+Ag46FWUTltm5ziticv8LdNsDMehjJ543x/+TJAek/xBA2w==}
+    cpu: [ia32]
+    os: [win32]
+
   '@rollup/rollup-win32-ia32-msvc@4.34.9':
     resolution: {integrity: sha512-KB48mPtaoHy1AwDNkAJfHXvHp24H0ryZog28spEs0V48l3H1fr4i37tiyHsgKZJnCmvxsbATdZGBpbmxTE3a9w==}
     cpu: [ia32]
@@ -6968,6 +8376,11 @@ packages:
     cpu: [x64]
     os: [win32]
 
+  '@rollup/rollup-win32-x64-msvc@4.34.8':
+    resolution: {integrity: sha512-U0FaE5O1BCpZSeE6gBl3c5ObhePQSfk9vDRToMmTkbhCOgW4jqvtS5LGyQ76L1fH8sM0keRp4uDTsbjiUyjk0g==}
+    cpu: [x64]
+    os: [win32]
+
   '@rollup/rollup-win32-x64-msvc@4.34.9':
     resolution: {integrity: sha512-AyleYRPU7+rgkMWbEh71fQlrzRfeP6SyMnRf9XX4fCdDPAJumdSBqYEcWPMzVQ4ScAl7E4oFfK0GUVn77xSwbw==}
     cpu: [x64]
@@ -6976,6 +8389,10 @@ packages:
   '@rushstack/eslint-patch@1.10.4':
     resolution: {integrity: sha512-WJgX9nzTqknM393q1QJDJmoW28kUfEnybeTfVNcNAPnIx210RXm2DiXiHzfNPJNIUUb1tJnz/l4QGtJ30PgWmA==}
 
+  '@schematics/angular@19.2.15':
+    resolution: {integrity: sha512-dz/eoFQKG09POSygpEDdlCehFIMo35HUM2rVV8lx9PfQEibpbGwl1NNQYEbqwVjTyCyD/ILyIXCWPE+EfTnG4g==}
+    engines: {node: ^18.19.1 || ^20.11.1 || >=22.0.0, npm: ^6.11.0 || ^7.5.6 || >=8.0.0, yarn: '>= 1.13.0'}
+
   '@sentry-internal/browser-utils@8.42.0':
     resolution: {integrity: sha512-xzgRI0wglKYsPrna574w1t38aftuvo44gjOKFvPNGPnYfiW9y4m+64kUz3JFbtanvOrKPcaITpdYiB4DeJXEbA==}
     engines: {node: '>=14.18'}
@@ -7112,6 +8529,30 @@ packages:
     peerDependencies:
       webpack: '>=4.40.0'
 
+  '@sigstore/bundle@3.1.0':
+    resolution: {integrity: sha512-Mm1E3/CmDDCz3nDhFKTuYdB47EdRFRQMOE/EAbiG1MJW77/w1b3P7Qx7JSrVJs8PfwOLOVcKQCHErIwCTyPbag==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@sigstore/core@2.0.0':
+    resolution: {integrity: sha512-nYxaSb/MtlSI+JWcwTHQxyNmWeWrUXJJ/G4liLrGG7+tS4vAz6LF3xRXqLH6wPIVUoZQel2Fs4ddLx4NCpiIYg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@sigstore/protobuf-specs@0.4.3':
+    resolution: {integrity: sha512-fk2zjD9117RL9BjqEwF7fwv7Q/P9yGsMV4MUJZ/DocaQJ6+3pKr+syBq1owU5Q5qGw5CUbXzm+4yJ2JVRDQeSA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@sigstore/sign@3.1.0':
+    resolution: {integrity: sha512-knzjmaOHOov1Ur7N/z4B1oPqZ0QX5geUfhrVaqVlu+hl0EAoL4o+l0MSULINcD5GCWe3Z0+YJO8ues6vFlW0Yw==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@sigstore/tuf@3.1.1':
+    resolution: {integrity: sha512-eFFvlcBIoGwVkkwmTi/vEQFSva3xs5Ot3WmBcjgjVdiaoelBLQaQ/ZBfhlG0MnG0cmTYScPpk7eDdGDWUcFUmg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  '@sigstore/verify@2.1.1':
+    resolution: {integrity: sha512-hVJD77oT67aowHxwT4+M6PGOp+E2LtLdTK3+FC0lBO9T7sYwItDMXZ7Z07IDCvR1M717a4axbIWckrW67KMP/w==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   '@sinclair/typebox@0.27.8':
     resolution: {integrity: sha512-+Fj43pSMwJs4KRrH/938Uf+uAELIgVBmQzg/q1YG10djyfA3TnrU8N8XzqCh/okZdszqBQTZf96idMfE5lnwTA==}
 
@@ -7467,6 +8908,14 @@ packages:
   '@tsconfig/node16@1.0.4':
     resolution: {integrity: sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==}
 
+  '@tufjs/canonical-json@2.0.0':
+    resolution: {integrity: sha512-yVtV8zsdo8qFHe+/3kw81dSLyF7D576A5cCFCi4X7B39tWT7SekaEFUnvnWJHz+9qO7qJTah1JbrDjWKqFtdWA==}
+    engines: {node: ^16.14.0 || >=18.0.0}
+
+  '@tufjs/models@3.0.1':
+    resolution: {integrity: sha512-UUYHISyhCU3ZgN8yaear3cGATHb3SMuKHsQ/nVbHXcmnBf+LzQ/cQfhNG+rfaSHgqGKNEm2cOCLVLELStUQ1JA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   '@types/aria-query@5.0.4':
     resolution: {integrity: sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==}
 
@@ -7488,12 +8937,18 @@ packages:
   '@types/body-parser@1.19.5':
     resolution: {integrity: sha512-fB3Zu92ucau0iQ0JMCFQE7b/dv8Ot07NI3KaZIkIUNXq82k4eBAqUaneXfleGY9JWskeS9y+u0nXMyspcuQrCg==}
 
+  '@types/bonjour@3.5.13':
+    resolution: {integrity: sha512-z9fJ5Im06zvUL548KvYNecEVlA7cVDkGUi6kZusb04mpyEFKCIZJvloCcmpmLaIahDpOQGHaHmG6imtPMmPXGQ==}
+
   '@types/bunyan@1.8.9':
     resolution: {integrity: sha512-ZqS9JGpBxVOvsawzmVt30sP++gSQMTejCkIAQ3VdadOcRE8izTyW66hufvwLeH+YEGP6Js2AW7Gz+RMyvrEbmw==}
 
   '@types/cli-progress@3.11.6':
     resolution: {integrity: sha512-cE3+jb9WRlu+uOSAugewNpITJDt1VF8dHOopPO4IABFc3SXYL5WE/+PTz/FCdZRRfIujiWW3n3aMbv1eIGVRWA==}
 
+  '@types/connect-history-api-fallback@1.5.4':
+    resolution: {integrity: sha512-n6Cr2xS1h4uAulPRdlw6Jl6s1oG8KrVilPN2yUITEs+K48EzMJJ3W1xy8K5eWuFvjp3R74AOIGSmp2UfBJ8HFw==}
+
   '@types/connect@3.4.36':
     resolution: {integrity: sha512-P63Zd/JUGq+PdrM1lv0Wv5SBYeA2+CORvbrXbngriYY0jzLUWfQMQQxOhjONEz/wlHOAxOdY7CY65rgQdTjq2w==}
 
@@ -7527,9 +8982,15 @@ packages:
   '@types/estree@1.0.6':
     resolution: {integrity: sha512-AYnb1nQyY49te+VRAVgmzfcgjYS91mY5P0TKUDCLEM+gNnA+3T6rWITXRLYCpahpqSQbN5cE+gHpnPyXjHWxcw==}
 
+  '@types/express-serve-static-core@4.19.6':
+    resolution: {integrity: sha512-N4LZ2xG7DatVqhCZzOGb1Yi5lMbXSZcmdLDe9EzSndPV2HpWYWzRbaerl2n27irrm94EPpprqa8KpskPT085+A==}
+
   '@types/express-serve-static-core@5.0.0':
     resolution: {integrity: sha512-AbXMTZGt40T+KON9/Fdxx0B2WK5hsgxcfXJLr5bFpZ7b4JCex2WyQPTEKdXqfHiY5nKKBScZ7yCoO6Pvgxfvnw==}
 
+  '@types/express@4.17.23':
+    resolution: {integrity: sha512-Crp6WY9aTYP3qPi2wGDo9iUe/rceX01UMhnF1jmwDcKCFM6cx7YhGP/Mpr3y9AASpfHixIG0E6azCcL5OcDHsQ==}
+
   '@types/express@5.0.0':
     resolution: {integrity: sha512-DvZriSMehGHL1ZNLzi6MidnsDhUZM/x2pRdDIKdwbUNqqwHxMlRdkxtn6/EPKyqKpHqTl/4nRZsRNLpZxZRpPQ==}
 
@@ -7598,6 +9059,9 @@ packages:
   '@types/node-fetch@2.6.11':
     resolution: {integrity: sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==}
 
+  '@types/node-forge@1.3.13':
+    resolution: {integrity: sha512-zePQJSW5QkwSHKRApqWCVKeKoSOt4xvEnLENZPjyvm9Ezdf/EyDeJM7jqLzOwjVICQQzvLZ63T55MKdJB5H6ww==}
+
   '@types/node@12.20.55':
     resolution: {integrity: sha512-J8xLz7q2OFulZ2cyGTLE1TbbZcjpno7FaN6zdJNrgAdrJ+DZzh/uFR6YrTb4C+nXakvud8Q4+rbhoIWlYQbUFQ==}
 
@@ -7646,12 +9110,18 @@ packages:
   '@types/retry@0.12.0':
     resolution: {integrity: sha512-wWKOClTTiizcZhXnPY4wikVAwmdYHp8q6DmC+EJUzAMsycb7HB32Kh9RN4+0gExjmPmZSAQjgURXIGATPegAvA==}
 
+  '@types/retry@0.12.2':
+    resolution: {integrity: sha512-XISRgDJ2Tc5q4TRqvgJtzsRkFYNJzZrhTdtMoGVBttwzzQJkPnS3WWTFc7kuDRoPtPakl+T+OfdEUjYJj7Jbow==}
+
   '@types/semver@7.5.8':
     resolution: {integrity: sha512-I8EUhyrgfLrcTkzV3TSsGyl1tSuPrEDzr0yd5m90UgNxQkyDXULk3b6MlQqTCpZpNtWe1K0hzclnZkTcLBe2UQ==}
 
   '@types/send@0.17.4':
     resolution: {integrity: sha512-x2EM6TJOybec7c52BX0ZspPodMsQUd5L6PRwOunVyVUhXiBSKf3AezDL8Dgvgt5o0UfKNfuA0eMLr2wLT4AiBA==}
 
+  '@types/serve-index@1.9.4':
+    resolution: {integrity: sha512-qLpGZ/c2fhSs5gnYsQxtDEq3Oy8SXPClIXkW5ghvAvsNuVSA8k+gCONcUCS/UjLEYvYps+e8uBtfgXgvhwfNug==}
+
   '@types/serve-static@1.15.7':
     resolution: {integrity: sha512-W8Ym+h8nhuRwaKPaDw34QUkwsGi6Rc4yYqvKFo5rm2FUEhCFbzVWrxXUxuKK8TASjWsysJY0nsmNCGhCOIsrOw==}
 
@@ -7661,6 +9131,9 @@ packages:
   '@types/shimmer@1.2.0':
     resolution: {integrity: sha512-UE7oxhQLLd9gub6JKIAhDq06T0F6FnztwMNRvYgjeQSBeMc1ZG/tA47EwfduvkuQS8apbkM/lpLpWsaCeYsXVg==}
 
+  '@types/sockjs@0.3.36':
+    resolution: {integrity: sha512-MK9V6NzAS1+Ud7JV9lJLFqW85VbC9dq3LmwZCuBe4wBDgKC0Kj/jd8Xl+nSviU+Qc3+m7umHHyHg//2KSa0a0Q==}
+
   '@types/stack-utils@2.0.3':
     resolution: {integrity: sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==}
 
@@ -7688,6 +9161,9 @@ packages:
   '@types/uuid@9.0.7':
     resolution: {integrity: sha512-WUtIVRUZ9i5dYXefDEAI7sh9/O7jGvHg7Df/5O/gtH3Yabe5odI3UWopVR1qbPXQtvOxWu3mM4XxlYeZtMWF4g==}
 
+  '@types/ws@8.18.1':
+    resolution: {integrity: sha512-ThVF6DCVhA8kUGy+aazFQ4kXQ7E1Ty7A3ypFOe0IcJV8O/M511G99AW24irKrW56Wt44yG9+ij8FaqoBGkuBXg==}
+
   '@types/yargs-parser@21.0.3':
     resolution: {integrity: sha512-I4q9QU9MQv4oEOz4tAHJtNz1cwuLxn2F3xcc2iV5WdqLPpUnj30aUuxt1mAxYTG+oe8CZMV/+6rU4S4gRDzqtQ==}
 
@@ -7906,6 +9382,12 @@ packages:
       '@opentelemetry/sdk-metrics': ^1.19.0
       '@opentelemetry/sdk-trace-base': ^1.19.0
 
+  '@vitejs/plugin-basic-ssl@1.2.0':
+    resolution: {integrity: sha512-mkQnxTkcldAzIsomk1UuLfAu9n+kpQ3JbHcpCp7d2Oo6ITtji8pHS3QToOWjhPFvNQSnhlkAjmGbhv2QvwO/7Q==}
+    engines: {node: '>=14.21.3'}
+    peerDependencies:
+      vite: ^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0
+
   '@vitejs/plugin-react@4.3.3':
     resolution: {integrity: sha512-NooDe9GpHGqNns1i8XDERg0Vsg5SSYRhRxxyTGogUdkdNt47jal+fbuYi+Yfq6pzRCKXyoPcWisfxE6RIM3GKA==}
     engines: {node: ^14.18.0 || >=16.0.0}
@@ -8105,48 +9587,93 @@ packages:
   '@webassemblyjs/ast@1.12.1':
     resolution: {integrity: sha512-EKfMUOPRRUTy5UII4qJDGPpqfwjOmZ5jeGFwid9mnoqIFK+e0vqoi1qH56JpmZSzEL53jKnNzScdmftJyG5xWg==}
 
+  '@webassemblyjs/ast@1.14.1':
+    resolution: {integrity: sha512-nuBEDgQfm1ccRp/8bCQrx1frohyufl4JlbMMZ4P1wpeOfDhF6FQkxZJ1b/e+PLwr6X1Nhw6OLme5usuBWYBvuQ==}
+
   '@webassemblyjs/floating-point-hex-parser@1.11.6':
     resolution: {integrity: sha512-ejAj9hfRJ2XMsNHk/v6Fu2dGS+i4UaXBXGemOfQ/JfQ6mdQg/WXtwleQRLLS4OvfDhv8rYnVwH27YJLMyYsxhw==}
 
+  '@webassemblyjs/floating-point-hex-parser@1.13.2':
+    resolution: {integrity: sha512-6oXyTOzbKxGH4steLbLNOu71Oj+C8Lg34n6CqRvqfS2O71BxY6ByfMDRhBytzknj9yGUPVJ1qIKhRlAwO1AovA==}
+
   '@webassemblyjs/helper-api-error@1.11.6':
     resolution: {integrity: sha512-o0YkoP4pVu4rN8aTJgAyj9hC2Sv5UlkzCHhxqWj8butaLvnpdc2jOwh4ewE6CX0txSfLn/UYaV/pheS2Txg//Q==}
 
+  '@webassemblyjs/helper-api-error@1.13.2':
+    resolution: {integrity: sha512-U56GMYxy4ZQCbDZd6JuvvNV/WFildOjsaWD3Tzzvmw/mas3cXzRJPMjP83JqEsgSbyrmaGjBfDtV7KDXV9UzFQ==}
+
   '@webassemblyjs/helper-buffer@1.12.1':
     resolution: {integrity: sha512-nzJwQw99DNDKr9BVCOZcLuJJUlqkJh+kVzVl6Fmq/tI5ZtEyWT1KZMyOXltXLZJmDtvLCDgwsyrkohEtopTXCw==}
 
+  '@webassemblyjs/helper-buffer@1.14.1':
+    resolution: {integrity: sha512-jyH7wtcHiKssDtFPRB+iQdxlDf96m0E39yb0k5uJVhFGleZFoNw1c4aeIcVUPPbXUVJ94wwnMOAqUHyzoEPVMA==}
+
   '@webassemblyjs/helper-numbers@1.11.6':
     resolution: {integrity: sha512-vUIhZ8LZoIWHBohiEObxVm6hwP034jwmc9kuq5GdHZH0wiLVLIPcMCdpJzG4C11cHoQ25TFIQj9kaVADVX7N3g==}
 
+  '@webassemblyjs/helper-numbers@1.13.2':
+    resolution: {integrity: sha512-FE8aCmS5Q6eQYcV3gI35O4J789wlQA+7JrqTTpJqn5emA4U2hvwJmvFRC0HODS+3Ye6WioDklgd6scJ3+PLnEA==}
+
   '@webassemblyjs/helper-wasm-bytecode@1.11.6':
     resolution: {integrity: sha512-sFFHKwcmBprO9e7Icf0+gddyWYDViL8bpPjJJl0WHxCdETktXdmtWLGVzoHbqUcY4Be1LkNfwTmXOJUFZYSJdA==}
 
+  '@webassemblyjs/helper-wasm-bytecode@1.13.2':
+    resolution: {integrity: sha512-3QbLKy93F0EAIXLh0ogEVR6rOubA9AoZ+WRYhNbFyuB70j3dRdwH9g+qXhLAO0kiYGlg3TxDV+I4rQTr/YNXkA==}
+
   '@webassemblyjs/helper-wasm-section@1.12.1':
     resolution: {integrity: sha512-Jif4vfB6FJlUlSbgEMHUyk1j234GTNG9dBJ4XJdOySoj518Xj0oGsNi59cUQF4RRMS9ouBUxDDdyBVfPTypa5g==}
 
+  '@webassemblyjs/helper-wasm-section@1.14.1':
+    resolution: {integrity: sha512-ds5mXEqTJ6oxRoqjhWDU83OgzAYjwsCV8Lo/N+oRsNDmx/ZDpqalmrtgOMkHwxsG0iI//3BwWAErYRHtgn0dZw==}
+
   '@webassemblyjs/ieee754@1.11.6':
     resolution: {integrity: sha512-LM4p2csPNvbij6U1f19v6WR56QZ8JcHg3QIJTlSwzFcmx6WSORicYj6I63f9yU1kEUtrpG+kjkiIAkevHpDXrg==}
 
+  '@webassemblyjs/ieee754@1.13.2':
+    resolution: {integrity: sha512-4LtOzh58S/5lX4ITKxnAK2USuNEvpdVV9AlgGQb8rJDHaLeHciwG4zlGr0j/SNWlr7x3vO1lDEsuePvtcDNCkw==}
+
   '@webassemblyjs/leb128@1.11.6':
     resolution: {integrity: sha512-m7a0FhE67DQXgouf1tbN5XQcdWoNgaAuoULHIfGFIEVKA6tu/edls6XnIlkmS6FrXAquJRPni3ZZKjw6FSPjPQ==}
 
+  '@webassemblyjs/leb128@1.13.2':
+    resolution: {integrity: sha512-Lde1oNoIdzVzdkNEAWZ1dZ5orIbff80YPdHx20mrHwHrVNNTjNr8E3xz9BdpcGqRQbAEa+fkrCb+fRFTl/6sQw==}
+
   '@webassemblyjs/utf8@1.11.6':
     resolution: {integrity: sha512-vtXf2wTQ3+up9Zsg8sa2yWiQpzSsMyXj0qViVP6xKGCUT8p8YJ6HqI7l5eCnWx1T/FYdsv07HQs2wTFbbof/RA==}
 
+  '@webassemblyjs/utf8@1.13.2':
+    resolution: {integrity: sha512-3NQWGjKTASY1xV5m7Hr0iPeXD9+RDobLll3T9d2AO+g3my8xy5peVyjSag4I50mR1bBSN/Ct12lo+R9tJk0NZQ==}
+
   '@webassemblyjs/wasm-edit@1.12.1':
     resolution: {integrity: sha512-1DuwbVvADvS5mGnXbE+c9NfA8QRcZ6iKquqjjmR10k6o+zzsRVesil54DKexiowcFCPdr/Q0qaMgB01+SQ1u6g==}
 
+  '@webassemblyjs/wasm-edit@1.14.1':
+    resolution: {integrity: sha512-RNJUIQH/J8iA/1NzlE4N7KtyZNHi3w7at7hDjvRNm5rcUXa00z1vRz3glZoULfJ5mpvYhLybmVcwcjGrC1pRrQ==}
+
   '@webassemblyjs/wasm-gen@1.12.1':
     resolution: {integrity: sha512-TDq4Ojh9fcohAw6OIMXqiIcTq5KUXTGRkVxbSo1hQnSy6lAM5GSdfwWeSxpAo0YzgsgF182E/U0mDNhuA0tW7w==}
 
+  '@webassemblyjs/wasm-gen@1.14.1':
+    resolution: {integrity: sha512-AmomSIjP8ZbfGQhumkNvgC33AY7qtMCXnN6bL2u2Js4gVCg8fp735aEiMSBbDR7UQIj90n4wKAFUSEd0QN2Ukg==}
+
   '@webassemblyjs/wasm-opt@1.12.1':
     resolution: {integrity: sha512-Jg99j/2gG2iaz3hijw857AVYekZe2SAskcqlWIZXjji5WStnOpVoat3gQfT/Q5tb2djnCjBtMocY/Su1GfxPBg==}
 
+  '@webassemblyjs/wasm-opt@1.14.1':
+    resolution: {integrity: sha512-PTcKLUNvBqnY2U6E5bdOQcSM+oVP/PmrDY9NzowJjislEjwP/C4an2303MCVS2Mg9d3AJpIGdUFIQQWbPds0Sw==}
+
   '@webassemblyjs/wasm-parser@1.12.1':
     resolution: {integrity: sha512-xikIi7c2FHXysxXe3COrVUPSheuBtpcfhbpFj4gmu7KRLYOzANztwUU0IbsqvMqzuNK2+glRGWCEqZo1WCLyAQ==}
 
+  '@webassemblyjs/wasm-parser@1.14.1':
+    resolution: {integrity: sha512-JLBl+KZ0R5qB7mCnud/yyX08jWFw5MsoalJ1pQ4EdFlgj9VdXKGuENGsiCIjegI1W7p91rUlcB/LB5yRJKNTcQ==}
+
   '@webassemblyjs/wast-printer@1.12.1':
     resolution: {integrity: sha512-+X4WAlOisVWQMikjbcvY2e0rwPsKQ9F688lksZhBcPycBBuii3O7m8FACbDMWDojpAqvjIncrG8J0XHKyQfVeA==}
 
+  '@webassemblyjs/wast-printer@1.14.1':
+    resolution: {integrity: sha512-kPSSXE6De1XOR820C90RIo2ogvZG+c3KiHzqUoO/F34Y2shGzesfqv7o57xrxovZJH/MetF5UjroJ/R/3isoiw==}
+
   '@xmldom/xmldom@0.8.10':
     resolution: {integrity: sha512-2WALfTl4xo2SkGCYRt6rDTFfk9R1czmBvUQy12gK2KuRKIpWEhcbbzy8EZXtz/jkRqHX8bFEc6FC1HjX4TUWYw==}
     engines: {node: '>=10.0.0'}
@@ -8157,6 +9684,9 @@ packages:
   '@xtuc/long@4.2.2':
     resolution: {integrity: sha512-NuHqBY1PB/D8xU6s/thBgOAiAP7HOYDQ32+BFZILJ8ivkUkAHQnWfn6WhL79Owj1qmUnoN/YPhktdIoucipkAQ==}
 
+  '@yarnpkg/lockfile@1.1.0':
+    resolution: {integrity: sha512-GpSwvyXOcOOlV70vbnzjj4fW5xW/FdUF6nQEt1ENy7m4ZCczi1+/buVUPAqmGfqznsORNFzUMjctTIp8a9tuCQ==}
+
   abbrev@1.1.1:
     resolution: {integrity: sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==}
 
@@ -8216,6 +9746,10 @@ packages:
     engines: {node: '>=0.4.0'}
     hasBin: true
 
+  adjust-sourcemap-loader@4.0.0:
+    resolution: {integrity: sha512-OXwN5b9pCUXNQHJpwwD2qP40byEmSgzj8B4ydSN0uMNYWiFmJ6x6KwUllMmfk8Rwu/HJDFR7U8ubsWBoN0Xp0A==}
+    engines: {node: '>=8.9'}
+
   agent-base@6.0.2:
     resolution: {integrity: sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==}
     engines: {node: '>= 6.0.0'}
@@ -8253,6 +9787,11 @@ packages:
     peerDependencies:
       ajv: ^6.9.1
 
+  ajv-keywords@5.1.0:
+    resolution: {integrity: sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==}
+    peerDependencies:
+      ajv: ^8.8.2
+
   ajv@6.12.6:
     resolution: {integrity: sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==}
 
@@ -8278,6 +9817,11 @@ packages:
     resolution: {integrity: sha512-GdYO7a61mR0fOlAsvC9/rIHf7L96sBc6dEWzeOu+KAea5bZyQRPIpojrVoI4AXGJS/ycu/fBTdLrUkA4ODrvjw==}
     engines: {node: '>=18'}
 
+  ansi-html-community@0.0.8:
+    resolution: {integrity: sha512-1APHAyr3+PCamwNw3bXCPp4HFLONZt/yIH0sZp0/469KWNTEy+qN5jQ3GVX6DMZ1UXAi34yVwtTeaG/HpBuuzw==}
+    engines: {'0': node >= 0.8.0}
+    hasBin: true
+
   ansi-regex@5.0.1:
     resolution: {integrity: sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==}
     engines: {node: '>=8'}
@@ -8520,6 +10064,13 @@ packages:
     peerDependencies:
       '@babel/core': ^7.8.0
 
+  babel-loader@9.2.1:
+    resolution: {integrity: sha512-fqe8naHt46e0yIdkjUZYqddSXfej3AHajX+CSO5X7oy0EmPc6o5Xh+RClNoHjnieWz9AW4kZxW9yyFMhVB1QLA==}
+    engines: {node: '>= 14.15.0'}
+    peerDependencies:
+      '@babel/core': ^7.12.0
+      webpack: '>=5'
+
   babel-plugin-istanbul@6.1.1:
     resolution: {integrity: sha512-Y1IQok9821cC9onCx5otgFfRm7Lm+I+wwxOx738M/WLPZ9Q42m4IG5W0FNX8WLL2gYMZo3JkuXIH2DOpWM+qwA==}
     engines: {node: '>=8'}
@@ -8528,6 +10079,21 @@ packages:
     resolution: {integrity: sha512-ESAc/RJvGTFEzRwOTT4+lNDk/GNHMkKbNzsvT0qKRfDyyYTskxB5rnU2njIDYVxXCBHHEI1c0YwHob3WaYujOg==}
     engines: {node: ^14.15.0 || ^16.10.0 || >=18.0.0}
 
+  babel-plugin-polyfill-corejs2@0.4.14:
+    resolution: {integrity: sha512-Co2Y9wX854ts6U8gAAPXfn0GmAyctHuK8n0Yhfjd6t30g7yvKjspvvOo9yG+z52PZRgFErt7Ka2pYnXCjLKEpg==}
+    peerDependencies:
+      '@babel/core': ^7.4.0 || ^8.0.0-0 <8.0.0
+
+  babel-plugin-polyfill-corejs3@0.11.1:
+    resolution: {integrity: sha512-yGCqvBT4rwMczo28xkH/noxJ6MZ4nJfkVYdoDaC/utLtWrXxv27HVrzAeSbqR8SxDsp46n0YF47EbHoixy6rXQ==}
+    peerDependencies:
+      '@babel/core': ^7.4.0 || ^8.0.0-0 <8.0.0
+
+  babel-plugin-polyfill-regenerator@0.6.5:
+    resolution: {integrity: sha512-ISqQ2frbiNU9vIJkzg7dlPpznPZ4jOiUQ1uSmB0fEHeowtN3COYRsXr/xexn64NpU13P06jc/L5TgiJXOgrbEg==}
+    peerDependencies:
+      '@babel/core': ^7.4.0 || ^8.0.0-0 <8.0.0
+
   babel-preset-current-node-syntax@1.1.0:
     resolution: {integrity: sha512-ldYss8SbBlWva1bs28q78Ju5Zq1F+8BrqBZZ0VFhLBvhh6lCpC2o3gDJi/5DRLs9FgYZCnmPYIVFU4lRXCkyUw==}
     peerDependencies:
@@ -8551,10 +10117,20 @@ packages:
   base64-js@1.5.1:
     resolution: {integrity: sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==}
 
+  batch@0.6.1:
+    resolution: {integrity: sha512-x+VAiMRL6UPkx+kudNvxTl6hB2XNNCG2r+7wixVfIYwu/2HKRXimwQyaumLjMveWvT2Hkd/cAJw+QBMfJ/EKVw==}
+
+  beasties@0.3.2:
+    resolution: {integrity: sha512-p4AF8uYzm9Fwu8m/hSVTCPXrRBPmB34hQpHsec2KOaR9CZmgoU8IOv4Cvwq4hgz2p4hLMNbsdNl5XeA6XbAQwA==}
+    engines: {node: '>=14.0.0'}
+
   better-path-resolve@1.0.0:
     resolution: {integrity: sha512-pbnl5XzGBdrFU/wT4jqmJVPn2B6UHPBOhzMQkY/SPUPB6QtUXtmBHBIwCbXJol93mOpGMnQyP/+BB19q04xj7g==}
     engines: {node: '>=4'}
 
+  big.js@5.2.2:
+    resolution: {integrity: sha512-vyL2OymJxmarO8gxMr0mhChsO9QGwhynfuu4+MHTAW6czfq9humCB7rKpUjDd9YUiDPU4mzpyupFSvOClAwbmQ==}
+
   bignumber.js@9.1.2:
     resolution: {integrity: sha512-2/mKyZH9K85bzOEfhXDBFZTGd1CTs+5IHpeFQo9luiBG7hghdC851Pj2WAhb6E3R6b9tZj/XKhbg4fum+Kepug==}
 
@@ -8595,6 +10171,9 @@ packages:
     resolution: {integrity: sha512-PagxbjvuPH6tv0f/kdVbFGcb79D236SLcDTs6DrQ7GizJ88S1UWP4nMXFEo/I4fdhGRGabvFfFjVGm3M7U8JwA==}
     engines: {node: '>= 0.10'}
 
+  bonjour-service@1.3.0:
+    resolution: {integrity: sha512-3YuAUiSkWykd+2Azjgyxei8OWf8thdn8AITIog2M4UICzoqfjlqr64WIjEXZllf/W6vK1goqleSR6brGomxQqA==}
+
   boolbase@1.0.0:
     resolution: {integrity: sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==}
 
@@ -8635,6 +10214,11 @@ packages:
     engines: {node: ^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7}
     hasBin: true
 
+  browserslist@4.25.1:
+    resolution: {integrity: sha512-KGj0KoOMXLpSNkkEI6Z6mShmQy0bc1I+T7K9N81k4WWMrfz+6fQ6es80B/YLAeRoKvjYE1YSHHOW1qe9xIVzHw==}
+    engines: {node: ^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7}
+    hasBin: true
+
   bs-logger@0.2.6:
     resolution: {integrity: sha512-pd8DCoxmbgc7hyPKOvxtqNcjYoOsABPQdcCUjGp3d42VR2CX1ORhk2A87oqqu5R1kk+76nsxZupkmyd+MVtCog==}
     engines: {node: '>= 6'}
@@ -8704,6 +10288,10 @@ packages:
     resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
     engines: {node: '>=8'}
 
+  cacache@19.0.1:
+    resolution: {integrity: sha512-hdsUxulXCi5STId78vRVYEtDAjq99ICAUktLTeTYsLoTE6Z8dS0c8pWNCxwdrk9YfJeobDZc2Y186hD/5ZQgFQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   cache-content-type@1.0.1:
     resolution: {integrity: sha512-IKufZ1o4Ut42YUrZSo8+qnMTrFuKkvyoLXUywKz9GJ5BrhOFGhLdkx9sG4KAnVvbY6kEcSFjLQul+DVmBm2bgA==}
     engines: {node: '>= 6.0.0'}
@@ -8755,6 +10343,9 @@ packages:
   caniuse-lite@1.0.30001666:
     resolution: {integrity: sha512-gD14ICmoV5ZZM1OdzPWmpx+q4GyefaK06zi8hmfHV5xe4/2nOQX3+Dw5o+fSqOws2xVwL9j+anOPFwHzdEdV4g==}
 
+  caniuse-lite@1.0.30001727:
+    resolution: {integrity: sha512-pB68nIHmbN6L/4C6MH1DokyR3bYqFwjaSs/sWDHGj4CTcFtQUQMuJftVwWkXq7mNWOybD3KhUv3oWHoGxgP14Q==}
+
   ccount@2.0.1:
     resolution: {integrity: sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==}
 
@@ -8996,6 +10587,9 @@ packages:
     resolution: {integrity: sha512-bKw/r35jR3HGt5PEPm1ljsQQGyCrR8sFGNiN5L+ykDHdpO8Smxkrkla9Yi6NkQyUrb8V54PGhfMs6NrIwtxtdw==}
     engines: {node: '>= 6'}
 
+  common-path-prefix@3.0.0:
+    resolution: {integrity: sha512-QE33hToZseCH3jS0qN96O/bSh3kaw/h+Tq7ngyY9eWDUnTlTNUyqfqvCXioLe5Na5jFsL78ra/wuBU4iuEgd4w==}
+
   commondir@1.0.1:
     resolution: {integrity: sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg==}
 
@@ -9012,6 +10606,14 @@ packages:
     resolution: {integrity: sha512-6FqVXeETqWPoGcfzrXb37E50NP0LXT8kAMu5ooZayhWWdgEY4lBEEcbQNXtkuKQsGduxiIcI4gOTsxTmuq/bSg==}
     engines: {node: '>= 14'}
 
+  compressible@2.0.18:
+    resolution: {integrity: sha512-AF3r7P5dWxL8MxyITRMlORQNaOA2IkAFaTr4k7BUumjPtRpGDTZpl0Pb1XCO6JeDCBdp126Cgs9sMxqSjgYyRg==}
+    engines: {node: '>= 0.6'}
+
+  compression@1.8.0:
+    resolution: {integrity: sha512-k6WLKfunuqCYD3t6AsuPGvQWaKwuLLh2/xHNcX4qE+vIfDNXpSqnrhwA7O53R7WVQUnt8dVAIW+YHr7xTgOgGA==}
+    engines: {node: '>= 0.8.0'}
+
   concat-map@0.0.1:
     resolution: {integrity: sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==}
 
@@ -9033,6 +10635,10 @@ packages:
   config-chain@1.1.13:
     resolution: {integrity: sha512-qj+f8APARXHrM0hraqXYb2/bOVSV4PvJQlNZ/DVj0QrmNM2q2euizkeuVckQ57J+W0mRH6Hvi+k50M4Jul2VRQ==}
 
+  connect-history-api-fallback@2.0.0:
+    resolution: {integrity: sha512-U73+6lQFmfiNPrYbXqr6kZ1i1wiRqXnp2nhMsINseWXO8lDau0LGEffJ8kQi4EjLZympVgRdvqjAgiZ1tgzDDA==}
+    engines: {node: '>=0.8'}
+
   consola@2.15.3:
     resolution: {integrity: sha512-9vAdYbHj6x2fLKC4+oPH0kFzY/orMZyG2Aj+kNylHxKGJ/Ed4dpNyAQYwJOdqO4zdM7XpVHmyejQDcQHrnuXbw==}
 
@@ -9055,6 +10661,9 @@ packages:
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     engines: {node: '>= 0.6'}
 
+  convert-source-map@1.9.0:
+    resolution: {integrity: sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A==}
+
   convert-source-map@2.0.0:
     resolution: {integrity: sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg==}
 
@@ -9087,10 +10696,22 @@ packages:
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     engines: {node: '>= 0.8'}
 
+  copy-anything@2.0.6:
+    resolution: {integrity: sha512-1j20GZTsvKNkc4BY3NpMOM8tt///wY3FpIzozTOFO2ffuZcV61nojHXVKIy3WM+7ADCy5FVhdZYHYDdgTU0yJw==}
+
   copy-anything@3.0.5:
     resolution: {integrity: sha512-yCEafptTtb4bk7GLEQoM8KVJpxAfdBJYaXyzQEgQQQgYrZiDp8SJmGKlYza6CYjEDNstAdNdKA3UuoULlEbS6w==}
     engines: {node: '>=12.13'}
 
+  copy-webpack-plugin@12.0.2:
+    resolution: {integrity: sha512-SNwdBeHyII+rWvee/bTnAYyO8vfVdcSTud4EIb6jcZ8inLeWucJE0DnxXQBjlQ5zlteuuvooGQy3LIyGxhvlOA==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      webpack: ^5.1.0
+
+  core-js-compat@3.44.0:
+    resolution: {integrity: sha512-JepmAj2zfl6ogy34qfWtcE7nHKAJnKsQFRn++scjVS2bZFllwptzw61BZcZFYBPpUznLfAvh0LGhxKppk04ClA==}
+
   core-util-is@1.0.3:
     resolution: {integrity: sha512-ZQBvi1DcpJ4GDqanjucZ2Hj3wEO5pZDS89BWbkcrvdxksJorwUDDZamX9ldFkp9aw2lmBDLgkObEA4DWNJ9FYQ==}
 
@@ -9107,6 +10728,15 @@ packages:
       typescript:
         optional: true
 
+  cosmiconfig@9.0.0:
+    resolution: {integrity: sha512-itvL5h8RETACmOTFc4UfIyB2RfEHi71Ax6E/PivVxq9NseKbOWpeyHEOIbmAw1rs8Ak0VursQNww7lf7YtUwzg==}
+    engines: {node: '>=14'}
+    peerDependencies:
+      typescript: '>=4.9.5'
+    peerDependenciesMeta:
+      typescript:
+        optional: true
+
   crc-32@1.2.2:
     resolution: {integrity: sha512-ROmzCKrTnOwybPcJApAA6WBWij23HVfGVNKqqrZpuyZOHqK2CwHSvpGuyt/UNNvaIjEd8X5IFGp4Mh+Ie1IHJQ==}
     engines: {node: '>=0.8'}
@@ -9151,6 +10781,18 @@ packages:
     peerDependencies:
       postcss: ^8.0.9
 
+  css-loader@7.1.2:
+    resolution: {integrity: sha512-6WvYYn7l/XEGN8Xu2vWFt9nVzrCn39vKyTEFf/ExEyoksJjjSZV/0/35XPlMbpnr6VGhZIUg5yJrL8tGfes/FA==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      '@rspack/core': 0.x || 1.x
+      webpack: ^5.27.0
+    peerDependenciesMeta:
+      '@rspack/core':
+        optional: true
+      webpack:
+        optional: true
+
   css-select@5.1.0:
     resolution: {integrity: sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==}
 
@@ -9305,6 +10947,15 @@ packages:
       supports-color:
         optional: true
 
+  debug@4.4.1:
+    resolution: {integrity: sha512-KcKCqiftBJcZr++7ykoDIEwSa3XWowTfNPo92BYxjXiyYEVrUQh2aLyhxBCwww+heortUFxEJYcRzosstTEBYQ==}
+    engines: {node: '>=6.0'}
+    peerDependencies:
+      supports-color: '*'
+    peerDependenciesMeta:
+      supports-color:
+        optional: true
+
   decamelize@1.2.0:
     resolution: {integrity: sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==}
     engines: {node: '>=0.10.0'}
@@ -9429,6 +11080,9 @@ packages:
     resolution: {integrity: sha512-TLz+x/vEXm/Y7P7wn1EJFNLxYpUD4TgMosxY6fAVJUnJMbupHBOncxyWUG9OpTaH9EBD7uFI5LfEgmMOc54DsA==}
     engines: {node: '>=8'}
 
+  detect-node@2.1.0:
+    resolution: {integrity: sha512-T0NIuQpnTvFDATNuHN5roPwSBG83rFsuO+MXXH9/3N1eFbn4wcPjttvjMLEPWJ0RGUYgQE7cGgS3tNxbqCGM7g==}
+
   devalue@5.1.1:
     resolution: {integrity: sha512-maua5KUiapvEwiEAe+XnlZ3Rh0GD+qI1J/nb9vrJc3muPXvcF/8gXYTWF76+5DAqHyDUtOIImEuo0YKE9mshVw==}
 
@@ -9466,6 +11120,10 @@ packages:
   dlv@1.1.3:
     resolution: {integrity: sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA==}
 
+  dns-packet@5.6.1:
+    resolution: {integrity: sha512-l4gcSouhcgIKRvyy99RNVOgxXiicE+2jZoNmaNmZ6JXiGajBOJAesk1OBlJuM5k2c+eudGdLxDqXuPCKIj6kpw==}
+    engines: {node: '>=6'}
+
   doctrine@2.1.0:
     resolution: {integrity: sha512-35mSku4ZXK0vfCuHEDAwt55dg2jNajHZ1odvF+8SSr82EsZY4QmXfuWso8oEd8zRhVObSN18aM0CjSdoBX7zIw==}
     engines: {node: '>=0.10.0'}
@@ -9496,6 +11154,9 @@ packages:
   domutils@3.1.0:
     resolution: {integrity: sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==}
 
+  domutils@3.2.2:
+    resolution: {integrity: sha512-6kZKyUajlDuqlHKVX1w7gyslj9MPIXzIFiz/rGu35uC1wMi+kMhQwGhl4lt9unC9Vb9INnY9Z3/ZA3+FhASLaw==}
+
   dot-prop@9.0.0:
     resolution: {integrity: sha512-1gxPBJpI/pcjQhKgIU91II6Wkay+dLcN3M6rf2uwP8hRur3HtQXjVrdAK3sjC0piaEuxzMwjXChcETiJl47lAQ==}
     engines: {node: '>=18'}
@@ -9537,6 +11198,9 @@ packages:
   electron-to-chromium@1.4.812:
     resolution: {integrity: sha512-7L8fC2Ey/b6SePDFKR2zHAy4mbdp1/38Yk5TsARO66W3hC5KEaeKMMHoxwtuH+jcu2AYLSn9QX04i95t6Fl1Hg==}
 
+  electron-to-chromium@1.5.182:
+    resolution: {integrity: sha512-Lv65Btwv9W4J9pyODI6EWpdnhfvrve/us5h1WspW8B2Fb0366REPtY3hX7ounk1CkV/TBjWCEvCBBbYbmV0qCA==}
+
   electron-to-chromium@1.5.31:
     resolution: {integrity: sha512-QcDoBbQeYt0+3CWcK/rEbuHvwpbT/8SV9T3OSgs6cX1FlcUAkgrkqbg9zLnDrMM/rLamzQwal4LYFCiWk861Tg==}
 
@@ -9556,6 +11220,10 @@ packages:
   emoji-regex@9.2.2:
     resolution: {integrity: sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==}
 
+  emojis-list@3.0.0:
+    resolution: {integrity: sha512-/kyM18EfinwXZbno9FyUGeFh87KC8HRQBQGildHZbEuRyWFOmv1U10o9BBp8XVZDVNNuQKyIGIu5ZYAAXJ0V2Q==}
+    engines: {node: '>= 4'}
+
   encodeurl@1.0.2:
     resolution: {integrity: sha512-TPJXq8JqFaVYm2CWmPvnP2Iyo4ZSM7/QKcSmuMLDObfpH5fi7RUGmd/rTDf+rut/saiDiQEeVTNgAmJEdAOx0w==}
     engines: {node: '>= 0.8'}
@@ -9564,6 +11232,9 @@ packages:
     resolution: {integrity: sha512-Q0n9HRi4m6JuGIV1eFlmvJB7ZEVxu93IrMyiMsGC0lrMJMWzRgx6WGquyfQgZVb31vhGgXnfmPNNXmxnOkRBrg==}
     engines: {node: '>= 0.8'}
 
+  encoding@0.1.13:
+    resolution: {integrity: sha512-ETBauow1T35Y/WZMkio9jiM0Z5xjHHmJ4XmjZOq1l/dXz3lr2sRn87nJy20RupqSh1F2m3HHPSp8ShIPQJrJ3A==}
+
   enhanced-resolve@5.17.1:
     resolution: {integrity: sha512-LMHl3dXhTcfv8gM4kEzIUeTQ+7fpdA0l2tUf34BddXPkz2A5xJ5L/Pchd5BL6rdccM9QGvu0sWZzK1Z1t4wwyg==}
     engines: {node: '>=10.13.0'}
@@ -9576,10 +11247,25 @@ packages:
     resolution: {integrity: sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==}
     engines: {node: '>=0.12'}
 
+  entities@6.0.1:
+    resolution: {integrity: sha512-aN97NXWF6AWBTahfVOIrB/NShkzi5H7F9r1s9mD3cDj4Ko5f2qhhVoYMibXF7GlLveb/D2ioWay8lxI97Ven3g==}
+    engines: {node: '>=0.12'}
+
+  env-paths@2.2.1:
+    resolution: {integrity: sha512-+h1lkLKhZMTYjog1VEpJNG7NZJWcuc2DDk/qsqSTRRCOXiLjeQ1d1/udrUGhqMxUgAlwKNZ0cf2uqan5GLuS2A==}
+    engines: {node: '>=6'}
+
   environment@1.1.0:
     resolution: {integrity: sha512-xUtoPkMggbz0MPyPiIWr1Kp4aeWJjDZ6SMvURhimjdZgsRuDplF5/s9hcgGhyXMhs+6vpnuoiZ2kFiu3FMnS8Q==}
     engines: {node: '>=18'}
 
+  err-code@2.0.3:
+    resolution: {integrity: sha512-2bmlRpNKBxT/CRmPOlyISQpNj+qSeYvcym/uT0Jx2bMOlKLtSy1ZmLuVxSEKKyor/N5yhvp/ZiG1oE3DEYMSFA==}
+
+  errno@0.1.8:
+    resolution: {integrity: sha512-dJ6oBr5SQ1VSd9qkk7ByRgb/1SH4JZjCHSW/mr63/QcXO9zLVxvJ6Oy13nio03rxpSnVDDjFor75SjVeZWPW/A==}
+    hasBin: true
+
   error-ex@1.3.2:
     resolution: {integrity: sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==}
 
@@ -9641,6 +11327,11 @@ packages:
     resolution: {integrity: sha512-QCOllgZJtaUo9miYBcLChTUaHNjJF3PYs1VidD7AwiEj1kYxKeQTctLAezAOH5ZKRH0g2IgPn6KwB4IT8iRpvA==}
     engines: {node: '>= 0.4'}
 
+  esbuild-wasm@0.25.4:
+    resolution: {integrity: sha512-2HlCS6rNvKWaSKhWaG/YIyRsTsL3gUrMP2ToZMBIjw9LM7vVcIs+rz8kE2vExvTJgvM8OKPqNpcHawY/BQc/qQ==}
+    engines: {node: '>=18'}
+    hasBin: true
+
   esbuild@0.18.20:
     resolution: {integrity: sha512-ceqxoedUrcayh7Y7ZX6NdbbDzGROiyVBgC4PriJThBKSVPWnnFHZAkfI1lJT8QFkOwH4qOS2SJkS4wvpGl8BpA==}
     engines: {node: '>=12'}
@@ -9676,9 +11367,10 @@ packages:
     engines: {node: '>=18'}
     hasBin: true
 
-  escalade@3.1.2:
-    resolution: {integrity: sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==}
-    engines: {node: '>=6'}
+  esbuild@0.25.4:
+    resolution: {integrity: sha512-8pgjLUcUjcgDg+2Q4NYXnPbo/vncAY4UmyaCm0jZevERqCHZIaWwdJHkf8XQtu4AxSKCdvrUbT0XUr1IdZzI8Q==}
+    engines: {node: '>=18'}
+    hasBin: true
 
   escalade@3.2.0:
     resolution: {integrity: sha512-WUj2qlxaQtO4g6Pq5c29GTcWGDyd8itL8zTlipgECz3JesAiiOKotd8JU6otB3PACgG6xkJUyVhboMS+bje/jA==}
@@ -9984,6 +11676,9 @@ packages:
     resolution: {integrity: sha512-2Zks0hf1VLFYI1kbh0I5jP3KHHyCHpkfyHBzsSXRFgl/Bg9mWYfMW8oD+PdMPlEwy5HNsR9JutYy6pMeOh61nw==}
     engines: {node: ^14.15.0 || ^16.10.0 || >=18.0.0}
 
+  exponential-backoff@3.1.2:
+    resolution: {integrity: sha512-8QxYTVXUkuy7fIIoitQkPwGonB8F3Zj8eEO8Sqg9Zv/bkI7RJAzowee4gr81Hak/dUTpA2Z7VfQgoijjPNlUZA==}
+
   expr-eval@2.0.2:
     resolution: {integrity: sha512-4EMSHGOPSwAfBiibw3ndnP0AvjDWLsMvGOvWEZ2F96IGk0bIVdjQisOHxReSkE13mHcfbuCiXw+G4y0zv6N8Eg==}
 
@@ -9997,6 +11692,10 @@ packages:
     resolution: {integrity: sha512-YSFlK1Ee0/GC8QaO91tHcDxJiE/X4FbpAyQWkxAvG6AXCuR65YzK8ua6D9hvi/TzUfZMpc+BwuM1IPw8fmQBiQ==}
     engines: {node: '>= 0.10.0'}
 
+  express@4.21.2:
+    resolution: {integrity: sha512-28HqgMZAmih1Czt9ny7qr6ek2qddF4FclbMzwhCREB6OFfH+rXAnuNCwo1/wFvrtbgsQDb4kSbX9de9lFbrXnA==}
+    engines: {node: '>= 0.10.0'}
+
   express@5.0.1:
     resolution: {integrity: sha512-ORF7g6qGnD+YtUG9yx4DFoqCShNMmUKiXuT5oWMHiOvt/4WFbHC6yCwQMTSBMno7AqntNCAzzcnnjowRkTL9eQ==}
     engines: {node: '>= 18'}
@@ -10030,6 +11729,10 @@ packages:
     resolution: {integrity: sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==}
     engines: {node: '>=8.6.0'}
 
+  fast-glob@3.3.3:
+    resolution: {integrity: sha512-7MptL8U0cqcFdzIzwOTHoilX9x5BrNqye7Z/LuC7kCMRio1EMSyqRK3BEAUD7sXRq4iT4AzTVuZdhgQ2TCvYLg==}
+    engines: {node: '>=8.6.0'}
+
   fast-json-stable-stringify@2.1.0:
     resolution: {integrity: sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw==}
 
@@ -10071,6 +11774,10 @@ packages:
   fastq@1.19.1:
     resolution: {integrity: sha512-GwLTyxkCXjXbxqIhTsMI2Nui8huMPtnxg7krajPJAjnEG/iiOS7i+zCtWGZR9G0NBKbXKh6X9m9UIsYX/N6vvQ==}
 
+  faye-websocket@0.11.4:
+    resolution: {integrity: sha512-CzbClwlXAuiRQAlUyfqPgvPoNKTckTPGfwZV4ZdAhVcP2lh9KUxJg2b5GkE7XbjKQ3YJnQ9z6D9ntLAlB+tP8g==}
+    engines: {node: '>=0.8.0'}
+
   fb-watchman@2.0.2:
     resolution: {integrity: sha512-p5161BqbuCaSnB8jIbzQHOlpgsPmK5rJVDfDKO91Axs5NC1uu3HRQm6wt9cd9/+GtQQIO53JdGXXoyDpTAsgYA==}
 
@@ -10082,6 +11789,14 @@ packages:
       picomatch:
         optional: true
 
+  fdir@6.4.6:
+    resolution: {integrity: sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w==}
+    peerDependencies:
+      picomatch: ^3 || ^4
+    peerDependenciesMeta:
+      picomatch:
+        optional: true
+
   figures@3.2.0:
     resolution: {integrity: sha512-yaduQFRKLXYOGgEn6AZau90j3ggSOyiqXU0F9JZfeXYhNa+Jk4X+s45A2zg5jns87GAFa34BBm2kXw4XpNcbdg==}
     engines: {node: '>=8'}
@@ -10128,6 +11843,10 @@ packages:
     resolution: {integrity: sha512-Tq6PixE0w/VMFfCgbONnkiQIVol/JJL7nRMi20fqzA4NRs9AfeqMGeRdPi3wIhYkxjeBaWh2rxwapn5Tu3IqOQ==}
     engines: {node: '>=6'}
 
+  find-cache-dir@4.0.0:
+    resolution: {integrity: sha512-9ZonPT4ZAK4a+1pUPVPZJapbi7O5qbbJPdYw/NOQWZZbVLdDTYM3A4R9z/DpAM08IDaFGsvPgiGZ82WEwUDWjg==}
+    engines: {node: '>=14.16'}
+
   find-my-way@9.0.1:
     resolution: {integrity: sha512-/5NN/R0pFWuff16TMajeKt2JyiW+/OE8nOO8vo1DwZTxLaIURb7lcBYPIgRPh61yCNh9l8voeKwcrkUzmB00vw==}
     engines: {node: '>=14'}
@@ -10144,6 +11863,10 @@ packages:
     resolution: {integrity: sha512-78/PXT1wlLLDgTzDs7sjq9hzz0vXD+zn+7wypEe4fXQxCmdmqfGsEPQxmiCSQI3ajFV91bVSsvNtrJRiW6nGng==}
     engines: {node: '>=10'}
 
+  find-up@6.3.0:
+    resolution: {integrity: sha512-v2ZsoEuVHYy8ZIlYqwPe/39Cy+cFDzp4dXPaxNvkEuouymu+2Jbz0PxpKarJHYJTmv2HWT3O382qY8l4jMWthw==}
+    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
+
   flat-cache@3.2.0:
     resolution: {integrity: sha512-CYcENa+FtcUKLmhhqyctpclsq7QF38pKjZHsGNiSQF5r4FtoKDWabFDl3hzaEQMvT1LHEysw5twgLvpYYb4vbw==}
     engines: {node: ^10.12.0 || >=12.0.0}
@@ -10257,6 +11980,10 @@ packages:
     resolution: {integrity: sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==}
     engines: {node: '>= 8'}
 
+  fs-minipass@3.0.3:
+    resolution: {integrity: sha512-XUBA9XClHbnJWSfBzjkm6RvPsyg3sryZt06BEQoXcF7EK/xpGaQYJgQKDJSUH5SGZ76Y7pFx1QBnXz09rU5Fbw==}
+    engines: {node: ^14.17.0 || ^16.13.0 || >=18.0.0}
+
   fs-monkey@1.0.6:
     resolution: {integrity: sha512-b1FMfwetIKymC0eioW7mTywihSQE4oLzQn1dB6rZB5fx/3NpNEdAWeCSMB+60/AeT0TCXsxzAlcYVEFCTAksWg==}
 
@@ -10475,6 +12202,9 @@ packages:
   h3@1.13.0:
     resolution: {integrity: sha512-vFEAu/yf8UMUcB4s43OaDaigcqpQd14yanmOsn+NcRX3/guSKncyE2rOYhq8RIchgJrPSs/QiIddnTTR1ddiAg==}
 
+  handle-thing@2.0.1:
+    resolution: {integrity: sha512-9Qn4yBxelxoh2Ow62nP+Ka/kMnOXRi8BXnRaUwezLNhqelnN49xKz4F/dPP8OYLxLxq6JDtZb2i9XznUQbNPTg==}
+
   has-bigints@1.0.2:
     resolution: {integrity: sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==}
 
@@ -10542,6 +12272,13 @@ packages:
   hookable@5.5.3:
     resolution: {integrity: sha512-Yc+BQe8SvoXH1643Qez1zqLRmbA5rCL+sSmk6TVos0LWVfNIB7PGncdlId77WzLGSIB5KaWgTaNTs2lNVEI6VQ==}
 
+  hosted-git-info@8.1.0:
+    resolution: {integrity: sha512-Rw/B2DNQaPBICNXEm8balFz9a6WpZrkCGpcWFpy7nCj+NyhSdqXipmfvtmWt9xGfp0wZnBxB+iVpLmQMYt47Tw==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  hpack.js@2.1.6:
+    resolution: {integrity: sha512-zJxVehUdMGIKsRaNt7apO2Gqp0BdqW5yaiGHXXmbpvxgBYVZnAql+BJb4RO5ad2MgpbZKn5G6nMnegrH1FcNYQ==}
+
   html-encoding-sniffer@4.0.0:
     resolution: {integrity: sha512-Y22oTqIU4uuPgEemfz7NDJz6OeKf12Lsu+QC+s3BVpda64lTiMYCyGwg5ki4vFxkMwQdeZDl2adZoqUgdFuTgQ==}
     engines: {node: '>=18'}
@@ -10556,10 +12293,19 @@ packages:
   html-url-attributes@3.0.1:
     resolution: {integrity: sha512-ol6UPyBWqsrO6EJySPz2O7ZSr856WDrEzM5zMqp+FJJLGMW35cLYmmZnl0vztAZxRUoNZJFTCohfjuIJ8I4QBQ==}
 
+  htmlparser2@10.0.0:
+    resolution: {integrity: sha512-TwAZM+zE5Tq3lrEHvOlvwgj1XLWQCtaaibSN11Q+gGBAS7Y1uZSWwXXRe4iF6OXnaq1riyQAPFOBtYc77Mxq0g==}
+
   http-assert@1.5.0:
     resolution: {integrity: sha512-uPpH7OKX4H25hBmU6G1jWNaqJGpTXxey+YOUizJUAgu0AjLUeC8D73hTrhvDS5D+GJN1DN1+hhc/eF/wpxtp0w==}
     engines: {node: '>= 0.8'}
 
+  http-cache-semantics@4.2.0:
+    resolution: {integrity: sha512-dTxcvPXqPvXBQpq5dUr6mEMJX4oIEFv6bwom3FDwKRDsuIjjJGANqhBuoAn9c1RQJIdAKav33ED65E2ys+87QQ==}
+
+  http-deceiver@1.2.7:
+    resolution: {integrity: sha512-LmpOGxTfbpgtGVxJrj5k7asXHCgNZp5nLfp+hWc8QQRqtb7fUy6kRY3BO1h9ddF6yIPYUARgxGOwB42DnxIaNw==}
+
   http-errors@1.6.3:
     resolution: {integrity: sha512-lks+lVC8dgGyh97jxvxeYTWQFvh4uw4yC12gVl63Cg30sjPX4wuGcdkICVXDAESr6OJGjqGA8Iz5mkeN6zlD7A==}
     engines: {node: '>= 0.6'}
@@ -10572,6 +12318,9 @@ packages:
     resolution: {integrity: sha512-FtwrG/euBzaEjYeRqOgly7G0qviiXoJWnvEH2Z1plBdXgbyjv34pHTSb9zoeHMyDy33+DWy5Wt9Wo+TURtOYSQ==}
     engines: {node: '>= 0.8'}
 
+  http-parser-js@0.5.10:
+    resolution: {integrity: sha512-Pysuw9XpUq5dVc/2SMHpuTY01RFl8fttgcyunjL7eEMhGM3cI4eOmiCycJDVCo/7O7ClfQD3SaI6ftDzqOXYMA==}
+
   http-proxy-agent@7.0.0:
     resolution: {integrity: sha512-+ZT+iBxVUQ1asugqnD6oWoRiS25AkjNfG085dKJGtGxkdwLQrMKU5wJr2bOOFAXzKcTuqq+7fZlTMgG3SRfIYQ==}
     engines: {node: '>= 14'}
@@ -10580,6 +12329,23 @@ packages:
     resolution: {integrity: sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig==}
     engines: {node: '>= 14'}
 
+  http-proxy-middleware@2.0.9:
+    resolution: {integrity: sha512-c1IyJYLYppU574+YI7R4QyX2ystMtVXZwIdzazUIPIJsHuWNd+mho2j+bKoHftndicGj9yh+xjd+l0yj7VeT1Q==}
+    engines: {node: '>=12.0.0'}
+    peerDependencies:
+      '@types/express': ^4.17.13
+    peerDependenciesMeta:
+      '@types/express':
+        optional: true
+
+  http-proxy-middleware@3.0.5:
+    resolution: {integrity: sha512-GLZZm1X38BPY4lkXA01jhwxvDoOkkXqjgVyUzVxiEK4iuRu03PZoYHhHRwxnfhQMDuaxi3vVri0YgSro/1oWqg==}
+    engines: {node: ^14.15.0 || ^16.10.0 || >=18.0.0}
+
+  http-proxy@1.18.1:
+    resolution: {integrity: sha512-7mz/721AbnJwIVbnaSv1Cz3Am0ZLT/UBwkC92VlxhXv/k/BBQfM2fXElQNC27BVGr0uwUpplYPQM9LnaBMR5NQ==}
+    engines: {node: '>=8.0.0'}
+
   http-shutdown@1.2.2:
     resolution: {integrity: sha512-S9wWkJ/VSY9/k4qcjG318bqJNruzE4HySUhFYknwmu6LBP97KLLfwNf+n4V1BHurvFNkSKLFnK/RsuUnRTf9Vw==}
     engines: {iojs: '>= 1.0.0', node: '>= 0.12.0'}
@@ -10622,6 +12388,10 @@ packages:
     engines: {node: '>=14'}
     hasBin: true
 
+  hyperdyperid@1.2.0:
+    resolution: {integrity: sha512-Y93lCzHYgGWdrJ66yIktxiaGULYc6oGiABxhcO5AufBeOyoIdZF7bIfLaOrbM0iGIOXQQgxxRrFEnb+Y6w1n4A==}
+    engines: {node: '>=10.18'}
+
   iconv-lite@0.4.24:
     resolution: {integrity: sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==}
     engines: {node: '>=0.10.0'}
@@ -10634,6 +12404,12 @@ packages:
     resolution: {integrity: sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==}
     engines: {node: '>=0.10.0'}
 
+  icss-utils@5.1.0:
+    resolution: {integrity: sha512-soFhflCVWLfRNOPU3iv5Z9VUdT44xFRbzjLsEzSr5AQmgqPMTHdU3PMT1Cf1ssx8fLNJDA1juftYl+PUcv3MqA==}
+    engines: {node: ^10 || ^12 || >= 14}
+    peerDependencies:
+      postcss: ^8.1.0
+
   ieee754@1.2.1:
     resolution: {integrity: sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==}
 
@@ -10641,6 +12417,10 @@ packages:
     resolution: {integrity: sha512-yemi4pMf51WKT7khInJqAvsIGzoqYXblnsz0ql8tM+yi1EKYTY1evX4NAbJrLL/Aanr2HyZeluqU+Oi7MGHokw==}
     engines: {node: ^12.13.0 || ^14.15.0 || >=16.0.0}
 
+  ignore-walk@7.0.0:
+    resolution: {integrity: sha512-T4gbf83A4NH95zvhVYZc+qWocBBGlpzUXLPGurJggw/WIOwicfXJChLDP/iBZnN5WqROSu5Bm3hhle4z8a8YGQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   ignore@5.3.1:
     resolution: {integrity: sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==}
     engines: {node: '>= 4'}
@@ -10659,10 +12439,18 @@ packages:
   image-q@4.0.0:
     resolution: {integrity: sha512-PfJGVgIfKQJuq3s0tTDOKtztksibuUEbJQIYT3by6wctQo+Rdlh7ef4evJ5NCdxY4CfMbvFkocEwbl4BF8RlJw==}
 
+  image-size@0.5.5:
+    resolution: {integrity: sha512-6TDAlDPZxUFCv+fuOkIoXT/V/f3Qbq8e37p+YOiYrUv3v9cc3/6x78VdfPgFVaB9dZYeLUfKgHRebpkm/oP2VQ==}
+    engines: {node: '>=0.10.0'}
+    hasBin: true
+
   image-type@5.2.0:
     resolution: {integrity: sha512-f0+6qHeGfyEh1HhFGPUWZb+Dqqm6raKeeAR6Opt01wBBIQL32/1wpZkPQm8gcliB/Ws6oiX2ofFYXB57+CV0iQ==}
     engines: {node: '>=14.16'}
 
+  immutable@5.1.3:
+    resolution: {integrity: sha512-+chQdDfvscSF1SJqv2gn4SRO2ZyS3xL3r7IW/wWEEzrzLisnOlKiQu5ytC/BVNcS15C39WT2Hg/bjKjDMcu+zg==}
+
   import-fresh@3.3.1:
     resolution: {integrity: sha512-TR3KfrTZTYLPB6jUjfx6MF9WcWrHL9su5TObK4ZkYgBdWKPOFoSoQIdEuTuR82pmtxH2spWG9h6etwfr1pLBqQ==}
     engines: {node: '>=6'}
@@ -10716,6 +12504,10 @@ packages:
     resolution: {integrity: sha512-QQnnxNyfvmHFIsj7gkPcYymR8Jdw/o7mp5ZFihxn6h8Ci6fh3Dx4E1gPjpQEpIuPo9XVNY/ZUwh4BPMjGyL01g==}
     engines: {node: ^14.17.0 || ^16.13.0 || >=18.0.0}
 
+  ini@5.0.0:
+    resolution: {integrity: sha512-+N0ngpO3e7cRUWOJAS7qw0IZIVc6XPrW4MlFBdD066F2L4k1L6ker3hLqSq7iXxU5tgS4WGkIUElWn5vogAEnw==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   inline-style-parser@0.2.4:
     resolution: {integrity: sha512-0aO8FkhNZlj/ZIbNi7Lxxr12obT7cL1moPfE4tg1LkX7LlLfC6DeX4l2ZEud1ukP9jNQyNnfzQVqwbwmAATY4Q==}
 
@@ -10739,10 +12531,18 @@ packages:
     resolution: {integrity: sha512-2YZsvl7jopIa1gaePkeMtd9rAcSjOOjPtpcLlOeusyO+XH2SK5ZcT+UCrElPP+WVIInh2TzeI4XW9ENaSLVVHA==}
     engines: {node: '>=12.22.0'}
 
+  ip-address@9.0.5:
+    resolution: {integrity: sha512-zHtQzGojZXTwZTHQqra+ETKd4Sn3vgi7uBmlPoXVWZqYvuKmtI0l/VZTjqGmJY9x88GGOaZ9+G9ES8hC4T4X8g==}
+    engines: {node: '>= 12'}
+
   ipaddr.js@1.9.1:
     resolution: {integrity: sha512-0KI/607xoxSToH7GjN1FfSbLoU0+btTicjsQSWQlh/hZykN8KpmMf7uYwPW3R+akZ6R/w18ZlXSHBYXiYUPO3g==}
     engines: {node: '>= 0.10'}
 
+  ipaddr.js@2.2.0:
+    resolution: {integrity: sha512-Ag3wB2o37wslZS19hZqorUnrnzSkpOVy+IiiDEiTqNubEYpYuHWIf6K4psgN2ZWKExS4xhVCrRVfb/wfW8fWJA==}
+    engines: {node: '>= 10'}
+
   iron-webcrypto@1.2.1:
     resolution: {integrity: sha512-feOM6FaSr6rEABp/eDfVseKyTMDt+KGpeB35SkVn9Tyn0CqvVsY3EwI0v5i8nMHyJnzCIQf7nsy3p41TPkJZhg==}
 
@@ -10802,6 +12602,10 @@ packages:
     resolution: {integrity: sha512-Dd+Lb2/zvk9SKy1TGCt1wFJFo/MWBPMX5x7KcvLajWTGuomczdQX61PvY5yK6SVACwpoexWo81IfFyoKY2QnTA==}
     engines: {node: '>= 0.4'}
 
+  is-core-module@2.16.1:
+    resolution: {integrity: sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w==}
+    engines: {node: '>= 0.4'}
+
   is-data-view@1.0.1:
     resolution: {integrity: sha512-AHkaJrsUVW6wq6JS8y3JnM/GJF/9cf+k20+iDzlSaJrinEo5+7vRiteOSwBhHRiAyQATN1AmY4hwzxJKPmYf+w==}
     engines: {node: '>= 0.4'}
@@ -10883,6 +12687,10 @@ packages:
     resolution: {integrity: sha512-5KoIu2Ngpyek75jXodFvnafB6DJgr3u8uuK0LEZJjrU19DrMD3EVERaR8sjz8CCGgpZvxPl9SuE1GMVPFHx1mw==}
     engines: {node: '>= 0.4'}
 
+  is-network-error@1.1.0:
+    resolution: {integrity: sha512-tUdRRAnhT+OtCZR/LxZelH/C7QtjtFrTu5tXCA8pl55eTUElUHT+GPYV8MBMBvea/j+NxQqVt3LbWMRir7Gx9g==}
+    engines: {node: '>=16'}
+
   is-node-process@1.2.0:
     resolution: {integrity: sha512-Vg4o6/fqPxIjtxgUH5QLJhwZ7gW5diGCVlXpuUfELC62CuxM1iHcRe51f2W1FDy04Ai4KJkagKjx3XaqyfRKXw==}
 
@@ -10902,6 +12710,10 @@ packages:
     resolution: {integrity: sha512-lJJV/5dYS+RcL8uQdBDW9c9uWFLLBNRyFhnAKXw5tVqLlKZ4RMGZKv+YQ/IA3OhD+RpbJa1LLFM1FQPGyIXvOA==}
     engines: {node: '>=12'}
 
+  is-plain-obj@3.0.0:
+    resolution: {integrity: sha512-gwsOE28k+23GP1B6vFl1oVh/WOzmawBrKwo5Ev6wMKzPkaXaCDIQKzLnvsA42DRlbVTWorkgTKIviAKCWkfUwA==}
+    engines: {node: '>=10'}
+
   is-plain-obj@4.1.0:
     resolution: {integrity: sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg==}
     engines: {node: '>=12'}
@@ -10910,6 +12722,10 @@ packages:
     resolution: {integrity: sha512-h5PpgXkWitc38BBMYawTYMWJHFZJVnBquFE57xFpjB8pJFiF6gZ+bU+WyI/yqXiFR5mdLsgYNaPe8uao6Uv9Og==}
     engines: {node: '>=0.10.0'}
 
+  is-plain-object@5.0.0:
+    resolution: {integrity: sha512-VRSzKkbMm5jMDoKLbltAkFQ5Qr7VDiTFGXxYFXXowVj387GeGNOCsOH6Msy00SGZ3Fp84b1Naa1psqgcCIEP5Q==}
+    engines: {node: '>=0.10.0'}
+
   is-potential-custom-element-name@1.0.1:
     resolution: {integrity: sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ==}
 
@@ -10973,6 +12789,9 @@ packages:
   is-weakset@2.0.2:
     resolution: {integrity: sha512-t2yVvttHkQktwnNNmBQ98AhENLdPUTDTE21uPqAQ0ARwQfGeQKRVS0NNurH7bTf7RrvcVn1OOge45CnBeHCSmg==}
 
+  is-what@3.14.1:
+    resolution: {integrity: sha512-sNxgpk9793nzSs7bA6JQJGeIuRBQhAaNGG77kzYQgMkrID+lS6SlK07K5LaptscDlSaIgH+GPFzf+d75FVxozA==}
+
   is-what@4.1.16:
     resolution: {integrity: sha512-ZhMwEosbFJkA0YhFnNDgTM4ZxDRsS6HqTo7qsZM08fehyRYIYa0yHu5R6mgo1n/8MgaPBXiPimPD77baVFYg+A==}
     engines: {node: '>=12.13'}
@@ -11002,6 +12821,10 @@ packages:
   isexe@2.0.0:
     resolution: {integrity: sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw==}
 
+  isexe@3.1.1:
+    resolution: {integrity: sha512-LpB/54B+/2J5hqQ7imZHfdU31OlgQqx7ZicVlkm9kzg9/w8GKLEcFfJl/t7DCEDueOyBAD6zCCwTO6Fzs0NoEQ==}
+    engines: {node: '>=16'}
+
   isobject@3.0.1:
     resolution: {integrity: sha512-WhB9zCku7EGTj/HQQRz5aUQEUeoQZH2bWcltRErOpymJ4boYE6wL9Tbr23krRPSZ+C5zqNSrSw+Cc7sZZ4b7vg==}
     engines: {node: '>=0.10.0'}
@@ -11239,6 +13062,9 @@ packages:
     resolution: {integrity: sha512-wpxZs9NoxZaJESJGIZTyDEaYpl0FKSA+FB9aJiyemKhMwkxQg63h4T1KJgUGHpTqPDNRcmmYLugrRjJlBtWvRA==}
     hasBin: true
 
+  jsbn@1.1.0:
+    resolution: {integrity: sha512-4bYVV3aAMtDTTu4+xsDYa6sy9GyJ69/amsu9sYF2zqjiEoZA5xJi3BrfX3uY+/IekIu7MwdObdbDWpoZdBv3/A==}
+
   jscodeshift@17.1.1:
     resolution: {integrity: sha512-4vq5B1sD37aa9qed3zWq2XQPun5XjxebIv+Folr57lt8B4HLGDHEz1UG7pfcxzSaelzPbcY7yZSs033/S0i6wQ==}
     engines: {node: '>=16'}
@@ -11281,6 +13107,10 @@ packages:
   json-parse-even-better-errors@2.3.1:
     resolution: {integrity: sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w==}
 
+  json-parse-even-better-errors@4.0.0:
+    resolution: {integrity: sha512-lR4MXjGNgkJc7tkQ97kb2nuEMnNCyU//XYVH0MKTGcXEiSudQ5MKGKen3C5QubYy0vmq+JGitUg92uuywGEwIA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   json-schema-ref-resolver@1.0.1:
     resolution: {integrity: sha512-EJAj1pgHc1hxF6vo2Z3s69fMjO1INq6eGHXZ8Z6wCQeldCuwxGK9Sxf4/cScGn3FZubCVUehfWtcDM/PLteCQw==}
 
@@ -11329,6 +13159,10 @@ packages:
   jsonify@0.0.1:
     resolution: {integrity: sha512-2/Ki0GcmuqSrgFyelQq9M05y7PS0mEwuIzrf3f1fPqkVDVRvZrPZtVSMHxdgo8Aq0sxAOb/cr2aqqA3LeWHVPg==}
 
+  jsonparse@1.3.1:
+    resolution: {integrity: sha512-POQXvpdL69+CluYsillJ7SUhKvytYjW9vG/GKpnf+xP8UWgYEM/RaMzHHofbALDiKbbP1W8UEYmgGl39WkPZsg==}
+    engines: {'0': node >= 0.2.0}
+
   jsonpointer@5.0.1:
     resolution: {integrity: sha512-p/nXbhSEcu3pZRdkW1OfJhpsVtW1gd4Wa1fnQc9YLiTfAjn0312eMKimbdIQzuZl9aa9xUGaRlP9T/CJE/ditQ==}
     engines: {node: '>=0.10.0'}
@@ -11343,6 +13177,9 @@ packages:
   jws@4.0.0:
     resolution: {integrity: sha512-KDncfTmOZoOMTFG4mBlG0qUIOlc03fmzH+ru6RgYVZhPkyiy/92Owlt/8UEN+a4TXR1FQetfIpJE8ApdvdVxTg==}
 
+  karma-source-map-support@1.4.0:
+    resolution: {integrity: sha512-RsBECncGO17KAoJCYXjv+ckIz+Ii9NCi+9enk+rq6XC81ezYkb4/RHE6CTXdA7IOJqoF3wcaLfVG0CPmE5ca6A==}
+
   keygrip@1.1.0:
     resolution: {integrity: sha512-iYSchDJ+liQ8iwbSI2QqsQOvqv58eJCEanyJPJi+Khyu8smkcKSFUCbPwzFcL7YVtZ6eONjqRX/38caJ7QjRAQ==}
     engines: {node: '>= 0.6'}
@@ -11581,6 +13418,24 @@ packages:
     resolution: {integrity: sha512-b94GiNHQNy6JNTrt5w6zNyffMrNkXZb3KTkCZJb2V1xaEGCk093vkZ2jk3tpaeP33/OiXC+WvK9AxUebnf5nbw==}
     engines: {node: '>= 0.6.3'}
 
+  less-loader@12.2.0:
+    resolution: {integrity: sha512-MYUxjSQSBUQmowc0l5nPieOYwMzGPUaTzB6inNW/bdPEG9zOL3eAAD1Qw5ZxSPk7we5dMojHwNODYMV1hq4EVg==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      '@rspack/core': 0.x || 1.x
+      less: ^3.5.0 || ^4.0.0
+      webpack: ^5.0.0
+    peerDependenciesMeta:
+      '@rspack/core':
+        optional: true
+      webpack:
+        optional: true
+
+  less@4.2.2:
+    resolution: {integrity: sha512-tkuLHQlvWUTeQ3doAqnHbNn8T6WX1KA8yvbKG9x4VtKtIjHsVKQZCH11zRgAfbDAXC2UNIg/K9BYAAcEzUIrNg==}
+    engines: {node: '>=6'}
+    hasBin: true
+
   leven@3.1.0:
     resolution: {integrity: sha512-qsda+H8jTaUaN/x5vzW2rzc+8Rw4TAQ/4KjB46IwK5VH+IlVeeeje/EoZRpiXvIqjFgK84QffqPztGI3VBLG1A==}
     engines: {node: '>=6'}
@@ -11589,6 +13444,14 @@ packages:
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     engines: {node: '>= 0.8.0'}
 
+  license-webpack-plugin@4.0.2:
+    resolution: {integrity: sha512-771TFWFD70G1wLTC4oU2Cw4qvtmNrIw+wRvBtn+okgHl7slJVi7zfNcdmqDL72BojM30VNJ2UHylr1o77U37Jw==}
+    peerDependencies:
+      webpack: '*'
+    peerDependenciesMeta:
+      webpack:
+        optional: true
+
   light-my-request@6.0.0:
     resolution: {integrity: sha512-kFkFXrmKCL0EEeOmJybMH5amWFd+AFvlvMlvFTRxCUwbhfapZqDmeLMPoWihntnYY6JpoQDE9k+vOzObF1fDqg==}
 
@@ -11620,6 +13483,14 @@ packages:
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     engines: {node: '>=18.0.0'}
 
+  listr2@8.2.5:
+    resolution: {integrity: sha512-iyAZCeyD+c1gPyE9qpFu8af0Y+MRtmKOncdGoA2S5EY8iFq99dmmvkNnHiWo+pj0s7yH7l3KPIgee77tKpXPWQ==}
+    engines: {node: '>=18.0.0'}
+
+  lmdb@3.2.6:
+    resolution: {integrity: sha512-SuHqzPl7mYStna8WRotY8XX/EUZBjjv3QyKIByeCLFfC9uXT/OIHByEcA07PzbMfQAM0KYJtLgtpMRlIe5dErQ==}
+    hasBin: true
+
   load-bmfont@1.4.2:
     resolution: {integrity: sha512-qElWkmjW9Oq1F9EI5Gt7aD9zcdHb9spJCW1L/dmPf7KzCCEJxq8nhHz5eCgI9aMf7vrG/wyaCqdsI+Iy9ZTlog==}
 
@@ -11631,6 +13502,14 @@ packages:
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     engines: {node: '>=6.11.5'}
 
+  loader-utils@2.0.4:
+    resolution: {integrity: sha512-xXqpXoINfFhgua9xiqD8fPFHgkoq1mmmpE92WlDbm9rNRd/EbRb+Gqf908T2DMfuHjjJlksiK2RbHVOdD/MqSw==}
+    engines: {node: '>=8.9.0'}
+
+  loader-utils@3.3.1:
+    resolution: {integrity: sha512-FMJTLMXfCLMLfJxcX9PFqX5qD88Z5MRGaZCVzfuqeZSPsyiBzs+pahDQjbIWz2QIzPZz0NX9Zy4FX3lmK6YHIg==}
+    engines: {node: '>= 12.13.0'}
+
   local-pkg@0.5.1:
     resolution: {integrity: sha512-9rrA30MRRP3gBD3HTGnC6cDFpaE1kVDWxWgqWJUN0RvDNAo+Nz/9GxB+nHOH0ifbVFy0hSA1V6vFDvnx54lTEQ==}
     engines: {node: '>=14'}
@@ -11650,9 +13529,16 @@ packages:
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     engines: {node: '>=10'}
 
+  locate-path@7.2.0:
+    resolution: {integrity: sha512-gvVijfZvn7R+2qyPX8mAuKcFGDf6Nc61GdvGafQsHL0sBIxfKzA+usWn4GFC/bk+QdwPUD4kWFJLhElipq+0VA==}
+    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
+
   lodash.camelcase@4.3.0:
     resolution: {integrity: sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA==}
 
+  lodash.debounce@4.0.8:
+    resolution: {integrity: sha512-FT1yDzDYEoYWhnSGnpE/4Kj1fLZkDFyqRb7fNt6FdYOSxlUWAtp42Eh6Wb0rGIv/m9Bgo7x4GhQbm5Ys4SG5ow==}
+
   lodash.defaults@4.2.0:
     resolution: {integrity: sha512-qjxPLHd3r5DnsdGacqOMU6pb/avJzdh9tFX2ymgoZE27BmjXrNy/y4LoaiTeAb+O3gL8AfpJGtqfX/ae2leYYQ==}
 
@@ -11758,6 +13644,10 @@ packages:
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+  make-fetch-happen@14.0.3:
+    resolution: {integrity: sha512-QMjGbFTP0blj97EeidG5hk/QhKQ3T4ICckQGLgz38QF7Vgbk6e6FTARN8KhKxyBbWn8R0HU+bnw8aSoFPD4qtQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   makeerror@1.0.12:
     resolution: {integrity: sha512-JmqCvUhmt43madlpFzG4BQzG2Z3m6tvQDNKdClZnO3VbIudJYmxsT0FNJMeiB2+JTSlTQTSbU8QdesVmwJcmLg==}
 
@@ -11815,6 +13705,10 @@ packages:
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     engines: {node: '>= 4.0.0'}
 
+  memfs@4.17.2:
+    resolution: {integrity: sha512-NgYhCOWgovOXSzvYgUW0LQ7Qy72rWQMGGFJDoWg4G30RHd3z77VbYdtJ4fembJXBy8pMIUA31XNAupobOQlwdg==}
+    engines: {node: '>= 4.0.0'}
+
   merge-descriptors@1.0.3:
     resolution: {integrity: sha512-gaNvAS7TZ897/rVaZ0nMtAyxNyi/pdbjbAwUpFQpN70GqnVfOiXpeUUMKRBmzXaSQ8DdTX4/0ms62r2K+hE6mQ==}
 
@@ -11959,6 +13853,15 @@ packages:
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     engines: {node: '>=4'}
 
+  mini-css-extract-plugin@2.9.2:
+    resolution: {integrity: sha512-GJuACcS//jtq4kCtd5ii/M0SZf7OZRH+BxdqXZHaJfb8TJiVl+NgQRPwiYt2EuqeSkNydn/7vP+bcE27C5mb9w==}
+    engines: {node: '>= 12.13.0'}
+    peerDependencies:
+      webpack: ^5.0.0
+
+  minimalistic-assert@1.0.1:
+    resolution: {integrity: sha512-UtJcAD4yEaGtjPezWuO9wC4nwUnVH/8/Im3yEHQP4b67cXlD/Qr9hdITCU1xDbSEXg2XKNaP8jsReV7vQd00/A==}
+
   minimatch@3.1.2:
     resolution: {integrity: sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==}
 
@@ -11985,6 +13888,26 @@ packages:
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     resolution: {integrity: sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==}
 
+  minipass-collect@2.0.1:
+    resolution: {integrity: sha512-D7V8PO9oaz7PWGLbCACuI1qEOsq7UKfLotx/C0Aet43fCUB/wfQ7DYeq2oR/svFJGYDHPr38SHATeaj/ZoKHKw==}
+    engines: {node: '>=16 || 14 >=14.17'}
+
+  minipass-fetch@4.0.1:
+    resolution: {integrity: sha512-j7U11C5HXigVuutxebFadoYBbd7VSdZWggSe64NVdvWNBqGAiXPL2QVCehjmw7lY1oF9gOllYbORh+hiNgfPgQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  minipass-flush@1.0.5:
+    resolution: {integrity: sha512-JmQSYYpPUqX5Jyn1mXaRwOda1uQ8HP5KAT/oDSLCzt1BYRhQU0/hDtsB1ufZfEEzMZ9aAVmsBw8+FWsIXlClWw==}
+    engines: {node: '>= 8'}
+
+  minipass-pipeline@1.2.4:
+    resolution: {integrity: sha512-xuIq7cIOt09RPRJ19gdi4b+RiNvDFYe5JH+ggNvBqGqpQXcru3PcRmOZuHBKWK1Txf9+cQ+HMVN4d6z46LZP7A==}
+    engines: {node: '>=8'}
+
+  minipass-sized@1.0.3:
+    resolution: {integrity: sha512-MbkQQ2CTiBMlA2Dm/5cY+9SWFEN8pzzOXi6rlM5Xxq0Yqbda5ZQy9sU75a673FE9ZK0Zsbr6Y5iP6u9nktfg2g==}
+    engines: {node: '>=8'}
+
   minipass@3.3.6:
     resolution: {integrity: sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==}
     engines: {node: '>=8'}
@@ -12062,6 +13985,10 @@ packages:
     resolution: {integrity: sha512-eu38+hdgojoyq63s+yTpN4XMBdt5l8HhMhc4VKLO9KM5caLIBvUm4thi7fFaxyTmCKeNnXZ5pAlBwCUnhA09uw==}
     engines: {node: '>=10'}
 
+  mrmime@2.0.1:
+    resolution: {integrity: sha512-Y3wQdFg2Va6etvQ5I82yUhGdsKrcYox6p7FfL1LbK2J4V01F9TGlepTIhnK24t7koZibmg82KGglhA1XK5IsLQ==}
+    engines: {node: '>=10'}
+
   ms@2.0.0:
     resolution: {integrity: sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==}
 
@@ -12071,6 +13998,13 @@ packages:
   ms@2.1.3:
     resolution: {integrity: sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==}
 
+  msgpackr-extract@3.0.3:
+    resolution: {integrity: sha512-P0efT1C9jIdVRefqjzOQ9Xml57zpOXnIuS+csaB4MdZbTdmGDLo8XhzBG1N7aO11gKDDkJvBLULeFTo46wwreA==}
+    hasBin: true
+
+  msgpackr@1.11.4:
+    resolution: {integrity: sha512-uaff7RG9VIC4jacFW9xzL3jc0iM32DNHe4jYVycBcjUePT/Klnfj7pqtWJt9khvDFizmjN2TlYniYmSS2LIaZg==}
+
   msw@2.6.4:
     resolution: {integrity: sha512-Pm4LmWQeytDsNCR+A7gt39XAdtH6zQb6jnIKRig0FlvYOn8eksn3s1nXxUfz5KYUjbckof7Z4p2ewzgffPoCbg==}
     engines: {node: '>=18'}
@@ -12095,6 +14029,10 @@ packages:
     resolution: {integrity: sha512-WeSGziVj6+Z2/MwQo3GvqzgR+9Uc+qt8SwHKh3gvNPiISKfsMfG4SvCOFYlxxgkXt7yIV2i1yczehm0EOKIxIg==}
     engines: {node: '>= 6.0.0'}
 
+  multicast-dns@7.2.5:
+    resolution: {integrity: sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg==}
+    hasBin: true
+
   mustache@4.2.0:
     resolution: {integrity: sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==}
     hasBin: true
@@ -12134,10 +14072,19 @@ packages:
   natural-compare@1.4.0:
     resolution: {integrity: sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==}
 
+  needle@3.3.1:
+    resolution: {integrity: sha512-6k0YULvhpw+RoLNiQCRKOl09Rv1dPLr8hHnVjHqdolKwDrdNyk+Hmrthi4lIGPPz3r39dLx0hsF5s40sZ3Us4Q==}
+    engines: {node: '>= 4.4.x'}
+    hasBin: true
+
   negotiator@0.6.3:
     resolution: {integrity: sha512-+EUsqGPLsM+j/zdChZjsnX51g4XrHFOIXwfnCVPGlQk/k5giakcKsuxCObBRu6DSm9opw/O6slWbJdghQM4bBg==}
     engines: {node: '>= 0.6'}
 
+  negotiator@0.6.4:
+    resolution: {integrity: sha512-myRT3DiWPHqho5PrJaIRyaMv2kgYf0mUVgBNOYMuCH5Ki1yEiQaf/ZJuQ62nvpc44wL5WDbTX7yGJi1Neevw8w==}
+    engines: {node: '>= 0.6'}
+
   negotiator@1.0.0:
     resolution: {integrity: sha512-8Ofs/AUQh8MaEcrlq5xOX0CQ9ypTF5dl78mjlMNfOK08fzpgTHQRQPBxcPlEtIw0yRpws+Zo/3r+5WRby7u3Gg==}
     engines: {node: '>= 0.6'}
@@ -12245,6 +14192,9 @@ packages:
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+  node-addon-api@6.1.0:
+    resolution: {integrity: sha512-+eawOlIgy680F0kBzPUNFhMZGtJ1YmqM6l4+Crf4IkImjYrO/mqPwRMh352g23uIaQKFItcQ64I7KMaJxHgAVA==}
+
   node-addon-api@7.0.0:
     resolution: {integrity: sha512-vgbBJTS4m5/KkE16t5Ly0WW9hz46swAstv0hYYwMtbG7AznRhNyfLRe8HZAiWIpcHzoO7HxhLuBQj9rJ/Ho0ZA==}
 
@@ -12271,10 +14221,19 @@ packages:
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     engines: {node: '>= 6.13.0'}
 
+  node-gyp-build-optional-packages@5.2.2:
+    resolution: {integrity: sha512-s+w+rBWnpTMwSFbaE0UXsRlg7hU4FjekKU4eyAih5T8nJuNZT1nNsskXpxmeqSK9UzkBl6UgRlnKc8hz8IEqOw==}
+    hasBin: true
+
   node-gyp-build@4.6.1:
     resolution: {integrity: sha512-24vnklJmyRS8ViBNI8KbtK/r/DmXQMRiOMXTNz2nrTnAYUwjmEEbnnpB/+kt+yWRv73bPsSPRFddrcIbAxSiMQ==}
     hasBin: true
 
+  node-gyp@11.2.0:
+    resolution: {integrity: sha512-T0S1zqskVUSxcsSTkAsLc7xCycrRYmtDHadDinzocrThjyQCn5kMlEBSj6H4qDbgsIOSLmmlRIeb0lZXj+UArA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+    hasBin: true
+
   node-int64@0.4.0:
     resolution: {integrity: sha512-O5lz91xSOeoXP6DulyHfllpq+Eg00MWitZIbtPfoSEvqIHdl5gfcY6hYzDWnj0qD5tz52PI08u9qUvSVeUBeHw==}
 
@@ -12284,6 +14243,9 @@ packages:
   node-releases@2.0.18:
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+  node-releases@2.0.19:
+    resolution: {integrity: sha512-xxOWJsBKtzAq7DY0J+DTzuz58K8e7sJbdgwkbMWQe8UYB6ekmsQ45q0M/tJDsGaZmbC+l7n57UV8Hl5tHxO9uw==}
+
   nopt@5.0.0:
     resolution: {integrity: sha512-Tbj67rffqceeLpcRXrT7vKAN8CwfPeIBgM7E6iBkmKLV7bEMwpGgYLGv0jACUsECaa/vuxP0IjEont6umdMgtQ==}
     engines: {node: '>=6'}
@@ -12311,15 +14273,43 @@ packages:
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     engines: {node: ^12.13.0 || ^14.15.0 || >=16.0.0}
 
+  npm-bundled@4.0.0:
+    resolution: {integrity: sha512-IxaQZDMsqfQ2Lz37VvyyEtKLe8FsRZuysmedy/N06TU1RyVppYKXrO4xIhR0F+7ubIBox6Q7nir6fQI3ej39iA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  npm-install-checks@7.1.1:
+    resolution: {integrity: sha512-u6DCwbow5ynAX5BdiHQ9qvexme4U3qHW3MWe5NqH+NeBm0LbiH6zvGjNNew1fY+AZZUtVHbOPF3j7mJxbUzpXg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   npm-normalize-package-bin@2.0.0:
     resolution: {integrity: sha512-awzfKUO7v0FscrSpRoogyNm0sajikhBWpU0QMrW09AMi9n1PoKU6WaIqUzuJSQnpciZZmJ/jMZ2Egfmb/9LiWQ==}
     engines: {node: ^12.13.0 || ^14.15.0 || >=16.0.0}
 
+  npm-normalize-package-bin@4.0.0:
+    resolution: {integrity: sha512-TZKxPvItzai9kN9H/TkmCtx/ZN/hvr3vUycjlfmH0ootY9yFBzNOpiXAdIn1Iteqsvk4lQn6B5PTrt+n6h8k/w==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  npm-package-arg@12.0.2:
+    resolution: {integrity: sha512-f1NpFjNI9O4VbKMOlA5QoBq/vSQPORHcTZ2feJpFkTHJ9eQkdlmZEKSjcAhxTGInC7RlEyScT9ui67NaOsjFWA==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   npm-packlist@5.1.3:
     resolution: {integrity: sha512-263/0NGrn32YFYi4J533qzrQ/krmmrWwhKkzwTuM4f/07ug51odoaNjUexxO4vxlzURHcmYMH1QjvHjsNDKLVg==}
     engines: {node: ^12.13.0 || ^14.15.0 || >=16.0.0}
     hasBin: true
 
+  npm-packlist@9.0.0:
+    resolution: {integrity: sha512-8qSayfmHJQTx3nJWYbbUmflpyarbLMBc6LCAjYsiGtXxDB68HaZpb8re6zeaLGxZzDuMdhsg70jryJe+RrItVQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  npm-pick-manifest@10.0.0:
+    resolution: {integrity: sha512-r4fFa4FqYY8xaM7fHecQ9Z2nE9hgNfJR+EmoKv0+chvzWkBcORX3r0FpTByP+CbOVJDladMXnPQGVN8PBLGuTQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  npm-registry-fetch@18.0.2:
+    resolution: {integrity: sha512-LeVMZBBVy+oQb5R6FDV9OlJCcWDU+al10oKpe+nsvcHnG24Z3uM3SvJYKfGJlfGjVU8v9liejCrUR/M5HO5NEQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   npm-run-path@4.0.1:
     resolution: {integrity: sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==}
     engines: {node: '>=8'}
@@ -12423,6 +14413,9 @@ packages:
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     engines: {node: '>= 0.4'}
 
+  obuf@1.1.2:
+    resolution: {integrity: sha512-PX1wu0AmAdPqOL1mWhqmlOd8kOIZQwGZw6rh7uby9fTc5lhaOWFLX3I6R1hrF9k3zUY40e6igsLGkDXK92LJNg==}
+
   ofetch@1.4.1:
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@@ -12440,6 +14433,10 @@ packages:
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     engines: {node: '>= 0.8'}
 
+  on-headers@1.0.2:
+    resolution: {integrity: sha512-pZAE+FJLoyITytdqK0U5s+FIpjN0JP3OzFi/u8Rx+EV5/W+JTWGXG8xFzevE7AjBfDqHv/8vL8qQsIhHnqRkrA==}
+    engines: {node: '>= 0.8'}
+
   once@1.4.0:
     resolution: {integrity: sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==}
 
@@ -12503,6 +14500,9 @@ packages:
     resolution: {integrity: sha512-5b6Y85tPxZZ7QytO+BQzysW31HJku27cRIlkbAXaNx+BdcVi+LlRFmVXzeF6a7JCwJpyw5c4b+YSVImQIrBpuQ==}
     engines: {node: '>=10'}
 
+  ordered-binary@1.6.0:
+    resolution: {integrity: sha512-IQh2aMfMIDbPjI/8a3Edr+PiOpcsB7yo8NdW7aHWVaoR/pcDldunMvnnwbk/auPGqmKeAdxtZl7MHX/QmPwhvQ==}
+
   os-tmpdir@1.0.2:
     resolution: {integrity: sha512-D2FR03Vir7FIu45XBY20mTb+/ZSWB00sjU9jdQXt83gDrI4Ztz5Fs7/yy74g2N5SVQY4xY1qDr4rNddwYRVX0g==}
     engines: {node: '>=0.10.0'}
@@ -12529,6 +14529,10 @@ packages:
     resolution: {integrity: sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ==}
     engines: {node: '>=10'}
 
+  p-limit@4.0.0:
+    resolution: {integrity: sha512-5b0R4txpzjPWVw/cXXUResoD4hb6U/x9BH08L7nw+GN1sezDzPdxeRvpc9c433fZhBan/wusjbCsqwqm4EIBIQ==}
+    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
+
   p-locate@3.0.0:
     resolution: {integrity: sha512-x+12w/To+4GFfgJhBEpiDcLozRJGegY+Ei7/z0tSLkMmxGZNybVMSfWj9aJn8Z5Fc7dBUNJOOVgPv2H7IwulSQ==}
     engines: {node: '>=6'}
@@ -12541,10 +14545,18 @@ packages:
     resolution: {integrity: sha512-LaNjtRWUBY++zB5nE/NwcaoMylSPk+S+ZHNB1TzdbMJMny6dynpAGt7X/tl/QYq3TIeE6nxHppbo2LGymrG5Pw==}
     engines: {node: '>=10'}
 
+  p-locate@6.0.0:
+    resolution: {integrity: sha512-wPrq66Llhl7/4AGC6I+cqxT07LhXvWL08LNXz1fENOw0Ap4sRZZ/gZpTTJ5jpurzzzfS2W/Ge9BY3LgLjCShcw==}
+    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
+
   p-map@2.1.0:
     resolution: {integrity: sha512-y3b8Kpd8OAN444hxfBbFfj1FY/RjtTd8tzYwhUqNYXx0fXx2iX4maP4Qr6qhIKbQXI02wTLAda4fYUbDagTUFw==}
     engines: {node: '>=6'}
 
+  p-map@7.0.3:
+    resolution: {integrity: sha512-VkndIv2fIB99swvQoA65bm+fsmt6UNdGeIB0oxBs+WhAhdh08QA04JXpI7rbB9r08/nkbysKoya9rtDERYOYMA==}
+    engines: {node: '>=18'}
+
   p-queue@6.6.2:
     resolution: {integrity: sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==}
     engines: {node: '>=8'}
@@ -12553,6 +14565,10 @@ packages:
     resolution: {integrity: sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ==}
     engines: {node: '>=8'}
 
+  p-retry@6.2.1:
+    resolution: {integrity: sha512-hEt02O4hUct5wtwg4H4KcWgDdm+l1bOaEy/hWzd8xtXB9BqxTWBBhb+2ImAtH4Cv4rPjV76xN3Zumqk3k3AhhQ==}
+    engines: {node: '>=16.17'}
+
   p-timeout@3.2.0:
     resolution: {integrity: sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg==}
     engines: {node: '>=8'}
@@ -12570,6 +14586,11 @@ packages:
   package-manager-detector@0.2.2:
     resolution: {integrity: sha512-VgXbyrSNsml4eHWIvxxG/nTL4wgybMTXCV2Un/+yEc3aDKKU6nQBZjbeP3Pl3qm9Qg92X/1ng4ffvCeD/zwHgg==}
 
+  pacote@20.0.0:
+    resolution: {integrity: sha512-pRjC5UFwZCgx9kUFDVM9YEahv4guZ1nSLqwmWiLUnDbGsjs+U5w7z6Uc8HNR1a6x8qnu5y9xtGE6D1uAuYz+0A==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+    hasBin: true
+
   pako@1.0.11:
     resolution: {integrity: sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==}
 
@@ -12604,12 +14625,22 @@ packages:
     resolution: {integrity: sha512-rum1bPifK5SSar35Z6EKZuYPJx85pkNaFrxBK3mwdfSJ1/WKbYrjoW/zTPSjRRamfmVX1ACBIdFAO0VRErW/EA==}
     engines: {node: '>=18'}
 
+  parse-node-version@1.0.1:
+    resolution: {integrity: sha512-3YHlOa/JgH6Mnpr05jP9eDG254US9ek25LyIxZlDItp2iJtwyaXQb57lBYLdT3MowkUFYEV2XXNAYIPlESvJlA==}
+    engines: {node: '>= 0.10'}
+
   parse-path@7.0.0:
     resolution: {integrity: sha512-Euf9GG8WT9CdqwuWJGdf3RkUcTBArppHABkO7Lm8IzRQp0e2r/kkFnmhu4TSK30Wcu5rVAZLmfPKSBBi9tWFog==}
 
   parse-url@8.1.0:
     resolution: {integrity: sha512-xDvOoLU5XRrcOZvnI6b8zA6n9O9ejNk/GExuz1yBuWUGn9KA97GI6HTs6u02wKara1CeVmZhH+0TZFdWScR89w==}
 
+  parse5-html-rewriting-stream@7.0.0:
+    resolution: {integrity: sha512-mazCyGWkmCRWDI15Zp+UiCqMp/0dgEmkZRvhlsqqKYr4SsVm/TvnSpD9fCvqCA2zoWJcfRym846ejWBBHRiYEg==}
+
+  parse5-sax-parser@7.0.0:
+    resolution: {integrity: sha512-5A+v2SNsq8T6/mG3ahcz8ZtQ0OUFTatxPbeidoMB7tkJSGDY3tdfl4MHovtLQHkEn5CGxijNWRQHhRQ6IRpXKg==}
+
   parse5@7.1.2:
     resolution: {integrity: sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==}
 
@@ -12631,6 +14662,10 @@ packages:
     resolution: {integrity: sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w==}
     engines: {node: '>=8'}
 
+  path-exists@5.0.0:
+    resolution: {integrity: sha512-RjhtfwJOxzcFmNOi6ltcbcu4Iu+FL3zEj83dk4kAS+fVpTxXLO1b38RvJgT/0QwvV/L3aY9TAnyv0EOqW4GoMQ==}
+    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
+
   path-is-absolute@1.0.1:
     resolution: {integrity: sha512-AVbw3UJ2e9bq64vSaS9Am0fje1Pa8pbGqTTsmXfaIiMpnr5DlDhfJOuLj9Sf95ZPVDAUerDfEk88MPmPe7UCQg==}
     engines: {node: '>=0.10.0'}
@@ -12657,6 +14692,9 @@ packages:
   path-to-regexp@0.1.10:
     resolution: {integrity: sha512-7lf7qcQidTku0Gu3YDPc8DJ1q7OOucfa/BSsIwjuh56VU7katFvuM8hULfkwB3Fns/rsVF7PwPKVw1sl5KQS9w==}
 
+  path-to-regexp@0.1.12:
+    resolution: {integrity: sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==}
+
   path-to-regexp@3.3.0:
     resolution: {integrity: sha512-qyCH421YQPS2WFDxDjftfc1ZR5WKQzVzqsp4n9M2kQhVOo/ByahFoUNJfl58kOcEGfQ//7weFTDhm+ss8Ecxgw==}
 
@@ -12766,6 +14804,9 @@ packages:
     resolution: {integrity: sha512-saLsH7WeYYPiD25LDuLRRY/i+6HaPYr6G1OUlN39otzkSTxKnubR9RTxS3/Kk50s1g2JTgFwWQDQyplC5/SHZg==}
     engines: {node: '>= 6'}
 
+  piscina@4.8.0:
+    resolution: {integrity: sha512-EZJb+ZxDrQf3dihsUL7p42pjNyrNIFJCrRHPMgxu/svsj+P3xS3fuEWp7k2+rfsavfl1N0G29b1HGs7J0m8rZA==}
+
   pixelmatch@4.0.2:
     resolution: {integrity: sha512-J8B6xqiO37sU/gkcMglv6h5Jbd9xNER7aHzpfRdNmV4IbQBzBpe4l9XmbG+xPF/znacgu2jfEw+wHffaq/YkXA==}
     hasBin: true
@@ -12782,6 +14823,10 @@ packages:
     resolution: {integrity: sha512-HRDzbaKjC+AOWVXxAU/x54COGeIv9eb+6CkDSQoNTt4XyWoIJvuPsXizxu/Fr23EiekbtZwmh1IcIG/l/a10GQ==}
     engines: {node: '>=8'}
 
+  pkg-dir@7.0.0:
+    resolution: {integrity: sha512-Ie9z/WINcxxLp27BKOCHGde4ITq9UklYKDzVo1nhk5sqGEXU3FpkwP5GM2voTGJkGd9B3Otl+Q4uwSOeSUtOBA==}
+    engines: {node: '>=14.16'}
+
   pkg-types@1.2.1:
     resolution: {integrity: sha512-sQoqa8alT3nHjGuTjuKgOnvjo4cljkufdtLMnO2LBP/wRwuDlo1tkaEdMxCRhyGRPacv/ztlZgDPm2b7FAmEvw==}
 
@@ -12933,6 +14978,22 @@ packages:
       yaml:
         optional: true
 
+  postcss-loader@8.1.1:
+    resolution: {integrity: sha512-0IeqyAsG6tYiDRCYKQJLAmgQr47DX6N7sFSWvQxt6AcupX8DIdmykuk/o/tx0Lze3ErGHJEp5OSRxrelC6+NdQ==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      '@rspack/core': 0.x || 1.x
+      postcss: ^7.0.0 || ^8.0.1
+      webpack: ^5.0.0
+    peerDependenciesMeta:
+      '@rspack/core':
+        optional: true
+      webpack:
+        optional: true
+
+  postcss-media-query-parser@0.2.3:
+    resolution: {integrity: sha512-3sOlxmbKcSHMjlUXQZKQ06jOswE7oVkXPxmZdoB1r5l0q6gTFTQSHxNxOrCccElbW7dxNytifNEo8qidX2Vsig==}
+
   postcss-merge-longhand@7.0.4:
     resolution: {integrity: sha512-zer1KoZA54Q8RVHKOY5vMke0cCdNxMP3KBfDerjH/BYHh4nCIh+1Yy0t1pAEQF18ac/4z3OFclO+ZVH8azjR4A==}
     engines: {node: ^18.12.0 || ^20.9.0 || >=22.0}
@@ -12969,6 +15030,30 @@ packages:
     peerDependencies:
       postcss: ^8.4.31
 
+  postcss-modules-extract-imports@3.1.0:
+    resolution: {integrity: sha512-k3kNe0aNFQDAZGbin48pL2VNidTF0w4/eASDsxlyspobzU3wZQLOGj7L9gfRe0Jo9/4uud09DsjFNH7winGv8Q==}
+    engines: {node: ^10 || ^12 || >= 14}
+    peerDependencies:
+      postcss: ^8.1.0
+
+  postcss-modules-local-by-default@4.2.0:
+    resolution: {integrity: sha512-5kcJm/zk+GJDSfw+V/42fJ5fhjL5YbFDl8nVdXkJPLLW+Vf9mTD5Xe0wqIaDnLuL2U6cDNpTr+UQ+v2HWIBhzw==}
+    engines: {node: ^10 || ^12 || >= 14}
+    peerDependencies:
+      postcss: ^8.1.0
+
+  postcss-modules-scope@3.2.1:
+    resolution: {integrity: sha512-m9jZstCVaqGjTAuny8MdgE88scJnCiQSlSrOWcTQgM2t32UBe+MUmFSO5t7VMSfAf/FJKImAxBav8ooCHJXCJA==}
+    engines: {node: ^10 || ^12 || >= 14}
+    peerDependencies:
+      postcss: ^8.1.0
+
+  postcss-modules-values@4.0.0:
+    resolution: {integrity: sha512-RDxHkAiEGI78gS2ofyvCsu7iycRv7oqw5xMWn9iMoR0N/7mf9D50ecQqUo5BZ9Zh2vH4bCUR/ktCqbB9m8vJjQ==}
+    engines: {node: ^10 || ^12 || >= 14}
+    peerDependencies:
+      postcss: ^8.1.0
+
   postcss-nested@6.2.0:
     resolution: {integrity: sha512-HQbt28KulC5AJzG+cZtj9kvKB93CFCdLvog1WFLf1D+xmMvPGlBstkpTEZfK5+AN9hfJocyBFCNiqyS48bpgzQ==}
     engines: {node: '>=12.0'}
@@ -13096,6 +15181,10 @@ packages:
     resolution: {integrity: sha512-OCVPnIObs4N29kxTjzLfUryOkvZEq+pf8jTF0lg8E7uETuWHA+v7j3c/xJmiqpX450191LlmZfUKkXxkTry7nA==}
     engines: {node: ^10 || ^12 || >=14}
 
+  postcss@8.5.2:
+    resolution: {integrity: sha512-MjOadfU3Ys9KYoX0AdkBlFEF1Vx37uCCeN4ZHnmwm9FfpbsGWMZeBLMmmpY+6Ocqod7mkdZ0DT31OlbsFrLlkA==}
+    engines: {node: ^10 || ^12 || >=14}
+
   postcss@8.5.3:
     resolution: {integrity: sha512-dle9A3yYxlBSrt8Fu+IpjGT8SY8hN0mlaA6GY8t0P5PjIOZemULz/E2Bnm/2dcUOena75OTNkHI76uZBNUUq3A==}
     engines: {node: ^10 || ^12 || >=14}
@@ -13124,8 +15213,8 @@ packages:
     resolution: {integrity: sha512-GbK2cP9nraSSUF9N2XwUwqfzlAFlMNYYl+ShE/V+H8a9uNl/oUqB1w2EL54Jh0OlyRSd8RfWYJ3coVS4TROP2w==}
     engines: {node: '>=6.0.0'}
 
-  prettier-plugin-svelte@3.3.3:
-    resolution: {integrity: sha512-yViK9zqQ+H2qZD1w/bH7W8i+bVfKrD8GIFjkFe4Thl6kCT9SlAsXVNmt3jCvQOCsnOhcvYgsoVlRV/Eu6x5nNw==}
+  prettier-plugin-svelte@3.4.0:
+    resolution: {integrity: sha512-pn1ra/0mPObzqoIQn/vUTR3ZZI6UuZ0sHqMK5x2jMLGrs53h0sXhkVuDcrlssHwIMk7FYrMjHBPoUSyyEEDlBQ==}
     peerDependencies:
       prettier: ^3.0.0
       svelte: ^3.2.0 || ^4.0.0-next.0 || ^5.0.0-next.0
@@ -13157,6 +15246,10 @@ packages:
     resolution: {integrity: sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==}
     engines: {node: ^14.15.0 || ^16.10.0 || >=18.0.0}
 
+  proc-log@5.0.0:
+    resolution: {integrity: sha512-Azwzvl90HaF0aCz1JrDdXQykFakSSNPaPoiZ9fm5qJIMHioDZEi7OAdRwSm6rSoPtY3Qutnm3L7ogmg3dc+wbQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   process-nextick-args@2.0.1:
     resolution: {integrity: sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==}
 
@@ -13171,6 +15264,10 @@ packages:
     resolution: {integrity: sha512-7PiHtLll5LdnKIMw100I+8xJXR5gW2QwWYkT6iJva0bXitZKa/XMrSbdmg3r2Xnaidz9Qumd0VPaMrZlF9V9sA==}
     engines: {node: '>=0.4.0'}
 
+  promise-retry@2.0.1:
+    resolution: {integrity: sha512-y+WKFlBR8BGXnsNlIHFGPZmyDf3DFMoLhaflAnyZgV6rG6xu+JwesTo2Q9R6XwYmtmwAFCkAk3e35jEdoeh/3g==}
+    engines: {node: '>=10'}
+
   prompts@2.4.2:
     resolution: {integrity: sha512-NxNv/kLguCA7p3jE8oL2aEBsrJWgAakBpgmgK6lpPWV+WuOmY6r2/zbAVnP+T8bQlA0nzHXSJSJW0Hq7ylaD2Q==}
     engines: {node: '>= 6'}
@@ -13198,6 +15295,9 @@ packages:
   proxy-from-env@1.1.0:
     resolution: {integrity: sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==}
 
+  prr@1.0.1:
+    resolution: {integrity: sha512-yPw4Sng1gWghHQWj0B3ZggWUm4qVbPwPFcRG8KyxiU7J2OHFSoEHKS+EZ3fv5l1t9CyCiop6l/ZYeWbrgoQejw==}
+
   psl@1.9.0:
     resolution: {integrity: sha512-E/ZsdU4HLs/68gYzgGTkMicWTLPdAftJLfJFlLUAAKZGkStNU72sZjT66SnMDVOfOWY/YAoiD7Jxa9iHvngcag==}
 
@@ -13392,16 +15492,37 @@ packages:
     resolution: {integrity: sha512-ECkTw8TmJwW60lOTR+ZkODISW6RQ8+2CL3COqtiJKLd6MmB45hN51HprHFziKLGkAuTGQhBb91V8cy+KHlaCjw==}
     engines: {node: '>= 0.4'}
 
+  regenerate-unicode-properties@10.2.0:
+    resolution: {integrity: sha512-DqHn3DwbmmPVzeKj9woBadqmXxLvQoQIwu7nopMc72ztvxVmVk2SBhSnx67zuye5TP+lJsb/TBQsjLKhnDf3MA==}
+    engines: {node: '>=4'}
+
+  regenerate@1.4.2:
+    resolution: {integrity: sha512-zrceR/XhGYU/d/opr2EKO7aRHUeiBI8qjtfHqADTwZd6Szfy16la6kqD0MIUs5z5hx6AaKa+PixpPrR289+I0A==}
+
   regenerator-runtime@0.13.11:
     resolution: {integrity: sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg==}
 
   regenerator-runtime@0.14.1:
     resolution: {integrity: sha512-dYnhHh0nJoMfnkZs6GmmhFknAGRrLznOu5nc9ML+EJxGvrx6H7teuevqVqCuPcPK//3eDrrjQhehXVx9cnkGdw==}
 
+  regex-parser@2.3.1:
+    resolution: {integrity: sha512-yXLRqatcCuKtVHsWrNg0JL3l1zGfdXeEvDa0bdu4tCDQw0RpMDZsqbkyRTUnKMR0tXF627V2oEWjBEaEdqTwtQ==}
+
   regexp.prototype.flags@1.5.2:
     resolution: {integrity: sha512-NcDiDkTLuPR+++OCKB0nWafEmhg/Da8aUPLPMQbK+bxKKCm1/S5he+AqYa4PlMCVBalb4/yxIRub6qkEx5yJbw==}
     engines: {node: '>= 0.4'}
 
+  regexpu-core@6.2.0:
+    resolution: {integrity: sha512-H66BPQMrv+V16t8xtmq+UC0CBpiTBA60V8ibS1QVReIp8T1z8hwFxqcGzm9K6lgsN7sB5edVH8a+ze6Fqm4weA==}
+    engines: {node: '>=4'}
+
+  regjsgen@0.8.0:
+    resolution: {integrity: sha512-RvwtGe3d7LvWiDQXeQw8p5asZUmfU1G/l6WbUXeHta7Y2PEIvBTwH6E2EfmYUK8pxcxEdEmaomqyp0vZZ7C+3Q==}
+
+  regjsparser@0.12.0:
+    resolution: {integrity: sha512-cnE+y8bz4NhMjISKbgeVJtqNbtf5QpjZP+Bslo+UqkIt9QPnX9q095eiRRASJG1/tz6dlNr6Z5NsBiWYokp6EQ==}
+    hasBin: true
+
   remark-parse@11.0.0:
     resolution: {integrity: sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA==}
 
@@ -13455,10 +15576,19 @@ packages:
   resolve-pkg-maps@1.0.0:
     resolution: {integrity: sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw==}
 
+  resolve-url-loader@5.0.0:
+    resolution: {integrity: sha512-uZtduh8/8srhBoMx//5bwqjQ+rfYOUq8zC9NrMUGtjBiGTtFJM42s58/36+hTqeqINcnYe08Nj3LkK9lW4N8Xg==}
+    engines: {node: '>=12'}
+
   resolve.exports@2.0.2:
     resolution: {integrity: sha512-X2UW6Nw3n/aMgDVy+0rSqgHlv39WZAlZrXCdnbyEiKm17DSqHX4MmQMaST3FbeWR5FTuRcUwYAziZajji0Y7mg==}
     engines: {node: '>=10'}
 
+  resolve@1.22.10:
+    resolution: {integrity: sha512-NPRy+/ncIMeDlTAsuqwKIiferiawhefFJtkNSW0qZJEqMEb+qBt/77B/jGeeek+F0uOeN05CDa6HXbbIgtVX4w==}
+    engines: {node: '>= 0.4'}
+    hasBin: true
+
   resolve@1.22.8:
     resolution: {integrity: sha512-oKWePCxqpd6FlLvGV1VU0x7bkPmmCNolxzjMf4NczoDnQcIWrAF+cPtZn5i6n+RfD2d9i0tzpKnG6Yk168yIyw==}
     hasBin: true
@@ -13475,9 +15605,6 @@ packages:
     resolution: {integrity: sha512-oMA2dcrw6u0YfxJQXm342bFKX/E4sG9rbTzO9ptUcR/e8A33cHuvStiYOwH7fszkZlZ1z/ta9AAoPk2F4qIOHA==}
     engines: {node: '>=18'}
 
-  resumable-stream@2.0.0:
-    resolution: {integrity: sha512-D7E0wDUnfoy+Lerba/gyuD44OG3G0APqDcQ9soMSerujaVujPLWc5sSCLXf/ZFQPreLb3MKDjSm3TOPXpNtpZw==}
-
   resumable-stream@2.2.0:
     resolution: {integrity: sha512-538Sgz+EQV0Wv2tGzID1V/ETzh/SSWSgqHhMGchZfvNGpCeVMP8BiEK5OIqRw8Up5/ifa93STzMa/k75NhbHdA==}
 
@@ -13485,6 +15612,10 @@ packages:
     resolution: {integrity: sha512-I1XxrZSQ+oErkRR4jYbAyEEu2I0avBvvMM5JN+6EBprOGRCs63ENqZ3vjavq8fBw2+62G5LF5XelKwuJpcvcxw==}
     engines: {node: '>=10'}
 
+  retry@0.12.0:
+    resolution: {integrity: sha512-9LkiTwjUh6rT555DtE9rTX+BKByPfrMzEAtnlEtdEwr3Nkffwiihqe2bWADg+OQRjt9gl6ICdmB/ZFDCGAtSow==}
+    engines: {node: '>= 4'}
+
   retry@0.13.1:
     resolution: {integrity: sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg==}
     engines: {node: '>= 4'}
@@ -13534,6 +15665,11 @@ packages:
     engines: {node: '>=18.0.0', npm: '>=8.0.0'}
     hasBin: true
 
+  rollup@4.34.8:
+    resolution: {integrity: sha512-489gTVMzAYdiZHFVA/ig/iYFllCcWFHMvUHI1rpFmkoUtRlQxqh6/yiNqnYibjMZ2b/+FUQwldG+aLsEt6bglQ==}
+    engines: {node: '>=18.0.0', npm: '>=8.0.0'}
+    hasBin: true
+
   rollup@4.34.9:
     resolution: {integrity: sha512-nF5XYqWWp9hx/LrpC8sZvvvmq0TeTjQgaZHYmAgwysT9nh8sWnZhBnM8ZyVbbJFIQBLwHDNoMqsBZBbUo4U8sQ==}
     engines: {node: '>=18.0.0', npm: '>=8.0.0'}
@@ -13600,6 +15736,32 @@ packages:
   safer-buffer@2.1.2:
     resolution: {integrity: sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==}
 
+  sass-loader@16.0.5:
+    resolution: {integrity: sha512-oL+CMBXrj6BZ/zOq4os+UECPL+bWqt6OAC6DWS8Ln8GZRcMDjlJ4JC3FBDuHJdYaFWIdKNIBYmtZtK2MaMkNIw==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      '@rspack/core': 0.x || 1.x
+      node-sass: ^4.0.0 || ^5.0.0 || ^6.0.0 || ^7.0.0 || ^8.0.0 || ^9.0.0
+      sass: ^1.3.0
+      sass-embedded: '*'
+      webpack: ^5.0.0
+    peerDependenciesMeta:
+      '@rspack/core':
+        optional: true
+      node-sass:
+        optional: true
+      sass:
+        optional: true
+      sass-embedded:
+        optional: true
+      webpack:
+        optional: true
+
+  sass@1.85.0:
+    resolution: {integrity: sha512-3ToiC1xZ1Y8aU7+CkgCI/tqyuPXEmYGJXO7H4uqp0xkLXUqp88rQQ4j1HmP37xSJLbCJPaIiv+cT1y+grssrww==}
+    engines: {node: '>=14.0.0'}
+    hasBin: true
+
   sax@1.4.1:
     resolution: {integrity: sha512-+aWOz7yVScEGoKNd4PA10LZ8sk0A/z5+nXQG5giUO5rprX9jgYsTdov9qCchZiPIZezbZH+jRut8nPodFAX4Jg==}
 
@@ -13623,6 +15785,10 @@ packages:
     resolution: {integrity: sha512-pN/yOAvcC+5rQ5nERGuwrjLlYvLTbCibnZ1I7B1LaiAz9BRBlE9GMgE/eqV30P7aJQUf7Ddimy/RsbYO/GrVGg==}
     engines: {node: '>= 10.13.0'}
 
+  schema-utils@4.3.2:
+    resolution: {integrity: sha512-Gn/JaSk/Mt9gYubxTtSn/QCV4em9mpAPiR1rqy/Ocu19u/G9J5WWdNoUT4SiV6mFC3y6cxyFcFwdzPM3FgxGAQ==}
+    engines: {node: '>= 10.13.0'}
+
   scule@1.3.0:
     resolution: {integrity: sha512-6FtHJEvt+pVMIB9IBY+IcCJ6Z5f1iQnytgyfKMhDKgmzYG+TeH/wx1y3l27rshSbLiSanrR9ffZDrEsmjlQF2g==}
 
@@ -13632,6 +15798,13 @@ packages:
   seedrandom@3.0.5:
     resolution: {integrity: sha512-8OwmbklUNzwezjGInmZ+2clQmExQPvomqjL7LFqOYqtmuxRgQYqOD3mHaU+MvZn5FLUeVxVfQjwLZW/n/JFuqg==}
 
+  select-hose@2.0.0:
+    resolution: {integrity: sha512-mEugaLK+YfkijB4fx0e6kImuJdCIt2LxCRcbEYPqRGCs4F2ogyfZU5IAZRdjCP8JPq2AtdNoC/Dux63d9Kiryg==}
+
+  selfsigned@2.4.1:
+    resolution: {integrity: sha512-th5B4L2U+eGLq1TVh7zNRGBapioSORUeymIydxgFpwww9d2qyKvtuPU2jJuHvYAwwqi2Y596QBL3eEqcPEYL8Q==}
+    engines: {node: '>=10'}
+
   semver@5.7.2:
     resolution: {integrity: sha512-cBznnQ9KjJqU67B52RMC65CMarK2600WFnbkcaiwWq3xy/5haFJlshgnpjovMVJ+Hff49d8GEn0b87C5pDQ10g==}
     hasBin: true
@@ -13661,6 +15834,10 @@ packages:
   serialize-javascript@6.0.2:
     resolution: {integrity: sha512-Saa1xPByTTq2gdeFZYLLo+RFE35NHZkAbqZeWNd3BpzppeVisAqpDjcp8dyf6uIvEqJRd46jemmyA4iFIeVk8g==}
 
+  serve-index@1.9.1:
+    resolution: {integrity: sha512-pXHfKNP4qujrtteMrSBb0rc8HJ9Ms/GrXwcUtUtD5s4ewDJI8bT3Cz2zTVRMKtri49pLx2e0Ya8ziP5Ya2pZZw==}
+    engines: {node: '>= 0.8.0'}
+
   serve-placeholder@2.0.2:
     resolution: {integrity: sha512-/TMG8SboeiQbZJWRlfTCqMs2DD3SZgWp0kDQePz9yUuCnDfDh/92gf7/PxGhzXTKBIPASIHxFcZndoNbp6QOLQ==}
 
@@ -13739,6 +15916,10 @@ packages:
     resolution: {integrity: sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==}
     engines: {node: '>=14'}
 
+  sigstore@3.1.0:
+    resolution: {integrity: sha512-ZpzWAFHIFqyFE56dXqgX/DkDRZdz+rRcjoIk/RQU4IX0wiCv1l8S7ZrXDHcCc+uaf+6o7w3h2l3g6GYG5TKN9Q==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   simple-git@3.27.0:
     resolution: {integrity: sha512-ivHoFS9Yi9GY49ogc6/YAi3Fl9ROnF4VyubNylgCkA+RVqLaKWnDSzXOVzya8csELIaWaYNutsEuAhZrtOjozA==}
 
@@ -13772,9 +15953,24 @@ packages:
     resolution: {integrity: sha512-bSiSngZ/jWeX93BqeIAbImyTbEihizcwNjFoRUIY/T1wWQsfsm2Vw1agPKylXvQTU7iASGdHhyqRlqQzfz+Htg==}
     engines: {node: '>=18'}
 
+  smart-buffer@4.2.0:
+    resolution: {integrity: sha512-94hK0Hh8rPqQl2xXc3HsaBoOXKV20MToPkcXvwbISWLEs+64sBq5kFgn2kJDHb1Pry9yrP0dxrCI9RRci7RXKg==}
+    engines: {node: '>= 6.0.0', npm: '>= 3.0.0'}
+
   smob@1.4.1:
     resolution: {integrity: sha512-9LK+E7Hv5R9u4g4C3p+jjLstaLe11MDsL21UpYaCNmapvMkYhqCV4A/f/3gyH8QjMyh6l68q9xC85vihY9ahMQ==}
 
+  sockjs@0.3.24:
+    resolution: {integrity: sha512-GJgLTZ7vYb/JtPSSZ10hsOYIvEYsjbNU+zPdIHcUaWVNUEPivzxku31865sSSud0Da0W4lEeOPlmw93zLQchuQ==}
+
+  socks-proxy-agent@8.0.5:
+    resolution: {integrity: sha512-HehCEsotFqbPW9sJ8WVYB6UbmIMv7kUUORIF2Nncq4VQvBfNBLibW9YZR5dlYCSUhwcD628pRllm7n+E+YTzJw==}
+    engines: {node: '>= 14'}
+
+  socks@2.8.6:
+    resolution: {integrity: sha512-pe4Y2yzru68lXCb38aAqRf5gvN8YdjP1lok5o0J7BOHljkyCGKVz7H3vpVIXKD27rj2giOJ7DwVyk/GWrPHDWA==}
+    engines: {node: '>= 10.0.0', npm: '>= 3.0.0'}
+
   sonic-boom@4.1.0:
     resolution: {integrity: sha512-NGipjjRicyJJ03rPiZCJYjwlsuP2d1/5QUviozRXC7S3WdVWNK5e3Ojieb9CCyfhq2UC+3+SRd9nG3I2lPRvUw==}
 
@@ -13788,6 +15984,12 @@ packages:
     resolution: {integrity: sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==}
     engines: {node: '>=0.10.0'}
 
+  source-map-loader@5.0.0:
+    resolution: {integrity: sha512-k2Dur7CbSLcAH73sBcIkV5xjPV4SzqO1NJ7+XaQl8if3VODDUj3FNchNGpqgJSKbvUfJuhVdv8K2Eu8/TNl2eA==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      webpack: ^5.72.1
+
   source-map-support@0.5.13:
     resolution: {integrity: sha512-SHSKFHadjVA5oR4PPqhtAVdcBWwRYVd6g6cAXnIbRiIwc2EhPrTuKUBdSLvlEKyIP3GCf89fltvcZiP9MMFA1w==}
 
@@ -13812,6 +16014,25 @@ packages:
   spawndamnit@3.0.1:
     resolution: {integrity: sha512-MmnduQUuHCoFckZoWnXsTg7JaiLBJrKFj9UI2MbRPGaJeVpsLcVBu6P/IGZovziM/YBsellCmsprgNA+w0CzVg==}
 
+  spdx-correct@3.2.0:
+    resolution: {integrity: sha512-kN9dJbvnySHULIluDHy32WHRUu3Og7B9sbY7tsFLctQkIqnMh3hErYgdMjTYuqmcXX+lK5T1lnUt3G7zNswmZA==}
+
+  spdx-exceptions@2.5.0:
+    resolution: {integrity: sha512-PiU42r+xO4UbUS1buo3LPJkjlO7430Xn5SVAhdpzzsPHsjbYVflnnFdATgabnLude+Cqu25p6N+g2lw/PFsa4w==}
+
+  spdx-expression-parse@3.0.1:
+    resolution: {integrity: sha512-cbqHunsQWnJNE6KhVSMsMeH5H/L9EpymbzqTQ3uLwNCLZ1Q481oWaofqH7nO6V07xlXwY6PhQdQ2IedWx/ZK4Q==}
+
+  spdx-license-ids@3.0.21:
+    resolution: {integrity: sha512-Bvg/8F5XephndSK3JffaRqdT+gyhfqIPwDHpX80tJrF8QQRYMo8sNMeaZ2Dp5+jhwKnUmIOyFFQfHRkjJm5nXg==}
+
+  spdy-transport@3.0.0:
+    resolution: {integrity: sha512-hsLVFE5SjA6TCisWeJXFKniGGOpBgMLmerfO2aCyCU5s7nJ/rpAepqmFifv/GCbSbueEeAJJnmSQ2rKC/g8Fcw==}
+
+  spdy@4.0.2:
+    resolution: {integrity: sha512-r46gZQZQV+Kl9oItvl1JZZqJKGr+oEkB08A6BzkiR7593/7IbtuncXHd2YoYeTsG4157ZssMu9KYvUHLcjcDoA==}
+    engines: {node: '>=6.0.0'}
+
   speakingurl@14.0.1:
     resolution: {integrity: sha512-1POYv7uv2gXoyGFpBCmpDVSNV74IfsWlDW216UPjbWufNf+bSU6GdbDsxdcxtfwb4xlI3yxzOTKClUosxARYrQ==}
     engines: {node: '>=0.10.0'}
@@ -13823,6 +16044,13 @@ packages:
   sprintf-js@1.0.3:
     resolution: {integrity: sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==}
 
+  sprintf-js@1.1.3:
+    resolution: {integrity: sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA==}
+
+  ssri@12.0.0:
+    resolution: {integrity: sha512-S7iGNosepx9RadX82oimUkvr0Ct7IjJbEbs4mJcTxst8um95J3sDYU1RBEOvdu6oL1Wek2ODI5i4MAw+dZ6cAQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   stack-utils@2.0.6:
     resolution: {integrity: sha512-XlkWvfIm6RmsWtNJx+uqtKLS8eqFbxUg0ZzLXqY0caEy9l7hruX8IpiDnjsLavoBgqCCR71TqWO8MaXYheJ3RQ==}
     engines: {node: '>=10'}
@@ -14171,11 +16399,32 @@ packages:
       uglify-js:
         optional: true
 
+  terser-webpack-plugin@5.3.14:
+    resolution: {integrity: sha512-vkZjpUjb6OMS7dhV+tILUW6BhpDR7P2L/aQSAv+Uwk+m8KATX9EccViHTJR2qDtACKPIYndLGCyl3FMo+r2LMw==}
+    engines: {node: '>= 10.13.0'}
+    peerDependencies:
+      '@swc/core': '*'
+      esbuild: '*'
+      uglify-js: '*'
+      webpack: ^5.1.0
+    peerDependenciesMeta:
+      '@swc/core':
+        optional: true
+      esbuild:
+        optional: true
+      uglify-js:
+        optional: true
+
   terser@5.31.3:
     resolution: {integrity: sha512-pAfYn3NIZLyZpa83ZKigvj6Rn9c/vd5KfYGX7cN1mnzqgDcxWvrU5ZtAfIKhEXz9nRecw4z3LXkjaq96/qZqAA==}
     engines: {node: '>=10'}
     hasBin: true
 
+  terser@5.39.0:
+    resolution: {integrity: sha512-LBAhFyLho16harJoWMg/nZsQYgTrg5jXOn2nCYjRUcZZEdE3qa2zb8QEDRUGVZBW4rlazf2fxkg8tztybTaqWw==}
+    engines: {node: '>=10'}
+    hasBin: true
+
   test-exclude@6.0.0:
     resolution: {integrity: sha512-cAGWPIyOHU6zlmg88jwm7VRyXnMN7iV68OGAbYDk/Mh/xC/pzVPlQtY6ngoIH/5/tciuhGfvESU8GrHrcxD56w==}
     engines: {node: '>=8'}
@@ -14190,6 +16439,12 @@ packages:
   thenify@3.3.1:
     resolution: {integrity: sha512-RVZSIV5IG10Hk3enotrhvz0T9em6cyHBLkH/YAZuKqd8hRkKhSfCGIcP2KUY0EPxndzANBmNllzWPwak+bheSw==}
 
+  thingies@1.21.0:
+    resolution: {integrity: sha512-hsqsJsFMsV+aD4s3CWKk85ep/3I9XzYV/IXaSouJMYIoDlgyi11cBhsqYe9/geRfB0YIikBQg6raRaM+nIMP9g==}
+    engines: {node: '>=10.18'}
+    peerDependencies:
+      tslib: ^2
+
   thread-stream@3.1.0:
     resolution: {integrity: sha512-OqyPZ9u96VohAyMfJykzmivOrY2wfMSf3C5TtFJVgN+Hm6aj+voFhlK+kZEIv2FBh1X6Xp3DlnCOfEQ3B2J86A==}
 
@@ -14200,6 +16455,9 @@ packages:
   through@2.3.8:
     resolution: {integrity: sha512-w89qg7PI8wAdvX60bMDP+bFoD5Dvhm9oLheFp5O4a2QF0cSBGsBX4qZmadPMvVqlLJBBci+WqGGOAPvcDeNSVg==}
 
+  thunky@1.1.0:
+    resolution: {integrity: sha512-eHY7nBftgThBqOyHGVN+l8gF0BucP09fMo0oO/Lb0w1OF80dJv+lDVpXG60WMQvkcxAkNybKsrEIE3ZtKGmPrA==}
+
   timm@1.7.1:
     resolution: {integrity: sha512-IjZc9KIotudix8bMaBW6QvMuq64BrJWFs1+4V0lXwWGQZwH+LnX87doAYhem4caOEusRP9/g6jVDQmZ8XOk1nw==}
 
@@ -14225,6 +16483,10 @@ packages:
     resolution: {integrity: sha512-Zc+8eJlFMvgatPZTl6A9L/yht8QqdmUNtURHaKZLmKBE12hNPSrqNkUp2cs3M/UKmNVVAMFQYSjYIVHDjW5zew==}
     engines: {node: '>=12.0.0'}
 
+  tinyglobby@0.2.14:
+    resolution: {integrity: sha512-tX5e7OM1HnYr2+a2C/4V0htOcSQcoSTH9KgJnVvNm5zm/cyEWKJ7j7YutsH9CxMdtOkkLFy2AHrMci9IM8IPZQ==}
+    engines: {node: '>=12.0.0'}
+
   tinypool@1.0.1:
     resolution: {integrity: sha512-URZYihUbRPcGv95En+sz6MfghfIc2OJ1sv/RmhWZLouPY0/8Vo80viwPvg3dlaS9fuq7fQMEfgRRK7BBZThBEA==}
     engines: {node: ^18.0.0 || >=20.0.0}
@@ -14305,6 +16567,12 @@ packages:
     resolution: {integrity: sha512-tk2G5R2KRwBd+ZN0zaEXpmzdKyOYksXwywulIX95MBODjSzMIuQnQ3m8JxgbhnL1LeVo7lqQKsYa1O3Htl7K5g==}
     engines: {node: '>=18'}
 
+  tree-dump@1.0.3:
+    resolution: {integrity: sha512-il+Cv80yVHFBwokQSfd4bldvr1Md951DpgAGfmhydt04L+YzHgubm2tQ7zueWDcGENKHq0ZvGFR/hjvNXilHEg==}
+    engines: {node: '>=10.0'}
+    peerDependencies:
+      tslib: '2'
+
   tree-kill@1.2.2:
     resolution: {integrity: sha512-L0Orpi8qGpRG//Nd+H90vFB+3iHnue1zSSGmNOOCh1GLJ7rUKVwV2HvijphGQS2UmhUZewS9VgvxYIdgr+fG1A==}
     hasBin: true
@@ -14386,9 +16654,6 @@ packages:
     resolution: {integrity: sha512-NoZ4roiN7LnbKn9QqE1amc9DJfzvZXxF4xDavcOWt1BPkdx+m+0gJuPM+S0vCe7zTJMYUP0R8pO2XMr+Y8oLIg==}
     engines: {node: '>=6'}
 
-  tslib@2.6.3:
-    resolution: {integrity: sha512-xNvxJEOUiWPGhUuUdQgAJPKOOJfGnIyKySOc09XkKsgdUV/3E2zvwZYdejjmRgPCgcym1juLH3226yA7sEFJKQ==}
-
   tslib@2.7.0:
     resolution: {integrity: sha512-gLXCKdN1/j47AiHiOkJN69hJmcbGTHI0ImLmbYLHykhgeN0jVGola9yVjFgzCUklsZQMW55o+dW7IXv3RCXDzA==}
 
@@ -14477,6 +16742,10 @@ packages:
     engines: {node: '>=18.0.0'}
     hasBin: true
 
+  tuf-js@3.1.0:
+    resolution: {integrity: sha512-3T3T04WzowbwV2FDiGXBbr81t64g1MUGGJRgT4x5o97N+8ArdhVCAF9IxFrxuSJmM3E5Asn7nKHkao0ibcZXAg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   turbo-darwin-64@2.4.4:
     resolution: {integrity: sha512-5kPvRkLAfmWI0MH96D+/THnDMGXlFNmjeqNRj5grLKiry+M9pKj3pRuScddAXPdlxjO5Ptz06UNaOQrrYGTx1g==}
     cpu: [x64]
@@ -14563,6 +16832,9 @@ packages:
     resolution: {integrity: sha512-/OxDN6OtAk5KBpGb28T+HZc2M+ADtvRxXrKKbUwtsLgdoxgX13hyy7ek6bFRl5+aBs2yZzB0c4CnQfAtVypW/g==}
     engines: {node: '>= 0.4'}
 
+  typed-assert@1.0.9:
+    resolution: {integrity: sha512-KNNZtayBCtmnNmbo5mG47p1XsCyrx6iVqomjcZnec/1Y5GGARaxPs6r49RnSPeUP3YjNYiU9sQHAtY4BBvnZwg==}
+
   typed-function@4.2.1:
     resolution: {integrity: sha512-EGjWssW7Tsk4DGfE+5yluuljS1OGYWiI1J6e8puZz9nTMM51Oug8CD5Zo4gWMsOhq5BI+1bF+rWTm4Vbj3ivRA==}
     engines: {node: '>= 18'}
@@ -14634,6 +16906,22 @@ packages:
   unhead@1.11.11:
     resolution: {integrity: sha512-98tM2R8OWJhvS6uqTewkfIrsPqFU/VwnKpU2tVZ+jPXSWgWSLmM3K2Y2v5AEM4bZjmC/XH8pLVGzbqB7xzFI/Q==}
 
+  unicode-canonical-property-names-ecmascript@2.0.1:
+    resolution: {integrity: sha512-dA8WbNeb2a6oQzAQ55YlT5vQAWGV9WXOsi3SskE3bcCdM0P4SDd+24zS/OCacdRq5BkdsRj9q3Pg6YyQoxIGqg==}
+    engines: {node: '>=4'}
+
+  unicode-match-property-ecmascript@2.0.0:
+    resolution: {integrity: sha512-5kaZCrbp5mmbz5ulBkDkbY0SsPOjKqVS35VpL9ulMPfSl0J0Xsm+9Evphv9CoIZFwre7aJoa94AY6seMKGVN5Q==}
+    engines: {node: '>=4'}
+
+  unicode-match-property-value-ecmascript@2.2.0:
+    resolution: {integrity: sha512-4IehN3V/+kkr5YeSSDDQG8QLqO26XpL2XP3GQtqwlT/QYSECAwFztxVHjlbh0+gjJ3XmNLS0zDsbgs9jWKExLg==}
+    engines: {node: '>=4'}
+
+  unicode-property-aliases-ecmascript@2.1.0:
+    resolution: {integrity: sha512-6t3foTQI9qne+OZoVQB/8x8rk2k1eVy1gRXhV3oFQ5T6R1dqQ1xtin3XqSlx3+ATBkliTaR/hHyJBm+LVPNM8w==}
+    engines: {node: '>=4'}
+
   unicorn-magic@0.1.0:
     resolution: {integrity: sha512-lRfVq8fE8gz6QMBuDM6a+LO3IAzTi05H6gCVaUpir2E1Rwpo4ZUog45KpNXKC/Mn3Yb9UDuHumeFTo9iV/D9FQ==}
     engines: {node: '>=18'}
@@ -14647,6 +16935,14 @@ packages:
   unimport@3.14.4:
     resolution: {integrity: sha512-90jQsiS2D0vIrWg4U58do7B5Hr4q0qt9o/rS0TrDMzrvNuAQ7XF1sQ47Pe2zjVlvFWNkoPBb/2l2GJFy5XjqDg==}
 
+  unique-filename@4.0.0:
+    resolution: {integrity: sha512-XSnEewXmQ+veP7xX2dS5Q4yZAvO40cBN2MWkJ7D/6sW4Dg6wYBNwM1Vrnz1FhH5AdeLIlUXRI9e28z1YZi71NQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
+  unique-slug@5.0.0:
+    resolution: {integrity: sha512-9OdaqO5kwqR+1kVgHAhsp5vPNU0hnxRa26rBFNfNgM7M6pNtgzeBn3s/xbyCQL3dcjzOatcef6UUHpB/6MaETg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   unist-util-is@6.0.0:
     resolution: {integrity: sha512-2qCTHimwdxLfz+YzdGfkqNlH0tLi9xjTnHddPmJwtIG9MGsdbutfTc4P+haPD7l7Cjxf/WZj+we5qfVPvvxfYw==}
 
@@ -14779,6 +17075,12 @@ packages:
     peerDependencies:
       browserslist: '>= 4.21.0'
 
+  update-browserslist-db@1.1.3:
+    resolution: {integrity: sha512-UxhIZQ+QInVdunkDAaiazvvT/+fXL5Osr0JZlJulepYu6Jd7qJtDZjlur0emRlT71EN3ScPoE7gvsuIKKNavKw==}
+    hasBin: true
+    peerDependencies:
+      browserslist: '>= 4.21.0'
+
   update-ts-references@3.6.0:
     resolution: {integrity: sha512-5Cpe+n+gxSvbZeIDH8PVJSbhV76qaZTbTQdM2NCxF/Pz6i9NipMXSgDNw/HuDYsXIz5RiHYEEurJXn9g1mrGYQ==}
     engines: {node: '>=14.0.0'}
@@ -14814,6 +17116,10 @@ packages:
     resolution: {integrity: sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==}
     engines: {node: '>= 0.4.0'}
 
+  uuid@8.3.2:
+    resolution: {integrity: sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==}
+    hasBin: true
+
   uuid@9.0.1:
     resolution: {integrity: sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==}
     hasBin: true
@@ -14841,6 +17147,13 @@ packages:
       typescript:
         optional: true
 
+  validate-npm-package-license@3.0.4:
+    resolution: {integrity: sha512-DpKm2Ui/xN7/HQKCtpZxoRWBhZ9Z0kqtygG8XCgNQ8ZlDnxuQmWhj566j8fN4Cu3/JmbhsDo7fcAJq4s9h27Ew==}
+
+  validate-npm-package-name@6.0.1:
+    resolution: {integrity: sha512-OaI//3H0J7ZkR1OqlhGA8cA+Cbk/2xFOQpJOt5+s27/ta9eZwpeervh4Mxh4w0im/kdgktowaqVNR7QOrUd7Yg==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+
   vary@1.1.2:
     resolution: {integrity: sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==}
     engines: {node: '>= 0.8'}
@@ -14986,6 +17299,46 @@ packages:
       yaml:
         optional: true
 
+  vite@6.2.7:
+    resolution: {integrity: sha512-qg3LkeuinTrZoJHHF94coSaTfIPyBYoywp+ys4qu20oSJFbKMYoIJo0FWJT9q6Vp49l6z9IsJRbHdcGtiKbGoQ==}
+    engines: {node: ^18.0.0 || ^20.0.0 || >=22.0.0}
+    hasBin: true
+    peerDependencies:
+      '@types/node': ^18.0.0 || ^20.0.0 || >=22.0.0
+      jiti: '>=1.21.0'
+      less: '*'
+      lightningcss: ^1.21.0
+      sass: '*'
+      sass-embedded: '*'
+      stylus: '*'
+      sugarss: '*'
+      terser: ^5.16.0
+      tsx: ^4.8.1
+      yaml: ^2.4.2
+    peerDependenciesMeta:
+      '@types/node':
+        optional: true
+      jiti:
+        optional: true
+      less:
+        optional: true
+      lightningcss:
+        optional: true
+      sass:
+        optional: true
+      sass-embedded:
+        optional: true
+      stylus:
+        optional: true
+      sugarss:
+        optional: true
+      terser:
+        optional: true
+      tsx:
+        optional: true
+      yaml:
+        optional: true
+
   vitefu@1.0.6:
     resolution: {integrity: sha512-+Rex1GlappUyNN6UfwbVZne/9cYC4+R2XDk9xkNXBKMw6HQagdX9PgZ8V2v1WUSK1wfBLp7qbI1+XSNIlB1xmA==}
     peerDependencies:
@@ -15112,9 +17465,15 @@ packages:
     resolution: {integrity: sha512-TnbFSbcOCcDgjZ4piURLCbJ3nJhznVh9kw6F6iokjiFPl8ONxe9A6nMDVXDiNbrSfLILs6vB07F7wLBrwPYzJw==}
     engines: {node: '>=10.13.0'}
 
+  wbuf@1.7.3:
+    resolution: {integrity: sha512-O84QOnr0icsbFGLS0O3bI5FswxzRr8/gHwWkDlQFskhSPryQXvrTMxjxGP4+iWYoauLoBvfDpkrOauZ+0iZpDA==}
+
   wcwidth@1.0.1:
     resolution: {integrity: sha512-XHPEwS0q6TaxcvG85+8EYkbiCux2XtWG2mkc47Ng2A77BQu9+DqIOJldST4HgPkuea7dvKSj5VgX3P1d4rW8Tg==}
 
+  weak-lru-cache@1.2.2:
+    resolution: {integrity: sha512-DEAoo25RfSYMuTGc9vPJzZcZullwIqRDSI9LOy+fkCJPi6hykCnfKaXTuPBDuXAUcqHXyOgFtHNp/kB2FjYHbw==}
+
   web-streams-polyfill@3.3.3:
     resolution: {integrity: sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==}
     engines: {node: '>= 8'}
@@ -15133,6 +17492,32 @@ packages:
     resolution: {integrity: sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g==}
     engines: {node: '>=12'}
 
+  webpack-dev-middleware@7.4.2:
+    resolution: {integrity: sha512-xOO8n6eggxnwYpy1NlzUKpvrjfJTvae5/D6WOK0S2LSo7vjmo5gCM1DbLUmFqrMTJP+W/0YZNctm7jasWvLuBA==}
+    engines: {node: '>= 18.12.0'}
+    peerDependencies:
+      webpack: ^5.0.0
+    peerDependenciesMeta:
+      webpack:
+        optional: true
+
+  webpack-dev-server@5.2.2:
+    resolution: {integrity: sha512-QcQ72gh8a+7JO63TAx/6XZf/CWhgMzu5m0QirvPfGvptOusAxG12w2+aua1Jkjr7hzaWDnJ2n6JFeexMHI+Zjg==}
+    engines: {node: '>= 18.12.0'}
+    hasBin: true
+    peerDependencies:
+      webpack: ^5.0.0
+      webpack-cli: '*'
+    peerDependenciesMeta:
+      webpack:
+        optional: true
+      webpack-cli:
+        optional: true
+
+  webpack-merge@6.0.1:
+    resolution: {integrity: sha512-hXXvrjtx2PLYx4qruKl+kyRSLc52V+cCvMxRjmKwoA+CBbbF5GfIBtR6kCvl0fYGqTUPKB+1ktVmTHqMOzgCBg==}
+    engines: {node: '>=18.0.0'}
+
   webpack-node-externals@3.0.0:
     resolution: {integrity: sha512-LnL6Z3GGDPht/AigwRh2dvL9PQPFQ8skEpVrWZXLWBYmqcaojHNN0onvHzie6rq7EWKrrBfPYqNEzTJgiwEQDQ==}
     engines: {node: '>=6'}
@@ -15141,6 +17526,16 @@ packages:
     resolution: {integrity: sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==}
     engines: {node: '>=10.13.0'}
 
+  webpack-subresource-integrity@5.1.0:
+    resolution: {integrity: sha512-sacXoX+xd8r4WKsy9MvH/q/vBtEHr86cpImXwyg74pFIpERKt6FmB8cXpeuh0ZLgclOlHI4Wcll7+R5L02xk9Q==}
+    engines: {node: '>= 12'}
+    peerDependencies:
+      html-webpack-plugin: '>= 5.0.0-beta.1 < 6'
+      webpack: ^5.12.0
+    peerDependenciesMeta:
+      html-webpack-plugin:
+        optional: true
+
   webpack-virtual-modules@0.5.0:
     resolution: {integrity: sha512-kyDivFZ7ZM0BVOUteVbDFhlRt7Ah/CSPwJdi8hBpkK7QLumUqdLtVfm/PX/hkcnrvr0i77fO5+TjZ94Pe+C9iw==}
 
@@ -15157,6 +17552,24 @@ packages:
       webpack-cli:
         optional: true
 
+  webpack@5.98.0:
+    resolution: {integrity: sha512-UFynvx+gM44Gv9qFgj0acCQK2VE1CtdfwFdimkapco3hlPCJ/zeq73n2yVKimVbtm+TnApIugGhLJnkU6gjYXA==}
+    engines: {node: '>=10.13.0'}
+    hasBin: true
+    peerDependencies:
+      webpack-cli: '*'
+    peerDependenciesMeta:
+      webpack-cli:
+        optional: true
+
+  websocket-driver@0.7.4:
+    resolution: {integrity: sha512-b17KeDIQVjvb0ssuSDF2cYXSg2iztliJ4B9WdsuB6J952qCPKmnVq4DyW5motImXHDC1cBT/1UezrJVsKw5zjg==}
+    engines: {node: '>=0.8.0'}
+
+  websocket-extensions@0.1.4:
+    resolution: {integrity: sha512-OqedPIGOfsDlo31UNwYbCFMSaO9m9G/0faIHj5/dZFDMFqPTcx6UwqyOy3COEaEOg/9VsGIpdqn62W5KhoKSpg==}
+    engines: {node: '>=0.8.0'}
+
   whatwg-encoding@3.1.1:
     resolution: {integrity: sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ==}
     engines: {node: '>=18'}
@@ -15203,6 +17616,11 @@ packages:
     engines: {node: ^14.17.0 || ^16.13.0 || >=18.0.0}
     hasBin: true
 
+  which@5.0.0:
+    resolution: {integrity: sha512-JEdGzHwwkrbWoGOlIHqQ5gtprKGOenpDHpxE9zVR1bWbOtYRyPPHMe9FaP6x61CmNaTThSkb0DAJte5jD+DmzQ==}
+    engines: {node: ^18.17.0 || >=20.5.0}
+    hasBin: true
+
   why-is-node-running@2.3.0:
     resolution: {integrity: sha512-hUrmaWBdVDcxvYqnyh09zunKzROWjbZTiNy8dBEjkS7ehEDQibXJ7XvlmtbwuTclUiIyN+CyXQD4Vmko8fNm8w==}
     engines: {node: '>=8'}
@@ -15211,6 +17629,9 @@ packages:
   wide-align@1.1.5:
     resolution: {integrity: sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==}
 
+  wildcard@2.0.1:
+    resolution: {integrity: sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ==}
+
   word-wrap@1.2.5:
     resolution: {integrity: sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==}
     engines: {node: '>=0.10.0'}
@@ -15344,6 +17765,10 @@ packages:
     resolution: {integrity: sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==}
     engines: {node: '>=10'}
 
+  yocto-queue@1.2.1:
+    resolution: {integrity: sha512-AyeEbWOu/TAXdxlV9wmGcR0+yh2j3vYPGOECcIj2S7MkrLyC7ne+oye2BKTItt0ii2PHk4cDy+95+LshzbXnGg==}
+    engines: {node: '>=12.20'}
+
   yoctocolors-cjs@2.1.2:
     resolution: {integrity: sha512-cYVsTjKl8b+FrnidjibDWskAv7UKOfcwaVZdp/it9n1s9fU3IkgDbhdIRKCW4JDsAlECJY0ytoVPT3sK6kideA==}
     engines: {node: '>=18'}
@@ -15368,8 +17793,11 @@ packages:
     peerDependencies:
       zod: ^3.24.1
 
-  zod@3.25.49:
-    resolution: {integrity: sha512-JMMPMy9ZBk3XFEdbM3iL1brx4NUSejd6xr3ELrrGEfGb355gjhiAWtG3K5o+AViV/3ZfkIrCzXsZn6SbLwTR8Q==}
+  zod@3.25.76:
+    resolution: {integrity: sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==}
+
+  zone.js@0.15.1:
+    resolution: {integrity: sha512-XE96n56IQpJM7NAoXswY3XRLcWFW83xe0BiAOeMD7K5k5xecOeul3Qcpx6GqEeeHNkW5DWL5zOyTbEfB4eti8w==}
 
   zwitch@2.0.4:
     resolution: {integrity: sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==}
@@ -15382,8 +17810,110 @@ snapshots:
 
   '@ampproject/remapping@2.3.0':
     dependencies:
-      '@jridgewell/gen-mapping': 0.3.8
-      '@jridgewell/trace-mapping': 0.3.25
+      '@jridgewell/gen-mapping': 0.3.12
+      '@jridgewell/trace-mapping': 0.3.29
+
+  '@angular-devkit/architect@0.1902.15(chokidar@4.0.3)':
+    dependencies:
+      '@angular-devkit/core': 19.2.15(chokidar@4.0.3)
+      rxjs: 7.8.1
+    transitivePeerDependencies:
+      - chokidar
+
+  '@angular-devkit/build-angular@19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(@angular/compiler@19.2.14)(@types/node@20.17.24)(chokidar@4.0.3)(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(jiti@2.4.0)(tailwindcss@3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(tsx@4.19.2)(typescript@5.8.3)(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(yaml@2.7.0)':
+    dependencies:
+      '@ampproject/remapping': 2.3.0
+      '@angular-devkit/architect': 0.1902.15(chokidar@4.0.3)
+      '@angular-devkit/build-webpack': 0.1902.15(chokidar@4.0.3)(webpack-dev-server@5.2.2(webpack@5.98.0))(webpack@5.98.0(esbuild@0.25.4))
+      '@angular-devkit/core': 19.2.15(chokidar@4.0.3)
+      '@angular/build': 19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(@angular/compiler@19.2.14)(@types/node@20.17.24)(chokidar@4.0.3)(jiti@2.4.0)(less@4.2.2)(postcss@8.5.2)(tailwindcss@3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(terser@5.39.0)(tsx@4.19.2)(typescript@5.8.3)(yaml@2.7.0)
+      '@angular/compiler-cli': 19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3)
+      '@babel/core': 7.26.10
+      '@babel/generator': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.25.9
+      '@babel/helper-split-export-declaration': 7.24.7
+      '@babel/plugin-transform-async-generator-functions': 7.26.8(@babel/core@7.26.10)
+      '@babel/plugin-transform-async-to-generator': 7.25.9(@babel/core@7.26.10)
+      '@babel/plugin-transform-runtime': 7.26.10(@babel/core@7.26.10)
+      '@babel/preset-env': 7.26.9(@babel/core@7.26.10)
+      '@babel/runtime': 7.26.10
+      '@discoveryjs/json-ext': 0.6.3
+      '@ngtools/webpack': 19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(typescript@5.8.3)(webpack@5.98.0(esbuild@0.25.4))
+      '@vitejs/plugin-basic-ssl': 1.2.0(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
+      ansi-colors: 4.1.3
+      autoprefixer: 10.4.20(postcss@8.5.2)
+      babel-loader: 9.2.1(@babel/core@7.26.10)(webpack@5.98.0(esbuild@0.25.4))
+      browserslist: 4.25.1
+      copy-webpack-plugin: 12.0.2(webpack@5.98.0(esbuild@0.25.4))
+      css-loader: 7.1.2(webpack@5.98.0(esbuild@0.25.4))
+      esbuild-wasm: 0.25.4
+      fast-glob: 3.3.3
+      http-proxy-middleware: 3.0.5
+      istanbul-lib-instrument: 6.0.3
+      jsonc-parser: 3.3.1
+      karma-source-map-support: 1.4.0
+      less: 4.2.2
+      less-loader: 12.2.0(less@4.2.2)(webpack@5.98.0(esbuild@0.25.4))
+      license-webpack-plugin: 4.0.2(webpack@5.98.0(esbuild@0.25.4))
+      loader-utils: 3.3.1
+      mini-css-extract-plugin: 2.9.2(webpack@5.98.0(esbuild@0.25.4))
+      open: 10.1.0
+      ora: 5.4.1
+      picomatch: 4.0.2
+      piscina: 4.8.0
+      postcss: 8.5.2
+      postcss-loader: 8.1.1(postcss@8.5.2)(typescript@5.8.3)(webpack@5.98.0(esbuild@0.25.4))
+      resolve-url-loader: 5.0.0
+      rxjs: 7.8.1
+      sass: 1.85.0
+      sass-loader: 16.0.5(sass@1.85.0)(webpack@5.98.0(esbuild@0.25.4))
+      semver: 7.7.1
+      source-map-loader: 5.0.0(webpack@5.98.0(esbuild@0.25.4))
+      source-map-support: 0.5.21
+      terser: 5.39.0
+      tree-kill: 1.2.2
+      tslib: 2.8.1
+      typescript: 5.8.3
+      webpack: 5.98.0(esbuild@0.25.4)
+      webpack-dev-middleware: 7.4.2(webpack@5.98.0)
+      webpack-dev-server: 5.2.2(webpack@5.98.0)
+      webpack-merge: 6.0.1
+      webpack-subresource-integrity: 5.1.0(webpack@5.98.0(esbuild@0.25.4))
+    optionalDependencies:
+      esbuild: 0.25.4
+      jest: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      tailwindcss: 3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+    transitivePeerDependencies:
+      - '@angular/compiler'
+      - '@rspack/core'
+      - '@swc/core'
+      - '@types/node'
+      - bufferutil
+      - chokidar
+      - debug
+      - html-webpack-plugin
+      - jiti
+      - lightningcss
+      - node-sass
+      - sass-embedded
+      - stylus
+      - sugarss
+      - supports-color
+      - tsx
+      - uglify-js
+      - utf-8-validate
+      - vite
+      - webpack-cli
+      - yaml
+
+  '@angular-devkit/build-webpack@0.1902.15(chokidar@4.0.3)(webpack-dev-server@5.2.2(webpack@5.98.0))(webpack@5.98.0(esbuild@0.25.4))':
+    dependencies:
+      '@angular-devkit/architect': 0.1902.15(chokidar@4.0.3)
+      rxjs: 7.8.1
+      webpack: 5.98.0(esbuild@0.25.4)
+      webpack-dev-server: 5.2.2(webpack@5.98.0)
+    transitivePeerDependencies:
+      - chokidar
 
   '@angular-devkit/core@17.3.11(chokidar@3.6.0)':
     dependencies:
@@ -15396,6 +17926,17 @@ snapshots:
     optionalDependencies:
       chokidar: 3.6.0
 
+  '@angular-devkit/core@19.2.15(chokidar@4.0.3)':
+    dependencies:
+      ajv: 8.17.1
+      ajv-formats: 3.0.1(ajv@8.17.1)
+      jsonc-parser: 3.3.1
+      picomatch: 4.0.2
+      rxjs: 7.8.1
+      source-map: 0.7.4
+    optionalDependencies:
+      chokidar: 4.0.3
+
   '@angular-devkit/schematics-cli@17.3.11(chokidar@3.6.0)':
     dependencies:
       '@angular-devkit/core': 17.3.11(chokidar@3.6.0)
@@ -15417,9 +17958,153 @@ snapshots:
     transitivePeerDependencies:
       - chokidar
 
+  '@angular-devkit/schematics@19.2.15(chokidar@4.0.3)':
+    dependencies:
+      '@angular-devkit/core': 19.2.15(chokidar@4.0.3)
+      jsonc-parser: 3.3.1
+      magic-string: 0.30.17
+      ora: 5.4.1
+      rxjs: 7.8.1
+    transitivePeerDependencies:
+      - chokidar
+
+  '@angular/build@19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(@angular/compiler@19.2.14)(@types/node@20.17.24)(chokidar@4.0.3)(jiti@2.4.0)(less@4.2.2)(postcss@8.5.2)(tailwindcss@3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)))(terser@5.39.0)(tsx@4.19.2)(typescript@5.8.3)(yaml@2.7.0)':
+    dependencies:
+      '@ampproject/remapping': 2.3.0
+      '@angular-devkit/architect': 0.1902.15(chokidar@4.0.3)
+      '@angular/compiler': 19.2.14
+      '@angular/compiler-cli': 19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3)
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.25.9
+      '@babel/helper-split-export-declaration': 7.24.7
+      '@babel/plugin-syntax-import-attributes': 7.26.0(@babel/core@7.26.10)
+      '@inquirer/confirm': 5.1.6(@types/node@20.17.24)
+      '@vitejs/plugin-basic-ssl': 1.2.0(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
+      beasties: 0.3.2
+      browserslist: 4.25.1
+      esbuild: 0.25.4
+      fast-glob: 3.3.3
+      https-proxy-agent: 7.0.6(supports-color@9.4.0)
+      istanbul-lib-instrument: 6.0.3
+      listr2: 8.2.5
+      magic-string: 0.30.17
+      mrmime: 2.0.1
+      parse5-html-rewriting-stream: 7.0.0
+      picomatch: 4.0.2
+      piscina: 4.8.0
+      rollup: 4.34.8
+      sass: 1.85.0
+      semver: 7.7.1
+      source-map-support: 0.5.21
+      typescript: 5.8.3
+      vite: 6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      watchpack: 2.4.2
+    optionalDependencies:
+      less: 4.2.2
+      lmdb: 3.2.6
+      postcss: 8.5.2
+      tailwindcss: 3.4.17(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+    transitivePeerDependencies:
+      - '@types/node'
+      - chokidar
+      - jiti
+      - lightningcss
+      - sass-embedded
+      - stylus
+      - sugarss
+      - supports-color
+      - terser
+      - tsx
+      - yaml
+
+  '@angular/cli@19.2.15(@types/node@20.17.24)(chokidar@4.0.3)':
+    dependencies:
+      '@angular-devkit/architect': 0.1902.15(chokidar@4.0.3)
+      '@angular-devkit/core': 19.2.15(chokidar@4.0.3)
+      '@angular-devkit/schematics': 19.2.15(chokidar@4.0.3)
+      '@inquirer/prompts': 7.3.2(@types/node@20.17.24)
+      '@listr2/prompt-adapter-inquirer': 2.0.18(@inquirer/prompts@7.3.2(@types/node@20.17.24))
+      '@schematics/angular': 19.2.15(chokidar@4.0.3)
+      '@yarnpkg/lockfile': 1.1.0
+      ini: 5.0.0
+      jsonc-parser: 3.3.1
+      listr2: 8.2.5
+      npm-package-arg: 12.0.2
+      npm-pick-manifest: 10.0.0
+      pacote: 20.0.0
+      resolve: 1.22.10
+      semver: 7.7.1
+      symbol-observable: 4.0.0
+      yargs: 17.7.2
+    transitivePeerDependencies:
+      - '@types/node'
+      - chokidar
+      - supports-color
+
+  '@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)':
+    dependencies:
+      '@angular/core': 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      rxjs: 7.8.1
+      tslib: 2.8.1
+
+  '@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3)':
+    dependencies:
+      '@angular/compiler': 19.2.14
+      '@babel/core': 7.26.9
+      '@jridgewell/sourcemap-codec': 1.5.0
+      chokidar: 4.0.3
+      convert-source-map: 1.9.0
+      reflect-metadata: 0.2.2
+      semver: 7.7.1
+      tslib: 2.8.1
+      typescript: 5.8.3
+      yargs: 17.7.2
+    transitivePeerDependencies:
+      - supports-color
+
+  '@angular/compiler@19.2.14':
+    dependencies:
+      tslib: 2.8.1
+
+  '@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)':
+    dependencies:
+      rxjs: 7.8.1
+      tslib: 2.8.1
+      zone.js: 0.15.1
+
+  '@angular/forms@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))(rxjs@7.8.1)':
+    dependencies:
+      '@angular/common': 19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)
+      '@angular/core': 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      '@angular/platform-browser': 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))
+      rxjs: 7.8.1
+      tslib: 2.8.1
+
+  '@angular/platform-browser-dynamic@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/compiler@19.2.14)(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))':
+    dependencies:
+      '@angular/common': 19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)
+      '@angular/compiler': 19.2.14
+      '@angular/core': 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      '@angular/platform-browser': 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))
+      tslib: 2.8.1
+
+  '@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))':
+    dependencies:
+      '@angular/common': 19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)
+      '@angular/core': 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      tslib: 2.8.1
+
+  '@angular/router@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(@angular/platform-browser@19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1)))(rxjs@7.8.1)':
+    dependencies:
+      '@angular/common': 19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1)
+      '@angular/core': 19.2.14(rxjs@7.8.1)(zone.js@0.15.1)
+      '@angular/platform-browser': 19.2.14(@angular/common@19.2.14(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))(rxjs@7.8.1))(@angular/core@19.2.14(rxjs@7.8.1)(zone.js@0.15.1))
+      rxjs: 7.8.1
+      tslib: 2.8.1
+
   '@antfu/utils@0.7.10': {}
 
-  '@anthropic-ai/sdk@0.9.1':
+  '@anthropic-ai/sdk@0.9.1(encoding@0.1.13)':
     dependencies:
       '@types/node': 18.15.11
       '@types/node-fetch': 2.6.11
@@ -15428,7 +18113,7 @@ snapshots:
       digest-fetch: 1.3.0
       form-data-encoder: 1.7.2
       formdata-node: 4.4.1
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       web-streams-polyfill: 3.3.3
     transitivePeerDependencies:
       - encoding
@@ -15872,8 +18557,16 @@ snapshots:
       js-tokens: 4.0.0
       picocolors: 1.1.1
 
+  '@babel/code-frame@7.27.1':
+    dependencies:
+      '@babel/helper-validator-identifier': 7.27.1
+      js-tokens: 4.0.0
+      picocolors: 1.1.1
+
   '@babel/compat-data@7.26.2': {}
 
+  '@babel/compat-data@7.28.0': {}
+
   '@babel/core@7.25.2':
     dependencies:
       '@ampproject/remapping': 2.3.0
@@ -15914,6 +18607,54 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/core@7.26.10':
+    dependencies:
+      '@ampproject/remapping': 2.3.0
+      '@babel/code-frame': 7.27.1
+      '@babel/generator': 7.28.0
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.10)
+      '@babel/helpers': 7.27.6
+      '@babel/parser': 7.28.0
+      '@babel/template': 7.27.2
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+      convert-source-map: 2.0.0
+      debug: 4.4.1
+      gensync: 1.0.0-beta.2
+      json5: 2.2.3
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/core@7.26.9':
+    dependencies:
+      '@ampproject/remapping': 2.3.0
+      '@babel/code-frame': 7.27.1
+      '@babel/generator': 7.28.0
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.9)
+      '@babel/helpers': 7.27.6
+      '@babel/parser': 7.28.0
+      '@babel/template': 7.27.2
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+      convert-source-map: 2.0.0
+      debug: 4.4.1
+      gensync: 1.0.0-beta.2
+      json5: 2.2.3
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/generator@7.26.10':
+    dependencies:
+      '@babel/parser': 7.28.0
+      '@babel/types': 7.28.0
+      '@jridgewell/gen-mapping': 0.3.12
+      '@jridgewell/trace-mapping': 0.3.29
+      jsesc: 3.0.2
+
   '@babel/generator@7.26.2':
     dependencies:
       '@babel/parser': 7.26.2
@@ -15922,9 +18663,21 @@ snapshots:
       '@jridgewell/trace-mapping': 0.3.25
       jsesc: 3.0.2
 
+  '@babel/generator@7.28.0':
+    dependencies:
+      '@babel/parser': 7.28.0
+      '@babel/types': 7.28.0
+      '@jridgewell/gen-mapping': 0.3.12
+      '@jridgewell/trace-mapping': 0.3.29
+      jsesc: 3.0.2
+
   '@babel/helper-annotate-as-pure@7.25.9':
     dependencies:
-      '@babel/types': 7.26.0
+      '@babel/types': 7.28.0
+
+  '@babel/helper-annotate-as-pure@7.27.3':
+    dependencies:
+      '@babel/types': 7.28.0
 
   '@babel/helper-compilation-targets@7.25.2':
     dependencies:
@@ -15942,6 +18695,14 @@ snapshots:
       lru-cache: 5.1.1
       semver: 6.3.1
 
+  '@babel/helper-compilation-targets@7.27.2':
+    dependencies:
+      '@babel/compat-data': 7.28.0
+      '@babel/helper-validator-option': 7.27.1
+      browserslist: 4.25.1
+      lru-cache: 5.1.1
+      semver: 6.3.1
+
   '@babel/helper-create-class-features-plugin@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -15968,6 +18729,86 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-create-class-features-plugin@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.25.9
+      '@babel/helper-member-expression-to-functions': 7.25.9
+      '@babel/helper-optimise-call-expression': 7.25.9
+      '@babel/helper-replace-supers': 7.25.9(@babel/core@7.26.10)
+      '@babel/helper-skip-transparent-expression-wrappers': 7.25.9
+      '@babel/traverse': 7.25.9
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/helper-create-class-features-plugin@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-member-expression-to-functions': 7.27.1
+      '@babel/helper-optimise-call-expression': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+      '@babel/traverse': 7.28.0
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/helper-create-class-features-plugin@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-member-expression-to-functions': 7.27.1
+      '@babel/helper-optimise-call-expression': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+      '@babel/traverse': 7.28.0
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/helper-create-regexp-features-plugin@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-annotate-as-pure': 7.27.3
+      regexpu-core: 6.2.0
+      semver: 6.3.1
+    optional: true
+
+  '@babel/helper-create-regexp-features-plugin@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.27.3
+      regexpu-core: 6.2.0
+      semver: 6.3.1
+
+  '@babel/helper-define-polyfill-provider@0.6.5(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      debug: 4.4.1
+      lodash.debounce: 4.0.8
+      resolve: 1.22.10
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/helper-define-polyfill-provider@0.6.5(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      debug: 4.4.1
+      lodash.debounce: 4.0.8
+      resolve: 1.22.10
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/helper-globals@7.28.0': {}
+
   '@babel/helper-member-expression-to-functions@7.25.9':
     dependencies:
       '@babel/traverse': 7.25.9
@@ -15975,6 +18816,13 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-member-expression-to-functions@7.27.1':
+    dependencies:
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-module-imports@7.25.9':
     dependencies:
       '@babel/traverse': 7.25.9
@@ -15982,6 +18830,13 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-module-imports@7.27.1':
+    dependencies:
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-module-transforms@7.25.2(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16010,12 +18865,65 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-module-transforms@7.27.3(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/helper-module-transforms@7.27.3(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/helper-module-transforms@7.27.3(@babel/core@7.26.9)':
+    dependencies:
+      '@babel/core': 7.26.9
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-optimise-call-expression@7.25.9':
     dependencies:
       '@babel/types': 7.26.0
 
+  '@babel/helper-optimise-call-expression@7.27.1':
+    dependencies:
+      '@babel/types': 7.28.0
+
   '@babel/helper-plugin-utils@7.25.9': {}
 
+  '@babel/helper-plugin-utils@7.27.1': {}
+
+  '@babel/helper-remap-async-to-generator@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-wrap-function': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/helper-remap-async-to-generator@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-wrap-function': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-replace-supers@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16034,6 +18942,34 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-replace-supers@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-member-expression-to-functions': 7.25.9
+      '@babel/helper-optimise-call-expression': 7.25.9
+      '@babel/traverse': 7.25.9
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/helper-replace-supers@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-member-expression-to-functions': 7.27.1
+      '@babel/helper-optimise-call-expression': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/helper-replace-supers@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-member-expression-to-functions': 7.27.1
+      '@babel/helper-optimise-call-expression': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-simple-access@7.25.9':
     dependencies:
       '@babel/traverse': 7.25.9
@@ -16048,16 +18984,37 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/helper-skip-transparent-expression-wrappers@7.27.1':
+    dependencies:
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helper-split-export-declaration@7.24.7':
     dependencies:
-      '@babel/types': 7.26.0
+      '@babel/types': 7.28.0
 
   '@babel/helper-string-parser@7.25.9': {}
 
+  '@babel/helper-string-parser@7.27.1': {}
+
   '@babel/helper-validator-identifier@7.25.9': {}
 
+  '@babel/helper-validator-identifier@7.27.1': {}
+
   '@babel/helper-validator-option@7.25.9': {}
 
+  '@babel/helper-validator-option@7.27.1': {}
+
+  '@babel/helper-wrap-function@7.27.1':
+    dependencies:
+      '@babel/template': 7.27.2
+      '@babel/traverse': 7.28.0
+      '@babel/types': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/helpers@7.25.0':
     dependencies:
       '@babel/template': 7.25.9
@@ -16068,6 +19025,11 @@ snapshots:
       '@babel/template': 7.25.9
       '@babel/types': 7.26.0
 
+  '@babel/helpers@7.27.6':
+    dependencies:
+      '@babel/template': 7.27.2
+      '@babel/types': 7.28.0
+
   '@babel/highlight@7.25.7':
     dependencies:
       '@babel/helper-validator-identifier': 7.25.9
@@ -16079,6 +19041,85 @@ snapshots:
     dependencies:
       '@babel/types': 7.26.0
 
+  '@babel/parser@7.28.0':
+    dependencies:
+      '@babel/types': 7.28.0
+
+  '@babel/plugin-bugfix-firefox-class-in-computed-class-key@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-bugfix-firefox-class-in-computed-class-key@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-bugfix-safari-class-field-initializer-scope@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-bugfix-safari-class-field-initializer-scope@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+      '@babel/plugin-transform-optional-chaining': 7.27.1(@babel/core@7.25.2)
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+      '@babel/plugin-transform-optional-chaining': 7.27.1(@babel/core@7.26.10)
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/plugin-proposal-decorators@7.23.3(@babel/core@7.26.0)':
     dependencies:
       '@babel/core': 7.26.0
@@ -16090,25 +19131,34 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  '@babel/plugin-syntax-async-generators@7.8.4(@babel/core@7.26.0)':
+  '@babel/plugin-proposal-private-property-in-object@7.21.0-placeholder-for-preset-env.2(@babel/core@7.25.2)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.25.2
+    optional: true
 
-  '@babel/plugin-syntax-bigint@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-proposal-private-property-in-object@7.21.0-placeholder-for-preset-env.2(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
 
-  '@babel/plugin-syntax-class-properties@7.12.13(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-async-generators@7.8.4(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-class-static-block@7.14.5(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-bigint@7.8.3(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-syntax-class-properties@7.12.13(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-syntax-class-static-block@7.14.5(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
   '@babel/plugin-syntax-decorators@7.23.3(@babel/core@7.26.0)':
     dependencies:
@@ -16120,21 +19170,53 @@ snapshots:
       '@babel/core': 7.25.2
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-syntax-import-assertions@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-syntax-import-assertions@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-syntax-import-attributes@7.25.6(@babel/core@7.26.0)':
     dependencies:
       '@babel/core': 7.26.0
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-syntax-import-attributes@7.26.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-syntax-import-attributes@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-syntax-import-attributes@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-syntax-import-meta@7.10.4(@babel/core@7.26.0)':
     dependencies:
       '@babel/core': 7.26.0
       '@babel/helper-plugin-utils': 7.25.9
 
-  '@babel/plugin-syntax-json-strings@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-import-meta@7.10.4(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-syntax-json-strings@7.8.3(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-syntax-jsx@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16145,45 +19227,50 @@ snapshots:
       '@babel/core': 7.26.0
       '@babel/helper-plugin-utils': 7.25.9
 
-  '@babel/plugin-syntax-logical-assignment-operators@7.10.4(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-jsx@7.25.9(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@babel/helper-plugin-utils': 7.25.9
 
-  '@babel/plugin-syntax-nullish-coalescing-operator@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-logical-assignment-operators@7.10.4(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-numeric-separator@7.10.4(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-nullish-coalescing-operator@7.8.3(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-object-rest-spread@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-numeric-separator@7.10.4(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-optional-catch-binding@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-object-rest-spread@7.8.3(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-optional-chaining@7.8.3(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-optional-catch-binding@7.8.3(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-private-property-in-object@7.14.5(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-optional-chaining@7.8.3(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
-  '@babel/plugin-syntax-top-level-await@7.14.5(@babel/core@7.26.0)':
+  '@babel/plugin-syntax-private-property-in-object@7.14.5(@babel/core@7.26.10)':
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-syntax-top-level-await@7.14.5(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
 
   '@babel/plugin-syntax-typescript@7.25.9(@babel/core@7.25.2)':
     dependencies:
@@ -16195,6 +19282,95 @@ snapshots:
       '@babel/core': 7.26.0
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-syntax-typescript@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.25.9
+
+  '@babel/plugin-syntax-unicode-sets-regex@7.18.6(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-syntax-unicode-sets-regex@7.18.6(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-arrow-functions@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-arrow-functions@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-async-generator-functions@7.26.8(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-remap-async-to-generator': 7.27.1(@babel/core@7.25.2)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-async-generator-functions@7.26.8(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-remap-async-to-generator': 7.27.1(@babel/core@7.26.10)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-async-to-generator@7.25.9(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-remap-async-to-generator': 7.27.1(@babel/core@7.25.2)
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-async-to-generator@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-remap-async-to-generator': 7.27.1(@babel/core@7.26.10)
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-block-scoped-functions@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-block-scoped-functions@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-block-scoping@7.28.0(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-block-scoping@7.28.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-class-properties@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16203,12 +19379,259 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/plugin-transform-class-properties@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-class-features-plugin': 7.25.9(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.25.9
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-class-static-block@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-class-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-class-static-block@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-class-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-classes@7.28.0(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-globals': 7.28.0
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.25.2)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-classes@7.28.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-globals': 7.28.0
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.26.10)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-computed-properties@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/template': 7.27.2
+    optional: true
+
+  '@babel/plugin-transform-computed-properties@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/template': 7.27.2
+
+  '@babel/plugin-transform-destructuring@7.28.0(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-destructuring@7.28.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-dotall-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-dotall-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-duplicate-keys@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-duplicate-keys@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-duplicate-named-capturing-groups-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-duplicate-named-capturing-groups-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-dynamic-import@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-dynamic-import@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-exponentiation-operator@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-exponentiation-operator@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-export-namespace-from@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-export-namespace-from@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-flow-strip-types@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
       '@babel/helper-plugin-utils': 7.25.9
       '@babel/plugin-syntax-flow': 7.26.0(@babel/core@7.25.2)
 
+  '@babel/plugin-transform-for-of@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-for-of@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-function-name@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-function-name@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-json-strings@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-json-strings@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-literals@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-literals@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-logical-assignment-operators@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-logical-assignment-operators@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-member-expression-literals@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-member-expression-literals@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-modules-amd@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-modules-amd@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/plugin-transform-modules-commonjs@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16218,11 +19641,163 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/plugin-transform-modules-commonjs@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-modules-commonjs@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-modules-systemjs@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-modules-systemjs@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-modules-umd@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-modules-umd@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-transforms': 7.27.3(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-named-capturing-groups-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-named-capturing-groups-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-new-target@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-new-target@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-nullish-coalescing-operator@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-transform-nullish-coalescing-operator@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-nullish-coalescing-operator@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-numeric-separator@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-numeric-separator@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-object-rest-spread@7.28.0(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/plugin-transform-destructuring': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-parameters': 7.27.7(@babel/core@7.25.2)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-object-rest-spread@7.28.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/plugin-transform-destructuring': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-parameters': 7.27.7(@babel/core@7.26.10)
+      '@babel/traverse': 7.28.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-object-super@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.25.2)
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-object-super@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-replace-supers': 7.27.1(@babel/core@7.26.10)
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-optional-catch-binding@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-optional-catch-binding@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-optional-chaining@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16231,6 +19806,34 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/plugin-transform-optional-chaining@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-optional-chaining@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-parameters@7.27.7(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-parameters@7.27.7(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-private-methods@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16239,6 +19842,44 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/plugin-transform-private-methods@7.25.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-class-features-plugin': 7.25.9(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.25.9
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-private-property-in-object@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-create-class-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-private-property-in-object@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-annotate-as-pure': 7.27.3
+      '@babel/helper-create-class-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-property-literals@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-property-literals@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-react-jsx-self@7.25.9(@babel/core@7.26.0)':
     dependencies:
       '@babel/core': 7.26.0
@@ -16249,6 +19890,114 @@ snapshots:
       '@babel/core': 7.26.0
       '@babel/helper-plugin-utils': 7.25.9
 
+  '@babel/plugin-transform-regenerator@7.28.0(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-regenerator@7.28.0(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-regexp-modifiers@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-regexp-modifiers@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-reserved-words@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-reserved-words@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-runtime@7.26.10(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-module-imports': 7.27.1
+      '@babel/helper-plugin-utils': 7.27.1
+      babel-plugin-polyfill-corejs2: 0.4.14(@babel/core@7.26.10)
+      babel-plugin-polyfill-corejs3: 0.11.1(@babel/core@7.26.10)
+      babel-plugin-polyfill-regenerator: 0.6.5(@babel/core@7.26.10)
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-shorthand-properties@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-shorthand-properties@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-spread@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/plugin-transform-spread@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-skip-transparent-expression-wrappers': 7.27.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@babel/plugin-transform-sticky-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-sticky-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-template-literals@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-template-literals@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-typeof-symbol@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-typeof-symbol@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
   '@babel/plugin-transform-typescript@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16271,6 +20020,207 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/plugin-transform-unicode-escapes@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-unicode-escapes@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-unicode-property-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-unicode-property-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-unicode-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-unicode-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/plugin-transform-unicode-sets-regex@7.27.1(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.25.2)
+      '@babel/helper-plugin-utils': 7.27.1
+    optional: true
+
+  '@babel/plugin-transform-unicode-sets-regex@7.27.1(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-create-regexp-features-plugin': 7.27.1(@babel/core@7.26.10)
+      '@babel/helper-plugin-utils': 7.27.1
+
+  '@babel/preset-env@7.26.9(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/compat-data': 7.28.0
+      '@babel/core': 7.25.2
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-validator-option': 7.27.1
+      '@babel/plugin-bugfix-firefox-class-in-computed-class-key': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-bugfix-safari-class-field-initializer-scope': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-proposal-private-property-in-object': 7.21.0-placeholder-for-preset-env.2(@babel/core@7.25.2)
+      '@babel/plugin-syntax-import-assertions': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-syntax-import-attributes': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-syntax-unicode-sets-regex': 7.18.6(@babel/core@7.25.2)
+      '@babel/plugin-transform-arrow-functions': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-async-generator-functions': 7.26.8(@babel/core@7.25.2)
+      '@babel/plugin-transform-async-to-generator': 7.25.9(@babel/core@7.25.2)
+      '@babel/plugin-transform-block-scoped-functions': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-block-scoping': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-class-properties': 7.25.9(@babel/core@7.25.2)
+      '@babel/plugin-transform-class-static-block': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-classes': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-computed-properties': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-destructuring': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-dotall-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-duplicate-keys': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-duplicate-named-capturing-groups-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-dynamic-import': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-exponentiation-operator': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-export-namespace-from': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-for-of': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-function-name': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-json-strings': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-literals': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-logical-assignment-operators': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-member-expression-literals': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-modules-amd': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-modules-commonjs': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-modules-systemjs': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-modules-umd': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-named-capturing-groups-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-new-target': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-nullish-coalescing-operator': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-numeric-separator': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-object-rest-spread': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-object-super': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-optional-catch-binding': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-optional-chaining': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-parameters': 7.27.7(@babel/core@7.25.2)
+      '@babel/plugin-transform-private-methods': 7.25.9(@babel/core@7.25.2)
+      '@babel/plugin-transform-private-property-in-object': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-property-literals': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-regenerator': 7.28.0(@babel/core@7.25.2)
+      '@babel/plugin-transform-regexp-modifiers': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-reserved-words': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-shorthand-properties': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-spread': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-sticky-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-template-literals': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-typeof-symbol': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-unicode-escapes': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-unicode-property-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-unicode-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/plugin-transform-unicode-sets-regex': 7.27.1(@babel/core@7.25.2)
+      '@babel/preset-modules': 0.1.6-no-external-plugins(@babel/core@7.25.2)
+      babel-plugin-polyfill-corejs2: 0.4.14(@babel/core@7.25.2)
+      babel-plugin-polyfill-corejs3: 0.11.1(@babel/core@7.25.2)
+      babel-plugin-polyfill-regenerator: 0.6.5(@babel/core@7.25.2)
+      core-js-compat: 3.44.0
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  '@babel/preset-env@7.26.9(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/compat-data': 7.28.0
+      '@babel/core': 7.26.10
+      '@babel/helper-compilation-targets': 7.27.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/helper-validator-option': 7.27.1
+      '@babel/plugin-bugfix-firefox-class-in-computed-class-key': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-bugfix-safari-class-field-initializer-scope': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-proposal-private-property-in-object': 7.21.0-placeholder-for-preset-env.2(@babel/core@7.26.10)
+      '@babel/plugin-syntax-import-assertions': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-syntax-import-attributes': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-syntax-unicode-sets-regex': 7.18.6(@babel/core@7.26.10)
+      '@babel/plugin-transform-arrow-functions': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-async-generator-functions': 7.26.8(@babel/core@7.26.10)
+      '@babel/plugin-transform-async-to-generator': 7.25.9(@babel/core@7.26.10)
+      '@babel/plugin-transform-block-scoped-functions': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-block-scoping': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-class-properties': 7.25.9(@babel/core@7.26.10)
+      '@babel/plugin-transform-class-static-block': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-classes': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-computed-properties': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-destructuring': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-dotall-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-duplicate-keys': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-duplicate-named-capturing-groups-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-dynamic-import': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-exponentiation-operator': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-export-namespace-from': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-for-of': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-function-name': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-json-strings': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-literals': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-logical-assignment-operators': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-member-expression-literals': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-modules-amd': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-modules-commonjs': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-modules-systemjs': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-modules-umd': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-named-capturing-groups-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-new-target': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-nullish-coalescing-operator': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-numeric-separator': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-object-rest-spread': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-object-super': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-optional-catch-binding': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-optional-chaining': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-parameters': 7.27.7(@babel/core@7.26.10)
+      '@babel/plugin-transform-private-methods': 7.25.9(@babel/core@7.26.10)
+      '@babel/plugin-transform-private-property-in-object': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-property-literals': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-regenerator': 7.28.0(@babel/core@7.26.10)
+      '@babel/plugin-transform-regexp-modifiers': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-reserved-words': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-shorthand-properties': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-spread': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-sticky-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-template-literals': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-typeof-symbol': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-unicode-escapes': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-unicode-property-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-unicode-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-transform-unicode-sets-regex': 7.27.1(@babel/core@7.26.10)
+      '@babel/preset-modules': 0.1.6-no-external-plugins(@babel/core@7.26.10)
+      babel-plugin-polyfill-corejs2: 0.4.14(@babel/core@7.26.10)
+      babel-plugin-polyfill-corejs3: 0.11.1(@babel/core@7.26.10)
+      babel-plugin-polyfill-regenerator: 0.6.5(@babel/core@7.26.10)
+      core-js-compat: 3.44.0
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/preset-flow@7.25.9(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16278,6 +20228,21 @@ snapshots:
       '@babel/helper-validator-option': 7.25.9
       '@babel/plugin-transform-flow-strip-types': 7.25.9(@babel/core@7.25.2)
 
+  '@babel/preset-modules@0.1.6-no-external-plugins(@babel/core@7.25.2)':
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/types': 7.28.0
+      esutils: 2.0.3
+    optional: true
+
+  '@babel/preset-modules@0.1.6-no-external-plugins(@babel/core@7.26.10)':
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-plugin-utils': 7.27.1
+      '@babel/types': 7.28.0
+      esutils: 2.0.3
+
   '@babel/preset-typescript@7.26.0(@babel/core@7.25.2)':
     dependencies:
       '@babel/core': 7.25.2
@@ -16302,6 +20267,10 @@ snapshots:
     dependencies:
       regenerator-runtime: 0.14.1
 
+  '@babel/runtime@7.26.10':
+    dependencies:
+      regenerator-runtime: 0.14.1
+
   '@babel/standalone@7.26.2': {}
 
   '@babel/template@7.25.0':
@@ -16316,6 +20285,12 @@ snapshots:
       '@babel/parser': 7.26.2
       '@babel/types': 7.26.0
 
+  '@babel/template@7.27.2':
+    dependencies:
+      '@babel/code-frame': 7.27.1
+      '@babel/parser': 7.28.0
+      '@babel/types': 7.28.0
+
   '@babel/traverse@7.25.9':
     dependencies:
       '@babel/code-frame': 7.26.2
@@ -16323,16 +20298,33 @@ snapshots:
       '@babel/parser': 7.26.2
       '@babel/template': 7.25.9
       '@babel/types': 7.26.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       globals: 11.12.0
     transitivePeerDependencies:
       - supports-color
 
+  '@babel/traverse@7.28.0':
+    dependencies:
+      '@babel/code-frame': 7.27.1
+      '@babel/generator': 7.28.0
+      '@babel/helper-globals': 7.28.0
+      '@babel/parser': 7.28.0
+      '@babel/template': 7.27.2
+      '@babel/types': 7.28.0
+      debug: 4.4.1
+    transitivePeerDependencies:
+      - supports-color
+
   '@babel/types@7.26.0':
     dependencies:
       '@babel/helper-string-parser': 7.25.9
       '@babel/helper-validator-identifier': 7.25.9
 
+  '@babel/types@7.28.0':
+    dependencies:
+      '@babel/helper-string-parser': 7.27.1
+      '@babel/helper-validator-identifier': 7.27.1
+
   '@bcoe/v8-coverage@0.2.3': {}
 
   '@bundled-es-modules/cookie@2.0.1':
@@ -16362,7 +20354,7 @@ snapshots:
       outdent: 0.5.0
       prettier: 2.8.8
       resolve-from: 5.0.0
-      semver: 7.6.3
+      semver: 7.7.1
 
   '@changesets/assemble-release-plan@6.0.5':
     dependencies:
@@ -16371,7 +20363,7 @@ snapshots:
       '@changesets/should-skip-package': 0.1.1
       '@changesets/types': 6.0.0
       '@manypkg/get-packages': 1.1.3
-      semver: 7.6.3
+      semver: 7.7.1
 
   '@changesets/changelog-git@0.2.0':
     dependencies:
@@ -16427,7 +20419,7 @@ snapshots:
       '@changesets/types': 6.0.0
       '@manypkg/get-packages': 1.1.3
       picocolors: 1.1.1
-      semver: 7.6.3
+      semver: 7.7.1
 
   '@changesets/get-release-plan@4.0.5':
     dependencies:
@@ -16529,6 +20521,8 @@ snapshots:
     dependencies:
       postcss-selector-parser: 7.0.0
 
+  '@discoveryjs/json-ext@0.6.3': {}
+
   '@edge-runtime/primitives@6.0.0': {}
 
   '@edge-runtime/vm@5.0.0':
@@ -16563,6 +20557,9 @@ snapshots:
   '@esbuild/aix-ppc64@0.24.2':
     optional: true
 
+  '@esbuild/aix-ppc64@0.25.4':
+    optional: true
+
   '@esbuild/android-arm64@0.18.20':
     optional: true
 
@@ -16584,6 +20581,9 @@ snapshots:
   '@esbuild/android-arm64@0.24.2':
     optional: true
 
+  '@esbuild/android-arm64@0.25.4':
+    optional: true
+
   '@esbuild/android-arm@0.18.20':
     optional: true
 
@@ -16605,6 +20605,9 @@ snapshots:
   '@esbuild/android-arm@0.24.2':
     optional: true
 
+  '@esbuild/android-arm@0.25.4':
+    optional: true
+
   '@esbuild/android-x64@0.18.20':
     optional: true
 
@@ -16626,6 +20629,9 @@ snapshots:
   '@esbuild/android-x64@0.24.2':
     optional: true
 
+  '@esbuild/android-x64@0.25.4':
+    optional: true
+
   '@esbuild/darwin-arm64@0.18.20':
     optional: true
 
@@ -16647,6 +20653,9 @@ snapshots:
   '@esbuild/darwin-arm64@0.24.2':
     optional: true
 
+  '@esbuild/darwin-arm64@0.25.4':
+    optional: true
+
   '@esbuild/darwin-x64@0.18.20':
     optional: true
 
@@ -16668,6 +20677,9 @@ snapshots:
   '@esbuild/darwin-x64@0.24.2':
     optional: true
 
+  '@esbuild/darwin-x64@0.25.4':
+    optional: true
+
   '@esbuild/freebsd-arm64@0.18.20':
     optional: true
 
@@ -16689,6 +20701,9 @@ snapshots:
   '@esbuild/freebsd-arm64@0.24.2':
     optional: true
 
+  '@esbuild/freebsd-arm64@0.25.4':
+    optional: true
+
   '@esbuild/freebsd-x64@0.18.20':
     optional: true
 
@@ -16710,6 +20725,9 @@ snapshots:
   '@esbuild/freebsd-x64@0.24.2':
     optional: true
 
+  '@esbuild/freebsd-x64@0.25.4':
+    optional: true
+
   '@esbuild/linux-arm64@0.18.20':
     optional: true
 
@@ -16731,6 +20749,9 @@ snapshots:
   '@esbuild/linux-arm64@0.24.2':
     optional: true
 
+  '@esbuild/linux-arm64@0.25.4':
+    optional: true
+
   '@esbuild/linux-arm@0.18.20':
     optional: true
 
@@ -16752,6 +20773,9 @@ snapshots:
   '@esbuild/linux-arm@0.24.2':
     optional: true
 
+  '@esbuild/linux-arm@0.25.4':
+    optional: true
+
   '@esbuild/linux-ia32@0.18.20':
     optional: true
 
@@ -16773,6 +20797,9 @@ snapshots:
   '@esbuild/linux-ia32@0.24.2':
     optional: true
 
+  '@esbuild/linux-ia32@0.25.4':
+    optional: true
+
   '@esbuild/linux-loong64@0.18.20':
     optional: true
 
@@ -16794,6 +20821,9 @@ snapshots:
   '@esbuild/linux-loong64@0.24.2':
     optional: true
 
+  '@esbuild/linux-loong64@0.25.4':
+    optional: true
+
   '@esbuild/linux-mips64el@0.18.20':
     optional: true
 
@@ -16815,6 +20845,9 @@ snapshots:
   '@esbuild/linux-mips64el@0.24.2':
     optional: true
 
+  '@esbuild/linux-mips64el@0.25.4':
+    optional: true
+
   '@esbuild/linux-ppc64@0.18.20':
     optional: true
 
@@ -16836,6 +20869,9 @@ snapshots:
   '@esbuild/linux-ppc64@0.24.2':
     optional: true
 
+  '@esbuild/linux-ppc64@0.25.4':
+    optional: true
+
   '@esbuild/linux-riscv64@0.18.20':
     optional: true
 
@@ -16857,6 +20893,9 @@ snapshots:
   '@esbuild/linux-riscv64@0.24.2':
     optional: true
 
+  '@esbuild/linux-riscv64@0.25.4':
+    optional: true
+
   '@esbuild/linux-s390x@0.18.20':
     optional: true
 
@@ -16878,6 +20917,9 @@ snapshots:
   '@esbuild/linux-s390x@0.24.2':
     optional: true
 
+  '@esbuild/linux-s390x@0.25.4':
+    optional: true
+
   '@esbuild/linux-x64@0.18.20':
     optional: true
 
@@ -16899,9 +20941,15 @@ snapshots:
   '@esbuild/linux-x64@0.24.2':
     optional: true
 
+  '@esbuild/linux-x64@0.25.4':
+    optional: true
+
   '@esbuild/netbsd-arm64@0.24.2':
     optional: true
 
+  '@esbuild/netbsd-arm64@0.25.4':
+    optional: true
+
   '@esbuild/netbsd-x64@0.18.20':
     optional: true
 
@@ -16923,6 +20971,9 @@ snapshots:
   '@esbuild/netbsd-x64@0.24.2':
     optional: true
 
+  '@esbuild/netbsd-x64@0.25.4':
+    optional: true
+
   '@esbuild/openbsd-arm64@0.23.0':
     optional: true
 
@@ -16935,6 +20986,9 @@ snapshots:
   '@esbuild/openbsd-arm64@0.24.2':
     optional: true
 
+  '@esbuild/openbsd-arm64@0.25.4':
+    optional: true
+
   '@esbuild/openbsd-x64@0.18.20':
     optional: true
 
@@ -16956,6 +21010,9 @@ snapshots:
   '@esbuild/openbsd-x64@0.24.2':
     optional: true
 
+  '@esbuild/openbsd-x64@0.25.4':
+    optional: true
+
   '@esbuild/sunos-x64@0.18.20':
     optional: true
 
@@ -16977,6 +21034,9 @@ snapshots:
   '@esbuild/sunos-x64@0.24.2':
     optional: true
 
+  '@esbuild/sunos-x64@0.25.4':
+    optional: true
+
   '@esbuild/win32-arm64@0.18.20':
     optional: true
 
@@ -16998,6 +21058,9 @@ snapshots:
   '@esbuild/win32-arm64@0.24.2':
     optional: true
 
+  '@esbuild/win32-arm64@0.25.4':
+    optional: true
+
   '@esbuild/win32-ia32@0.18.20':
     optional: true
 
@@ -17019,6 +21082,9 @@ snapshots:
   '@esbuild/win32-ia32@0.24.2':
     optional: true
 
+  '@esbuild/win32-ia32@0.25.4':
+    optional: true
+
   '@esbuild/win32-x64@0.18.20':
     optional: true
 
@@ -17040,6 +21106,9 @@ snapshots:
   '@esbuild/win32-x64@0.24.2':
     optional: true
 
+  '@esbuild/win32-x64@0.25.4':
+    optional: true
+
   '@eslint-community/eslint-utils@4.4.1(eslint@8.57.1)':
     dependencies:
       eslint: 8.57.1
@@ -17364,6 +21433,16 @@ snapshots:
   '@img/sharp-win32-x64@0.34.1':
     optional: true
 
+  '@inquirer/checkbox@4.1.9(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/figures': 1.0.12
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      ansi-escapes: 4.3.2
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
   '@inquirer/confirm@5.0.2(@types/node@20.17.24)':
     dependencies:
       '@inquirer/core': 10.1.0(@types/node@20.17.24)
@@ -17377,6 +21456,20 @@ snapshots:
       '@types/node': 22.7.4
     optional: true
 
+  '@inquirer/confirm@5.1.13(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/confirm@5.1.6(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+    optionalDependencies:
+      '@types/node': 20.17.24
+
   '@inquirer/core@10.1.0(@types/node@20.17.24)':
     dependencies:
       '@inquirer/figures': 1.0.8
@@ -17406,8 +21499,107 @@ snapshots:
       - '@types/node'
     optional: true
 
+  '@inquirer/core@10.1.14(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/figures': 1.0.12
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      ansi-escapes: 4.3.2
+      cli-width: 4.1.0
+      mute-stream: 2.0.0
+      signal-exit: 4.1.0
+      wrap-ansi: 6.2.0
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/editor@4.2.14(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      external-editor: 3.1.0
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/expand@4.0.16(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/figures@1.0.12': {}
+
   '@inquirer/figures@1.0.8': {}
 
+  '@inquirer/input@4.2.0(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/number@3.0.16(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/password@4.0.16(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      ansi-escapes: 4.3.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/prompts@7.3.2(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/checkbox': 4.1.9(@types/node@20.17.24)
+      '@inquirer/confirm': 5.1.13(@types/node@20.17.24)
+      '@inquirer/editor': 4.2.14(@types/node@20.17.24)
+      '@inquirer/expand': 4.0.16(@types/node@20.17.24)
+      '@inquirer/input': 4.2.0(@types/node@20.17.24)
+      '@inquirer/number': 3.0.16(@types/node@20.17.24)
+      '@inquirer/password': 4.0.16(@types/node@20.17.24)
+      '@inquirer/rawlist': 4.1.4(@types/node@20.17.24)
+      '@inquirer/search': 3.0.16(@types/node@20.17.24)
+      '@inquirer/select': 4.2.4(@types/node@20.17.24)
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/rawlist@4.1.4(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/search@3.0.16(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/figures': 1.0.12
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/select@4.2.4(@types/node@20.17.24)':
+    dependencies:
+      '@inquirer/core': 10.1.14(@types/node@20.17.24)
+      '@inquirer/figures': 1.0.12
+      '@inquirer/type': 3.0.7(@types/node@20.17.24)
+      ansi-escapes: 4.3.2
+      yoctocolors-cjs: 2.1.2
+    optionalDependencies:
+      '@types/node': 20.17.24
+
+  '@inquirer/type@1.5.5':
+    dependencies:
+      mute-stream: 1.0.0
+
   '@inquirer/type@3.0.1(@types/node@20.17.24)':
     dependencies:
       '@types/node': 20.17.24
@@ -17417,6 +21609,10 @@ snapshots:
       '@types/node': 22.7.4
     optional: true
 
+  '@inquirer/type@3.0.7(@types/node@20.17.24)':
+    optionalDependencies:
+      '@types/node': 20.17.24
+
   '@internationalized/date@3.7.0':
     dependencies:
       '@swc/helpers': 0.5.15
@@ -17490,6 +21686,42 @@ snapshots:
       - supports-color
       - ts-node
 
+  '@jest/core@29.7.0(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))':
+    dependencies:
+      '@jest/console': 29.7.0
+      '@jest/reporters': 29.7.0
+      '@jest/test-result': 29.7.0
+      '@jest/transform': 29.7.0
+      '@jest/types': 29.6.3
+      '@types/node': 20.17.24
+      ansi-escapes: 4.3.2
+      chalk: 4.1.2
+      ci-info: 3.9.0
+      exit: 0.1.2
+      graceful-fs: 4.2.11
+      jest-changed-files: 29.7.0
+      jest-config: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      jest-haste-map: 29.7.0
+      jest-message-util: 29.7.0
+      jest-regex-util: 29.6.3
+      jest-resolve: 29.7.0
+      jest-resolve-dependencies: 29.7.0
+      jest-runner: 29.7.0
+      jest-runtime: 29.7.0
+      jest-snapshot: 29.7.0
+      jest-util: 29.7.0
+      jest-validate: 29.7.0
+      jest-watcher: 29.7.0
+      micromatch: 4.0.8
+      pretty-format: 29.7.0
+      slash: 3.0.0
+      strip-ansi: 6.0.1
+    transitivePeerDependencies:
+      - babel-plugin-macros
+      - supports-color
+      - ts-node
+    optional: true
+
   '@jest/environment@29.7.0':
     dependencies:
       '@jest/fake-timers': 29.7.0
@@ -17561,7 +21793,7 @@ snapshots:
 
   '@jest/source-map@29.6.3':
     dependencies:
-      '@jridgewell/trace-mapping': 0.3.25
+      '@jridgewell/trace-mapping': 0.3.29
       callsites: 3.1.0
       graceful-fs: 4.2.11
 
@@ -17581,7 +21813,7 @@ snapshots:
 
   '@jest/transform@29.7.0':
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@jest/types': 29.6.3
       '@jridgewell/trace-mapping': 0.3.25
       babel-plugin-istanbul: 6.1.1
@@ -18106,6 +22338,11 @@ snapshots:
       '@babel/runtime': 7.25.7
       regenerator-runtime: 0.13.11
 
+  '@jridgewell/gen-mapping@0.3.12':
+    dependencies:
+      '@jridgewell/sourcemap-codec': 1.5.0
+      '@jridgewell/trace-mapping': 0.3.29
+
   '@jridgewell/gen-mapping@0.3.8':
     dependencies:
       '@jridgewell/set-array': 1.2.1
@@ -18128,6 +22365,11 @@ snapshots:
       '@jridgewell/resolve-uri': 3.1.1
       '@jridgewell/sourcemap-codec': 1.5.0
 
+  '@jridgewell/trace-mapping@0.3.29':
+    dependencies:
+      '@jridgewell/resolve-uri': 3.1.1
+      '@jridgewell/sourcemap-codec': 1.5.0
+
   '@jridgewell/trace-mapping@0.3.9':
     dependencies:
       '@jridgewell/resolve-uri': 3.1.1
@@ -18135,9 +22377,25 @@ snapshots:
 
   '@js-sdsl/ordered-map@4.4.2': {}
 
+  '@jsonjoy.com/base64@1.1.2(tslib@2.8.1)':
+    dependencies:
+      tslib: 2.8.1
+
+  '@jsonjoy.com/json-pack@1.2.0(tslib@2.8.1)':
+    dependencies:
+      '@jsonjoy.com/base64': 1.1.2(tslib@2.8.1)
+      '@jsonjoy.com/util': 1.6.0(tslib@2.8.1)
+      hyperdyperid: 1.2.0
+      thingies: 1.21.0(tslib@2.8.1)
+      tslib: 2.8.1
+
+  '@jsonjoy.com/util@1.6.0(tslib@2.8.1)':
+    dependencies:
+      tslib: 2.8.1
+
   '@koa/router@12.0.1':
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       http-errors: 2.0.0
       koa-compose: 4.1.0
       methods: 1.1.2
@@ -18147,22 +22405,22 @@ snapshots:
 
   '@kwsites/file-exists@1.1.1':
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
     transitivePeerDependencies:
       - supports-color
 
   '@kwsites/promise-deferred@1.1.1': {}
 
-  '@langchain/community@0.0.57(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.49))(redis@4.7.0)(ws@8.18.0)':
+  '@langchain/community@0.0.57(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(encoding@0.1.13)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.76))(redis@4.7.0)(ws@8.18.0)':
     dependencies:
-      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
-      '@langchain/openai': 0.0.28
+      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
+      '@langchain/openai': 0.0.28(encoding@0.1.13)
       expr-eval: 2.0.2
       flat: 5.0.2
-      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       uuid: 9.0.1
-      zod: 3.25.49
-      zod-to-json-schema: 3.24.1(zod@3.25.49)
+      zod: 3.25.76
+      zod-to-json-schema: 3.24.1(zod@3.25.76)
     optionalDependencies:
       '@aws-crypto/sha256-js': 5.2.0
       '@aws-sdk/client-bedrock-runtime': 3.663.0
@@ -18179,61 +22437,86 @@ snapshots:
       - encoding
       - openai
 
-  '@langchain/core@0.1.63(openai@4.52.6)':
+  '@langchain/core@0.1.63(openai@4.52.6(encoding@0.1.13))':
     dependencies:
       ansi-styles: 5.2.0
       camelcase: 6.3.0
       decamelize: 1.2.0
       js-tiktoken: 1.0.12
-      langsmith: 0.1.23(openai@4.52.6)
+      langsmith: 0.1.23(openai@4.52.6(encoding@0.1.13))
       ml-distance: 4.0.1
       mustache: 4.2.0
       p-queue: 6.6.2
       p-retry: 4.6.2
       uuid: 9.0.1
-      zod: 3.25.49
-      zod-to-json-schema: 3.23.5(zod@3.25.49)
+      zod: 3.25.76
+      zod-to-json-schema: 3.23.5(zod@3.25.76)
     transitivePeerDependencies:
       - openai
 
-  '@langchain/core@0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.49))':
+  '@langchain/core@0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.76))':
     dependencies:
       ansi-styles: 5.2.0
       camelcase: 6.3.0
       decamelize: 1.2.0
       js-tiktoken: 1.0.12
-      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       ml-distance: 4.0.1
       mustache: 4.2.0
       p-queue: 6.6.2
       p-retry: 4.6.2
       uuid: 9.0.1
-      zod: 3.25.49
-      zod-to-json-schema: 3.23.5(zod@3.25.49)
+      zod: 3.25.76
+      zod-to-json-schema: 3.23.5(zod@3.25.76)
     transitivePeerDependencies:
       - openai
 
-  '@langchain/openai@0.0.28':
+  '@langchain/openai@0.0.28(encoding@0.1.13)':
     dependencies:
-      '@langchain/core': 0.1.63(openai@4.52.6)
+      '@langchain/core': 0.1.63(openai@4.52.6(encoding@0.1.13))
       js-tiktoken: 1.0.12
-      openai: 4.52.6
-      zod: 3.25.49
-      zod-to-json-schema: 3.23.5(zod@3.25.49)
+      openai: 4.52.6(encoding@0.1.13)
+      zod: 3.25.76
+      zod-to-json-schema: 3.23.5(zod@3.25.76)
     transitivePeerDependencies:
       - encoding
 
-  '@langchain/textsplitters@0.0.2(openai@5.6.0(ws@8.18.0)(zod@3.25.49))':
+  '@langchain/textsplitters@0.0.2(openai@5.6.0(ws@8.18.0)(zod@3.25.76))':
     dependencies:
-      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       js-tiktoken: 1.0.12
     transitivePeerDependencies:
       - openai
 
+  '@leichtgewicht/ip-codec@2.0.5': {}
+
+  '@listr2/prompt-adapter-inquirer@2.0.18(@inquirer/prompts@7.3.2(@types/node@20.17.24))':
+    dependencies:
+      '@inquirer/prompts': 7.3.2(@types/node@20.17.24)
+      '@inquirer/type': 1.5.5
+
   '@ljharb/through@2.3.13':
     dependencies:
       call-bind: 1.0.7
 
+  '@lmdb/lmdb-darwin-arm64@3.2.6':
+    optional: true
+
+  '@lmdb/lmdb-darwin-x64@3.2.6':
+    optional: true
+
+  '@lmdb/lmdb-linux-arm64@3.2.6':
+    optional: true
+
+  '@lmdb/lmdb-linux-arm@3.2.6':
+    optional: true
+
+  '@lmdb/lmdb-linux-x64@3.2.6':
+    optional: true
+
+  '@lmdb/lmdb-win32-x64@3.2.6':
+    optional: true
+
   '@lukeed/csprng@1.1.0': {}
 
   '@manypkg/find-root@1.1.0':
@@ -18252,29 +22535,29 @@ snapshots:
       globby: 11.1.0
       read-yaml-file: 1.1.0
 
-  '@mapbox/node-pre-gyp@1.0.11':
+  '@mapbox/node-pre-gyp@1.0.11(encoding@0.1.13)':
     dependencies:
       detect-libc: 2.0.3
       https-proxy-agent: 5.0.1
       make-dir: 3.1.0
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       nopt: 5.0.0
       npmlog: 5.0.1
       rimraf: 3.0.2
-      semver: 7.6.3
+      semver: 7.7.1
       tar: 6.2.0
     transitivePeerDependencies:
       - encoding
       - supports-color
 
-  '@mapbox/node-pre-gyp@2.0.0':
+  '@mapbox/node-pre-gyp@2.0.0(encoding@0.1.13)':
     dependencies:
       consola: 3.2.3
       detect-libc: 2.0.3
       https-proxy-agent: 7.0.6(supports-color@9.4.0)
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       nopt: 8.1.0
-      semver: 7.6.3
+      semver: 7.7.1
       tar: 7.4.3
     transitivePeerDependencies:
       - encoding
@@ -18290,11 +22573,29 @@ snapshots:
       express-rate-limit: 7.5.0(express@5.0.1)
       pkce-challenge: 5.0.0
       raw-body: 3.0.0
-      zod: 3.25.49
-      zod-to-json-schema: 3.24.1(zod@3.25.49)
+      zod: 3.25.76
+      zod-to-json-schema: 3.24.1(zod@3.25.76)
     transitivePeerDependencies:
       - supports-color
 
+  '@msgpackr-extract/msgpackr-extract-darwin-arm64@3.0.3':
+    optional: true
+
+  '@msgpackr-extract/msgpackr-extract-darwin-x64@3.0.3':
+    optional: true
+
+  '@msgpackr-extract/msgpackr-extract-linux-arm64@3.0.3':
+    optional: true
+
+  '@msgpackr-extract/msgpackr-extract-linux-arm@3.0.3':
+    optional: true
+
+  '@msgpackr-extract/msgpackr-extract-linux-x64@3.0.3':
+    optional: true
+
+  '@msgpackr-extract/msgpackr-extract-win32-x64@3.0.3':
+    optional: true
+
   '@mswjs/interceptors@0.36.10':
     dependencies:
       '@open-draft/deferred-promise': 2.2.0
@@ -18313,6 +22614,74 @@ snapshots:
       outvariant: 1.4.3
       strict-event-emitter: 0.5.1
 
+  '@napi-rs/nice-android-arm-eabi@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-android-arm64@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-darwin-arm64@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-darwin-x64@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-freebsd-x64@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-arm-gnueabihf@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-arm64-gnu@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-arm64-musl@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-ppc64-gnu@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-riscv64-gnu@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-s390x-gnu@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-x64-gnu@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-linux-x64-musl@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-win32-arm64-msvc@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-win32-ia32-msvc@1.0.4':
+    optional: true
+
+  '@napi-rs/nice-win32-x64-msvc@1.0.4':
+    optional: true
+
+  '@napi-rs/nice@1.0.4':
+    optionalDependencies:
+      '@napi-rs/nice-android-arm-eabi': 1.0.4
+      '@napi-rs/nice-android-arm64': 1.0.4
+      '@napi-rs/nice-darwin-arm64': 1.0.4
+      '@napi-rs/nice-darwin-x64': 1.0.4
+      '@napi-rs/nice-freebsd-x64': 1.0.4
+      '@napi-rs/nice-linux-arm-gnueabihf': 1.0.4
+      '@napi-rs/nice-linux-arm64-gnu': 1.0.4
+      '@napi-rs/nice-linux-arm64-musl': 1.0.4
+      '@napi-rs/nice-linux-ppc64-gnu': 1.0.4
+      '@napi-rs/nice-linux-riscv64-gnu': 1.0.4
+      '@napi-rs/nice-linux-s390x-gnu': 1.0.4
+      '@napi-rs/nice-linux-x64-gnu': 1.0.4
+      '@napi-rs/nice-linux-x64-musl': 1.0.4
+      '@napi-rs/nice-win32-arm64-msvc': 1.0.4
+      '@napi-rs/nice-win32-ia32-msvc': 1.0.4
+      '@napi-rs/nice-win32-x64-msvc': 1.0.4
+    optional: true
+
   '@nestjs/cli@10.4.8':
     dependencies:
       '@angular-devkit/core': 17.3.11(chokidar@3.6.0)
@@ -18347,10 +22716,10 @@ snapshots:
       tslib: 2.8.1
       uid: 2.0.2
 
-  '@nestjs/core@10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(reflect-metadata@0.2.2)(rxjs@7.8.1)':
+  '@nestjs/core@10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(encoding@0.1.13)(reflect-metadata@0.2.2)(rxjs@7.8.1)':
     dependencies:
       '@nestjs/common': 10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1)
-      '@nuxtjs/opencollective': 0.3.2
+      '@nuxtjs/opencollective': 0.3.2(encoding@0.1.13)
       fast-safe-stringify: 2.1.1
       iterare: 1.2.1
       path-to-regexp: 3.3.0
@@ -18366,7 +22735,7 @@ snapshots:
   '@nestjs/platform-express@10.4.9(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/core@10.4.2)':
     dependencies:
       '@nestjs/common': 10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1)
-      '@nestjs/core': 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(reflect-metadata@0.2.2)(rxjs@7.8.1)
+      '@nestjs/core': 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(encoding@0.1.13)(reflect-metadata@0.2.2)(rxjs@7.8.1)
       body-parser: 1.20.3
       cors: 2.8.5
       express: 4.21.1
@@ -18400,7 +22769,7 @@ snapshots:
   '@nestjs/testing@10.4.12(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/core@10.4.2)(@nestjs/platform-express@10.4.9)':
     dependencies:
       '@nestjs/common': 10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1)
-      '@nestjs/core': 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(reflect-metadata@0.2.2)(rxjs@7.8.1)
+      '@nestjs/core': 10.4.2(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/platform-express@10.4.9)(encoding@0.1.13)(reflect-metadata@0.2.2)(rxjs@7.8.1)
       tslib: 2.8.1
     optionalDependencies:
       '@nestjs/platform-express': 10.4.9(@nestjs/common@10.4.15(reflect-metadata@0.2.2)(rxjs@7.8.1))(@nestjs/core@10.4.2)
@@ -18527,6 +22896,12 @@ snapshots:
   '@next/swc-win32-x64-msvc@15.3.3':
     optional: true
 
+  '@ngtools/webpack@19.2.15(@angular/compiler-cli@19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3))(typescript@5.8.3)(webpack@5.98.0(esbuild@0.25.4))':
+    dependencies:
+      '@angular/compiler-cli': 19.2.14(@angular/compiler@19.2.14)(typescript@5.8.3)
+      typescript: 5.8.3
+      webpack: 5.98.0(esbuild@0.25.4)
+
   '@nodelib/fs.scandir@2.1.5':
     dependencies:
       '@nodelib/fs.stat': 2.0.5
@@ -18539,14 +22914,73 @@ snapshots:
       '@nodelib/fs.scandir': 2.1.5
       fastq: 1.19.1
 
+  '@npmcli/agent@3.0.0':
+    dependencies:
+      agent-base: 7.1.3
+      http-proxy-agent: 7.0.2
+      https-proxy-agent: 7.0.6(supports-color@9.4.0)
+      lru-cache: 10.4.3
+      socks-proxy-agent: 8.0.5
+    transitivePeerDependencies:
+      - supports-color
+
+  '@npmcli/fs@4.0.0':
+    dependencies:
+      semver: 7.7.1
+
+  '@npmcli/git@6.0.3':
+    dependencies:
+      '@npmcli/promise-spawn': 8.0.2
+      ini: 5.0.0
+      lru-cache: 10.4.3
+      npm-pick-manifest: 10.0.0
+      proc-log: 5.0.0
+      promise-retry: 2.0.1
+      semver: 7.7.1
+      which: 5.0.0
+
+  '@npmcli/installed-package-contents@3.0.0':
+    dependencies:
+      npm-bundled: 4.0.0
+      npm-normalize-package-bin: 4.0.0
+
+  '@npmcli/node-gyp@4.0.0': {}
+
+  '@npmcli/package-json@6.2.0':
+    dependencies:
+      '@npmcli/git': 6.0.3
+      glob: 10.4.5
+      hosted-git-info: 8.1.0
+      json-parse-even-better-errors: 4.0.0
+      proc-log: 5.0.0
+      semver: 7.7.1
+      validate-npm-package-license: 3.0.4
+
+  '@npmcli/promise-spawn@8.0.2':
+    dependencies:
+      which: 5.0.0
+
+  '@npmcli/redact@3.2.2': {}
+
+  '@npmcli/run-script@9.1.0':
+    dependencies:
+      '@npmcli/node-gyp': 4.0.0
+      '@npmcli/package-json': 6.2.0
+      '@npmcli/promise-spawn': 8.0.2
+      node-gyp: 11.2.0
+      proc-log: 5.0.0
+      which: 5.0.0
+    transitivePeerDependencies:
+      - supports-color
+
   '@nuxt/devalue@2.0.2': {}
 
-  '@nuxt/devtools-kit@1.6.3(magicast@0.3.5)(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))':
+  '@nuxt/devtools-kit@1.6.3(magicast@0.3.5)(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))':
     dependencies:
       '@nuxt/kit': 3.14.1592(magicast@0.3.5)(rollup@4.34.9)
       '@nuxt/schema': 3.14.1592(magicast@0.3.5)(rollup@4.34.9)
       execa: 7.2.0
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
     transitivePeerDependencies:
       - magicast
       - rollup
@@ -18563,15 +22997,15 @@ snapshots:
       pkg-types: 1.2.1
       prompts: 2.4.2
       rc9: 2.1.2
-      semver: 7.6.3
+      semver: 7.7.1
 
-  '@nuxt/devtools@1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))':
+  '@nuxt/devtools@1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))':
     dependencies:
       '@antfu/utils': 0.7.10
-      '@nuxt/devtools-kit': 1.6.3(magicast@0.3.5)(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      '@nuxt/devtools-kit': 1.6.3(magicast@0.3.5)(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       '@nuxt/devtools-wizard': 1.6.3
       '@nuxt/kit': 3.14.1592(magicast@0.3.5)(rollup@4.34.9)
-      '@vue/devtools-core': 7.6.4(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))
+      '@vue/devtools-core': 7.6.4(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))
       '@vue/devtools-kit': 7.6.4
       birpc: 0.2.19
       consola: 3.2.3
@@ -18600,9 +23034,9 @@ snapshots:
       sirv: 3.0.0
       tinyglobby: 0.2.10
       unimport: 3.14.4(rollup@4.34.9)
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
-      vite-plugin-inspect: 0.8.9(@nuxt/kit@3.14.1592(magicast@0.3.5)(rollup@4.34.9))(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
-      vite-plugin-vue-inspector: 5.1.3(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-plugin-inspect: 0.8.9(@nuxt/kit@3.14.1592(magicast@0.3.5)(rollup@4.34.9))(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
+      vite-plugin-vue-inspector: 5.1.3(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       which: 3.0.1
       ws: 8.18.0
     transitivePeerDependencies:
@@ -18629,7 +23063,7 @@ snapshots:
       pathe: 1.1.2
       pkg-types: 1.2.1
       scule: 1.3.0
-      semver: 7.6.3
+      semver: 7.7.1
       ufo: 1.5.4
       unctx: 2.3.1
       unimport: 3.14.4(rollup@4.34.9)
@@ -18656,7 +23090,7 @@ snapshots:
       pathe: 1.1.2
       pkg-types: 1.2.1
       scule: 1.3.0
-      semver: 7.6.3
+      semver: 7.7.1
       ufo: 1.5.4
       unctx: 2.3.1
       unimport: 3.14.4(rollup@4.34.9)
@@ -18733,12 +23167,12 @@ snapshots:
 
   '@nuxt/ui-templates@1.3.4': {}
 
-  '@nuxt/vite-builder@3.14.159(@types/node@20.17.24)(eslint@9.21.0(jiti@2.4.0))(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(terser@5.31.3)(typescript@5.8.3)(vue@3.5.13(typescript@5.8.3))(webpack-sources@3.2.3)':
+  '@nuxt/vite-builder@3.14.159(@types/node@20.17.24)(eslint@9.21.0(jiti@2.4.0))(less@4.2.2)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(sass@1.85.0)(terser@5.39.0)(typescript@5.8.3)(vue@3.5.13(typescript@5.8.3))(webpack-sources@3.2.3)':
     dependencies:
       '@nuxt/kit': 3.14.159(magicast@0.3.5)(rollup@4.34.9)
       '@rollup/plugin-replace': 6.0.1(rollup@4.34.9)
-      '@vitejs/plugin-vue': 5.2.0(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))
-      '@vitejs/plugin-vue-jsx': 4.1.0(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))
+      '@vitejs/plugin-vue': 5.2.0(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))
+      '@vitejs/plugin-vue-jsx': 4.1.0(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))
       autoprefixer: 10.4.20(postcss@8.5.3)
       clear: 0.1.0
       consola: 3.2.3
@@ -18765,9 +23199,9 @@ snapshots:
       ufo: 1.5.4
       unenv: 1.10.0
       unplugin: 1.15.0(webpack-sources@3.2.3)
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
-      vite-node: 2.1.4(@types/node@20.17.24)(terser@5.31.3)
-      vite-plugin-checker: 0.8.0(eslint@9.21.0(jiti@2.4.0))(optionator@0.9.4)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-node: 2.1.4(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-plugin-checker: 0.8.0(eslint@9.21.0(jiti@2.4.0))(optionator@0.9.4)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       vue: 3.5.13(typescript@5.8.3)
       vue-bundle-renderer: 2.1.1
     transitivePeerDependencies:
@@ -18793,11 +23227,11 @@ snapshots:
       - vue-tsc
       - webpack-sources
 
-  '@nuxtjs/opencollective@0.3.2':
+  '@nuxtjs/opencollective@0.3.2(encoding@0.1.13)':
     dependencies:
       chalk: 4.1.2
       consola: 2.15.3
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
     transitivePeerDependencies:
       - encoding
 
@@ -19286,7 +23720,7 @@ snapshots:
       '@opentelemetry/core': 1.26.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/instrumentation': 0.53.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/semantic-conventions': 1.27.0
-      semver: 7.6.3
+      semver: 7.7.1
     transitivePeerDependencies:
       - supports-color
 
@@ -19631,7 +24065,7 @@ snapshots:
       '@types/shimmer': 1.2.0
       import-in-the-middle: 1.11.3
       require-in-the-middle: 7.3.0
-      semver: 7.6.3
+      semver: 7.7.1
       shimmer: 1.2.1
     transitivePeerDependencies:
       - supports-color
@@ -19780,7 +24214,7 @@ snapshots:
       '@opentelemetry/core': 1.29.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/resources': 1.29.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/semantic-conventions': 1.28.0
-      gcp-metadata: 6.1.0
+      gcp-metadata: 6.1.0(encoding@0.1.13)
     transitivePeerDependencies:
       - encoding
       - supports-color
@@ -19929,7 +24363,7 @@ snapshots:
       '@opentelemetry/propagator-b3': 1.29.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/propagator-jaeger': 1.29.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/sdk-trace-base': 1.29.0(@opentelemetry/api@1.9.0)
-      semver: 7.6.3
+      semver: 7.7.1
 
   '@opentelemetry/semantic-conventions@1.27.0': {}
 
@@ -20085,7 +24519,7 @@ snapshots:
 
   '@redocly/config@0.16.0': {}
 
-  '@redocly/openapi-core@1.25.11(supports-color@9.4.0)':
+  '@redocly/openapi-core@1.25.11(encoding@0.1.13)(supports-color@9.4.0)':
     dependencies:
       '@redocly/ajv': 8.11.2
       '@redocly/config': 0.16.0
@@ -20095,7 +24529,7 @@ snapshots:
       js-yaml: 4.1.0
       lodash.isequal: 4.5.0
       minimatch: 5.1.6
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       pluralize: 8.0.0
       yaml-ast-parser: 0.0.43
     transitivePeerDependencies:
@@ -20204,6 +24638,9 @@ snapshots:
   '@rollup/rollup-android-arm-eabi@4.20.0':
     optional: true
 
+  '@rollup/rollup-android-arm-eabi@4.34.8':
+    optional: true
+
   '@rollup/rollup-android-arm-eabi@4.34.9':
     optional: true
 
@@ -20213,6 +24650,9 @@ snapshots:
   '@rollup/rollup-android-arm64@4.20.0':
     optional: true
 
+  '@rollup/rollup-android-arm64@4.34.8':
+    optional: true
+
   '@rollup/rollup-android-arm64@4.34.9':
     optional: true
 
@@ -20222,6 +24662,9 @@ snapshots:
   '@rollup/rollup-darwin-arm64@4.20.0':
     optional: true
 
+  '@rollup/rollup-darwin-arm64@4.34.8':
+    optional: true
+
   '@rollup/rollup-darwin-arm64@4.34.9':
     optional: true
 
@@ -20231,12 +24674,21 @@ snapshots:
   '@rollup/rollup-darwin-x64@4.20.0':
     optional: true
 
+  '@rollup/rollup-darwin-x64@4.34.8':
+    optional: true
+
   '@rollup/rollup-darwin-x64@4.34.9':
     optional: true
 
+  '@rollup/rollup-freebsd-arm64@4.34.8':
+    optional: true
+
   '@rollup/rollup-freebsd-arm64@4.34.9':
     optional: true
 
+  '@rollup/rollup-freebsd-x64@4.34.8':
+    optional: true
+
   '@rollup/rollup-freebsd-x64@4.34.9':
     optional: true
 
@@ -20246,12 +24698,18 @@ snapshots:
   '@rollup/rollup-linux-arm-gnueabihf@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-arm-gnueabihf@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-arm-gnueabihf@4.34.9':
     optional: true
 
   '@rollup/rollup-linux-arm-musleabihf@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-arm-musleabihf@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-arm-musleabihf@4.34.9':
     optional: true
 
@@ -20261,6 +24719,9 @@ snapshots:
   '@rollup/rollup-linux-arm64-gnu@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-arm64-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-arm64-gnu@4.34.9':
     optional: true
 
@@ -20270,9 +24731,15 @@ snapshots:
   '@rollup/rollup-linux-arm64-musl@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-arm64-musl@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-arm64-musl@4.34.9':
     optional: true
 
+  '@rollup/rollup-linux-loongarch64-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-loongarch64-gnu@4.34.9':
     optional: true
 
@@ -20282,6 +24749,9 @@ snapshots:
   '@rollup/rollup-linux-powerpc64le-gnu@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-powerpc64le-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-powerpc64le-gnu@4.34.9':
     optional: true
 
@@ -20291,6 +24761,9 @@ snapshots:
   '@rollup/rollup-linux-riscv64-gnu@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-riscv64-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-riscv64-gnu@4.34.9':
     optional: true
 
@@ -20300,6 +24773,9 @@ snapshots:
   '@rollup/rollup-linux-s390x-gnu@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-s390x-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-s390x-gnu@4.34.9':
     optional: true
 
@@ -20309,6 +24785,9 @@ snapshots:
   '@rollup/rollup-linux-x64-gnu@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-x64-gnu@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-x64-gnu@4.34.9':
     optional: true
 
@@ -20318,6 +24797,9 @@ snapshots:
   '@rollup/rollup-linux-x64-musl@4.20.0':
     optional: true
 
+  '@rollup/rollup-linux-x64-musl@4.34.8':
+    optional: true
+
   '@rollup/rollup-linux-x64-musl@4.34.9':
     optional: true
 
@@ -20327,6 +24809,9 @@ snapshots:
   '@rollup/rollup-win32-arm64-msvc@4.20.0':
     optional: true
 
+  '@rollup/rollup-win32-arm64-msvc@4.34.8':
+    optional: true
+
   '@rollup/rollup-win32-arm64-msvc@4.34.9':
     optional: true
 
@@ -20336,6 +24821,9 @@ snapshots:
   '@rollup/rollup-win32-ia32-msvc@4.20.0':
     optional: true
 
+  '@rollup/rollup-win32-ia32-msvc@4.34.8':
+    optional: true
+
   '@rollup/rollup-win32-ia32-msvc@4.34.9':
     optional: true
 
@@ -20345,11 +24833,22 @@ snapshots:
   '@rollup/rollup-win32-x64-msvc@4.20.0':
     optional: true
 
+  '@rollup/rollup-win32-x64-msvc@4.34.8':
+    optional: true
+
   '@rollup/rollup-win32-x64-msvc@4.34.9':
     optional: true
 
   '@rushstack/eslint-patch@1.10.4': {}
 
+  '@schematics/angular@19.2.15(chokidar@4.0.3)':
+    dependencies:
+      '@angular-devkit/core': 19.2.15(chokidar@4.0.3)
+      '@angular-devkit/schematics': 19.2.15(chokidar@4.0.3)
+      jsonc-parser: 3.3.1
+    transitivePeerDependencies:
+      - chokidar
+
   '@sentry-internal/browser-utils@8.42.0':
     dependencies:
       '@sentry/core': 8.42.0
@@ -20378,11 +24877,11 @@ snapshots:
       '@sentry-internal/replay-canvas': 8.42.0
       '@sentry/core': 8.42.0
 
-  '@sentry/bundler-plugin-core@2.22.6':
+  '@sentry/bundler-plugin-core@2.22.6(encoding@0.1.13)':
     dependencies:
       '@babel/core': 7.26.0
       '@sentry/babel-plugin-component-annotate': 2.22.6
-      '@sentry/cli': 2.39.1
+      '@sentry/cli': 2.39.1(encoding@0.1.13)
       dotenv: 16.4.5
       find-up: 5.0.0
       glob: 9.3.5
@@ -20413,10 +24912,10 @@ snapshots:
   '@sentry/cli-win32-x64@2.39.1':
     optional: true
 
-  '@sentry/cli@2.39.1':
+  '@sentry/cli@2.39.1(encoding@0.1.13)':
     dependencies:
       https-proxy-agent: 5.0.1
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       progress: 2.0.3
       proxy-from-env: 1.1.0
       which: 2.0.2
@@ -20439,7 +24938,7 @@ snapshots:
 
   '@sentry/core@8.42.0': {}
 
-  '@sentry/nextjs@8.42.0(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0))(react@18.2.0)(webpack@5.96.1)':
+  '@sentry/nextjs@8.42.0(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(encoding@0.1.13)(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0))(react@18.2.0)(webpack@5.98.0)':
     dependencies:
       '@opentelemetry/api': 1.9.0
       '@opentelemetry/instrumentation-http': 0.53.0(@opentelemetry/api@1.9.0)
@@ -20451,9 +24950,9 @@ snapshots:
       '@sentry/opentelemetry': 8.42.0(@opentelemetry/api@1.9.0)(@opentelemetry/core@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/instrumentation@0.52.1(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@1.28.0(@opentelemetry/api@1.9.0))(@opentelemetry/semantic-conventions@1.27.0)
       '@sentry/react': 8.42.0(react@18.2.0)
       '@sentry/vercel-edge': 8.42.0
-      '@sentry/webpack-plugin': 2.22.6(webpack@5.96.1)
+      '@sentry/webpack-plugin': 2.22.6(encoding@0.1.13)(webpack@5.98.0)
       chalk: 3.0.0
-      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
       resolve: 1.22.8
       rollup: 3.29.5
       stacktrace-parser: 0.1.10
@@ -20553,16 +25052,48 @@ snapshots:
       '@opentelemetry/api': 1.9.0
       '@sentry/core': 8.42.0
 
-  '@sentry/webpack-plugin@2.22.6(webpack@5.96.1)':
+  '@sentry/webpack-plugin@2.22.6(encoding@0.1.13)(webpack@5.98.0)':
     dependencies:
-      '@sentry/bundler-plugin-core': 2.22.6
+      '@sentry/bundler-plugin-core': 2.22.6(encoding@0.1.13)
       unplugin: 1.0.1
       uuid: 9.0.1
-      webpack: 5.96.1
+      webpack: 5.98.0(esbuild@0.25.4)
     transitivePeerDependencies:
       - encoding
       - supports-color
 
+  '@sigstore/bundle@3.1.0':
+    dependencies:
+      '@sigstore/protobuf-specs': 0.4.3
+
+  '@sigstore/core@2.0.0': {}
+
+  '@sigstore/protobuf-specs@0.4.3': {}
+
+  '@sigstore/sign@3.1.0':
+    dependencies:
+      '@sigstore/bundle': 3.1.0
+      '@sigstore/core': 2.0.0
+      '@sigstore/protobuf-specs': 0.4.3
+      make-fetch-happen: 14.0.3
+      proc-log: 5.0.0
+      promise-retry: 2.0.1
+    transitivePeerDependencies:
+      - supports-color
+
+  '@sigstore/tuf@3.1.1':
+    dependencies:
+      '@sigstore/protobuf-specs': 0.4.3
+      tuf-js: 3.1.0
+    transitivePeerDependencies:
+      - supports-color
+
+  '@sigstore/verify@2.1.1':
+    dependencies:
+      '@sigstore/bundle': 3.1.0
+      '@sigstore/core': 2.0.0
+      '@sigstore/protobuf-specs': 0.4.3
+
   '@sinclair/typebox@0.27.8': {}
 
   '@sindresorhus/merge-streams@2.3.0': {}
@@ -20964,19 +25495,19 @@ snapshots:
     dependencies:
       acorn: 8.14.1
 
-  '@sveltejs/adapter-vercel@5.6.3(@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(rollup@4.34.9)':
+  '@sveltejs/adapter-vercel@5.6.3(@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(encoding@0.1.13)(rollup@4.34.9)':
     dependencies:
-      '@sveltejs/kit': 2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
-      '@vercel/nft': 0.29.2(rollup@4.34.9)
+      '@sveltejs/kit': 2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
+      '@vercel/nft': 0.29.2(encoding@0.1.13)(rollup@4.34.9)
       esbuild: 0.24.2
     transitivePeerDependencies:
       - encoding
       - rollup
       - supports-color
 
-  '@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@sveltejs/kit@2.18.0(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
-      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@types/cookie': 0.6.0
       cookie: 0.6.0
       devalue: 5.1.1
@@ -20989,7 +25520,7 @@ snapshots:
       set-cookie-parser: 2.6.0
       sirv: 3.0.0
       svelte: 5.32.1
-      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
   '@sveltejs/package@2.3.10(svelte@5.32.1)(typescript@5.6.3)':
     dependencies:
@@ -21002,47 +25533,47 @@ snapshots:
     transitivePeerDependencies:
       - typescript
 
-  '@sveltejs/vite-plugin-svelte-inspector@4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@sveltejs/vite-plugin-svelte-inspector@4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
-      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       debug: 4.4.0(supports-color@9.4.0)
       svelte: 5.32.1
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
     transitivePeerDependencies:
       - supports-color
 
-  '@sveltejs/vite-plugin-svelte-inspector@4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@sveltejs/vite-plugin-svelte-inspector@4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
-      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@sveltejs/vite-plugin-svelte': 5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       debug: 4.4.0(supports-color@9.4.0)
       svelte: 5.32.1
-      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
     transitivePeerDependencies:
       - supports-color
 
-  '@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
-      '@sveltejs/vite-plugin-svelte-inspector': 4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@sveltejs/vite-plugin-svelte-inspector': 4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       debug: 4.4.0(supports-color@9.4.0)
       deepmerge: 4.3.1
       kleur: 4.1.5
       magic-string: 0.30.17
       svelte: 5.32.1
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
-      vitefu: 1.0.6(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      vitefu: 1.0.6(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
     transitivePeerDependencies:
       - supports-color
 
-  '@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
-      '@sveltejs/vite-plugin-svelte-inspector': 4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@sveltejs/vite-plugin-svelte-inspector': 4.0.1(@sveltejs/vite-plugin-svelte@5.0.3(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)))(svelte@5.32.1)(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       debug: 4.4.0(supports-color@9.4.0)
       deepmerge: 4.3.1
       kleur: 4.1.5
       magic-string: 0.30.17
       svelte: 5.32.1
-      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
-      vitefu: 1.0.6(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      vitefu: 1.0.6(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
     transitivePeerDependencies:
       - supports-color
 
@@ -21108,13 +25639,13 @@ snapshots:
       '@types/react': 18.3.3
       '@types/react-dom': 18.3.0
 
-  '@testing-library/svelte@5.2.7(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))(vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@testing-library/svelte@5.2.7(svelte@5.32.1)(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
       '@testing-library/dom': 10.4.0
       svelte: 5.32.1
     optionalDependencies:
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
-      vitest: 3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      vitest: 3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
   '@testing-library/user-event@14.5.2(@testing-library/dom@10.4.0)':
     dependencies:
@@ -21143,6 +25674,13 @@ snapshots:
 
   '@tsconfig/node16@1.0.4': {}
 
+  '@tufjs/canonical-json@2.0.0': {}
+
+  '@tufjs/models@3.0.1':
+    dependencies:
+      '@tufjs/canonical-json': 2.0.0
+      minimatch: 9.0.5
+
   '@types/aria-query@5.0.4': {}
 
   '@types/aws-lambda@8.10.143': {}
@@ -21173,6 +25711,10 @@ snapshots:
       '@types/connect': 3.4.38
       '@types/node': 20.17.24
 
+  '@types/bonjour@3.5.13':
+    dependencies:
+      '@types/node': 20.17.24
+
   '@types/bunyan@1.8.9':
     dependencies:
       '@types/node': 20.17.24
@@ -21181,6 +25723,11 @@ snapshots:
     dependencies:
       '@types/node': 20.17.24
 
+  '@types/connect-history-api-fallback@1.5.4':
+    dependencies:
+      '@types/express-serve-static-core': 5.0.0
+      '@types/node': 20.17.24
+
   '@types/connect@3.4.36':
     dependencies:
       '@types/node': 20.17.24
@@ -21217,6 +25764,13 @@ snapshots:
 
   '@types/estree@1.0.6': {}
 
+  '@types/express-serve-static-core@4.19.6':
+    dependencies:
+      '@types/node': 20.17.24
+      '@types/qs': 6.9.15
+      '@types/range-parser': 1.2.7
+      '@types/send': 0.17.4
+
   '@types/express-serve-static-core@5.0.0':
     dependencies:
       '@types/node': 20.17.24
@@ -21224,6 +25778,13 @@ snapshots:
       '@types/range-parser': 1.2.7
       '@types/send': 0.17.4
 
+  '@types/express@4.17.23':
+    dependencies:
+      '@types/body-parser': 1.19.5
+      '@types/express-serve-static-core': 4.19.6
+      '@types/qs': 6.9.15
+      '@types/serve-static': 1.15.7
+
   '@types/express@5.0.0':
     dependencies:
       '@types/body-parser': 1.19.5
@@ -21302,6 +25863,10 @@ snapshots:
       '@types/node': 20.17.24
       form-data: 4.0.2
 
+  '@types/node-forge@1.3.13':
+    dependencies:
+      '@types/node': 20.17.24
+
   '@types/node@12.20.55': {}
 
   '@types/node@14.18.63': {}
@@ -21352,6 +25917,8 @@ snapshots:
 
   '@types/retry@0.12.0': {}
 
+  '@types/retry@0.12.2': {}
+
   '@types/semver@7.5.8': {}
 
   '@types/send@0.17.4':
@@ -21359,6 +25926,10 @@ snapshots:
       '@types/mime': 1.3.5
       '@types/node': 20.17.24
 
+  '@types/serve-index@1.9.4':
+    dependencies:
+      '@types/express': 5.0.0
+
   '@types/serve-static@1.15.7':
     dependencies:
       '@types/http-errors': 2.0.4
@@ -21369,6 +25940,10 @@ snapshots:
 
   '@types/shimmer@1.2.0': {}
 
+  '@types/sockjs@0.3.36':
+    dependencies:
+      '@types/node': 20.17.24
+
   '@types/stack-utils@2.0.3': {}
 
   '@types/statuses@2.0.5': {}
@@ -21397,6 +25972,10 @@ snapshots:
 
   '@types/uuid@9.0.7': {}
 
+  '@types/ws@8.18.1':
+    dependencies:
+      '@types/node': 20.17.24
+
   '@types/yargs-parser@21.0.3': {}
 
   '@types/yargs@17.0.33':
@@ -21534,7 +26113,7 @@ snapshots:
     dependencies:
       '@typescript-eslint/typescript-estree': 8.26.0(typescript@5.6.3)
       '@typescript-eslint/utils': 8.26.0(eslint@9.21.0(jiti@2.4.0))(typescript@5.6.3)
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       eslint: 9.21.0(jiti@2.4.0)
       ts-api-utils: 2.0.1(typescript@5.6.3)
       typescript: 5.6.3
@@ -21563,11 +26142,11 @@ snapshots:
     dependencies:
       '@typescript-eslint/types': 7.2.0
       '@typescript-eslint/visitor-keys': 7.2.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       globby: 11.1.0
       is-glob: 4.0.3
       minimatch: 9.0.3
-      semver: 7.6.3
+      semver: 7.7.1
       ts-api-utils: 1.3.0(typescript@5.4.5)
     optionalDependencies:
       typescript: 5.4.5
@@ -21578,11 +26157,11 @@ snapshots:
     dependencies:
       '@typescript-eslint/types': 7.2.0
       '@typescript-eslint/visitor-keys': 7.2.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       globby: 11.1.0
       is-glob: 4.0.3
       minimatch: 9.0.3
-      semver: 7.6.3
+      semver: 7.7.1
       ts-api-utils: 1.3.0(typescript@5.6.3)
     optionalDependencies:
       typescript: 5.6.3
@@ -21593,11 +26172,11 @@ snapshots:
     dependencies:
       '@typescript-eslint/types': 7.2.0
       '@typescript-eslint/visitor-keys': 7.2.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       globby: 11.1.0
       is-glob: 4.0.3
       minimatch: 9.0.3
-      semver: 7.6.3
+      semver: 7.7.1
       ts-api-utils: 1.3.0(typescript@5.8.3)
     optionalDependencies:
       typescript: 5.8.3
@@ -21608,11 +26187,11 @@ snapshots:
     dependencies:
       '@typescript-eslint/types': 8.26.0
       '@typescript-eslint/visitor-keys': 8.26.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       fast-glob: 3.3.2
       is-glob: 4.0.3
       minimatch: 9.0.5
-      semver: 7.6.3
+      semver: 7.7.1
       ts-api-utils: 2.0.1(typescript@5.6.3)
       typescript: 5.6.3
     transitivePeerDependencies:
@@ -21626,7 +26205,7 @@ snapshots:
       fast-glob: 3.3.2
       is-glob: 4.0.3
       minimatch: 9.0.5
-      semver: 7.6.3
+      semver: 7.7.1
       ts-api-utils: 1.3.0(typescript@5.5.4)
     optionalDependencies:
       typescript: 5.5.4
@@ -21737,9 +26316,9 @@ snapshots:
     dependencies:
       '@upstash/redis': 1.24.3
 
-  '@vercel/nft@0.27.6':
+  '@vercel/nft@0.27.6(encoding@0.1.13)':
     dependencies:
-      '@mapbox/node-pre-gyp': 1.0.11
+      '@mapbox/node-pre-gyp': 1.0.11(encoding@0.1.13)
       '@rollup/pluginutils': 4.2.1
       acorn: 8.14.1
       acorn-import-attributes: 1.9.5(acorn@8.14.1)
@@ -21755,9 +26334,9 @@ snapshots:
       - encoding
       - supports-color
 
-  '@vercel/nft@0.29.2(rollup@4.34.9)':
+  '@vercel/nft@0.29.2(encoding@0.1.13)(rollup@4.34.9)':
     dependencies:
-      '@mapbox/node-pre-gyp': 2.0.0
+      '@mapbox/node-pre-gyp': 2.0.0(encoding@0.1.13)
       '@rollup/pluginutils': 5.1.3(rollup@4.34.9)
       acorn: 8.14.1
       acorn-import-attributes: 1.9.5(acorn@8.14.1)
@@ -21794,35 +26373,39 @@ snapshots:
       '@opentelemetry/sdk-metrics': 1.29.0(@opentelemetry/api@1.9.0)
       '@opentelemetry/sdk-trace-base': 1.29.0(@opentelemetry/api@1.9.0)
 
-  '@vitejs/plugin-react@4.3.3(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@vitejs/plugin-basic-ssl@1.2.0(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
+    dependencies:
+      vite: 6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+
+  '@vitejs/plugin-react@4.3.3(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
       '@babel/core': 7.26.0
       '@babel/plugin-transform-react-jsx-self': 7.25.9(@babel/core@7.26.0)
       '@babel/plugin-transform-react-jsx-source': 7.25.9(@babel/core@7.26.0)
       '@types/babel__core': 7.20.5
       react-refresh: 0.14.2
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
     transitivePeerDependencies:
       - supports-color
 
-  '@vitejs/plugin-vue-jsx@4.1.0(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))':
+  '@vitejs/plugin-vue-jsx@4.1.0(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))':
     dependencies:
       '@babel/core': 7.26.0
       '@babel/plugin-transform-typescript': 7.25.9(@babel/core@7.26.0)
       '@vue/babel-plugin-jsx': 1.2.5(@babel/core@7.26.0)
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       vue: 3.5.13(typescript@5.8.3)
     transitivePeerDependencies:
       - supports-color
 
-  '@vitejs/plugin-vue@5.2.0(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))':
+  '@vitejs/plugin-vue@5.2.0(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))':
     dependencies:
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       vue: 3.5.13(typescript@5.8.3)
 
-  '@vitejs/plugin-vue@5.2.0(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))(vue@3.3.8(typescript@5.8.3))':
+  '@vitejs/plugin-vue@5.2.0(vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))(vue@3.3.8(typescript@5.8.3))':
     dependencies:
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
       vue: 3.3.8(typescript@5.8.3)
 
   '@vitest/expect@2.1.4':
@@ -21839,32 +26422,41 @@ snapshots:
       chai: 5.2.0
       tinyrainbow: 2.0.0
 
-  '@vitest/mocker@2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))':
+  '@vitest/mocker@2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))':
     dependencies:
       '@vitest/spy': 2.1.4
       estree-walker: 3.0.3
       magic-string: 0.30.17
     optionalDependencies:
       msw: 2.6.4(@types/node@20.17.24)(typescript@5.8.3)
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
 
-  '@vitest/mocker@2.1.4(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(vite@5.4.11(@types/node@22.7.4)(terser@5.31.3))':
+  '@vitest/mocker@2.1.4(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(vite@5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))':
     dependencies:
       '@vitest/spy': 2.1.4
       estree-walker: 3.0.3
       magic-string: 0.30.17
     optionalDependencies:
       msw: 2.7.0(@types/node@22.7.4)(typescript@5.8.3)
-      vite: 5.4.11(@types/node@22.7.4)(terser@5.31.3)
+      vite: 5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
 
-  '@vitest/mocker@3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))':
+  '@vitest/mocker@3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
     dependencies:
       '@vitest/spy': 3.0.7
       estree-walker: 3.0.3
       magic-string: 0.30.17
     optionalDependencies:
       msw: 2.7.0(@types/node@20.17.24)(typescript@5.6.3)
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+
+  '@vitest/mocker@3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.8.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))':
+    dependencies:
+      '@vitest/spy': 3.0.7
+      estree-walker: 3.0.3
+      magic-string: 0.30.17
+    optionalDependencies:
+      msw: 2.7.0(@types/node@20.17.24)(typescript@5.8.3)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
   '@vitest/pretty-format@2.1.4':
     dependencies:
@@ -22021,14 +26613,14 @@ snapshots:
 
   '@vue/devtools-api@6.6.4': {}
 
-  '@vue/devtools-core@7.6.4(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))':
+  '@vue/devtools-core@7.6.4(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))':
     dependencies:
       '@vue/devtools-kit': 7.6.4
       '@vue/devtools-shared': 7.6.4
       mitt: 3.0.1
       nanoid: 3.3.8
       pathe: 1.1.2
-      vite-hot-client: 0.2.3(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      vite-hot-client: 0.2.3(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       vue: 3.5.13(typescript@5.8.3)
     transitivePeerDependencies:
       - vite
@@ -22133,20 +26725,39 @@ snapshots:
       '@webassemblyjs/helper-numbers': 1.11.6
       '@webassemblyjs/helper-wasm-bytecode': 1.11.6
 
+  '@webassemblyjs/ast@1.14.1':
+    dependencies:
+      '@webassemblyjs/helper-numbers': 1.13.2
+      '@webassemblyjs/helper-wasm-bytecode': 1.13.2
+
   '@webassemblyjs/floating-point-hex-parser@1.11.6': {}
 
+  '@webassemblyjs/floating-point-hex-parser@1.13.2': {}
+
   '@webassemblyjs/helper-api-error@1.11.6': {}
 
+  '@webassemblyjs/helper-api-error@1.13.2': {}
+
   '@webassemblyjs/helper-buffer@1.12.1': {}
 
+  '@webassemblyjs/helper-buffer@1.14.1': {}
+
   '@webassemblyjs/helper-numbers@1.11.6':
     dependencies:
       '@webassemblyjs/floating-point-hex-parser': 1.11.6
       '@webassemblyjs/helper-api-error': 1.11.6
       '@xtuc/long': 4.2.2
 
+  '@webassemblyjs/helper-numbers@1.13.2':
+    dependencies:
+      '@webassemblyjs/floating-point-hex-parser': 1.13.2
+      '@webassemblyjs/helper-api-error': 1.13.2
+      '@xtuc/long': 4.2.2
+
   '@webassemblyjs/helper-wasm-bytecode@1.11.6': {}
 
+  '@webassemblyjs/helper-wasm-bytecode@1.13.2': {}
+
   '@webassemblyjs/helper-wasm-section@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
@@ -22154,16 +26765,33 @@ snapshots:
       '@webassemblyjs/helper-wasm-bytecode': 1.11.6
       '@webassemblyjs/wasm-gen': 1.12.1
 
+  '@webassemblyjs/helper-wasm-section@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/helper-buffer': 1.14.1
+      '@webassemblyjs/helper-wasm-bytecode': 1.13.2
+      '@webassemblyjs/wasm-gen': 1.14.1
+
   '@webassemblyjs/ieee754@1.11.6':
     dependencies:
       '@xtuc/ieee754': 1.2.0
 
+  '@webassemblyjs/ieee754@1.13.2':
+    dependencies:
+      '@xtuc/ieee754': 1.2.0
+
   '@webassemblyjs/leb128@1.11.6':
     dependencies:
       '@xtuc/long': 4.2.2
 
+  '@webassemblyjs/leb128@1.13.2':
+    dependencies:
+      '@xtuc/long': 4.2.2
+
   '@webassemblyjs/utf8@1.11.6': {}
 
+  '@webassemblyjs/utf8@1.13.2': {}
+
   '@webassemblyjs/wasm-edit@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
@@ -22175,6 +26803,17 @@ snapshots:
       '@webassemblyjs/wasm-parser': 1.12.1
       '@webassemblyjs/wast-printer': 1.12.1
 
+  '@webassemblyjs/wasm-edit@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/helper-buffer': 1.14.1
+      '@webassemblyjs/helper-wasm-bytecode': 1.13.2
+      '@webassemblyjs/helper-wasm-section': 1.14.1
+      '@webassemblyjs/wasm-gen': 1.14.1
+      '@webassemblyjs/wasm-opt': 1.14.1
+      '@webassemblyjs/wasm-parser': 1.14.1
+      '@webassemblyjs/wast-printer': 1.14.1
+
   '@webassemblyjs/wasm-gen@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
@@ -22183,6 +26822,14 @@ snapshots:
       '@webassemblyjs/leb128': 1.11.6
       '@webassemblyjs/utf8': 1.11.6
 
+  '@webassemblyjs/wasm-gen@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/helper-wasm-bytecode': 1.13.2
+      '@webassemblyjs/ieee754': 1.13.2
+      '@webassemblyjs/leb128': 1.13.2
+      '@webassemblyjs/utf8': 1.13.2
+
   '@webassemblyjs/wasm-opt@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
@@ -22190,6 +26837,13 @@ snapshots:
       '@webassemblyjs/wasm-gen': 1.12.1
       '@webassemblyjs/wasm-parser': 1.12.1
 
+  '@webassemblyjs/wasm-opt@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/helper-buffer': 1.14.1
+      '@webassemblyjs/wasm-gen': 1.14.1
+      '@webassemblyjs/wasm-parser': 1.14.1
+
   '@webassemblyjs/wasm-parser@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
@@ -22199,17 +26853,33 @@ snapshots:
       '@webassemblyjs/leb128': 1.11.6
       '@webassemblyjs/utf8': 1.11.6
 
+  '@webassemblyjs/wasm-parser@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/helper-api-error': 1.13.2
+      '@webassemblyjs/helper-wasm-bytecode': 1.13.2
+      '@webassemblyjs/ieee754': 1.13.2
+      '@webassemblyjs/leb128': 1.13.2
+      '@webassemblyjs/utf8': 1.13.2
+
   '@webassemblyjs/wast-printer@1.12.1':
     dependencies:
       '@webassemblyjs/ast': 1.12.1
       '@xtuc/long': 4.2.2
 
+  '@webassemblyjs/wast-printer@1.14.1':
+    dependencies:
+      '@webassemblyjs/ast': 1.14.1
+      '@xtuc/long': 4.2.2
+
   '@xmldom/xmldom@0.8.10': {}
 
   '@xtuc/ieee754@1.2.0': {}
 
   '@xtuc/long@4.2.2': {}
 
+  '@yarnpkg/lockfile@1.1.0': {}
+
   abbrev@1.1.1: {}
 
   abbrev@2.0.0: {}
@@ -22254,15 +26924,20 @@ snapshots:
 
   acorn@8.14.1: {}
 
+  adjust-sourcemap-loader@4.0.0:
+    dependencies:
+      loader-utils: 2.0.4
+      regex-parser: 2.3.1
+
   agent-base@6.0.2:
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
     transitivePeerDependencies:
       - supports-color
 
   agent-base@7.1.1:
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
     transitivePeerDependencies:
       - supports-color
 
@@ -22276,6 +26951,10 @@ snapshots:
     optionalDependencies:
       ajv: 8.12.0
 
+  ajv-formats@2.1.1(ajv@8.17.1):
+    optionalDependencies:
+      ajv: 8.17.1
+
   ajv-formats@3.0.1(ajv@8.17.1):
     optionalDependencies:
       ajv: 8.17.1
@@ -22284,6 +26963,11 @@ snapshots:
     dependencies:
       ajv: 6.12.6
 
+  ajv-keywords@5.1.0(ajv@8.17.1):
+    dependencies:
+      ajv: 8.17.1
+      fast-deep-equal: 3.1.3
+
   ajv@6.12.6:
     dependencies:
       fast-deep-equal: 3.1.3
@@ -22319,6 +27003,8 @@ snapshots:
     dependencies:
       environment: 1.1.0
 
+  ansi-html-community@0.0.8: {}
+
   ansi-regex@5.0.1: {}
 
   ansi-regex@6.0.1: {}
@@ -22563,6 +27249,16 @@ snapshots:
       postcss: 8.4.49
       postcss-value-parser: 4.2.0
 
+  autoprefixer@10.4.20(postcss@8.5.2):
+    dependencies:
+      browserslist: 4.23.3
+      caniuse-lite: 1.0.30001649
+      fraction.js: 4.3.7
+      normalize-range: 0.1.2
+      picocolors: 1.0.1
+      postcss: 8.5.2
+      postcss-value-parser: 4.2.0
+
   autoprefixer@10.4.20(postcss@8.5.3):
     dependencies:
       browserslist: 4.23.3
@@ -22594,22 +27290,29 @@ snapshots:
 
   b4a@1.6.4: {}
 
-  babel-jest@29.7.0(@babel/core@7.26.0):
+  babel-jest@29.7.0(@babel/core@7.26.10):
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@jest/transform': 29.7.0
       '@types/babel__core': 7.20.5
       babel-plugin-istanbul: 6.1.1
-      babel-preset-jest: 29.6.3(@babel/core@7.26.0)
+      babel-preset-jest: 29.6.3(@babel/core@7.26.10)
       chalk: 4.1.2
       graceful-fs: 4.2.11
       slash: 3.0.0
     transitivePeerDependencies:
       - supports-color
 
+  babel-loader@9.2.1(@babel/core@7.26.10)(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      '@babel/core': 7.26.10
+      find-cache-dir: 4.0.0
+      schema-utils: 4.3.2
+      webpack: 5.98.0(esbuild@0.25.4)
+
   babel-plugin-istanbul@6.1.1:
     dependencies:
-      '@babel/helper-plugin-utils': 7.25.9
+      '@babel/helper-plugin-utils': 7.27.1
       '@istanbuljs/load-nyc-config': 1.1.0
       '@istanbuljs/schema': 0.1.3
       istanbul-lib-instrument: 5.2.1
@@ -22619,35 +27322,86 @@ snapshots:
 
   babel-plugin-jest-hoist@29.6.3:
     dependencies:
-      '@babel/template': 7.25.9
-      '@babel/types': 7.26.0
+      '@babel/template': 7.27.2
+      '@babel/types': 7.28.0
       '@types/babel__core': 7.20.5
       '@types/babel__traverse': 7.20.6
 
-  babel-preset-current-node-syntax@1.1.0(@babel/core@7.26.0):
+  babel-plugin-polyfill-corejs2@0.4.14(@babel/core@7.25.2):
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/plugin-syntax-async-generators': 7.8.4(@babel/core@7.26.0)
-      '@babel/plugin-syntax-bigint': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-class-properties': 7.12.13(@babel/core@7.26.0)
-      '@babel/plugin-syntax-class-static-block': 7.14.5(@babel/core@7.26.0)
-      '@babel/plugin-syntax-import-attributes': 7.25.6(@babel/core@7.26.0)
-      '@babel/plugin-syntax-import-meta': 7.10.4(@babel/core@7.26.0)
-      '@babel/plugin-syntax-json-strings': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-logical-assignment-operators': 7.10.4(@babel/core@7.26.0)
-      '@babel/plugin-syntax-nullish-coalescing-operator': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-numeric-separator': 7.10.4(@babel/core@7.26.0)
-      '@babel/plugin-syntax-object-rest-spread': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-optional-catch-binding': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-optional-chaining': 7.8.3(@babel/core@7.26.0)
-      '@babel/plugin-syntax-private-property-in-object': 7.14.5(@babel/core@7.26.0)
-      '@babel/plugin-syntax-top-level-await': 7.14.5(@babel/core@7.26.0)
-
-  babel-preset-jest@29.6.3(@babel/core@7.26.0):
+      '@babel/compat-data': 7.28.0
+      '@babel/core': 7.25.2
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.25.2)
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  babel-plugin-polyfill-corejs2@0.4.14(@babel/core@7.26.10):
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/compat-data': 7.28.0
+      '@babel/core': 7.26.10
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.26.10)
+      semver: 6.3.1
+    transitivePeerDependencies:
+      - supports-color
+
+  babel-plugin-polyfill-corejs3@0.11.1(@babel/core@7.25.2):
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.25.2)
+      core-js-compat: 3.44.0
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  babel-plugin-polyfill-corejs3@0.11.1(@babel/core@7.26.10):
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.26.10)
+      core-js-compat: 3.44.0
+    transitivePeerDependencies:
+      - supports-color
+
+  babel-plugin-polyfill-regenerator@0.6.5(@babel/core@7.25.2):
+    dependencies:
+      '@babel/core': 7.25.2
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.25.2)
+    transitivePeerDependencies:
+      - supports-color
+    optional: true
+
+  babel-plugin-polyfill-regenerator@0.6.5(@babel/core@7.26.10):
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/helper-define-polyfill-provider': 0.6.5(@babel/core@7.26.10)
+    transitivePeerDependencies:
+      - supports-color
+
+  babel-preset-current-node-syntax@1.1.0(@babel/core@7.26.10):
+    dependencies:
+      '@babel/core': 7.26.10
+      '@babel/plugin-syntax-async-generators': 7.8.4(@babel/core@7.26.10)
+      '@babel/plugin-syntax-bigint': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-class-properties': 7.12.13(@babel/core@7.26.10)
+      '@babel/plugin-syntax-class-static-block': 7.14.5(@babel/core@7.26.10)
+      '@babel/plugin-syntax-import-attributes': 7.27.1(@babel/core@7.26.10)
+      '@babel/plugin-syntax-import-meta': 7.10.4(@babel/core@7.26.10)
+      '@babel/plugin-syntax-json-strings': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-logical-assignment-operators': 7.10.4(@babel/core@7.26.10)
+      '@babel/plugin-syntax-nullish-coalescing-operator': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-numeric-separator': 7.10.4(@babel/core@7.26.10)
+      '@babel/plugin-syntax-object-rest-spread': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-optional-catch-binding': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-optional-chaining': 7.8.3(@babel/core@7.26.10)
+      '@babel/plugin-syntax-private-property-in-object': 7.14.5(@babel/core@7.26.10)
+      '@babel/plugin-syntax-top-level-await': 7.14.5(@babel/core@7.26.10)
+
+  babel-preset-jest@29.6.3(@babel/core@7.26.10):
+    dependencies:
+      '@babel/core': 7.26.10
       babel-plugin-jest-hoist: 29.6.3
-      babel-preset-current-node-syntax: 1.1.0(@babel/core@7.26.0)
+      babel-preset-current-node-syntax: 1.1.0(@babel/core@7.26.10)
 
   bail@2.0.2: {}
 
@@ -22657,10 +27411,25 @@ snapshots:
 
   base64-js@1.5.1: {}
 
+  batch@0.6.1: {}
+
+  beasties@0.3.2:
+    dependencies:
+      css-select: 5.1.0
+      css-what: 6.1.0
+      dom-serializer: 2.0.0
+      domhandler: 5.0.3
+      htmlparser2: 10.0.0
+      picocolors: 1.1.1
+      postcss: 8.5.3
+      postcss-media-query-parser: 0.2.3
+
   better-path-resolve@1.0.0:
     dependencies:
       is-windows: 1.0.2
 
+  big.js@5.2.2: {}
+
   bignumber.js@9.1.2: {}
 
   binary-extensions@2.2.0: {}
@@ -22727,6 +27496,11 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  bonjour-service@1.3.0:
+    dependencies:
+      fast-deep-equal: 3.1.3
+      multicast-dns: 7.2.5
+
   boolbase@1.0.0: {}
 
   bowser@2.11.0:
@@ -22777,6 +27551,13 @@ snapshots:
       node-releases: 2.0.18
       update-browserslist-db: 1.1.1(browserslist@4.24.0)
 
+  browserslist@4.25.1:
+    dependencies:
+      caniuse-lite: 1.0.30001727
+      electron-to-chromium: 1.5.182
+      node-releases: 2.0.19
+      update-browserslist-db: 1.1.3(browserslist@4.25.1)
+
   bs-logger@0.2.6:
     dependencies:
       fast-json-stable-stringify: 2.1.0
@@ -22852,6 +27633,21 @@ snapshots:
 
   cac@6.7.14: {}
 
+  cacache@19.0.1:
+    dependencies:
+      '@npmcli/fs': 4.0.0
+      fs-minipass: 3.0.3
+      glob: 10.4.5
+      lru-cache: 10.4.3
+      minipass: 7.1.2
+      minipass-collect: 2.0.1
+      minipass-flush: 1.0.5
+      minipass-pipeline: 1.2.4
+      p-map: 7.0.3
+      ssri: 12.0.0
+      tar: 7.4.3
+      unique-filename: 4.0.0
+
   cache-content-type@1.0.1:
     dependencies:
       mime-types: 2.1.35
@@ -22905,11 +27701,13 @@ snapshots:
 
   caniuse-lite@1.0.30001666: {}
 
+  caniuse-lite@1.0.30001727: {}
+
   ccount@2.0.1: {}
 
   centra@2.7.0:
     dependencies:
-      follow-redirects: 1.15.9
+      follow-redirects: 1.15.9(debug@4.4.1)
     transitivePeerDependencies:
       - debug
 
@@ -23132,6 +27930,8 @@ snapshots:
       has-own-prop: 2.0.0
       repeat-string: 1.6.1
 
+  common-path-prefix@3.0.0: {}
+
   commondir@1.0.1: {}
 
   compatx@0.1.8: {}
@@ -23148,6 +27948,22 @@ snapshots:
       normalize-path: 3.0.0
       readable-stream: 4.5.2
 
+  compressible@2.0.18:
+    dependencies:
+      mime-db: 1.53.0
+
+  compression@1.8.0:
+    dependencies:
+      bytes: 3.1.2
+      compressible: 2.0.18
+      debug: 2.6.9
+      negotiator: 0.6.4
+      on-headers: 1.0.2
+      safe-buffer: 5.2.1
+      vary: 1.1.2
+    transitivePeerDependencies:
+      - supports-color
+
   concat-map@0.0.1: {}
 
   concat-stream@1.6.2:
@@ -23176,6 +27992,8 @@ snapshots:
       ini: 1.3.8
       proto-list: 1.2.4
 
+  connect-history-api-fallback@2.0.0: {}
+
   consola@2.15.3: {}
 
   consola@3.2.3: {}
@@ -23192,6 +28010,8 @@ snapshots:
 
   content-type@1.0.5: {}
 
+  convert-source-map@1.9.0: {}
+
   convert-source-map@2.0.0: {}
 
   cookie-es@1.2.2: {}
@@ -23213,10 +28033,28 @@ snapshots:
       depd: 2.0.0
       keygrip: 1.1.0
 
+  copy-anything@2.0.6:
+    dependencies:
+      is-what: 3.14.1
+
   copy-anything@3.0.5:
     dependencies:
       is-what: 4.1.16
 
+  copy-webpack-plugin@12.0.2(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      fast-glob: 3.3.3
+      glob-parent: 6.0.2
+      globby: 14.0.2
+      normalize-path: 3.0.0
+      schema-utils: 4.3.2
+      serialize-javascript: 6.0.2
+      webpack: 5.98.0(esbuild@0.25.4)
+
+  core-js-compat@3.44.0:
+    dependencies:
+      browserslist: 4.25.1
+
   core-util-is@1.0.3: {}
 
   cors@2.8.5:
@@ -23233,12 +28071,21 @@ snapshots:
     optionalDependencies:
       typescript: 5.6.3
 
+  cosmiconfig@9.0.0(typescript@5.8.3):
+    dependencies:
+      env-paths: 2.2.1
+      import-fresh: 3.3.1
+      js-yaml: 4.1.0
+      parse-json: 5.2.0
+    optionalDependencies:
+      typescript: 5.8.3
+
   crc-32@1.2.2: {}
 
   crc32-stream@6.0.0:
     dependencies:
       crc-32: 1.2.2
-      readable-stream: 4.5.2
+      readable-stream: 4.7.0
 
   create-jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)):
     dependencies:
@@ -23255,6 +28102,22 @@ snapshots:
       - supports-color
       - ts-node
 
+  create-jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)):
+    dependencies:
+      '@jest/types': 29.6.3
+      chalk: 4.1.2
+      exit: 0.1.2
+      graceful-fs: 4.2.11
+      jest-config: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      jest-util: 29.7.0
+      prompts: 2.4.2
+    transitivePeerDependencies:
+      - '@types/node'
+      - babel-plugin-macros
+      - supports-color
+      - ts-node
+    optional: true
+
   create-require@1.1.1: {}
 
   croner@9.0.0: {}
@@ -23279,6 +28142,19 @@ snapshots:
     dependencies:
       postcss: 8.5.3
 
+  css-loader@7.1.2(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      icss-utils: 5.1.0(postcss@8.5.3)
+      postcss: 8.5.3
+      postcss-modules-extract-imports: 3.1.0(postcss@8.5.3)
+      postcss-modules-local-by-default: 4.2.0(postcss@8.5.3)
+      postcss-modules-scope: 3.2.1(postcss@8.5.3)
+      postcss-modules-values: 4.0.0(postcss@8.5.3)
+      postcss-value-parser: 4.2.0
+      semver: 7.7.1
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+
   css-select@5.1.0:
     dependencies:
       boolbase: 1.0.0
@@ -23421,6 +28297,10 @@ snapshots:
     optionalDependencies:
       supports-color: 9.4.0
 
+  debug@4.4.1:
+    dependencies:
+      ms: 2.1.3
+
   decamelize@1.2.0: {}
 
   decimal.js@10.4.3: {}
@@ -23522,6 +28402,8 @@ snapshots:
 
   detect-newline@3.1.0: {}
 
+  detect-node@2.1.0: {}
+
   devalue@5.1.1: {}
 
   devlop@1.1.0:
@@ -23554,6 +28436,10 @@ snapshots:
 
   dlv@1.1.3: {}
 
+  dns-packet@5.6.1:
+    dependencies:
+      '@leichtgewicht/ip-codec': 2.0.5
+
   doctrine@2.1.0:
     dependencies:
       esutils: 2.0.3
@@ -23586,6 +28472,12 @@ snapshots:
       domelementtype: 2.3.0
       domhandler: 5.0.3
 
+  domutils@3.2.2:
+    dependencies:
+      dom-serializer: 2.0.0
+      domelementtype: 2.3.0
+      domhandler: 5.0.3
+
   dot-prop@9.0.0:
     dependencies:
       type-fest: 4.26.1
@@ -23613,7 +28505,7 @@ snapshots:
       '@one-ini/wasm': 0.1.1
       commander: 10.0.1
       minimatch: 9.0.1
-      semver: 7.6.3
+      semver: 7.7.1
 
   ee-first@1.1.1: {}
 
@@ -23623,6 +28515,8 @@ snapshots:
 
   electron-to-chromium@1.4.812: {}
 
+  electron-to-chromium@1.5.182: {}
+
   electron-to-chromium@1.5.31: {}
 
   electron-to-chromium@1.5.5: {}
@@ -23635,10 +28529,17 @@ snapshots:
 
   emoji-regex@9.2.2: {}
 
+  emojis-list@3.0.0: {}
+
   encodeurl@1.0.2: {}
 
   encodeurl@2.0.0: {}
 
+  encoding@0.1.13:
+    dependencies:
+      iconv-lite: 0.6.3
+    optional: true
+
   enhanced-resolve@5.17.1:
     dependencies:
       graceful-fs: 4.2.11
@@ -23651,8 +28552,19 @@ snapshots:
 
   entities@4.5.0: {}
 
+  entities@6.0.1: {}
+
+  env-paths@2.2.1: {}
+
   environment@1.1.0: {}
 
+  err-code@2.0.3: {}
+
+  errno@0.1.8:
+    dependencies:
+      prr: 1.0.1
+    optional: true
+
   error-ex@1.3.2:
     dependencies:
       is-arrayish: 0.2.1
@@ -23782,6 +28694,8 @@ snapshots:
       is-date-object: 1.0.5
       is-symbol: 1.0.4
 
+  esbuild-wasm@0.25.4: {}
+
   esbuild@0.18.20:
     optionalDependencies:
       '@esbuild/android-arm': 0.18.20
@@ -23968,7 +28882,33 @@ snapshots:
       '@esbuild/win32-ia32': 0.24.2
       '@esbuild/win32-x64': 0.24.2
 
-  escalade@3.1.2: {}
+  esbuild@0.25.4:
+    optionalDependencies:
+      '@esbuild/aix-ppc64': 0.25.4
+      '@esbuild/android-arm': 0.25.4
+      '@esbuild/android-arm64': 0.25.4
+      '@esbuild/android-x64': 0.25.4
+      '@esbuild/darwin-arm64': 0.25.4
+      '@esbuild/darwin-x64': 0.25.4
+      '@esbuild/freebsd-arm64': 0.25.4
+      '@esbuild/freebsd-x64': 0.25.4
+      '@esbuild/linux-arm': 0.25.4
+      '@esbuild/linux-arm64': 0.25.4
+      '@esbuild/linux-ia32': 0.25.4
+      '@esbuild/linux-loong64': 0.25.4
+      '@esbuild/linux-mips64el': 0.25.4
+      '@esbuild/linux-ppc64': 0.25.4
+      '@esbuild/linux-riscv64': 0.25.4
+      '@esbuild/linux-s390x': 0.25.4
+      '@esbuild/linux-x64': 0.25.4
+      '@esbuild/netbsd-arm64': 0.25.4
+      '@esbuild/netbsd-x64': 0.25.4
+      '@esbuild/openbsd-arm64': 0.25.4
+      '@esbuild/openbsd-x64': 0.25.4
+      '@esbuild/sunos-x64': 0.25.4
+      '@esbuild/win32-arm64': 0.25.4
+      '@esbuild/win32-ia32': 0.25.4
+      '@esbuild/win32-x64': 0.25.4
 
   escalade@3.2.0: {}
 
@@ -23987,7 +28927,7 @@ snapshots:
   eslint-compat-utils@0.6.4(eslint@9.21.0(jiti@2.4.0)):
     dependencies:
       eslint: 9.21.0(jiti@2.4.0)
-      semver: 7.6.3
+      semver: 7.7.1
 
   eslint-config-next@14.2.3(eslint@8.57.1)(typescript@5.4.5):
     dependencies:
@@ -24033,7 +28973,7 @@ snapshots:
       eslint: 8.57.1
       eslint-import-resolver-node: 0.3.9
       eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1)
       eslint-plugin-jsx-a11y: 6.9.0(eslint@8.57.1)
       eslint-plugin-react: 7.35.0(eslint@8.57.1)
       eslint-plugin-react-hooks: 4.6.2(eslint@8.57.1)
@@ -24121,8 +29061,8 @@ snapshots:
       debug: 4.4.0(supports-color@9.4.0)
       enhanced-resolve: 5.17.1
       eslint: 8.57.1
-      eslint-module-utils: 2.8.0(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1)
+      eslint-module-utils: 2.8.0(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1)
       fast-glob: 3.3.2
       get-tsconfig: 4.7.2
       is-core-module: 2.13.1
@@ -24172,7 +29112,7 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  eslint-module-utils@2.8.0(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1):
+  eslint-module-utils@2.8.0(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1):
     dependencies:
       debug: 3.2.7
     optionalDependencies:
@@ -24216,7 +29156,7 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  eslint-module-utils@2.8.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1):
+  eslint-module-utils@2.8.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1):
     dependencies:
       debug: 3.2.7
     optionalDependencies:
@@ -24292,7 +29232,7 @@ snapshots:
       - eslint-import-resolver-webpack
       - supports-color
 
-  eslint-plugin-import@2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1):
+  eslint-plugin-import@2.29.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1):
     dependencies:
       array-includes: 3.1.8
       array.prototype.findlastindex: 1.2.5
@@ -24302,7 +29242,7 @@ snapshots:
       doctrine: 2.1.0
       eslint: 8.57.1
       eslint-import-resolver-node: 0.3.9
-      eslint-module-utils: 2.8.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.1)
+      eslint-module-utils: 2.8.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@7.2.0(eslint@8.57.1)(typescript@5.8.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.57.1))(eslint@8.57.1))(eslint@8.57.1)
       hasown: 2.0.2
       is-core-module: 2.15.0
       is-glob: 4.0.3
@@ -24722,6 +29662,8 @@ snapshots:
       jest-message-util: 29.7.0
       jest-util: 29.7.0
 
+  exponential-backoff@3.1.2: {}
+
   expr-eval@2.0.2: {}
 
   express-rate-limit@7.5.0(express@5.0.1):
@@ -24764,6 +29706,42 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  express@4.21.2:
+    dependencies:
+      accepts: 1.3.8
+      array-flatten: 1.1.1
+      body-parser: 1.20.3
+      content-disposition: 0.5.4
+      content-type: 1.0.5
+      cookie: 0.7.1
+      cookie-signature: 1.0.6
+      debug: 2.6.9
+      depd: 2.0.0
+      encodeurl: 2.0.0
+      escape-html: 1.0.3
+      etag: 1.8.1
+      finalhandler: 1.3.1
+      fresh: 0.5.2
+      http-errors: 2.0.0
+      merge-descriptors: 1.0.3
+      methods: 1.1.2
+      on-finished: 2.4.1
+      parseurl: 1.3.3
+      path-to-regexp: 0.1.12
+      proxy-addr: 2.0.7
+      qs: 6.13.0
+      range-parser: 1.2.1
+      safe-buffer: 5.2.1
+      send: 0.19.0
+      serve-static: 1.16.2
+      setprototypeof: 1.2.0
+      statuses: 2.0.1
+      type-is: 1.6.18
+      utils-merge: 1.0.1
+      vary: 1.1.2
+    transitivePeerDependencies:
+      - supports-color
+
   express@5.0.1:
     dependencies:
       accepts: 2.0.0
@@ -24834,6 +29812,14 @@ snapshots:
       merge2: 1.4.1
       micromatch: 4.0.8
 
+  fast-glob@3.3.3:
+    dependencies:
+      '@nodelib/fs.stat': 2.0.5
+      '@nodelib/fs.walk': 1.2.8
+      glob-parent: 5.1.2
+      merge2: 1.4.1
+      micromatch: 4.0.8
+
   fast-json-stable-stringify@2.1.0: {}
 
   fast-json-stringify@6.0.0:
@@ -24893,6 +29879,10 @@ snapshots:
     dependencies:
       reusify: 1.1.0
 
+  faye-websocket@0.11.4:
+    dependencies:
+      websocket-driver: 0.7.4
+
   fb-watchman@2.0.2:
     dependencies:
       bser: 2.1.1
@@ -24901,6 +29891,10 @@ snapshots:
     optionalDependencies:
       picomatch: 4.0.2
 
+  fdir@6.4.6(picomatch@4.0.2):
+    optionalDependencies:
+      picomatch: 4.0.2
+
   figures@3.2.0:
     dependencies:
       escape-string-regexp: 1.0.5
@@ -24967,6 +29961,11 @@ snapshots:
       make-dir: 2.1.0
       pkg-dir: 3.0.0
 
+  find-cache-dir@4.0.0:
+    dependencies:
+      common-path-prefix: 3.0.0
+      pkg-dir: 7.0.0
+
   find-my-way@9.0.1:
     dependencies:
       fast-deep-equal: 3.1.3
@@ -24987,6 +29986,11 @@ snapshots:
       locate-path: 6.0.0
       path-exists: 4.0.0
 
+  find-up@6.3.0:
+    dependencies:
+      locate-path: 7.2.0
+      path-exists: 5.0.0
+
   flat-cache@3.2.0:
     dependencies:
       flatted: 3.3.3
@@ -25006,7 +30010,9 @@ snapshots:
 
   flow-parser@0.252.0: {}
 
-  follow-redirects@1.15.9: {}
+  follow-redirects@1.15.9(debug@4.4.1):
+    optionalDependencies:
+      debug: 4.4.1
 
   for-each@0.3.3:
     dependencies:
@@ -25034,7 +30040,7 @@ snapshots:
       minimatch: 3.1.2
       node-abort-controller: 3.1.1
       schema-utils: 3.3.0
-      semver: 7.6.3
+      semver: 7.7.1
       tapable: 2.2.1
       typescript: 5.6.3
       webpack: 5.96.1
@@ -25112,6 +30118,10 @@ snapshots:
     dependencies:
       minipass: 3.3.6
 
+  fs-minipass@3.0.3:
+    dependencies:
+      minipass: 7.1.2
+
   fs-monkey@1.0.6: {}
 
   fs.realpath@1.0.0: {}
@@ -25145,32 +30155,32 @@ snapshots:
       strip-ansi: 6.0.1
       wide-align: 1.1.5
 
-  gaxios@6.5.0:
+  gaxios@6.5.0(encoding@0.1.13):
     dependencies:
       extend: 3.0.2
       https-proxy-agent: 7.0.5
       is-stream: 2.0.1
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       uuid: 9.0.1
     transitivePeerDependencies:
       - encoding
       - supports-color
 
-  gcp-metadata@6.1.0:
+  gcp-metadata@6.1.0(encoding@0.1.13):
     dependencies:
-      gaxios: 6.5.0
+      gaxios: 6.5.0(encoding@0.1.13)
       json-bigint: 1.0.0
     transitivePeerDependencies:
       - encoding
       - supports-color
 
-  geist@1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)):
+  geist@1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)):
     dependencies:
-      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0)
 
-  geist@1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)):
+  geist@1.3.1(next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)):
     dependencies:
-      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      next: 15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0)
 
   generic-pool@3.9.0: {}
 
@@ -25356,13 +30366,13 @@ snapshots:
       slash: 5.1.0
       unicorn-magic: 0.1.0
 
-  google-auth-library@9.15.0:
+  google-auth-library@9.15.0(encoding@0.1.13):
     dependencies:
       base64-js: 1.5.1
       ecdsa-sig-formatter: 1.0.11
-      gaxios: 6.5.0
-      gcp-metadata: 6.1.0
-      gtoken: 7.1.0
+      gaxios: 6.5.0(encoding@0.1.13)
+      gcp-metadata: 6.1.0(encoding@0.1.13)
+      gtoken: 7.1.0(encoding@0.1.13)
       jws: 4.0.0
     transitivePeerDependencies:
       - encoding
@@ -25380,9 +30390,9 @@ snapshots:
 
   graphql@16.9.0: {}
 
-  gtoken@7.1.0:
+  gtoken@7.1.0(encoding@0.1.13):
     dependencies:
-      gaxios: 6.5.0
+      gaxios: 6.5.0(encoding@0.1.13)
       jws: 4.0.0
     transitivePeerDependencies:
       - encoding
@@ -25405,6 +30415,8 @@ snapshots:
       uncrypto: 0.1.3
       unenv: 1.10.0
 
+  handle-thing@2.0.1: {}
+
   has-bigints@1.0.2: {}
 
   has-flag@3.0.0: {}
@@ -25471,6 +30483,17 @@ snapshots:
 
   hookable@5.5.3: {}
 
+  hosted-git-info@8.1.0:
+    dependencies:
+      lru-cache: 10.4.3
+
+  hpack.js@2.1.6:
+    dependencies:
+      inherits: 2.0.4
+      obuf: 1.1.2
+      readable-stream: 2.3.8
+      wbuf: 1.7.3
+
   html-encoding-sniffer@4.0.0:
     dependencies:
       whatwg-encoding: 3.1.1
@@ -25481,11 +30504,22 @@ snapshots:
 
   html-url-attributes@3.0.1: {}
 
+  htmlparser2@10.0.0:
+    dependencies:
+      domelementtype: 2.3.0
+      domhandler: 5.0.3
+      domutils: 3.2.2
+      entities: 6.0.1
+
   http-assert@1.5.0:
     dependencies:
       deep-equal: 1.0.1
       http-errors: 1.8.1
 
+  http-cache-semantics@4.2.0: {}
+
+  http-deceiver@1.2.7: {}
+
   http-errors@1.6.3:
     dependencies:
       depd: 1.1.2
@@ -25509,6 +30543,8 @@ snapshots:
       statuses: 2.0.1
       toidentifier: 1.0.1
 
+  http-parser-js@0.5.10: {}
+
   http-proxy-agent@7.0.0:
     dependencies:
       agent-base: 7.1.1
@@ -25523,12 +30559,43 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  http-proxy-middleware@2.0.9(@types/express@4.17.23):
+    dependencies:
+      '@types/http-proxy': 1.17.15
+      http-proxy: 1.18.1(debug@4.4.1)
+      is-glob: 4.0.3
+      is-plain-obj: 3.0.0
+      micromatch: 4.0.8
+    optionalDependencies:
+      '@types/express': 4.17.23
+    transitivePeerDependencies:
+      - debug
+
+  http-proxy-middleware@3.0.5:
+    dependencies:
+      '@types/http-proxy': 1.17.15
+      debug: 4.4.1
+      http-proxy: 1.18.1(debug@4.4.1)
+      is-glob: 4.0.3
+      is-plain-object: 5.0.0
+      micromatch: 4.0.8
+    transitivePeerDependencies:
+      - supports-color
+
+  http-proxy@1.18.1(debug@4.4.1):
+    dependencies:
+      eventemitter3: 4.0.7
+      follow-redirects: 1.15.9(debug@4.4.1)
+      requires-port: 1.0.0
+    transitivePeerDependencies:
+      - debug
+
   http-shutdown@1.2.2: {}
 
   https-proxy-agent@5.0.1:
     dependencies:
       agent-base: 6.0.2
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
     transitivePeerDependencies:
       - supports-color
 
@@ -25562,6 +30629,8 @@ snapshots:
 
   husky@8.0.3: {}
 
+  hyperdyperid@1.2.0: {}
+
   iconv-lite@0.4.24:
     dependencies:
       safer-buffer: 2.1.2
@@ -25574,12 +30643,20 @@ snapshots:
     dependencies:
       safer-buffer: 2.1.2
 
+  icss-utils@5.1.0(postcss@8.5.3):
+    dependencies:
+      postcss: 8.5.3
+
   ieee754@1.2.1: {}
 
   ignore-walk@5.0.1:
     dependencies:
       minimatch: 5.1.6
 
+  ignore-walk@7.0.0:
+    dependencies:
+      minimatch: 9.0.5
+
   ignore@5.3.1: {}
 
   ignore@5.3.2: {}
@@ -25592,10 +30669,15 @@ snapshots:
     dependencies:
       '@types/node': 16.9.1
 
+  image-size@0.5.5:
+    optional: true
+
   image-type@5.2.0:
     dependencies:
       file-type: 18.7.0
 
+  immutable@5.1.3: {}
+
   import-fresh@3.3.1:
     dependencies:
       parent-module: 1.0.1
@@ -25659,6 +30741,8 @@ snapshots:
 
   ini@4.1.1: {}
 
+  ini@5.0.0: {}
+
   inline-style-parser@0.2.4: {}
 
   inquirer@8.2.6:
@@ -25712,7 +30796,7 @@ snapshots:
     dependencies:
       '@ioredis/commands': 1.2.0
       cluster-key-slot: 1.1.2
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       denque: 2.1.0
       lodash.defaults: 4.2.0
       lodash.isarguments: 3.1.0
@@ -25722,8 +30806,15 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  ip-address@9.0.5:
+    dependencies:
+      jsbn: 1.1.0
+      sprintf-js: 1.1.3
+
   ipaddr.js@1.9.1: {}
 
+  ipaddr.js@2.2.0: {}
+
   iron-webcrypto@1.2.1: {}
 
   is-alphabetical@2.0.1: {}
@@ -25780,6 +30871,10 @@ snapshots:
     dependencies:
       hasown: 2.0.2
 
+  is-core-module@2.16.1:
+    dependencies:
+      hasown: 2.0.2
+
   is-data-view@1.0.1:
     dependencies:
       is-typed-array: 1.1.13
@@ -25839,6 +30934,8 @@ snapshots:
 
   is-negative-zero@2.0.3: {}
 
+  is-network-error@1.1.0: {}
+
   is-node-process@1.2.0: {}
 
   is-number-object@1.0.7:
@@ -25851,12 +30948,16 @@ snapshots:
 
   is-path-inside@4.0.0: {}
 
+  is-plain-obj@3.0.0: {}
+
   is-plain-obj@4.1.0: {}
 
   is-plain-object@2.0.4:
     dependencies:
       isobject: 3.0.1
 
+  is-plain-object@5.0.0: {}
+
   is-potential-custom-element-name@1.0.1: {}
 
   is-promise@4.0.0: {}
@@ -25917,6 +31018,8 @@ snapshots:
       call-bind: 1.0.7
       get-intrinsic: 1.3.0
 
+  is-what@3.14.1: {}
+
   is-what@4.1.16: {}
 
   is-windows@1.0.2: {}
@@ -25939,14 +31042,16 @@ snapshots:
 
   isexe@2.0.0: {}
 
+  isexe@3.1.1: {}
+
   isobject@3.0.1: {}
 
   istanbul-lib-coverage@3.2.2: {}
 
   istanbul-lib-instrument@5.2.1:
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/parser': 7.26.2
+      '@babel/core': 7.26.10
+      '@babel/parser': 7.28.0
       '@istanbuljs/schema': 0.1.3
       istanbul-lib-coverage: 3.2.2
       semver: 6.3.1
@@ -25955,11 +31060,11 @@ snapshots:
 
   istanbul-lib-instrument@6.0.3:
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/parser': 7.26.2
+      '@babel/core': 7.26.10
+      '@babel/parser': 7.28.0
       '@istanbuljs/schema': 0.1.3
       istanbul-lib-coverage: 3.2.2
-      semver: 7.6.3
+      semver: 7.7.1
     transitivePeerDependencies:
       - supports-color
 
@@ -25971,7 +31076,7 @@ snapshots:
 
   istanbul-lib-source-maps@4.0.1:
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       istanbul-lib-coverage: 3.2.2
       source-map: 0.6.1
     transitivePeerDependencies:
@@ -26069,12 +31174,32 @@ snapshots:
       - supports-color
       - ts-node
 
+  jest-cli@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)):
+    dependencies:
+      '@jest/core': 29.7.0(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      '@jest/test-result': 29.7.0
+      '@jest/types': 29.6.3
+      chalk: 4.1.2
+      create-jest: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      exit: 0.1.2
+      import-local: 3.2.0
+      jest-config: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      jest-util: 29.7.0
+      jest-validate: 29.7.0
+      yargs: 17.7.2
+    transitivePeerDependencies:
+      - '@types/node'
+      - babel-plugin-macros
+      - supports-color
+      - ts-node
+    optional: true
+
   jest-config@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)):
     dependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@jest/test-sequencer': 29.7.0
       '@jest/types': 29.6.3
-      babel-jest: 29.7.0(@babel/core@7.26.0)
+      babel-jest: 29.7.0(@babel/core@7.26.10)
       chalk: 4.1.2
       ci-info: 3.9.0
       deepmerge: 4.3.1
@@ -26100,6 +31225,38 @@ snapshots:
       - babel-plugin-macros
       - supports-color
 
+  jest-config@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)):
+    dependencies:
+      '@babel/core': 7.26.10
+      '@jest/test-sequencer': 29.7.0
+      '@jest/types': 29.6.3
+      babel-jest: 29.7.0(@babel/core@7.26.10)
+      chalk: 4.1.2
+      ci-info: 3.9.0
+      deepmerge: 4.3.1
+      glob: 7.2.3
+      graceful-fs: 4.2.11
+      jest-circus: 29.7.0
+      jest-environment-node: 29.7.0
+      jest-get-type: 29.6.3
+      jest-regex-util: 29.6.3
+      jest-resolve: 29.7.0
+      jest-runner: 29.7.0
+      jest-util: 29.7.0
+      jest-validate: 29.7.0
+      micromatch: 4.0.8
+      parse-json: 5.2.0
+      pretty-format: 29.7.0
+      slash: 3.0.0
+      strip-json-comments: 3.1.1
+    optionalDependencies:
+      '@types/node': 20.17.24
+      ts-node: 10.9.2(@types/node@20.17.24)(typescript@5.8.3)
+    transitivePeerDependencies:
+      - babel-plugin-macros
+      - supports-color
+    optional: true
+
   jest-diff@29.7.0:
     dependencies:
       chalk: 4.1.2
@@ -26197,7 +31354,7 @@ snapshots:
       jest-pnp-resolver: 1.2.3(jest-resolve@29.7.0)
       jest-util: 29.7.0
       jest-validate: 29.7.0
-      resolve: 1.22.8
+      resolve: 1.22.10
       resolve.exports: 2.0.2
       slash: 3.0.0
 
@@ -26256,15 +31413,15 @@ snapshots:
 
   jest-snapshot@29.7.0:
     dependencies:
-      '@babel/core': 7.26.0
-      '@babel/generator': 7.26.2
-      '@babel/plugin-syntax-jsx': 7.25.9(@babel/core@7.26.0)
-      '@babel/plugin-syntax-typescript': 7.25.9(@babel/core@7.26.0)
+      '@babel/core': 7.26.10
+      '@babel/generator': 7.28.0
+      '@babel/plugin-syntax-jsx': 7.25.9(@babel/core@7.26.10)
+      '@babel/plugin-syntax-typescript': 7.25.9(@babel/core@7.26.10)
       '@babel/types': 7.26.0
       '@jest/expect-utils': 29.7.0
       '@jest/transform': 29.7.0
       '@jest/types': 29.6.3
-      babel-preset-current-node-syntax: 1.1.0(@babel/core@7.26.0)
+      babel-preset-current-node-syntax: 1.1.0(@babel/core@7.26.10)
       chalk: 4.1.2
       expect: 29.7.0
       graceful-fs: 4.2.11
@@ -26275,7 +31432,7 @@ snapshots:
       jest-util: 29.7.0
       natural-compare: 1.4.0
       pretty-format: 29.7.0
-      semver: 7.6.3
+      semver: 7.7.1
     transitivePeerDependencies:
       - supports-color
 
@@ -26333,6 +31490,19 @@ snapshots:
       - supports-color
       - ts-node
 
+  jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3)):
+    dependencies:
+      '@jest/core': 29.7.0(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+      '@jest/types': 29.6.3
+      import-local: 3.2.0
+      jest-cli: 29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.8.3))
+    transitivePeerDependencies:
+      - '@types/node'
+      - babel-plugin-macros
+      - supports-color
+      - ts-node
+    optional: true
+
   jimp@0.14.0:
     dependencies:
       '@babel/runtime': 7.25.7
@@ -26389,7 +31559,9 @@ snapshots:
     dependencies:
       argparse: 2.0.1
 
-  jscodeshift@17.1.1:
+  jsbn@1.1.0: {}
+
+  jscodeshift@17.1.1(@babel/preset-env@7.26.9(@babel/core@7.25.2)):
     dependencies:
       '@babel/core': 7.25.2
       '@babel/parser': 7.26.2
@@ -26409,6 +31581,8 @@ snapshots:
       recast: 0.23.9
       tmp: 0.2.3
       write-file-atomic: 5.0.1
+    optionalDependencies:
+      '@babel/preset-env': 7.26.9(@babel/core@7.25.2)
     transitivePeerDependencies:
       - supports-color
 
@@ -26478,6 +31652,8 @@ snapshots:
 
   json-parse-even-better-errors@2.3.1: {}
 
+  json-parse-even-better-errors@4.0.0: {}
+
   json-schema-ref-resolver@1.0.1:
     dependencies:
       fast-deep-equal: 3.1.3
@@ -26526,6 +31702,8 @@ snapshots:
 
   jsonify@0.0.1: {}
 
+  jsonparse@1.3.1: {}
+
   jsonpointer@5.0.1: {}
 
   jsx-ast-utils@3.3.5:
@@ -26546,6 +31724,10 @@ snapshots:
       jwa: 2.0.0
       safe-buffer: 5.2.1
 
+  karma-source-map-support@1.4.0:
+    dependencies:
+      source-map-support: 0.5.21
+
   keygrip@1.1.0:
     dependencies:
       tsscmp: 1.0.6
@@ -26575,7 +31757,7 @@ snapshots:
 
   koa-send@5.0.1:
     dependencies:
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       http-errors: 1.8.1
       resolve-path: 1.4.0
     transitivePeerDependencies:
@@ -26595,7 +31777,7 @@ snapshots:
       content-disposition: 0.5.4
       content-type: 1.0.5
       cookies: 0.8.0
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       delegates: 1.0.0
       depd: 2.0.0
       destroy: 1.2.0
@@ -26618,26 +31800,26 @@ snapshots:
 
   kolorist@1.8.0: {}
 
-  langchain@0.1.36(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(fast-xml-parser@4.4.1)(ignore@5.3.2)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.49))(playwright@1.50.1)(redis@4.7.0)(ws@8.18.0):
+  langchain@0.1.36(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(encoding@0.1.13)(fast-xml-parser@4.4.1)(ignore@5.3.2)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.76))(playwright@1.50.1)(redis@4.7.0)(ws@8.18.0):
     dependencies:
-      '@anthropic-ai/sdk': 0.9.1
-      '@langchain/community': 0.0.57(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.49))(redis@4.7.0)(ws@8.18.0)
-      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
-      '@langchain/openai': 0.0.28
-      '@langchain/textsplitters': 0.0.2(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+      '@anthropic-ai/sdk': 0.9.1(encoding@0.1.13)
+      '@langchain/community': 0.0.57(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.663.0)(@aws-sdk/credential-provider-node@3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0))(@smithy/util-utf8@2.3.0)(@upstash/redis@1.34.3)(@vercel/kv@0.2.4)(encoding@0.1.13)(ioredis@5.4.1)(jsdom@26.0.0)(lodash@4.17.21)(openai@5.6.0(ws@8.18.0)(zod@3.25.76))(redis@4.7.0)(ws@8.18.0)
+      '@langchain/core': 0.1.63(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
+      '@langchain/openai': 0.0.28(encoding@0.1.13)
+      '@langchain/textsplitters': 0.0.2(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       binary-extensions: 2.2.0
       js-tiktoken: 1.0.12
       js-yaml: 4.1.0
       jsonpointer: 5.0.1
       langchainhub: 0.0.11
-      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.49))
+      langsmith: 0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.76))
       ml-distance: 4.0.1
       openapi-types: 12.1.3
       p-retry: 4.6.2
       uuid: 9.0.1
       yaml: 2.4.2
-      zod: 3.25.49
-      zod-to-json-schema: 3.23.5(zod@3.25.49)
+      zod: 3.25.76
+      zod-to-json-schema: 3.23.5(zod@3.25.76)
     optionalDependencies:
       '@aws-sdk/credential-provider-node': 3.662.0(@aws-sdk/client-sso-oidc@3.662.0(@aws-sdk/client-sts@3.662.0))(@aws-sdk/client-sts@3.662.0)
       '@vercel/kv': 0.2.4
@@ -26722,7 +31904,7 @@ snapshots:
 
   langchainhub@0.0.11: {}
 
-  langsmith@0.1.23(openai@4.52.6):
+  langsmith@0.1.23(openai@4.52.6(encoding@0.1.13)):
     dependencies:
       '@types/uuid': 9.0.7
       commander: 10.0.1
@@ -26730,9 +31912,9 @@ snapshots:
       p-retry: 4.6.2
       uuid: 9.0.1
     optionalDependencies:
-      openai: 4.52.6
+      openai: 4.52.6(encoding@0.1.13)
 
-  langsmith@0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.49)):
+  langsmith@0.1.23(openai@5.6.0(ws@8.18.0)(zod@3.25.76)):
     dependencies:
       '@types/uuid': 9.0.7
       commander: 10.0.1
@@ -26740,7 +31922,7 @@ snapshots:
       p-retry: 4.6.2
       uuid: 9.0.1
     optionalDependencies:
-      openai: 5.6.0(ws@8.18.0)(zod@3.25.49)
+      openai: 5.6.0(ws@8.18.0)(zod@3.25.76)
 
   language-subtag-registry@0.3.22: {}
 
@@ -26757,6 +31939,26 @@ snapshots:
     dependencies:
       readable-stream: 2.3.8
 
+  less-loader@12.2.0(less@4.2.2)(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      less: 4.2.2
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+
+  less@4.2.2:
+    dependencies:
+      copy-anything: 2.0.6
+      parse-node-version: 1.0.1
+      tslib: 2.8.1
+    optionalDependencies:
+      errno: 0.1.8
+      graceful-fs: 4.2.11
+      image-size: 0.5.5
+      make-dir: 2.1.0
+      mime: 1.6.0
+      needle: 3.3.1
+      source-map: 0.6.1
+
   leven@3.1.0: {}
 
   levn@0.4.1:
@@ -26764,6 +31966,12 @@ snapshots:
       prelude-ls: 1.2.1
       type-check: 0.4.0
 
+  license-webpack-plugin@4.0.2(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      webpack-sources: 3.2.3
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+
   light-my-request@6.0.0:
     dependencies:
       cookie: 0.6.0
@@ -26823,6 +32031,31 @@ snapshots:
       rfdc: 1.4.1
       wrap-ansi: 9.0.0
 
+  listr2@8.2.5:
+    dependencies:
+      cli-truncate: 4.0.0
+      colorette: 2.0.20
+      eventemitter3: 5.0.1
+      log-update: 6.1.0
+      rfdc: 1.4.1
+      wrap-ansi: 9.0.0
+
+  lmdb@3.2.6:
+    dependencies:
+      msgpackr: 1.11.4
+      node-addon-api: 6.1.0
+      node-gyp-build-optional-packages: 5.2.2
+      ordered-binary: 1.6.0
+      weak-lru-cache: 1.2.2
+    optionalDependencies:
+      '@lmdb/lmdb-darwin-arm64': 3.2.6
+      '@lmdb/lmdb-darwin-x64': 3.2.6
+      '@lmdb/lmdb-linux-arm': 3.2.6
+      '@lmdb/lmdb-linux-arm64': 3.2.6
+      '@lmdb/lmdb-linux-x64': 3.2.6
+      '@lmdb/lmdb-win32-x64': 3.2.6
+    optional: true
+
   load-bmfont@1.4.2:
     dependencies:
       buffer-equal: 0.0.1
@@ -26840,6 +32073,14 @@ snapshots:
 
   loader-runner@4.3.0: {}
 
+  loader-utils@2.0.4:
+    dependencies:
+      big.js: 5.2.2
+      emojis-list: 3.0.0
+      json5: 2.2.3
+
+  loader-utils@3.3.1: {}
+
   local-pkg@0.5.1:
     dependencies:
       mlly: 1.7.3
@@ -26860,8 +32101,14 @@ snapshots:
     dependencies:
       p-locate: 5.0.0
 
+  locate-path@7.2.0:
+    dependencies:
+      p-locate: 6.0.0
+
   lodash.camelcase@4.3.0: {}
 
+  lodash.debounce@4.0.8: {}
+
   lodash.defaults@4.2.0: {}
 
   lodash.isarguments@3.1.0: {}
@@ -26964,10 +32211,26 @@ snapshots:
 
   make-dir@4.0.0:
     dependencies:
-      semver: 7.6.3
+      semver: 7.7.1
 
   make-error@1.3.6: {}
 
+  make-fetch-happen@14.0.3:
+    dependencies:
+      '@npmcli/agent': 3.0.0
+      cacache: 19.0.1
+      http-cache-semantics: 4.2.0
+      minipass: 7.1.2
+      minipass-fetch: 4.0.1
+      minipass-flush: 1.0.5
+      minipass-pipeline: 1.2.4
+      negotiator: 1.0.0
+      proc-log: 5.0.0
+      promise-retry: 2.0.1
+      ssri: 12.0.0
+    transitivePeerDependencies:
+      - supports-color
+
   makeerror@1.0.12:
     dependencies:
       tmpl: 1.0.5
@@ -27093,6 +32356,13 @@ snapshots:
     dependencies:
       fs-monkey: 1.0.6
 
+  memfs@4.17.2:
+    dependencies:
+      '@jsonjoy.com/json-pack': 1.2.0(tslib@2.8.1)
+      '@jsonjoy.com/util': 1.6.0(tslib@2.8.1)
+      tree-dump: 1.0.3(tslib@2.8.1)
+      tslib: 2.8.1
+
   merge-descriptors@1.0.3: {}
 
   merge-descriptors@2.0.0: {}
@@ -27217,7 +32487,7 @@ snapshots:
   micromark@4.0.0:
     dependencies:
       '@types/debug': 4.1.12
-      debug: 4.4.0(supports-color@9.4.0)
+      debug: 4.4.1
       decode-named-character-reference: 1.0.2
       devlop: 1.1.0
       micromark-core-commonmark: 2.0.1
@@ -27278,6 +32548,14 @@ snapshots:
 
   min-indent@1.0.1: {}
 
+  mini-css-extract-plugin@2.9.2(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      schema-utils: 4.3.2
+      tapable: 2.2.1
+      webpack: 5.98.0(esbuild@0.25.4)
+
+  minimalistic-assert@1.0.1: {}
+
   minimatch@3.1.2:
     dependencies:
       brace-expansion: 1.1.11
@@ -27304,6 +32582,30 @@ snapshots:
 
   minimist@1.2.8: {}
 
+  minipass-collect@2.0.1:
+    dependencies:
+      minipass: 7.1.2
+
+  minipass-fetch@4.0.1:
+    dependencies:
+      minipass: 7.1.2
+      minipass-sized: 1.0.3
+      minizlib: 3.0.1
+    optionalDependencies:
+      encoding: 0.1.13
+
+  minipass-flush@1.0.5:
+    dependencies:
+      minipass: 3.3.6
+
+  minipass-pipeline@1.2.4:
+    dependencies:
+      minipass: 3.3.6
+
+  minipass-sized@1.0.3:
+    dependencies:
+      minipass: 3.3.6
+
   minipass@3.3.6:
     dependencies:
       yallist: 4.0.0
@@ -27377,12 +32679,31 @@ snapshots:
 
   mrmime@2.0.0: {}
 
+  mrmime@2.0.1: {}
+
   ms@2.0.0: {}
 
   ms@2.1.2: {}
 
   ms@2.1.3: {}
 
+  msgpackr-extract@3.0.3:
+    dependencies:
+      node-gyp-build-optional-packages: 5.2.2
+    optionalDependencies:
+      '@msgpackr-extract/msgpackr-extract-darwin-arm64': 3.0.3
+      '@msgpackr-extract/msgpackr-extract-darwin-x64': 3.0.3
+      '@msgpackr-extract/msgpackr-extract-linux-arm': 3.0.3
+      '@msgpackr-extract/msgpackr-extract-linux-arm64': 3.0.3
+      '@msgpackr-extract/msgpackr-extract-linux-x64': 3.0.3
+      '@msgpackr-extract/msgpackr-extract-win32-x64': 3.0.3
+    optional: true
+
+  msgpackr@1.11.4:
+    optionalDependencies:
+      msgpackr-extract: 3.0.3
+    optional: true
+
   msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3):
     dependencies:
       '@bundled-es-modules/cookie': 2.0.1
@@ -27495,6 +32816,11 @@ snapshots:
       type-is: 1.6.18
       xtend: 4.0.2
 
+  multicast-dns@7.2.5:
+    dependencies:
+      dns-packet: 5.6.1
+      thunky: 1.1.0
+
   mustache@4.2.0: {}
 
   mute-stream@0.0.8: {}
@@ -27519,13 +32845,21 @@ snapshots:
 
   natural-compare@1.4.0: {}
 
+  needle@3.3.1:
+    dependencies:
+      iconv-lite: 0.6.3
+      sax: 1.4.1
+    optional: true
+
   negotiator@0.6.3: {}
 
+  negotiator@0.6.4: {}
+
   negotiator@1.0.0: {}
 
   neo-async@2.6.2: {}
 
-  next@15.0.0-canary.23(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@19.0.0-rc-cc1ec60d0d-20240607(react@19.0.0-rc-cc1ec60d0d-20240607))(react@19.0.0-rc-cc1ec60d0d-20240607):
+  next@15.0.0-canary.23(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@19.0.0-rc-cc1ec60d0d-20240607(react@19.0.0-rc-cc1ec60d0d-20240607))(react@19.0.0-rc-cc1ec60d0d-20240607)(sass@1.85.0):
     dependencies:
       '@next/env': 15.0.0-canary.23
       '@swc/helpers': 0.5.11
@@ -27548,12 +32882,13 @@ snapshots:
       '@next/swc-win32-x64-msvc': 15.0.0-canary.23
       '@opentelemetry/api': 1.9.0
       '@playwright/test': 1.46.0
+      sass: 1.85.0
       sharp: 0.33.5
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
 
-  next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0):
+  next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.85.0):
     dependencies:
       '@next/env': 15.2.4
       '@swc/counter': 0.1.3
@@ -27575,12 +32910,13 @@ snapshots:
       '@next/swc-win32-x64-msvc': 15.2.4
       '@opentelemetry/api': 1.9.0
       '@playwright/test': 1.50.1
+      sass: 1.85.0
       sharp: 0.33.5
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
 
-  next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
+  next@15.2.4(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0):
     dependencies:
       '@next/env': 15.2.4
       '@swc/counter': 0.1.3
@@ -27602,12 +32938,13 @@ snapshots:
       '@next/swc-win32-x64-msvc': 15.2.4
       '@opentelemetry/api': 1.9.0
       '@playwright/test': 1.50.1
+      sass: 1.85.0
       sharp: 0.33.5
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
 
-  next@15.3.0-canary.43(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@19.0.0-rc.1(react@19.0.0-rc.1))(react@19.0.0-rc.1):
+  next@15.3.0-canary.43(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@19.0.0-rc.1(react@19.0.0-rc.1))(react@19.0.0-rc.1)(sass@1.85.0):
     dependencies:
       '@next/env': 15.3.0-canary.43
       '@swc/counter': 0.1.3
@@ -27629,12 +32966,13 @@ snapshots:
       '@next/swc-win32-x64-msvc': 15.3.0-canary.43
       '@opentelemetry/api': 1.9.0
       '@playwright/test': 1.50.1
+      sass: 1.85.0
       sharp: 0.34.1
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
 
-  next@15.3.3(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
+  next@15.3.3(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.85.0):
     dependencies:
       '@next/env': 15.3.3
       '@swc/counter': 0.1.3
@@ -27656,12 +32994,13 @@ snapshots:
       '@next/swc-win32-x64-msvc': 15.3.3
       '@opentelemetry/api': 1.9.0
       '@playwright/test': 1.50.1
+      sass: 1.85.0
       sharp: 0.34.1
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
 
-  nitropack@2.10.4(@upstash/redis@1.34.3)(typescript@5.8.3):
+  nitropack@2.10.4(@upstash/redis@1.34.3)(encoding@0.1.13)(typescript@5.8.3):
     dependencies:
       '@cloudflare/kv-asset-handler': 0.3.4
       '@netlify/functions': 2.8.2
@@ -27674,7 +33013,7 @@ snapshots:
       '@rollup/plugin-terser': 0.4.4(rollup@4.34.9)
       '@rollup/pluginutils': 5.1.3(rollup@4.34.9)
       '@types/http-proxy': 1.17.15
-      '@vercel/nft': 0.27.6
+      '@vercel/nft': 0.27.6(encoding@0.1.13)
       archiver: 7.0.1
       c12: 2.0.1(magicast@0.3.5)
       chokidar: 3.6.0
@@ -27710,7 +33049,7 @@ snapshots:
       node-fetch-native: 1.6.4
       ofetch: 1.4.1
       ohash: 1.1.4
-      openapi-typescript: 7.4.3(typescript@5.8.3)
+      openapi-typescript: 7.4.3(encoding@0.1.13)(typescript@5.8.3)
       pathe: 1.1.2
       perfect-debounce: 1.0.0
       pkg-types: 1.2.1
@@ -27719,7 +33058,7 @@ snapshots:
       rollup: 4.34.9
       rollup-plugin-visualizer: 5.12.0(rollup@4.34.9)
       scule: 1.3.0
-      semver: 7.6.3
+      semver: 7.7.1
       serve-placeholder: 2.0.2
       serve-static: 1.16.2
       std-env: 3.8.0
@@ -27760,6 +33099,9 @@ snapshots:
 
   node-abort-controller@3.1.1: {}
 
+  node-addon-api@6.1.0:
+    optional: true
+
   node-addon-api@7.0.0: {}
 
   node-domexception@1.0.0: {}
@@ -27770,20 +33112,44 @@ snapshots:
 
   node-fetch-native@1.6.4: {}
 
-  node-fetch@2.7.0:
+  node-fetch@2.7.0(encoding@0.1.13):
     dependencies:
       whatwg-url: 5.0.0
+    optionalDependencies:
+      encoding: 0.1.13
 
   node-forge@1.3.1: {}
 
+  node-gyp-build-optional-packages@5.2.2:
+    dependencies:
+      detect-libc: 2.0.3
+    optional: true
+
   node-gyp-build@4.6.1: {}
 
+  node-gyp@11.2.0:
+    dependencies:
+      env-paths: 2.2.1
+      exponential-backoff: 3.1.2
+      graceful-fs: 4.2.11
+      make-fetch-happen: 14.0.3
+      nopt: 8.1.0
+      proc-log: 5.0.0
+      semver: 7.7.1
+      tar: 7.4.3
+      tinyglobby: 0.2.14
+      which: 5.0.0
+    transitivePeerDependencies:
+      - supports-color
+
   node-int64@0.4.0: {}
 
   node-releases@2.0.14: {}
 
   node-releases@2.0.18: {}
 
+  node-releases@2.0.19: {}
+
   nopt@5.0.0:
     dependencies:
       abbrev: 1.1.1
@@ -27804,8 +33170,25 @@ snapshots:
     dependencies:
       npm-normalize-package-bin: 2.0.0
 
+  npm-bundled@4.0.0:
+    dependencies:
+      npm-normalize-package-bin: 4.0.0
+
+  npm-install-checks@7.1.1:
+    dependencies:
+      semver: 7.7.1
+
   npm-normalize-package-bin@2.0.0: {}
 
+  npm-normalize-package-bin@4.0.0: {}
+
+  npm-package-arg@12.0.2:
+    dependencies:
+      hosted-git-info: 8.1.0
+      proc-log: 5.0.0
+      semver: 7.7.1
+      validate-npm-package-name: 6.0.1
+
   npm-packlist@5.1.3:
     dependencies:
       glob: 8.1.0
@@ -27813,6 +33196,30 @@ snapshots:
       npm-bundled: 2.0.1
       npm-normalize-package-bin: 2.0.0
 
+  npm-packlist@9.0.0:
+    dependencies:
+      ignore-walk: 7.0.0
+
+  npm-pick-manifest@10.0.0:
+    dependencies:
+      npm-install-checks: 7.1.1
+      npm-normalize-package-bin: 4.0.0
+      npm-package-arg: 12.0.2
+      semver: 7.7.1
+
+  npm-registry-fetch@18.0.2:
+    dependencies:
+      '@npmcli/redact': 3.2.2
+      jsonparse: 1.3.1
+      make-fetch-happen: 14.0.3
+      minipass: 7.1.2
+      minipass-fetch: 4.0.1
+      minizlib: 3.0.1
+      npm-package-arg: 12.0.2
+      proc-log: 5.0.0
+    transitivePeerDependencies:
+      - supports-color
+
   npm-run-path@4.0.1:
     dependencies:
       path-key: 3.1.1
@@ -27836,14 +33243,14 @@ snapshots:
 
   nuxi@3.15.0: {}
 
-  nuxt@3.14.159(@parcel/watcher@2.4.1)(@types/node@20.17.24)(@upstash/redis@1.34.3)(eslint@9.21.0(jiti@2.4.0))(ioredis@5.4.1)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(terser@5.31.3)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(webpack-sources@3.2.3):
+  nuxt@3.14.159(@parcel/watcher@2.4.1)(@types/node@20.17.24)(@upstash/redis@1.34.3)(encoding@0.1.13)(eslint@9.21.0(jiti@2.4.0))(ioredis@5.4.1)(less@4.2.2)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(sass@1.85.0)(terser@5.39.0)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(webpack-sources@3.2.3):
     dependencies:
       '@nuxt/devalue': 2.0.2
-      '@nuxt/devtools': 1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))(vue@3.5.13(typescript@5.8.3))
+      '@nuxt/devtools': 1.6.3(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))(vue@3.5.13(typescript@5.8.3))
       '@nuxt/kit': 3.14.159(magicast@0.3.5)(rollup@4.34.9)
       '@nuxt/schema': 3.14.159(magicast@0.3.5)(rollup@4.34.9)
       '@nuxt/telemetry': 2.6.0(magicast@0.3.5)(rollup@4.34.9)
-      '@nuxt/vite-builder': 3.14.159(@types/node@20.17.24)(eslint@9.21.0(jiti@2.4.0))(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(terser@5.31.3)(typescript@5.8.3)(vue@3.5.13(typescript@5.8.3))(webpack-sources@3.2.3)
+      '@nuxt/vite-builder': 3.14.159(@types/node@20.17.24)(eslint@9.21.0(jiti@2.4.0))(less@4.2.2)(magicast@0.3.5)(optionator@0.9.4)(rollup@4.34.9)(sass@1.85.0)(terser@5.39.0)(typescript@5.8.3)(vue@3.5.13(typescript@5.8.3))(webpack-sources@3.2.3)
       '@unhead/dom': 1.11.11
       '@unhead/shared': 1.11.11
       '@unhead/ssr': 1.11.11
@@ -27873,7 +33280,7 @@ snapshots:
       magic-string: 0.30.12
       mlly: 1.7.2
       nanotar: 0.1.1
-      nitropack: 2.10.4(@upstash/redis@1.34.3)(typescript@5.8.3)
+      nitropack: 2.10.4(@upstash/redis@1.34.3)(encoding@0.1.13)(typescript@5.8.3)
       nuxi: 3.15.0
       nypm: 0.3.12
       ofetch: 1.4.1
@@ -28030,6 +33437,8 @@ snapshots:
       define-properties: 1.2.1
       es-object-atoms: 1.0.0
 
+  obuf@1.1.2: {}
+
   ofetch@1.4.1:
     dependencies:
       destr: 2.0.3
@@ -28046,6 +33455,8 @@ snapshots:
     dependencies:
       ee-first: 1.1.1
 
+  on-headers@1.0.2: {}
+
   once@1.4.0:
     dependencies:
       wrappy: 1.0.2
@@ -28082,7 +33493,7 @@ snapshots:
       is-docker: 2.2.1
       is-wsl: 2.2.0
 
-  openai@4.52.6:
+  openai@4.52.6(encoding@0.1.13):
     dependencies:
       '@types/node': 18.15.11
       '@types/node-fetch': 2.6.11
@@ -28090,22 +33501,22 @@ snapshots:
       agentkeepalive: 4.5.0
       form-data-encoder: 1.7.2
       formdata-node: 4.4.1
-      node-fetch: 2.7.0
+      node-fetch: 2.7.0(encoding@0.1.13)
       web-streams-polyfill: 3.3.3
     transitivePeerDependencies:
       - encoding
 
-  openai@5.6.0(ws@8.18.0)(zod@3.25.49):
+  openai@5.6.0(ws@8.18.0)(zod@3.25.76):
     optionalDependencies:
       ws: 8.18.0
-      zod: 3.25.49
+      zod: 3.25.76
     optional: true
 
   openapi-types@12.1.3: {}
 
-  openapi-typescript@7.4.3(typescript@5.8.3):
+  openapi-typescript@7.4.3(encoding@0.1.13)(typescript@5.8.3):
     dependencies:
-      '@redocly/openapi-core': 1.25.11(supports-color@9.4.0)
+      '@redocly/openapi-core': 1.25.11(encoding@0.1.13)(supports-color@9.4.0)
       ansi-colors: 4.1.3
       change-case: 5.4.4
       parse-json: 8.1.0
@@ -28136,6 +33547,9 @@ snapshots:
       strip-ansi: 6.0.1
       wcwidth: 1.0.1
 
+  ordered-binary@1.6.0:
+    optional: true
+
   os-tmpdir@1.0.2: {}
 
   outdent@0.5.0: {}
@@ -28156,6 +33570,10 @@ snapshots:
     dependencies:
       yocto-queue: 0.1.0
 
+  p-limit@4.0.0:
+    dependencies:
+      yocto-queue: 1.2.1
+
   p-locate@3.0.0:
     dependencies:
       p-limit: 2.3.0
@@ -28168,8 +33586,14 @@ snapshots:
     dependencies:
       p-limit: 3.1.0
 
+  p-locate@6.0.0:
+    dependencies:
+      p-limit: 4.0.0
+
   p-map@2.1.0: {}
 
+  p-map@7.0.3: {}
+
   p-queue@6.6.2:
     dependencies:
       eventemitter3: 4.0.7
@@ -28180,6 +33604,12 @@ snapshots:
       '@types/retry': 0.12.0
       retry: 0.13.1
 
+  p-retry@6.2.1:
+    dependencies:
+      '@types/retry': 0.12.2
+      is-network-error: 1.1.0
+      retry: 0.13.1
+
   p-timeout@3.2.0:
     dependencies:
       p-finally: 1.0.0
@@ -28194,6 +33624,28 @@ snapshots:
 
   package-manager-detector@0.2.2: {}
 
+  pacote@20.0.0:
+    dependencies:
+      '@npmcli/git': 6.0.3
+      '@npmcli/installed-package-contents': 3.0.0
+      '@npmcli/package-json': 6.2.0
+      '@npmcli/promise-spawn': 8.0.2
+      '@npmcli/run-script': 9.1.0
+      cacache: 19.0.1
+      fs-minipass: 3.0.3
+      minipass: 7.1.2
+      npm-package-arg: 12.0.2
+      npm-packlist: 9.0.0
+      npm-pick-manifest: 10.0.0
+      npm-registry-fetch: 18.0.2
+      proc-log: 5.0.0
+      promise-retry: 2.0.1
+      sigstore: 3.1.0
+      ssri: 12.0.0
+      tar: 6.2.0
+    transitivePeerDependencies:
+      - supports-color
+
   pako@1.0.11: {}
 
   parent-module@1.0.1:
@@ -28240,6 +33692,8 @@ snapshots:
       index-to-position: 0.1.2
       type-fest: 4.26.1
 
+  parse-node-version@1.0.1: {}
+
   parse-path@7.0.0:
     dependencies:
       protocols: 2.0.1
@@ -28248,6 +33702,16 @@ snapshots:
     dependencies:
       parse-path: 7.0.0
 
+  parse5-html-rewriting-stream@7.0.0:
+    dependencies:
+      entities: 4.5.0
+      parse5: 7.2.1
+      parse5-sax-parser: 7.0.0
+
+  parse5-sax-parser@7.0.0:
+    dependencies:
+      parse5: 7.2.1
+
   parse5@7.1.2:
     dependencies:
       entities: 4.5.0
@@ -28267,6 +33731,8 @@ snapshots:
 
   path-exists@4.0.0: {}
 
+  path-exists@5.0.0: {}
+
   path-is-absolute@1.0.1: {}
 
   path-key@3.1.1: {}
@@ -28287,6 +33753,8 @@ snapshots:
 
   path-to-regexp@0.1.10: {}
 
+  path-to-regexp@0.1.12: {}
+
   path-to-regexp@3.3.0: {}
 
   path-to-regexp@6.3.0: {}
@@ -28372,6 +33840,10 @@ snapshots:
 
   pirates@4.0.6: {}
 
+  piscina@4.8.0:
+    optionalDependencies:
+      '@napi-rs/nice': 1.0.4
+
   pixelmatch@4.0.2:
     dependencies:
       pngjs: 3.4.0
@@ -28386,6 +33858,10 @@ snapshots:
     dependencies:
       find-up: 4.1.0
 
+  pkg-dir@7.0.0:
+    dependencies:
+      find-up: 6.3.0
+
   pkg-types@1.2.1:
     dependencies:
       confbox: 0.1.8
@@ -28544,6 +34020,19 @@ snapshots:
       tsx: 4.19.2
       yaml: 2.7.0
 
+  postcss-loader@8.1.1(postcss@8.5.2)(typescript@5.8.3)(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      cosmiconfig: 9.0.0(typescript@5.8.3)
+      jiti: 1.21.6
+      postcss: 8.5.2
+      semver: 7.7.1
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+    transitivePeerDependencies:
+      - typescript
+
+  postcss-media-query-parser@0.2.3: {}
+
   postcss-merge-longhand@7.0.4(postcss@8.5.3):
     dependencies:
       postcss: 8.5.3
@@ -28583,6 +34072,27 @@ snapshots:
       postcss: 8.5.3
       postcss-selector-parser: 6.1.2
 
+  postcss-modules-extract-imports@3.1.0(postcss@8.5.3):
+    dependencies:
+      postcss: 8.5.3
+
+  postcss-modules-local-by-default@4.2.0(postcss@8.5.3):
+    dependencies:
+      icss-utils: 5.1.0(postcss@8.5.3)
+      postcss: 8.5.3
+      postcss-selector-parser: 7.0.0
+      postcss-value-parser: 4.2.0
+
+  postcss-modules-scope@3.2.1(postcss@8.5.3):
+    dependencies:
+      postcss: 8.5.3
+      postcss-selector-parser: 7.0.0
+
+  postcss-modules-values@4.0.0(postcss@8.5.3):
+    dependencies:
+      icss-utils: 5.1.0(postcss@8.5.3)
+      postcss: 8.5.3
+
   postcss-nested@6.2.0(postcss@8.5.3):
     dependencies:
       postcss: 8.5.3
@@ -28700,6 +34210,12 @@ snapshots:
       picocolors: 1.1.1
       source-map-js: 1.2.1
 
+  postcss@8.5.2:
+    dependencies:
+      nanoid: 3.3.8
+      picocolors: 1.1.1
+      source-map-js: 1.2.1
+
   postcss@8.5.3:
     dependencies:
       nanoid: 3.3.8
@@ -28722,7 +34238,7 @@ snapshots:
     dependencies:
       fast-diff: 1.3.0
 
-  prettier-plugin-svelte@3.3.3(prettier@3.5.3)(svelte@5.32.1):
+  prettier-plugin-svelte@3.4.0(prettier@3.5.3)(svelte@5.32.1):
     dependencies:
       prettier: 3.5.3
       svelte: 5.32.1
@@ -28747,6 +34263,8 @@ snapshots:
       ansi-styles: 5.2.0
       react-is: 18.3.1
 
+  proc-log@5.0.0: {}
+
   process-nextick-args@2.0.1: {}
 
   process-warning@4.0.0: {}
@@ -28755,6 +34273,11 @@ snapshots:
 
   progress@2.0.3: {}
 
+  promise-retry@2.0.1:
+    dependencies:
+      err-code: 2.0.3
+      retry: 0.12.0
+
   prompts@2.4.2:
     dependencies:
       kleur: 3.0.3
@@ -28794,6 +34317,9 @@ snapshots:
 
   proxy-from-env@1.1.0: {}
 
+  prr@1.0.1:
+    optional: true
+
   psl@1.9.0: {}
 
   publint@0.2.12:
@@ -28907,13 +34433,13 @@ snapshots:
 
   react-refresh@0.14.2: {}
 
-  react-server-dom-webpack@18.3.0-canary-eb33bd747-20240312(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(webpack@5.96.1):
+  react-server-dom-webpack@18.3.0-canary-eb33bd747-20240312(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(webpack@5.98.0):
     dependencies:
       acorn-loose: 8.4.0
       neo-async: 2.6.2
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
-      webpack: 5.96.1
+      webpack: 5.98.0(esbuild@0.25.4)
 
   react@18.2.0:
     dependencies:
@@ -29033,10 +34559,18 @@ snapshots:
       globalthis: 1.0.3
       which-builtin-type: 1.1.3
 
+  regenerate-unicode-properties@10.2.0:
+    dependencies:
+      regenerate: 1.4.2
+
+  regenerate@1.4.2: {}
+
   regenerator-runtime@0.13.11: {}
 
   regenerator-runtime@0.14.1: {}
 
+  regex-parser@2.3.1: {}
+
   regexp.prototype.flags@1.5.2:
     dependencies:
       call-bind: 1.0.7
@@ -29044,6 +34578,21 @@ snapshots:
       es-errors: 1.3.0
       set-function-name: 2.0.1
 
+  regexpu-core@6.2.0:
+    dependencies:
+      regenerate: 1.4.2
+      regenerate-unicode-properties: 10.2.0
+      regjsgen: 0.8.0
+      regjsparser: 0.12.0
+      unicode-match-property-ecmascript: 2.0.0
+      unicode-match-property-value-ecmascript: 2.2.0
+
+  regjsgen@0.8.0: {}
+
+  regjsparser@0.12.0:
+    dependencies:
+      jsesc: 3.0.2
+
   remark-parse@11.0.0:
     dependencies:
       '@types/mdast': 4.0.4
@@ -29107,8 +34656,22 @@ snapshots:
 
   resolve-pkg-maps@1.0.0: {}
 
+  resolve-url-loader@5.0.0:
+    dependencies:
+      adjust-sourcemap-loader: 4.0.0
+      convert-source-map: 1.9.0
+      loader-utils: 2.0.4
+      postcss: 8.5.3
+      source-map: 0.6.1
+
   resolve.exports@2.0.2: {}
 
+  resolve@1.22.10:
+    dependencies:
+      is-core-module: 2.16.1
+      path-parse: 1.0.7
+      supports-preserve-symlinks-flag: 1.0.0
+
   resolve@1.22.8:
     dependencies:
       is-core-module: 2.15.0
@@ -29131,12 +34694,12 @@ snapshots:
       onetime: 7.0.0
       signal-exit: 4.1.0
 
-  resumable-stream@2.0.0: {}
-
   resumable-stream@2.2.0: {}
 
   ret@0.5.0: {}
 
+  retry@0.12.0: {}
+
   retry@0.13.1: {}
 
   reusify@1.0.4: {}
@@ -29209,6 +34772,31 @@ snapshots:
       '@rollup/rollup-win32-x64-msvc': 4.20.0
       fsevents: 2.3.3
 
+  rollup@4.34.8:
+    dependencies:
+      '@types/estree': 1.0.6
+    optionalDependencies:
+      '@rollup/rollup-android-arm-eabi': 4.34.8
+      '@rollup/rollup-android-arm64': 4.34.8
+      '@rollup/rollup-darwin-arm64': 4.34.8
+      '@rollup/rollup-darwin-x64': 4.34.8
+      '@rollup/rollup-freebsd-arm64': 4.34.8
+      '@rollup/rollup-freebsd-x64': 4.34.8
+      '@rollup/rollup-linux-arm-gnueabihf': 4.34.8
+      '@rollup/rollup-linux-arm-musleabihf': 4.34.8
+      '@rollup/rollup-linux-arm64-gnu': 4.34.8
+      '@rollup/rollup-linux-arm64-musl': 4.34.8
+      '@rollup/rollup-linux-loongarch64-gnu': 4.34.8
+      '@rollup/rollup-linux-powerpc64le-gnu': 4.34.8
+      '@rollup/rollup-linux-riscv64-gnu': 4.34.8
+      '@rollup/rollup-linux-s390x-gnu': 4.34.8
+      '@rollup/rollup-linux-x64-gnu': 4.34.8
+      '@rollup/rollup-linux-x64-musl': 4.34.8
+      '@rollup/rollup-win32-arm64-msvc': 4.34.8
+      '@rollup/rollup-win32-ia32-msvc': 4.34.8
+      '@rollup/rollup-win32-x64-msvc': 4.34.8
+      fsevents: 2.3.3
+
   rollup@4.34.9:
     dependencies:
       '@types/estree': 1.0.6
@@ -29265,7 +34853,7 @@ snapshots:
 
   rxjs@7.8.1:
     dependencies:
-      tslib: 2.6.3
+      tslib: 2.8.1
 
   sade@1.8.1:
     dependencies:
@@ -29296,6 +34884,21 @@ snapshots:
 
   safer-buffer@2.1.2: {}
 
+  sass-loader@16.0.5(sass@1.85.0)(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      neo-async: 2.6.2
+    optionalDependencies:
+      sass: 1.85.0
+      webpack: 5.98.0(esbuild@0.25.4)
+
+  sass@1.85.0:
+    dependencies:
+      chokidar: 4.0.3
+      immutable: 5.1.3
+      source-map-js: 1.2.1
+    optionalDependencies:
+      '@parcel/watcher': 2.4.1
+
   sax@1.4.1: {}
 
   saxes@6.0.0:
@@ -29320,20 +34923,33 @@ snapshots:
       ajv: 6.12.6
       ajv-keywords: 3.5.2(ajv@6.12.6)
 
+  schema-utils@4.3.2:
+    dependencies:
+      '@types/json-schema': 7.0.15
+      ajv: 8.17.1
+      ajv-formats: 2.1.1(ajv@8.17.1)
+      ajv-keywords: 5.1.0(ajv@8.17.1)
+
   scule@1.3.0: {}
 
   secure-json-parse@2.7.0: {}
 
   seedrandom@3.0.5: {}
 
+  select-hose@2.0.0: {}
+
+  selfsigned@2.4.1:
+    dependencies:
+      '@types/node-forge': 1.3.13
+      node-forge: 1.3.1
+
   semver@5.7.2: {}
 
   semver@6.3.1: {}
 
   semver@7.6.3: {}
 
-  semver@7.7.1:
-    optional: true
+  semver@7.7.1: {}
 
   send@0.19.0:
     dependencies:
@@ -29355,7 +34971,7 @@ snapshots:
 
   send@1.1.0:
     dependencies:
-      debug: 4.3.6
+      debug: 4.4.1
       destroy: 1.2.0
       encodeurl: 2.0.0
       escape-html: 1.0.3
@@ -29374,6 +34990,18 @@ snapshots:
     dependencies:
       randombytes: 2.1.0
 
+  serve-index@1.9.1:
+    dependencies:
+      accepts: 1.3.8
+      batch: 0.6.1
+      debug: 2.6.9
+      escape-html: 1.0.3
+      http-errors: 1.6.3
+      mime-types: 2.1.35
+      parseurl: 1.3.3
+    transitivePeerDependencies:
+      - supports-color
+
   serve-placeholder@2.0.2:
     dependencies:
       defu: 6.1.4
@@ -29513,6 +35141,17 @@ snapshots:
 
   signal-exit@4.1.0: {}
 
+  sigstore@3.1.0:
+    dependencies:
+      '@sigstore/bundle': 3.1.0
+      '@sigstore/core': 2.0.0
+      '@sigstore/protobuf-specs': 0.4.3
+      '@sigstore/sign': 3.1.0
+      '@sigstore/tuf': 3.1.1
+      '@sigstore/verify': 2.1.1
+    transitivePeerDependencies:
+      - supports-color
+
   simple-git@3.27.0:
     dependencies:
       '@kwsites/file-exists': 1.1.1
@@ -29553,8 +35192,29 @@ snapshots:
       ansi-styles: 6.2.1
       is-fullwidth-code-point: 5.0.0
 
+  smart-buffer@4.2.0: {}
+
   smob@1.4.1: {}
 
+  sockjs@0.3.24:
+    dependencies:
+      faye-websocket: 0.11.4
+      uuid: 8.3.2
+      websocket-driver: 0.7.4
+
+  socks-proxy-agent@8.0.5:
+    dependencies:
+      agent-base: 7.1.3
+      debug: 4.4.1
+      socks: 2.8.6
+    transitivePeerDependencies:
+      - supports-color
+
+  socks@2.8.6:
+    dependencies:
+      ip-address: 9.0.5
+      smart-buffer: 4.2.0
+
   sonic-boom@4.1.0:
     dependencies:
       atomic-sleep: 1.0.0
@@ -29566,6 +35226,12 @@ snapshots:
 
   source-map-js@1.2.1: {}
 
+  source-map-loader@5.0.0(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      iconv-lite: 0.6.3
+      source-map-js: 1.2.1
+      webpack: 5.98.0(esbuild@0.25.4)
+
   source-map-support@0.5.13:
     dependencies:
       buffer-from: 1.1.2
@@ -29591,12 +35257,53 @@ snapshots:
       cross-spawn: 7.0.6
       signal-exit: 4.1.0
 
+  spdx-correct@3.2.0:
+    dependencies:
+      spdx-expression-parse: 3.0.1
+      spdx-license-ids: 3.0.21
+
+  spdx-exceptions@2.5.0: {}
+
+  spdx-expression-parse@3.0.1:
+    dependencies:
+      spdx-exceptions: 2.5.0
+      spdx-license-ids: 3.0.21
+
+  spdx-license-ids@3.0.21: {}
+
+  spdy-transport@3.0.0:
+    dependencies:
+      debug: 4.4.1
+      detect-node: 2.1.0
+      hpack.js: 2.1.6
+      obuf: 1.1.2
+      readable-stream: 3.6.2
+      wbuf: 1.7.3
+    transitivePeerDependencies:
+      - supports-color
+
+  spdy@4.0.2:
+    dependencies:
+      debug: 4.4.1
+      handle-thing: 2.0.1
+      http-deceiver: 1.2.7
+      select-hose: 2.0.0
+      spdy-transport: 3.0.0
+    transitivePeerDependencies:
+      - supports-color
+
   speakingurl@14.0.1: {}
 
   split2@4.2.0: {}
 
   sprintf-js@1.0.3: {}
 
+  sprintf-js@1.1.3: {}
+
+  ssri@12.0.0:
+    dependencies:
+      minipass: 7.1.2
+
   stack-utils@2.0.6:
     dependencies:
       escape-string-regexp: 2.0.0
@@ -30147,6 +35854,17 @@ snapshots:
       terser: 5.31.3
       webpack: 5.96.1
 
+  terser-webpack-plugin@5.3.14(esbuild@0.25.4)(webpack@5.98.0):
+    dependencies:
+      '@jridgewell/trace-mapping': 0.3.29
+      jest-worker: 27.5.1
+      schema-utils: 4.3.2
+      serialize-javascript: 6.0.2
+      terser: 5.39.0
+      webpack: 5.98.0(esbuild@0.25.4)
+    optionalDependencies:
+      esbuild: 0.25.4
+
   terser@5.31.3:
     dependencies:
       '@jridgewell/source-map': 0.3.6
@@ -30154,6 +35872,13 @@ snapshots:
       commander: 2.20.3
       source-map-support: 0.5.21
 
+  terser@5.39.0:
+    dependencies:
+      '@jridgewell/source-map': 0.3.6
+      acorn: 8.14.1
+      commander: 2.20.3
+      source-map-support: 0.5.21
+
   test-exclude@6.0.0:
     dependencies:
       '@istanbuljs/schema': 0.1.3
@@ -30170,6 +35895,10 @@ snapshots:
     dependencies:
       any-promise: 1.3.0
 
+  thingies@1.21.0(tslib@2.8.1):
+    dependencies:
+      tslib: 2.8.1
+
   thread-stream@3.1.0:
     dependencies:
       real-require: 0.2.0
@@ -30178,6 +35907,8 @@ snapshots:
 
   through@2.3.8: {}
 
+  thunky@1.1.0: {}
+
   timm@1.7.1: {}
 
   tiny-emitter@2.1.0: {}
@@ -30197,6 +35928,11 @@ snapshots:
       fdir: 6.4.2(picomatch@4.0.2)
       picomatch: 4.0.2
 
+  tinyglobby@0.2.14:
+    dependencies:
+      fdir: 6.4.6(picomatch@4.0.2)
+      picomatch: 4.0.2
+
   tinypool@1.0.1: {}
 
   tinypool@1.0.2: {}
@@ -30262,6 +35998,10 @@ snapshots:
     dependencies:
       punycode: 2.3.1
 
+  tree-dump@1.0.3(tslib@2.8.1):
+    dependencies:
+      tslib: 2.8.1
+
   tree-kill@1.2.2: {}
 
   trim-lines@3.0.1: {}
@@ -30290,7 +36030,7 @@ snapshots:
 
   ts-interface-checker@0.1.13: {}
 
-  ts-jest@29.2.5(@babel/core@7.26.0)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.26.0))(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)))(typescript@5.5.4):
+  ts-jest@29.2.5(@babel/core@7.26.10)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.26.10))(jest@29.7.0(@types/node@20.17.24)(ts-node@10.9.2(@types/node@20.17.24)(typescript@5.5.4)))(typescript@5.5.4):
     dependencies:
       bs-logger: 0.2.6
       ejs: 3.1.10
@@ -30304,10 +36044,10 @@ snapshots:
       typescript: 5.5.4
       yargs-parser: 21.1.1
     optionalDependencies:
-      '@babel/core': 7.26.0
+      '@babel/core': 7.26.10
       '@jest/transform': 29.7.0
       '@jest/types': 29.6.3
-      babel-jest: 29.7.0(@babel/core@7.26.0)
+      babel-jest: 29.7.0(@babel/core@7.26.10)
 
   ts-loader@9.5.1(typescript@5.5.4)(webpack@5.96.1):
     dependencies:
@@ -30433,8 +36173,6 @@ snapshots:
       minimist: 1.2.8
       strip-bom: 3.0.0
 
-  tslib@2.6.3: {}
-
   tslib@2.7.0: {}
 
   tslib@2.8.1: {}
@@ -30575,6 +36313,14 @@ snapshots:
     optionalDependencies:
       fsevents: 2.3.3
 
+  tuf-js@3.1.0:
+    dependencies:
+      '@tufjs/models': 3.0.1
+      debug: 4.4.1
+      make-fetch-happen: 14.0.3
+    transitivePeerDependencies:
+      - supports-color
+
   turbo-darwin-64@2.4.4:
     optional: true
 
@@ -30661,6 +36407,8 @@ snapshots:
       is-typed-array: 1.1.13
       possible-typed-array-names: 1.0.0
 
+  typed-assert@1.0.9: {}
+
   typed-function@4.2.1: {}
 
   typedarray@0.0.6: {}
@@ -30730,6 +36478,17 @@ snapshots:
       '@unhead/shared': 1.11.11
       hookable: 5.5.3
 
+  unicode-canonical-property-names-ecmascript@2.0.1: {}
+
+  unicode-match-property-ecmascript@2.0.0:
+    dependencies:
+      unicode-canonical-property-names-ecmascript: 2.0.1
+      unicode-property-aliases-ecmascript: 2.1.0
+
+  unicode-match-property-value-ecmascript@2.2.0: {}
+
+  unicode-property-aliases-ecmascript@2.1.0: {}
+
   unicorn-magic@0.1.0: {}
 
   unified@11.0.5:
@@ -30780,6 +36539,14 @@ snapshots:
     transitivePeerDependencies:
       - rollup
 
+  unique-filename@4.0.0:
+    dependencies:
+      unique-slug: 5.0.0
+
+  unique-slug@5.0.0:
+    dependencies:
+      imurmurhash: 0.1.4
+
   unist-util-is@6.0.0:
     dependencies:
       '@types/unist': 3.0.3
@@ -30906,19 +36673,19 @@ snapshots:
   update-browserslist-db@1.0.16(browserslist@4.22.1):
     dependencies:
       browserslist: 4.22.1
-      escalade: 3.1.2
+      escalade: 3.2.0
       picocolors: 1.1.1
 
   update-browserslist-db@1.0.16(browserslist@4.23.1):
     dependencies:
       browserslist: 4.23.1
-      escalade: 3.1.2
+      escalade: 3.2.0
       picocolors: 1.1.1
 
   update-browserslist-db@1.1.0(browserslist@4.23.3):
     dependencies:
       browserslist: 4.23.3
-      escalade: 3.1.2
+      escalade: 3.2.0
       picocolors: 1.1.1
 
   update-browserslist-db@1.1.1(browserslist@4.24.0):
@@ -30927,6 +36694,12 @@ snapshots:
       escalade: 3.2.0
       picocolors: 1.1.1
 
+  update-browserslist-db@1.1.3(browserslist@4.25.1):
+    dependencies:
+      browserslist: 4.25.1
+      escalade: 3.2.0
+      picocolors: 1.1.1
+
   update-ts-references@3.6.0:
     dependencies:
       '@formatjs/cli': 2.15.0
@@ -30966,13 +36739,15 @@ snapshots:
 
   utils-merge@1.0.1: {}
 
+  uuid@8.3.2: {}
+
   uuid@9.0.1: {}
 
   v8-compile-cache-lib@3.0.1: {}
 
   v8-to-istanbul@9.3.0:
     dependencies:
-      '@jridgewell/trace-mapping': 0.3.25
+      '@jridgewell/trace-mapping': 0.3.29
       '@types/istanbul-lib-coverage': 2.0.6
       convert-source-map: 2.0.0
 
@@ -30984,6 +36759,13 @@ snapshots:
     optionalDependencies:
       typescript: 5.8.3
 
+  validate-npm-package-license@3.0.4:
+    dependencies:
+      spdx-correct: 3.2.0
+      spdx-expression-parse: 3.0.1
+
+  validate-npm-package-name@6.0.1: {}
+
   vary@1.1.2: {}
 
   vfile-message@4.0.2:
@@ -30996,16 +36778,16 @@ snapshots:
       '@types/unist': 3.0.3
       vfile-message: 4.0.2
 
-  vite-hot-client@0.2.3(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3)):
+  vite-hot-client@0.2.3(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)):
     dependencies:
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
 
-  vite-node@2.1.4(@types/node@20.17.24)(terser@5.31.3):
+  vite-node@2.1.4(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0):
     dependencies:
       cac: 6.7.14
       debug: 4.4.0(supports-color@9.4.0)
       pathe: 1.1.2
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
     transitivePeerDependencies:
       - '@types/node'
       - less
@@ -31017,12 +36799,12 @@ snapshots:
       - supports-color
       - terser
 
-  vite-node@2.1.4(@types/node@22.7.4)(terser@5.31.3):
+  vite-node@2.1.4(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0):
     dependencies:
       cac: 6.7.14
       debug: 4.4.0(supports-color@9.4.0)
       pathe: 1.1.2
-      vite: 5.4.11(@types/node@22.7.4)(terser@5.31.3)
+      vite: 5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
     transitivePeerDependencies:
       - '@types/node'
       - less
@@ -31034,13 +36816,13 @@ snapshots:
       - supports-color
       - terser
 
-  vite-node@3.0.7(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0):
+  vite-node@3.0.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
     dependencies:
       cac: 6.7.14
       debug: 4.4.0(supports-color@9.4.0)
       es-module-lexer: 1.6.0
       pathe: 2.0.3
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
     transitivePeerDependencies:
       - '@types/node'
       - jiti
@@ -31055,7 +36837,7 @@ snapshots:
       - tsx
       - yaml
 
-  vite-plugin-checker@0.8.0(eslint@9.21.0(jiti@2.4.0))(optionator@0.9.4)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3)):
+  vite-plugin-checker@0.8.0(eslint@9.21.0(jiti@2.4.0))(optionator@0.9.4)(typescript@5.8.3)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)):
     dependencies:
       '@babel/code-frame': 7.26.2
       ansi-escapes: 4.3.2
@@ -31067,7 +36849,7 @@ snapshots:
       npm-run-path: 4.0.1
       strip-ansi: 6.0.1
       tiny-invariant: 1.3.3
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       vscode-languageclient: 7.0.0
       vscode-languageserver: 7.0.0
       vscode-languageserver-textdocument: 1.0.11
@@ -31077,7 +36859,7 @@ snapshots:
       optionator: 0.9.4
       typescript: 5.8.3
 
-  vite-plugin-inspect@0.8.9(@nuxt/kit@3.14.1592(magicast@0.3.5)(rollup@4.34.9))(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3)):
+  vite-plugin-inspect@0.8.9(@nuxt/kit@3.14.1592(magicast@0.3.5)(rollup@4.34.9))(rollup@4.34.9)(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)):
     dependencies:
       '@antfu/utils': 0.7.10
       '@rollup/pluginutils': 5.1.3(rollup@4.34.9)
@@ -31088,14 +36870,14 @@ snapshots:
       perfect-debounce: 1.0.0
       picocolors: 1.1.1
       sirv: 3.0.0
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
     optionalDependencies:
       '@nuxt/kit': 3.14.1592(magicast@0.3.5)(rollup@4.34.9)
     transitivePeerDependencies:
       - rollup
       - supports-color
 
-  vite-plugin-vue-inspector@5.1.3(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3)):
+  vite-plugin-vue-inspector@5.1.3(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)):
     dependencies:
       '@babel/core': 7.26.0
       '@babel/plugin-proposal-decorators': 7.23.3(@babel/core@7.26.0)
@@ -31106,11 +36888,11 @@ snapshots:
       '@vue/compiler-dom': 3.5.13
       kolorist: 1.8.0
       magic-string: 0.30.17
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
     transitivePeerDependencies:
       - supports-color
 
-  vite@5.4.11(@types/node@20.17.24)(terser@5.31.3):
+  vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0):
     dependencies:
       esbuild: 0.21.5
       postcss: 8.5.3
@@ -31118,9 +36900,11 @@ snapshots:
     optionalDependencies:
       '@types/node': 20.17.24
       fsevents: 2.3.3
-      terser: 5.31.3
+      less: 4.2.2
+      sass: 1.85.0
+      terser: 5.39.0
 
-  vite@5.4.11(@types/node@22.7.4)(terser@5.31.3):
+  vite@5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0):
     dependencies:
       esbuild: 0.21.5
       postcss: 8.5.3
@@ -31128,9 +36912,11 @@ snapshots:
     optionalDependencies:
       '@types/node': 22.7.4
       fsevents: 2.3.3
-      terser: 5.31.3
+      less: 4.2.2
+      sass: 1.85.0
+      terser: 5.39.0
 
-  vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0):
+  vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
     dependencies:
       esbuild: 0.24.2
       postcss: 8.5.3
@@ -31139,11 +36925,13 @@ snapshots:
       '@types/node': 20.17.24
       fsevents: 2.3.3
       jiti: 2.4.0
-      terser: 5.31.3
+      less: 4.2.2
+      sass: 1.85.0
+      terser: 5.39.0
       tsx: 4.19.2
       yaml: 2.7.0
 
-  vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0):
+  vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
     dependencies:
       esbuild: 0.24.2
       postcss: 8.5.3
@@ -31152,22 +36940,39 @@ snapshots:
       '@types/node': 22.7.4
       fsevents: 2.3.3
       jiti: 2.4.0
-      terser: 5.31.3
+      less: 4.2.2
+      sass: 1.85.0
+      terser: 5.39.0
       tsx: 4.19.2
       yaml: 2.7.0
 
-  vitefu@1.0.6(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)):
+  vite@6.2.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
+    dependencies:
+      esbuild: 0.25.4
+      postcss: 8.5.3
+      rollup: 4.34.9
+    optionalDependencies:
+      '@types/node': 20.17.24
+      fsevents: 2.3.3
+      jiti: 2.4.0
+      less: 4.2.2
+      sass: 1.85.0
+      terser: 5.39.0
+      tsx: 4.19.2
+      yaml: 2.7.0
+
+  vitefu@1.0.6(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)):
     optionalDependencies:
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
-  vitefu@1.0.6(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)):
+  vitefu@1.0.6(vite@6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)):
     optionalDependencies:
-      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@22.7.4)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
 
-  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@24.0.0)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(terser@5.31.3):
+  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@24.0.0)(less@4.2.2)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0):
     dependencies:
       '@vitest/expect': 2.1.4
-      '@vitest/mocker': 2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      '@vitest/mocker': 2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       '@vitest/pretty-format': 2.1.4
       '@vitest/runner': 2.1.4
       '@vitest/snapshot': 2.1.4
@@ -31183,8 +36988,8 @@ snapshots:
       tinyexec: 0.3.1
       tinypool: 1.0.1
       tinyrainbow: 1.2.0
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
-      vite-node: 2.1.4(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-node: 2.1.4(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       why-is-node-running: 2.3.0
     optionalDependencies:
       '@edge-runtime/vm': 5.0.0
@@ -31201,10 +37006,10 @@ snapshots:
       - supports-color
       - terser
 
-  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@26.0.0)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(terser@5.31.3):
+  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@20.17.24)(jsdom@26.0.0)(less@4.2.2)(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0):
     dependencies:
       '@vitest/expect': 2.1.4
-      '@vitest/mocker': 2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(terser@5.31.3))
+      '@vitest/mocker': 2.1.4(msw@2.6.4(@types/node@20.17.24)(typescript@5.8.3))(vite@5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       '@vitest/pretty-format': 2.1.4
       '@vitest/runner': 2.1.4
       '@vitest/snapshot': 2.1.4
@@ -31220,8 +37025,8 @@ snapshots:
       tinyexec: 0.3.1
       tinypool: 1.0.1
       tinyrainbow: 1.2.0
-      vite: 5.4.11(@types/node@20.17.24)(terser@5.31.3)
-      vite-node: 2.1.4(@types/node@20.17.24)(terser@5.31.3)
+      vite: 5.4.11(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-node: 2.1.4(@types/node@20.17.24)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       why-is-node-running: 2.3.0
     optionalDependencies:
       '@edge-runtime/vm': 5.0.0
@@ -31238,10 +37043,10 @@ snapshots:
       - supports-color
       - terser
 
-  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@22.7.4)(jsdom@26.0.0)(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(terser@5.31.3):
+  vitest@2.1.4(@edge-runtime/vm@5.0.0)(@types/node@22.7.4)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0):
     dependencies:
       '@vitest/expect': 2.1.4
-      '@vitest/mocker': 2.1.4(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(vite@5.4.11(@types/node@22.7.4)(terser@5.31.3))
+      '@vitest/mocker': 2.1.4(msw@2.7.0(@types/node@22.7.4)(typescript@5.8.3))(vite@5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0))
       '@vitest/pretty-format': 2.1.4
       '@vitest/runner': 2.1.4
       '@vitest/snapshot': 2.1.4
@@ -31257,8 +37062,8 @@ snapshots:
       tinyexec: 0.3.1
       tinypool: 1.0.1
       tinyrainbow: 1.2.0
-      vite: 5.4.11(@types/node@22.7.4)(terser@5.31.3)
-      vite-node: 2.1.4(@types/node@22.7.4)(terser@5.31.3)
+      vite: 5.4.11(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
+      vite-node: 2.1.4(@types/node@22.7.4)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)
       why-is-node-running: 2.3.0
     optionalDependencies:
       '@edge-runtime/vm': 5.0.0
@@ -31275,10 +37080,10 @@ snapshots:
       - supports-color
       - terser
 
-  vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0):
+  vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@24.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.8.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
     dependencies:
       '@vitest/expect': 3.0.7
-      '@vitest/mocker': 3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0))
+      '@vitest/mocker': 3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.8.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
       '@vitest/pretty-format': 3.0.7
       '@vitest/runner': 3.0.7
       '@vitest/snapshot': 3.0.7
@@ -31294,8 +37099,49 @@ snapshots:
       tinyexec: 0.3.2
       tinypool: 1.0.2
       tinyrainbow: 2.0.0
-      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
-      vite-node: 3.0.7(@types/node@20.17.24)(jiti@2.4.0)(terser@5.31.3)(tsx@4.19.2)(yaml@2.7.0)
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      vite-node: 3.0.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      why-is-node-running: 2.3.0
+    optionalDependencies:
+      '@edge-runtime/vm': 5.0.0
+      '@types/debug': 4.1.12
+      '@types/node': 20.17.24
+      jsdom: 24.0.0
+    transitivePeerDependencies:
+      - jiti
+      - less
+      - lightningcss
+      - msw
+      - sass
+      - sass-embedded
+      - stylus
+      - sugarss
+      - supports-color
+      - terser
+      - tsx
+      - yaml
+
+  vitest@3.0.7(@edge-runtime/vm@5.0.0)(@types/debug@4.1.12)(@types/node@20.17.24)(jiti@2.4.0)(jsdom@26.0.0)(less@4.2.2)(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0):
+    dependencies:
+      '@vitest/expect': 3.0.7
+      '@vitest/mocker': 3.0.7(msw@2.7.0(@types/node@20.17.24)(typescript@5.6.3))(vite@6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0))
+      '@vitest/pretty-format': 3.0.7
+      '@vitest/runner': 3.0.7
+      '@vitest/snapshot': 3.0.7
+      '@vitest/spy': 3.0.7
+      '@vitest/utils': 3.0.7
+      chai: 5.2.0
+      debug: 4.4.0(supports-color@9.4.0)
+      expect-type: 1.1.0
+      magic-string: 0.30.17
+      pathe: 2.0.3
+      std-env: 3.8.0
+      tinybench: 2.9.0
+      tinyexec: 0.3.2
+      tinypool: 1.0.2
+      tinyrainbow: 2.0.0
+      vite: 6.0.3(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
+      vite-node: 3.0.7(@types/node@20.17.24)(jiti@2.4.0)(less@4.2.2)(sass@1.85.0)(terser@5.39.0)(tsx@4.19.2)(yaml@2.7.0)
       why-is-node-running: 2.3.0
     optionalDependencies:
       '@edge-runtime/vm': 5.0.0
@@ -31321,7 +37167,7 @@ snapshots:
   vscode-languageclient@7.0.0:
     dependencies:
       minimatch: 3.1.2
-      semver: 7.6.3
+      semver: 7.7.1
       vscode-languageserver-protocol: 3.16.0
 
   vscode-languageserver-protocol@3.16.0:
@@ -31385,10 +37231,17 @@ snapshots:
       glob-to-regexp: 0.4.1
       graceful-fs: 4.2.11
 
+  wbuf@1.7.3:
+    dependencies:
+      minimalistic-assert: 1.0.1
+
   wcwidth@1.0.1:
     dependencies:
       defaults: 1.0.4
 
+  weak-lru-cache@1.2.2:
+    optional: true
+
   web-streams-polyfill@3.3.3: {}
 
   web-streams-polyfill@4.0.0-beta.3: {}
@@ -31399,10 +37252,70 @@ snapshots:
 
   webidl-conversions@7.0.0: {}
 
+  webpack-dev-middleware@7.4.2(webpack@5.98.0):
+    dependencies:
+      colorette: 2.0.20
+      memfs: 4.17.2
+      mime-types: 2.1.35
+      on-finished: 2.4.1
+      range-parser: 1.2.1
+      schema-utils: 4.3.2
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+
+  webpack-dev-server@5.2.2(webpack@5.98.0):
+    dependencies:
+      '@types/bonjour': 3.5.13
+      '@types/connect-history-api-fallback': 1.5.4
+      '@types/express': 4.17.23
+      '@types/express-serve-static-core': 4.19.6
+      '@types/serve-index': 1.9.4
+      '@types/serve-static': 1.15.7
+      '@types/sockjs': 0.3.36
+      '@types/ws': 8.18.1
+      ansi-html-community: 0.0.8
+      bonjour-service: 1.3.0
+      chokidar: 3.6.0
+      colorette: 2.0.20
+      compression: 1.8.0
+      connect-history-api-fallback: 2.0.0
+      express: 4.21.2
+      graceful-fs: 4.2.11
+      http-proxy-middleware: 2.0.9(@types/express@4.17.23)
+      ipaddr.js: 2.2.0
+      launch-editor: 2.9.1
+      open: 10.1.0
+      p-retry: 6.2.1
+      schema-utils: 4.3.2
+      selfsigned: 2.4.1
+      serve-index: 1.9.1
+      sockjs: 0.3.24
+      spdy: 4.0.2
+      webpack-dev-middleware: 7.4.2(webpack@5.98.0)
+      ws: 8.18.0
+    optionalDependencies:
+      webpack: 5.98.0(esbuild@0.25.4)
+    transitivePeerDependencies:
+      - bufferutil
+      - debug
+      - supports-color
+      - utf-8-validate
+
+  webpack-merge@6.0.1:
+    dependencies:
+      clone-deep: 4.0.1
+      flat: 5.0.2
+      wildcard: 2.0.1
+
   webpack-node-externals@3.0.0: {}
 
   webpack-sources@3.2.3: {}
 
+  webpack-subresource-integrity@5.1.0(webpack@5.98.0(esbuild@0.25.4)):
+    dependencies:
+      typed-assert: 1.0.9
+      webpack: 5.98.0(esbuild@0.25.4)
+
   webpack-virtual-modules@0.5.0: {}
 
   webpack-virtual-modules@0.6.2: {}
@@ -31437,6 +37350,44 @@ snapshots:
       - esbuild
       - uglify-js
 
+  webpack@5.98.0(esbuild@0.25.4):
+    dependencies:
+      '@types/eslint-scope': 3.7.7
+      '@types/estree': 1.0.6
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/wasm-edit': 1.14.1
+      '@webassemblyjs/wasm-parser': 1.14.1
+      acorn: 8.14.1
+      browserslist: 4.25.1
+      chrome-trace-event: 1.0.4
+      enhanced-resolve: 5.17.1
+      es-module-lexer: 1.6.0
+      eslint-scope: 5.1.1
+      events: 3.3.0
+      glob-to-regexp: 0.4.1
+      graceful-fs: 4.2.11
+      json-parse-even-better-errors: 2.3.1
+      loader-runner: 4.3.0
+      mime-types: 2.1.35
+      neo-async: 2.6.2
+      schema-utils: 4.3.2
+      tapable: 2.2.1
+      terser-webpack-plugin: 5.3.14(esbuild@0.25.4)(webpack@5.98.0)
+      watchpack: 2.4.2
+      webpack-sources: 3.2.3
+    transitivePeerDependencies:
+      - '@swc/core'
+      - esbuild
+      - uglify-js
+
+  websocket-driver@0.7.4:
+    dependencies:
+      http-parser-js: 0.5.10
+      safe-buffer: 5.2.1
+      websocket-extensions: 0.1.4
+
+  websocket-extensions@0.1.4: {}
+
   whatwg-encoding@3.1.1:
     dependencies:
       iconv-lite: 0.6.3
@@ -31510,6 +37461,10 @@ snapshots:
     dependencies:
       isexe: 2.0.0
 
+  which@5.0.0:
+    dependencies:
+      isexe: 3.1.1
+
   why-is-node-running@2.3.0:
     dependencies:
       siginfo: 2.0.0
@@ -31519,6 +37474,8 @@ snapshots:
     dependencies:
       string-width: 4.2.3
 
+  wildcard@2.0.1: {}
+
   word-wrap@1.2.5: {}
 
   wrap-ansi@6.2.0:
@@ -31621,6 +37578,8 @@ snapshots:
 
   yocto-queue@0.1.0: {}
 
+  yocto-queue@1.2.1: {}
+
   yoctocolors-cjs@2.1.2: {}
 
   zhead@2.2.4: {}
@@ -31633,14 +37592,16 @@ snapshots:
       compress-commons: 6.0.2
       readable-stream: 4.5.2
 
-  zod-to-json-schema@3.23.5(zod@3.25.49):
+  zod-to-json-schema@3.23.5(zod@3.25.76):
     dependencies:
-      zod: 3.25.49
+      zod: 3.25.76
 
-  zod-to-json-schema@3.24.1(zod@3.25.49):
+  zod-to-json-schema@3.24.1(zod@3.25.76):
     dependencies:
-      zod: 3.25.49
+      zod: 3.25.76
+
+  zod@3.25.76: {}
 
-  zod@3.25.49: {}
+  zone.js@0.15.1: {}
 
   zwitch@2.0.4: {}
diff --git a/tsconfig.json b/tsconfig.json
index 9834b1f764a6..806af97491e2 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -2,6 +2,7 @@
   "references": [
     { "path": "packages/ai" },
     { "path": "packages/amazon-bedrock" },
+    { "path": "packages/angular" },
     { "path": "packages/anthropic" },
     { "path": "packages/assemblyai" },
     { "path": "packages/azure" },
diff --git a/tsconfig.with-examples.json b/tsconfig.with-examples.json
index 705ff936f91d..8babe53fdf51 100644
--- a/tsconfig.with-examples.json
+++ b/tsconfig.with-examples.json
@@ -9,6 +9,9 @@
     {
       "path": "examples/ai-core"
     },
+    {
+      "path": "examples/angular"
+    },
     {
       "path": "examples/express"
     },
diff --git a/turbo.json b/turbo.json
index df4a11a1aeb6..a16a6514f8e6 100644
--- a/turbo.json
+++ b/turbo.json
@@ -16,7 +16,6 @@
         "COHERE_API_KEY",
         "DEEPINFRA_API_KEY",
         "DEEPSEEK_API_KEY",
-        "DEPLOYMENT_ID",
         "ELEVENLABS_API_KEY",
         "FAL_KEY",
         "FAL_API_KEY",
@@ -30,6 +29,9 @@
         "GOOGLE_VERTEX_LOCATION",
         "GOOGLE_VERTEX_PROJECT",
         "GROQ_API_KEY",
+        "AI_DEFAULT_MODEL",
+        "AI_SYSTEM",
+        "AI_VERBOSE",
         "LUMA_API_KEY",
         "MISTRAL_API_KEY",
         "NEXT_RUNTIME",
@@ -44,6 +46,7 @@
         "SENTRY_PROJECT",
         "TOGETHER_AI_API_KEY",
         "VERCEL_API_KEY",
+        "VERCEL_DEPLOYMENT_ID",
         "VERCEL_ENV",
         "VERCEL_OIDC_TOKEN",
         "VERCEL_REGION",