feat (ui/react): support resuming an ongoing stream

.changeset/nine-pillows-hug.md

@@ -0,0 +1,6 @@
+---
+'@ai-sdk/ui-utils': patch
+'@ai-sdk/react': patch
+---
+
+feat (ui/react): support resuming an ongoing stream

content/docs/04-ai-sdk-ui/03-chatbot-message-persistence.mdx

@@ -325,3 +325,165 @@ When the client reloads the page after a disconnect, the chat will be restored f
   the case where the client reloads the page after a disconnection, but the
   streaming is not yet complete.
 </Note>
+
+## Resuming ongoing streams
+
+<Note>This feature is experimental and may change in future versions.</Note>
+
+The `useChat` hook has experimental support for resuming an ongoing chat generation stream by any client, either after a network disconnect or by reloading the chat page. This can be useful for building applications that involve long-running conversations or for ensuring that messages are not lost in case of network failures.
+
+The following are the pre-requisities for your chat application to support resumable streams:
+
+- Installing the [`resumable-stream`](https://www.npmjs.com/package/resumable-stream) package that helps create and manage the publisher/subscriber mechanism of the streams.
+- 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.
+
+```tsx filename="app/components/chat.tsx"
+'use client'
+
+import { useChat } from "@ai-sdk/react";
+import { Input } from "@/components/input";
+import { Messages } from "@/components/messages";
+
+export function Chat() {
+  const { experimental_resume } = useChat({id});
+
+  useEffect(() => {
+    experimental_resume();
+
+    // we use an empty dependency array to
+    // ensure this effect runs only once
+  }, [])
+
+  return (
+    <div>
+      <Messages>
+      <Input/>
+    </div>
+  )
+}
+```
+
+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 `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.
+
+```bash
+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.
+
+### 1. Implement the GET handler
+
+Add a `GET` method to `/api/chat` that:
+
+1. Reads `chatId` from the query string
+2. Validates it’s present
+3. Loads any stored stream IDs for that chat
+4. Returns the latest one to `streamContext.resumableStream()`
+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 { createDataStream } from 'ai';
+import { after } from 'next/server';
+import { createResumableStreamContext } from 'resumable-stream';
+
+const streamContext = createResumableStreamContext({
+  waitUntil: after,
+});
+
+export async function GET() {
+  const { searchParams } = new URL(request.url);
+  const chatId = searchParams.get('chatId');
+
+  if (!chatId) {
+    return new Response('id is required', { status: 400 });
+  }
+
+  const streamIds = await loadStreams(chatId);
+
+  if (!streamIds.length) {
+    return new Response('No streams found', { status: 404 });
+  }
+
+  const recentStreamId = streamIds.at(-1);
+
+  if (!recentStreamId) {
+    return new Response('No recent stream found', { status: 404 });
+  }
+
+  const emptyDataStream = createDataStream({
+    execute: () => {},
+  });
+
+  return new Response(
+    await streamContext.resumableStream(recentStreamId, () => emptyDataStream),
+  );
+}
+```
+
+After you've implemented the `GET` handler, you can update the `POST` handler to handle the creation of resumable streams.
+
+### 2. Update the POST handler
+
+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
+4. Hand that new stream to `streamContext.resumableStream()`
+
+```ts filename="app/api/chat/route.ts"
+import {
+  appendResponseMessages,
+  createDataStream,
+  generateId,
+  streamText,
+} from 'ai';
+import { appendStreamId, saveChat } from '@/util/chat-store';
+import { createResumableStreamContext } from 'resumable-stream';
+
+const streamContext = createResumableStreamContext({
+  waitUntil: after,
+});
+
+async function POST(request: Request) {
+  const { id, messages } = await req.json();
+  const streamId = generateId();
+
+  // Record this new stream so we can resume later
+  await appendStreamId({ chatId: id, streamId });
+
+  // Build the data stream that will emit tokens
+  const stream = createDataStream({
+    execute: dataStream => {
+      const result = streamText({
+        model: openai('gpt-4o'),
+        messages,
+        onFinish: async ({ response }) => {
+          await saveChat({
+            id,
+            messages: appendResponseMessages({
+              messages,
+              responseMessages: response.messages,
+            }),
+          });
+        },
+      });
+
+      // Return a resumable stream to the client
+      result.mergeIntoDataStream(dataStream);
+    },
+  });
+
+  return new Response(
+    await streamContext.resumableStream(streamId, () => stream),
+  );
+}
+```
+
+With both handlers, your clients can now gracefully resume ongoing streams.

content/docs/07-reference/02-ai-sdk-ui/01-use-chat.mdx

@@ -600,6 +600,11 @@ Allows you to easily create a conversational user interface for your chatbot app
       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',

examples/next-openai/.env.local.example

@@ -13,3 +13,5 @@ BLOB_READ_WRITE_TOKEN=xxxxxxx
 # Required for reasoning example
 DEEPSEEK_API_KEY=xxxxxxx
 
+# Required for resumable streams. You can create a Redis store here: https://vercel.com/marketplace/redis
+REDIS_URL=xxxxxx

examples/next-openai/.gitignore

@@ -34,5 +34,6 @@ yarn-error.log*
 *.tsbuildinfo
 next-env.d.ts
 
-# chat persistence
+# persistence
 .chats
+.streams

examples/next-openai/app/api/use-chat-resume/route.ts

@@ -0,0 +1,99 @@
+import {
+  appendMessageToChat,
+  appendStreamId,
+  loadStreams,
+  saveChat,
+} from '@/util/chat-store';
+import { openai } from '@ai-sdk/openai';
+import {
+  appendResponseMessages,
+  createDataStream,
+  generateId,
+  Message,
+  streamText,
+} from 'ai';
+import { after } from 'next/server';
+import { createResumableStreamContext } from 'resumable-stream';
+
+// Allow streaming responses up to 30 seconds
+export const maxDuration = 30;
+
+export async function POST(req: Request) {
+  const streamContext = createResumableStreamContext({
+    waitUntil: after,
+  });
+
+  const { id, messages }: { id: string; messages: Message[] } =
+    await req.json();
+
+  const streamId = generateId();
+
+  const recentUserMessage = messages
+    .filter(message => message.role === 'user')
+    .at(-1);
+
+  if (!recentUserMessage) {
+    throw new Error('No recent user message found');
+  }
+
+  await appendMessageToChat({ chatId: id, message: recentUserMessage });
+
+  await appendStreamId({ chatId: id, streamId });
+
+  const stream = createDataStream({
+    execute: dataStream => {
+      const result = streamText({
+        model: openai('gpt-4o'),
+        messages,
+        onFinish: async ({ response }) => {
+          await saveChat({
+            id,
+            messages: appendResponseMessages({
+              messages,
+              responseMessages: response.messages,
+            }),
+          });
+        },
+      });
+
+      result.mergeIntoDataStream(dataStream);
+    },
+  });
+
+  return new Response(
+    await streamContext.resumableStream(streamId, () => stream),
+  );
+}
+
+export async function GET(request: Request) {
+  const streamContext = createResumableStreamContext({
+    waitUntil: after,
+  });
+
+  const { searchParams } = new URL(request.url);
+  const chatId = searchParams.get('chatId');
+
+  if (!chatId) {
+    return new Response('id is required', { status: 400 });
+  }
+
+  const streamIds = await loadStreams(chatId);
+
+  if (!streamIds.length) {
+    return new Response('No streams found', { status: 404 });
+  }
+
+  const recentStreamId = streamIds.at(-1);
+
+  if (!recentStreamId) {
+    return new Response('No recent stream found', { status: 404 });
+  }
+
+  const emptyDataStream = createDataStream({
+    execute: () => {},
+  });
+
+  return new Response(
+    await streamContext.resumableStream(recentStreamId, () => emptyDataStream),
+  );
+}

examples/next-openai/app/use-chat-resume/[id]/page.tsx

@@ -0,0 +1,14 @@
+import { loadChat } from '@/util/chat-store';
+import { Chat } from '../chat';
+
+export default async function Page({
+  params,
+}: {
+  params: Promise<{ id: string }>;
+}) {
+  const { id } = await params;
+
+  const messages = await loadChat(id);
+
+  return <Chat chatId={id} autoResume={true} initialMessages={messages} />;
+}