feat: add service_tier parameter to Responses API LLM#5346
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tinalenguyen merged 3 commits intolivekit:mainfrom Apr 12, 2026
Merged
feat: add service_tier parameter to Responses API LLM#5346tinalenguyen merged 3 commits intolivekit:mainfrom
tinalenguyen merged 3 commits intolivekit:mainfrom
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The Chat Completions LLM (openai.LLM) already supports the service_tier parameter for configuring priority/flex/default processing. This adds the same parameter to the Responses API LLM (openai.responses.LLM) for parity. OpenAI's Responses API accepts service_tier in the request body: https://platform.openai.com/docs/api-reference/responses/create Changes (responses/llm.py only): - Add service_tier to _LLMOptions dataclass - Add service_tier parameter to LLM.__init__() - Pass service_tier through in chat() via extra kwargs
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Raised the same PR for for agents-js and it got merged. Sharing that for reference. |
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hi @piyush-gambhir, thank you for the PR! lgtm, could you remove the changeset file? |
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Sure @tinalenguyen. |
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@tinalenguyen. Removed the changeset file. |
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thanks for iterating, i just left another comment 🙏
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@tinalenguyen Made the changes as requested. |
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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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* upstream/main: (31 commits) chore: reduce renovate noise (livekit#5421) Rename e2ee to encryption in JobContext.connect (livekit#5454) feat: add Runway Characters avatar plugin (livekit#5355) Fix FrameProcessor lifecycle for selector based noise cancellation (livekit#5433) Feature - Configurable session close transcript timeout (livekit#5328) add ToolSearchToolset and ToolProxyToolset for dynamic tool discovery (livekit#5140) feat(beta/workflows): add InstructionParts for modular instruction customization (livekit#5077) fix: allow multiple AsyncToolsets by deduplicating management tools (livekit#5369) fix: empty transcript blocks commit_user_turn until timeout (livekit#5429) Feature/krisp viva sdk support (livekit#4370) feat: add service_tier parameter to Responses API LLM (livekit#5346) fix(inworld): do not leak connections when when cancelled (livekit#5427) update: Sarvam STT - add verbose error loggin and remove retry connection (livekit#5373) chore(deps): update github workflows (major) (livekit#5424) (azure openai): ensure gpt-realtime-1.5 compatibility (livekit#5407) chore(deps): update dependency nltk to v3.9.4 [security] (livekit#5418) chore(deps): update dependency aiohttp to v3.13.4 [security] (livekit#5416) chore(deps): update dependency langchain-core to v1.2.28 [security] (livekit#5417) chore: pin GHA by commit (livekit#5415) fix(aws): unwrap doubly-encoded JSON tool arguments from Nova Sonic (livekit#5411) ...
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Summary
The Chat Completions LLM (
openai.LLM) already supports theservice_tierparameter for configuring priority/flex/default processing per-request. The Responses API LLM (openai.responses.LLM) is missing this parameter despite the OpenAI Responses API supporting it.This PR adds
service_tierto the Responses LLM for parity.Changes
livekit-plugins/livekit-plugins-openai/.../responses/llm.py(1 file):service_tier: NotGivenOr[str]to_LLMOptionsservice_tierparameter toLLM.__init__()service_tierthrough inchat()via extra kwargsUsage
```python
from livekit.plugins.openai import responses
llm = responses.LLM(
model="gpt-5.4",
service_tier="priority", # now supported
)
```
Backward Compatible