Livekit inference model GPT-5 mini mentioned in openai section does not work
I just tested with:
- Agent starter: GitHub - livekit-examples/agent-starter-python: A complete voice AI starter for LiveKit Agents with Python. · GitHub
- Replace LLM with:
llm=inference.LLM(model="openai/gpt-5-mini"),
Run with uv run src/agent.py console and it seems to work. Am I missing something in my reproduction?
It does not work when extra_kwargs is passed without reasoning_effort
// not works
return inference.LLM(
model=f"openai/gpt-5-mini",
extra_kwargs={
"max_completion_tokens": 250
},
)
// works
return inference.LLM(
model=f"openai/gpt-5-mini",
extra_kwargs={
"max_completion_tokens": 250,
"reasoning_effort": "none"
},
)
It works, I just tested
+1 on Mahimai, but I did double-check the agent starter again with extra_kwargs but without reasoning_effort, and it still works for me.
Can I please ask you to test with agent-starter-python/src/agent.py at main · livekit-examples/agent-starter-python · GitHub but replacing the llm portion as follows:
# See all available models at https://docs.livekit.io/agents/models/llm/
# llm=inference.LLM(model="openai/gpt-5.2-chat-latest"),
llm=inference.LLM(model="openai/gpt-5-mini",
extra_kwargs={
"max_completion_tokens": 250
}),
Then we are at least testing with the same minimum reproducible example.
We can mark as resolved, thanks. it works in starter but somehow not in mine, i will check and see why