future-umbrella-45124
09/25/2025, 10:32 AMtall-airline-16756
09/25/2025, 10:32 AMtall-airline-16756
09/25/2025, 10:33 AMsession.commit_user_turn() is exceeded during manual turn detection. Here’s a friendly walkthrough of the process:
• If the last final transcript was received more than 0.5 seconds ago and the audio is detached, the system gently pushes silence frames to the STT system. This helps flush its internal buffer and may trigger a final transcript event.
• The system then patiently waits up to the specified timeout duration for the STT pipeline to provide a final transcript.
• If the timeout is exceeded, any interim transcript available is thoughtfully appended to the current transcript, and the interim transcript buffer is cleared to keep things tidy.
• Finally, the combined transcript updates the chat context, and end-of-utterance (EOU) detection kicks in to start generating the agent’s response.
This approach is designed to make sure that even if the STT system experiences some delay or doesn’t produce a final transcript, the agent can still move forward confidently with the data at hand.
Sources: livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/stt.py | agents/src/voice/agent_activity.tsfuture-umbrella-45124
09/25/2025, 10:34 AMtall-airline-16756
09/25/2025, 10:35 AMon_end_of_turn hook is called next, passing along the empty transcript.
• In your agent’s on_user_turn_completed callback, you have the opportunity to manage this empty transcript case—like raising a StopResponse if you want to prevent the agent from replying.
This approach helps the turn wrap up smoothly, even when no speech is detected. Plus, it gives you the flexibility to add your own custom handling for empty transcripts in your application logic. If you have any questions or want to explore more about this, I’m here to help!
Sources: livekit-agents/livekit/agents/voice/agent_activity.py | agents/src/voice/agent_activity.ts