I am using manual turn detection for lk agent. In ...
# ask-ai
f
I am using manual turn detection for lk agent. In case of client performs an end_turn wherein I perform a session.commit_user_turn() with a timeout. My question is what happens after the timeout is exceeded.
t
Thanks for reaching out, Tushar. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I understand how important it is to know what happens when the timeout in
session.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.ts
f
What if after the timeout, there is no transcript at all.
t
I understand that dealing with timeouts and empty transcripts can be a bit tricky, so let me walk you through how the system manages this situation in `session.commit_user_turn()`: • When a timeout happens and no transcript is captured, the system gently handles it without throwing any errors or warnings. It simply treats the lack of a transcript as a valid scenario—for example, if the user didn’t speak. • If there’s any interim transcript available, it gets added to the audio transcript. If not, the transcript just stays empty. • Then, the system triggers end-of-turn detection using that empty transcript. • The
on_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