I am using livekit for building a prototype voice ...
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I am using livekit for building a prototype voice agent but my chatcontext is not getting updated when being passed into on_user_turn_completed callback with the latest user message because of race condition for the STT to complete its work. the user message is available in the chatcontext only on next user turn. how to fix this?
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Thanks for reaching out, Dipesh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Hey there! To tackle the race condition in your voice agent prototype—where the chat context isn’t updating properly in the
on_user_turn_completed
callback—here’s a friendly step-by-step guide: 1. Use the Temporary Context: It’s best to work with the
turn_ctx
parameter that’s passed into the callback, instead of changing the main chat context directly. This way, your changes stay nicely contained within the current turn. 2. Atomic Updates: When you want to save changes, make sure all your updates to
turn_ctx
are done before you call
await self.update_chat_ctx(turn_ctx)
. This keeps everything tidy and consistent. 3. Handle Exceptions: Since the framework catches exceptions in
on_user_turn_completed
, it’s a good idea to write your logic so it handles errors smoothly—this helps avoid any unexpected hiccups. 4. StopResponse for Early Termination: If you need to stop generation early, especially when the user’s message isn’t complete or valid, using
StopResponse
is a safe way to do that. Putting these tips together with LiveKit’s handy features like turn interruption detection and locks for updating the chat context should help you sort out the issue. If you want me to walk you through any part or share some examples, just let me know—I’m here to help! Sources: Voice pipeline nodes | LiveKit Docs | livekit-agents/livekit/agents/voice/agent_activity.py