https://livekit.io logo
Join Slack
Powered by
Hey team, what is the best way to handle scenarios...
# ask-ai
a
Hey team, what is the best way to handle scenarios where the agent has invoked some tool and then patient interrupts the agent while the tool is still in progress - this leads various issues in our medical front desk agent.
t
Thanks for reaching out, nidhish. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
When a tool is called but the user steps in and interrupts, LiveKit has some great features to help you manage that smoothly: • Detect Interruptions: You can check the 
speech_handle.interrupted
property to see if the user has interrupted the agent. This way, you can gracefully stop any long-running tasks and tidy things up. • Wait for Tasks: Using 
wait_if_not_interrupted()
helps make sure background tasks, like running a tool, only continue if there’s no interruption. If the user interrupts, the task gets canceled automatically. • Cancel External Requests: For things like HTTP calls, it’s a good idea to design your tools to support cancellation. You can use things like 
abortSignal
in JavaScript or 
asyncio
in Python to handle this smoothly. • Automatic Behavior: By default, LiveKit will stop the agent’s speech when it detects the user talking. Plus, you can manually trigger interruptions anytime with the 
interrupt()
method. These features really help your agents feel more natural and responsive when users jump in, while keeping everything running efficiently. If you’d like, I’m here to walk you through more details or share some examples! Sources: Bringing AI avatars to voice agents | livekit-agents/livekit/agents/voice/agent_activity.py | Agent speech and audio | LiveKit Docs | agents/src/voice/generation.ts | Bringing AI avatars to voice agents
a
what issue is this
Copy code
WARNING:livekit:livekit::rtc_engine:453:livekit::rtc_engine - received session close: "signal client closed: \"stream closed\"" UnknownReason Resume
t
It looks like the warning 
livekit::rtc_engine - received session close: signal client closed: stream closed
is letting us know that the signaling connection (WebSocket) between your client and the LiveKit server was unexpectedly closed. This usually happens because of network instability, which can be really frustrating, I know. The good news is that the LiveKit client SDK is designed to handle this gracefully by trying to recover automatically: • ICE Restart: This reconnects the signaling WebSocket and refreshes the WebRTC connection, typically causing just a brief pause in your video. • Full Reconnection: If the ICE restart doesn’t do the trick, the SDK will perform a full session reconnection and emit 
Reconnecting
and 
Reconnected
events to keep you informed. To help you troubleshoot this smoothly, here are a few things you might want to check: • Make sure your client has a stable internet connection to minimize interruptions. • Keep an eye on the 
Reconnecting
and 
Reconnected
events so you can manage the user experience during these reconnections. • Double-check your LiveKit server configuration to rule out any server-side hiccups. • Keep your LiveKit client SDK updated — updates often bring improved reconnection handling. • If you’re aiming for high reliability, consider adding a connection monitor to catch and respond to issues quickly. If you have any questions or need a hand walking through these steps, just let me know—I’m here to help! Sources: livekit-rtc/livekit/rtc/_proto/participant_pb2.pyi | Runtime/Scripts/Proto/Participant.cs | lib/src/proto/livekit_models.pbenum.dart | livekit/livekit_models.pb.go | packages/livekit-rtc/src/proto/participant_pb.ts
2 Views
Open in Slack
PreviousNext
Powered by