what is the use of on_exit, can we capture except...
# ask-ai
b
what is the use of on_exit, can we capture exceptions occured during call here?
t
Thanks for reaching out, Sandeep. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The on_exit lifecycle hook in LiveKit is there to help with cleanup tasks or to send a friendly goodbye message when an agent is about to hand things over. For instance, it’s perfect for saving data or giving a quick farewell. That said, on_exit doesn’t catch any exceptions that might pop up during a call. To handle those, you’ll want to use specific error events and fallback strategies instead. If you’d like me to share more details or some examples, just give me a shout—I’m happy to help! Sources: Events and error handling | LiveKit Docs | Pipeline nodes and hooks | LiveKit Docs | Voice pipeline nodes | LiveKit Docs
b
what is the best place to capture exception during call?
t
When it comes to catching exceptions during a call in LiveKit, here are some friendly tips to help you out: 1. Try-Except Blocks: It’s a good idea to wrap your important code in try-except blocks. This way, you can log exceptions along with useful info like the function name or speech ID—makes debugging a lot easier! 2. Log Exceptions Decorator: You can use a decorator to handle exceptions smoothly across both synchronous and asynchronous functions. It keeps things consistent and tidy. 3. OpenTelemetry: This lets you record exceptions with extra metadata, which is super handy for tracing and monitoring across distributed systems. 4. LLM Streams: Consider emitting errors as events here, so you can handle them centrally in your workflows without missing a beat. 5. Agent Sessions: For components like STT, TTS, or LLM, make sure to catch errors and handle them gracefully—maybe with fallback actions to keep things running smoothly. If you want, I’d be happy to share some examples or dive deeper into any of these methods—just give me a shout! Sources: examples/voice_agents/error_callback.py