how to handdle error and send to frontend from bac...
# ask-ai
l
how to handdle error and send to frontend from backend after connection fail to agent
t
Thanks for reaching out, Pavan. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
l
okay
hi
t
Hey there! If you want to handle errors and send them to the frontend after a connection failure to an agent, here’s a friendly guide you can follow: • Handle Errors in Backend: You can use the
@session.on("error")
decorator to catch errors right in your agent code. For instance, you might log the error and gently notify the user with a custom message or some audio. • Monitor Connection State: Keep an eye on the
room.connectionState
property and listen for the
Disconnected
event to spot any connection hiccups. When that happens, let the user know and offer some retry options. • Frontend Error Display: Use UI components like
EmbedAgentClient
to show errors to your users in a clear way. These components can display error messages and let users dismiss them or try again. • Implement Fallback Strategies: Consider using a
FallbackAdapter
to handle provider issues by automatically switching to backup providers and retrying requests, so the experience stays smooth. • Recovery Patterns: It helps to tell apart recoverable errors from the ones that aren’t. For example, errors from TTS or LLM can be recoverable, while for STT errors, you might want to reset the agent if needed. Following these steps will help keep things running smoothly even if the connection acts up. If you want me to walk you through any part or share some examples, just let me know—I’m here to help! Sources: livekit-agents/livekit/agents/_exceptions.py | Web Embed Example | livekit/livekit_composite | DeepWiki | Web and mobile frontends | LiveKit Docs | Events and error handling | LiveKit Docs
l
can you share code for this
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!