i am using a fuction_tool call but it is not able to send data message to the frontend client, possible reasons

Thanks for reaching out, Shashwat. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

Code: @function_tool async def end_of_conversation(context: RunContext, reason: str = "User ended conversation"): """Called when the user wants to end the conversation or when the conversation should be terminated. Args: reason: Brief description of why the conversation is ending """ # Log the conversation end print(f"Conversation ended: {reason}") # Send a final goodbye message await context.session.say("bye bye") # Send data message to frontend client if hasattr(context, 'room') and context.room: data_message = { "type": "conversation_ended", "reason": reason, "timestamp": json.dumps({"timestamp": __import__('time').time()}) } await context.room.local_participant.publish_data( data=json.dumps(data_message).encode('utf-8'), reliable=True ) print(f"Data message sent to frontend: {data_message}") else: print("No room available to send data message.")

There could be a few reasons why your function_tool call isn’t sending data messages to the frontend client. Let’s walk through some possibilities together: • Tool Execution Issues: Double-check that your function tool is properly registered and accessible. Sometimes errors pop up if the tool type is invalid or if the arguments don’t pass validation. • Data Communication Issues: Make sure the agent is connected to the right LiveKit room and that there aren’t any network hiccups or RPC call failures getting in the way. • Session Context Problems: It’s also worth confirming that the session context is set up correctly and ready to handle data sending. Here are a few steps you can try to troubleshoot this: 1. Verify your tool registration and that it’s decorated with

@function_tool

. 2. Check that the arguments you’re passing to the function tool are valid. 3. Take a look at the logs to spot any errors related to tool execution or data publishing. 4. Test whether the agent is properly connected to the LiveKit room. If you want, I’m here to help you dig into any specific part of your setup. Just let me know! Sources: livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/llm.py | complex-agents/shopify-voice-shopper/shopify.py | Transcription Applications | livekit/livekit_composite | DeepWiki | Tool definition and use | LiveKit Docs

yes, the tool gets triggered and Conversation ended is seen in the logs: conversation_ended

Hey there! Since the tool is being triggered and the logs show "Conversation ended," could you help me out by confirming a few things? • Is the

context.room

object available and valid when the data message is being sent? • Do you see any errors or warnings in the logs related to

publish_data

or the data channel? • Are there any active participants in the room who can receive the data message? Getting these details will really help us figure out what's going on. Thanks so much!