Im create Agent voice and create front <https://gi...
# ask-ai
n
Im create Agent voice and create front https://github.com/livekit-examples/agent-starter-react-native/blob/main/README.md But whe Speeak i throw an error: 2025-07-22 113803,675 - ERROR livekit.agents - unhandled exception while running the job task Traceback (most recent call last): File “/Volumes/Informacion/codigo/dyalogo/ia/dyalogo-agente-lk-test/agent.py”, line 35, in entrypoint await session.start( ...<8 lines>... ) File “/Volumes/Informacion/codigo/dyalogo/ia/claude/example-claude/dyalogo-test-j4u7op/venv/lib/python3.13/site-packages/livekit/agents/voice/agent_session.py”, line 261, in start await self._room_io.start() File “/Volumes/Informacion/codigo/dyalogo/ia/claude/example-claude/dyalogo-test-j4u7op/venv/lib/python3.13/site-packages/livekit/agents/voice/room_io/room_io.py”, line 156, in start is_delta_stream=True, participant=self._room.local_participant
t
Thanks for reaching out, David. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The error "unhandled exception while running the job task" during
session.start()
and
room_io.start()
in LiveKit Agent Voice can be caused by several factors related to connection setup, component initialization, or configuration issues. Follow these troubleshooting steps to identify and resolve the issue: • Verify connection establishment: Ensure
await ctx.connect()
is called before
session.start()
and that the room connection completes successfully. Watch for any connection timeout warnings. • Check component initialization: Confirm that all required components (LLM, STT, TTS, VAD) are properly configured before starting the session. Validate that the agent and room parameters are correct and that audio/video inputs and outputs are set up without conflicts. • Validate RoomIO setup: Make sure the room is connected, participant identity (if specified) is valid, and input/output options are correctly configured. Check for any conflicts with existing stream handlers or audio/video assignments. • Analyze the full exception: Review the complete stack trace and exception message to pinpoint the exact failure point. Common issues include connection timeouts, component setup failures, or configuration mismatches. • Add detailed logging: Insert logging before and after each major initialization step to identify where the failure occurs. For example:
Copy code
try:
    <http://logger.info|logger.info>("Starting agent session")
    await session.start(agent=agent, room=room)
    <http://logger.info|logger.info>("Agent session started successfully")
    <http://logger.info|logger.info>("Starting room IO")
    await room_io.start()
    <http://logger.info|logger.info>("Room IO started successfully")
except Exception as e:
    logger.error(f"Failed during startup: {type(e).__name__}: {e}")
    logger.error("Stack trace:", exc_info=True)
    raise
• Configuration checklist: Before calling
session.start()
and
room_io.start()
, ensure: ◦ Job context is connected (
await ctx.connect()
) ◦ Agent and room are initialized with valid parameters ◦ Audio/video and participant configurations are compatible ◦ All required components are set up without conflicts Carefully review each step in your initialization sequence and use logging to isolate the failure. If you can provide the full exception message or additional context, more targeted guidance can be given. Sources: examples/voice_agents/push_to_talk.py