Here are the answers to your questions about using the LiveKit Python framework with `AgentSession`: 1. Do you need to manually create and publish audio tracks? No, you do not need to manually create and publish audio tracks when using

AgentSession

. If

audio_enabled=True

is set in

RoomOutputOptions

, the session automatically handles audio track creation and publishing. This includes creating a

LocalAudioTrack

and publishing it as a microphone source. 2. Does

AgentSession.start()

handle audio track publishing automatically? Yes,

AgentSession.start()

automatically handles audio track publishing when

audio_enabled=True

. It sets up the audio output pipeline and publishes the track without requiring additional manual steps. 3. What is the correct connection sequence? The correct sequence is: a. Create the

AgentSession

instance with the required components (e.g., TTS, STT, VAD). b. Connect the job context using

await ctx.connect()

if applicable. c. Call

session.start()

with the agent and room. This method handles all internal setup, including connecting to the room and initializing audio/video tasks. 1. Could the issue be related to your custom TTS implementation? Yes, a custom TTS implementation could cause issues if it does not properly yield

rtc.AudioFrame

objects or handle streaming correctly. Ensure that your TTS implementation: If you suspect the custom TTS is causing the issue, verify its output and test it independently to ensure compatibility. ◦ Yields properly formatted

rtc.AudioFrame

objects. ◦ Handles streaming efficiently to avoid delays or interruptions. ◦ Includes robust error handling and timeout management. ◦ Integrates seamlessly with the

AgentSession

audio pipeline. Let me know if you need further clarification or assistance! Sources: livekit-agents/livekit/agents/voice/room_io/_output.py | evaluating-agents/agent_evals.py | livekit-agents/livekit/agents/worker.py | agent.py | Pipeline nodes and hooks | LiveKit Docs