explain about add_participant_entrypoint in detail

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

can I run avatar session inside add_participant_entrypoint's participant_task

Absolutely, you can run an avatar session inside the

participant_task

defined in

add_participant_entrypoint

. This task gives you access to the

JobContext

and

RemoteParticipant

, which are just what you need to initialize and start an avatar session smoothly. Here’s a friendly example for you:

async def participant_task(ctx: JobContext, participant: rtc.RemoteParticipant):
    session = AgentSession(
        # Configure STT, LLM, TTS, etc.
    )

    avatar = hedra.AvatarSession(
        avatar_id="...",  # Specify avatar ID
    )
    await avatar.start(session, room=ctx.room)
    await session.start(
        room=ctx.room,
        # Additional options
    )

# Register the entrypoint
ctx.add_participant_entrypoint(entrypoint_fnc=participant_task)

This method works well because the avatar session setup relies on the

JobContext

and room, both of which you can easily access within the task. If you have any questions or want me to walk you through any part of this, just let me know—I’m here to help! Sources: livekit-plugins/livekit-plugins-simli/livekit/plugins/simli/avatar.py | Virtual avatar integrations | LiveKit Docs

from dotenv import load_dotenv from livekit import agents from livekit.agents import AgentSession, Agent, RoomInputOptions from livekit.plugins import ( openai, cartesia, deepgram, noise_cancellation, silero, ) from livekit import rtc from livekit.plugins.turn_detector.multilingual import MultilingualModel load_dotenv(".env.local") class Assistant(Agent): def __init__(self) -> None: super().__init__(instructions="You are a helpful voice AI assistant.") async def entrypoint(ctx: agents.JobContext): print("User joining....") async def participant_task_1(ctx: agents.JobContext, p: rtc.RemoteParticipant): # You can filter out participants you are not interested in # if p.identity != "some_identity_of_interest": # return print("helloooooooooooo-------------------------------") print("\n----------p ---------------") print(p) print("---------------------------\n") print(f"participant task 1 starting for {p.identity}") session = AgentSession( stt=deepgram.STT(model="nova-3", language="multi"), llm=openai.LLM(model="gpt-4o-mini"), tts=cartesia.TTS(model="sonic-2", voice="f786b574-daa5-4673-aa0c-cbe3e8534c02"), vad=silero.VAD.load(), turn_detection=MultilingualModel(), ) await session.start( room=ctx.room, agent=Assistant(), room_input_options=RoomInputOptions( # For telephony applications, use

BVCTelephony

instead for best results noise_cancellation=noise_cancellation.BVC(), ), ) await session.generate_reply( instructions="Greet the user and offer your assistance." ) # Do something with p.attributes, p.identity, p.metadata, etc. # my_stuff = await fetch_stuff_from_my_db(p) # Do something # await asyncio.sleep(60) print(f"participant task done for {p.identity}") ctx.add_participant_entrypoint(entrypoint_fnc=participant_task_1) print("\n--------------GREETED --------------------\n") if name == "__main__": agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint)) will this code work?

It looks like your code is on the right track and should work just fine! The

add_participant_entrypoint

function is meant to register asynchronous tasks for participants, and creating an

AgentSession

within the participant task is totally supported. Here are a few important things to keep in mind: • Make sure to call

ctx.add_participant_entrypoint

before

ctx.connect()

. • The

AgentSession.start()

method needs a valid

room

reference and

agent

instance, both of which you have in your code. • The framework is designed to handle dynamic session creation for each participant, just like in the official examples. If you run into any specific challenges or have questions while running your code, please don’t hesitate to reach out—I’m here to help! Sources: evaluating-agents/agent_to_test.py | Job lifecycle | LiveKit Docs | examples/voice_agents/realtime_joke_teller.py