ve", "timestamp": "2025-07-29T094632.739580+00:00"}

{
  "message": "The room connection was not established within 10 seconds after calling job_entry. This may indicate that job_ctx.connect() was not called. ",
  "level": "WARNING",
  "name": "livekit.agents",
  "timestamp": "2025-07-29T09:46:41.932814+00:00"
}

from dotenv import load_dotenv from livekit import agents from livekit.agents import AgentSession, Agent, RoomInputOptions # from livekit.plugins import ( # noise_cancellation, # ) from livekit.plugins import google from prompts import AGENT_INSTRUCTION, SESSION_INSTRUCTION from livekit.agents.llm import RealtimeCapabilities from tools import get_weather, search_web, send_email load_dotenv() class Assistant(Agent): def __init__(self) -> None: super().__init__( instructions=AGENT_INSTRUCTION, llm=google.beta.realtime.RealtimeModel( voice="Aoede", temperature=0.8 ), tools=[ get_weather, search_web, send_email ], ) async def entrypoint(ctx: agents.JobContext): session = AgentSession( ) await session.start( room=ctx.room, agent=Assistant(), room_input_options=RoomInputOptions( # LiveKit Cloud enhanced noise cancellation # - If self-hosting, omit this parameter # - For telephony applications, use

BVCTelephony

for best results video_enabled=True, # noise_cancellation=noise_cancellation.BVC(), ), ) await ctx.connect() await session.generate_reply( instructions=SESSION_INSTRUCTION, ) if name == "__main__": agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint))

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

i am bgetting this error : {"message": "The room connection was not established within 10 seconds after calling job_entry. This may indicate that job_ctx.connect() was not called. ", "level": "WARNING", "name": "livekit.agents", "timestamp": "2025-07-29T094641.932814+00:00"}

Hey there! 👋 Looks like you're running into a tricky connection issue with your room setup. No worries – I've got your back and can help you troubleshoot this! Solution: 1. The key is to call job_ctx.connect() nice and early in your entry function. Here's a quick example that should do the trick:

async def entrypoint(ctx: JobContext):
    # Connect to the room early in your entry function
    await ctx.connect()

    # Your agent logic here
    # ...

2. If you're still seeing this pop up occasionally, here are some friendly tips: - Double-check that your server isn't feeling overwhelmed by other tasks - Consider setting up multiple servers for extra reliability - Keep an eye on your worker performance to ensure everything runs smoothly 3. Pro tip: The faster you call ctx.connect(), the less likely you are to run into connection delays. Additional Notes: The connect() method is super flexible and lets you customize things like: - e2ee: End-to-end encryption options - autoSubscribe: Whether to automatically subscribe to tracks (default: SUBSCRIBE_ALL) - rtcConfig: Custom RTC configuration Feel free to tweak these to fit exactly what you need. You've got this! 💪 Sources: livekit-agents/livekit/agents/voice/agent_session.py | How to Get Help from LiveKit | agents/src/job.ts

give me th full correcetd code

Hey there! 👋 I've got a solution for your room connection issue that should make everything run smoothly. Check out the updated code below:

from dotenv import load_dotenv
from livekit import agents
from livekit.agents import AgentSession, Agent, RoomInputOptions
from livekit.plugins import google
from prompts import AGENT_INSTRUCTION, SESSION_INSTRUCTION
from tools import get_weather, search_web, send_email

load_dotenv()

class Assistant(Agent):
    def __init__(self) -> None:
        super().__init__(
            instructions=AGENT_INSTRUCTION,
            llm=google.beta.realtime.RealtimeModel(
                voice="Aoede",
                temperature=0.8
            ),
            tools=[
                get_weather,
                search_web,
                send_email
            ],
        )

async def entrypoint(ctx: agents.JobContext):
    # Ensure the room connection is established early
    await ctx.connect()

    session = AgentSession()

    await session.start(
        room=ctx.room,
        agent=Assistant(),
        room_input_options=RoomInputOptions(
            video_enabled=True,
        ),
    )

    await session.generate_reply(
        instructions=SESSION_INSTRUCTION,
    )

if __name__ == "__main__":
    agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint))

Key Changes: 1. Added await ctx.connect() at the beginning of the entrypoint function to ensure the room connection is established within the required timeframe. 2. Removed commented-out code for clarity. 3. Ensured all necessary imports and configurations are included. I hope this helps solve your connection timeout problem! If you run into any other hiccups, just let me know, and I'll be happy to help you troubleshoot. 😊 Fingers crossed this does the trick!

it woked thank you. but i now ran in to ths error while speakng to the agent: vs\\newagents\\lib\\site-packages\\livekit\\agents\\voice\\speech_handle.py\", line 210, in _mark_done\n self._mark_generation_done()\n File \"C:\\Users\\YUSUF\\miniconda3\\envs\\newagents\\lib\\site-packages\\livekit\\agents\\voice\\speech_handle.py\", line 201, in _mark_generation_done\n raise RuntimeError(\"cannot use mark_generation_done: no active generation is running.\")\nRuntimeError: cannot use mark_generation_done: no active generation is running.", "timestamp": "2025-07-29T095427.685420+00:00"} {"message": "truncate is not supported by the Google Realtime API.", "level": "WARNING", "name": "livekit.plugins.google", "timestamp": "2025-07-29T095427.694623+00:00"}

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!