Can you suggest reasons why

await roomService.moveParticipant('transfer-room-yS9Y-UrNT', 'contact-REDACTED-room-yS9Y-UrNT', 'room-yS9Y-UrNT');

gave error:

Error moving participant "contact-REDACTED-room-yS9Y-UrNT" from "transfer-room-yS9Y-UrNT" to "room-yS9Y-UrNT" Not Found: no handler for path "/twirp/livekit.RoomService/MoveParticipant"
    at TwirpRpc.request (file:///app/node_modules/.pnpm/livekit-server-sdk@2.14.0/node_modules/livekit-server-sdk/dist/TwirpRPC.js:59:13)
    at process.processTicksAndRejections (node:internal/process/task_queues:105:5)
    at async RoomServiceClient.moveParticipant (file:///app/node_modules/.pnpm/livekit-server-sdk@2.14.0/node_modules/livekit-server-sdk/dist/RoomServiceClient.js:162:5)
    at async Object.execute (file:///app/dist/tools/contact-warm-transfer.js:152:33)
    at async file:///app/node_modules/.pnpm/@livekit+agents@1.0.15_@livekit+rtc-node@0.13.20_zod@3.25.76/node_modules/@livekit/agents/dist/voice/generation.js:584:16 {
  status: 404,
  code: 'bad_route',
  metadata: {
    twirp_invalid_route: 'POST /twirp/livekit.RoomService/MoveParticipant'
  }
}

And ultimately, any suggestions for resolution.

How would I listen to when a call is hung up by the user / agent? I want to do an action when the call is finished.

What is this error? I am getting suddenly? I've changed my keys and still seeing this>>

2025-11-03 123914,122 - ERROR livekit.agents - AgentSession is closing due to unrecoverable error Traceback (most recent call last): File "/Users/melvinramos/.pyenv/versions/3.12.9/envs/sales-receptionist/lib/python3.12/site-packages/livekit/agents/stt/stt.py", line 289, in _main_task return await self._run() ^^^^^^^^^^^^^^^^^ File "/Users/melvinramos/.pyenv/versions/3.12.9/envs/sales-receptionist/lib/python3.12/site-packages/livekit/agents/inference/stt.py", line 416, in _run ws = await self._connect_ws() ^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/melvinramos/.pyenv/versions/3.12.9/envs/sales-receptionist/lib/python3.12/site-packages/livekit/agents/inference/stt.py", line 469, in _connect_ws ws = await asyncio.wait_for( ^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/melvinramos/.pyenv/versions/3.12.9/lib/python3.12/asyncio/tasks.py", line 520, in wait_for return await fut ^^^^^^^^^ File "/Users/melvinramos/.pyenv/versions/3.12.9/envs/sales-receptionist/lib/python3.12/site-packages/aiohttp/client.py", line 1100, in _ws_connect raise WSServerHandshakeError( aiohttp.client_exceptions.WSServerHandshakeError: 401, message='Invalid response status', url='wss://agent-gateway.livekit.cloud/v1/stt'

Is there any way I can get the call SID from Twilio when I dispatch the agent to join the session? Where can I grab the Twilio SID?

I want to make my Agent State aware, so i have a state(e.g. greeting_completed, identity_asked, users_intent,...) and i want this to inject into the LLM, so that it knows the current state (like a Statemachine). How and where should i inject this state?

How would I temporarily mute the agent and unmute?

what are the best settings in terms of turn detection & interruptions for building telephony agents with livekit

How can we access conversation history of just 1 agent amongst other 3-4 agents?

in quick start demo: uv run agent.py console ... 2025-11-04 032432,396 - INFO livekit.agents - job runner initialized {"tid": 597387, "elapsed_time": 0.0} 2025-11-04 032432,777 - DEBUG livekit.agents - http_session(): creating a new httpclient ctx 2025-11-04 032432,779 - DEBUG livekit.agents - using audio io:

ChatCLI

->

AgentSession

->

TranscriptSynchronizer

->

ChatCLI

2025-11-04 032432,779 - DEBUG livekit.agents - using transcript io:

AgentSession

->

TranscriptSynchronizer

->

ChatCLI

2025-11-04 032433,004 - ERROR livekit.agents - AgentSession is closing due to unrecoverable error Traceback (most recent call last): File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/stt/stt.py", line 289, in _main_task return await self._run() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/inference/stt.py", line 416, in _run ws = await self._connect_ws() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/inference/stt.py", line 469, in _connect_ws ws = await asyncio.wait_for( File "/Users/steven/.pyenv/versions/3.10.16/lib/python3.10/asyncio/tasks.py", line 445, in wait_for return fut.result() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1494, in send return self._coro.send(arg) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1093, in _ws_connect raise WSServerHandshakeError( aiohttp.client_exceptions.WSServerHandshakeError: 401, message='Invalid response status', url='wss://agent-gateway.livekit.cloud/v1/stt' 2025-11-04 032433,007 - ERROR asyncio - Task exception was never retrieved future: <Task finished name='Task-37' coro=<ConnectionPool.prewarm.<locals>._prewarm_impl() done, defined at /Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/utils/connection_pool.py:165> exception=WSServerHandshakeError(RequestInfo(url=URL('wss://agent-gateway.livekit.cloud/v1/tts'), method='GET', headers=<CIMultiDictProxy('Host': 'agent-gateway.livekit.cloud', 'Authorization': 'Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbmZlcmVuY2UiOnsicGVyZm9ybSI6dHJ1ZX0sInN1YiI6ImFnZW50IiwiaXNzIjoiQVBJd0hkbTg3VXlRN2U3IiwibmJmIjoxNzYyMTk3ODcyLCJleHAiOjE3NjIxOTg0NzJ9.DtFY3QvAXD3HB1CLNVwS6FKEgml_ND5g22aLEBE6Rj0', 'Upgrade': 'websocket', 'Connection': 'Upgrade', 'Sec-WebSocket-Version': '13', 'Sec-WebSocket-Key': '3+89v+WXrYAyajzFnwsX+g==', 'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'User-Agent': 'Python/3.10 aiohttp/3.13.2')>, real_url=URL('wss://agent-gateway.livekit.cloud/v1/tts')), (), status=401, message='Invalid response status', headers=<CIMultiDictProxy('Content-Length': '54', 'Content-Type': 'text/plain; charset=utf-8', 'Date': 'Mon, 03 Nov 2025 192432 GMT', 'Vary': 'Origin')>)> Traceback (most recent call last): File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/utils/connection_pool.py", line 168, in _prewarm_impl conn = await self._connect(timeout=self._connect_timeout) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/utils/connection_pool.py", line 62, in _connect connection = await self._connect_cb(timeout) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/inference/tts.py", line 290, in _connect_ws ws = await asyncio.wait_for( File "/Users/steven/.pyenv/versions/3.10.16/lib/python3.10/asyncio/tasks.py", line 445, in wait_for return fut.result() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1494, in send return self._coro.send(arg) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1093, in _ws_connect raise WSServerHandshakeError( aiohttp.client_exceptions.WSServerHandshakeError: 401, message='Invalid response status', url='wss://agent-gateway.livekit.cloud/v1/tts' 2025-11-04 032433,010 - ERROR livekit.agents - Error in _stt_task Traceback (most recent call last): File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/stt/stt.py", line 408, in anext val = await self._event_aiter.__anext__() StopAsyncIteration During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/utils/log.py", line 16, in async_fn_logs return await fn(*args, **kwargs) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/voice/audio_recognition.py", line 578, in _stt_task async for ev in node: File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/voice/agent.py", line 376, in stt_node async for event in stream: File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/stt/stt.py", line 411, in anext raise exc # noqa: B904 File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/stt/stt.py", line 289, in _main_task return await self._run() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/inference/stt.py", line 416, in _run ws = await self._connect_ws() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/livekit/agents/inference/stt.py", line 469, in _connect_ws ws = await asyncio.wait_for( File "/Users/steven/.pyenv/versions/3.10.16/lib/python3.10/asyncio/tasks.py", line 445, in wait_for return fut.result() File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1494, in send return self._coro.send(arg) File "/Users/steven/wrkspc/onglai/lk/livekit-voice-agent/.venv/lib/python3.10/site-packages/aiohttp/client.py", line 1093, in _ws_connect raise WSServerHandshakeError( aiohttp.client_exceptions.WSServerHandshakeError: 401, message='Invalid response status', url='wss://agent-gateway.livekit.cloud/v1/stt' 2025-11-04 032433,014 - DEBUG livekit.agents - session closed {"reason": "error", "error": "type='stt_error' timestamp=1762197873.004409 label='livekit.agents.inference.stt.STT' error=WSServerHandshakeError(RequestInfo(url=URL('wss://agent-gateway.livekit.cloud/v1/stt'), method='GET', headers=<CIMultiDictProxy('Host': 'agent-gateway.livekit.cloud', 'Authorization': 'Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbmZlcmVuY2UiOnsicGVyZm9ybSI6dHJ1ZX0sInN1YiI6ImFnZW50IiwiaXNzIjoiQVBJd0hkbTg3VXlRN2U3IiwibmJmIjoxNzYyMTk3ODcyLCJleHAiOjE3NjIxOTg0NzJ9.DtFY3QvAXD3HB1CLNVwS6FKEgml_ND5g22aLEBE6Rj0', 'Upgrade': 'websocket', 'Connection': 'Upgrade', 'Sec-WebSocket-Version': '13', 'Sec-WebSocket-Key': 'gFAPVOEdHBkqhMVTa5skvA==', 'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'User-Agent': 'Python/3.10 aiohttp/3.13.2')>, real_url=URL('wss://agent-gateway.livekit.cloud/v1/stt')), (), status=401, message='Invalid response status', headers=<CIMultiDictProxy('Content-Length': '54', 'Content-Type': 'text/plain; charset=utf-8', 'Date': 'Mon, 03 Nov 2025 192432 GMT', 'Vary': 'Origin')>) recoverable=False"}

I am having an issue with the hyperparameters of my turn-detection / VAD model. The behavior is as follows: the agent replies too quickly / when an answer is not necessary (i.e. when the user says "one moment", "alright", etc.). Sometimes the user is halfway through the sentence and it does not catch that: the agent will reply and cause the rest of the user's words to be a separate speech chunk / transcript item. I suspect this issue can be resolved by fixing the turn-taking/VAD parameters, but I'm not sure which ones are relevant to change and in what direction / magnitude they should be changed. Here are my current parameters that are not default: min_endpointing_delay=0.3, min_silence_duration=0.5, prefix_padding_duration=0.1, activation_threshold=0.6.

how to set multi agent handoff with multiple python file explain detaily

When should you await a session.say and when should you not?

RuntimeError: inference of lk_end_of_utterance_multilingual failed: no inference executor

lets say i have 2 agents; agent 1 hands off to agent 2 and then it hands off back to agent 1; how can i have it such that only when agent 2 hands off to agent 1; then agent 1 has a new function tool available to it; is it even possible?

How can I set the instruction in the on_enter this is what i have

def __init__(self, chat_ctx=None) -> None:
        super().__init__(
            chat_ctx=chat_ctx,
            instructions="You are a helpful teaching assistant."
        )
        self.current_lesson = 0
        self.covered_lessons = []
        self.completed_lessons = []
    
    async def on_enter(self) -> None:
        """Initialize from session state when agent becomes active"""
        state: SessionState = self.session.userdata
        
        # Build dynamic instructions
        video_data = state.video_data
        language_code = state.language or 'en'
        self.instructions = get_intro_agent_instructions(video_data, language_code)

but am getting an error AttributeError: property 'instructions' of 'IntroAgent' object has no setter {"room": "voice_assistant_room_1104", "pid": 59594, "job_id": "AJ_YDBkFsUGKGWM"}

is it possible to preprocess audio with something like RNNoise before using it inside realtime models?

How can I change agent language to latvian? I need a Full speech to speech solution.

for agent deployed to livekit, what is the maximim concurent meetings ?

list all language supported by MultilingualModel

What are your suggestions for being able to grab the user’s transcription from the STT node and getting the output from the LLM in as real time as possible? We want to do some processing real-time on that information.

How can I have a ~2 second delay once the call is answered by a user before generate_reply starts?

How do you advise “resetting” an agent on a call?

https://docs.livekit.io/home/server/webhooks Why does my webhook endpoint never receive

room_finished

event?

The agent should join the web call and remain silent, simply listening to the conversation. It should only respond when its name is mentioned, and once it has spoken, it should return to listening mode.

I’m not receiving participant connected events when running through LiveKit cloud but I receive these events when I run via the console. What might be the cause?

Hi, how do you create low latency pipeline agent on your main page demo?

how can i make the agent play a prerecord file ( Please wait a minute) when the LLm take more than 5 seconds to answer

How do I implement rate limiting? My SIP trunk provider cannot handle more than 13 channels (13 concurrent calls)

Can we add multi/parallel language model, i.e for fast and quick reply, we want to use nano model, and we do longer or complex task on large reasoning model? How to do that? I want to reduce the STT-LLM-TTS pipeline latency on generating reply, doing task, and etc...