@millions-hair-24956 I setup multimodel agent. when i testing agent first speech is commited but when i speak it doesn't take any responses

The issue you're experiencing with the MultimodalAgent not responding after the first speech could be related to the configuration of the agent or the handling of speech events. According to the LiveKit documentation, the MultimodalAgent uses OpenAI’s multimodal model and realtime API to process user audio and generate audio responses. However, it does not have a

say

method like the VoicePipelineAgent, and responses are typically managed through session management and event handling. Ensure that your agent is correctly set up to handle speech events. You can use event listeners to manage when the user starts and stops speaking, and when the agent starts and stops speaking. If the agent is not responding after the first speech, check if the

user_stopped_speaking

and

agent_speech_committed

events are being triggered correctly. You might also want to verify that the session is properly initialized and that the agent is subscribed to the necessary audio tracks. Would you like more detailed guidance on setting up event listeners or troubleshooting the session management? Sources: - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 my issue is agent connec to the room and speak one sentence and stop responding

It seems likely that the issue with the MultimodalAgent speaking only one sentence and then stopping could be related to how the session is managed or how the agent is configured to handle speech events. According to the LiveKit documentation, the MultimodalAgent should be set up to handle continuous interactions by managing the conversation state and handling events such as

user_started_speaking

and

user_stopped_speaking

. Ensure that your agent is correctly set up to handle these events and that the session is properly initialized. You should also verify that the agent is subscribed to the necessary audio tracks and that the session is not prematurely ending. Additionally, check if the agent's configuration allows for interruptions and if the

agent_speech_committed

event is being triggered correctly. Would you like more detailed guidance on setting up event listeners or troubleshooting the session management? Sources: - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 from future import annotations import logging from dotenv import load_dotenv from livekit import rtc from livekit.agents import ( AutoSubscribe, JobContext, WorkerOptions, cli, llm, ) from livekit import api from livekit.agents.multimodal import MultimodalAgent from livekit.plugins import openai from prompt_instructions import instructions as prompt import os from datetime import datetime from assistant_funtion import AssistantFnc from assistant_funtion import start_room_composite_egress load_dotenv(dotenv_path=".env.example") logger = logging.getLogger("my-worker") logger.setLevel(logging.INFO) def warn(msg): return f"{'*'*100}\n {msg} \n{'*'*100}\n" async def run_multimodal_agent(ctx: JobContext, participant: rtc.RemoteParticipant): """ Runs a multimodal agent to interact with the participant. """ logger.info("Starting multimodal agent") #logger.error(warn('bala')) api_client = api.LiveKitAPI( os.getenv("LIVEKIT_URL"), os.getenv("LIVEKIT_API_KEY"), os.getenv("LIVEKIT_API_SECRET"), ) if participant.kind == rtc.ParticipantKind.PARTICIPANT_KIND_SIP: phone_number = participant.attributes['sip.phoneNumber'][-12:] call_time = datetime.now() real_phone_number = phone_number print("="*100) print(f"+{real_phone_number}") real_phone_number = "+916374038806" # user_data = await get_customer_data(phone_number) instructions = prompt(patient_details=None) model = openai.realtime.RealtimeModel( instructions=instructions, voice='shimmer', turn_detection=openai.realtime.ServerVadOptions( threshold=0.8, prefix_padding_ms=300, silence_duration_ms=200 ), temperature=0.7, modalities=["audio", "text"], ) fnc_ctx = AssistantFnc(api_client=api_client,ctx=ctx,phone_number=real_phone_number) assistant = MultimodalAgent(model=model,fnc_ctx=fnc_ctx) assistant.start(ctx.room, participant) session = model.sessions[0] session.conversation.item.create( llm.ChatMessage( role="voice assistant", content="Please begin the interaction with the user in a manner consistent with your instructions.", ) ) session.response.create() #await start_room_composite_egress(ctx.room.name,phone_number=phone_number,call_time=call_time) async def entrypoint(ctx: JobContext): """ Entry point for the job. """ logger.info(f"Connecting to room {ctx.room.name}") await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY) participant = await ctx.wait_for_participant() await run_multimodal_agent(ctx, participant) if name == "__main__": cli.run_app( WorkerOptions( entrypoint_fnc=entrypoint, ) )

The code you provided sets up a MultimodalAgent using LiveKit's framework to interact with a participant in a room. The agent is configured to use OpenAI's RealtimeModel for audio and text modalities. However, if the agent only speaks one sentence and then stops responding, there might be a few areas to check: 1. Session Management: Ensure that the session is correctly initialized and that the

session.response.create()

method is being called appropriately to generate responses. The session should be actively managed to handle ongoing interactions. 2. Event Handling: Verify that the agent is set up to handle events such as

user_started_speaking

and

user_stopped_speaking

. These events are crucial for managing the flow of conversation and ensuring that the agent responds to user input. 3. Audio Track Subscription: Make sure that the agent is subscribed to the necessary audio tracks. This is essential for the agent to receive and process user audio input. 4. Error Handling: Check for any errors or warnings in the logs that might indicate issues with the agent's configuration or the session management. Would you like more detailed guidance on any specific part of the setup or troubleshooting steps? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1732022090.671149 - https://livekit-users.slack.com/archives/C07FRP66XGE/p1729631685.283519 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 write a code for this

I'm here to help with questions related to Livekit. If you have a specific question about implementing or troubleshooting a feature in Livekit, please provide more details or clarify your request, and I'll do my best to assist you. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 It does not takes user speech why?

If the MultimodalAgent is not processing user speech, there could be several reasons related to configuration or event handling. Here are some potential causes and solutions: 1. Audio Track Subscription: Ensure that the agent is correctly subscribed to the participant's audio track. The agent needs to receive audio input to process it. Verify that the

AutoSubscribe.AUDIO_ONLY

setting is correctly applied when connecting to the room. 2. Voice Activity Detection (VAD): Check the VAD settings in your

RealtimeModel

. The

threshold

,

prefix_padding_ms

, and

silence_duration_ms

parameters should be configured to accurately detect when the user starts and stops speaking. Adjust these parameters if the agent is not detecting speech correctly. 3. Event Handling: Make sure that the agent is set up to handle speech events such as

user_started_speaking

and

user_stopped_speaking

. These events are crucial for managing the conversation flow and ensuring the agent responds to user input. 4. Session Initialization: Verify that the session is properly initialized and that the agent is actively listening for user input. Ensure that the session is not prematurely ending or encountering errors. 5. Error Logs: Check the logs for any errors or warnings that might indicate issues with the agent's configuration or the session management. This can provide insights into why the agent is not processing speech. Would you like more detailed guidance on any specific part of the setup or troubleshooting steps? Sources: - https://docs.livekit.io/python/livekit/agents/pipeline/pipeline_agent.html#args - https://docs.livekit.io/python/livekit/agents/pipeline/index.html#args 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 how to check this?

To check why the MultimodalAgent is not processing user speech, you can follow these steps: 1. Verify Audio Track Subscription: Ensure that the agent is subscribed to the participant's audio track. You can log the subscription status or use debugging tools to confirm that the audio track is being received by the agent. 2. Adjust VAD Parameters: Experiment with different Voice Activity Detection (VAD) parameters to see if they improve speech detection. You can log the VAD events to check if the agent is detecting when the user starts and stops speaking. 3. Check Event Listeners: Ensure that event listeners for

user_started_speaking

and

user_stopped_speaking

are correctly set up. You can add logging within these event handlers to confirm they are being triggered. 4. Review Logs for Errors: Check the application logs for any errors or warnings related to the agent's operation. This can provide insights into issues with session management or audio processing. 5. Test with Different Configurations: Try different configurations for the

RealtimeModel

and the agent setup to see if any changes affect the agent's ability to process speech. Would you like more detailed guidance on implementing any of these steps? Sources: - https://docs.livekit.io/python/livekit/agents/pipeline/pipeline_agent.html#args - https://docs.livekit.io/agents/openai/customize/parameters/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.