SIP participant

This example logs the Twilio call SID if the user is a SIP participant.

if (participant.kind == ParticipantKind.SIP) {
  console.log(participant.attributes['sip.twilio.callSid']);
};

The following example is based off the voice-pipeline-agent-python example app. The entrypoint function is modified to identify SIP participants.

1. Add the following line near the top of your agent.py file to import the rtc module:

   from livekit import rtc

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2. Replace the entrypoint function with the following code:

   async def entrypoint(ctx: JobContext):
       initial_ctx = llm.ChatContext().append(
           role="system",
           text=(
               "You are a voice assistant created by LiveKit. Your interface with users will be voice. "
               "You should use short and concise responses, and avoiding usage of unpronouncable punctuation. "
               "You were created as a demo to showcase the capabilities of LiveKit's agents framework."
           ),
       )
   
       logger.info(f"connecting to room {ctx.room.name}")
       await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)
   
       # Wait for the first participant to connect
       participant = await ctx.wait_for_participant()
       logger.info(f"starting voice assistant for participant {participant.identity}")
   
       # Default Deepgram model
       dg_model = "nova-2-general"
   
       # Check if the participant is a SIP participant
       if participant.kind == rtc.ParticipantKind.PARTICIPANT_KIND_SIP:
           # Use a Deepgram model better suited for phone calls
           db_model = "nova-2-phonecall"
   
           # Do something here based on SIP participant attributes
           # For example, look up customer information using their phone number
   
           # If this caller is calling from a specific phone number, do something
           if participant.attributes['sip.phoneNumber'] == '+15105550100':
               logger.info("Caller phone number is +1-510-555-0100")
   
       # This project is configured to use Deepgram STT, OpenAI LLM and TTS plugins
       # Other great providers exist like Cartesia and ElevenLabs
       # Learn more and pick the best one for your app:
       # https://docs.livekit.io/agents/plugins
       assistant = VoicePipelineAgent(
           vad=ctx.proc.userdata["vad"],
           stt=deepgram.STT(model=dg_model),
           llm=openai.LLM(model="gpt-4o-mini"),
           tts=openai.TTS(),
           chat_ctx=initial_ctx,
       )
   
       assistant.start(ctx.room, participant)
   
       # The agent should be polite and greet the user when it joins :)
       await assistant.say("Hey, how can I help you today?", allow_interruptions=True)

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