LiveKit Pioneers Next‑Generation AI Agents with Sonic

load_dotenv(dotenv_path=".env.local")
logger = logging.getLogger("voice-agent")


def prewarm(proc: JobProcess):
    proc.userdata["vad"] = silero.VAD.load()


async def entrypoint(ctx: JobContext):
    initial_chat_context = 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 avoid usage of unpronounceable punctuation. "
        ),
    )

    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}")

    # Set up the Agent
    agent = VoicePipelineAgent(
        vad=ctx.proc.userdata["vad"],
        stt=deepgram.STT(),
        llm=openai.LLM(model="gpt-4o-mini"),
        tts=cartesia.TTS(
            model="sonic",
            voice="794f9389-aac1-45b6-b726-9d9369183238",
        ),
        chat_ctx=initial_chat_context,
    )

    agent.start(ctx.room, participant)

    # Once connected, we start by hardcoding a greeting
    await agent.say(f"Hey {participant.identity}! How can I help you today?", allow_interruptions=True)


if __name__ == "__main__