izittmarvin/open-skills-chinese/molili-8203

# Install SDK
pip install livekit-agents livekit-plugins-openai livekit-plugins-deepgram livekit-plugins-cartesia
 
# Or Node.js
npm install @livekit/agents @livekit/agents-plugin-openai

from livekit.agents import AgentSession, JobContext, WorkerOptions, cli
from livekit.plugins import deepgram, openai, cartesia
async def entrypoint(ctx: JobContext):
    await ctx.connect()
    
    session = AgentSession(
        stt=deepgram.STT(),
        llm=openai.LLM(model="gpt-4.1-mini"),
        tts=cartesia.TTS(),
    )
    
    session.start(ctx.room)
    await session.say("Hello! How can I help?")
if __name__ == "__main__":
    cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))

LIVEKIT_URL=wss://your-app.livekit.cloud
LIVEKIT_API_KEY=your-api-key
LIVEKIT_API_SECRET=your-api-secret
 
# Provider keys (if not using LiveKit Inference)
OPENAI_API_KEY=
DEEPGRAM_API_KEY=
CARTESIA_API_KEY=
ELEVENLABS_API_KEY=

from livekit.agents import function_tool
@function_tool()
async def get_weather(location: str) -> str:
    """Get current weather for a location."""
    # Your implementation
    return f"Weather in {location}: 72°F, sunny"
session = AgentSession(
    stt=deepgram.STT(),
    llm=openai.LLM(),
    tts=cartesia.TTS(),
    tools=[get_weather],
)

from livekit import api
# Outbound call
await lk_api.sip.create_sip_participant(
    api.CreateSIPParticipantRequest(
        sip_trunk_id="trunk-id",
        sip_call_to="+15551234567",
        room_name="my-room",
    )
)

docker run -d \
  -p 7880:7880 -p 7881:7881 -p 7882:7882/udp \
  -e LIVEKIT_KEYS="api-key: api-secret" \
  livekit/livekit-server

session = AgentSession(
    turn_detection=openai.TurnDetection(
        threshold=0.5,
        silence_duration_ms=500,
    ),
    ...
)

@session.on("user_speech_started")
async def handle_interruption():
    session.stop_speaking()

await session.transfer_to(specialist_agent)