fa65fbeb3d
Bot @ai:agiliton.eu accepts room invites, dispatches LiveKit agent. Agent joins call with STT (Groq Whisper) → LLM (Sonnet) → TTS (ElevenLabs) pipeline, all routed through LiteLLM. CF-1147 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import os
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import logging
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from livekit.agents import Agent, AgentSession, AgentServer, JobContext, JobProcess, cli
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from livekit.plugins import openai as lk_openai, elevenlabs, silero
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logger = logging.getLogger("matrix-ai-agent")
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LITELLM_URL = os.environ["LITELLM_BASE_URL"]
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LITELLM_KEY = os.environ.get("LITELLM_API_KEY", "not-needed")
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SYSTEM_PROMPT = """You are a helpful voice assistant in a Matrix call.
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Rules:
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- Keep answers SHORT — 1-3 sentences max
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- Be direct, no filler words
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- If the user wants more detail, they will ask
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- Speak naturally as in a conversation"""
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server = AgentServer()
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def prewarm(proc: JobProcess):
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proc.userdata["vad"] = silero.VAD.load()
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server.setup_fnc = prewarm
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@server.rtc_session(agent_name="matrix-ai")
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async def entrypoint(ctx: JobContext):
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model = os.environ.get("LITELLM_MODEL", "claude-sonnet")
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voice_id = os.environ.get("ELEVENLABS_VOICE_ID", "21m00Tcm4TlvDq8ikWAM")
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session = AgentSession(
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stt=lk_openai.STT(
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base_url=LITELLM_URL,
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api_key=LITELLM_KEY,
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model="whisper",
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),
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llm=lk_openai.LLM(
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base_url=LITELLM_URL,
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api_key=LITELLM_KEY,
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model=model,
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),
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tts=elevenlabs.TTS(
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voice=voice_id,
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model="eleven_multilingual_v2",
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),
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vad=ctx.proc.userdata["vad"],
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)
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agent = Agent(instructions=SYSTEM_PROMPT)
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await session.start(agent=agent, room=ctx.room)
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await session.generate_reply(instructions="Greet the user briefly.")
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if __name__ == "__main__":
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cli.run_app(server)
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