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79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
import logging
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import os
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from typing import List, Optional
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from dotenv import load_dotenv
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from livekit.agents import (
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Agent,
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AgentSession,
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ChatContext,
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JobContext,
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WorkerOptions,
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cli,
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function_tool,
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mcp,
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)
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from livekit.plugins import deepgram, openai, silero
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from livekit.plugins.turn_detector.multilingual import MultilingualModel
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load_dotenv(os.path.join(os.path.dirname(__file__), "..", "..", ".env"))
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logger = logging.getLogger("calendar-agent")
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class CalendarAgent(Agent):
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def __init__(
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self, chat_ctx: ChatContext, tools: Optional[List[function_tool]] = None
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) -> None:
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final_instructions = (
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"You are a Calendar specialist. You can help with scheduling, creating, modifying, or "
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"querying calendar events, appointments, and meetings. "
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"Use tools like 'create_calendar_event', 'get_calendar_events', etc., when available. "
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"If your task is complete or the user asks for something outside your calendar capabilities "
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"(e.g., math, web search), you MUST use the 'delegate_to_router_agent' tool to return to "
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"the main assistant."
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)
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all_tools = tools if tools is not None else []
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mcp_servers_list = []
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gumloop_mcp_url = os.getenv("GUMLOOP_CALENDAR_MCP_URL")
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if gumloop_mcp_url:
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mcp_servers_list.append(
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mcp.MCPServerHTTP(
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url=gumloop_mcp_url,
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timeout=5,
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client_session_timeout_seconds=5,
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)
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)
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super().__init__(
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instructions=final_instructions,
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chat_ctx=chat_ctx,
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allow_interruptions=True,
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tools=all_tools,
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mcp_servers=mcp_servers_list,
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)
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async def on_enter(self):
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self.session.generate_reply()
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async def entrypoint(ctx: JobContext):
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await ctx.connect()
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session = AgentSession(
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vad=silero.VAD.load(),
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stt=deepgram.STT(model="nova-3", language="multi"),
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llm=openai.LLM(model="gpt-4o-mini"),
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tts=openai.TTS(voice="ash"),
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turn_detection=MultilingualModel(),
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)
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await session.start(agent=CalendarAgent(chat_ctx=session._chat_ctx), room=ctx.room)
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if __name__ == "__main__":
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cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))
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