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Reorganize community environments - Move lean_proof_env, router_env, and philosophical_rlaif_env.py to environments/community/ - Add comprehensive README for community environments - This organizes community-contributed environments into a dedicated community folder for better maintainability and discoverability
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import logging
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import os
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from dotenv import load_dotenv
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from pathlib import Path
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from livekit.agents import Agent, AgentSession, JobContext, WorkerOptions, cli, mcp, ChatContext, function_tool, RunContext
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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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from typing import Optional, List
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load_dotenv(os.path.join(os.path.dirname(__file__), '..', '..', '.env'))
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logger = logging.getLogger("gmail-agent")
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class GmailAgent(Agent):
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def __init__(self,
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chat_ctx: ChatContext,
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tools: Optional[List[function_tool]] = None) -> None:
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final_instructions = (
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"You are a Gmail specialist. You can manage emails by reading, searching, sending, and updating them (e.g., marking as read/unread, moving to folders). " +
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"Use tools like 'read_emails', 'send_email', and 'update_email' to interact with Gmail. " +
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"If sending an email, you might need a recipient; you know Gabin (gabin.fay@gmail.com). " +
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"If your task is complete or the user asks for something outside your email management capabilities (e.g., math, calendar), " +
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"you MUST use the 'delegate_to_router_agent' tool to return to 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_GMAIL_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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else:
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logger.warning("GUMLOOP_GMAIL_MCP_URL not set. Gmail agent may not have all its tools.")
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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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mcp_servers=mcp_servers_list,
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tools=all_tools
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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="alloy"),
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turn_detection=MultilingualModel(),
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)
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await session.start(agent=GmailAgent(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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