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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Shannon Sands 2025-05-23 13:31:13 +10:00
parent 945ea30c3a
commit e85a170c34
53 changed files with 85 additions and 0 deletions

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import logging
import os
from dotenv import load_dotenv
from pathlib import Path
from livekit.agents import Agent, AgentSession, JobContext, WorkerOptions, cli, mcp, ChatContext, function_tool, RunContext
from livekit.plugins import deepgram, openai, silero
from livekit.plugins.turn_detector.multilingual import MultilingualModel
from typing import Optional, List
load_dotenv(os.path.join(os.path.dirname(__file__), '..', '..', '.env'))
logger = logging.getLogger("contact-agent")
class ContactAgent(Agent):
def __init__(self,
chat_ctx: ChatContext,
tools: Optional[List[function_tool]] = None) -> None:
final_instructions = (
"You are a Contact specialist. You can help find contact information such as phone numbers, email addresses, or other details for individuals. " +
"You can also add new contacts or update existing ones if tools like 'get_contact_details', 'add_contact', 'update_contact' are available. " +
"If your task is complete or the user asks for something outside your contact management capabilities (e.g., math, web search), " +
"you MUST use the 'delegate_to_router_agent' tool to return to the main assistant."
)
all_tools = tools if tools is not None else []
mcp_servers_list = []
zapier_mcp_url = os.getenv("ZAPIER_CONTACT_MCP_URL")
if zapier_mcp_url:
mcp_servers_list.append(
mcp.MCPServerHTTP(
url=zapier_mcp_url,
timeout=5,
client_session_timeout_seconds=5,
)
)
else:
logger.warning("ZAPIER_CONTACT_MCP_URL not set. Contact agent may not have all its tools.")
super().__init__(
instructions=final_instructions,
chat_ctx=chat_ctx,
allow_interruptions=True,
mcp_servers=mcp_servers_list,
tools=all_tools
)
async def on_enter(self):
self.session.generate_reply()
async def entrypoint(ctx: JobContext):
await ctx.connect()
session = AgentSession(
vad=silero.VAD.load(),
stt=deepgram.STT(model="nova-3", language="multi"),
llm=openai.LLM(model="gpt-4o-mini"),
tts=openai.TTS(voice="alloy"),
turn_detection=MultilingualModel(),
)
await session.start(agent=ContactAgent(chat_ctx=session._chat_ctx), room=ctx.room)
if __name__ == "__main__":
cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))