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

environments/community/router_env/engine/agents/caller_agent.py

@@ -0,0 +1,76 @@
+import logging
+import os
+from dotenv import load_dotenv
+from pathlib import Path
+from livekit.agents import Agent, AgentSession, JobContext, WorkerOptions, cli, mcp, ChatContext, RunContext, function_tool
+from livekit.plugins import deepgram, openai, silero
+from livekit.plugins.turn_detector.multilingual import MultilingualModel
+import random
+from typing import Optional, List
+
+load_dotenv(os.path.join(os.path.dirname(__file__), '..', '..', '.env'))
+
+from livekit import api
+logger = logging.getLogger("caller-agent")
+
+class CallerAgent(Agent):
+    def __init__(self, 
+                 chat_ctx: ChatContext,
+                 tools: Optional[List[function_tool]] = None) -> None:
+        
+        final_instructions = (
+                "You are a Caller specialist. Your primary function is to initiate phone calls. " +
+                "If the user asks to call someone, use the 'make_phone_call' tool. " +
+                "Currently, you can only call a predefined contact (Sam at +16467085301). Confirm with the user if they want to call this specific contact. " +
+                "If your task is complete or the user asks for something outside your calling capabilities (e.g., math, web search), " +
+                "you MUST use the 'delegate_to_router_agent' tool to return to the main assistant."
+            )
+        
+        agent_tools = [self.make_phone_call] 
+        all_tools = agent_tools + (tools if tools is not None else [])
+
+        super().__init__(
+            instructions=final_instructions,
+            chat_ctx=chat_ctx,
+            allow_interruptions=True,
+            tools=all_tools
+        )
+        self.lkapi = api.LiveKitAPI()
+
+    async def on_enter(self):
+        self.session.generate_reply()
+    
+
+    @function_tool
+    async def make_phone_call(self, context: RunContext, phone_number: str):
+        """
+        Call this function to make a phone call to a user number.
+        Args:
+            phone_number: The phone number to call.
+        """
+        await self.lkapi.agent_dispatch.create_dispatch(
+        api.CreateAgentDispatchRequest(
+        agent_name="my-telephony-agent", 
+        room=f"outbound-{''.join(str(random.randint(0, 9)) for _ in range(10))}",
+            metadata='{"phone_number": "+16467085301"}' #HARDCODED
+        )
+    )
+        
+
+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="ash"),
+        turn_detection=MultilingualModel(),
+    )
+
+    await session.start(agent=CallerAgent(chat_ctx=session._chat_ctx), room=ctx.room)
+
+
+if __name__ == "__main__":
+    cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint,
+                              agent_name="mcp-agent"))