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01db28c
1
Parent(s):
d155731
Realtime Flow
Browse files- src/agent_session/main.py +158 -56
src/agent_session/main.py
CHANGED
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@@ -1,8 +1,5 @@
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#!/usr/bin/env python3
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"""
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Agent Session for Avurna Flow (Corrected based on Hume Docs)
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"""
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import asyncio
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import os
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@@ -21,26 +18,56 @@ from livekit.plugins.google import LLM as GoogleLLM
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from livekit.plugins.groq import STT
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from livekit.plugins.hume import TTS, VoiceByName, VoiceProvider
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from livekit.plugins.silero import VAD
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from src.agent_session.constants import SYSTEM_PROMPT, GREETING_INSTRUCTIONS
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from src.utils import validate_env_vars
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#
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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app = FastAPI(lifespan=lifespan)
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origins = ["*"]
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app.add_middleware(
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class JoinRoomRequest(BaseModel):
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room_name: str
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agent_token: str
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async def send_agent_state(room: Room, state: str):
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try:
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msg = json.dumps({"type": "agent_state", "state": state})
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await room.local_participant.publish_data(msg)
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@@ -52,70 +79,120 @@ class VoiceAssistant(Agent):
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def __init__(self):
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super().__init__(instructions=SYSTEM_PROMPT)
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"""
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# Voice-activity detection + buffering for non-streaming STT
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vad = VAD.load(
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min_speech_duration=0.1,
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min_silence_duration=0.5
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)
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session = AgentSession(
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vad=vad,
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stt=StreamAdapter(
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stt=STT(
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model="whisper-large-v3-turbo",
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language="en",
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),
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vad=vad,
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),
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llm=GoogleLLM(
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model="gemini-2.5-flash",
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temperature=0.5,
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),
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tts=
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voice=VoiceByName(
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name="Male English Actor",
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provider=VoiceProvider.hume,
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),
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instant_mode=True
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),
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)
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await session.generate_reply(instructions=GREETING_INSTRUCTIONS)
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# Keep the session alive by waiting for it to complete
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# The session will run until the room is disconnected
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try:
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#
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await
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# Custom entrypoint for FastAPI integration
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async def run_agent_with_room(room_name: str, agent_token: str):
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"""
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"""
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livekit_url = os.getenv("LIVEKIT_URL")
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# Create a mock JobContext for the specific room
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class MockJobContext:
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def __init__(self, room_name: str, agent_token: str):
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self.room_name = room_name
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self.agent_token = agent_token
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self.room = Room()
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async def connect(self):
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await self.room.connect(livekit_url, self.agent_token)
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ctx = MockJobContext(room_name, agent_token)
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try:
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await entrypoint(ctx)
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print(f"FATAL ERROR in agent session: {e}")
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print(traceback.format_exc())
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finally:
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await ctx.
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@app.post("/join-room")
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async def join_room(req: JoinRoomRequest, background_tasks: BackgroundTasks):
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async def root():
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return {"status": "avurna_agent_server_online"}
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if __name__ == "__main__":
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#!/usr/bin/env python3
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"""Agent Session for Avurna Flow (Fixed HTTP Session Management)"""
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import asyncio
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import os
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from livekit.plugins.groq import STT
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from livekit.plugins.hume import TTS, VoiceByName, VoiceProvider
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from livekit.plugins.silero import VAD
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from src.agent_session.constants import SYSTEM_PROMPT, GREETING_INSTRUCTIONS
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from src.utils import validate_env_vars
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# Global HTTP session for the entire application
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_global_http_session: aiohttp.ClientSession | None = None
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async def get_http_session() -> aiohttp.ClientSession:
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"""Get or create the global HTTP session"""
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global _global_http_session
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if _global_http_session is None or _global_http_session.closed:
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_global_http_session = aiohttp.ClientSession()
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return _global_http_session
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async def cleanup_http_session():
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"""Clean up the global HTTP session"""
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global _global_http_session
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if _global_http_session and not _global_http_session.closed:
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await _global_http_session.close()
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_global_http_session = None
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# FastAPI app setup with proper lifecycle management
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Startup: Initialize the global HTTP session
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await get_http_session()
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print("HTTP session initialized")
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yield
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# Shutdown: Clean up the HTTP session
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await cleanup_http_session()
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print("HTTP session cleaned up")
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app = FastAPI(lifespan=lifespan)
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origins = ["*"]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"]
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)
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class JoinRoomRequest(BaseModel):
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room_name: str
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agent_token: str
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async def send_agent_state(room: Room, state: str):
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"""Send agent state to the room"""
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try:
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msg = json.dumps({"type": "agent_state", "state": state})
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await room.local_participant.publish_data(msg)
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def __init__(self):
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super().__init__(instructions=SYSTEM_PROMPT)
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class CustomJobContext:
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"""Custom JobContext that properly manages the room connection"""
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def __init__(self, room_name: str, agent_token: str):
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self.room_name = room_name
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self.agent_token = agent_token
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self.room = Room()
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self._connected = False
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async def connect(self):
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"""Connect to the LiveKit room"""
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if not self._connected:
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livekit_url = os.getenv("LIVEKIT_URL")
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if not livekit_url:
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raise ValueError("LIVEKIT_URL environment variable not set")
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await self.room.connect(livekit_url, self.agent_token)
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self._connected = True
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print(f"Connected to room: {self.room_name}")
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async def disconnect(self):
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"""Disconnect from the LiveKit room"""
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if self._connected:
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await self.room.disconnect()
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self._connected = False
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print(f"Disconnected from room: {self.room_name}")
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async def create_agent_session(ctx: CustomJobContext) -> AgentSession:
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"""Create and configure the agent session with proper HTTP session management"""
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# Get the global HTTP session
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http_session = await get_http_session()
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# Voice-activity detection + buffering for non-streaming STT
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vad = VAD.load(
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min_speech_duration=0.1,
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min_silence_duration=0.5
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)
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# Create TTS with explicit HTTP session
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tts = TTS(
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voice=VoiceByName(
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name="Male English Actor",
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provider=VoiceProvider.hume,
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),
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instant_mode=True,
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# Pass the HTTP session to avoid the context error
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session=http_session
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)
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# Create the agent session
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session = AgentSession(
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vad=vad,
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stt=StreamAdapter(
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stt=STT(
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model="whisper-large-v3-turbo",
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language="en",
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vad=vad,
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),
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llm=GoogleLLM(
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model="gemini-2.5-flash",
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temperature=0.5,
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),
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tts=tts,
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)
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return session
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async def entrypoint(ctx: CustomJobContext) -> None:
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"""Configure and run STT, LLM, and TTS in a LiveKit session"""
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try:
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# Connect to the room
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await ctx.connect()
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# Send initial state
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await send_agent_state(ctx.room, "listening")
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# Create the agent session
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session = await create_agent_session(ctx)
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# Start the session
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await session.start(agent=VoiceAssistant(), room=ctx.room)
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# Send greeting state
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await send_agent_state(ctx.room, "thinking")
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# Generate greeting
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await session.generate_reply(instructions=GREETING_INSTRUCTIONS)
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# Back to listening
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await send_agent_state(ctx.room, "listening")
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# Keep the session alive
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print("Agent session started successfully, waiting for interactions...")
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# Monitor room connection and keep alive
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while ctx.room.connection_state.name in ['CONNECTED', 'CONNECTING']:
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await asyncio.sleep(1)
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print("Room disconnected, ending agent session")
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except Exception as e:
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print(f"Error in agent session: {e}")
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print(traceback.format_exc())
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await send_agent_state(ctx.room, "error")
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finally:
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# Clean up
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await ctx.disconnect()
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async def run_agent_with_room(room_name: str, agent_token: str):
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"""Run the agent in a specific room"""
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ctx = CustomJobContext(room_name, agent_token)
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try:
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await entrypoint(ctx)
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print(f"FATAL ERROR in agent session: {e}")
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print(traceback.format_exc())
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finally:
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await ctx.disconnect()
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@app.post("/join-room")
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async def join_room(req: JoinRoomRequest, background_tasks: BackgroundTasks):
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async def root():
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return {"status": "avurna_agent_server_online"}
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@app.get("/health")
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async def health():
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"""Health check endpoint"""
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global _global_http_session
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session_status = "healthy" if _global_http_session and not _global_http_session.closed else "needs_init"
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return {
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"status": "healthy",
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"http_session": session_status,
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"timestamp": asyncio.get_event_loop().time()
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}
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if __name__ == "__main__":
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# Validate required environment variables
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required_vars = [
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"HUME_API_KEY",
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"LIVEKIT_URL",
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"LIVEKIT_API_KEY",
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"LIVEKIT_API_SECRET",
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"GROQ_API_KEY",
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"GOOGLE_API_KEY"
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]
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validate_env_vars(required_vars)
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print("Starting Avurna Agent Server...")
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print("Required environment variables validated")
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uvicorn.run(app, host="0.0.0.0", port=7860)
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