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exit_message.py
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70 lines (52 loc) · 1.89 KB
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"""
---
title: Exit Message
category: basics
tags: [exit, message, deepgram, openai, cartesia]
difficulty: beginner
description: Shows how to use the on_exit method to take an action when the agent exits.
demonstrates:
- Using the on_exit method to take an action when the agent exits
- Using function tools to end sessions gracefully
---
"""
import logging
from dotenv import load_dotenv
from livekit.agents import JobContext, JobProcess, Agent, AgentSession, AgentServer, cli, inference, function_tool
from livekit.plugins import silero
load_dotenv()
logger = logging.getLogger("exit-message")
logger.setLevel(logging.INFO)
class GoodbyeAgent(Agent):
def __init__(self) -> None:
super().__init__(
instructions="""
You are a helpful agent.
When the user wants to stop talking to you, use the end_session function to close the session.
"""
)
@function_tool
async def end_session(self):
"""When the user wants to stop talking to you, use this function to close the session."""
await self.session.drain()
await self.session.aclose()
async def on_exit(self):
await self.session.say("Goodbye!")
server = AgentServer()
def prewarm(proc: JobProcess):
proc.userdata["vad"] = silero.VAD.load()
server.setup_fnc = prewarm
@server.rtc_session()
async def entrypoint(ctx: JobContext):
ctx.log_context_fields = {"room": ctx.room.name}
session = AgentSession(
stt=inference.STT(model="deepgram/nova-3-general"),
llm=inference.LLM(model="openai/gpt-4.1-mini"),
tts=inference.TTS(model="cartesia/sonic-3", voice="9626c31c-bec5-4cca-baa8-f8ba9e84c8bc"),
vad=ctx.proc.userdata["vad"],
preemptive_generation=True,
)
await session.start(agent=GoodbyeAgent(), room=ctx.room)
await ctx.connect()
if __name__ == "__main__":
cli.run_app(server)