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I am using livekit and want to dynamically generat...
# ask-ai
h
I am using livekit and want to dynamically generate the first thing that the LLM says (the greeting) instead of a "fixed" greeting. How do I do that?
t
Thanks for reaching out, Nancy. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To dynamically generate the first greeting in LiveKit using an LLM, you can use the 
generate_reply()
method within specific lifecycle hooks or at key points in the agent’s entry logic. Here are some approaches to help you get started: • Using 
on_enter()
Lifecycle Hook: You can override the 
on_enter()
method in a custom agent class. For example:
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async def on_enter(self):
    await self.session.generate_reply(instructions="Greet the user with a warm welcome and offer assistance.")
• Calling 
generate_reply()
After `session.start()`: Another way is to trigger the greeting right after starting the session:
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await session.start(agent=Agent(instructions="You are a helpful assistant."), room=ctx.room)
await session.generate_reply(instructions="Greet the user and offer your assistance.")
• Personalizing the Greeting: You can make the greeting more personal by injecting user-specific data into the chat context before generating the reply:
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user_name = metadata["user_name"]
initial_ctx = ChatContext()
initial_ctx.add_message(role="assistant", content=f"The user's name is {user_name}.")

await session.start(room=ctx.room, agent=Assistant(chat_ctx=initial_ctx))
await session.generate_reply(instructions="Greet the user by name and offer your assistance.")
These methods are designed to help you create dynamic and context-aware greetings. If you have any questions or need a hand with anything else, just let me know—I’m here to help! Sources: livekit-agents/README.md | agent.py | External data and RAG | LiveKit Docs | Docs::Agents | Testing and evaluation | LiveKit Docs
h
generate_reply sometimes crashes. Why is that?
t
I'm here to help you understand why the 
generate_reply
method in LiveKit might crash, and we can work through it together. Common reasons include: • AgentSession not running: This happens if 
generate_reply
is called before the session starts or after it has closed, which leads to a 
RuntimeError
. • AgentSession is closing: Calling 
generate_reply
while the session is in the process of closing can also trigger a 
RuntimeError
. • No LLM model configured: If your agent doesn’t have an assigned LLM model, the method won’t work properly. • Timeouts: Sometimes, if the method doesn’t get a response within the expected time (like 5 seconds), it can time out. • Compatibility issues: Using 
allow_interruptions=False
together with server-side turn detection enabled might cause unexpected behavior. To keep things running smoothly, make sure your session is active, the LLM model is set up correctly, and avoid combining incompatible settings. If you’re facing a specific error, please don’t hesitate to reach out—I’m here to help you troubleshoot it! Sources: examples/voice_agents/realtime_load_chat_history.py | agents/src/voice/agent_session.ts
h
It speaks the message, but then it detaches the input source and shuts down AgentSession.
t
Thank you for sharing the details! The behavior you’re seeing—where the input source gets detached and the 
AgentSession
shuts down—is actually not caused directly by 
generate_reply
. What’s happening is part of the session’s 
close()
process, which carefully detaches audio inputs, clears streams, and shuts down resources to make sure everything is cleaned up properly. If 
generate_reply
is called while the session is already in the middle of closing (like during a shutdown or draining phase), it might fail or redirect to a pending activity if one is available. This is a protective step to prevent new actions from starting while things are winding down. To help avoid this, it’s best to make sure the session is fully active and not closing when you call 
generate_reply
. If you’d like, I’m here to help you figure out why the session might be closing unexpectedly—just let me know! Sources: agents/src/voice/agent_activity.ts | tests/test_agent_session.py
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