I'm glad you're looking to wait until the user finishes speaking before releasing the handle when using

generate_reply

. Let me guide you through how you can do this smoothly with LiveKit's turn detection features: • Use Turn Detection: LiveKit is designed to automatically recognize when a user has finished speaking by using Voice Activity Detection (VAD) or a turn detection model. The

on_user_turn_completed

callback is your go-to spot—it gets triggered right when the user's turn is done. This is the perfect moment to call

generate_reply

. • Configure Turn Detection: You have the flexibility to tweak settings like

min_endpointing_delay

(which defaults to 0.5 seconds) to make the detection just right for your needs. For example:

session = AgentSession(turn_detection="vad", min_endpointing_delay=0.5)

• Call

generate_reply

After Turn Completion: Simply use the

on_user_turn_completed

event to kick off the reply generation. Here's a handy example:

@session.on("user_turn_completed")
async def on_user_turn_completed(chat_ctx, user_message):
    handle = session.generate_reply(instructions="Respond naturally.")
    await handle

• Wait for Agent Playback: If you want to make sure the agent finishes speaking before moving on, just use the

SpeechHandle

returned by

generate_reply

and call

await handle

. By following these steps, you'll be able to create a smooth and natural conversation flow in your app. If you have any questions or need further help, feel free to ask—I'm here to support you! Sources: How does end-of-utterance detection work in conversations? | VoicePipelineAgent | LiveKit Docs | livekit-agents/livekit/agents/voice/speech_handle.py | Voice activity detection (VAD) parameters | LiveKit Docs | Agent speech and audio | LiveKit Docs