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# ask-ai
s
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t
Thanks for reaching out, Aditya. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The auto-hangup feature in LiveKit allows calls to be automatically ended under certain conditions. This can include automatically closing the session when a participant disconnects or using silence detection to end calls after a period of inactivity, such as for voicemail detection. Additionally, agents can manually initiate hangups with the
hangup_call()
function. These mechanisms together provide auto-hangup functionality in LiveKit. If you need specific details or implementation help for your use case, please let me know. Sources: Agents telephony integration | LiveKit Docs | tests/test_agent_session.py | How to detect and handle silence during calls
a
yes I need a simple implementation of this
t
Hey there! 👋 Implementing an auto-hangup in LiveKit is totally doable, and I've got two awesome approaches to share with you. 1. Using
hangup_call()
to manually end the call: - We'll import LiveKit modules. - Create a friendly async hangup_call() function that wraps up the call smoothly. - You can even customize this to trigger exactly when you want. Example snippet:
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async def hangup_call():
    ctx = get_job_context()
    if ctx is None:
        return
    await ctx.api.room.delete_room(api.DeleteRoomRequest(room=ctx.room.name))
2. Using silence detection to auto hangup after inactivity: - Keep an eye on user speech with a gentle timer. - If things get quiet for too long, we'll gracefully end the call. Example snippet:
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SILENCE_THRESHOLD = 5  # seconds

async def monitor_interaction():
    while True:
        if time.time() - user_last_spoke_time > SILENCE_THRESHOLD:
            await hangup_call()
        await asyncio.sleep(1)
Pro tip: You can totally mix and match these methods for super smooth call management! Want to dive deeper? I'd be happy to walk you through more specific code examples or help you set this up just right. Just let me know! 😊