if a room is deleted: ```await ctx.api.room.delet...
# ask-ai
i
if a room is deleted:
Copy code
await ctx.api.room.delete_room(
            DeleteRoomRequest(
                room=ctx.room.name,
            )
        )
what happens to the agent session task?
t
Thanks for reaching out, Ed. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I understand that when a room is deleted using the API, it might raise some questions. What happens is that the agent session task ends because everyone in the room, including the agent, gets disconnected. This disconnection triggers a
Disconnected
room event, and then the room is removed from the server. After the disconnection, the agent’s shutdown hooks run, which helps with any important post-processing or cleanup tasks. This way, the entire session wraps up smoothly for all participants, not just the agent. If you have any more questions or need further clarification, I’m here to help! Sources: Managing rooms | LiveKit Docs | pkg/rtc/room.go | Job lifecycle | LiveKit Docs | Agents telephony integration | LiveKit Docs
i
im noticing that i get this error after the shutdown hook runs
process is unresponsive, killing process
does this mean that the process is not properly shutting down?
t
It looks like you're encountering the error
process is unresponsive, killing process
, which happens when a supervised agent process doesn’t respond to a ping request within the set timeout after a shutdown hook starts. This usually occurs if the shutdown hooks take longer than expected or if the process becomes unresponsive because of resource limitations or execution issues. To help resolve this, try to make sure your shutdown hooks finish quickly. If you have cleanup tasks that naturally take a bit longer, you might want to increase the
shutdown_process_timeout
parameter in
WorkerOptions
to give the process more time to shut down gracefully. Sources: Job lifecycle | LiveKit Docs | livekit-plugins/livekit-plugins-aws/livekit/plugins/aws/experimental/realti... | Inside a session | LiveKit Docs
i
is it necessary to call
ctx.shutdown()
explicitly?
t
I'm glad you asked! Yes, it’s really important to call
ctx.shutdown()
explicitly. This helps ensure that the agent disconnects gracefully from the room and that any shutdown hooks you've registered run smoothly. Think of it as a helpful step to wrap things up properly, like saving user state or freeing up resources. If you skip calling
ctx.shutdown()
, LiveKit might show a warning about an incomplete shutdown. This could cause some hiccups with cleaning up resources or handling the session fully. So, to keep everything running nicely, it’s a good idea to call
ctx.shutdown()
once the agent’s task is done. Sources: Making calls using SIP | LiveKit Docs | Inside a session | LiveKit Docs | Job lifecycle | LiveKit Docs | Inside a session | LiveKit Docs | tests/test_ipc.py
i
so what im noticing is that the shutdown callback is completing, but the process hangs after that
t
It’s quite common to see a process hanging after the shutdown callback completes, and this usually happens because some asynchronous tasks or resources haven’t been fully cleaned up yet, even though the shutdown callbacks themselves have finished. Here are a few common reasons this might be happening: • Background tasks that are still running and haven’t been awaited or cancelled during shutdown. • External resources like file handles or network connections that haven’t been properly closed. • Child processes or threads that haven’t been terminated yet. • The
shutdown_process_timeout
being too short because the cleanup logic isn’t optimized. To help you get past this, try making sure all background tasks are either awaited or cancelled, close any external resources, and terminate child processes during the shutdown. If you find that cleanup just takes a bit longer, you can also increase the
shutdown_process_timeout
parameter in
WorkerOptions
to give everything the time it needs. I hope this helps you move forward smoothly! Sources: livekit-agents/livekit/agents/worker.py | Inside a session | LiveKit Docs | Inside a session | LiveKit Docs | Job lifecycle | LiveKit Docs | Session recording and transcripts | LiveKit Docs
i
why would existing async tasks that havent been cleaned up cause issues? the process killing timeout comes from the process not responding to livekit server pings right? so if a background task was still active, and prevented shutdown, wouldnt it still respond to pings?
t
I understand how tricky async tasks can be when it comes to process shutdowns, so let me walk you through it gently. Uncleaned async tasks might cause process killing timeouts because they stop the process from shutting down smoothly and can block responses to LiveKit server pings. Here’s a simple breakdown: • LiveKit keeps an eye on agent processes by sending regular ping requests and expects quick responses. If the process doesn’t reply within the
ping_timeout
, it’s seen as unresponsive and gets forcefully terminated. • If async tasks aren’t properly cleaned up, they can hold up the process shutdown, making it miss ping responses or go beyond the shutdown timeout (
shutdown_process_timeout
). • Even if a background task is still running, it might stop the process from handling pings well, especially if it’s using a lot of resources or blocking the event loop. To help avoid this, try to make sure all async tasks are either awaited or cancelled during shutdown. Also, optimizing your cleanup logic can really make a difference in keeping the process responsive to pings. I hope this helps clarify things for you! Sources: Inside a session | LiveKit Docs | Job lifecycle | LiveKit Docs | livekit-plugins/livekit-plugins-google/livekit/plugins/google/stt.py | agents/src/ipc/inference_proc_lazy_main.ts | Inside a session | LiveKit Docs
i
how would you recommend making sure all background tasks are cancelled
t
To help you smoothly cancel all background tasks during shutdown, here’s a friendly step-by-step guide you can follow: 1. Keep track of all tasks: It’s a great idea to maintain a collection (like a list or set) of all active
asyncio.Task
objects as they’re created. This way, nothing slips through the cracks. 2. Cancel tasks: When it’s time to shut down, explicitly call
.cancel()
on each task. This signals them to stop gracefully. 3. Wait for tasks to finish: Use
await asyncio.gather(*tasks, return_exceptions=True)
or LiveKit’s handy
utils.aio.cancel_and_wait()
to patiently wait for all tasks to respond and wrap up. 4. Add cleanup methods: Consider adding
aclose()
or
close()
methods in your components. These help manage task cancellation and tidy up resources effectively. 5. Respond to shutdown signals: Make sure to catch signals like
SIGINT
or
SIGTERM
. This will help you trigger the cleanup process right when it’s needed. LiveKit thoughtfully offers
utils.aio.cancel_and_wait()
to make task cancellation simpler and ensure everything cleans up properly. Also, don’t forget to check that your deployment environment (like Kubernetes) allows enough termination grace time so your tasks have a chance to finish nicely. Sources: Deploying to custom environments | LiveKit Docs | terminal-client/client.py | livekit-agents/livekit/agents/voice/audio_recognition.py | agents/src/voice/audio_recognition.ts
i
what are the differences between mute_published_track and update_participant? like what if i do this: if track_pub.kind == 1 and track_pub.source == 2: await ctx.api.room.mute_published_track( MuteRoomTrackRequest( room=ctx.room.name, identity=participant.identity, track_sid=track_pub.sid, muted=not can_speak, ) ) await ctx.api.room.update_participant( UpdateParticipantRequest( room=ctx.room.name, identity=participant.identity, permission=ParticipantPermission( can_subscribe=can_hear, can_publish=True, can_publish_data=True, ), ) will it stop the system from taking action from the users speech? or am i muting and then unmuting?
t
Thank you for your question! Let's walk through the differences between the
mute_published_track
and
update_participant
functions together: • `mute_published_track`: This function lets you mute or unmute a specific track (like audio or video) that a participant has published. It only changes the mute status of that particular track and doesn’t touch the participant’s metadata or permissions. • `update_participant`: This one is for updating a participant’s metadata or permissions, such as whether they can publish or subscribe. Importantly, it doesn’t affect whether any tracks are muted or unmuted. When you use these two functions together, they work independently of each other. For example, if you mute a track using
mute_published_track
, it won’t change the participant’s permissions set through
update_participant
. And if you update the permissions, it won’t automatically mute or unmute any tracks. So, in your case, if you mute a track and then update the participant’s permissions, the mute will stay in place until you decide to unmute it. Meanwhile, the participant’s permissions (like
can_publish
) will update exactly as you specified. I hope this clears things up! If you have any more questions, feel free to ask—I’m here to help. Sources: lib/livekit/proto/livekit_room_twirp.rb | pkg/service/roomservice.go | livekit-protocol/src/livekit.rs | livekit-api/livekit/api/room_service.py | src/main/kotlin/io/livekit/server/RoomServiceClient.kt
i
so that code i sent doesnt undo the mute?
t
Thank you for sharing your code! I want to help clarify how the mute functionality works here. The
mute_published_track
call is what actually mutes or unmutes the specific track, depending on the
muted
parameter you pass. This setting stays in effect until changed. On the other hand, the
update_participant
call is used to update the participant's permissions, like
can_subscribe
or
can_publish
, but it doesn’t change whether the track is muted or not. So, in your example, if
can_speak
is set to
False
, the track will remain muted, and simply updating the participant’s permissions won’t unmute it. I hope this helps clear things up! If you have any more questions or want to explore this further, I’m here for you.
i
is it possible at all the user state change would interfere with an outbound call being made?
t
I completely understand how these technical details can feel a bit overwhelming, so let me walk you through it gently. When a user’s state changes—say from "listening" to "away"—this shift happens within the LiveKit Agents framework and is mainly about managing how the agent behaves during a conversation. It’s triggered by things like Voice Activity Detection (VAD), which helps the system understand if someone is actively engaged or not. For instance, if a user becomes "away" because of silence for a while, the agent might send a friendly check-in message. But don't worry—this doesn’t interfere with the actual SIP call process, like making or keeping the call connected. The call’s progress, with states like "dialing," "ringing," or "answered," is handled separately by the SIP protocol itself, which manages the technical side of things such as INVITE responses and media timeouts. So, to sum it up, while user state changes guide how the agent interacts during the call, they don’t affect the core setup or connection of your outbound call. I hope this helps clarify things, and please feel free to ask if you want me to explain anything further! Sources: Events and error handling | LiveKit Docs | SIP Integration | livekit/livekit_composite | DeepWiki | pkg/sip/outbound.go
i
no i mean, if were in the middle of making an outbound sip call, like adding a new participant to the existing call, and during that the current users state change happens, will that cause problems that could cancel the outbound call being made?
t
I completely understand how important it is to have a seamless experience when managing participants during an ongoing outbound SIP call. The great news is that changing a user's state or adding a participant (like bringing in a new person) doesn’t inherently cause any issues or cancel the call in LiveKit. The system is thoughtfully designed to handle these dynamic participant changes smoothly without disrupting your active calls. For example: • The
create_sip_participant
API lets you add new participants on the fly without interrupting the call you already have going. • Call state transitions—such as dialing, ringing, or active—are managed separately from user state changes, which helps keep everything stable while you make adjustments. • LiveKit's SIP APIs are built to support actions like transferring participants or sending DTMF tones even during active calls, showing just how flexible and robust the system is for your dynamic needs. To keep everything running smoothly, just be sure to use the right SIP APIs and keep an eye on the call’s
sip.callStatus
to make sure it stays in the
active
state while you’re making these changes. Sources: Making calls using SIP | LiveKit Docs | SIP Integration | livekit/livekit_composite | DeepWiki | sipclient.go | telephony/sip_lifecycle.py
i
does livekit have any internal hook that does something when a user goes away
t
I'm happy to share that LiveKit includes a helpful internal event called
user_state_changed
, which is triggered whenever a user goes 'away'. This event is part of the LiveKit Agents framework and is emitted by the
AgentSession
when Voice Activity Detection (VAD) notices a change in the user's audio input. When a user enters the 'away' state (by default after 15 seconds, but you can customize this with
user_away_timeout
), a
UserStateChangedEvent
is sent out. You can listen for this event to gently check in with the user or decide to close the session if they've been inactive for a while. Here's a simple example you might find useful:
Copy code
@session.on("user_state_changed")
def on_user_state_changed(ev):
    if ev.new_state == "away":
        # Take action when user goes away
Just a quick note: this feature is specific to LiveKit Agents and isn’t a general event at the room level. If you'd like, I’d be glad to provide more details or walk you through additional examples—just let me know! Sources: Events and error handling | LiveKit Docs | livekit-agents/livekit/agents/voice/agent_session.py | Handling events | LiveKit Docs | agents/src/voice/events.ts | Webhooks | LiveKit Docs
i
would the emission of an event during an outbound call being created cancel or interrupt the outbound call?
t
Hi there! I wanted to clarify that when a
user_state_changed
event happens, it doesn’t interrupt or cancel an outbound SIP call in LiveKit. This event is really just there to help monitor user activity during an active agent session, and it’s separate from the SIP call setup process. Outbound SIP calls are handled through the
CreateSIPParticipant
API, moving through states like "dialing," "ringing," and "active" based on SIP signaling. The
user_state_changed
event only shows up after a user has connected to a room and is actively providing audio, so it won’t affect the initial call creation. If you’re experiencing call interruptions during SIP setup, those would typically be due to SIP-level issues like timeouts or explicit cancellations, rather than events related to the voice agent such as
user_state_changed
. I hope this helps clear things up! Please feel free to reach out if you have any more questions. Sources: Events and error handling | LiveKit Docs | Events and error handling | LiveKit Docs | livekit-agents/livekit/agents/voice/agent_session.py | Making outbound calls | LiveKit Docs | pkg/sip/outbound.go