how can i know when the last audio frame was recei...
# ask-ai
a
how can i know when the last audio frame was received by a participant? i know playback.finished is the event to listen on agent side but i want reliability on when we received and finished playing audio
t
Thanks for reaching out, Sebastián. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I'd be happy to help! Could you please let me know if you're looking for a specific API or event in LiveKit that tracks the exact time when the last audio frame was received and finished playing? Also, it would be great to understand if you're working on this from the server-side or client-side. This will help me guide you better!
a
on the client side i mean, like in network lossy conditions, how can i know if we have received the last frame of audio
t
I'm glad you asked about how to tell if the last audio frame has reached the client, especially when dealing with tricky network conditions. Here are a couple of helpful ways you can check: • Keep an eye on the
is_final
Flag:
Each audio frame in LiveKit comes with an
is_final
flag. When you see this set to
True
, it means you've got the last frame of that audio segment. • Watch for the
AudioStreamEOS
Message:
This message pops up when the entire audio stream has wrapped up. It’s a dependable way to know the audio transmission has ended, even if the network isn’t perfect. By paying attention to these two signals, you’ll be able to confidently know when the last audio frame has been received and processed. If you have any more questions or need a hand with this, I’m here to help! Sources: livekit-agents/livekit/agents/voice/recorder_io/recorder_io.py | packages/livekit-rtc/src/proto/audio_frame_pb.ts | Runtime/Scripts/Proto/AudioFrame.cs | terminal-client/client.py | Bringing AI avatars to voice agents
a
how can i listen to this two in the python client sdk?
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!