steep-balloon-41261
03/16/2026, 11:53 AMtall-airline-16756
03/16/2026, 11:53 AMtall-airline-16756
03/16/2026, 11:54 AMasyncio.wait_for(..., timeout=...) or equivalent so a single stuck cleanup won’t block everything.
◦ Catch and log exceptions/timeouts inside the callback so you can see what step timed out.
1. Make cleanup idempotent and quick:
◦ Close network connections and cancel background tasks early, then perform any slower cleanup asynchronously or off the hot path.
1. Add more shutdown logging:
◦ Log entry/exit for each step in your shutdown callback so you can pinpoint which step never completed next time.
1. Investigate the signal_event / pc_state failures:
◦ Those upstream WebRTC failures likely triggered the shutdown. Make sure your connection error handling doesn’t block shutdown (e.g., waiting indefinitely for remote responses).
If you’d like, I can help with the next step:
• Review the shutdown callback code (paste it here) and point out any blocking calls and where to add timeouts.
• Identify the exact place your process manager sets the kill/timeout if you tell me how the process is launched or which server options you use.
Would you like me to inspect the shutdown callback code or the process manager / server options next?
Sources: Server options | LiveKit Documentation | livekit-agents/livekit/agents/worker.pycalm-oyster-84545
03/16/2026, 11:56 AMtall-airline-16756
03/16/2026, 11:57 AMuser_input_transcribed) or write them to a file or external service. Check your agent logs or the agent’s storage location for saved transcript files.
• If your agent was configured to forward transcripts as data messages / text streams (lk.transcription), clients may have received them in real time — check client-side logs or the server that the agent forwarded to.
2) Agent Observability (LiveKit Cloud)
• If Agent Observability was enabled for the session, transcripts and session data may be stored and viewable/downloadable from the observability interface (Transcript tab with synchronized audio playback and logs). Check your LiveKit Cloud observability for that room/job id.
3) Recording (Egress) + external STT
• If no agent was present, but you recorded the call via Universal Egress (track egress or other egress), you can:
◦ Retrieve the recorded audio file from your configured storage (S3/GCS).
◦ Run that audio through an STT service (e.g., Whisper, Google STT, Deepgram) to produce transcripts.
Practical checks to run now
• Look up the job_id (AJ_aHkG2Df5XfPM) / room_id (RM_PVkea4QHX9r8) in your agent logs and observability dashboard.
• Check whether an agent process for that job emitted user_input_transcribed events or wrote transcript files.
• Verify if any egress/recording was started for that room and where the output was stored.
If you want, I can:
• Walk you through retrieving transcripts from agent logs or the observability UI if you confirm Agent Observability was enabled.
• Provide the exact steps to download egress files from your storage and run them through an STT pipeline if you recorded the call.
• Review any agent code or config you paste here to point out where transcripts are written or forwarded.
Which path should I help with — agent transcripts, observability lookup, or recorded-audio processing?
Sources: Transcriber | LiveKit Documentation | Streamline troubleshooting with Agent Observability | LiveKit | Universal Egress | LiveKit | Text and transcriptions | LiveKit Documentation