clever-apartment-50437
09/20/2025, 6:23 PMtall-airline-16756
09/20/2025, 6:23 PMtall-airline-16756
09/20/2025, 6:23 PMtime.sleep() for asyncio.sleep() can make things smoother.
2. Keep an eye on resource usage: Take a look at your CPU and memory usage. If they’re running high, it might help to optimize any memory-heavy parts and peek at your logs to catch any warnings that could give clues.
3. Speed up initialization: If your job takes a while to start, see if you can make that process quicker. Alternatively, you might want to increase the initialize_process_timeout (which defaults to 10 seconds) to give it a bit more breathing room.
4. Make sure connections happen quickly: Double-check that job_ctx.connect() is called within 10 seconds after the entrypoint starts, so everything stays on track.
5. Watch the worker load: Keep an eye on how busy your worker is. If it’s consistently over the threshold (default is 0.7), scaling your deployment might be a good idea.
If any of these steps feel tricky or if you'd like me to walk you through specific settings, please don’t hesitate to ask. I’m here to help!
Sources: livekit-agents/livekit/agents/ipc/job_executor.py | agents/src/job.ts