{"message": "job executor is unresponsive", "level...
# ask-ai
c
{"message": "job executor is unresponsive", "level": "WARNING", "name": "livekit.agents", "delay": 733, "tid": 1412, "job_id": "AJ_KW3B7dYcVSd5", "timestamp": "2025-09-20T182142.724645+00:00"}
t
Thanks for reaching out, Hai. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
It looks like you're seeing the warning "job executor is unresponsive," which usually means there's a delay in communication between the main worker process and the job executor process or thread. This can happen if the delay goes beyond the set threshold (which is 500 milliseconds by default). Don't worry—here are some friendly steps to help you work through this: 1. Check for blocking operations: Try to make sure your job executor code isn’t running any CPU-heavy or blocking tasks. For example, if you're using Python, swapping out
time.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