{"message": "error initializing process", "level":...
# ask-ai
b
{"message": "error initializing process", "level": "ERROR", "name": "livekit.agents", "exc_info": "Traceback (most recent call last):\n File \"/usr/local/lib/python3.11/asyncio/tasks.py\", line 500, in wait_for\n return fut.result()\n ^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/site-packages/livekit/agents/ipc/channel.py\", line 47, in arecv_message\n return _read_message(await dplx.recv_bytes(), messages)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/site-packages/livekit/agents/utils/aio/duplex_unix.py\", line 35, in recv_bytes\n len_bytes = await self._reader.readexactly(4)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/streams.py\", line 750, in readexactly\n await self._wait_for_data('readexactly')\n File \"/usr/local/lib/python3.11/asyncio/streams.py\", line 543, in _wait_for_data\n await self._waiter\nasyncio.exceptions.CancelledError\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/usr/local/lib/python3.11/site-packages/livekit/agents/ipc/proc_pool.py\", line 167, in _proc_spawn_task\n await proc.initialize()\n File \"/usr/local/lib/python3.11/site-packages/livekit/agents/ipc/supervised_proc.py\", line 169, in initialize\n init_res = await asyncio.wait_for(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/tasks.py\", line 502, in wait_for\n raise exceptions.TimeoutError() from exc\nTimeoutError", "pid": 161, "timestamp": "2025-08-07T101930.865873+00:00"}
t
Thanks for reaching out, Sandeep. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Could you share your current
WorkerOptions
configuration, including settings like
num_idle_processes
and
initialize_process_timeout
? Additionally, are you using process-based or thread-based execution? This will help in diagnosing the issue further.
b
print(f"entrypoint run successfully - {DEPLOYMENT_ENV}-outbound-agent") logger.info(f"entrypoint run successfully - {DEPLOYMENT_ENV}-outbound-agent") cli.run_app( WorkerOptions( _entrypoint_fnc_=entrypoint, _agent_name_=f"{DEPLOYMENT_ENV}-outbound-agent", _prewarm_fnc_=prewarm, port=9000, _shutdown_process_timeout_=15, _request_fnc_=request_fnc, _num_idle_processes_=3, _initialize_process_timeout_=30 ) )
t
The configuration you’ve shared looks pretty solid, but I totally get how that timeout issue can still pop up sometimes. Let’s walk through some friendly troubleshooting steps to help you get this sorted out: 1. Double-check the Initialization Timeout: The
initialize_process_timeout
is set to 30 seconds right now. If things keep timing out, try bumping it up to 60 seconds just to see if that gives your processes enough breathing room. 2. Keep an Eye on System Resources: Take a peek at your CPU and memory usage while the process is initializing. If your system’s pretty busy, that could slow things down. 3. Look Over the Prewarm Function: If your
prewarm_fnc
is doing some heavy lifting, make sure it’s wrapping up within the timeout window. Maybe there’s some room to optimize it? 4. Check the Logs: Logs can be super helpful! See if there are any error messages or patterns that might give clues about what’s causing the timeout. 5. Try Testing with Less Load: Temporarily lowering the
num_idle_processes
might help you figure out if resource contention is the culprit. 6. Adjust the Timeout if Needed: If your processes just need a bit more time, feel free to increase the
initialize_process_timeout
to better fit your workload. Here’s an example config you can try out for testing:
Copy code
from livekit.agents import WorkerOptions, cli

opts = WorkerOptions(
    entrypoint_fnc=entrypoint,
    num_idle_processes=3,
    initialize_process_timeout=60,  # Increased timeout for troubleshooting
    prewarm_fnc=prewarm,
)

cli.run_app(opts)
If you’re still running into issues, don’t hesitate to share any extra logs or details about your workload. I’m here to help you get this figured out!