Hey there! The "Initialization Timeout" error pops up when the inference executor doesn’t finish initializing within the set timeout period, which is usually 10 seconds by default. This timeout is managed by the

initialize_timeout

parameter in the

WorkerOptions

class. Here are some friendly tips to help you out: • Increase the Timeout: Try bumping up the

initialize_timeout

value in your worker configuration if things are taking a bit longer to start. • Check System Resources: Make sure your CPU and memory have enough room to breathe according to your worker setup. • Verify Model Requirements: Double-check that the machine learning models you’re loading are optimized and play nicely with your system. Example Configuration:

from livekit.agents import Worker, WorkerOptions

# Let’s give the initialization a bit more time — 30 seconds here
options = WorkerOptions(
    entrypoint_fnc=your_entrypoint_function,
    initialize_process_timeout=30.0,  # Increased timeout
)

worker = Worker(options)

If you want a hand with checking your system resources, figuring out model loading times, or tweaking the timeout settings, just give me a shout—I’m here to help! Sources: livekit-plugins/livekit-plugins-aws/livekit/plugins/aws/experimental/realti...