Worker stops when --rp_api_concurrency more than 1 (with main.py main file)

[ArtyoMKos]

Describe the bug
Worker stops when running locally with argument --rp_api_concurrency more than 1. In documentation written - use main.py main file for correct integration, this happens with main.py file.

To Reproduce
Steps to reproduce the behavior:

1. Create any simple worker
2. Worker main.py file contains following code:
   if __name__ == "__main__": cm = int(CONFIGS["GENERIC"]["concurrent_modifier"]) logging.info(f"Starting with {cm} workers.") runpod.serverless.start( { "handler": async_handler, "concurrency_modifier": lambda x: 5, # or without this line, result is same } )
3. Run your main file with command python src/main.py --rp_serve_api --rp_api_port 8080 --rp_api_concurrency 5

Expected behavior
Worker must run with 5 workers concurrently.

Desktop (please complete the following information):

• OS: ubuntu

[deanq]

@ArtyoMKos What version of runpod SDK is installed?

[ArtyoMKos]

I used RunPod 1.6.2 and 1.7.0

…

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[katarzynasornat]

Hi, is there any progress on this, I followed exacly the same example as https://docs.runpod.io/serverless/workers/development/concurrency with changing the name but it is also not working for me giving the message

--- Starting Serverless Worker | Version 1.7.3 --- INFO | Starting API server. DEBUG | Not deployed on RunPod serverless, pings will not be sent. WARNING: You must pass the application as an import string to enable 'reload' or 'workers'.

Is there anybody to help with the above?

[smagnetize]

I'm getting the same issue, I've tried lots of different environments and versions.