Timeout Error with ML Backend on AWS ECS

I am currently developing a custom ML Backend for active learning with Label Studio's enterprise version. I have managed to link my ML backend through AWS ECS. However, I am facing a timeout error while processing. The error message shows that the endpoint doesn't reply within the 3-second timeout limit. As my model employs a transformer architecture, processing frequently extends beyond 3 seconds.


**Troubleshooting Steps Taken:**
After reviewing the logs thoroughly, I could not find any issues. The ML backend seems to be working fine, but the workflow is getting disrupted due to the timeout limitation.

**Request:**
I would like to increase the timeout length for the ML backend to accommodate the longer processing times required by my model. This will prevent the timeout error from occurring.

**Assistance Required:**
How can I extend the timeout length in Label Studio's enterprise version? Any information or configuration changes needed to achieve this would be greatly appreciated.

Thank you for your attention to this matter. I look forward to your response and assistance.