Timeout Issues with gpt-3.5-turbo-1106 in ChatCompletion API Calls

Below is a few troubleshooting steps and clarifications to help resolve the timeout issue:

1. Verify the Model Identifier

Make sure that the value assigned to active_model is correct and points to the fine-tuned model you intended to use. For fine-tuned models, the model ID might look like:

PYTHONCopied
active_model = "ft:gpt-4o-mini:my-org:custom_suffix:id"

Double-check that you aren’t accidentally mixing up model identifiers. Since you noted that 3.5 turbo and GPT-4 turbo work fine, confirming the fine-tuned model identifier is a good first step.

2. Confirm That the Fine-Tuned Model Supports Chat Completions

Fine-tuned models need to be compatible with the Chat Completions API method you are calling. Ensure that your model was fine-tuned with the proper format (using the system and user messages) so that it understands the chat structure.

3. Input Size and Token Limits

If you’re summarizing a folder of text files, the cumulative input might be more than the model can handle in a single request. Although older models might have worked fine, the fine-tuned endpoint could be more strict with token limits or processing time. Consider:

• Splitting up the summarization task into smaller batches.
• Reducing the size of the content you send in each call.

4. Network and Timeout Settings

Sometimes, the timeout might be due to network conditions or long processing times for larger inputs. Although your code snippet is standard, you might want to verify:

• Your network connection stability.
• If there is an available way to set a longer timeout for the request (depending on the client library you’re using).

5. Review API Logs and Rate Limit Information

If possible, check the API logs or responses that provide rate limit headers. For example, you can retrieve headers when using the raw response method as shown in the documentation to see if you’re hitting any limits. This could give clues if the timeout is related to rate limits.

Conclusion

Your call itself appears to be structured correctly. The timeout likely isn't due to your code but may be related to one or more of the following:

• An incorrect or misconfigured model identifier.
• The possibility that the fine-tuned model isn’t set up for the chat completions workflow.
• Exceeding token limits or having too large an input request.
• Network or processing delays due to the size of the text being summarized.

Review the above points and adjust accordingly. If the problem persists, consider reaching out to OpenAI support with details from your API logs.