Why is GPT-4 Vision Preview Returning HTTP 500 Errors After Documentation Changes?

Below are a few things to check and consider:

1. Validate Your Request and Payload

• Endpoint and API Version: Ensure you’re sending your request to the correct endpoint with the latest API version.
• Payload Format: Since the documentation now shows that the image input is an object (e.g., { "url": "<your_image_url>" }), double-check that your JSON payload matches the updated schema exactly.

2. Verify Image Constraints

• Size Limit: Confirm the image is under 20MB as specified.
• Format Compatibility: Make sure the image format is supported.

3. Service Status

• Internal Error (500): A 500 error typically indicates an issue on the service side. Since the documentation examples are also failing, it suggests that it might not be your implementation.
• Outages/Updates: Check the service status page or changelog updates for any ongoing issues or recent changes that might be affecting the vision endpoint.

4. Next Steps

• Retry Later: Sometimes transient server issues cause 500 errors; a retry after a short period might succeed.
• Support Ticket: If the issue persists, gather your request details (payload, headers, and any error messages) and contact OpenAI support to get further assistance.

These steps should help narrow down the cause. Given that even documentation examples are affected, it’s likely an internal issue that OpenAI needs to address.