Azure AI Foundry - BadRequest: An error occurred. Please reach out to support for additional assistance.

Hi @Anthony Le ,

This type of BadRequest error with message like “An error occurred, please try again” in Azure AI Foundry can be confusing because the message is very generic. Usually, it is not a single issue but something related to request validation, configuration, or temporary service conditions.

What this error generally means

A 400 BadRequest error usually means the service could not process your request. This can happen due to:

• Invalid or missing parameters
• Incorrect API version or endpoint
• Model or deployment mismatch
• Temporary backend or service condition

In many cases, the error message does not show the exact root cause, so you need to check step by step. [apisec.ai]

Things you should check

1. Verify API version

Some models only work with specific API versions.

If you are using an older API version, the request may fail even if everything else looks correct.

Try updating to the latest supported API version for your model. [learn.microsoft.com]

2. Check request format

Make sure your request body is valid.

For example:

• messages array is correctly formatted
• roles like user and system are valid
• no missing or null fields

Invalid JSON or structure is one of the most common causes of BadRequest.

3. Validate endpoint and deployment

Confirm that:

• Endpoint URL is correct
• You are calling the correct deployment name
• The model is actually deployed and active

If there is any mismatch, the request may fail.

4. Check required parameters

Some requests fail because required fields are missing.

For example:

• api version parameter
• deployment or model name
• required headers

Missing required parameters can directly cause BadRequest errors. [learn.microsoft.com]

5. Try a minimal request

Send a simple test request first.

• basic message
• no extra settings
• default parameters

If this works, then the issue is likely with one of the additional parameters you are using.

6. Check if issue is temporary

Sometimes the platform can return generic errors due to backend issues or restrictions.

Examples include:

• temporary service instability
• high load or region issues
• backend validation failure before runtime

In such cases, retrying after some time may help. [learn.microsoft.com]

7. Verify subscription or resource state

If you recently saw warnings like unusual usage or suspicious activity, your resource might be restricted.

In that case:

• deployments may fail
• API calls may return generic errors

This is not always visible directly in the error message. [learn.microsoft.com]

In short: This error is usually caused by:

• request format issues
• api version mismatch
• endpoint or deployment mismatch
• or temporary backend conditions

Start with a simple request and then gradually add complexity to identify what is causing the failure.

I hope this helps. Do let me know if you have any further queries.

Thankyou!

Hi @Anthony Le

Could you please confirm whether it's alright to close this thread?

Thankyou!