Encountered error of type invalid_request_error applied to param metadata with code object_above_max_properties and message:

The error is not related to Blob or Azure AI Search directly. It means the Agent/Assistant request is sending 17 metadata properties, but Azure OpenAI/Foundry allows maximum 16 key-value pairs in the metadata object. Microsoft’s REST API reference states metadata is limited to 16 key-value pairs, with key length up to 64 characters and value length up to 512 characters.

please check the relevant doc

https://learn.microsoft.com/en-us/azure/foundry/openai/reference-preview

Hi Suraj Panker,

The error you are seeing “invalid_request_error” usually means the request being sent to the API is not valid or missing something required. It is one of the most common errors and normally happens due to request format or configuration issues.

Below are some things you can check step by step.

1. Check your request format

This error often happens when something in the request body is not correct.

• Make sure all parameters are valid and supported
• Remove any extra or unsupported fields
• Ensure the JSON structure is correct

For example, sending unsupported parameters or wrong fields will trigger this error. [bobcares.com]

2. Use deployment name correctly

In Azure OpenAI and Foundry, you must use the deployment name, not the model's name.

• deployment name and model name are different
• even small mismatch or case difference can cause failure

This is a very common cause in many scenarios. [dredyson.com]

3. Check endpoint and base URL

Make sure your endpoint is correct.

• format should be like https://your-resource-name.openai.azure.com
• avoid extra paths or incorrect formatting
• confirm region matches your deployment

Even small mistakes in URL can result in invalid request error. [bobcares.com]

4. Verify required parameters are present

If a required field is missing, the API will reject the request.

Examples:

• missing deployment id or engine
• missing messages or input
• missing api version in REST calls

For example, missing deployment id or required parameter will cause invalid request error. [community.openai.com]

5. Check API version

When calling REST APIs, make sure:

• api version is included in the URL
• it matches a supported version

Missing api version will result in request validation failure. [learn.microsoft.com]

6. Validate input size and limits

Each model has limits on token size:

• very large prompt or response can fail
• reduce input size if needed

Exceeded limits can also lead to invalid request error.

7. Check API key and headers

Make sure:

• correct API key is used
• headers are properly set
• content type is application json

Wrong headers or invalid key can also cause this issue.

Reference

Azure OpenAI error explanation: https://learn.microsoft.com/en-us/azure/ai-services/openai/ [devopszones.com]

Summary

This error is usually due to request issues, not service issues. Most common reasons are:

• wrong deployment name
• missing parameter
• invalid request body
• incorrect endpoint or API version

If you review the above points one by one, you should be able to identify the exact cause.

If you can share the request format or error message details, it will be easier to point out the exact issue.

Do let me know if you have any further queries.
Thankyou!

Hi Suraj Panker,

Please let me know if the issue persists after these checks. If you have any remaining questions or need additional details, I’ll be glad to provide further clarification or guidance. If the above steps resolve your issue, kindly confirm.

Thankyou!