
azure-openai
#10038
type_validation_error
Invalid data type: expected a 'string' for the field 'user' but received a different type.
This error has been identified and solved.
Reason
The 400 status error in the Azure OpenAI API, specifically the error message "1719 is not of type 'string' - 'user'," can be caused by several factors:
Invalid Data Type
The error indicates that the value provided for the 'user' field is not a string, which is the expected data type. This could be due to incorrect formatting or an incorrect data type being passed in the request payload.
Incorrect Request Configuration
The request payload might not be properly formatted or might contain invalid syntax. For example, the messages
array or other required fields might not be correctly structured or might contain non-string values where strings are expected.
Payload Size or Content Issues
The data payload could exceed the maximum allowed size or might contain content that violates OpenAI's content management policies, leading to the server rejecting the request.
Missing Required Properties
The request might be missing necessary properties or fields that are required for the API to process the request correctly. For instance, the content
field could be missing or incorrectly formatted.
These issues collectively point to a mismatch between the expected request format and the actual request sent to the API.
Solution
To fix the 400 status error in the Azure OpenAI API with the message "1719 is not of type 'string' - 'user'," you need to ensure the following:
Verify that all fields, especially the 'user' field, are of the correct data type (in this case, a string).
Check the request payload for proper formatting and syntax.
Ensure that the data payload does not exceed the maximum allowed size.
Confirm that all required properties and fields are present and correctly formatted.
Here are the key steps to address this issue:
Correct Data Types: Ensure all values match the expected types.
Proper Request Formatting: Verify the structure and syntax of the request payload.
Payload Size: Ensure the payload is within the allowed limits.
Required Properties: Confirm all necessary fields are included and correctly formatted.
Suggested Links
https://portkey.ai/error-library/prompt-error-10016
https://github.com/danny-avila/LibreChat/discussions/3115
https://cheatsheet.md/chatgpt-cheatsheet/openai-api-error-axioserror-request-failed-status-code-400
https://forum.bubble.io/t/openai-api-error-http-400/263917
https://learn.microsoft.com/en-us/answers/questions/1479386/azure-openai-api-calling-issue
https://learn.microsoft.com/en-us/answers/questions/1680345/issue-with-authenticating-api-management-with-azur
https://community.openai.com/t/getting-400-response-with-already-working-code/509212
https://bobcares.com/blog/azure-openai-invalid_request_error/
https://community.openai.com/t/azure-open-ai-assistant-api-connection-error/662198