azure-openai
#10037
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'," indicates that the API request is malformed due to incorrect data types in the payload. Here are the key reasons for this error:
Incorrect Data Types
The payload you are sending to the API contains a field (in this case, 'user') that is expected to be a string, but it is not. The value "1719" is a number, which does not match the expected data type.
Invalid Request Syntax
The error suggests that the request does not conform to the API's expected syntax or structure. This could be due to incorrect formatting of the JSON payload or missing required fields.
API Validation
The OpenAI API has specific validation rules for the input data, and your request is failing these validations. The error message points to the API reference, indicating that the input is invalid according to the API's documentation.
Solution
To fix the 400 status error in the Azure OpenAI API due to the "Invalid data type" issue, you need to ensure that your request payload conforms to the expected data types and structure. Here are the key steps to correct this:
Verify Data Types: Ensure that all fields in your request payload match the expected data types as specified in the OpenAI API documentation. For example, the 'user' field must be a string.
Check JSON Formatting: Make sure the JSON payload is correctly formatted and all required fields are present.
Review API Documentation: Refer to the API reference to ensure your request adheres to the specified syntax and structure.
Remove Hidden Characters: Be cautious of hidden characters that might be introduced during copy-pasting of API keys or other strings.
Use Correct Parameters: Ensure you are using the correct parameters as per the API version you are working with, such as using
max_completion_tokensinstead ofmax_tokensfor certain models.
