anyscale
#10005
validation_error
Invalid configuration: 'top_p' must be set to 1 when using greedy sampling. Please adjust your settings accordingly.
This error has been identified and solved.
Reason
The 400 status error you are seeing in the Anyscale API is due to a validation error in the request parameters. Specifically, the error message indicates that the top_p parameter must be 1 when using greedy sampling. This means that the current value of top_p does not meet the required condition for greedy sampling, leading to a client error that the server cannot process the request as it is malformed or invalid according to the API's validation rules.
Solution
To fix the 400 status error in the Anyscale API, you need to ensure that the request parameters comply with the API's validation rules. Here are the steps to resolve the issue:
Update the
top_pparameter to 1 when using greedy sampling.Verify that all other parameters are correctly set and comply with the API's specifications.
Check for any extra or invalid fields in the request payload and remove or correct them as necessary.
Ensure that all mandatory properties are included in the request.
By making these adjustments, you can ensure that the request is properly formatted and valid, thus avoiding the 400 Bad Request error.
Suggested Links
https://github.com/ray-project/ray/issues/31370
https://community.openai.com/t/400-model-error-call-to-llm-failed/276375
https://docs.apigee.com/api-platform/troubleshoot/runtime/400-decompressionfailureatrequest
https://docs.equinix.com/en-us/Content/KnowledgeCenter/LOA/ErrorHandling/400.htm
https://forum.bubble.io/t/how-to-catch-a-400-error-from-api-connector/27682
https://forum.bubble.io/t/why-do-api-connector-requests-sometimes-return-a-400-error/321731
