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Description
Describe the bug
When trying to use the tracing features of mlflow in AzureML:
https://mlflow.org/docs/latest/tracing/
There is an error on the client side:
mlflow.tracking.client: Failed to start trace AsyncCompletions: API request to endpoint /api/2.0/mlflow/traces failed with error code 403 != 200. Response body
To Reproduce
Steps to reproduce the behavior:
- You just need to setup mlflow as usual with the right tracking uri.
- Add the line: mlflow.openai.autolog()
Expected behavior
It shouldn't crash the code as autolog is quite standard, even if tracing isn't supported, it should at the very least save the traces somewhere.
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This issue points to a problem in the data-plane of the library.Workflow: This issue is responsible by Azure service team.Issues that are reported by GitHub users external to the Azure organization.This issue requires a new behavior in the product in order be resolved.Workflow: This issue needs attention from Azure service team or SDK team