Bug: `exclude_*` credentials in DefaultAzureCredential in azureml-mlflow
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- azure, machine-learning, python
- Domain
- authentication, machine-learning
Research direction
Start by locating where the azureml-mlflow plugin constructs its DefaultAzureCredential, then review the available exclude_* options. Confirm how callers could provide those options and add coverage showing that managed identity can be excluded; done means the plugin exposes the requested credential controls without breaking existing behavior.
Written by the indexing model from the issue text.
Description
Apologies if this is posted in the wrong place, I'm happy to re-post if you can point me in the right direction - it's regarding azureml-mlflow.
The azureml-mlflow plugin currently uses a blank DefaultAzureCredential() call to generate credentials to track ML Flow runs. The DefaultAzureCredential() actually accepts a number of exclude_* arguments to avoid trying to use certain types of credentials.
Not being able to pass those exclude_* arguments to the azureml-mlflow plugin means that in some situations (experienced whilst on a customer-granted Azure hosted VM) it will try to use the machine's managed identity even when we explicitly do not want to.
Are there any plans to make those options available to us using azureml-mlflow?
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
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