azure-ai-ml unable to download logs and outputs from Job

[sharmuz]

• Package Name: azure-ai-ml
• Package Version: 1.24.0
• Operating System: macOS Sequoia 15.2 (24C101)
• Python Version: 3.10.15

Describe the bug
I am unable to download the logs and outputs saved within a completed Job in Azure ML. Despite both the Job class and JobOperations class providing the functionality, neither seems to work.

I can confirm the files exist in both the Azure ML studio portal and the associated blob storage account container.

To Reproduce
Steps to reproduce the behavior:

1. Submit a job to Azure ML, for which files will be saved to logs/ and outputs/
2. Wait for job to complete
3. Attempt to run the following:

from azure.ai.ml import MLClient

ml_client = MLClient(...)
job_name = "curious_badger_124abc"

# Option 1: via JobOperations
ml_client.jobs.download(
    name=job_name,
    download_path=".",
    all=True,  # also fails with all=False and output_name="my_file.txt"
)

# Option 2: via Job
my_job = ml_client.jobs.get(name=job_name)
print(my_job.log_files)

Option 1 raises a ServiceRequestError
Option 2 returns None

Expected behavior
Option 1 should download logs and outputs to local machine.
Option 2 should return a dict of file names and URLs.

Additional context
Looking through the associated code for azure-ai-ml I found this comment - is getting a job's logs/outputs via the python SDK meant to be possible?

[github-actions]

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @Azure/azure-ml-sdk @azureml-github.