Is there no way to stream or wait for environment creation with ml_client

[obiii]

• Package Name: azure.ai.ml.entities
• Package Version: V2
• Operating System: Linux Ubuntu 20.04
• Python Version: 31.11

Describe the bug
We are creating aml environments within the aml pipeline before actually submitting the job. We cannot find a way to wait for the environment creation to finish. Like with jobs, there is no stream functionality with environments.

To Reproduce
Steps to reproduce the behavior:

ml_client_workspace = get_client_workspace(
    credentials, e.subscription_id, e.resource_group, e.workspace_name
)

gpu_image = "mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.1-cudnn8-ubuntu20.04"
cpu_image = "mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04"
env_docker_conda = Environment(
    image=gpu_image if gpu_accelerated else cpu_image,
    conda_file=conda_dependencies_file,
    name=env_name,
    description="Environment created from a Docker image plus Conda environment.",
)
env = ml_client.environments.create_or_update(env_docker_conda)

Expected behavior
There should be a way to wait for environment creation and get completion/failure status.

[github-actions]

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

[kristapratico]

@obiii thanks for your feedback, @azureml-github will take a look and get back to you as soon as possible.

[diondrapeck]

@obiii There is no support for this in V2 today. It is a known feature ask in our backlog; however, there are not concrete plans to address it. If that changes, we will update this issue.