updated setup.py and changelog.rst for cli v2 release 2.45.1

src/machinelearningservices/CHANGELOG.rst

@@ -1,4 +1,6 @@
-## Unreleased
+## 2026-11-01
+
+### Azure Machine Learning CLI (v2) v 2.45.1
 
 - Improve SSH connection argument handling and endpoint validation for jobs and compute instances.
 - Honor repeatable `az ml job connect-ssh --ssh-args` options.

src/machinelearningservices/azext_mlv2/manual/custom/batch_deployment.py

@@ -41,8 +41,9 @@ def ml_batch_deployment_create(
     set_default=False,
     params_override=None,
     skip_script_validation: bool = False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )

src/machinelearningservices/azext_mlv2/manual/custom/batch_endpoint.py

@@ -137,8 +137,9 @@ def ml_batch_endpoint_update(
     file=None,  # pylint: disable=unused-argument
     no_wait=False,
     parameters=None,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ) -> None:
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )

src/machinelearningservices/azext_mlv2/manual/custom/data.py

@@ -131,7 +131,7 @@ def ml_data_import(
     type: Optional[str] = None,  # pylint: disable=redefined-builtin
     path: Optional[str] = None,
     datastore: Optional[str] = None,
-    **kwargs,
+    **kwargs,  # pylint: disable=unused-argument
 ):
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name

src/machinelearningservices/azext_mlv2/manual/custom/deployment_template.py

@@ -80,8 +80,9 @@ def ml_deployment_template_create(
     registry_name=None,
     no_wait=False,
     params_override=None,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     """Create or update a deployment template."""
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
@@ -204,9 +205,10 @@ def ml_deployment_template_archive(
     name,
     version=None,
     registry_name=None,
-    no_wait=False,
-    **kwargs,  # pylint: disable=unused-argument
+    no_wait=False,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     """Archive a deployment template."""
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
@@ -222,9 +224,10 @@ def ml_deployment_template_restore(
     name,
     version=None,
     registry_name=None,
-    no_wait=False,
-    **kwargs,  # pylint: disable=unused-argument
+    no_wait=False,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     """Restore an archived deployment template."""
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name

src/machinelearningservices/azext_mlv2/manual/custom/job.py

@@ -182,8 +182,9 @@ def ml_job_list_private_preview(
     parent_job_name=None,
     include_archived=False,
     archived_only=False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )
@@ -227,7 +228,7 @@ def ml_job_list(
     parent_job_name=None,
     include_archived=False,
     archived_only=False,
-    **kwargs,
+    **kwargs,  # pylint: disable=unused-argument
 ):
     return ml_job_list_private_preview(
         cmd=cmd,

src/machinelearningservices/azext_mlv2/manual/custom/online_deployment.py

@@ -56,8 +56,9 @@ def ml_online_deployment_create(
     web: bool = False,
     skip_script_validation: bool = False,
     package_model: bool = False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     params_override = params_override or []
     online_deployment_info = OnlineDeploymentInfo()
     try:

src/machinelearningservices/azext_mlv2/manual/custom/online_endpoint.py

@@ -88,8 +88,9 @@ def ml_online_endpoint_create(
     no_wait=False,
     params_override=None,
     web: bool = False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )
@@ -232,8 +233,9 @@ def ml_online_endpoint_update(
     no_wait=False,
     mirror_traffic=None,
     web: bool = False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ) -> None:
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )

src/machinelearningservices/azext_mlv2/manual/custom/serverless_endpoint.py

@@ -46,8 +46,9 @@ def ml_serverless_endpoint_create(
     name=None,
     no_wait=False,
     params_override=None,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ):
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )
@@ -125,8 +126,9 @@ def _ml_serverless_endpoint_update(
     workspace_name,
     parameters=None,
     no_wait=False,
-    **kwargs,  # pylint: disable=unused-argument
+    **kwargs,
 ) -> None:
+    # pylint: disable=unused-argument
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, resource_group_name=resource_group_name, workspace_name=workspace_name
     )

src/machinelearningservices/azext_mlv2/manual/custom/utils.py

@@ -120,7 +120,7 @@ def _get_ml_client(
     registry_name=None,
     debug=False,
     cli_ctx=None,
-    **kwargs,
+    **kwargs,  # pylint: disable=unused-argument
 ) -> MLClient:
     from azure.cli.core.commands.client_factory import get_mgmt_service_client
 

src/machinelearningservices/azext_mlv2/manual/requirements.txt

@@ -2,4 +2,4 @@ cryptography
 docker
 azure-mgmt-resourcegraph<9.0.0,>=2.0.0
 azure-identity==1.17.1
-azure-ai-ml==1.35.0
+azure-ai-ml==1.35.1

src/machinelearningservices/setup.py

@@ -10,7 +10,7 @@
 from setuptools import setup, find_packages
 
 # HISTORY.rst entry.
-VERSION = '2.45.0'
+VERSION = '2.45.1'
 
 # The full list of classifiers is available at
 # https://pypi.python.org/pypi?%3Aaction=list_classifiers