Validation for CommandJobSchema failed: optional: unknown field #9298
Description
Describe the bug
This example from the docs doesn't work with the az ml CLI (azure-cli version: 2.78.0; ml extension version: 2.39.0).
The yaml:
$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: train_data_component_cli
display_name: train_data
description: A example train component
tags:
author: azureml-sdk-team
type: command
inputs:
training_data:
type: uri_folder
optional: true
learning_rate:
type: number
default: 0.01
optional: true
code: ./train_src
environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
command: >-
python train.py
$[[--training_data ${{inputs.training_data}}]]
$[[--learning_rate ${{inputs.learning_rate}}]]
Related command
az ml job create --file .\test.yaml
Errors
The yaml file you provided does not match the prescribed schema for CommandJob yaml files and/or has the following issues:
Error:
1) A least one unrecognized parameter is specified
Details: Validation for CommandSchema failed
(x) inputs:
- optional:
- Unknown field.
Issue script & Debug output
cli.knack.cli: Command arguments: ['ml', 'job', 'create', '--file', '.\\test.yaml', '--debug']
cli.knack.cli: __init__ debug log:
Enable color in terminal.
cli.knack.cli: Event: Cli.PreExecute []
cli.knack.cli: Event: CommandParser.OnGlobalArgumentsCreate [<function CLILogging.on_global_arguments at 0x024695C8>, <function OutputProducer.on_global_arguments at 0x027BD118>, <function CLIQuery.on_global_arguments at 0x027DB2F8>]
cli.knack.cli: Event: CommandInvoker.OnPreCommandTableCreate []
cli.azure.cli.core: Modules found from index for 'ml': ['azext_mlv2']
cli.azure.cli.core: Loading command modules:
cli.azure.cli.core: Name Load Time Groups Commands
cli.azure.cli.core: Total (0) 0.000 0 0
cli.azure.cli.core: These extensions are not installed and will be skipped: ['azext_ai_examples', 'azext_next']
cli.azure.cli.core: Loading extensions:
cli.azure.cli.core: Name Load Time Groups Commands Directory
azure.ai.ml._azure_environments: Using the default cloud configuration: 'AzureCloud'.
azure.ai.ml._azure_environments: Using the default cloud configuration: 'AzureCloud'.
azure.ai.ml._azure_environments: Using the default cloud configuration: 'AzureCloud'.
cli.azure.cli.core: ml 4.980 25 165 C:\Users\noraabiakar\.azure\cliextensions\ml
cli.azure.cli.core: Total (1) 4.980 25 165
cli.azure.cli.core: Loaded 25 groups, 165 commands.
cli.azure.cli.core: Found a match in the command table.
cli.azure.cli.core: Raw command : ml job create
cli.azure.cli.core: Command table: ml job create
cli.knack.cli: Event: CommandInvoker.OnPreCommandTableTruncate [<function AzCliLogging.init_command_file_logging at 0x045A8028>]
cli.azure.cli.core.azlogging: metadata file logging enabled - writing logs to 'C:\Users\noraabiakar\.azure\commands\2025-10-14.10-29-32.ml_job_create.23684.log'.
az_command_data_logger: command args: ml job create --file {} --debug
cli.knack.cli: Event: CommandInvoker.OnPreArgumentLoad [<function register_global_subscription_argument.<locals>.add_subscription_parameter at 0x045E0398>]
cli.knack.commands: Configured default 'rg-omniverseaipipeline-app-dev-eu2-001' for arg resource_group_name
cli.knack.commands: Configured default 'mlw-aml-dev-eu2-001' for arg workspace_name
cli.knack.cli: Event: CommandInvoker.OnPostArgumentLoad []
cli.knack.cli: Event: CommandInvoker.OnPostCommandTableCreate [<function register_ids_argument.<locals>.add_ids_arguments at 0x045E07A8>, <function register_cache_arguments.<locals>.add_cache_arguments at 0x04612AC8>, <function register_upcoming_breaking_change_info.<locals>.update_breaking_change_info at 0x04612B18>]
cli.knack.cli: Event: CommandInvoker.OnCommandTableLoaded []
cli.knack.cli: Event: CommandInvoker.OnPreParseArgs []
cli.knack.cli: Event: CommandInvoker.OnPostParseArgs [<function OutputProducer.handle_output_argument at 0x027BD168>, <function CLIQuery.handle_query_parameter at 0x027DB348>, <function register_ids_argument.<locals>.parse_ids_arguments at 0x04612A28>]
az_command_data_logger: extension name: ml
az_command_data_logger: extension version: 2.39.0
cli.azure.cli.core.commands.client_factory: Getting management service client client_type=AzureMachineLearningWorkspaces
cli.azure.cli.core.auth.persistence: build_persistence: location='C:\\Users\\noraabiakar\\.azure\\msal_token_cache.bin', encrypt=True
cli.azure.cli.core.auth.binary_cache: load: C:\Users\noraabiakar\.azure\msal_http_cache.bin
urllib3.util.retry: Converted retries value: 1 -> Retry(total=1, connect=None, read=None, redirect=None, status=None)
msal.authority: Initializing with Entra authority: https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7
msal.authority: openid_config("https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/v2.0/.well-known/openid-configuration") = {'token_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/token', 'token_endpoint_auth_methods_supported': ['client_secret_post', 'private_key_jwt', 'client_secret_basic'], 'jwks_uri': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/discovery/v2.0/keys', 'response_modes_supported': ['query', 'fragment', 'form_post'], 'subject_types_supported': ['pairwise'], 'id_token_signing_alg_values_supported': ['RS256'], 'response_types_supported': ['code', 'id_token', 'code id_token', 'id_token token'], 'scopes_supported': ['openid', 'profile', 'email', 'offline_access'], 'issuer': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/v2.0', 'request_uri_parameter_supported': False, 'userinfo_endpoint': 'https://graph.microsoft.com/oidc/userinfo', 'authorization_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/authorize', 'device_authorization_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/devicecode', 'http_logout_supported': True, 'frontchannel_logout_supported': True, 'end_session_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/logout', 'claims_supported': ['sub', 'iss', 'cloud_instance_name', 'cloud_instance_host_name', 'cloud_graph_host_name', 'msgraph_host', 'aud', 'exp', 'iat', 'auth_time', 'acr', 'nonce', 'preferred_username', 'name', 'tid', 'ver', 'at_hash', 'c_hash', 'email'], 'kerberos_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/kerberos', 'tenant_region_scope': 'EU', 'cloud_instance_name': 'microsoftonline.com', 'cloud_graph_host_name': 'graph.windows.net', 'msgraph_host': 'graph.microsoft.com', 'rbac_url': 'https://pas.windows.net'}
msal.application: Broker enabled? True
cli.azure.cli.core.commands.client_factory: Getting management service client client_type=_ml_client_cli
urllib3.util.retry: Converted retries value: 1 -> Retry(total=1, connect=None, read=None, redirect=None, status=None)
msal.authority: Initializing with Entra authority: https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7
msal.authority: openid_config("https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/v2.0/.well-known/openid-configuration") = {'token_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/token', 'token_endpoint_auth_methods_supported': ['client_secret_post', 'private_key_jwt', 'client_secret_basic'], 'jwks_uri': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/discovery/v2.0/keys', 'response_modes_supported': ['query', 'fragment', 'form_post'], 'subject_types_supported': ['pairwise'], 'id_token_signing_alg_values_supported': ['RS256'], 'response_types_supported': ['code', 'id_token', 'code id_token', 'id_token token'], 'scopes_supported': ['openid', 'profile', 'email', 'offline_access'], 'issuer': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/v2.0', 'request_uri_parameter_supported': False, 'userinfo_endpoint': 'https://graph.microsoft.com/oidc/userinfo', 'authorization_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/authorize', 'device_authorization_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/devicecode', 'http_logout_supported': True, 'frontchannel_logout_supported': True, 'end_session_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/oauth2/v2.0/logout', 'claims_supported': ['sub', 'iss', 'cloud_instance_name', 'cloud_instance_host_name', 'cloud_graph_host_name', 'msgraph_host', 'aud', 'exp', 'iat', 'auth_time', 'acr', 'nonce', 'preferred_username', 'name', 'tid', 'ver', 'at_hash', 'c_hash', 'email'], 'kerberos_endpoint': 'https://login.microsoftonline.com/5a5c4bcf-d285-44af-8f19-ca72d454f6f7/kerberos', 'tenant_region_scope': 'EU', 'cloud_instance_name': 'microsoftonline.com', 'cloud_graph_host_name': 'graph.windows.net', 'msgraph_host': 'graph.microsoft.com', 'rbac_url': 'https://pas.windows.net'}
msal.application: Broker enabled? True
Class AutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class AutoDeleteConditionSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseAutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class IntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ProtectionLevelSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseIntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 192, in load_from_dict
return schema(context=context).load(data, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 792, in load
return self._do_load(
~~~~~~~~~~~~~^
data, many=many, partial=partial, unknown=unknown, postprocess=True
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 999, in _do_load
raise exc
marshmallow.exceptions.ValidationError: {'inputs': defaultdict(<class 'dict'>, {'training_data': {'value': [{'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['mltable']"], 'optional': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}, 'learning_rate': {'value': [{'type': ["Value 'number' passed is not in set ['uri_file', 'uri_folder']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['mltable']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.'], 'default': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}})}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 106, in load_common
return _load_common_raising_marshmallow_error(cls, yaml_dict, relative_origin, params_override, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 166, in _load_common_raising_marshmallow_error
res: Resource = cls._load(data=yaml_dict, yaml_path=relative_origin, params_override=params_override, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_job\job.py", line 276, in _load
job: Job = job_type._load_from_dict(
~~~~~~~~~~~~~~~~~~~~~~~~^
data=data,
^^^^^^^^^^
...<3 lines>...
**kwargs,
^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_builders\command.py", line 805, in _load_from_dict
loaded_data = load_from_dict(CommandJobSchema, data, context, additional_message, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 195, in load_from_dict
raise ValidationError(decorate_validation_error(schema, pretty_error, additional_message)) from e
marshmallow.exceptions.ValidationError: Validation for CommandJobSchema failed:
{
"inputs": {
"training_data": {
"value": [
{
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
},
"learning_rate": {
"value": [
{
"type": [
"Value 'number' passed is not in set ['uri_file', 'uri_folder']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
}
}
}
If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azext_mlv2\manual\custom\job.py", line 86, in ml_job_create
job = load_job(source=file, params_override=params_override)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 233, in load_job
return cast(Job, load_common(Job, source, relative_origin, params_override, **kwargs))
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 131, in load_common
validation_result.try_raise(error_func=build_error)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_validation\core.py", line 253, in try_raise
raise error_func(
...<2 lines>...
)
marshmallow.exceptions.ValidationError: Validation for CommandSchema failed:
{
"result": "Failed",
"errors": [
{
"message": "Validation for CommandJobSchema failed:\n\n {\n \"inputs\": {\n \"training_data\": {\n \"value\": [\n {\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n
]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n ]\n }\n ]\n },\n \"learning_rate\": {\n \"value\": [\n {\n \"type\": [\n \"Value 'number' passed is not in set ['uri_file', 'uri_folder']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n
\"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n
]\n }\n ]\n }\n }\n} \n\n If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.\n\nVisit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.\nThe easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code",
"path": "*",
"value": null,
"location": ".\\test.yaml"
}
]
}
If you are trying to configure an entity that is not of type command, please specify the correct type in the 'type' property.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
cli: None
cli: Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 192, in load_from_dict
return schema(context=context).load(data, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 792, in load
return self._do_load(
~~~~~~~~~~~~~^
data, many=many, partial=partial, unknown=unknown, postprocess=True
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 999, in _do_load
raise exc
marshmallow.exceptions.ValidationError: {'inputs': defaultdict(<class 'dict'>, {'training_data': {'value': [{'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['mltable']"], 'optional': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}, 'learning_rate': {'value': [{'type': ["Value 'number' passed is not in set ['uri_file', 'uri_folder']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['mltable']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.'], 'default': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}})}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 106, in load_common
return _load_common_raising_marshmallow_error(cls, yaml_dict, relative_origin, params_override, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 166, in _load_common_raising_marshmallow_error
res: Resource = cls._load(data=yaml_dict, yaml_path=relative_origin, params_override=params_override, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_job\job.py", line 276, in _load
job: Job = job_type._load_from_dict(
~~~~~~~~~~~~~~~~~~~~~~~~^
data=data,
^^^^^^^^^^
...<3 lines>...
**kwargs,
^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_builders\command.py", line 805, in _load_from_dict
loaded_data = load_from_dict(CommandJobSchema, data, context, additional_message, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 195, in load_from_dict
raise ValidationError(decorate_validation_error(schema, pretty_error, additional_message)) from e
marshmallow.exceptions.ValidationError: Validation for CommandJobSchema failed:
{
"inputs": {
"training_data": {
"value": [
{
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
},
"learning_rate": {
"value": [
{
"type": [
"Value 'number' passed is not in set ['uri_file', 'uri_folder']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
}
}
}
If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azext_mlv2\manual\custom\job.py", line 86, in ml_job_create
job = load_job(source=file, params_override=params_override)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 233, in load_job
return cast(Job, load_common(Job, source, relative_origin, params_override, **kwargs))
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 131, in load_common
validation_result.try_raise(error_func=build_error)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_validation\core.py", line 253, in try_raise
raise error_func(
...<2 lines>...
)
marshmallow.exceptions.ValidationError: Validation for CommandSchema failed:
{
"result": "Failed",
"errors": [
{
"message": "Validation for CommandJobSchema failed:\n\n {\n \"inputs\": {\n \"training_data\": {\n \"value\": [\n {\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n
]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n ]\n }\n ]\n },\n \"learning_rate\": {\n \"value\": [\n {\n \"type\": [\n \"Value 'number' passed is not in set ['uri_file', 'uri_folder']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n
\"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n
]\n }\n ]\n }\n }\n} \n\n If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.\n\nVisit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.\nThe easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code",
"path": "*",
"value": null,
"location": ".\\test.yaml"
}
]
}
If you are trying to configure an entity that is not of type command, please specify the correct type in the 'type' property.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
cli.azure.cli.core.azclierror: Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 192, in load_from_dict
return schema(context=context).load(data, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 792, in load
return self._do_load(
~~~~~~~~~~~~~^
data, many=many, partial=partial, unknown=unknown, postprocess=True
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\marshmallow\schema.py", line 999, in _do_load
raise exc
marshmallow.exceptions.ValidationError: {'inputs': defaultdict(<class 'dict'>, {'training_data': {'value': [{'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.']}, {'type': ["Value 'uri_folder' passed is not in set ['mltable']"], 'optional': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}, 'learning_rate': {'value': [{'type': ["Value 'number' passed is not in set ['uri_file', 'uri_folder']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'type': ["Value 'number' passed is not in set ['mltable']"], 'optional': ['Unknown field.'], 'default': ['Unknown field.']}, {'optional': ['Unknown field.'], 'type': ['Unknown field.'], 'default': ['Unknown field.']}, {None: [{'_schema': ['Not a valid integer.']}, {'_schema': ['Not a valid number.']}, {'_schema': ['Not a valid string.']}, {'_schema': ['Not a valid boolean.']}]}]}})}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 106, in load_common
return _load_common_raising_marshmallow_error(cls, yaml_dict, relative_origin, params_override, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 166, in _load_common_raising_marshmallow_error
res: Resource = cls._load(data=yaml_dict, yaml_path=relative_origin, params_override=params_override, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_job\job.py", line 276, in _load
job: Job = job_type._load_from_dict(
~~~~~~~~~~~~~~~~~~~~~~~~^
data=data,
^^^^^^^^^^
...<3 lines>...
**kwargs,
^^^^^^^^^
)
^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_builders\command.py", line 805, in _load_from_dict
loaded_data = load_from_dict(CommandJobSchema, data, context, additional_message, **kwargs)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_util.py", line 195, in load_from_dict
raise ValidationError(decorate_validation_error(schema, pretty_error, additional_message)) from e
marshmallow.exceptions.ValidationError: Validation for CommandJobSchema failed:
{
"inputs": {
"training_data": {
"value": [
{
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
]
},
{
"type": [
"Value 'uri_folder' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
},
"learning_rate": {
"value": [
{
"type": [
"Value 'number' passed is not in set ['uri_file', 'uri_folder']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"type": [
"Value 'number' passed is not in set ['mltable']"
],
"optional": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"optional": [
"Unknown field."
],
"type": [
"Unknown field."
],
"default": [
"Unknown field."
]
},
{
"null": [
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid number."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
}
]
}
]
}
}
}
If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azext_mlv2\manual\custom\job.py", line 86, in ml_job_create
job = load_job(source=file, params_override=params_override)
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 233, in load_job
return cast(Job, load_common(Job, source, relative_origin, params_override, **kwargs))
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_load_functions.py", line 131, in load_common
validation_result.try_raise(error_func=build_error)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azure\ai\ml\entities\_validation\core.py", line 253, in try_raise
raise error_func(
...<2 lines>...
)
marshmallow.exceptions.ValidationError: Validation for CommandSchema failed:
{
"result": "Failed",
"errors": [
{
"message": "Validation for CommandJobSchema failed:\n\n {\n \"inputs\": {\n \"training_data\": {\n \"value\": [\n {\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'uri_folder' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n
]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n ]\n }\n ]\n },\n \"learning_rate\": {\n \"value\": [\n {\n \"type\": [\n \"Value 'number' passed is not in set ['uri_file', 'uri_folder']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['custom_model', 'mlflow_model', 'triton_model']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"type\": [\n \"Value 'number' passed is not in set ['mltable']\"\n ],\n \"optional\": [\n \"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"optional\": [\n \"Unknown field.\"\n ],\n \"type\": [\n
\"Unknown field.\"\n ],\n \"default\": [\n \"Unknown field.\"\n ]\n },\n {\n \"null\": [\n {\n \"_schema\": [\n \"Not a valid integer.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid number.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid string.\"\n ]\n },\n {\n \"_schema\": [\n \"Not a valid boolean.\"\n ]\n }\n
]\n }\n ]\n }\n }\n} \n\n If you are trying to configure a job that is not of type command, please specify the correct job type in the 'type' property.\n\nVisit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.\nThe easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code",
"path": "*",
"value": null,
"location": ".\\test.yaml"
}
]
}
If you are trying to configure an entity that is not of type command, please specify the correct type in the 'type' property.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up: https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\knack/cli.py", line 233, in invoke
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 666, in execute
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 734, in _run_jobs_serially
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 703, in _run_job
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 336, in __call__
File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/command_operation.py", line 120, in handler
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azext_mlv2\manual\custom\job.py", line 105, in ml_job_create
log_and_raise_error(err, debug, yaml_operation=yaml_operation)
~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\noraabiakar\.azure\cliextensions\ml\azext_mlv2\manual\custom\raise_error.py", line 193, in log_and_raise_error
raise cli_error
knack.util.CLIError:
The yaml file you provided does not match the prescribed schema for CommandJob yaml files and/or has the following issues:
Error:
1) A least one unrecognized parameter is specified
Details: Validation for CommandSchema failed
(x) inputs:
- optional:
- Unknown field.
Resolutions:
1) Remove any parameters not prescribed by the CommandJob schema.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
If using the CLI, you can also check the full log in debug mode for more details by adding --debug to the end of your command
Additional Resources: The easiest way to author a yaml specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up VS Code, visit https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
cli.azure.cli.core.azclierror:
The yaml file you provided does not match the prescribed schema for CommandJob yaml files and/or has the following issues:
Error:
1) A least one unrecognized parameter is specified
Details: Validation for CommandSchema failed
(x) inputs:
- optional:
- Unknown field.
Resolutions:
1) Remove any parameters not prescribed by the CommandJob schema.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
If using the CLI, you can also check the full log in debug mode for more details by adding --debug to the end of your command
Additional Resources: The easiest way to author a yaml specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up VS Code, visit https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
az_command_data_logger:
The yaml file you provided does not match the prescribed schema for CommandJob yaml files and/or has the following issues:
Error:
1) A least one unrecognized parameter is specified
Details: Validation for CommandSchema failed
(x) inputs:
- optional:
- Unknown field.
Resolutions:
1) Remove any parameters not prescribed by the CommandJob schema.
Visit this link to refer to the CommandJob schema if needed: https://aka.ms/ml-cli-v2-job-command-yaml-reference.
If using the CLI, you can also check the full log in debug mode for more details by adding --debug to the end of your command
Additional Resources: The easiest way to author a yaml specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning. To set up VS Code, visit https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-code
cli.knack.cli: Event: Cli.PostExecute [<function AzCliLogging.deinit_cmd_metadata_logging at 0x045A8168>]
az_command_data_logger: exit code: 1
cli.__main__: Command ran in 6.502 seconds (init: 0.549, invoke: 5.953)
telemetry.main: Begin splitting cli events and extra events, total events: 1
telemetry.client: Accumulated 0 events. Flush the clients.
telemetry.main: Finish splitting cli events and extra events, cli events: 1
telemetry.save: Save telemetry record of length 4869 in cache file under C:\Users\noraabiakar\.azure\telemetry\20251014102933646
telemetry.main: Begin creating telemetry upload process.
telemetry.process: Creating upload process: "C:\Program Files (x86)\Microsoft SDKs\Azure\CLI2\python.exe C:\Program Files (x86)\Microsoft SDKs\Azure\CLI2\Lib\site-packages\azure\cli\telemetry\__init__.pyc C:\Users\noraabiakar\.azure C:\Users\noraabiakar\.azure\telemetry\20251014102933646"
telemetry.process: Return from creating process 23540
telemetry.main: Finish creating telemetry upload process.
Expected behavior
The command should work.
Environment Summary
azure-cli 2.78.0
core 2.78.0
telemetry 1.1.0
Extensions:
ad 0.1.0
aks-preview 14.0.0b2
azure-iot 0.26.0
connectedk8s 1.10.7
containerapp 1.1.0b4
customlocation 0.1.4
k8s-extension 1.6.4
load 2.0.0
ml 2.39.0
resource-graph 2.1.1
ssh 2.0.6
storage-preview 1.0.0b5
Dependencies:
msal 1.34.0b1
azure-mgmt-resource 23.3.0
Python location 'C:\Program Files (x86)\Microsoft SDKs\Azure\CLI2\python.exe'
Config directory 'C:\Users\noraabiakar.azure'
Extensions directory 'C:\Users\noraabiakar.azure\cliextensions'
Python (Windows) 3.13.7 (tags/v3.13.7:bcee1c3, Aug 14 2025, 14:06:58) [MSC v.1944 32 bit (Intel)]
Legal docs and information: aka.ms/AzureCliLegal
Your CLI is up-to-date.
Additional context
No response