two version of R2R are hereHEADmaster

18 files changed, 2179 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/__init__.py
new file mode 100644
index 00000000..f26edcb4
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/__init__.py
@@ -0,0 +1,72 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+"""This package defines constants used in Azure Machine Learning SDKv2."""
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
+
+from azure.ai.ml._restclient.v2023_10_01.models import ListViewType
+
+from ._assets import IPProtectionLevel
+from ._common import AssetTypes, InputOutputModes, InputTypes, ModelType, Scope, TimeZone, WorkspaceKind
+from ._component import ParallelTaskType
+from ._deployment import BatchDeploymentOutputAction
+from ._job import (
+    DataGenerationTaskType,
+    DataGenerationType,
+    DistributionType,
+    ImageClassificationModelNames,
+    ImageInstanceSegmentationModelNames,
+    ImageObjectDetectionModelNames,
+    ImportSourceType,
+    JobType,
+    NlpLearningRateScheduler,
+    NlpModels,
+    TabularTrainingMode,
+)
+from ._monitoring import (
+    MonitorDatasetContext,
+    MonitorFeatureType,
+    MonitorMetricName,
+    MonitorModelType,
+    MonitorSignalType,
+    MonitorTargetTasks,
+)
+from ._registry import AcrAccountSku, StorageAccountType
+from ._workspace import ManagedServiceIdentityType
+
+TabularTrainingMode.__module__ = __name__
+
+__all__ = [
+    "DataGenerationTaskType",
+    "DataGenerationType",
+    "ImportSourceType",
+    "JobType",
+    "ParallelTaskType",
+    "AssetTypes",
+    "InputTypes",
+    "InputOutputModes",
+    "DistributionType",
+    "TimeZone",
+    "BatchDeploymentOutputAction",
+    "ModelType",
+    "ManagedServiceIdentityType",
+    "ImageClassificationModelNames",
+    "ImageObjectDetectionModelNames",
+    "ImageInstanceSegmentationModelNames",
+    "StorageAccountType",
+    "AcrAccountSku",
+    "NlpModels",
+    "NlpLearningRateScheduler",
+    "Scope",
+    "TabularTrainingMode",
+    "MonitorSignalType",
+    "MonitorMetricName",
+    "MonitorModelType",
+    "MonitorFeatureType",
+    "MonitorDatasetContext",
+    "MonitorTargetTasks",
+    "IPProtectionLevel",
+    "ListViewType",
+    "WorkspaceKind",
+]
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_assets.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_assets.py
new file mode 100644
index 00000000..aadfae7e
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_assets.py
@@ -0,0 +1,15 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from enum import Enum
+
+from azure.core import CaseInsensitiveEnumMeta
+
+from azure.ai.ml._utils._experimental import experimental
+
+
+@experimental
+class IPProtectionLevel(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    "Intellectual property protection level."
+    ALL = "all"
+    NONE = "none"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_common.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_common.py
new file mode 100644
index 00000000..647b261f
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_common.py
@@ -0,0 +1,1000 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from enum import Enum
+
+from azure.core import CaseInsensitiveEnumMeta
+
+AZUREML_CLOUD_ENV_NAME = "AZUREML_CURRENT_CLOUD"
+API_VERSION_2020_09_01_PREVIEW = "2020-09-01-preview"
+API_VERSION_2020_09_01_DATAPLANE = "2020-09-01-dataplanepreview"
+ONLINE_ENDPOINT_TYPE = "online"
+BATCH_ENDPOINT_TYPE = "batch"
+BASE_PATH_CONTEXT_KEY = "base_path"
+SOURCE_PATH_CONTEXT_KEY = "source_path"
+PARAMS_OVERRIDE_KEY = "params_override"
+TYPE = "type"
+JOBLIMITSTYPE = "JobLimitsType"
+DATA_ARM_TYPE = "data"
+ARM_ID_PREFIX = "azureml:"
+PROMPTFLOW_AZUREML_OVERRIDE_KEY = "azureml"
+CURATED_ENV_PREFIX = "AzureML-"
+FILE_PREFIX = "file:"
+FOLDER_PREFIX = "folder:"
+HTTP_PREFIX = "http"
+HTTPS_PREFIX = "https"
+ARM_ID_FULL_PREFIX = "/subscriptions/"
+AZUREML_RESOURCE_PROVIDER = "Microsoft.MachineLearningServices"
+RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}"
+NAMED_RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}/{}/{}"
+NAMED_RESOURCE_ID_FORMAT_WITH_PARENT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}/{}/{}/{}/{}"
+LEVEL_ONE_NAMED_RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/{}/{}"
+VERSIONED_RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}/{}/{}/versions/{}"
+LABELLED_RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}/{}/{}/labels/{}"
+DATASTORE_RESOURCE_ID = (
+    "/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/datastores/{}"
+)
+PROVIDER_RESOURCE_ID_WITH_VERSION = (
+    "/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/{}/{}/versions/{}"
+)
+SINGULARITY_ID_FORMAT = (
+    "/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/virtualclusters/{}"
+)
+SINGULARITY_ID_REGEX_FORMAT = (
+    "/subscriptions/.*/resourceGroups/.*/providers/Microsoft.MachineLearningServices/virtualclusters/.*"
+)
+SINGULARITY_FULL_NAME_REGEX_FORMAT = (
+    "^(azureml:)?//subscriptions/(?P<subscription_id>[^/]+)/resourceGroups/(?P<resource_group_name>[^/]+)/"
+    "virtualclusters/(?P<name>[^/]+)"
+)
+SINGULARITY_SHORT_NAME_REGEX_FORMAT = "^(azureml:)?//virtualclusters/(?P<name>[^/]+)"
+ASSET_ID_FORMAT = "azureml://locations/{}/workspaces/{}/{}/{}/versions/{}"
+VERSIONED_RESOURCE_NAME = "{}:{}"
+LABELLED_RESOURCE_NAME = "{}@{}"
+LABEL_SPLITTER = "@"
+PYTHON = "python"
+AML_TOKEN_YAML = "aml_token"
+AAD_TOKEN_YAML = "aad_token"
+KEY = "key"
+AAD_TOKEN = "aadtoken"
+AAD_TOKEN_RESOURCE_ENDPOINT = "https://ml.azure.com"
+EMPTY_CREDENTIALS_ERROR = (
+    "Credentials unavailable. Initialize credentials using 'MLClient' for SDK or 'az login' for CLI."
+)
+DEFAULT_ARM_RETRY_INTERVAL = 60
+COMPONENT_TYPE = "type"
+TID_FMT = "&tid={}"
+AZUREML_PRIVATE_FEATURES_ENV_VAR = "AZURE_ML_CLI_PRIVATE_FEATURES_ENABLED"
+AZUREML_INTERNAL_COMPONENTS_ENV_VAR = "AZURE_ML_INTERNAL_COMPONENTS_ENABLED"
+AZUREML_DISABLE_ON_DISK_CACHE_ENV_VAR = "AZURE_ML_DISABLE_ON_DISK_CACHE"
+AZUREML_COMPONENT_REGISTRATION_MAX_WORKERS = "AZURE_ML_COMPONENT_REGISTRATION_MAX_WORKERS"
+AZUREML_DISABLE_CONCURRENT_COMPONENT_REGISTRATION = "AZURE_ML_DISABLE_CONCURRENT_COMPONENT_REGISTRATION"
+AZUREML_INTERNAL_COMPONENTS_SCHEMA_PREFIX = "https://componentsdk.azureedge.net/jsonschema/"
+COMMON_RUNTIME_ENV_VAR = "AZUREML_COMPUTE_USE_COMMON_RUNTIME"
+ENDPOINT_DEPLOYMENT_START_MSG = (
+    "{}/#blade/HubsExtension/DeploymentDetailsBlade/overview/id/"
+    "%2Fsubscriptions%2F{}%2FresourceGroups%2F{}%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F{}\n"
+)
+AZUREML_LOCAL_ENDPOINTS_NOT_IMPLEMENTED_ERROR = "This operation for local endpoints is not supported yet."
+BATCH_JOB_NOT_SUPPORTED_ERROR_CODE = "BatchJobNotSupported"
+ENVIRONMENT_VARIABLES = "environment_variables"
+LIMITED_RESULTSET_WARNING_FORMAT = "Displaying top {} results from the list command."
+MAX_LIST_CLI_RESULTS = 50
+LOCAL_COMPUTE_TARGET = "local"
+LOCAL_COMPUTE_PROPERTY = "IsLocal"
+SERVERLESS_COMPUTE = "serverless"
+CONDA_FILE = "conda_file"
+DOCKER_FILE_NAME = "Dockerfile"
+COMPUTE_UPDATE_ERROR = (
+    "Only AmlCompute/KubernetesCompute cluster properties are supported, compute name {}, is {} type."
+)
+MAX_AUTOINCREMENT_ATTEMPTS = 3
+REGISTRY_URI_REGEX_FORMAT = "azureml://registries/*"
+REGISTRY_URI_FORMAT = "azureml://registries/"
+INTERNAL_REGISTRY_URI_FORMAT = "azureml://feeds/"
+REGISTRY_VERSION_PATTERN = "^azureml://registries/([^/]+)/([^/]+)/([^/]+)/versions/([^/]+)"
+REGISTRY_ASSET_ID = "azureml://registries/{}/{}/{}/versions/{}"
+SHORT_URI_FORMAT = "azureml://datastores/{}/paths/{}"
+DATASTORE_SHORT_URI = "azureml://datastores/"
+MLFLOW_URI_FORMAT = "runs:/{}/{}"
+JOB_URI_FORMAT = "azureml://jobs/{}/outputs/{}/paths/{}"
+LONG_URI_FORMAT = "azureml://subscriptions/{}/resourcegroups/{}/workspaces/{}/datastores/{}/paths/{}"
+SHORT_URI_REGEX_FORMAT = "azureml://datastores/([^/]+)/paths/(.+)"
+MLFLOW_URI_REGEX_FORMAT = "runs:/([^/?]+)/(.+)"
+AZUREML_REGEX_FORMAT = "azureml:([^/]+):(.+)"
+JOB_URI_REGEX_FORMAT = "azureml://jobs/([^/]+)/outputs/([^/]+)/paths/(.+)"
+OUTPUT_URI_REGEX_FORMAT = "azureml://datastores/([^/]+)/(ExperimentRun/.+)"
+LONG_URI_REGEX_FORMAT = (
+    "azureml://subscriptions/([^/]+)/resource[gG]roups/([^/]+)/workspaces/([^/]+)/datastores/([^/]+)/paths/(.+)"
+)
+ASSET_ARM_ID_REGEX_FORMAT = (
+    "azureml:/subscriptions/([^/]+)/resource[gG]roups/([^/]+)/"
+    "providers/Microsoft.MachineLearningServices/workspaces/([^/]+)/([^/]+)/([^/]+)/versions/(.+)"
+)
+ASSET_ID_REGEX_FORMAT = (
+    "azureml://subscriptions/([^/]+)/resource[gG]roups/([^/]+)/workspaces/([^/]+)/([^/]+)/([^/]+)/versions/(.+)"
+)
+ASSET_ID_RESOURCE_REGEX_FORMAT = "azureml://resource[gG]roups/([^/]+)/workspaces/([^/]+)/([^/]+)/([^/]+)/versions/(.+)"
+MODEL_ID_REGEX_FORMAT = "azureml://models/([^/]+)/versions/(.+)"
+DATA_ID_REGEX_FORMAT = "azureml://data/([^/]+)/versions/(.+)"
+ASSET_ID_URI_REGEX_FORMAT = "azureml://locations/([^/]+)/workspaces/([^/]+)/([^/]+)/([^/]+)/versions/(.+)"
+AZUREML_CLI_SYSTEM_EXECUTED_ENV_VAR = "AZUREML_CLI_SYSTEM_EXECUTED"
+DOCSTRING_TEMPLATE = ".. note::    {0} {1}\n\n"
+DOCSTRING_DEFAULT_INDENTATION = 8
+EXPERIMENTAL_CLASS_MESSAGE = "This is an experimental class,"
+EXPERIMENTAL_METHOD_MESSAGE = "This is an experimental method,"
+EXPERIMENTAL_FIELD_MESSAGE = "This is an experimental field,"
+EXPERIMENTAL_LINK_MESSAGE = (
+    "and may change at any time. Please see https://aka.ms/azuremlexperimental for more information."
+)
+REF_DOC_YAML_SCHEMA_ERROR_MSG_FORMAT = "\nVisit this link to refer to the {} schema if needed: {}."
+STORAGE_AUTH_MISMATCH_ERROR = "AuthorizationPermissionMismatch"
+SWEEP_JOB_BEST_CHILD_RUN_ID_PROPERTY_NAME = "best_child_run_id"
+BATCH_JOB_CHILD_RUN_OUTPUT_NAME = "score"
+DEFAULT_ARTIFACT_STORE_OUTPUT_NAME = "default"
+DEFAULT_EXPERIMENT_NAME = "Default"
+
+CREATE_ENVIRONMENT_ERROR_MESSAGE = (
+    "It looks like you are trying to specify a conda file for the --file/-f argument. "
+    "--file/-f is reserved for the Azure ML Environment definition (see schema here: {}). "
+    "To specify a conda file via command-line argument, please use --conda-file/-c argument."
+)
+ANONYMOUS_ENV_NAME = "CliV2AnonymousEnvironment"
+SKIP_VALIDATION_MESSAGE = "To skip this validation use the --skip-validation param"
+MLTABLE_METADATA_SCHEMA_URL_FALLBACK = "https://azuremlschemasprod.azureedge.net/latest/MLTable.schema.json"
+INVOCATION_BAT_FILE = "Invocation.bat"
+INVOCATION_BASH_FILE = "Invocation.sh"
+AZUREML_RUN_SETUP_DIR = "azureml-setup"
+AZUREML_RUNS_DIR = "azureml_runs"
+EXECUTION_SERVICE_URL_KEY = "&fake="
+LOCAL_JOB_FAILURE_MSG = "Failed to start local executable job.\n Detailed message: {}"
+STORAGE_ACCOUNT_URLS = {
+    "AzureBlob": "https://{}.blob.{}",
+    "AzureDataLakeGen2": "https://{}.dfs.{}",
+    "AzureFile": "https://{}.file.{}",
+}
+DEFAULT_STORAGE_CONNECTION_NAME = "workspaceblobstore"
+
+DEFAULT_LABEL_NAME = "default"
+DEFAULT_COMPONENT_VERSION = "azureml_default"
+ANONYMOUS_COMPONENT_NAME = "azureml_anonymous"
+GIT_PATH_PREFIX = "git+"
+SCHEMA_VALIDATION_ERROR_TEMPLATE = (
+    "\n{text_color}{description}\n{error_msg}{reset}\n\n"
+    "Details: {parsed_error_details}\n"
+    "Resolutions: {resolutions}"
+    "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\n"
+    "\nAdditional Resources: The easiest way to author a yaml specification file is using IntelliSense and "
+    "auto-completion Azure ML VS code extension provides: "
+    "{link_color}https://code.visualstudio.com/docs/datascience/azure-machine-learning.{reset} "
+    "To set up VS Code, visit {link_color}https://learn.microsoft.com/azure/machine-learning/how-to-setup-vs-"
+    "code{reset}\n"
+)
+
+YAML_CREATION_ERROR_DESCRIPTION = (
+    "The yaml file you provided does not match the prescribed schema "
+    "for {entity_type} yaml files and/or has the following issues:\n"
+)
+DATASTORE_SCHEMA_TYPES = [
+    "AzureFileSchema",
+    "AzureBlobSchema",
+    "AzureDataLakeGen2Schema",
+    "AzureStorageSchema",
+    "AzureDataLakeGen1Schema",
+]
+LOCAL_PATH = "local_path"
+SPARK_ENVIRONMENT_WARNING_MESSAGE = (
+    "Spark job will only install the packages defined in the Conda configuration. It "
+    "will not create a docker container using the image defined in the environment."
+)
+CONNECTION_API_VERSION_KEY = "ApiVersion"
+CONNECTION_API_TYPE_KEY = "ApiType"
+CONNECTION_KIND_KEY = "Kind"
+CONNECTION_CONTAINER_NAME_KEY = "ContainerName"
+CONNECTION_ACCOUNT_NAME_KEY = "AccountName"
+CONNECTION_RESOURCE_ID_KEY = "ResourceId"
+
+# Deprecated tag keys that cause workspace patch operations to fail
+# Patch operations are used by the workspace begin_upcate operation,
+# but not begin_create_or_update. Once the former is replaced with the
+# latter, we can remove this list.
+WORKSPACE_PATCH_REJECTED_KEYS = ["AttachKeyVaultToWorkspace", "AttachAppInsightsToWorkspace"]
+
+
+class WorkspaceDiscoveryUrlKey(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Enum that captures keys URL types returned from querying a workspace's discovery url."""
+
+    API = "api"
+    CATALOG = "catalog"
+    EXPERIMENTATION = "experimentation"
+    GALLERY = "gallery"
+    HISTORY = "history"
+    HYPERDRIVE = "hyperdrive"
+    LABELING = "labeling"
+    MODEL_MANAGEMENT = "modelmanagement"
+    PIPELINES = "pipelines"
+    STUDIO = "studio"
+
+
+class DefaultOpenEncoding:
+    """Enum that captures SDK's default values for the encoding param of open(...)"""
+
+    READ = "utf-8-sig"
+    """SDK Default Encoding when reading a file"""
+    WRITE = "utf-8"
+    """SDK Default Encoding when writing a file"""
+
+
+class AzureMLResourceType:
+    """AzureMLResourceType is a class that defines the resource types that are supported by the SDK/CLI."""
+
+    CODE = "codes"
+    """Code resource type."""
+    COMPUTE = "computes"
+    """Compute resource type."""
+    DATA = "data"
+    """Data resource type."""
+    DATASTORE = "datastores"
+    """Datastore resource type."""
+    ONLINE_ENDPOINT = "online_endpoints"
+    """Online endpoint resource type."""
+    BATCH_ENDPOINT = "batch_endpoints"
+    """Batch endpoint resource type."""
+    ONLINE_DEPLOYMENT = "online_deployments"
+    """Online deployment resource type."""
+    DEPLOYMENT = "deployments"
+    """Deployment resource type."""
+    BATCH_DEPLOYMENT = "batch_deployments"
+    """Batch deployment resource type."""
+    ENVIRONMENT = "environments"
+    """Environment resource type."""
+    JOB = "jobs"
+    """Job resource type."""
+    MODEL = "models"
+    """Model resource type."""
+    VIRTUALCLUSTER = "virtualclusters"
+    """Virtual cluster resource type."""
+    WORKSPACE = "workspaces"
+    """Workspace resource type."""
+    CAPABILITY_HOST = "capability_hosts"
+    """Capability_Host resource type."""
+    CONNECTION = "connections"
+    """connection resource type."""
+    COMPONENT = "components"
+    """Component resource type."""
+    SCHEDULE = "schedules"
+    """Schedule resource type."""
+    REGISTRY = "registries"
+    """Registry resource type."""
+    CONNECTIONS = "connections"
+    """Connections resource type."""
+    FEATURE_SET = "feature_sets"
+    """Feature set resource type."""
+    FEATURE_STORE_ENTITY = "feature_store_entities"
+    """Feature store entity resource type."""
+    FEATURE_STORE = "feature_store"
+    """Feature store resource type."""
+    HUB = "hub"
+    """Hub resource type."""
+    PROJECT = "project"
+    """Project resource type."""
+    SERVERLESS_ENDPOINT = "serverless_endpoints"
+    """Serverless endpoint resource type."""
+    MARKETPLACE_SUBSCRIPTION = "marketplace_subscriptions"
+    """Marketplace subscription resource type."""
+    INDEX = "indexes"
+    """Index resource type."""
+
+    NAMED_TYPES = {
+        JOB,
+        COMPUTE,
+        WORKSPACE,
+        ONLINE_ENDPOINT,
+        ONLINE_DEPLOYMENT,
+        DATASTORE,
+        SCHEDULE,
+    }
+    VERSIONED_TYPES = {MODEL, DATA, CODE, ENVIRONMENT, COMPONENT, FEATURE_SET, FEATURE_STORE_ENTITY, INDEX}
+
+
+class ArmConstants:
+    """ArmConstants is a class that defines the constants used by the SDK/CLI for ARM operations.
+
+    ArmConstants are used to define the names of the parameters that are used in the ARM templates that are used by the
+    SDK/CLI.
+    """
+
+    CODE_PARAMETER_NAME = "codes"
+    CODE_VERSION_PARAMETER_NAME = "codeVersions"
+    MODEL_PARAMETER_NAME = "models"
+    MODEL_VERSION_PARAMETER_NAME = "modelVersions"
+    ENVIRONMENT_PARAMETER_NAME = "environments"
+    WORKSPACE_PARAMETER_NAME = "workspaceName"
+    LOCATION_PARAMETER_NAME = "location"
+    ENDPOINT_IDENTITY_PARAMETER_NAME = "onlineEndpointIdentity"
+    ENDPOINT_PARAMETER_NAME = "onlineEndpoint"
+    ENDPOINT_PROPERTIES_PARAMETER_NAME = "onlineEndpointProperties"
+    ENDPOINT_PROPERTIES_TRAFFIC_UPDATE_PARAMETER_NAME = "onlineEndpointPropertiesTrafficUpdate"
+    ENDPOINT_NAME_PARAMETER_NAME = "onlineEndpointName"
+    ENDPOINT_TAGS_PARAMETER_NAME = "onlineEndpointTags"
+    DEPLOYMENTS_PARAMETER_NAME = "onlineDeployments"
+    PROPERTIES_PARAMETER_NAME = "properties"
+    DEPENDSON_PARAMETER_NAME = "dependsOn"
+    TRAFFIC_PARAMETER_NAME = "trafficRules"
+    CODE_RESOURCE_NAME = "codeDeploymentCopy"
+    CODE_VERSION_RESOURCE_NAME = "codeVersionDeploymentCopy"
+    MODEL_RESOURCE_NAME = "modelDeploymentCopy"
+    MODEL_VERSION_RESOURCE_NAME = "modelVersionDeploymentCopy"
+    ENVIRONMENT_VERSION_RESOURCE_NAME = "environmentVersionDeploymentCopy"
+    ONLINE_DEPLOYMENT_RESOURCE_NAME = "onlineDeploymentCopy"
+    ONLINE_ENDPOINT_RESOURCE_NAME = "onlineEndpointCopy"
+    UPDATE_RESOURCE_NAME = "updateEndpointWithTraffic"
+    ENDPOINT_CREATE_OR_UPDATE_PARAMETER_NAME = "endpointCreateOrUpdate"
+    TAGS = "tags"
+    SKU = "sku"
+    KEY_VAULT_PARAMETER_NAME = "vaults"
+    STORAGE_ACCOUNT_PARAMETER_NAME = "storageAccounts"
+    APP_INSIGHTS_PARAMETER_NAME = "components"
+    CONTAINER_REGISTRY_PARAMETER_NAME = "registries"
+    USER_ASSIGNED_IDENTITIES = "userAssignedIdentities"
+
+    CODE_TYPE = "code"
+    CODE_VERSION_TYPE = "code_version"
+    MODEL_TYPE = "model"
+    MODEL_VERSION_TYPE = "model_version"
+    ENVIRONMENT_TYPE = "environment"
+    ENVIRONMENT_VERSION_TYPE = "environment_version"
+    ONLINE_ENDPOINT_TYPE = "online_endpoint"
+    MULTIPLE_ENDPOINTS_TYPE = "endpoints"
+    ONLINE_DEPLOYMENT_TYPE = "online_deployment"
+    UPDATE_ONLINE_ENDPOINT_TYPE = "update_online_endpoint"
+    BASE_TYPE = "base"
+    WORKSPACE_BASE = "workspace_base"
+    WORKSPACE_PARAM = "workspace_param"
+    ROLE_ASSIGNMENTS = "roleAssignments"
+    FEATURE_STORE_ROLE_ASSIGNMENTS = "feature_store_role_assignments"
+    FEATURE_STORE_ROLE_ASSIGNMENTS_PARAM = "feature_store_role_assignments_param"
+    WORKSPACE_PROJECT = "workspace_project"
+
+    OPERATION_CREATE = "create"
+    OPERATION_UPDATE = "update"
+    NAME = "name"
+    VERSION = "version"
+    ASSET_PATH = "assetPath"
+    DATASTORE_ID = "datastoreId"
+    OBJECT = "Object"
+    ARRAY = "Array"
+    STRING = "String"
+    DEFAULT_VALUE = "defaultValue"
+
+    STORAGE = "StorageAccount"
+    STORAGE_CONTAINER = "StorageContainer"
+    KEY_VAULT = "KeyVault"
+    APP_INSIGHTS = "AppInsights"
+    LOG_ANALYTICS = "LogAnalytics"
+    WORKSPACE = "Workspace"
+    CONTAINER_REGISTRY = "ContainerRegistry"
+
+    AZURE_MGMT_RESOURCE_API_VERSION = "2020-06-01"
+    AZURE_MGMT_STORAGE_API_VERSION = "2019-06-01"
+    AZURE_MGMT_APPINSIGHT_API_VERSION = "2015-05-01"
+    AZURE_MGMT_LOGANALYTICS_API_VERSION = "2015-03-20"
+    AZURE_MGMT_KEYVAULT_API_VERSION = "2019-09-01"
+    AZURE_MGMT_CONTAINER_REG_API_VERSION = "2019-05-01"
+
+    DEFAULT_URL = "https://management.azure.com/metadata/endpoints?api-version=2019-05-01"
+    METADATA_URL_ENV_NAME = "ARM_CLOUD_METADATA_URL"
+    REGISTRY_DISCOVERY_DEFAULT_REGION = "west"
+    REGISTRY_DISCOVERY_REGION_ENV_NAME = "REGISTRY_DISCOVERY_ENDPOINT_REGION"
+    REGISTRY_ENV_URL = "REGISTRY_DISCOVERY_ENDPOINT_URL"
+
+
+class HttpResponseStatusCode:
+    """Http response status code."""
+
+    NOT_FOUND = 404
+    """Not found."""
+
+
+class OperationStatus:
+    """Operation status class.
+
+    Operation status is used to indicate the status of an operation. It can be one of the following values: Succeeded,
+    Failed, Canceled, Running.
+    """
+
+    SUCCEEDED = "Succeeded"
+    """Succeeded."""
+    FAILED = "Failed"
+    """Failed."""
+    CANCELED = "Canceled"
+    """Canceled."""
+    RUNNING = "Running"
+    """Running."""
+
+
+class CommonYamlFields:
+    """Common yaml fields.
+
+    Common yaml fields are used to define the common fields in yaml files. It can be one of the following values: type,
+    name, $schema.
+    """
+
+    TYPE = "type"
+    """Type."""
+    NAME = "name"
+    """Name."""
+    SCHEMA = "$schema"
+    """Schema."""
+    KIND = "kind"
+
+
+class SchemaUrl:
+    """Schema urls.
+
+    Schema urls will be used in VSCode extension to validate yaml files. It will also be used to identify the
+    corresponding entity type of a yaml file, especially for some internal yaml files.
+    """
+
+    PROMPTFLOW_PREFIX = "https://azuremlschemas.azureedge.net/promptflow/"
+    PROMPTFLOW_FLOW = PROMPTFLOW_PREFIX + "latest/Flow.schema.json"
+    PROMPTFLOW_RUN = PROMPTFLOW_PREFIX + "latest/Run.schema.json"
+
+
+class GitProperties:
+    """GitProperties is a class that defines the constants used by the SDK/CLI for Git operations.
+
+    Gitproperties are used to define the names of the properties that are used in the Git operations that are used by
+    the SDK/CLI. These properties are used to set the Git properties in the run history.
+    """
+
+    ENV_REPOSITORY_URI = "AZUREML_GIT_REPOSITORY_URI"
+    ENV_BRANCH = "AZUREML_GIT_BRANCH"
+    ENV_COMMIT = "AZUREML_GIT_COMMIT"
+    ENV_DIRTY = "AZUREML_GIT_DIRTY"
+    ENV_BUILD_ID = "AZUREML_GIT_BUILD_ID"
+    ENV_BUILD_URI = "AZUREML_GIT_BUILD_URI"
+
+    PROP_DIRTY = "azureml.git.dirty"
+    PROP_BUILD_ID = "azureml.git.build_id"
+    PROP_BUILD_URI = "azureml.git.build_uri"
+
+    PROP_MLFLOW_GIT_BRANCH = "mlflow.source.git.branch"
+    PROP_MLFLOW_GIT_COMMIT = "mlflow.source.git.commit"
+    PROP_MLFLOW_GIT_REPO_URL = "mlflow.source.git.repoURL"
+
+
+class LROConfigurations:
+    """LRO configurations class.
+
+    LRO configurations are used to define the configurations for long running operations. It can be one of the following
+    values: MAX_WAIT_COUNT, POLLING_TIMEOUT, POLL_INTERVAL, SLEEP_TIME.
+    """
+
+    MAX_WAIT_COUNT = 400
+    """Max wait count."""
+    POLLING_TIMEOUT = 720
+    """Polling timeout."""
+    POLL_INTERVAL = 5
+    """Poll interval."""
+    SLEEP_TIME = 5
+    """Sleep time."""
+
+
+class OrderString:
+    """Order string class.
+
+    Order string is used to define the order string for list operations. It can be one of the following values:
+    CREATED_AT, CREATED_AT_DESC.
+    """
+
+    CREATED_AT = "createdtime asc"
+    """Created at."""
+    CREATED_AT_DESC = "createdtime desc"
+    """Created at desc."""
+
+
+class YAMLRefDocLinks:
+    """YAML reference document links.
+
+    YAML reference document links are used to define the reference document links for yaml files.
+    """
+
+    WORKSPACE = "https://aka.ms/ml-cli-v2-workspace-yaml-reference"
+    ENVIRONMENT = "https://aka.ms/ml-cli-v2-environment-yaml-reference"
+    DATA = "https://aka.ms/ml-cli-v2-data-yaml-reference"
+    MODEL = "https://aka.ms/ml-cli-v2-model-yaml-reference"
+    AML_COMPUTE = "https://aka.ms/ml-cli-v2-compute-aml-yaml-reference"
+    COMPUTE_INSTANCE = "https://aka.ms/ml-cli-v2-compute-instance-yaml-reference"
+    VIRTUAL_MACHINE_COMPUTE = "https://aka.ms/ml-cli-v2-compute-vm-yaml-reference"
+    COMMAND_JOB = "https://aka.ms/ml-cli-v2-job-command-yaml-reference"
+    PARALLEL_JOB = "https://aka.ms/ml-cli-v2-job-parallel-yaml-reference"
+    SWEEP_JOB = "https://aka.ms/ml-cli-v2-job-sweep-yaml-reference"
+    PIPELINE_JOB = "https://aka.ms/ml-cli-v2-job-pipeline-yaml-reference"
+    DATASTORE_BLOB = "https://aka.ms/ml-cli-v2-datastore-blob-yaml-reference"
+    DATASTORE_FILE = "https://aka.ms/ml-cli-v2-datastore-file-yaml-reference"
+    DATASTORE_DATA_LAKE_GEN_1 = "https://aka.ms/ml-cli-v2-datastore-data-lake-gen1-yaml-reference"
+    DATASTORE_DATA_LAKE_GEN_2 = "https://aka.ms/ml-cli-v2-datastore-data-lake-gen2-yaml-reference"
+    ONLINE_ENDPOINT = "https://aka.ms/ml-cli-v2-endpoint-online-yaml-reference"
+    BATCH_ENDPOINT = "https://aka.ms/ml-cli-v2-endpoint-batch-yaml-reference"
+    MANAGED_ONLINE_DEPLOYMENT = "https://aka.ms/ml-cli-v2-deployment-managed-online-yaml-reference"
+    KUBERNETES_ONLINE_DEPLOYMENT = "https://aka.ms/ml-cli-v2-deployment-kubernetes-online-yaml-reference"
+    BATCH_DEPLOYMENT = "https://aka.ms/ml-cli-v2-deployment-batch-yaml-reference"
+    COMMAND_COMPONENT = "https://aka.ms/ml-cli-v2-component-command-yaml-reference"
+    PARALLEL_COMPONENT = "https://aka.ms/ml-cli-v2-component-parallel-yaml-reference"
+    JOB_SCHEDULE = "https://aka.ms/ml-cli-v2-schedule-yaml-reference"
+    REGISTRY = "https://aka.ms/ml-cli-v2-registry-yaml-reference"
+    FEATURE_STORE = "https://aka.ms/ml-cli-v2-featurestore-yaml-reference"
+    FEATURE_SET = "https://aka.ms/ml-cli-v2-featureset-yaml-reference"
+    FEATURE_STORE_ENTITY = "https://aka.ms/ml-cli-v2-featurestore-entity-yaml-reference"
+    HUB = "https://aka.ms/ml-cli-v2-workspace-hub-entity-yaml-reference"
+    CAPABILITY_HOST = "https://aka.ms/ml-cli-v2-capability-host-yaml-reference"
+
+
+class YAMLRefDocSchemaNames:
+    """YAML reference document schema names.
+
+    YAML reference document schema names are used to define the reference document schema names for yaml files.
+    """
+
+    WORKSPACE = "Workspace"
+    """Workspace."""
+    ENVIRONMENT = "Environment"
+    """Environment."""
+    DATA = "Data"
+    """Data."""
+    MODEL = "Model"
+    """Model."""
+    AML_COMPUTE = "AMLCompute"
+    """AML compute."""
+    COMPUTE_INSTANCE = "ComputeInstance"
+    """Compute instance."""
+    VIRTUAL_MACHINE_COMPUTE = "VirtualMachineCompute"
+    """Virtual machine compute."""
+    COMMAND_JOB = "CommandJob"
+    """Command job."""
+    SWEEP_JOB = "SweepJob"
+    """Sweep job."""
+    PARALLEL_JOB = "ParallelJob"
+    """Parallel job."""
+    PIPELINE_JOB = "PipelineJob"
+    """Pipeline job."""
+    DATASTORE_BLOB = "AzureBlobDatastore"
+    """Azure blob datastore."""
+    DATASTORE_FILE = "AzureFileDatastore"
+    """Azure file datastore."""
+    DATASTORE_DATA_LAKE_GEN_1 = "AzureDataLakeGen1Datastore"
+    """Azure data lake gen 1 datastore."""
+    DATASTORE_DATA_LAKE_GEN_2 = "AzureDataLakeGen2Datastore"
+    """Azure data lake gen 2 datastore."""
+    ONLINE_ENDPOINT = "OnlineEndpoint"
+    """Online endpoint."""
+    BATCH_ENDPOINT = "BatchEndpoint"
+    """Batch endpoint."""
+    MANAGED_ONLINE_DEPLOYMENT = "ManagedOnlineDeployment"
+    """Managed online deployment."""
+    KUBERNETES_ONLINE_DEPLOYMENT = "KubernetesOnlineDeployment"
+    """Kubernetes online deployment."""
+    BATCH_DEPLOYMENT = "BatchDeployment"
+    """Batch deployment."""
+    COMMAND_COMPONENT = "CommandComponent"
+    """Command component."""
+    PARALLEL_COMPONENT = "ParallelComponent"
+    """Parallel component."""
+    JOB_SCHEDULE = "JobSchedule"
+    """Job Schedule."""
+    CAPABILITY_HOST = "CapabilityHost"
+    """Capability host."""
+
+
+class DockerTypes:
+    """Docker types accepted by the SDK/CLI.
+
+    Docker types are used to define the docker types accepted by the SDK/CLI.
+    """
+
+    IMAGE = "Image"
+    """Image."""
+    BUILD = "Build"
+    """Build."""
+
+
+class DataType:
+    """Data types that a job or compute instance schedule accepts.
+
+    The supported data types are: simple and dataflow.
+    """
+
+    SIMPLE = "Simple"
+    """Simple data type."""
+    DATAFLOW = "Dataflow"
+    """Dataflow data type."""
+
+
+class LoggingLevel:
+    """Logging levels that a job or compute instance schedule accepts.
+
+    Logging levels are case-insensitive. For example, "WARNING" and "warning" are both valid. The  supported logging
+    levels are: warning, info, and debug.
+    """
+
+    WARN = "WARNING"
+    INFO = "INFO"
+    DEBUG = "DEBUG"
+
+
+class TimeZone(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Time zones that a job or compute instance schedule accepts."""
+
+    DATELINE_STANDARD_TIME = "Dateline Standard Time"
+    UTC_11 = "UTC-11"
+    ALEUTIAN_STANDARD_TIME = "Aleutian Standard Time"
+    HAWAIIAN_STANDARD_TIME = "Hawaiian Standard Time"
+    MARQUESAS_STANDARD_TIME = "Marquesas Standard Time"
+    ALASKAN_STANDARD_TIME = "Alaskan Standard Time"
+    UTC_09 = "UTC-09"
+    PACIFIC_STANDARD_TIME_MEXICO = "Pacific Standard Time (Mexico)"
+    UTC_08 = "UTC-08"
+    PACIFIC_STANDARD_TIME = "Pacific Standard Time"
+    US_MOUNTAIN_STANDARD_TIME = "US Mountain Standard Time"
+    MOUNTAIN_STANDARD_TIME_MEXICO = "Mountain Standard Time (Mexico)"
+    MOUNTAIN_STANDARD_TIME = "Mountain Standard Time"
+    CENTRAL_AMERICA_STANDARD_TIME = "Central America Standard Time"
+    CENTRAL_STANDARD_TIME = "Central Standard Time"
+    EASTER_ISLAND_STANDARD_TIME = "Easter Island Standard Time"
+    CENTRAL_STANDARD_TIME_MEXICO = "Central Standard Time (Mexico)"
+    CANADA_CENTRAL_STANDARD_TIME = "Canada Central Standard Time"
+    SA_PACIFIC_STANDARD_TIME = "SA Pacific Standard Time"
+    EASTERN_STANDARD_TIME_MEXICO = "Eastern Standard Time (Mexico)"
+    EASTERN_STANDARD_TIME = "Eastern Standard Time"
+    HAITI_STANDARD_TIME = "Haiti Standard Time"
+    CUBA_STANDARD_TIME = "Cuba Standard Time"
+    US_EASTERN_STANDARD_TIME = "US Eastern Standard Time"
+    PARAGUAY_STANDARD_TIME = "Paraguay Standard Time"
+    ATLANTIC_STANDARD_TIME = "Atlantic Standard Time"
+    VENEZUELA_STANDARD_TIME = "Venezuela Standard Time"
+    CENTRAL_BRAZILIAN_STANDARD_TIME = "Central Brazilian Standard Time"
+    SA_WESTERN_STANDARD_TIME = "SA Western Standard Time"
+    PACIFIC_SA_STANDARD_TIME = "Pacific SA Standard Time"
+    TURKS_AND_CAICOS_STANDARD_TIME = "Turks And Caicos Standard Time"
+    NEWFOUNDLAND_STANDARD_TIME = "Newfoundland Standard Time"
+    TOCANTINS_STANDARD_TIME = "Tocantins Standard Time"
+    E_SOUTH_AMERICAN_STANDARD_TIME = "E. South America Standard Time"
+    SA_EASTERN_STANDARD_TIME = "SA Eastern Standard Time"
+    ARGENTINA_STANDARD_TIME = "Argentina Standard Time"
+    GREENLAND_STANDARD_TIME = "Greenland Standard Time"
+    MONTEVIDEO_STANDARD_TIME = "Montevideo Standard Time"
+    SAINT_PIERRE_STANDARD_TIME = "Saint Pierre Standard Time"
+    BAHIA_STANDARD_TIME = "Bahia Standard Time"
+    UTC_02 = "UTC-02"
+    MID_ATLANTIC_STANDARD_TIME = "Mid-Atlantic Standard Time"
+    AZORES_STANDARD_TIME = "Azores Standard Time"
+    CAPE_VERDE_STANDARD_TIME = "Cape Verde Standard Time"
+    UTC = "UTC"
+    MOROCCO_STANDARD_TIME = "Morocco Standard Time"
+    GMT_STANDARD_TIME = "GMT Standard Time"
+    GREENWICH_STANDARD_TIME = "Greenwich Standard Time"
+    W_EUROPE_STANDARD_TIME = "W. Europe Standard Time"
+    CENTRAL_EUROPE_STANDARD_TIME = "Central Europe Standard Time"
+    ROMANCE_STANDARD_TIME = "Romance Standard Time"
+    CENTRAL_EUROPEAN_STANDARD_TIME = "Central European Standard Time"
+    W_CENTEAL_AFRICA_STANDARD_TIME = "W. Central Africa Standard Time"
+    NAMIBIA_STANDARD_TIME = "Namibia Standard Time"
+    JORDAN_STANDARD_TIME = "Jordan Standard Time"
+    GTB_STANDARD_TIME = "GTB Standard Time"
+    MIDDLE_EAST_STANDARD_TIME = "Middle East Standard Time"
+    EGYPT_STANDARD_TIME = "Egypt Standard Time"
+    E_EUROPE_STANDARD_TIME = "E. Europe Standard Time"
+    SYRIA_STANDARD_TIME = "Syria Standard Time"
+    WEST_BANK_STANDARD_TIME = "West Bank Standard Time"
+    SOUTH_AFRICA_STANDARD_TIME = "South Africa Standard Time"
+    FLE_STANDARD_TIME = "FLE Standard Time"
+    TURKEY_STANDARD_TIME = "Turkey Standard Time"
+    ISRAEL_STANDARD_TIME = "Israel Standard Time"
+    KALININGRAD_STANDARD_TIME = "Kaliningrad Standard Time"
+    LIBYA_STANDARD_TIME = "Libya Standard Time"
+    ARABIC_STANDARD_TIME = "Arabic Standard Time"
+    ARAB_STANDARD_TIME = "Arab Standard Time"
+    BELARUS_STANDARD_TIME = "Belarus Standard Time"
+    RUSSIAN_STANDARD_TIME = "Russian Standard Time"
+    E_AFRICA_STANDARD_TIME = "E. Africa Standard Time"
+    IRAN_STANDARD_TIME = "Iran Standard Time"
+    ARABIAN_STANDARD_TIME = "Arabian Standard Time"
+    ASTRAKHAN_STANDARD_TIME = "Astrakhan Standard Time"
+    AZERBAIJAN_STANDARD_TIME = "Azerbaijan Standard Time"
+    RUSSIA_TIME_ZONE_3 = "Russia Time Zone 3"
+    MAURITIUS_STANDARD_TIME = "Mauritius Standard Time"
+    GEORGIAN_STANDARD_TIME = "Georgian Standard Time"
+    CAUCASUS_STANDARD_TIME = "Caucasus Standard Time"
+    AFGHANISTANA_STANDARD_TIME = "Afghanistan Standard Time"
+    WEST_ASIA_STANDARD_TIME = "West Asia Standard Time"
+    EKATERINBURG_STANDARD_TIME = "Ekaterinburg Standard Time"
+    PAKISTAN_STANDARD_TIME = "Pakistan Standard Time"
+    INDIA_STANDARD_TIME = "India Standard Time"
+    SRI_LANKA_STANDARD_TIME = "Sri Lanka Standard Time"
+    NEPAL_STANDARD_TIME = "Nepal Standard Time"
+    CENTRAL_ASIA_STANDARD_TIME = "Central Asia Standard Time"
+    BANGLADESH_STANDARD_TIME = "Bangladesh Standard Time"
+    N_CENTRAL_ASIA_STANDARD_TIME = "N. Central Asia Standard Time"
+    MYANMAR_STANDARD_TIME = "Myanmar Standard Time"
+    SE_ASIA_STANDARD_TIME = "SE Asia Standard Time"
+    ALTAI_STANDARD_TIME = "Altai Standard Time"
+    W_MONGOLIA_STANDARD_TIME = "W. Mongolia Standard Time"
+    NORTH_ASIA_STANDARD_TIME = "North Asia Standard Time"
+    TOMSK_STANDARD_TIME = "Tomsk Standard Time"
+    CHINA_STANDARD_TIME = "China Standard Time"
+    NORTH_ASIA_EAST_STANDARD_TIME = "North Asia East Standard Time"
+    SINGAPORE_STANDARD_TIME = "Singapore Standard Time"
+    W_AUSTRALIA_STANDARD_TIME = "W. Australia Standard Time"
+    TAIPEI_STANDARD_TIME = "Taipei Standard Time"
+    ULAANBAATAR_STANDARD_TIME = "Ulaanbaatar Standard Time"
+    NORTH_KOREA_STANDARD_TIME = "North Korea Standard Time"
+    AUS_CENTRAL_W_STANDARD_TIME = "Aus Central W. Standard Time"
+    TRANSBAIKAL_STANDARD_TIME = "Transbaikal Standard Time"
+    TOKYO_STANDARD_TIME = "Tokyo Standard Time"
+    KOREA_STANDARD_TIME = "Korea Standard Time"
+    YAKUTSK_STANDARD_TIME = "Yakutsk Standard Time"
+    CEN_AUSTRALIA_STANDARD_TIME = "Cen. Australia Standard Time"
+    AUS_CENTRAL_STANDARD_TIME = "AUS Central Standard Time"
+    E_AUSTRALIAN_STANDARD_TIME = "E. Australia Standard Time"
+    AUS_EASTERN_STANDARD_TIME = "AUS Eastern Standard Time"
+    WEST_PACIFIC_STANDARD_TIME = "West Pacific Standard Time"
+    TASMANIA_STANDARD_TIME = "Tasmania Standard Time"
+    VLADIVOSTOK_STANDARD_TIME = "Vladivostok Standard Time"
+    LORD_HOWE_STANDARD_TIME = "Lord Howe Standard Time"
+    BOUGAINVILLE_STANDARD_TIME = "Bougainville Standard Time"
+    RUSSIA_TIME_ZONE_10 = "Russia Time Zone 10"
+    MAGADAN_STANDARD_TIME = "Magadan Standard Time"
+    NORFOLK_STANDARD_TIME = "Norfolk Standard Time"
+    SAKHALIN_STANDARD_TIME = "Sakhalin Standard Time"
+    CENTRAL_PACIFIC_STANDARD_TIME = "Central Pacific Standard Time"
+    RUSSIA_TIME_ZONE_11 = "Russia Time Zone 11"
+    NEW_ZEALAND_STANDARD_TIME = "New Zealand Standard Time"
+    UTC_12 = "UTC+12"
+    FIJI_STANDARD_TIME = "Fiji Standard Time"
+    KAMCHATKA_STANDARD_TIME = "Kamchatka Standard Time"
+    CHATHAM_ISLANDS_STANDARD_TIME = "Chatham Islands Standard Time"
+    TONGA__STANDARD_TIME = "Tonga Standard Time"
+    SAMOA_STANDARD_TIME = "Samoa Standard Time"
+    LINE_ISLANDS_STANDARD_TIME = "Line Islands Standard Time"
+
+
+class AssetTypes:
+    """AssetTypes is an enumeration of values for the asset types of a dataset.
+
+    Asset types are used to identify the type of an asset. An asset can be a file, folder, mlflow model, triton model,
+    mltable or custom model.
+    """
+
+    URI_FILE = "uri_file"
+    """URI file asset type."""
+    URI_FOLDER = "uri_folder"
+    """URI folder asset type."""
+    MLTABLE = "mltable"
+    """MLTable asset type."""
+    MLFLOW_MODEL = "mlflow_model"
+    """MLFlow model asset type."""
+    TRITON_MODEL = "triton_model"
+    """Triton model asset type."""
+    CUSTOM_MODEL = "custom_model"
+    """Custom model asset type."""
+
+
+class InputTypes:
+    """InputTypes is an enumeration of values for the input types of a dataset.
+
+    Input types are used to identify the type of an asset.
+    """
+
+    INTEGER = "integer"
+    """Integer input type."""
+    NUMBER = "number"
+    """Number input type."""
+    STRING = "string"
+    """String input type."""
+    BOOLEAN = "boolean"
+    """Boolean input type."""
+
+
+class WorkspaceResourceConstants:
+    """WorkspaceResourceConstants is an enumeration of values for the encryption status of a workspace.
+
+    :param object: Flag to indicate that if the encryption is enabled or not.
+    :type object: str
+    """
+
+    ENCRYPTION_STATUS_ENABLED = "Enabled"
+    """Encryption is enabled."""
+
+
+class InputOutputModes:
+    """InputOutputModes is an enumeration of values for the input/output modes of a dataset.
+
+    Input/output modes are used to identify the type of an asset when it is created using the API.
+    """
+
+    MOUNT = "mount"
+    """Mount asset type."""
+
+    DOWNLOAD = "download"
+    """Download asset type."""
+    UPLOAD = "upload"
+    """Upload asset type."""
+    RO_MOUNT = "ro_mount"
+    """Read-only mount asset type."""
+    RW_MOUNT = "rw_mount"
+    """Read-write mount asset type."""
+    EVAL_MOUNT = "eval_mount"
+    """Evaluation mount asset type."""
+    EVAL_DOWNLOAD = "eval_download"
+    """Evaluation download asset type."""
+    DIRECT = "direct"
+    """Direct asset type."""
+
+
+class ConnectionTypes:
+    """Names for connection types that are different from that underlying api enum values
+    from the ConnectionCategory class."""
+
+    CUSTOM = "custom"  # Corresponds to "custom_keys".
+    AZURE_DATA_LAKE_GEN_2 = "azure_data_lake_gen2"  # Corresponds to "alds_gen2".
+    AZURE_CONTENT_SAFETY = "azure_content_safety"  # Corresponds to "cognitive_service" with kind "content_safety".
+    AZURE_SPEECH_SERVICES = "azure_speech_services"  # Corresponds to "cognitive_service" with kind "speech".
+    AZURE_SEARCH = "azure_ai_search"  # Corresponds to "cognitive_search"
+    AZURE_AI_SERVICES = "azure_ai_services"  # Corresponds to "ai_services"
+    AI_SERVICES_REST_PLACEHOLDER = "AIServices"  # placeholder until REST enum "ai_services" is published.
+
+
+class OneLakeArtifactTypes:
+    """Names for fabric types that specific sub-types of MicrosoftOneLakeConnections"""
+
+    ONE_LAKE = "lake_house"
+
+
+class CognitiveServiceKinds:
+    """Subtypes for connections using the Cognitive service type. These
+    values are plugged into the connection's metadata."""
+
+    CONTENT_SAFETY = "Content Safety"
+    SPEECH = "speech"
+
+
+class LegacyAssetTypes:
+    """LegacyAssetTypes is an enumeration of values for the legacy asset types.
+
+    Legacy asset types are used to identify the type of an asset when it is created using the legacy API.
+    """
+
+    PATH = "path"
+    """Path asset type."""
+
+
+class PublicNetworkAccess:
+    """PublicNetworkAccess is an enumeration of values for the public network access setting for a workspace.
+
+    Public network access can be 'Enabled' or 'Disabled'. When enabled, Azure Machine Learning will allow all network
+    traffic to the workspace. When disabled, Azure Machine Learning will only allow traffic from the Azure Virtual
+    Network that the workspace is in.
+    """
+
+    ENABLED = "Enabled"
+    """Enable public network access."""
+    DISABLED = "Disabled"
+    """Disable public network access."""
+
+
+class ModelType:
+    """ModelType is an enumeration of values for the model types.
+
+    Model types are used to identify the type of a model when it is created using the API. Model types can be
+    'CustomModel', 'MLFlowModel' or 'TritonModel'.
+    """
+
+    CUSTOM = "CustomModel"
+    """Custom model type."""
+    MLFLOW = "MLFlowModel"
+    """MLFlow model type."""
+    TRITON = "TritonModel"
+    """Triton model type."""
+
+
+class RollingRate:
+    """RollingRate is an enumeration of values for the rolling rate of a dataset.
+
+    Rolling rate can be 'day', 'hour' or 'minute'.
+    """
+
+    DAY = "day"
+    """Day rolling rate."""
+    HOUR = "hour"
+    """Hour rolling rate."""
+    MINUTE = "minute"
+    """Minute rolling rate."""
+
+
+class Scope:
+    """Scope is an enumeration of values for the scope of an asset.
+
+    Scope can be 'subscription' or 'resource_group'.
+    """
+
+    SUBSCRIPTION = "subscription"
+    """Subscription scope."""
+    RESOURCE_GROUP = "resource_group"
+    """Resource group scope."""
+
+
+class IdentityType:
+    """IdentityType is an enumeration of values for the identity type of a workspace.
+
+    Identity type can be 'aml_token', 'user_identity' or 'managed_identity'.
+    """
+
+    AML_TOKEN = "aml_token"
+    """AML Token identity type."""
+    USER_IDENTITY = "user_identity"
+    """User identity type."""
+    MANAGED_IDENTITY = "managed_identity"
+    """Managed identity type."""
+
+
+class Boolean:
+    """Boolean is an enumeration of values for the boolean type.
+
+    Boolean type can be 'true' or 'false'.
+    """
+
+    TRUE = "true"
+    """True boolean type."""
+    FALSE = "false"
+    """False boolean type."""
+
+
+class InferenceServerType:
+    AZUREML_ONLINE = "azureml_online"
+    AZUREML_BATCH = "azureml_batch"
+    TRITON = "triton"
+    CUSTOM = "custom"
+
+
+class AzureDevopsArtifactsType:
+    ARTIFACT = "artifact"
+
+
+class DataIndexTypes:
+    """DataIndexTypes is an enumeration of values for the types out indexes which can be written to by DataIndex."""
+
+    ACS = "acs"
+    """Azure Cognitive Search index type."""
+    PINECONE = "pinecone"
+    """Pinecone index type."""
+    FAISS = "faiss"
+    """Faiss index type."""
+
+
+class IndexInputType:
+    """An enumeration of values for the types of input data for an index."""
+
+    GIT = "git"
+    LOCAL = "local"
+
+
+class ScheduleType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    JOB = "job"
+    MONITOR = "monitor"
+    DATA_IMPORT = "data_import"
+
+
+class AutoDeleteCondition(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    CREATED_GREATER_THAN = "created_greater_than"
+    LAST_ACCESSED_GREATER_THAN = "last_accessed_greater_than"
+
+
+class WorkspaceKind:
+    """Enum of workspace categories."""
+
+    DEFAULT = "default"
+    HUB = "hub"
+    PROJECT = "project"
+    FEATURE_STORE = "featurestore"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_component.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_component.py
new file mode 100644
index 00000000..c8752c68
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_component.py
@@ -0,0 +1,150 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Dict
+
+DO_WHILE_MAX_ITERATION = 1000
+
+
+class ComponentJobConstants(object):
+    INPUT_PATTERN = r"^\$\{\{parent\.(inputs|jobs)\.(.*?)\}\}$"
+    OUTPUT_PATTERN = r"^\$\{\{parent\.outputs\.(.*?)\}\}$"
+    LEGACY_INPUT_PATTERN = r"^\$\{\{(inputs|jobs)\.(.*?)\}\}$"
+    LEGACY_OUTPUT_PATTERN = r"^\$\{\{outputs\.(.*?)\}\}$"
+    INPUT_DESTINATION_FORMAT = "jobs.{}.inputs.{}"
+    OUTPUT_DESTINATION_FORMAT = "jobs.{}.outputs.{}"
+
+
+class NodeType(object):
+    COMMAND = "command"
+    SWEEP = "sweep"
+    PARALLEL = "parallel"
+    AUTOML = "automl"
+    PIPELINE = "pipeline"
+    IMPORT = "import"
+    SPARK = "spark"
+    DATA_TRANSFER = "data_transfer"
+    FLOW_PARALLEL = "promptflow_parallel"
+    # Note: container is not a real component type,
+    # only used to mark component from container data.
+    _CONTAINER = "_container"
+
+
+class ControlFlowType(object):
+    DO_WHILE = "do_while"
+    IF_ELSE = "if_else"
+    PARALLEL_FOR = "parallel_for"
+
+
+CONTROL_FLOW_TYPES = [getattr(ControlFlowType, k) for k in dir(ControlFlowType) if k.isupper()]
+
+
+class DataTransferTaskType(object):
+    COPY_DATA = "copy_data"
+    IMPORT_DATA = "import_data"
+    EXPORT_DATA = "export_data"
+
+
+class DataCopyMode(object):
+    MERGE_WITH_OVERWRITE = "merge_with_overwrite"
+    FAIL_IF_CONFLICT = "fail_if_conflict"
+
+
+class ExternalDataType(object):
+    FILE_SYSTEM = "file_system"
+    DATABASE = "database"
+
+
+class DataTransferBuiltinComponentUri(object):
+    IMPORT_DATABASE = "azureml://registries/azureml/components/import_data_database/versions/0.0.1"
+    IMPORT_FILE_SYSTEM = "azureml://registries/azureml/components/import_data_file_system/versions/0.0.1"
+    EXPORT_DATABASE = "azureml://registries/azureml/components/export_data_database/versions/0.0.1"
+
+
+class LLMRAGComponentUri:
+    LLM_RAG_CRACK_AND_CHUNK = "azureml://registries/azureml/components/llm_rag_crack_and_chunk/labels/default"
+    LLM_RAG_GENERATE_EMBEDDINGS = "azureml://registries/azureml/components/llm_rag_generate_embeddings/labels/default"
+    LLM_RAG_CRACK_AND_CHUNK_AND_EMBED = (
+        "azureml://registries/azureml/components/llm_rag_crack_and_chunk_and_embed/labels/default"
+    )
+    LLM_RAG_UPDATE_ACS_INDEX = "azureml://registries/azureml/components/llm_rag_update_acs_index/labels/default"
+    LLM_RAG_UPDATE_PINECONE_INDEX = (
+        "azureml://registries/azureml/components/llm_rag_update_pinecone_index/labels/default"
+    )
+    LLM_RAG_CREATE_FAISS_INDEX = "azureml://registries/azureml/components/llm_rag_create_faiss_index/labels/default"
+    LLM_RAG_REGISTER_MLINDEX_ASSET = (
+        "azureml://registries/azureml/components/llm_rag_register_mlindex_asset/labels/default"
+    )
+    LLM_RAG_VALIDATE_DEPLOYMENTS = "azureml://registries/azureml/components/llm_rag_validate_deployments/labels/default"
+    LLM_RAG_CREATE_PROMPTFLOW = "azureml://registries/azureml/components/llm_rag_create_promptflow/labels/default"
+
+
+class ComponentSource:
+    """Indicate where the component is constructed."""
+
+    BUILDER = "BUILDER"
+    DSL = "DSL"
+    CLASS = "CLASS"
+    REMOTE_WORKSPACE_JOB = "REMOTE.WORKSPACE.JOB"
+    REMOTE_WORKSPACE_COMPONENT = "REMOTE.WORKSPACE.COMPONENT"
+    REMOTE_REGISTRY = "REMOTE.REGISTRY"
+    YAML_JOB = "YAML.JOB"
+    YAML_COMPONENT = "YAML.COMPONENT"
+    BUILTIN = "BUILTIN"
+
+
+class ParallelTaskType:
+    RUN_FUNCTION = "run_function"
+    FUNCTION = "function"
+    MODEL = "model"
+
+
+class ComponentParameterTypes:
+    NUMBER = "number"
+    INTEGER = "integer"
+    BOOLEAN = "boolean"
+    STRING = "string"
+
+
+class IOConstants:
+    PRIMITIVE_STR_2_TYPE = {
+        ComponentParameterTypes.INTEGER: int,
+        ComponentParameterTypes.STRING: str,
+        ComponentParameterTypes.NUMBER: float,
+        ComponentParameterTypes.BOOLEAN: bool,
+    }
+    PRIMITIVE_TYPE_2_STR = {
+        int: ComponentParameterTypes.INTEGER,
+        str: ComponentParameterTypes.STRING,
+        float: ComponentParameterTypes.NUMBER,
+        bool: ComponentParameterTypes.BOOLEAN,
+    }
+    TYPE_MAPPING_YAML_2_REST = {
+        ComponentParameterTypes.STRING: "String",
+        ComponentParameterTypes.INTEGER: "Integer",
+        ComponentParameterTypes.NUMBER: "Number",
+        ComponentParameterTypes.BOOLEAN: "Boolean",
+    }
+    PARAM_PARSERS: Dict = {
+        ComponentParameterTypes.INTEGER: lambda v: int(float(v)),  # parse case like 10.0 -> 10
+        ComponentParameterTypes.BOOLEAN: lambda v: str(v).lower() == "true",
+        ComponentParameterTypes.NUMBER: float,
+    }
+    # For validation, indicates specific parameters combination for each type
+    INPUT_TYPE_COMBINATION = {
+        "uri_folder": ["path", "mode"],
+        "uri_file": ["path", "mode"],
+        "mltable": ["path", "mode"],
+        "mlflow_model": ["path", "mode"],
+        "custom_model": ["path", "mode"],
+        "integer": ["default", "min", "max"],
+        "number": ["default", "min", "max"],
+        "string": ["default"],
+        "boolean": ["default"],
+    }
+    GROUP_ATTR_NAME = "__dsl_group__"
+    GROUP_TYPE_NAME = "group"
+    # Note: ([a-zA-Z_]+[a-zA-Z0-9_]*) is a valid single key,
+    # so a valid pipeline key is: ^{single_key}([.]{single_key})*$
+    VALID_KEY_PATTERN = r"^([a-zA-Z_]+[a-zA-Z0-9_]*)([.]([a-zA-Z_]+[a-zA-Z0-9_]*))*$"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_compute.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_compute.py
new file mode 100644
index 00000000..963e13dd
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_compute.py
@@ -0,0 +1,137 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class ComputeType:
+    """ComputeType is an enum-like class that defines the types of compute that can be used for training.
+
+    ComputeType can be used to specify the compute type for a compute target. It can also be used to
+    specify the compute type for a compute target that is being created.
+
+    Valid values are "managed", "amlcompute", "computeinstance", "virtualmachine", "kubernetes", "DataFactory"
+        , "synapsespark".
+    """
+
+    MANAGED = "managed"
+    """Managed compute is a compute resource that is managed by Azure Machine Learning."""
+    AMLCOMPUTE = "amlcompute"
+    """AmlCompute is a compute resource that is managed by Azure Machine Learning."""
+    COMPUTEINSTANCE = "computeinstance"
+    """Compute Instance is a compute resource that is managed by Azure Machine Learning."""
+    VIRTUALMACHINE = "virtualmachine"
+    """Virtual Machine is a compute resource that is managed by Azure Machine Learning."""
+    KUBERNETES = "kubernetes"
+    """Kubernetes is a compute resource that is managed by Azure Machine Learning."""
+    ADF = "DataFactory"
+    """Data Factory is a compute resource that is managed by Azure Machine Learning."""
+    SYNAPSESPARK = "synapsespark"
+    """Synapse Spark is a compute resource that is managed by Azure Machine Learning."""
+
+
+class ComputeTier:
+    """ComputeTier is an enum-like class that defines the tiers of compute that can be used for training.
+
+    ComputeTier can be used to specify the compute tier for a compute target. It can also be used to specify the compute
+    tier for a compute target that is being created. Valid values are "lowpriority", "dedicated".
+    """
+
+    LOWPRIORITY = "low_priority"
+    """LOWPRIORITY is a compute tier that is used for low priority compute targets."""
+    DEDICATED = "dedicated"
+    """DEDICATED is a compute tier that is used for dedicated compute targets."""
+
+
+class IdentityType:
+    """IdentityType is an enum-like class that defines the types of identity that can be used for compute.
+
+    IdentityType can be used to specify the identity type for a compute target. It can also be used to specify the
+    identity type for a compute target that is being created. Valid values are "system_assigned", "user_assigned",
+    "both".
+    """
+
+    SYSTEM_ASSIGNED = "system_assigned"
+    """SYSTEM_ASSIGNED is a compute identity type that is used for system assigned compute targets."""
+    USER_ASSIGNED = "user_assigned"
+    """USER_ASSIGNED is a compute identity type that is used for user assigned compute targets."""
+    BOTH = "system_assigned,user_assigned"
+    """BOTH is a compute identity type that is used for both system and user assigned compute targets."""
+
+
+class ComputeDefaults:
+    """Class defining Compute Defaults."""
+
+    VMSIZE = "STANDARD_DS3_V2"
+    """ComputeDefaults.VMSIZE: Indicates default VM size. (STANDARD_DS3_V2)
+    """
+    ADMIN_USER = "azureuser"
+    """ComputeDefaults.ADMIN_USER: Indicates default admin user. (azureuser)
+    """
+    MIN_NODES = 0
+    """ComputeDefaults.MIN_NODES: Indicates default minimum number of nodes. (0)
+    """
+    MAX_NODES = 4
+    """ComputeDefaults.MAX_NODES: Indicates default maximum number of nodes. (4)
+    """
+    IDLE_TIME = 1800
+    """ComputeDefaults.IDLE_TIME: Indicates default idle time. (1800)
+    """
+    PRIORITY = "Dedicated"
+    """ComputeDefaults.PRIORITY: Indicates default priority. (Dedicated)
+    """
+
+
+class CustomApplicationDefaults:
+    """Class defining Custom Application Defaults."""
+
+    TARGET_PORT = "target_port"
+    """CustomApplicationDefaults.TARGET_PORT: Indicates target port of the custom application on the Compute
+      Instance. (target_port)
+    """
+
+    PUBLISHED_PORT = "published_port"
+    """CustomApplicationDefaults.PUBLISHED_PORT: Indicates published port of the custom application on the Compute
+      Instance. (published_port)
+    """
+
+    PORT_MIN_VALUE = 1025
+    """CustomApplicationDefaults.PORT_MIN_VALUE: Indicates minimum port value of the custom application on the
+      Compute Instance. (1025)
+    """
+
+    PORT_MAX_VALUE = 65535
+    """CustomApplicationDefaults.PORT_MAX_VALUE: Indicates maximum port value of the custom application on the
+      Compute Instance. (65535)
+    """
+
+    DOCKER = "docker"
+    """CustomApplicationDefaults.DOCKER: Indicates type of a docker custom application on the Compute Instance. (docker)
+    """
+
+    ENDPOINT_NAME = "connect"
+    """CustomApplicationDefaults.ENDPOINT_NAME: Indicates endpoint name of the custom application on the Compute
+     Instance. (connect)
+    """
+
+
+class ComputeSizeTier:
+    """Class defining Compute size tiers."""
+
+    AML_COMPUTE_DEDICATED = "amlComputeDedicatedVMSize"
+    """ComputeSizeTier.AML_COMPUTE_DEDICATED: Indicates Compute Sizes should match Dedicated-tier Virtual Machines.
+    (amlComputeDedicatedVmSize)
+    """
+
+    AML_COMPUTE_LOWPRIORITY = "amlComputeLowPriorityVMSize"
+    """ComputeSizeTier.AML_COMPUTE_LOWPRIORITY: Indicates Compute Sizes should match Low Priority-tier Virtual
+     Machines. (amlcomputeLowPriorityVMSize)
+    """
+
+    COMPUTE_INSTANCE = "computeInstanceVMSize"
+    """ComputeSizeTier.COMPUTE_INSTANCE: Indicates Compute Sizes should match Compute Instance Virtual Machines.
+    (computeInstanceVMSize)
+    """
+
+
+DUPLICATE_APPLICATION_ERROR = "Value of {} must be unique across all custom applications."
+INVALID_VALUE_ERROR = "Value of {} must be between {} and {}."
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_deployment.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_deployment.py
new file mode 100644
index 00000000..c1745e09
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_deployment.py
@@ -0,0 +1,29 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class DeploymentType(object):
+    K8S = "Kubernetes"
+    MANAGED = "Managed"
+
+
+class BatchDeploymentOutputAction:
+    APPEND_ROW = "append_row"
+    SUMMARY_ONLY = "summary_only"
+
+
+class BatchDeploymentType:
+    MODEL = "model"
+    PIPELINE = "pipeline"
+
+
+class EndpointDeploymentLogContainerType(object):
+    STORAGE_INITIALIZER_REST = "StorageInitializer"
+    INFERENCE_SERVER_REST = "InferenceServer"
+    INFERENCE_SERVER = "inference-server"
+    STORAGE_INITIALIZER = "storage-initializer"
+
+
+SmallSKUs = ["standard_ds1_v2", "standard_ds2_v2"]
+DEFAULT_MDC_PATH = "azureml://datastores/workspaceblobstore/paths/modelDataCollector"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py
new file mode 100644
index 00000000..4f9525b8
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py
@@ -0,0 +1,93 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class EndpointKeyType(object):
+    PRIMARY_KEY_TYPE = "primary"
+    SECONDARY_KEY_TYPE = "secondary"
+
+
+class EndpointInvokeFields(object):
+    DEFAULT_HEADER = {"Content-Type": "application/json"}
+    AUTHORIZATION = "Authorization"
+    MODEL_DEPLOYMENT = "azureml-model-deployment"
+    REPEATABILITY_REQUEST_ID = "repeatability_request-id"
+
+
+class EndpointGetLogsFields(object):
+    LINES = 5000
+
+
+class EndpointYamlFields(object):
+    TYPE = "type"
+    TRAFFIC_NAME = "traffic"
+    NAME = "name"
+    SCALE_SETTINGS = "scale_settings"
+    SCALE_TYPE = "scale_type"
+    INSTANCE_COUNT = "instance_count"
+    MINIMUM = "min_instances"
+    MAXIMUM = "max_instances"
+    POLLING_INTERVAL = "polling_interval"
+    TARGET_UTILIZATION_PERCENTAGE = "target_utilization_percentage"
+    SKU_DEFAULT = "Standard_F4s_v2"
+    COMPUTE = "compute"
+    CODE_CONFIGURATION = "code_configuration"
+    CODE = "code"
+    SCORING_SCRIPT = "scoring_script"
+    SCORING_URI = "scoring_uri"
+    OPENAPI_URI = "openapi_uri"
+    PROVISIONING_STATE = "provisioning_state"
+    MINI_BATCH_SIZE = "mini_batch_size"
+    RETRY_SETTINGS = "retry_settings"
+    BATCH_JOB_INPUT_DATA = "input_data"
+    BATCH_JOB_INSTANCE_COUNT = "compute.instance_count"
+    BATCH_JOB_OUTPUT_DATA = "output_data"
+    BATCH_JOB_OUTPUT_PATH = "output_dataset.path"
+    BATCH_JOB_OUTPUT_DATSTORE = "output_dataset.datastore_id"
+    BATCH_JOB_NAME = "job_name"
+    BATCH_JOB_EXPERIMENT_NAME = "experiment_name"
+    BATCH_JOB_PROPERTIES = "properties"
+
+
+class EndpointConfigurations:
+    MIN_NAME_LENGTH = 3
+    MAX_NAME_LENGTH = 32
+    NAME_REGEX_PATTERN = r"^[a-zA-Z]([-a-zA-Z0-9]*[a-zA-Z0-9])?$"
+
+
+class LocalEndpointConstants:
+    CONDA_FILE_NAME = "conda.yml"
+    DOCKER_PORT = "5001"
+    LABEL_KEY_AZUREML_LOCAL_ENDPOINT = "azureml-local-endpoint"
+    LABEL_KEY_ENDPOINT_NAME = "endpoint"
+    LABEL_KEY_DEPLOYMENT_NAME = "deployment"
+    LABEL_KEY_ENDPOINT_JSON = "endpoint-data"
+    LABEL_KEY_DEPLOYMENT_JSON = "deployment-data"
+    LABEL_KEY_AZUREML_PORT = "azureml-port"
+    DEFAULT_STARTUP_WAIT_TIME_SECONDS = 15
+    CONTAINER_EXITED = "exited"
+    ENDPOINT_STATE_FAILED = "Failed"
+    ENDPOINT_STATE_SUCCEEDED = "Succeeded"
+    ENDPOINT_STATE_LOCATION = "local"
+    AZUREML_APP_PATH = "/var/azureml-app/"
+    ENVVAR_KEY_AZUREML_ENTRY_SCRIPT = "AZUREML_ENTRY_SCRIPT"
+    ENVVAR_KEY_AZUREML_MODEL_DIR = "AZUREML_MODEL_DIR"
+    ENVVAR_KEY_AML_APP_ROOT = "AML_APP_ROOT"
+    ENVVAR_KEY_AZUREML_INFERENCE_PYTHON_PATH = "AZUREML_INFERENCE_PYTHON_PATH"
+    CONDA_ENV_NAME = "inf-conda-env"
+    CONDA_ENV_BIN_PATH = "/opt/miniconda/envs/inf-conda-env/bin"
+    CONDA_ENV_PYTHON_PATH = "/opt/miniconda/envs/inf-conda-env/bin/python"
+
+
+class BatchEndpointInvoke:
+    INPUTS = "inputs"
+    OUTPUTS = "outputs"
+    ENDPOINT = "endpoint"
+    DEPLOYMENT = "deployment"
+    TYPE = "type"
+    MODE = "mode"
+    PATH = "path"
+    DEFAULT = "default"
+    MIN = "min"
+    MAX = "max"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_finetuning.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_finetuning.py
new file mode 100644
index 00000000..2aecab91
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_finetuning.py
@@ -0,0 +1,17 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class FineTuningTaskType:
+    CHAT_COMPLETION = "ChatCompletion"
+    TEXT_COMPLETION = "TextCompletion"
+    TEXT_CLASSIFICATION = "TextClassification"
+    QUESTION_ANSWERING = "QuestionAnswering"
+    TEXT_SUMMARIZATION = "TextSummarization"
+    TOKEN_CLASSIFICATION = "TokenClassification"
+    TEXT_TRANSLATION = "TextTranslation"
+    IMAGE_CLASSIFICATION = "ImageClassification"
+    IMAGE_INSTANCE_SEGMENTATION = "ImageInstanceSegmentation"
+    IMAGE_OBJECT_DETECTION = "ImageObjectDetection"
+    VIDEO_MULTI_OBJECT_TRACKING = "VideoMultiObjectTracking"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/__init__.py
new file mode 100644
index 00000000..0d89198a
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/__init__.py
@@ -0,0 +1,38 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
+
+from .automl import (
+    AutoMLConstants,
+    AutoMLTransformerParameterKeys,
+    ImageClassificationModelNames,
+    ImageInstanceSegmentationModelNames,
+    ImageObjectDetectionModelNames,
+    NlpLearningRateScheduler,
+    NlpModels,
+    TabularTrainingMode,
+)
+from .distillation import DataGenerationTaskType, DataGenerationType
+from .job import DistributionType, ImportSourceType, JobType
+from .pipeline import PipelineConstants
+from .sweep import SearchSpace
+
+__all__ = [
+    "AutoMLConstants",
+    "AutoMLTransformerParameterKeys",
+    "DataGenerationTaskType",
+    "DataGenerationType",
+    "DistributionType",
+    "ImageClassificationModelNames",
+    "ImageObjectDetectionModelNames",
+    "ImageInstanceSegmentationModelNames",
+    "JobType",
+    "ImportSourceType",
+    "PipelineConstants",
+    "SearchSpace",
+    "NlpModels",
+    "NlpLearningRateScheduler",
+    "TabularTrainingMode",
+]
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/automl.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/automl.py
new file mode 100644
index 00000000..41af0781
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/automl.py
@@ -0,0 +1,116 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from enum import Enum
+
+# pylint: disable=unused-import
+from azure.ai.ml._restclient.v2023_04_01_preview.models import NlpLearningRateScheduler, TrainingMode
+from azure.ai.ml._utils._experimental import experimental
+
+
+class AutoMLConstants:
+    # The following are fields found in the yaml for AutoML Job
+    GENERAL_YAML = "general"
+    DATA_YAML = "data"
+    FEATURIZATION_YAML = "featurization"
+    LIMITS_YAML = "limits"
+    SWEEP_YAML = "sweep"
+    FORECASTING_YAML = "forecasting"
+    TRAINING_YAML = "training"
+    MAX_TRIALS_YAML = "max_trials"
+    VALIDATION_DATASET_SIZE_YAML = "validation_dataset_size"
+    TRAINING_DATA_SETTINGS_YAML = "training"
+    TEST_DATA_SETTINGS_YAML = "test"
+    VALIDATION_DATA_SETTINGS_YAML = "validation"
+    COUNTRY_OR_REGION_YAML = "country_or_region_for_holidays"
+    TASK_TYPE_YAML = "task"
+    TIMEOUT_YAML = "timeout_minutes"
+    TRIAL_TIMEOUT_YAML = "trial_timeout_minutes"
+    BLOCKED_ALGORITHMS_YAML = "blocked_training_algorithms"
+    ALLOWED_ALGORITHMS_YAML = "allowed_training_algorithms"
+    ENSEMBLE_MODEL_DOWNLOAD_TIMEOUT_YAML = "ensemble_model_download_timeout_minutes"
+    TERMINATION_POLICY_TYPE_YAML = "type"
+
+    # TASK TYPES
+    CLASSIFICATION_YAML = "classification"
+    REGRESSION_YAML = "regression"
+    FORECASTING_YAML = "forecasting"
+
+    # The following are general purpose AutoML fields
+    TARGET_LAGS = "target_lags"
+    AUTO = "auto"
+    OFF = "off"
+    CUSTOM = "custom"
+    TIME_SERIES_ID_COLUMN_NAMES = "time_series_id_column_names"
+    TRANSFORMER_PARAMS = "transformer_params"
+    MODE = "mode"
+
+
+class AutoMLTransformerParameterKeys(Enum):
+    IMPUTER = "Imputer"
+    TF_IDF = "TfIdf"
+    HASH_ONE_HOT_ENCODER = "HashOneHotEncoder"
+
+
+class ImageClassificationModelNames(Enum):
+    """Model names that are supported for Image Classification tasks."""
+
+    MOBILENETV2 = "mobilenetv2"
+    RESNET18 = "resnet18"
+    RESNET34 = "resnet34"
+    RESNET50 = "resnet50"
+    RESNET101 = "resnet101"
+    RESNET152 = "resnet152"
+    RESNEST50 = "resnest50"
+    RESNEST101 = "resnest101"
+    SERESNEXT = "seresnext"
+    VITS16R224 = "vits16r224"
+    VITB16R224 = "vitb16r224"
+    VITL16R224 = "vitl16r224"
+
+
+class ImageObjectDetectionModelNames(Enum):
+    """Model names that are supported for Image Object Detection tasks."""
+
+    YOLOV5 = "yolov5"
+    FASTERRCNN_RESNET18_FPN = "fasterrcnn_resnet18_fpn"
+    FASTERRCNN_RESNET34_FPN = "fasterrcnn_resnet34_fpn"
+    FASTERRCNN_RESNET50_FPN = "fasterrcnn_resnet50_fpn"
+    FASTERRCNN_RESNET101_FPN = "fasterrcnn_resnet101_fpn"
+    FASTERRCNN_RESNET152_FPN = "fasterrcnn_resnet152_fpn"
+    RETINANET_RESNET50_FPN = "retinanet_resnet50_fpn"
+
+
+class ImageInstanceSegmentationModelNames(Enum):
+    """Model names that are supported for Image Instance Segmentation tasks."""
+
+    MASKRCNN_RESNET18_FPN = "maskrcnn_resnet18_fpn"
+    MASKRCNN_RESNET34_FPN = "maskrcnn_resnet34_fpn"
+    MASKRCNN_RESNET50_FPN = "maskrcnn_resnet50_fpn"
+    MASKRCNN_RESNET101_FPN = "maskrcnn_resnet101_fpn"
+    MASKRCNN_RESNET152_FPN = "maskrcnn_resnet152_fpn"
+
+
+class NlpModels(Enum):
+    """Model names that are supported for NLP (Natural Language Processing) tasks."""
+
+    BERT_BASE_CASED = "bert-base-cased"
+    BERT_BASE_UNCASED = "bert-base-uncased"
+    BERT_BASE_MULTILINGUAL_CASED = "bert-base-multilingual-cased"
+    BERT_BASE_GERMAN_CASED = "bert-base-german-cased"
+    BERT_LARGE_CASED = "bert-large-cased"
+    BERT_LARGE_UNCASED = "bert-large-uncased"
+    DISTILBERT_BASE_CASED = "distilbert-base-cased"
+    DISTILBERT_BASE_UNCASED = "distilbert-base-uncased"
+    ROBERTA_BASE = "roberta-base"
+    ROBERTA_LARGE = "roberta-large"
+    DISTILROBERTA_BASE = "distilroberta-base"
+    XLM_ROBERTA_BASE = "xlm-roberta-base"
+    XLM_ROBERTA_LARGE = "xlm-roberta-large"
+    XLNET_BASE_CASED = "xlnet-base-cased"
+    XLNET_LARGE_CASED = "xlnet-large-cased"
+
+
+TrainingMode.__doc__ = "Mode to enable/disable distributed training."
+TabularTrainingMode = experimental(TrainingMode)
+TabularTrainingMode.__name__ = "TabularTrainingMode"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/distillation.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/distillation.py
new file mode 100644
index 00000000..4a6cf981
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/distillation.py
@@ -0,0 +1,16 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class DataGenerationTaskType:
+    NLI = "NLI"
+    NLU_QA = "NLU_QA"
+    CONVERSATION = "CONVERSATION"
+    MATH = "MATH"
+    SUMMARIZATION = "SUMMARIZATION"
+
+
+class DataGenerationType:
+    LABEL_GENERATION = "label_generation"
+    DATA_GENERATION = "data_generation"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/finetuning.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/finetuning.py
new file mode 100644
index 00000000..8d763b63
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/finetuning.py
@@ -0,0 +1,26 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class FineTuningConstants:
+    AzureOpenAI = "azure-openai"
+    Custom = "custom"
+
+    TaskType = "task"
+    ModelProvider = "model_provider"
+    HyperParameters = "hyperparameters"
+
+
+class FineTuningTaskTypes:
+    CHAT_COMPLETION = "ChatCompletion"
+    TEXT_COMPLETION = "TextCompletion"
+    TEXT_CLASSIFICATION = "TextClassification"
+    QUESTION_ANSWERING = "QuestionAnswering"
+    TEXT_SUMMARIZATION = "TextSummarization"
+    TOKEN_CLASSIFICATION = "TokenClassification"
+    TEXT_TRANSLATION = "TextTranslation"
+    IMAGE_CLASSIFICATION = "ImageClassification"
+    IMAGE_INSTANCE_SEGMENTATION = "ImageInstanceSegmentation"
+    IMAGE_OBJECT_DETECTION = "ImageObjectDetection"
+    VIDEO_MULTI_OBJECT_TRACKING = "VideoMultiObjectTracking"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/job.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/job.py
new file mode 100644
index 00000000..4037dbb3
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/job.py
@@ -0,0 +1,165 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class DistributionType:
+    MPI = "mpi"
+    TENSORFLOW = "tensorflow"
+    PYTORCH = "pytorch"
+    RAY = "ray"
+
+
+class JobType(object):
+    COMMAND = "command"
+    SWEEP = "sweep"
+    PIPELINE = "pipeline"
+    AUTOML = "automl"
+    COMPONENT = "component"
+    BASE = "base"
+    PARALLEL = "parallel"
+    IMPORT = "import"
+    SPARK = "spark"
+    DATA_TRANSFER = "data_transfer"
+    FINE_TUNING = "finetuning"
+    DISTILLATION = "distillation"
+
+
+class JobLimitsType(object):
+    SWEEP = "Sweep"
+
+
+class JobLogPattern:
+    COMMAND_JOB_LOG_PATTERN = "azureml-logs/[\\d]{2}.+\\.txt"
+    PIPELINE_JOB_LOG_PATTERN = "logs/azureml/executionlogs\\.txt"
+    SWEEP_JOB_LOG_PATTERN = "azureml-logs/hyperdrive\\.txt"
+    COMMON_RUNTIME_STREAM_LOG_PATTERN = "user_logs/std_log[\\D]*[0]*(?:_ps)?\\.txt"
+    COMMON_RUNTIME_ALL_USER_LOG_PATTERN = "user_logs/std_log.*\\.txt"
+
+
+class JobServices:
+    STUDIO = "Studio"
+
+
+class ImportSourceType:
+    AZURESQLDB = "azuresqldb"
+    AZURESYNAPSEANALYTICS = "azuresynapseanalytics"
+    SNOWFLAKE = "snowflake"
+    S3 = "s3"
+
+
+class JobComputePropertyFields(object):
+    # Legacy name
+    AISUPERCOMPUTER = "AISuperComputer"
+    SINGULARITY = "Singularity"
+    ITP = "itp"
+    TARGET_SELECTOR = "target_selector"
+
+
+class SparkConfKey:
+    DRIVER_CORES = "driver_cores"
+    DRIVER_MEMORY = "driver_memory"
+    EXECUTOR_CORES = "executor_cores"
+    EXECUTOR_MEMORY = "executor_memory"
+    EXECUTOR_INSTANCES = "executor_instances"
+    DYNAMIC_ALLOCATION_MIN_EXECUTORS = "dynamic_allocation_min_executors"
+    DYNAMIC_ALLOCATION_MAX_EXECUTORS = "dynamic_allocation_max_executors"
+    DYNAMIC_ALLOCATION_ENABLED = "dynamic_allocation_enabled"
+
+
+class RestSparkConfKey:
+    DRIVER_CORES = "spark.driver.cores"
+    DRIVER_MEMORY = "spark.driver.memory"
+    EXECUTOR_CORES = "spark.executor.cores"
+    EXECUTOR_MEMORY = "spark.executor.memory"
+    EXECUTOR_INSTANCES = "spark.executor.instances"
+    DYNAMIC_ALLOCATION_MIN_EXECUTORS = "spark.dynamicAllocation.minExecutors"
+    DYNAMIC_ALLOCATION_MAX_EXECUTORS = "spark.dynamicAllocation.maxExecutors"
+    DYNAMIC_ALLOCATION_ENABLED = "spark.dynamicAllocation.enabled"
+
+
+class JobServiceTypeNames:
+    class EntityNames:
+        CUSTOM = "custom"
+        TRACKING = "Tracking"
+        STUDIO = "Studio"
+        JUPYTER_LAB = "jupyter_lab"
+        SSH = "ssh"
+        TENSOR_BOARD = "tensor_board"
+        VS_CODE = "vs_code"
+        RAY_DASHBOARD = "RayDashboard"
+
+    class RestNames:
+        CUSTOM = "Custom"
+        TRACKING = "Tracking"
+        STUDIO = "Studio"
+        JUPYTER_LAB = "JupyterLab"
+        SSH = "SSH"
+        TENSOR_BOARD = "TensorBoard"
+        VS_CODE = "VSCode"
+        RAY_DASHBOARD = "RayDashboard"
+
+    ENTITY_TO_REST = {
+        EntityNames.CUSTOM: RestNames.CUSTOM,
+        EntityNames.TRACKING: RestNames.TRACKING,
+        EntityNames.STUDIO: RestNames.STUDIO,
+        EntityNames.JUPYTER_LAB: RestNames.JUPYTER_LAB,
+        EntityNames.SSH: RestNames.SSH,
+        EntityNames.TENSOR_BOARD: RestNames.TENSOR_BOARD,
+        EntityNames.VS_CODE: RestNames.VS_CODE,
+        EntityNames.RAY_DASHBOARD: RestNames.RAY_DASHBOARD,
+    }
+
+    REST_TO_ENTITY = {v: k for k, v in ENTITY_TO_REST.items()}
+
+    NAMES_ALLOWED_FOR_PUBLIC = [EntityNames.JUPYTER_LAB, EntityNames.SSH, EntityNames.TENSOR_BOARD, EntityNames.VS_CODE]
+
+
+class JobTierNames:
+    class EntityNames:
+        Spot = "spot"
+        Basic = "basic"
+        Standard = "standard"
+        Premium = "premium"
+        Null = "null"
+
+    class RestNames:
+        Null = "Null"
+        Spot = "Spot"
+        Basic = "Basic"
+        Standard = "Standard"
+        Premium = "Premium"
+
+    ENTITY_TO_REST = {
+        EntityNames.Null: RestNames.Null,
+        EntityNames.Spot: RestNames.Spot,
+        EntityNames.Basic: RestNames.Basic,
+        EntityNames.Standard: RestNames.Standard,
+        EntityNames.Premium: RestNames.Premium,
+    }
+
+    REST_TO_ENTITY = {v: k for k, v in ENTITY_TO_REST.items()}
+
+    ALLOWED_NAMES = [EntityNames.Spot, EntityNames.Basic, EntityNames.Standard, EntityNames.Premium, EntityNames.Null]
+
+
+class JobPriorityValues:
+    class EntityValues:
+        LOW = "low"
+        MEDIUM = "medium"
+        HIGH = "high"
+
+    class RestValues:
+        LOW = 1
+        MEDIUM = 2
+        HIGH = 3
+
+    ENTITY_TO_REST = {
+        EntityValues.LOW: RestValues.LOW,
+        EntityValues.MEDIUM: RestValues.MEDIUM,
+        EntityValues.HIGH: RestValues.HIGH,
+    }
+
+    REST_TO_ENTITY = {v: k for k, v in ENTITY_TO_REST.items()}
+
+    ALLOWED_VALUES = [EntityValues.LOW, EntityValues.MEDIUM, EntityValues.HIGH]
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/pipeline.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/pipeline.py
new file mode 100644
index 00000000..4b66d401
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/pipeline.py
@@ -0,0 +1,64 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class PipelineConstants:
+    DEFAULT_DATASTORE_SDK = "default_datastore_name"
+    DEFAULT_DATASTORE_REST = "defaultDatastoreName"
+    DEFAULT_DATASTORE = "default_datastore"
+    DEFAULT_COMPUTE = "default_compute"
+    CONTINUE_ON_STEP_FAILURE = "continue_on_step_failure"
+    CONTINUE_RUN_ON_FAILED_OPTIONAL_INPUT = "continue_run_on_failed_optional_input"
+    DATASTORE_REST = "Datastore"
+    ENVIRONMENT = "environment"
+    CODE = "code"
+    REUSED_FLAG_FIELD = "azureml.isreused"
+    REUSED_FLAG_TRUE = "true"
+    REUSED_JOB_ID = "azureml.reusedrunid"
+    PIPELINE_JOB_TYPE = "azureml.pipelinejob"
+
+
+class ValidationErrorCode:
+    PARAMETER_TYPE_UNKNOWN = "ParameterTypeUnknown"
+
+
+# Methods in Python dictionary, when used as IO name, will actually get function rather than IO object,
+# resulting in validation error.
+# So print warning message on this and suggest user to access with syntax "d[key]" instead of "d.key".
+# Reference: builtins.py::dict
+COMPONENT_IO_KEYWORDS = {
+    "clear",
+    "copy",
+    "fromkeys",
+    "get",
+    "items",
+    "keys",
+    "pop",
+    "popitem",
+    "setdefault",
+    "update",
+    "values",
+    "__class_getitem__",
+    "__contains__",
+    "__delitem__",
+    "__eq__",
+    "__getattribute__",
+    "__getitem__",
+    "__ge__",
+    "__init__",
+    "__ior__",
+    "__iter__",
+    "__len__",
+    "__le__",
+    "__lt__",
+    "__new__",
+    "__ne__",
+    "__or__",
+    "__repr__",
+    "__reversed__",
+    "__ror__",
+    "__setitem__",
+    "__sizeof__",
+    "__hash__",
+}
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/sweep.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/sweep.py
new file mode 100644
index 00000000..4dbbe80c
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_job/sweep.py
@@ -0,0 +1,22 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class SearchSpace:
+    # Hyperparameter search constants
+    CHOICE = "choice"
+    UNIFORM = "uniform"
+    LOGUNIFORM = "loguniform"
+    QUNIFORM = "quniform"
+    QLOGUNIFORM = "qloguniform"
+    NORMAL = "normal"
+    LOGNORMAL = "lognormal"
+    QNORMAL = "qnormal"
+    QLOGNORMAL = "qlognormal"
+    RANDINT = "randint"
+
+    UNIFORM_LOGUNIFORM = [UNIFORM, LOGUNIFORM]
+    QUNIFORM_QLOGUNIFORM = [QUNIFORM, QLOGUNIFORM]
+    NORMAL_LOGNORMAL = [NORMAL, LOGNORMAL]
+    QNORMAL_QLOGNORMAL = [QNORMAL, QLOGNORMAL]
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_monitoring.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_monitoring.py
new file mode 100644
index 00000000..224102ca
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_monitoring.py
@@ -0,0 +1,123 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from enum import Enum
+
+from azure.core import CaseInsensitiveEnumMeta
+
+from azure.ai.ml._utils._experimental import experimental
+
+
+ALL_FEATURES = "all_features"
+
+
+AZMONITORING = "azmonitoring"
+
+DEPLOYMENT_MODEL_INPUTS_NAME_KEY = "data_collector.collections.model_inputs.data.name"
+DEPLOYMENT_MODEL_INPUTS_VERSION_KEY = "data_collector.collections.model_inputs.data.version"
+DEPLOYMENT_MODEL_OUTPUTS_NAME_KEY = "data_collector.collections.model_outputs.data.name"
+DEPLOYMENT_MODEL_OUTPUTS_VERSION_KEY = "data_collector.collections.model_outputs.data.version"
+DEPLOYMENT_MODEL_INPUTS_COLLECTION_KEY = "data_collector.collections.model_inputs.enabled"
+DEPLOYMENT_MODEL_OUTPUTS_COLLECTION_KEY = "data_collector.collections.model_outputs.enabled"
+
+
+SPARK_INSTANCE_TYPE_KEY = "compute.spark.resources.instance_type"
+SPARK_RUNTIME_VERSION = "compute.spark.resources.runtime_version"
+
+COMPUTE_AML_TYPE = "AmlToken"
+COMPUTE_MANAGED_IDENTITY_TYPE = "ManagedIdentity"
+
+DEFAULT_DATA_DRIFT_SIGNAL_NAME = "data-drift-signal"
+DEFAULT_PREDICTION_DRIFT_SIGNAL_NAME = "prediction-drift-signal"
+DEFAULT_DATA_QUALITY_SIGNAL_NAME = "data-quality-signal"
+DEFAULT_TOKEN_USAGE_SIGNAL_NAME = "token-usage-signal"
+
+
+@experimental
+class MonitorSignalType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    DATA_DRIFT = "data_drift"
+    DATA_QUALITY = "data_quality"
+    PREDICTION_DRIFT = "prediction_drift"
+    MODEL_PERFORMANCE = "model_performance"
+    FEATURE_ATTRIBUTION_DRIFT = "feature_attribution_drift"
+    CUSTOM = "custom"
+    GENERATION_SAFETY_QUALITY = "generation_safety_quality"
+    GENERATION_TOKEN_STATISTICS = "generation_token_statistics"
+
+
+@experimental
+class MonitorMetricName(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    JENSEN_SHANNON_DISTANCE = "jensen_shannon_distance"
+    NORMALIZED_WASSERSTEIN_DISTANCE = "normalized_wasserstein_distance"
+    POPULATION_STABILITY_INDEX = "population_stability_index"
+    TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST = "two_sample_kolmogorov_smirnov_test"
+    PEARSONS_CHI_SQUARED_TEST = "pearsons_chi_squared_test"
+    NULL_VALUE_RATE = "null_value_rate"
+    DATA_TYPE_ERROR_RATE = "data_type_error_rate"
+    OUT_OF_BOUND_RATE = "out_of_bounds_rate"
+    NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN = "normalized_discounted_cumulative_gain"
+    ACCURACY = "accuracy"
+    PRECISION = "precision"
+    RECALL = "recall"
+    F1_SCORE = "f1_score"
+    MAE = "MAE"
+    MSE = "MSE"
+    RMSE = "RMSE"
+
+
+@experimental
+class MonitorModelType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    CLASSIFICATION = "classification"
+    REGRESSION = "regression"
+
+
+@experimental
+class MonitorFeatureType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    NUMERICAL = "numerical"
+    CATEGORICAL = "categorical"
+    NOT_APPLICABLE = "not_applicable"
+    ALL_FEATURE_TYPES = "all_feature_types"
+
+
+@experimental
+class MonitorDatasetContext(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    MODEL_INPUTS = "model_inputs"
+    MODEL_OUTPUTS = "model_outputs"
+    TRAINING = "training"
+    TEST = "test"
+    VALIDATION = "validation"
+    GROUND_TRUTH_DATA = "ground_truth"
+
+
+class MonitorTargetTasks(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    CLASSIFICATION = "Classification"
+    REGRESSION = "Regression"
+    QUESTION_ANSWERING = "QuestionAnswering"
+
+
+class MonitorInputDataType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    #: An input data with a fixed window size.
+    STATIC = "Static"
+    #: An input data which trailing relatively to the monitor's current run.
+    TRAILING = "Trailing"
+    #: An input data with tabular format which doesn't require preprocessing.
+    FIXED = "Fixed"
+
+
+class FADColumnNames(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    PREDICTION = "prediction"
+    PREDICTION_PROBABILITY = "prediction_probability"
+    CORRELATION_ID = "correlation_id"
+
+
+class MonitorFeatureDataType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    NUMERICAL = "numerical"
+    CATEGORICAL = "categorical"
+
+
+class NumericalMetricThresholds(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    JENSEN_SHANNON_DISTANCE = "jensen_shannon_distance"
+    NORMALIZED_WASSERSTEIN_DISTANCE = "normalized_wasserstein_distance"
+    POPULATION_STABILITY_INDEX = "population_stability_index"
+    TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST = "two_sample_kolmogorov_smirnov_test"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_registry.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_registry.py
new file mode 100644
index 00000000..23cffeb1
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_registry.py
@@ -0,0 +1,40 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import re
+from enum import Enum
+
+from azure.core import CaseInsensitiveEnumMeta
+
+
+class StorageAccountType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Storage account types."""
+
+    STANDARD_LRS = "Standard_LRS".lower()
+    STANDARD_GRS = "Standard_GRS".lower()
+    STANDARD_RAGRS = "Standard_RAGRS".lower()
+    STANDARD_ZRS = "Standard_ZRS".lower()
+    STANDARD_GZRS = "Standard_GZRS".lower()
+    STANDARD_RAGZRS = "Standard_RAGZRS".lower()
+    PREMIUM_LRS = "Premium_LRS".lower()
+    PREMIUM_ZRS = "Premium_ZRS".lower()
+
+
+# When will other values be allowed?
+class AcrAccountSku(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Azure Container Registry SKUs."""
+
+    PREMIUM = "Premium".lower()
+
+
+# based on /subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/
+# # ...providers/Microsoft.Storage/storageAccounts/{StorageAccountName}
+STORAGE_ACCOUNT_FORMAT = re.compile(
+    ("/subscriptions/(.*)/resourceGroups/(.*)/providers/Microsoft.Storage/storageAccounts/(.*)")
+)
+# based on /subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/
+# # ...providers/Microsoft.ContainerRegistry/registries/{AcrName}\
+ACR_ACCOUNT_FORMAT = re.compile(
+    ("/subscriptions/(.*)/resourceGroups/(.*)/providers/Microsoft.ContainerRegistry/registries/(.*)")
+)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_workspace.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_workspace.py
new file mode 100644
index 00000000..359e211d
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_workspace.py
@@ -0,0 +1,56 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from enum import Enum
+
+from azure.ai.ml._utils._experimental import experimental
+from azure.core import CaseInsensitiveEnumMeta
+
+
+class ManagedServiceIdentityType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed)."""
+
+    NONE = "None"
+    SYSTEM_ASSIGNED = "SystemAssigned"
+    USER_ASSIGNED = "UserAssigned"
+    SYSTEM_ASSIGNED_USER_ASSIGNED = "SystemAssigned,UserAssigned"
+
+
+class IsolationMode:
+    """IsolationMode for the workspace managed network."""
+
+    DISABLED = "Disabled"
+    ALLOW_INTERNET_OUTBOUND = "AllowInternetOutbound"
+    ALLOW_ONLY_APPROVED_OUTBOUND = "AllowOnlyApprovedOutbound"
+
+
+@experimental
+class FirewallSku:
+    """Firewall Sku for FQDN rules in AllowOnlyApprovedOutbound."""
+
+    STANDARD = "Standard"
+    BASIC = "Basic"
+
+
+class OutboundRuleCategory:
+    """Category for a managed network outbound rule."""
+
+    REQUIRED = "Required"
+    RECOMMENDED = "Recommended"
+    USER_DEFINED = "UserDefined"
+    DEPENDENCY = "Dependency"
+
+
+class OutboundRuleType:
+    """Type of managed network outbound rule."""
+
+    FQDN = "FQDN"
+    PRIVATE_ENDPOINT = "PrivateEndpoint"
+    SERVICE_TAG = "ServiceTag"
+
+
+@experimental
+class CapabilityHostKind(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Capabilityhost kind."""
+
+    AGENTS = "Agents"