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CreateStudioLifecycleConfigRequest

Source code in docs_src/capo_sagemaker/types/create_studio_lifecycle_config_request.py
class CreateStudioLifecycleConfigRequest(TypedDict, closed=True):
    studio_lifecycle_config_name: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_name.StudioLifecycleConfigName"
    ]
    """<p>The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.</p>"""
    studio_lifecycle_config_content: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_content.StudioLifecycleConfigContent"
    ]
    """<p>The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.</p>"""
    studio_lifecycle_config_app_type: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_app_type.StudioLifecycleConfigAppType"
    ]
    """<p>The App type that the Lifecycle Configuration is attached to.</p>"""
    tags: NotRequired["capo_sagemaker.types.tag_list.TagList"]
    """<p>Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API. </p>"""

studio_lifecycle_config_app_type instance-attribute

studio_lifecycle_config_app_type: NotRequired[StudioLifecycleConfigAppType]

The App type that the Lifecycle Configuration is attached to.

studio_lifecycle_config_content instance-attribute

studio_lifecycle_config_content: NotRequired[StudioLifecycleConfigContent]

The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.

studio_lifecycle_config_name instance-attribute

studio_lifecycle_config_name: NotRequired[StudioLifecycleConfigName]

The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.

tags instance-attribute

tags: NotRequired[TagList]

Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.