create_partner_app ¶

def create_partner_app(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    name: Optional["capo_sagemaker.types.partner_app_name.PartnerAppName"] = None,
    type: Optional["capo_sagemaker.types.partner_app_type.PartnerAppType"] = None,
    execution_role_arn: Optional["capo_sagemaker.types.role_arn.RoleArn"] = None,
    kms_key_id: Optional["capo_sagemaker.types.kms_key_id.KmsKeyId"] = None,
    maintenance_config: Optional[
        "capo_sagemaker.types.partner_app_maintenance_config.PartnerAppMaintenanceConfig"
    ] = None,
    tier: Optional[
        "capo_sagemaker.types.non_empty_string64.NonEmptyString64"
    ] = None,
    application_config: Optional[
        "capo_sagemaker.types.partner_app_config.PartnerAppConfig"
    ] = None,
    idc_config: Optional[
        "capo_sagemaker.types.idc_config_input.IdcConfigInput"
    ] = None,
    auth_type: Optional[
        "capo_sagemaker.types.partner_app_auth_type.PartnerAppAuthType"
    ] = None,
    enable_iam_session_based_identity: Optional[
        "capo_sagemaker.types.boolean.Boolean"
    ] = None,
    enable_auto_minor_version_upgrade: Optional[
        "capo_sagemaker.types.boolean.Boolean"
    ] = None,
    client_token: Optional["capo_sagemaker.types.client_token.ClientToken"] = None,
    tags: Optional["capo_sagemaker.types.tag_list.TagList"] = None,
) -> "capo_sagemaker.types.create_partner_app_response.CreatePartnerAppResponse":
    """<p>Creates an Amazon SageMaker Partner AI App.</p>

    Args:
        name: <p>The name to give the SageMaker Partner AI App.</p>
        type: <p>The type of SageMaker Partner AI App to create. Must be one of the following: <code>lakera-guard</code>, <code>comet</code>, <code>deepchecks-llm-evaluation</code>, or <code>fiddler</code>.</p>
        execution_role_arn: <p>The ARN of the IAM role that the partner application uses.</p>
        kms_key_id: <p>SageMaker Partner AI Apps uses Amazon Web Services KMS to encrypt data at rest using an Amazon Web Services managed key by default. For more control, specify a customer managed key.</p>
        maintenance_config: <p>Maintenance configuration settings for the SageMaker Partner AI App.</p>
        tier: <p>Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.</p>
        application_config: <p>Configuration settings for the SageMaker Partner AI App.</p>
        idc_config: <p>Specifies the Amazon Web Services IAM Identity Center configuration for the SageMaker Partner AI App. Specify this parameter when <code>AuthType</code> is <code>IDC</code>. Apps that use <code>IAM</code> authorization don't use this parameter.</p>
        auth_type: <p>The authorization type that users use to access the SageMaker Partner AI App. Valid values:</p> <ul> <li> <p> <code>IAM</code>: Users access the SageMaker Partner AI App with their Amazon Web Services IAM identity.</p> </li> <li> <p> <code>IDC</code>: Users access the SageMaker Partner AI App with their Amazon Web Services IAM Identity Center identity. Specify the Identity Center instance to use in <code>IdcConfig</code>.</p> </li> </ul>
        enable_iam_session_based_identity: <p>When set to <code>TRUE</code>, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.</p>
        enable_auto_minor_version_upgrade: <p>When set to <code>TRUE</code>, the SageMaker Partner AI App is automatically upgraded to the latest minor version during the next scheduled maintenance window, if one is available. Default is <code>FALSE</code>.</p>
        client_token: <p>A unique token that guarantees that the call to this API is idempotent.</p>
        tags: <p>Each tag consists of a key and an optional value. Tag keys must be unique per resource.</p>

    Raises:
        capo_sagemaker.errors.conflict_exception.ConflictException: <p>There was a conflict when you attempted to modify a SageMaker entity such as an <code>Experiment</code> or <code>Artifact</code>.</p>
        capo_sagemaker.errors.resource_limit_exceeded.ResourceLimitExceeded: <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.create_partner_app_request.CreatePartnerAppRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.create_partner_app_response.CreatePartnerAppResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.create_partner_app

        output, http_response = (
            capo_sagemaker._operations.sage_maker.create_partner_app.create_partner_app(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreatePartnerApp")
    )
    input_: capo_sagemaker.types.create_partner_app_request.CreatePartnerAppRequest = {}
    if name is not None:
        input_["name"] = name
    if type is not None:
        input_["type"] = type
    if execution_role_arn is not None:
        input_["execution_role_arn"] = execution_role_arn
    if kms_key_id is not None:
        input_["kms_key_id"] = kms_key_id
    if maintenance_config is not None:
        input_["maintenance_config"] = maintenance_config
    if tier is not None:
        input_["tier"] = tier
    if application_config is not None:
        input_["application_config"] = application_config
    if idc_config is not None:
        input_["idc_config"] = idc_config
    if auth_type is not None:
        input_["auth_type"] = auth_type
    if enable_iam_session_based_identity is not None:
        input_["enable_iam_session_based_identity"] = (
            enable_iam_session_based_identity
        )
    if enable_auto_minor_version_upgrade is not None:
        input_["enable_auto_minor_version_upgrade"] = (
            enable_auto_minor_version_upgrade
        )
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if tags is not None:
        input_["tags"] = tags

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output