Create Partner App

sagemaker_create_partner_app

R Documentation

Creates an Amazon SageMaker Partner AI App¶

Description¶

Creates an Amazon SageMaker Partner AI App.

Usage¶

sagemaker_create_partner_app(Name, Type, ExecutionRoleArn,
  MaintenanceConfig, Tier, ApplicationConfig, AuthType,
  EnableIamSessionBasedIdentity, ClientToken, Tags)

Arguments¶

Name: [required] The name to give the SageMaker Partner AI App.
Type: [required] The type of SageMaker Partner AI App to create. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
ExecutionRoleArn: [required] The ARN of the IAM role that the partner application uses.
MaintenanceConfig: Maintenance configuration settings for the SageMaker Partner AI App.
Tier: [required] Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
ApplicationConfig: Configuration settings for the SageMaker Partner AI App.
AuthType: [required] The authorization type that users use to access the SageMaker Partner AI App.
EnableIamSessionBasedIdentity: When set to TRUE, 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.
ClientToken: A unique token that guarantees that the call to this API is idempotent.
Tags: Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Value¶

A list with the following syntax:

list(
  Arn = "string"
)

Request syntax¶

svc$create_partner_app(
  Name = "string",
  Type = "lakera-guard"|"comet"|"deepchecks-llm-evaluation"|"fiddler",
  ExecutionRoleArn = "string",
  MaintenanceConfig = list(
    MaintenanceWindowStart = "string"
  ),
  Tier = "string",
  ApplicationConfig = list(
    AdminUsers = list(
      "string"
    ),
    Arguments = list(
      "string"
    )
  ),
  AuthType = "IAM",
  EnableIamSessionBasedIdentity = TRUE|FALSE,
  ClientToken = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  )
)