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"
    )
  )
)