feat(client-sagemaker): Amazon SageMaker Canvas adds GenerativeAiSettings support for CanvasAppSettings.

awstools · awstools · commit 66c026cd4a26 · 2024-02-02T19:13:06.000Z
diff --git a/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts b/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts
@@ -29,8 +29,8 @@ export interface CreateAppImageConfigCommandOutput extends CreateAppImageConfigR
 /**
  * @public
  * <p>Creates a configuration for running a SageMaker image as a KernelGateway app. The
- *         configuration specifies the Amazon Elastic File System (EFS) storage volume on the image, and a list of the
- *         kernels in the image.</p>
+ *          configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the
+ *          kernels in the image.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts b/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts
@@ -29,12 +29,12 @@ export interface CreateCodeRepositoryCommandOutput extends CreateCodeRepositoryO
 /**
  * @public
  * <p>Creates a Git repository as a resource in your SageMaker account. You can associate the
- *             repository with notebook instances so that you can use Git source control for the
- *             notebooks you create. The Git repository is a resource in your SageMaker account, so it can
- *             be associated with more than one notebook instance, and it persists independently from
- *             the lifecycle of any notebook instances it is associated with.</p>
+ *          repository with notebook instances so that you can use Git source control for the
+ *          notebooks you create. The Git repository is a resource in your SageMaker account, so it can
+ *          be associated with more than one notebook instance, and it persists independently from
+ *          the lifecycle of any notebook instances it is associated with.</p>
  *          <p>The repository can be hosted either in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">Amazon Web Services CodeCommit</a>
- *             or in any other Git repository.</p>
+ *          or in any other Git repository.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts b/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts
@@ -5,8 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import { CreateCompilationJobRequest } from "../models/models_0";
-import { CreateCompilationJobResponse } from "../models/models_1";
+import { CreateCompilationJobRequest, CreateCompilationJobResponse } from "../models/models_1";
 import { de_CreateCompilationJobCommand, se_CreateCompilationJobCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 
diff --git a/clients/client-sagemaker/src/commands/CreateDomainCommand.ts b/clients/client-sagemaker/src/commands/CreateDomainCommand.ts
@@ -182,6 +182,9 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad
  *       KendraSettings: { // KendraSettings
  *         Status: "ENABLED" || "DISABLED",
  *       },
+ *       GenerativeAiSettings: { // GenerativeAiSettings
+ *         AmazonBedrockRoleArn: "STRING_VALUE",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/commands/CreateImageCommand.ts b/clients/client-sagemaker/src/commands/CreateImageCommand.ts
@@ -29,7 +29,7 @@ export interface CreateImageCommandOutput extends CreateImageResponse, __Metadat
 /**
  * @public
  * <p>Creates a custom SageMaker image. A SageMaker image is a set of image versions. Each image
- *         version represents a container image stored in Amazon Elastic Container Registry (ECR). For more information, see
+ *         version represents a container image stored in Amazon ECR. For more information, see
  *         <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/studio-byoi.html">Bring your own SageMaker image</a>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
diff --git a/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts b/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts
@@ -29,7 +29,7 @@ export interface CreateImageVersionCommandOutput extends CreateImageVersionRespo
 /**
  * @public
  * <p>Creates a version of the SageMaker image specified by <code>ImageName</code>. The version
- *         represents the Amazon Elastic Container Registry (ECR) container image specified by <code>BaseImage</code>.</p>
+ *         represents the Amazon ECR container image specified by <code>BaseImage</code>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts
@@ -29,39 +29,39 @@ export interface CreateNotebookInstanceCommandOutput extends CreateNotebookInsta
 /**
  * @public
  * <p>Creates an SageMaker notebook instance. A notebook instance is a machine learning (ML)
- *             compute instance running on a Jupyter notebook. </p>
+ *          compute instance running on a Jupyter notebook. </p>
  *          <p>In a <code>CreateNotebookInstance</code> request, specify the type of ML compute
- *             instance that you want to run. SageMaker launches the instance, installs common libraries
- *             that you can use to explore datasets for model training, and attaches an ML storage
- *             volume to the notebook instance. </p>
+ *          instance that you want to run. SageMaker launches the instance, installs common libraries
+ *          that you can use to explore datasets for model training, and attaches an ML storage
+ *          volume to the notebook instance. </p>
  *          <p>SageMaker also provides a set of example notebooks. Each notebook demonstrates how to
- *             use SageMaker with a specific algorithm or with a machine learning framework. </p>
+ *          use SageMaker with a specific algorithm or with a machine learning framework. </p>
  *          <p>After receiving the request, SageMaker does the following:</p>
  *          <ol>
  *             <li>
  *                <p>Creates a network interface in the SageMaker VPC.</p>
  *             </li>
  *             <li>
  *                <p>(Option) If you specified <code>SubnetId</code>, SageMaker creates a network
- *                     interface in your own VPC, which is inferred from the subnet ID that you provide
- *                     in the input. When creating this network interface, SageMaker attaches the security
- *                     group that you specified in the request to the network interface that it creates
- *                     in your VPC.</p>
+ *                interface in your own VPC, which is inferred from the subnet ID that you provide
+ *                in the input. When creating this network interface, SageMaker attaches the security
+ *                group that you specified in the request to the network interface that it creates
+ *                in your VPC.</p>
  *             </li>
  *             <li>
  *                <p>Launches an EC2 instance of the type specified in the request in the SageMaker
- *                     VPC. If you specified <code>SubnetId</code> of your VPC, SageMaker specifies both
- *                     network interfaces when launching this instance. This enables inbound traffic
- *                     from your own VPC to the notebook instance, assuming that the security groups
- *                     allow it.</p>
+ *                VPC. If you specified <code>SubnetId</code> of your VPC, SageMaker specifies both
+ *                network interfaces when launching this instance. This enables inbound traffic
+ *                from your own VPC to the notebook instance, assuming that the security groups
+ *                allow it.</p>
  *             </li>
  *          </ol>
  *          <p>After creating the notebook instance, SageMaker returns its Amazon Resource Name (ARN).
- *             You can't change the name of a notebook instance after you create it.</p>
+ *          You can't change the name of a notebook instance after you create it.</p>
  *          <p>After SageMaker creates the notebook instance, you can connect to the Jupyter server and
- *             work in Jupyter notebooks. For example, you can write code to explore a dataset that you
- *             can use for model training, train a model, host models by creating SageMaker endpoints, and
- *             validate hosted models. </p>
+ *          work in Jupyter notebooks. For example, you can write code to explore a dataset that you
+ *          can use for model training, train a model, host models by creating SageMaker endpoints, and
+ *          validate hosted models. </p>
  *          <p>For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html">How It Works</a>. </p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
diff --git a/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts
@@ -37,19 +37,19 @@ export interface CreateNotebookInstanceLifecycleConfigCommandOutput
 /**
  * @public
  * <p>Creates a lifecycle configuration that you can associate with a notebook instance. A
- *                 <i>lifecycle configuration</i> is a collection of shell scripts that
- *             run when you create or start a notebook instance.</p>
+ *          <i>lifecycle configuration</i> is a collection of shell scripts that
+ *          run when you create or start a notebook instance.</p>
  *          <p>Each lifecycle configuration script has a limit of 16384 characters.</p>
  *          <p>The value of the <code>$PATH</code> environment variable that is available to both
- *             scripts is <code>/sbin:bin:/usr/sbin:/usr/bin</code>.</p>
- *          <p>View CloudWatch Logs for notebook instance lifecycle configurations in log group
- *                 <code>/aws/sagemaker/NotebookInstances</code> in log stream
- *                 <code>[notebook-instance-name]/[LifecycleConfigHook]</code>.</p>
+ *          scripts is <code>/sbin:bin:/usr/sbin:/usr/bin</code>.</p>
+ *          <p>View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group
+ *          <code>/aws/sagemaker/NotebookInstances</code> in log stream
+ *          <code>[notebook-instance-name]/[LifecycleConfigHook]</code>.</p>
  *          <p>Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs
- *             for longer than 5 minutes, it fails and the notebook instance is not created or
- *             started.</p>
+ *          for longer than 5 minutes, it fails and the notebook instance is not created or
+ *          started.</p>
  *          <p>For information about notebook instance lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step
- *                 2.1: (Optional) Customize a Notebook Instance</a>.</p>
+ *          2.1: (Optional) Customize a Notebook Instance</a>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts b/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts
@@ -30,7 +30,7 @@ export interface CreatePresignedDomainUrlCommandOutput extends CreatePresignedDo
  * @public
  * <p>Creates a URL for a specified UserProfile in a Domain.  When accessed in a web browser,
  *        the user will be automatically signed in to the domain, and granted access to all of
- *        the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume.
+ *        the Apps and files associated with the Domain's Amazon Elastic File System volume.
  *        This operation can only be called when the authentication mode equals IAM.
  *    </p>
  *          <p>The IAM role or user passed to this API defines the permissions to access the app. Once
diff --git a/clients/client-sagemaker/src/commands/CreateSpaceCommand.ts b/clients/client-sagemaker/src/commands/CreateSpaceCommand.ts
@@ -28,7 +28,7 @@ export interface CreateSpaceCommandOutput extends CreateSpaceResponse, __Metadat
 
 /**
  * @public
- * <p>Creates a space used for real time collaboration in a Domain.</p>
+ * <p>Creates a space used for real time collaboration in a domain.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts b/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts
@@ -33,7 +33,7 @@ export interface CreateUserProfileCommandOutput extends CreateUserProfileRespons
  *      user-oriented features. This entity is created when a user onboards to a domain. If an
  *      administrator invites a person by email or imports them from IAM Identity Center, a user profile is
  *      automatically created. A user profile is the primary holder of settings for an individual
- *      user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
+ *      user and has a reference to the user's private Amazon Elastic File System home directory.
  *    </p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
@@ -153,6 +153,9 @@ export interface CreateUserProfileCommandOutput extends CreateUserProfileRespons
  *       KendraSettings: { // KendraSettings
  *         Status: "ENABLED" || "DISABLED",
  *       },
+ *       GenerativeAiSettings: { // GenerativeAiSettings
+ *         AmazonBedrockRoleArn: "STRING_VALUE",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts
@@ -29,11 +29,11 @@ export interface DeleteNotebookInstanceCommandOutput extends __MetadataBearer {}
 /**
  * @public
  * <p> Deletes an SageMaker notebook instance. Before you can delete a notebook instance, you
- *             must call the <code>StopNotebookInstance</code> API. </p>
+ *          must call the <code>StopNotebookInstance</code> API. </p>
  *          <important>
  *             <p>When you delete a notebook instance, you lose all of your data. SageMaker removes
- *                 the ML compute instance, and deletes the ML storage volume and the network interface
- *                 associated with the notebook instance. </p>
+ *             the ML compute instance, and deletes the ML storage volume and the network interface
+ *             associated with the notebook instance. </p>
  *          </important>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
diff --git a/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts b/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts
@@ -154,6 +154,9 @@ export interface DescribeDomainCommandOutput extends DescribeDomainResponse, __M
  * //       KendraSettings: { // KendraSettings
  * //         Status: "ENABLED" || "DISABLED",
  * //       },
+ * //       GenerativeAiSettings: { // GenerativeAiSettings
+ * //         AmazonBedrockRoleArn: "STRING_VALUE",
+ * //       },
  * //     },
  * //     CodeEditorAppSettings: { // CodeEditorAppSettings
  * //       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/commands/DescribeNotebookInstanceLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/DescribeNotebookInstanceLifecycleConfigCommand.ts
@@ -39,7 +39,7 @@ export interface DescribeNotebookInstanceLifecycleConfigCommandOutput
  * @public
  * <p>Returns a description of a notebook instance lifecycle configuration.</p>
  *          <p>For information about notebook instance lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step
- *                 2.1: (Optional) Customize a Notebook Instance</a>.</p>
+ *          2.1: (Optional) Customize a Notebook Instance</a>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts
@@ -5,8 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import { DescribeStudioLifecycleConfigRequest } from "../models/models_2";
-import { DescribeStudioLifecycleConfigResponse } from "../models/models_3";
+import { DescribeStudioLifecycleConfigRequest, DescribeStudioLifecycleConfigResponse } from "../models/models_3";
 import {
   de_DescribeStudioLifecycleConfigCommand,
   se_DescribeStudioLifecycleConfigCommand,
diff --git a/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts b/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts
@@ -153,6 +153,9 @@ export interface DescribeUserProfileCommandOutput extends DescribeUserProfileRes
  * //       KendraSettings: { // KendraSettings
  * //         Status: "ENABLED" || "DISABLED",
  * //       },
+ * //       GenerativeAiSettings: { // GenerativeAiSettings
+ * //         AmazonBedrockRoleArn: "STRING_VALUE",
+ * //       },
  * //     },
  * //     CodeEditorAppSettings: { // CodeEditorAppSettings
  * //       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/commands/ListAppImageConfigsCommand.ts b/clients/client-sagemaker/src/commands/ListAppImageConfigsCommand.ts
@@ -29,8 +29,8 @@ export interface ListAppImageConfigsCommandOutput extends ListAppImageConfigsRes
 /**
  * @public
  * <p>Lists the AppImageConfigs in your account and their properties. The list can be
- *         filtered by creation time or modified time, and whether the AppImageConfig name contains
- *         a specified string.</p>
+ *          filtered by creation time or modified time, and whether the AppImageConfig name contains
+ *          a specified string.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
diff --git a/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts b/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts
@@ -138,6 +138,9 @@ export interface UpdateDomainCommandOutput extends UpdateDomainResponse, __Metad
  *       KendraSettings: { // KendraSettings
  *         Status: "ENABLED" || "DISABLED",
  *       },
+ *       GenerativeAiSettings: { // GenerativeAiSettings
+ *         AmazonBedrockRoleArn: "STRING_VALUE",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/commands/UpdateUserProfileCommand.ts b/clients/client-sagemaker/src/commands/UpdateUserProfileCommand.ts
@@ -139,6 +139,9 @@ export interface UpdateUserProfileCommandOutput extends UpdateUserProfileRespons
  *       KendraSettings: { // KendraSettings
  *         Status: "ENABLED" || "DISABLED",
  *       },
+ *       GenerativeAiSettings: { // GenerativeAiSettings
+ *         AmazonBedrockRoleArn: "STRING_VALUE",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
diff --git a/clients/client-sagemaker/src/endpoint/ruleset.ts b/clients/client-sagemaker/src/endpoint/ruleset.ts
diff --git a/clients/client-sagemaker/src/models/models_0.ts b/clients/client-sagemaker/src/models/models_0.ts
diff --git a/clients/client-sagemaker/src/models/models_1.ts b/clients/client-sagemaker/src/models/models_1.ts
diff --git a/clients/client-sagemaker/src/models/models_2.ts b/clients/client-sagemaker/src/models/models_2.ts
diff --git a/clients/client-sagemaker/src/models/models_3.ts b/clients/client-sagemaker/src/models/models_3.ts
diff --git a/clients/client-sagemaker/src/models/models_4.ts b/clients/client-sagemaker/src/models/models_4.ts
diff --git a/clients/client-sagemaker/src/protocols/Aws_json1_1.ts b/clients/client-sagemaker/src/protocols/Aws_json1_1.ts
diff --git a/codegen/sdk-codegen/aws-models/sagemaker.json b/codegen/sdk-codegen/aws-models/sagemaker.json
