feat(client-evidently): Deprecate all Evidently API for AWS CloudWatch Evidently deprecation

Author: awstools

clients/client-evidently/README.md

@@ -6,16 +6,7 @@
 
 AWS SDK for JavaScript Evidently Client for Node.js, Browser and React Native.
 
-<p>You can use Amazon CloudWatch Evidently to safely validate new features by serving
-them to a specified percentage
-of your users while you roll out the feature. You can monitor the performance of the new feature
-to help you decide when to ramp up traffic to your users. This helps you
-reduce risk and identify unintended consequences before you fully launch the feature.</p>
-<p>You can also conduct A/B experiments to make feature design decisions based on evidence
-and data. An experiment can test as many as five variations at once. Evidently collects
-experiment data and analyzes it using statistical methods. It also provides clear
-recommendations about which variations perform better. You can test both user-facing features
-and backend features.</p>
+<p>You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.</p> <p>You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical methods. It also provides clear recommendations about which variations perform better. You can test both user-facing features and backend features.</p>
 
 ## Installing
 To install this package, simply type add or install @aws-sdk/client-evidently

clients/client-evidently/src/Evidently.ts

@@ -858,16 +858,7 @@ export interface Evidently {
 }
 
 /**
- * <p>You can use Amazon CloudWatch Evidently to safely validate new features by serving
- *       them to a specified percentage
- *       of your users while you roll out the feature. You can monitor the performance of the new feature
- *       to help you decide when to ramp up traffic to your users. This helps you
- *       reduce risk and identify unintended consequences before you fully launch the feature.</p>
- *          <p>You can also conduct A/B experiments to make feature design decisions based on evidence
- *       and data. An experiment can test as many as five variations at once. Evidently collects
- *       experiment data and analyzes it using statistical methods. It also provides clear
- *       recommendations about which variations perform better. You can test both user-facing features
- *       and backend features.</p>
+ * <p>You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.</p> <p>You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical methods. It also provides clear recommendations about which variations perform better. You can test both user-facing features and backend features.</p>
  * @public
  */
 export class Evidently extends EvidentlyClient implements Evidently {}

clients/client-evidently/src/EvidentlyClient.ts

@@ -404,16 +404,7 @@ export type EvidentlyClientResolvedConfigType = __SmithyResolvedConfiguration<__
 export interface EvidentlyClientResolvedConfig extends EvidentlyClientResolvedConfigType {}
 
 /**
- * <p>You can use Amazon CloudWatch Evidently to safely validate new features by serving
- *       them to a specified percentage
- *       of your users while you roll out the feature. You can monitor the performance of the new feature
- *       to help you decide when to ramp up traffic to your users. This helps you
- *       reduce risk and identify unintended consequences before you fully launch the feature.</p>
- *          <p>You can also conduct A/B experiments to make feature design decisions based on evidence
- *       and data. An experiment can test as many as five variations at once. Evidently collects
- *       experiment data and analyzes it using statistical methods. It also provides clear
- *       recommendations about which variations perform better. You can test both user-facing features
- *       and backend features.</p>
+ * <p>You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.</p> <p>You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical methods. It also provides clear recommendations about which variations perform better. You can test both user-facing features and backend features.</p>
  * @public
  */
 export class EvidentlyClient extends __Client<

clients/client-evidently/src/commands/BatchEvaluateFeatureCommand.ts

@@ -27,21 +27,9 @@ export interface BatchEvaluateFeatureCommandInput extends BatchEvaluateFeatureRe
 export interface BatchEvaluateFeatureCommandOutput extends BatchEvaluateFeatureResponse, __MetadataBearer {}
 
 /**
- * <p>This operation assigns feature variation to user sessions. For each user session, you pass
- *       in an <code>entityID</code> that represents the user. Evidently then checks the evaluation
- *       rules and assigns the variation.</p>
- *          <p>The first rules that are evaluated are the override rules. If the user's
- *         <code>entityID</code> matches an override rule, the user is served the variation specified
- *       by that rule.</p>
- *          <p>Next, if there is a launch of the feature, the user might be assigned to a variation in
- *       the launch. The chance of this depends on the percentage of users that are allocated to that
- *       launch. If the user is enrolled in the launch, the variation they are served depends on the
- *       allocation of the various feature variations used for the launch.</p>
- *          <p>If the user is not assigned to a launch, and there is an ongoing experiment for this feature,  the user might
- *       be assigned to a variation in the experiment. The chance of this
- *       depends on the percentage of users that are allocated to that experiment. If the user is enrolled in the experiment,
- *       the variation they are served depends on the allocation of the various feature variations used for the experiment. </p>
- *          <p>If the user is not assigned to a launch or experiment, they are served the default variation.</p>
+ * <p>This operation assigns feature variation to user sessions. For each user session, you pass in an <code>entityID</code> that represents the user. Evidently then checks the evaluation rules and assigns the variation.</p> <p>The first rules that are evaluated are the override rules. If the user's <code>entityID</code> matches an override rule, the user is served the variation specified by that rule.</p> <p>Next, if there is a launch of the feature, the user might be assigned to a variation in the launch. The chance of this depends on the percentage of users that are allocated to that launch. If the user is enrolled in the launch, the variation they are served depends on the allocation of the various feature variations used for the launch.</p> <p>If the user is not assigned to a launch, and there is an ongoing experiment for this feature, the user might be assigned to a variation in the experiment. The chance of this depends on the percentage of users that are allocated to that experiment. If the user is enrolled in the experiment, the variation they are served depends on the allocation of the various feature variations used for the experiment. </p> <p>If the user is not assigned to a launch or experiment, they are served the default variation.</p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/CreateExperimentCommand.ts

@@ -27,16 +27,9 @@ export interface CreateExperimentCommandInput extends CreateExperimentRequest {}
 export interface CreateExperimentCommandOutput extends CreateExperimentResponse, __MetadataBearer {}
 
 /**
- * <p>Creates an Evidently <i>experiment</i>. Before you create an experiment,
- *       you must create the feature to use for the experiment.</p>
- *          <p>An experiment helps you make feature design
- *        decisions based on evidence and data. An experiment can test as
- *        many as five variations at once. Evidently collects experiment data and analyzes it by statistical methods, and provides
- *        clear recommendations about which variations perform better.</p>
- *          <p>You can optionally specify a <code>segment</code> to have the experiment consider only certain audience
- *      types in the experiment, such as using only user sessions from a certain location or who use a certain internet browser.</p>
- *          <p>Don't use this operation to update an existing experiment. Instead, use
- *        <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateExperiment.html">UpdateExperiment</a>. </p>
+ * <p>Creates an Evidently <i>experiment</i>. Before you create an experiment, you must create the feature to use for the experiment.</p> <p>An experiment helps you make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it by statistical methods, and provides clear recommendations about which variations perform better.</p> <p>You can optionally specify a <code>segment</code> to have the experiment consider only certain audience types in the experiment, such as using only user sessions from a certain location or who use a certain internet browser.</p> <p>Don't use this operation to update an existing experiment. Instead, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateExperiment.html">UpdateExperiment</a>. </p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/CreateFeatureCommand.ts

@@ -27,11 +27,9 @@ export interface CreateFeatureCommandInput extends CreateFeatureRequest {}
 export interface CreateFeatureCommandOutput extends CreateFeatureResponse, __MetadataBearer {}
 
 /**
- * <p>Creates an Evidently <i>feature</i> that you want to launch or test. You can define up to
- *        five variations of a feature, and use these variations in your launches and experiments. A feature must be created in
- *        a project. For information about creating a project, see <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_CreateProject.html">CreateProject</a>.</p>
- *          <p>Don't use this operation to update an existing feature. Instead, use
- *        <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateFeature.html">UpdateFeature</a>. </p>
+ * <p>Creates an Evidently <i>feature</i> that you want to launch or test. You can define up to five variations of a feature, and use these variations in your launches and experiments. A feature must be created in a project. For information about creating a project, see <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_CreateProject.html">CreateProject</a>.</p> <p>Don't use this operation to update an existing feature. Instead, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateFeature.html">UpdateFeature</a>. </p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/CreateLaunchCommand.ts

@@ -27,14 +27,9 @@ export interface CreateLaunchCommandInput extends CreateLaunchRequest {}
 export interface CreateLaunchCommandOutput extends CreateLaunchResponse, __MetadataBearer {}
 
 /**
- * <p>Creates a <i>launch</i> of a given feature. Before you create a launch, you
- *       must create the feature to use for the launch.</p>
- *          <p>You can use a launch to safely validate new features by serving them to a specified
- *       percentage of your users while you roll out the feature. You can monitor the performance of
- *       the new feature to help you decide when to ramp up traffic to more users. This helps you
- *       reduce risk and identify unintended consequences before you fully launch the feature.</p>
- *          <p>Don't use this operation to update an existing launch. Instead, use
- *        <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateLaunch.html">UpdateLaunch</a>. </p>
+ * <p>Creates a <i>launch</i> of a given feature. Before you create a launch, you must create the feature to use for the launch.</p> <p>You can use a launch to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to more users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.</p> <p>Don't use this operation to update an existing launch. Instead, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateLaunch.html">UpdateLaunch</a>. </p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/CreateProjectCommand.ts

@@ -27,9 +27,9 @@ export interface CreateProjectCommandInput extends CreateProjectRequest {}
 export interface CreateProjectCommandOutput extends CreateProjectResponse, __MetadataBearer {}
 
 /**
- * <p>Creates a project, which is the logical object in Evidently that can contain features, launches, and
- *       experiments. Use projects to group similar features together.</p>
- *          <p>To update an existing project, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateProject.html">UpdateProject</a>.</p>
+ * <p>Creates a project, which is the logical object in Evidently that can contain features, launches, and experiments. Use projects to group similar features together.</p> <p>To update an existing project, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_UpdateProject.html">UpdateProject</a>.</p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/CreateSegmentCommand.ts

@@ -27,19 +27,9 @@ export interface CreateSegmentCommandInput extends CreateSegmentRequest {}
 export interface CreateSegmentCommandOutput extends CreateSegmentResponse, __MetadataBearer {}
 
 /**
- * <p>Use this operation to define a <i>segment</i> of your audience. A segment
- *       is a portion of your audience that share one or more characteristics. Examples could be Chrome browser users,
- *       users in Europe, or Firefox browser users in Europe who also fit other criteria that your application collects,
- *       such as age.</p>
- *          <p>Using a segment in an experiment limits that experiment to evaluate only the users who match the segment
- *       criteria. Using one or more segments in a launch allows you to define different traffic splits for the different
- *       audience segments.</p>
- *          <p>For more information about segment pattern syntax, see
- *       <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch-Evidently-segments.html#CloudWatch-Evidently-segments-syntax.html">
- *         Segment rule pattern syntax</a>.</p>
- *          <p>The pattern that you define for a segment is matched against the value of <code>evaluationContext</code>, which
- *       is passed into Evidently in the <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_EvaluateFeature.html">EvaluateFeature</a> operation,
- *       when Evidently assigns a feature variation to a user.</p>
+ * <p>Use this operation to define a <i>segment</i> of your audience. A segment is a portion of your audience that share one or more characteristics. Examples could be Chrome browser users, users in Europe, or Firefox browser users in Europe who also fit other criteria that your application collects, such as age.</p> <p>Using a segment in an experiment limits that experiment to evaluate only the users who match the segment criteria. Using one or more segments in a launch allows you to define different traffic splits for the different audience segments.</p> <p>For more information about segment pattern syntax, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch-Evidently-segments.html#CloudWatch-Evidently-segments-syntax.html"> Segment rule pattern syntax</a>.</p> <p>The pattern that you define for a segment is matched against the value of <code>evaluationContext</code>, which is passed into Evidently in the <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_EvaluateFeature.html">EvaluateFeature</a> operation, when Evidently assigns a feature variation to a user.</p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

clients/client-evidently/src/commands/DeleteExperimentCommand.ts

@@ -27,8 +27,9 @@ export interface DeleteExperimentCommandInput extends DeleteExperimentRequest {}
 export interface DeleteExperimentCommandOutput extends DeleteExperimentResponse, __MetadataBearer {}
 
 /**
- * <p>Deletes an Evidently experiment. The feature used for the experiment is not deleted.</p>
- *          <p>To stop an experiment without deleting it, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_StopExperiment.html">StopExperiment</a>. </p>
+ * <p>Deletes an Evidently experiment. The feature used for the experiment is not deleted.</p> <p>To stop an experiment without deleting it, use <a href="https://docs.aws.amazon.com/cloudwatchevidently/latest/APIReference/API_StopExperiment.html">StopExperiment</a>. </p>
+ *
+ * @deprecated AWS CloudWatch Evidently has been deprecated since 11/17/2025.
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript