chore: regenerate aiplatform client (googleapis#30304)

Generated in GitHub action: https://togithub.com/googleapis/googleapis/google-api-java-client-services/actions/workflows/codegen.yaml

Author: yoshi-code-bot

clients/google-api-services-aiplatform/v1/2.0.0/README.md

@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
     <dependency>
       <groupId>com.google.apis</groupId>
       <artifactId>google-api-services-aiplatform</artifactId>
-      <version>v1-rev20251204-2.0.0</version>
+      <version>v1-rev20251210-2.0.0</version>
     </dependency>
   </dependencies>
 </project>
@@ -35,7 +35,7 @@ repositories {
   mavenCentral()
 }
 dependencies {
-  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20251204-2.0.0'
+  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20251210-2.0.0'
 }
 ```
 

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/Aiplatform.java

@@ -155675,6 +155675,332 @@ public List set(String parameterName, Object value) {
     }
   }
 
+  /**
+   * An accessor for creating requests from the V1 collection.
+   *
+   * <p>The typical use is:</p>
+   * <pre>
+   *   {@code Aiplatform aiplatform = new Aiplatform(...);}
+   *   {@code Aiplatform.V1.List request = aiplatform.v1().list(parameters ...)}
+   * </pre>
+   *
+   * @return the resource collection
+   */
+  public V1 v1() {
+    return new V1();
+  }
+
+  /**
+   * The "v1" collection of methods.
+   */
+  public class V1 {
+
+    /**
+     * Evaluates a dataset based on a set of given metrics.
+     *
+     * Create a request for the method "v1.evaluateDataset".
+     *
+     * This request holds the parameters needed by the aiplatform server.  After setting any optional
+     * parameters, call the {@link EvaluateDataset#execute()} method to invoke the remote operation.
+     *
+     * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateDatasetRequest}
+     * @return the request
+     */
+    public EvaluateDataset evaluateDataset(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateDatasetRequest content) throws java.io.IOException {
+      EvaluateDataset result = new EvaluateDataset(content);
+      initialize(result);
+      return result;
+    }
+
+    public class EvaluateDataset extends AiplatformRequest<com.google.api.services.aiplatform.v1.model.GoogleLongrunningOperation> {
+
+      private static final String REST_PATH = "v1:evaluateDataset";
+
+      /**
+       * Evaluates a dataset based on a set of given metrics.
+       *
+       * Create a request for the method "v1.evaluateDataset".
+       *
+       * This request holds the parameters needed by the the aiplatform server.  After setting any
+       * optional parameters, call the {@link EvaluateDataset#execute()} method to invoke the remote
+       * operation. <p> {@link EvaluateDataset#initialize(com.google.api.client.googleapis.services.Abst
+       * ractGoogleClientRequest)} must be called to initialize this instance immediately after invoking
+       * the constructor. </p>
+       *
+       * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateDatasetRequest}
+       * @since 1.13
+       */
+      protected EvaluateDataset(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateDatasetRequest content) {
+        super(Aiplatform.this, "POST", REST_PATH, content, com.google.api.services.aiplatform.v1.model.GoogleLongrunningOperation.class);
+      }
+
+      @Override
+      public EvaluateDataset set$Xgafv(java.lang.String $Xgafv) {
+        return (EvaluateDataset) super.set$Xgafv($Xgafv);
+      }
+
+      @Override
+      public EvaluateDataset setAccessToken(java.lang.String accessToken) {
+        return (EvaluateDataset) super.setAccessToken(accessToken);
+      }
+
+      @Override
+      public EvaluateDataset setAlt(java.lang.String alt) {
+        return (EvaluateDataset) super.setAlt(alt);
+      }
+
+      @Override
+      public EvaluateDataset setCallback(java.lang.String callback) {
+        return (EvaluateDataset) super.setCallback(callback);
+      }
+
+      @Override
+      public EvaluateDataset setFields(java.lang.String fields) {
+        return (EvaluateDataset) super.setFields(fields);
+      }
+
+      @Override
+      public EvaluateDataset setKey(java.lang.String key) {
+        return (EvaluateDataset) super.setKey(key);
+      }
+
+      @Override
+      public EvaluateDataset setOauthToken(java.lang.String oauthToken) {
+        return (EvaluateDataset) super.setOauthToken(oauthToken);
+      }
+
+      @Override
+      public EvaluateDataset setPrettyPrint(java.lang.Boolean prettyPrint) {
+        return (EvaluateDataset) super.setPrettyPrint(prettyPrint);
+      }
+
+      @Override
+      public EvaluateDataset setQuotaUser(java.lang.String quotaUser) {
+        return (EvaluateDataset) super.setQuotaUser(quotaUser);
+      }
+
+      @Override
+      public EvaluateDataset setUploadType(java.lang.String uploadType) {
+        return (EvaluateDataset) super.setUploadType(uploadType);
+      }
+
+      @Override
+      public EvaluateDataset setUploadProtocol(java.lang.String uploadProtocol) {
+        return (EvaluateDataset) super.setUploadProtocol(uploadProtocol);
+      }
+
+      @Override
+      public EvaluateDataset set(String parameterName, Object value) {
+        return (EvaluateDataset) super.set(parameterName, value);
+      }
+    }
+    /**
+     * Evaluates instances based on a given metric.
+     *
+     * Create a request for the method "v1.evaluateInstances".
+     *
+     * This request holds the parameters needed by the aiplatform server.  After setting any optional
+     * parameters, call the {@link EvaluateInstances#execute()} method to invoke the remote operation.
+     *
+     * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesRequest}
+     * @return the request
+     */
+    public EvaluateInstances evaluateInstances(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesRequest content) throws java.io.IOException {
+      EvaluateInstances result = new EvaluateInstances(content);
+      initialize(result);
+      return result;
+    }
+
+    public class EvaluateInstances extends AiplatformRequest<com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesResponse> {
+
+      private static final String REST_PATH = "v1:evaluateInstances";
+
+      /**
+       * Evaluates instances based on a given metric.
+       *
+       * Create a request for the method "v1.evaluateInstances".
+       *
+       * This request holds the parameters needed by the the aiplatform server.  After setting any
+       * optional parameters, call the {@link EvaluateInstances#execute()} method to invoke the remote
+       * operation. <p> {@link EvaluateInstances#initialize(com.google.api.client.googleapis.services.Ab
+       * stractGoogleClientRequest)} must be called to initialize this instance immediately after
+       * invoking the constructor. </p>
+       *
+       * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesRequest}
+       * @since 1.13
+       */
+      protected EvaluateInstances(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesRequest content) {
+        super(Aiplatform.this, "POST", REST_PATH, content, com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1EvaluateInstancesResponse.class);
+      }
+
+      @Override
+      public EvaluateInstances set$Xgafv(java.lang.String $Xgafv) {
+        return (EvaluateInstances) super.set$Xgafv($Xgafv);
+      }
+
+      @Override
+      public EvaluateInstances setAccessToken(java.lang.String accessToken) {
+        return (EvaluateInstances) super.setAccessToken(accessToken);
+      }
+
+      @Override
+      public EvaluateInstances setAlt(java.lang.String alt) {
+        return (EvaluateInstances) super.setAlt(alt);
+      }
+
+      @Override
+      public EvaluateInstances setCallback(java.lang.String callback) {
+        return (EvaluateInstances) super.setCallback(callback);
+      }
+
+      @Override
+      public EvaluateInstances setFields(java.lang.String fields) {
+        return (EvaluateInstances) super.setFields(fields);
+      }
+
+      @Override
+      public EvaluateInstances setKey(java.lang.String key) {
+        return (EvaluateInstances) super.setKey(key);
+      }
+
+      @Override
+      public EvaluateInstances setOauthToken(java.lang.String oauthToken) {
+        return (EvaluateInstances) super.setOauthToken(oauthToken);
+      }
+
+      @Override
+      public EvaluateInstances setPrettyPrint(java.lang.Boolean prettyPrint) {
+        return (EvaluateInstances) super.setPrettyPrint(prettyPrint);
+      }
+
+      @Override
+      public EvaluateInstances setQuotaUser(java.lang.String quotaUser) {
+        return (EvaluateInstances) super.setQuotaUser(quotaUser);
+      }
+
+      @Override
+      public EvaluateInstances setUploadType(java.lang.String uploadType) {
+        return (EvaluateInstances) super.setUploadType(uploadType);
+      }
+
+      @Override
+      public EvaluateInstances setUploadProtocol(java.lang.String uploadProtocol) {
+        return (EvaluateInstances) super.setUploadProtocol(uploadProtocol);
+      }
+
+      @Override
+      public EvaluateInstances set(String parameterName, Object value) {
+        return (EvaluateInstances) super.set(parameterName, value);
+      }
+    }
+    /**
+     * Generates rubrics for a given prompt. A rubric represents a single testable criterion for
+     * evaluation. One input prompt could have multiple rubrics This RPC allows users to get suggested
+     * rubrics based on provided prompt, which can then be reviewed and used for subsequent evaluations.
+     *
+     * Create a request for the method "v1.generateInstanceRubrics".
+     *
+     * This request holds the parameters needed by the aiplatform server.  After setting any optional
+     * parameters, call the {@link GenerateInstanceRubrics#execute()} method to invoke the remote
+     * operation.
+     *
+     * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsRequest}
+     * @return the request
+     */
+    public GenerateInstanceRubrics generateInstanceRubrics(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsRequest content) throws java.io.IOException {
+      GenerateInstanceRubrics result = new GenerateInstanceRubrics(content);
+      initialize(result);
+      return result;
+    }
+
+    public class GenerateInstanceRubrics extends AiplatformRequest<com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsResponse> {
+
+      private static final String REST_PATH = "v1:generateInstanceRubrics";
+
+      /**
+       * Generates rubrics for a given prompt. A rubric represents a single testable criterion for
+       * evaluation. One input prompt could have multiple rubrics This RPC allows users to get suggested
+       * rubrics based on provided prompt, which can then be reviewed and used for subsequent
+       * evaluations.
+       *
+       * Create a request for the method "v1.generateInstanceRubrics".
+       *
+       * This request holds the parameters needed by the the aiplatform server.  After setting any
+       * optional parameters, call the {@link GenerateInstanceRubrics#execute()} method to invoke the
+       * remote operation. <p> {@link GenerateInstanceRubrics#initialize(com.google.api.client.googleapi
+       * s.services.AbstractGoogleClientRequest)} must be called to initialize this instance immediately
+       * after invoking the constructor. </p>
+       *
+       * @param content the {@link com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsRequest}
+       * @since 1.13
+       */
+      protected GenerateInstanceRubrics(com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsRequest content) {
+        super(Aiplatform.this, "POST", REST_PATH, content, com.google.api.services.aiplatform.v1.model.GoogleCloudAiplatformV1GenerateInstanceRubricsResponse.class);
+      }
+
+      @Override
+      public GenerateInstanceRubrics set$Xgafv(java.lang.String $Xgafv) {
+        return (GenerateInstanceRubrics) super.set$Xgafv($Xgafv);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setAccessToken(java.lang.String accessToken) {
+        return (GenerateInstanceRubrics) super.setAccessToken(accessToken);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setAlt(java.lang.String alt) {
+        return (GenerateInstanceRubrics) super.setAlt(alt);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setCallback(java.lang.String callback) {
+        return (GenerateInstanceRubrics) super.setCallback(callback);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setFields(java.lang.String fields) {
+        return (GenerateInstanceRubrics) super.setFields(fields);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setKey(java.lang.String key) {
+        return (GenerateInstanceRubrics) super.setKey(key);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setOauthToken(java.lang.String oauthToken) {
+        return (GenerateInstanceRubrics) super.setOauthToken(oauthToken);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setPrettyPrint(java.lang.Boolean prettyPrint) {
+        return (GenerateInstanceRubrics) super.setPrettyPrint(prettyPrint);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setQuotaUser(java.lang.String quotaUser) {
+        return (GenerateInstanceRubrics) super.setQuotaUser(quotaUser);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setUploadType(java.lang.String uploadType) {
+        return (GenerateInstanceRubrics) super.setUploadType(uploadType);
+      }
+
+      @Override
+      public GenerateInstanceRubrics setUploadProtocol(java.lang.String uploadProtocol) {
+        return (GenerateInstanceRubrics) super.setUploadProtocol(uploadProtocol);
+      }
+
+      @Override
+      public GenerateInstanceRubrics set(String parameterName, Object value) {
+        return (GenerateInstanceRubrics) super.set(parameterName, value);
+      }
+    }
+
+  }
+
   /**
    * Builder for {@link Aiplatform}.
    *

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1EvaluateDatasetRequest.java

@@ -44,6 +44,14 @@ public final class GoogleCloudAiplatformV1EvaluateDatasetRequest extends com.goo
   @com.google.api.client.util.Key
   private GoogleCloudAiplatformV1EvaluationDataset dataset;
 
+  /**
+   * Required. The resource name of the Location to evaluate the dataset. Format:
+   * `projects/{project}/locations/{location}`
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.String location;
+
   /**
    * Required. The metrics used for evaluation.
    * The value may be {@code null}.
@@ -94,6 +102,25 @@ public GoogleCloudAiplatformV1EvaluateDatasetRequest setDataset(GoogleCloudAipla
     return this;
   }
 
+  /**
+   * Required. The resource name of the Location to evaluate the dataset. Format:
+   * `projects/{project}/locations/{location}`
+   * @return value or {@code null} for none
+   */
+  public java.lang.String getLocation() {
+    return location;
+  }
+
+  /**
+   * Required. The resource name of the Location to evaluate the dataset. Format:
+   * `projects/{project}/locations/{location}`
+   * @param location location or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluateDatasetRequest setLocation(java.lang.String location) {
+    this.location = location;
+    return this;
+  }
+
   /**
    * Required. The metrics used for evaluation.
    * @return value or {@code null} for none