chore: regenerate aiplatform client (#31518)

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-rev20260329-2.0.0</version>
+      <version>v1-rev20260410-2.0.0</version>
     </dependency>
   </dependencies>
 </project>
@@ -35,7 +35,7 @@ repositories {
   mavenCentral()
 }
 dependencies {
-  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260329-2.0.0'
+  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260410-2.0.0'
 }
 ```
 

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

@@ -0,0 +1,67 @@
+/*
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+ * in compliance with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under the License
+ * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+ * or implied. See the License for the specific language governing permissions and limitations under
+ * the License.
+ */
+/*
+ * This code was generated by https://github.com/googleapis/google-api-java-client-services/
+ * Modify at your own risk.
+ */
+
+package com.google.api.services.aiplatform.v1.model;
+
+/**
+ * Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or
+ * the LLM response from LLM-based metrics/Autoraters.
+ *
+ * <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
+ * transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
+ * <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
+ * </p>
+ *
+ * @author Google, Inc.
+ */
+@SuppressWarnings("javadoc")
+public final class GoogleCloudAiplatformV1EvaluationParserConfig extends com.google.api.client.json.GenericJson {
+
+  /**
+   * Optional. Use custom code to parse the LLM response.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig customCodeParserConfig;
+
+  /**
+   * Optional. Use custom code to parse the LLM response.
+   * @return value or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig getCustomCodeParserConfig() {
+    return customCodeParserConfig;
+  }
+
+  /**
+   * Optional. Use custom code to parse the LLM response.
+   * @param customCodeParserConfig customCodeParserConfig or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluationParserConfig setCustomCodeParserConfig(GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig customCodeParserConfig) {
+    this.customCodeParserConfig = customCodeParserConfig;
+    return this;
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1EvaluationParserConfig set(String fieldName, Object value) {
+    return (GoogleCloudAiplatformV1EvaluationParserConfig) super.set(fieldName, value);
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1EvaluationParserConfig clone() {
+    return (GoogleCloudAiplatformV1EvaluationParserConfig) super.clone();
+  }
+
+}

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1EvaluationParserConfig.java

@@ -0,0 +1,96 @@
+/*
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+ * in compliance with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under the License
+ * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+ * or implied. See the License for the specific language governing permissions and limitations under
+ * the License.
+ */
+/*
+ * This code was generated by https://github.com/googleapis/google-api-java-client-services/
+ * Modify at your own risk.
+ */
+
+package com.google.api.services.aiplatform.v1.model;
+
+/**
+ * Configuration for parsing the LLM response using custom code.
+ *
+ * <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
+ * transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
+ * <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
+ * </p>
+ *
+ * @author Google, Inc.
+ */
+@SuppressWarnings("javadoc")
+public final class GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig extends com.google.api.client.json.GenericJson {
+
+  /**
+   * Required. Python function for parsing results. The function should be defined within this
+   * string. The function takes a list of strings (LLM responses) and should return either a list of
+   * dictionaries (for rubrics) or a single dictionary (for a metric result). Example function
+   * signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When
+   * parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric.
+   * Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}},
+   * "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The
+   * response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique
+   * results, return a dictionary representing a MetricResult. Example for a metric result: {
+   * "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...]
+   * } ... code for result extraction and aggregation
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.String parsingFunction;
+
+  /**
+   * Required. Python function for parsing results. The function should be defined within this
+   * string. The function takes a list of strings (LLM responses) and should return either a list of
+   * dictionaries (for rubrics) or a single dictionary (for a metric result). Example function
+   * signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When
+   * parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric.
+   * Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}},
+   * "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The
+   * response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique
+   * results, return a dictionary representing a MetricResult. Example for a metric result: {
+   * "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...]
+   * } ... code for result extraction and aggregation
+   * @return value or {@code null} for none
+   */
+  public java.lang.String getParsingFunction() {
+    return parsingFunction;
+  }
+
+  /**
+   * Required. Python function for parsing results. The function should be defined within this
+   * string. The function takes a list of strings (LLM responses) and should return either a list of
+   * dictionaries (for rubrics) or a single dictionary (for a metric result). Example function
+   * signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When
+   * parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric.
+   * Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}},
+   * "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The
+   * response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique
+   * results, return a dictionary representing a MetricResult. Example for a metric result: {
+   * "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...]
+   * } ... code for result extraction and aggregation
+   * @param parsingFunction parsingFunction or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig setParsingFunction(java.lang.String parsingFunction) {
+    this.parsingFunction = parsingFunction;
+    return this;
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig set(String fieldName, Object value) {
+    return (GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig) super.set(fieldName, value);
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig clone() {
+    return (GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig) super.clone();
+  }
+
+}

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig.java

@@ -59,6 +59,14 @@ public final class GoogleCloudAiplatformV1EvaluationRunInferenceConfig extends c
   @com.google.api.client.util.Key
   private java.lang.String model;
 
+  /**
+   * Optional. The parallelism of the evaluation run for the inference step. If not specified, the
+   * default parallelism will be used.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.Integer parallelism;
+
   /**
    * Optional. Agent run config.
    * @return value or {@code null} for none
@@ -120,6 +128,25 @@ public GoogleCloudAiplatformV1EvaluationRunInferenceConfig setModel(java.lang.St
     return this;
   }
 
+  /**
+   * Optional. The parallelism of the evaluation run for the inference step. If not specified, the
+   * default parallelism will be used.
+   * @return value or {@code null} for none
+   */
+  public java.lang.Integer getParallelism() {
+    return parallelism;
+  }
+
+  /**
+   * Optional. The parallelism of the evaluation run for the inference step. If not specified, the
+   * default parallelism will be used.
+   * @param parallelism parallelism or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluationRunInferenceConfig setParallelism(java.lang.Integer parallelism) {
+    this.parallelism = parallelism;
+    return this;
+  }
+
   @Override
   public GoogleCloudAiplatformV1EvaluationRunInferenceConfig set(String fieldName, Object value) {
     return (GoogleCloudAiplatformV1EvaluationRunInferenceConfig) super.set(fieldName, value);

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1EvaluationRunInferenceConfig.java

@@ -29,6 +29,13 @@
 @SuppressWarnings("javadoc")
 public final class GoogleCloudAiplatformV1GenerateMemoriesRequest extends com.google.api.client.json.GenericJson {
 
+  /**
+   * Optional. Restricts memory generation to a subset of memory topics.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<GoogleCloudAiplatformV1MemoryTopicId> allowedTopics;
+
   /**
    * Defines a direct source of content as the source content from which to generate memories.
    * The value may be {@code null}.
@@ -116,6 +123,23 @@ public final class GoogleCloudAiplatformV1GenerateMemoriesRequest extends com.go
   @com.google.api.client.util.Key
   private GoogleCloudAiplatformV1GenerateMemoriesRequestVertexSessionSource vertexSessionSource;
 
+  /**
+   * Optional. Restricts memory generation to a subset of memory topics.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<GoogleCloudAiplatformV1MemoryTopicId> getAllowedTopics() {
+    return allowedTopics;
+  }
+
+  /**
+   * Optional. Restricts memory generation to a subset of memory topics.
+   * @param allowedTopics allowedTopics or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1GenerateMemoriesRequest setAllowedTopics(java.util.List<GoogleCloudAiplatformV1MemoryTopicId> allowedTopics) {
+    this.allowedTopics = allowedTopics;
+    return this;
+  }
+
   /**
    * Defines a direct source of content as the source content from which to generate memories.
    * @return value or {@code null} for none

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1GenerateMemoriesRequest.java

@@ -30,29 +30,80 @@
 public final class GoogleCloudAiplatformV1IntermediateExtractedMemory extends com.google.api.client.json.GenericJson {
 
   /**
-   * Output only. The fact of the extracted memory.
+   * Output only. Represents the explanation of why the information was extracted from the source
+   * content.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.String context;
+
+  /**
+   * Output only. Represents the fact of the extracted memory.
    * The value may be {@code null}.
    */
   @com.google.api.client.util.Key
   private java.lang.String fact;
 
   /**
-   * Output only. The fact of the extracted memory.
+   * Output only. Represents the structured value of the extracted memory.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.Map<String, java.lang.Object> structuredData;
+
+  /**
+   * Output only. Represents the explanation of why the information was extracted from the source
+   * content.
+   * @return value or {@code null} for none
+   */
+  public java.lang.String getContext() {
+    return context;
+  }
+
+  /**
+   * Output only. Represents the explanation of why the information was extracted from the source
+   * content.
+   * @param context context or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IntermediateExtractedMemory setContext(java.lang.String context) {
+    this.context = context;
+    return this;
+  }
+
+  /**
+   * Output only. Represents the fact of the extracted memory.
    * @return value or {@code null} for none
    */
   public java.lang.String getFact() {
     return fact;
   }
 
   /**
-   * Output only. The fact of the extracted memory.
+   * Output only. Represents the fact of the extracted memory.
    * @param fact fact or {@code null} for none
    */
   public GoogleCloudAiplatformV1IntermediateExtractedMemory setFact(java.lang.String fact) {
     this.fact = fact;
     return this;
   }
 
+  /**
+   * Output only. Represents the structured value of the extracted memory.
+   * @return value or {@code null} for none
+   */
+  public java.util.Map<String, java.lang.Object> getStructuredData() {
+    return structuredData;
+  }
+
+  /**
+   * Output only. Represents the structured value of the extracted memory.
+   * @param structuredData structuredData or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IntermediateExtractedMemory setStructuredData(java.util.Map<String, java.lang.Object> structuredData) {
+    this.structuredData = structuredData;
+    return this;
+  }
+
   @Override
   public GoogleCloudAiplatformV1IntermediateExtractedMemory set(String fieldName, Object value) {
     return (GoogleCloudAiplatformV1IntermediateExtractedMemory) super.set(fieldName, value);

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1IntermediateExtractedMemory.java

@@ -57,6 +57,13 @@ public final class GoogleCloudAiplatformV1LLMBasedMetricSpec extends com.google.
   @com.google.api.client.util.Key
   private GoogleCloudAiplatformV1PredefinedMetricSpec predefinedRubricGenerationSpec;
 
+  /**
+   * Optional. The parser config for the metric result.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private GoogleCloudAiplatformV1EvaluationParserConfig resultParserConfig;
+
   /**
    * Dynamically generate rubrics using this specification.
    * The value may be {@code null}.
@@ -147,6 +154,23 @@ public GoogleCloudAiplatformV1LLMBasedMetricSpec setPredefinedRubricGenerationSp
     return this;
   }
 
+  /**
+   * Optional. The parser config for the metric result.
+   * @return value or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1EvaluationParserConfig getResultParserConfig() {
+    return resultParserConfig;
+  }
+
+  /**
+   * Optional. The parser config for the metric result.
+   * @param resultParserConfig resultParserConfig or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1LLMBasedMetricSpec setResultParserConfig(GoogleCloudAiplatformV1EvaluationParserConfig resultParserConfig) {
+    this.resultParserConfig = resultParserConfig;
+    return this;
+  }
+
   /**
    * Dynamically generate rubrics using this specification.
    * @return value or {@code null} for none