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chore: regenerate aiplatform client (googleapis#28193)
Generated in GitHub action: https://togithub.com/googleapis/googleapis/google-api-java-client-services/actions/workflows/codegen.yaml
1 parent b60a7b7 commit 53c9e8c

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-38
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‎clients/google-api-services-aiplatform/v1/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20250711-2.0.0</version>
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<version>v1-rev20250715-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
@@ -35,7 +35,7 @@ repositories {
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250711-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250715-2.0.0'
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}
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```
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‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/Aiplatform.java

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@@ -21867,6 +21867,31 @@ public List setFilter(java.lang.String filter) {
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return this;
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}
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/**
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* Optional. Configures the Google Distributed Cloud (GDC) environment for online
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* prediction. Only set this field when the Endpoint is to be deployed in a GDC
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* environment.
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*/
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@com.google.api.client.util.Key
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private java.lang.String gdcZone;
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/** Optional. Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set
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this field when the Endpoint is to be deployed in a GDC environment.
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*/
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public java.lang.String getGdcZone() {
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return gdcZone;
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}
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/**
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* Optional. Configures the Google Distributed Cloud (GDC) environment for online
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* prediction. Only set this field when the Endpoint is to be deployed in a GDC
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* environment.
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*/
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public List setGdcZone(java.lang.String gdcZone) {
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this.gdcZone = gdcZone;
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return this;
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}
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/**
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* A comma-separated list of fields to order by, sorted in ascending order. Use "desc"
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* after a field name for descending. Supported fields: * `display_name` * `create_time` *
@@ -21957,8 +21982,8 @@ public List set(String parameterName, Object value) {
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}
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/**
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* Updates an existing deployed model. Updatable fields include `min_replica_count`,
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* `max_replica_count`, `autoscaling_metric_specs`, `disable_container_logging` (v1 only), and
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* `enable_container_logging` (v1beta1 only).
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* `max_replica_count`, `required_replica_count`, `autoscaling_metric_specs`,
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* `disable_container_logging` (v1 only), and `enable_container_logging` (v1beta1 only).
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*
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* Create a request for the method "endpoints.mutateDeployedModel".
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*
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/**
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* Updates an existing deployed model. Updatable fields include `min_replica_count`,
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* `max_replica_count`, `autoscaling_metric_specs`, `disable_container_logging` (v1 only), and
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* `enable_container_logging` (v1beta1 only).
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* `max_replica_count`, `required_replica_count`, `autoscaling_metric_specs`,
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* `disable_container_logging` (v1 only), and `enable_container_logging` (v1beta1 only).
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*
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* Create a request for the method "endpoints.mutateDeployedModel".
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*

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1DeployRequestModelConfig.java

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@@ -69,6 +69,16 @@ public final class GoogleCloudAiplatformV1DeployRequestModelConfig extends com.g
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@com.google.api.client.util.Key
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private java.lang.String modelDisplayName;
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/**
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* Optional. The ID to use for the uploaded Model, which will become the final component of the
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* model resource name. When not provided, Vertex AI will generate a value for this ID. When Model
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* Registry model is provided, this field will be ignored. This value may be up to 63 characters,
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* and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String modelUserId;
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/**
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* Optional. Whether the user accepts the End User License Agreement (EULA) for the model.
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* @return value or {@code null} for none
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return this;
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}
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/**
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* Optional. The ID to use for the uploaded Model, which will become the final component of the
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* model resource name. When not provided, Vertex AI will generate a value for this ID. When Model
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* Registry model is provided, this field will be ignored. This value may be up to 63 characters,
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* and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
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* @return value or {@code null} for none
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*/
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public java.lang.String getModelUserId() {
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return modelUserId;
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}
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/**
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* Optional. The ID to use for the uploaded Model, which will become the final component of the
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* model resource name. When not provided, Vertex AI will generate a value for this ID. When Model
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* Registry model is provided, this field will be ignored. This value may be up to 63 characters,
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* and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
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* @param modelUserId modelUserId or {@code null} for none
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*/
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public GoogleCloudAiplatformV1DeployRequestModelConfig setModelUserId(java.lang.String modelUserId) {
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this.modelUserId = modelUserId;
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return this;
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}
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@Override
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public GoogleCloudAiplatformV1DeployRequestModelConfig set(String fieldName, Object value) {
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return (GoogleCloudAiplatformV1DeployRequestModelConfig) super.set(fieldName, value);

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1DeployedModel.java

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@@ -116,6 +116,14 @@ public final class GoogleCloudAiplatformV1DeployedModel extends com.google.api.c
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@com.google.api.client.util.Key
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private GoogleCloudAiplatformV1FasterDeploymentConfig fasterDeploymentConfig;
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/**
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* GDC pretrained / Gemini model name. The model name is a plain model name, e.g.
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* gemini-1.5-flash-002.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String gdcConnectedModel;
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/**
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* Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will
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* generate a value for this ID. This value should be 1-10 characters, and valid characters are
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return this;
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}
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/**
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* GDC pretrained / Gemini model name. The model name is a plain model name, e.g.
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* gemini-1.5-flash-002.
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* @return value or {@code null} for none
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*/
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public java.lang.String getGdcConnectedModel() {
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return gdcConnectedModel;
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}
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/**
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* GDC pretrained / Gemini model name. The model name is a plain model name, e.g.
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* gemini-1.5-flash-002.
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* @param gdcConnectedModel gdcConnectedModel or {@code null} for none
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*/
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public GoogleCloudAiplatformV1DeployedModel setGdcConnectedModel(java.lang.String gdcConnectedModel) {
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this.gdcConnectedModel = gdcConnectedModel;
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return this;
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}
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/**
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* Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will
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* generate a value for this ID. This value should be 1-10 characters, and valid characters are

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1Endpoint.java

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@@ -118,6 +118,14 @@ public final class GoogleCloudAiplatformV1Endpoint extends com.google.api.client
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@com.google.api.client.util.Key
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private java.lang.String etag;
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/**
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* Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set this
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* field when the Endpoint is to be deployed in a GDC environment.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private GoogleCloudAiplatformV1GdcConfig gdcConfig;
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* advanced features like native RAG integration can be configured. Currently, only Model Garden
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}
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/**
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* Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set this
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* field when the Endpoint is to be deployed in a GDC environment.
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* @return value or {@code null} for none
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*/
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public GoogleCloudAiplatformV1GdcConfig getGdcConfig() {
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return gdcConfig;
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}
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/**
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* Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set this
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* field when the Endpoint is to be deployed in a GDC environment.
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* @param gdcConfig gdcConfig or {@code null} for none
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*/
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public GoogleCloudAiplatformV1Endpoint setGdcConfig(GoogleCloudAiplatformV1GdcConfig gdcConfig) {
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this.gdcConfig = gdcConfig;
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return this;
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}
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/**
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* advanced features like native RAG integration can be configured. Currently, only Model Garden

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1GdcConfig.java

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/*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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* in compliance with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software distributed under the License
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* is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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* or implied. See the License for the specific language governing permissions and limitations under
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* the License.
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*/
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/*
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* This code was generated by https://github.com/googleapis/google-api-java-client-services/
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* Modify at your own risk.
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*/
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package com.google.api.services.aiplatform.v1.model;
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/**
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* Google Distributed Cloud (GDC) config.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
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* <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>
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* </p>
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*
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* @author Google, Inc.
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*/
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@SuppressWarnings("javadoc")
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public final class GoogleCloudAiplatformV1GdcConfig extends com.google.api.client.json.GenericJson {
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/**
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* GDC zone. A cluster will be designated for the Vertex AI workload in this zone.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String zone;
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/**
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* GDC zone. A cluster will be designated for the Vertex AI workload in this zone.
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* @return value or {@code null} for none
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*/
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public java.lang.String getZone() {
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return zone;
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}
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/**
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* GDC zone. A cluster will be designated for the Vertex AI workload in this zone.
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* @param zone zone or {@code null} for none
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*/
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public GoogleCloudAiplatformV1GdcConfig setZone(java.lang.String zone) {
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this.zone = zone;
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return this;
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}
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@Override
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public GoogleCloudAiplatformV1GdcConfig set(String fieldName, Object value) {
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return (GoogleCloudAiplatformV1GdcConfig) super.set(fieldName, value);
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}
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@Override
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public GoogleCloudAiplatformV1GdcConfig clone() {
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return (GoogleCloudAiplatformV1GdcConfig) super.clone();
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}
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}

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1MutateDeployedModelRequest.java

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* Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be
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* mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources *
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* `max_replica_count` in either DedicatedResources or AutomaticResources *
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* autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging`
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* (v1beta1 only)
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* `required_replica_count` in DedicatedResources * autoscaling_metric_specs *
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* `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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* Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be
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* mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources *
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* `max_replica_count` in either DedicatedResources or AutomaticResources *
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* autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging`
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* (v1beta1 only)
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* `required_replica_count` in DedicatedResources * autoscaling_metric_specs *
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* `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)
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* @return value or {@code null} for none
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*/
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public GoogleCloudAiplatformV1DeployedModel getDeployedModel() {
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* Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be
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* mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources *
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* `max_replica_count` in either DedicatedResources or AutomaticResources *
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* autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging`
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* (v1beta1 only)
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* `required_replica_count` in DedicatedResources * autoscaling_metric_specs *
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* `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)
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* @param deployedModel deployedModel or {@code null} for none
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*/
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public GoogleCloudAiplatformV1MutateDeployedModelRequest setDeployedModel(GoogleCloudAiplatformV1DeployedModel deployedModel) {

‎clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1SupervisedHyperParameters.java

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/**
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* Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with
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* `learning_rate`.
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* `learning_rate`. This feature is only available for 1P models.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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/**
9292
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* `learning_rate`.
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* `learning_rate`. This feature is only available for 1P models.
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* @return value or {@code null} for none
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*/
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public java.lang.Double getLearningRateMultiplier() {
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/**
101101
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102-
* `learning_rate`.
102+
* `learning_rate`. This feature is only available for 1P models.
103103
* @param learningRateMultiplier learningRateMultiplier or {@code null} for none
104104
*/
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public GoogleCloudAiplatformV1SupervisedHyperParameters setLearningRateMultiplier(java.lang.Double learningRateMultiplier) {

‎clients/google-api-services-aiplatform/v1/2.0.0/pom.xml

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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20250711-2.0.0</version>
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<name>Vertex AI API v1-rev20250711-2.0.0</name>
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<version>v1-rev20250715-2.0.0</version>
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<name>Vertex AI API v1-rev20250715-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

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

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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20250711-2.0.0</version>
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<version>v1-rev20250715-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250711-2.0.0'
38+
implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250715-2.0.0'
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}
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```
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