feat: [aiplatform] add service_networking.proto to aiplatform v1 (#9073)

* feat: add service_networking.proto to aiplatform v1
feat: add private_service_connect_config to IndexEndpoint in aiplatform v1 index_endpoint.proto
feat: add nas_job.proto to aiplatform v1
feat: add CreateNasJob, GetNasJob, ListNasJobs, DeleteNasJob, CancelNasJob, GetNasTrialDetail, ListNasTrialDetails RPCs to aiplatform v1 job_service.proto
feat: add original_model_info to Model in aiplatform v1 model.proto
feat: add CopyModel RPC to aiplatform v1 model_service.proto
feat: add failed_jobs to CustomJobDetail to aiplatform v1 pipeline_job.proto
feat: add safety_config to StudySpec in aiplatform v1 study.proto

PiperOrigin-RevId: 506776605

Source-Link: googleapis/googleapis@c7c17c0

Source-Link: https://github.com/googleapis/googleapis-gen/commit/d5217761a0cf1fc6bf240021d481eb9d70ca376a
Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiJkNTIxNzc2MWEwY2YxZmM2YmYyNDAwMjFkNDgxZWI5ZDcwY2EzNzZhIn0=

feat: add disable_explanations to DeployedModel in aiplatform v1beta1 endpoint.proto
feat: add service_networking.proto to aiplatform v1beta1
feat: add private_service_connect_config to IndexEndpoint in aiplatform v1beta1 index_endpoint.proto
feat: add nas_job.proto to aiplatform v1beta1
feat: add CreateNasJob, GetNasJob, ListNasJobs, DeleteNasJob, CancelNasJob, GetNasTrialDetail, ListNasTrialDetails RPCs to aiplatform v1beta1 job_service.proto
feat: add original_model_info to Model in aiplatform v1beta1 model.proto
feat: add CopyModel RPC to aiplatform v1beta1 model_service.proto
feat: add failed_jobs to CustomJobDetail to aiplatform v1beta1 pipeline_job.proto
feat: add safety_config to StudySpec in aiplatform v1beta1 study.proto

PiperOrigin-RevId: 506776591

Source-Link: googleapis/googleapis@a33b408

Source-Link: https://github.com/googleapis/googleapis-gen/commit/e15a8ce6c9181b2590358a8b01809859e020d792
Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiJlMTVhOGNlNmM5MTgxYjI1OTAzNThhOGIwMTgwOTg1OWUwMjBkNzkyIn0=

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java

@@ -22,6 +22,8 @@
 import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1.JobServiceClient.ListLocationsPagedResponse;
 import static com.google.cloud.aiplatform.v1.JobServiceClient.ListModelDeploymentMonitoringJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListNasJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListNasTrialDetailsPagedResponse;
 import static com.google.cloud.aiplatform.v1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPagedResponse;
 
 import com.google.api.core.ApiFunction;
@@ -202,6 +204,50 @@ public UnaryCallSettings<CancelDataLabelingJobRequest, Empty> cancelDataLabeling
     return ((JobServiceStubSettings) getStubSettings()).cancelHyperparameterTuningJobSettings();
   }
 
+  /** Returns the object with the settings used for calls to createNasJob. */
+  public UnaryCallSettings<CreateNasJobRequest, NasJob> createNasJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).createNasJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getNasJob. */
+  public UnaryCallSettings<GetNasJobRequest, NasJob> getNasJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getNasJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listNasJobs. */
+  public PagedCallSettings<ListNasJobsRequest, ListNasJobsResponse, ListNasJobsPagedResponse>
+      listNasJobsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listNasJobsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteNasJob. */
+  public UnaryCallSettings<DeleteNasJobRequest, Operation> deleteNasJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteNasJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteNasJob. */
+  public OperationCallSettings<DeleteNasJobRequest, Empty, DeleteOperationMetadata>
+      deleteNasJobOperationSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteNasJobOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelNasJob. */
+  public UnaryCallSettings<CancelNasJobRequest, Empty> cancelNasJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).cancelNasJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getNasTrialDetail. */
+  public UnaryCallSettings<GetNasTrialDetailRequest, NasTrialDetail> getNasTrialDetailSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getNasTrialDetailSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listNasTrialDetails. */
+  public PagedCallSettings<
+          ListNasTrialDetailsRequest, ListNasTrialDetailsResponse, ListNasTrialDetailsPagedResponse>
+      listNasTrialDetailsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listNasTrialDetailsSettings();
+  }
+
   /** Returns the object with the settings used for calls to createBatchPredictionJob. */
   public UnaryCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
       createBatchPredictionJobSettings() {
@@ -557,6 +603,54 @@ public UnaryCallSettings.Builder<CancelCustomJobRequest, Empty> cancelCustomJobS
       return getStubSettingsBuilder().cancelHyperparameterTuningJobSettings();
     }
 
+    /** Returns the builder for the settings used for calls to createNasJob. */
+    public UnaryCallSettings.Builder<CreateNasJobRequest, NasJob> createNasJobSettings() {
+      return getStubSettingsBuilder().createNasJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getNasJob. */
+    public UnaryCallSettings.Builder<GetNasJobRequest, NasJob> getNasJobSettings() {
+      return getStubSettingsBuilder().getNasJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listNasJobs. */
+    public PagedCallSettings.Builder<
+            ListNasJobsRequest, ListNasJobsResponse, ListNasJobsPagedResponse>
+        listNasJobsSettings() {
+      return getStubSettingsBuilder().listNasJobsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteNasJob. */
+    public UnaryCallSettings.Builder<DeleteNasJobRequest, Operation> deleteNasJobSettings() {
+      return getStubSettingsBuilder().deleteNasJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteNasJob. */
+    public OperationCallSettings.Builder<DeleteNasJobRequest, Empty, DeleteOperationMetadata>
+        deleteNasJobOperationSettings() {
+      return getStubSettingsBuilder().deleteNasJobOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelNasJob. */
+    public UnaryCallSettings.Builder<CancelNasJobRequest, Empty> cancelNasJobSettings() {
+      return getStubSettingsBuilder().cancelNasJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getNasTrialDetail. */
+    public UnaryCallSettings.Builder<GetNasTrialDetailRequest, NasTrialDetail>
+        getNasTrialDetailSettings() {
+      return getStubSettingsBuilder().getNasTrialDetailSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listNasTrialDetails. */
+    public PagedCallSettings.Builder<
+            ListNasTrialDetailsRequest,
+            ListNasTrialDetailsResponse,
+            ListNasTrialDetailsPagedResponse>
+        listNasTrialDetailsSettings() {
+      return getStubSettingsBuilder().listNasTrialDetailsSettings();
+    }
+
     /** Returns the builder for the settings used for calls to createBatchPredictionJob. */
     public UnaryCallSettings.Builder<CreateBatchPredictionJobRequest, BatchPredictionJob>
         createBatchPredictionJobSettings() {

java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java

@@ -1550,6 +1550,255 @@ public final UnaryCallable<ExportModelRequest, Operation> exportModelCallable()
     return stub.exportModelCallable();
   }
 
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
+   * }
+   * }</pre>
+   *
+   * @param parent Required. The resource name of the Location into which to copy the Model. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
+   *     same Project. Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
+      LocationName parent, ModelName sourceModel) {
+    CopyModelRequest request =
+        CopyModelRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setSourceModel(sourceModel == null ? null : sourceModel.toString())
+            .build();
+    return copyModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
+   * }
+   * }</pre>
+   *
+   * @param parent Required. The resource name of the Location into which to copy the Model. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
+   *     same Project. Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
+      LocationName parent, String sourceModel) {
+    CopyModelRequest request =
+        CopyModelRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setSourceModel(sourceModel)
+            .build();
+    return copyModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
+   * }
+   * }</pre>
+   *
+   * @param parent Required. The resource name of the Location into which to copy the Model. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
+   *     same Project. Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
+      String parent, ModelName sourceModel) {
+    CopyModelRequest request =
+        CopyModelRequest.newBuilder()
+            .setParent(parent)
+            .setSourceModel(sourceModel == null ? null : sourceModel.toString())
+            .build();
+    return copyModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
+   * }
+   * }</pre>
+   *
+   * @param parent Required. The resource name of the Location into which to copy the Model. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
+   *     same Project. Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
+      String parent, String sourceModel) {
+    CopyModelRequest request =
+        CopyModelRequest.newBuilder().setParent(parent).setSourceModel(sourceModel).build();
+    return copyModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   CopyModelRequest request =
+   *       CopyModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+   *           .build();
+   *   CopyModelResponse response = modelServiceClient.copyModelAsync(request).get();
+   * }
+   * }</pre>
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
+      CopyModelRequest request) {
+    return copyModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   CopyModelRequest request =
+   *       CopyModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+   *           .build();
+   *   OperationFuture<CopyModelResponse, CopyModelOperationMetadata> future =
+   *       modelServiceClient.copyModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   CopyModelResponse response = future.get();
+   * }
+   * }</pre>
+   */
+  public final OperationCallable<CopyModelRequest, CopyModelResponse, CopyModelOperationMetadata>
+      copyModelOperationCallable() {
+    return stub.copyModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Copies an already existing Vertex AI Model into the specified Location. The source Model must
+   * exist in the same Project. When copying custom Models, the users themselves are responsible for
+   * [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
+   * well as making sure that any resources (e.g. files) it depends on remain accessible.
+   *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   CopyModelRequest request =
+   *       CopyModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future = modelServiceClient.copyModelCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
+   */
+  public final UnaryCallable<CopyModelRequest, Operation> copyModelCallable() {
+    return stub.copyModelCallable();
+  }
+
   // AUTO-GENERATED DOCUMENTATION AND METHOD.
   /**
    * Imports an externally generated ModelEvaluation.