feat: add saved_queries to Dataset in aiplatform v1 dataset.proto

feat: add order_by to ListModelVersionRequest in aiplatform v1 model_service.proto
feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1 study.proto
feat: add ReadTensorboardUsage rpc in aiplatform v1 tensorboard_service.proto

PiperOrigin-RevId: 500741387

google/cloud/aiplatform/v1/aiplatform_v1.yaml

@@ -181,18 +181,26 @@ http:
     additional_bindings:
     - get: '/v1/{name=projects/*}/locations'
   - selector: google.iam.v1.IAMPolicy.GetIamPolicy
-    post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy'
+    post: '/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy'
     additional_bindings:
+    - post: '/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy'
+    - post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy'
     - post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy'
   - selector: google.iam.v1.IAMPolicy.SetIamPolicy
-    post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy'
+    post: '/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy'
     body: '*'
     additional_bindings:
+    - post: '/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy'
+      body: '*'
+    - post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy'
+      body: '*'
     - post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy'
       body: '*'
   - selector: google.iam.v1.IAMPolicy.TestIamPermissions
-    post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions'
+    post: '/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions'
     additional_bindings:
+    - post: '/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions'
+    - post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions'
     - post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions'
   - selector: google.longrunning.Operations.CancelOperation
     post: '/ui/{name=projects/*/locations/*/operations/*}:cancel'

google/cloud/aiplatform/v1/annotation.proto

@@ -41,8 +41,9 @@ message Annotation {
   // Output only. Resource name of the Annotation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-  // schema is defined as an [OpenAPI 3.0.2 Schema
+  // Required. Google Cloud Storage URI points to a YAML file describing
+  // [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+  // defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -55,19 +56,23 @@ message Annotation {
   google.protobuf.Value payload = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Annotation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Annotation was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The source of the Annotation.
-  UserActionReference annotation_source = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  UserActionReference annotation_source = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your Annotations.
+  // Optional. The labels with user-defined metadata to organize your
+  // Annotations.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -84,7 +89,8 @@ message Annotation {
   //   If not set, the Annotation is not visible in the UI.
   //
   // * "aiplatform.googleapis.com/payload_schema":
-  //   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+  //   output only, its value is the
+  //   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
   //   title.
   map<string, string> labels = 6 [(google.api.field_behavior) = OPTIONAL];
 }

google/cloud/aiplatform/v1/annotation_spec.proto

@@ -44,12 +44,14 @@ message AnnotationSpec {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this AnnotationSpec was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when AnnotationSpec was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 }

google/cloud/aiplatform/v1/artifact.proto

@@ -75,10 +75,12 @@ message Artifact {
   map<string, string> labels = 10;
 
   // Output only. Timestamp when this Artifact was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Artifact was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The state of this Artifact. This is a property of the Artifact, and does
   // not imply or capture any ongoing process. This property is managed by

google/cloud/aiplatform/v1/batch_prediction_job.proto

@@ -38,8 +38,10 @@ option java_package = "com.google.cloud.aiplatform.v1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
 option ruby_package = "Google::Cloud::AIPlatform::V1";
 
-// A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
-// on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+// A job that uses a
+// [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
+// predictions on multiple [input
+// instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
 // predictions for significant portion of the instances fail, the job may finish
 // without attempting predictions for all remaining instances.
 message BatchPredictionJob {
@@ -48,9 +50,11 @@ message BatchPredictionJob {
     pattern: "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}"
   };
 
-  // Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-  // See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
-  // formats, and how instances should be expressed via any of them.
+  // Configures the input to
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+  // [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+  // for Model's supported input formats, and how instances should be expressed
+  // via any of them.
   message InputConfig {
     // Required. The source of the input.
     oneof source {
@@ -71,9 +75,11 @@ message BatchPredictionJob {
     string instances_format = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
-  // Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-  // See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
-  // formats, and how predictions are expressed via any of them.
+  // Configures the output of
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+  // [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats]
+  // for supported output formats, and how predictions are expressed via any of
+  // them.
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
@@ -84,11 +90,13 @@ message BatchPredictionJob {
       // Inside of it files `predictions_0001.<extension>`,
       // `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
       // are created where `<extension>` depends on chosen
-      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-      // number of successfully predicted instances.
-      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then each such file contains predictions as per the
+      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+      // and N may equal 0001 and depends on the total number of successfully
+      // predicted instances. If the Model has both
+      // [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then each such file contains predictions as per the
       // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
       // If prediction for any instance failed (partially or completely), then
       // an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -107,45 +115,51 @@ message BatchPredictionJob {
       // become underscores), and timestamp is in
       // YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
       // two tables will be created, `predictions`, and `errors`.
-      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then the tables have columns as follows: The `predictions`
-      // table contains instances for which the prediction succeeded, it
-      // has columns as per a concatenation of the Model's instance and
-      // prediction schemata. The `errors` table contains rows for which the
-      // prediction has failed, it has instance columns, as per the
+      // If the Model has both
+      // [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then the tables have columns as follows: The
+      // `predictions` table contains instances for which the prediction
+      // succeeded, it has columns as per a concatenation of the Model's
+      // instance and prediction schemata. The `errors` table contains rows for
+      // which the prediction has failed, it has instance columns, as per the
       // instance schema, followed by a single "errors" column, which as values
       // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
 
-    // Required. The format in which Vertex AI gives the predictions, must be one of the
-    // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+    // Required. The format in which Vertex AI gives the predictions, must be
+    // one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
     // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
     string predictions_format = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Further describes this job's output.
-  // Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  // Supplements
+  // [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Cloud Storage directory created, into which
-      // the prediction output is written.
-      string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+      // Output only. The full path of the Cloud Storage directory created, into
+      // which the prediction output is written.
+      string gcs_output_directory = 1
+          [(google.api.field_behavior) = OUTPUT_ONLY];
 
       // Output only. The path of the BigQuery dataset created, in
       // `bq://projectId.bqDatasetId`
       // format, into which the prediction output is written.
-      string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+      string bigquery_output_dataset = 2
+          [(google.api.field_behavior) = OUTPUT_ONLY];
     }
 
     // Output only. The name of the BigQuery table created, in
     // `predictions_<timestamp>`
     // format, into which the prediction output is written.
     // Can be used by UI to generate the BigQuery output path, for example.
-    string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    string bigquery_output_table = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Output only. Resource name of the BatchPredictionJob.
@@ -163,10 +177,11 @@ message BatchPredictionJob {
   // The model resource name may contain version id or version alias to specify
   // the version, if no version is specified, the default version will be used.
   string model = 3 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
-  // Output only. The version ID of the Model that produces the predictions via this job.
+  // Output only. The version ID of the Model that produces the predictions via
+  // this job.
   string model_version_id = 30 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Contains model information necessary to perform batch prediction without
@@ -174,15 +189,16 @@ message BatchPredictionJob {
   // Exactly one of model and unmanaged_container_model must be set.
   UnmanagedContainerModel unmanaged_container_model = 28;
 
-  // Required. Input configuration of the instances on which predictions are performed.
-  // The schema of any single instance may be specified via
-  // the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // Required. Input configuration of the instances on which predictions are
+  // performed. The schema of any single instance may be specified via the
+  // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
   InputConfig input_config = 4 [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the predictions. The schema of the parameters
-  // may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // may be specified via the
+  // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value model_parameters = 5;
@@ -198,7 +214,8 @@ message BatchPredictionJob {
   OutputConfig output_config = 6 [(google.api.field_behavior) = REQUIRED];
 
   // The config of resources used by the Model during the batch prediction. If
-  // the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+  // the Model
+  // [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
   // DEDICATED_RESOURCES this config may be provided (and the job will use these
   // resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
   // must be provided.
@@ -213,35 +230,50 @@ message BatchPredictionJob {
   // permission on this service account.
   string service_account = 29;
 
-  // Immutable. Parameters configuring the batch behavior. Currently only applicable when
-  // [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-  // the tuning itself).
-  ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. Parameters configuring the batch behavior. Currently only
+  // applicable when
+  // [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+  // are used (in other cases Vertex AI does the tuning itself).
+  ManualBatchTuningParameters manual_batch_tuning_parameters = 8
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // Generate explanation with the batch prediction results.
   //
   // When set to `true`, the batch prediction output changes based on the
   // `predictions_format` field of the
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+  // object:
   //
   //  * `bigquery`: output includes a column named `explanation`. The value
-  //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+  //    is a struct that conforms to the
+  //    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
   //  * `jsonl`: The JSON objects on each line include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
-  //    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+  //    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+  //    object.
   //  * `csv`: Generating explanations for CSV format is not supported.
   //
-  // If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+  // If this field is set to true, either the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // must be populated.
   bool generate_explanation = 23;
 
   // Explanation configuration for this BatchPredictionJob. Can be
-  // specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
+  // specified only if
+  // [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+  // is set to `true`.
   //
-  // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-  // the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+  // This value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // are optional in the request. If a field of the
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // object is not populated, the corresponding field of the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // object is inherited.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -258,32 +290,39 @@ message BatchPredictionJob {
   // For example, single files that can't be read.
   // This field never exceeds 20 entries.
   // Status details fields contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Information about resources that had been consumed by this job.
-  // Provided in real time at best effort basis, as well as a final value
+  // Output only. Information about resources that had been consumed by this
+  // job. Provided in real time at best effort basis, as well as a final value
   // once the job completes.
   //
   // Note: This field currently may be not populated for batch predictions that
   // use AutoML Models.
-  ResourcesConsumed resources_consumed = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  ResourcesConsumed resources_consumed = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Statistics on completed and failed prediction instances.
-  CompletionStats completion_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  CompletionStats completion_stats = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was created.
-  google.protobuf.Timestamp create_time = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob for the first time entered
+  // the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob entered any of the following
+  // states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 17
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was most recently updated.
-  google.protobuf.Timestamp update_time = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 18
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize BatchPredictionJobs.
   //

google/cloud/aiplatform/v1/completion_stats.proto

@@ -35,14 +35,16 @@ message CompletionStats {
   // Output only. The number of entities for which any error was encountered.
   int64 failed_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. In cases when enough errors are encountered a job, pipeline, or operation
-  // may be failed as a whole. Below is the number of entities for which the
-  // processing had not been finished (either in successful or failed state).
-  // Set to -1 if the number is unknown (for example, the operation failed
-  // before the total entity number could be collected).
+  // Output only. In cases when enough errors are encountered a job, pipeline,
+  // or operation may be failed as a whole. Below is the number of entities for
+  // which the processing had not been finished (either in successful or failed
+  // state). Set to -1 if the number is unknown (for example, the operation
+  // failed before the total entity number could be collected).
   int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of the successful forecast points that are generated by the
-  // forecasting model. This is ONLY used by the forecasting batch prediction.
-  int64 successful_forecast_point_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The number of the successful forecast points that are
+  // generated by the forecasting model. This is ONLY used by the forecasting
+  // batch prediction.
+  int64 successful_forecast_point_count = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/context.proto

@@ -57,13 +57,15 @@ message Context {
   map<string, string> labels = 9;
 
   // Output only. Timestamp when this Context was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Context was last updated.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of resource names of Contexts that are parents of this Context.
-  // A Context may have at most 10 parent_contexts.
+  // Output only. A list of resource names of Contexts that are parents of this
+  // Context. A Context may have at most 10 parent_contexts.
   repeated string parent_contexts = 12 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {

google/cloud/aiplatform/v1/custom_job.proto

@@ -60,18 +60,22 @@ message CustomJob {
   JobState state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob for the first time entered the
   // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob entered any of the following states:
   // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was most recently updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is `JOB_STATE_FAILED` or
   // `JOB_STATE_CANCELLED`.
@@ -94,7 +98,8 @@ message CustomJob {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if
-  // [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+  // [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+  // is `true`.
   //
   // The keys are names of each node in the training job; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -102,15 +107,17 @@ message CustomJob {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map<string, string> web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map<string, string> web_access_uris = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents the spec of a CustomJob.
 message CustomJobSpec {
-  // Required. The spec of the worker pools including machine type and Docker image.
-  // All worker pools except the first one are optional and can be skipped by
-  // providing an empty value.
-  repeated WorkerPoolSpec worker_pool_specs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The spec of the worker pools including machine type and Docker
+  // image. All worker pools except the first one are optional and can be
+  // skipped by providing an empty value.
+  repeated WorkerPoolSpec worker_pool_specs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Scheduling options for a CustomJob.
   Scheduling scheduling = 3;
@@ -137,9 +144,7 @@ message CustomJobSpec {
   // If this field is left unspecified, the job is not peered with any network.
   string network = 5 [
     (google.api.field_behavior) = OPTIONAL,
-    (google.api.resource_reference) = {
-      type: "compute.googleapis.com/Network"
-    }
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
   ];
 
   // Optional. A list of names for the reserved ip ranges under the VPC network
@@ -150,14 +155,15 @@ message CustomJobSpec {
   // network.
   //
   // Example: ['vertex-ai-ip-range'].
-  repeated string reserved_ip_ranges = 13 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 13
+      [(google.api.field_behavior) = OPTIONAL];
 
   // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
   // the baseOutputDirectory of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-  // baseOutputDirectory.
+  // [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+  // HyperparameterTuningJob's baseOutputDirectory.
   //
   // The following Vertex AI environment variables will be passed to
   // containers or python modules when this field is set:
@@ -175,9 +181,9 @@ message CustomJobSpec {
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
   GcsDestination base_output_directory = 6;
 
-  // Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-  // will upload Tensorboard logs.
-  // Format:
+  // Optional. The name of a Vertex AI
+  // [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+  // this CustomJob will upload Tensorboard logs. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string tensorboard = 7 [
     (google.api.field_behavior) = OPTIONAL,
@@ -191,7 +197,11 @@ message CustomJobSpec {
   // to training containers.
   //
   // If set to `true`, you can access interactive shells at the URIs given
-  // by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+  // by
+  // [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+  // or
+  // [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+  // (within
   // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
   bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
 }
@@ -225,8 +235,8 @@ message WorkerPoolSpec {
 
 // The spec of a Container.
 message ContainerSpec {
-  // Required. The URI of a container image in the Container Registry that is to be run on
-  // each worker replica.
+  // Required. The URI of a container image in the Container Registry that is to
+  // be run on each worker replica.
   string image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The command to be invoked when the container is started.
@@ -243,17 +253,17 @@ message ContainerSpec {
 
 // The spec of a Python packaged code.
 message PythonPackageSpec {
-  // Required. The URI of a container image in Artifact Registry that will run the
-  // provided Python package. Vertex AI provides a wide range of executor
+  // Required. The URI of a container image in Artifact Registry that will run
+  // the provided Python package. Vertex AI provides a wide range of executor
   // images with pre-installed packages to meet users' various use cases. See
   // the list of [pre-built containers for
   // training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
   // You must use an image from this list.
   string executor_image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the Python package files which are
-  // the training program and its dependent packages.
-  // The maximum number of package URIs is 100.
+  // Required. The Google Cloud Storage location of the Python package files
+  // which are the training program and its dependent packages. The maximum
+  // number of package URIs is 100.
   repeated string package_uris = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Python module name to run after installing the packages.

google/cloud/aiplatform/v1/data_item.proto

@@ -41,10 +41,12 @@ message DataItem {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your DataItems.
   //
@@ -59,12 +61,13 @@ message DataItem {
   // and are immutable.
   map<string, string> labels = 3 [(google.api.field_behavior) = OPTIONAL];
 
-  // Required. The data that the DataItem represents (for example, an image or a text
-  // snippet). The schema of the payload is stored in the parent Dataset's
-  // [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+  // Required. The data that the DataItem represents (for example, an image or a
+  // text snippet). The schema of the payload is stored in the parent Dataset's
+  // [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+  // dataItemSchemaUri field.
   google.protobuf.Value payload = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 }

google/cloud/aiplatform/v1/data_labeling_job.proto

@@ -50,9 +50,8 @@ message DataLabelingJob {
   // Display name of a DataLabelingJob.
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Dataset resource names. Right now we only support labeling from a single
-  // Dataset.
-  // Format:
+  // Required. Dataset resource names. Right now we only support labeling from a
+  // single Dataset. Format:
   // `projects/{project}/locations/{location}/datasets/{dataset}`
   repeated string datasets = 3 [
     (google.api.field_behavior) = REQUIRED,
@@ -74,14 +73,14 @@ message DataLabelingJob {
   // Required. Number of labelers to work on each DataItem.
   int32 labeler_count = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-  // shared with labelers, and provides detailed description on how to label
-  // DataItems in Datasets.
+  // Required. The Google Cloud Storage location of the instruction pdf. This
+  // pdf is shared with labelers, and provides detailed description on how to
+  // label DataItems in Datasets.
   string instruction_uri = 5 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the
-  // config for a specific type of DataLabelingJob.
-  // The schema files that can be used here are found in the
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the config for a specific type of DataLabelingJob. The schema files that
+  // can be used here are found in the
   // https://storage.googleapis.com/google-cloud-aiplatform bucket in the
   // /schema/datalabelingjob/inputs/ folder.
   string inputs_schema_uri = 6 [(google.api.field_behavior) = REQUIRED];
@@ -92,22 +91,25 @@ message DataLabelingJob {
   // Output only. The detailed state of the job.
   JobState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Current labeling job progress percentage scaled in interval [0, 100],
-  // indicating the percentage of DataItems that has been finished.
+  // Output only. Current labeling job progress percentage scaled in interval
+  // [0, 100], indicating the percentage of DataItems that has been finished.
   int32 labeling_progress = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-  // date.
-  google.type.Money current_spend = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+  // incurred to date.
+  google.type.Money current_spend = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was created.
-  google.protobuf.Timestamp create_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was updated most recently.
-  google.protobuf.Timestamp update_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. DataLabelingJob errors. It is only populated when job's state is
-  // `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+  // Output only. DataLabelingJob errors. It is only populated when job's state
+  // is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
   google.rpc.Status error = 22 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your DataLabelingJobs.
@@ -121,7 +123,8 @@ message DataLabelingJob {
   // and are immutable. Following system labels exist for each DataLabelingJob:
   //
   // * "aiplatform.googleapis.com/schema": output only, its value is the
-  //   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+  //   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+  //   title.
   map<string, string> labels = 11;
 
   // The SpecialistPools' resource names associated with this job.

google/cloud/aiplatform/v1/dataset.proto

@@ -20,6 +20,7 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/saved_query.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -49,21 +50,22 @@ message Dataset {
   // The description of the Dataset.
   string description = 16;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Dataset.
-  // The schema is defined as an OpenAPI 3.0.2 Schema Object.
-  // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Dataset. The schema is defined as an
+  // OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+  // found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   string metadata_schema_uri = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Required. Additional information about the Dataset.
   google.protobuf.Value metadata = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Dataset was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Dataset was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -82,15 +84,27 @@ message Dataset {
   // and are immutable. Following system labels exist for each Dataset:
   //
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-  //   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+  //   value is the
+  //   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+  //   title.
   map<string, string> labels = 7;
 
+  // All SavedQueries belong to the Dataset will be returned in List/Get
+  // Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+  // will not be populated except for UI cases which will only use
+  // [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+  // In CreateDataset request, a SavedQuery is created together if
+  // this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+  // The SavedQuery should not contain any AnnotationSpec.
+  repeated SavedQuery saved_queries = 9;
+
   // Customer-managed encryption key spec for a Dataset. If set, this Dataset
   // and all sub-resources of this Dataset will be secured by this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Dataset. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Dataset. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
@@ -114,21 +128,26 @@ message ImportDataConfig {
   // considered identical if their content bytes are identical (e.g. image bytes
   // or pdf bytes).
   // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map<string, string> data_item_labels = 2;
 
   // Labels that will be applied to newly imported Annotations. If two
   // Annotations are identical, one of them will be deduped. Two Annotations are
-  // considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-  // [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-  // [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-  // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // considered identical if their
+  // [payload][google.cloud.aiplatform.v1.Annotation.payload],
+  // [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+  // and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+  // the same. These labels will be overridden by Annotation labels specified
+  // inside index file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map<string, string> annotation_labels = 3;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the import
-  // format. Validation will be done against the schema. The schema is defined
-  // as an [OpenAPI 3.0.2 Schema
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the import format. Validation will be done against the schema. The schema
+  // is defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string import_schema_uri = 4 [(google.api.field_behavior) = REQUIRED];
 }

google/cloud/aiplatform/v1/dataset_service.proto

@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // resources.
 service DatasetService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Dataset.
-  rpc CreateDataset(CreateDatasetRequest) returns (google.longrunning.Operation) {
+  rpc CreateDataset(CreateDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/datasets"
       body: "dataset"
@@ -82,7 +84,8 @@ service DatasetService {
   }
 
   // Deletes a Dataset.
-  rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataset(DeleteDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/datasets/*}"
     };
@@ -128,14 +131,16 @@ service DatasetService {
   }
 
   // Searches DataItems in a Dataset.
-  rpc SearchDataItems(SearchDataItemsRequest) returns (SearchDataItemsResponse) {
+  rpc SearchDataItems(SearchDataItemsRequest)
+      returns (SearchDataItemsResponse) {
     option (google.api.http) = {
       get: "/v1/{dataset=projects/*/locations/*/datasets/*}:searchDataItems"
     };
   }
 
   // Lists SavedQueries in a Dataset.
-  rpc ListSavedQueries(ListSavedQueriesRequest) returns (ListSavedQueriesResponse) {
+  rpc ListSavedQueries(ListSavedQueriesRequest)
+      returns (ListSavedQueriesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
     };
@@ -151,7 +156,8 @@ service DatasetService {
   }
 
   // Lists Annotations belongs to a dataitem
-  rpc ListAnnotations(ListAnnotationsRequest) returns (ListAnnotationsResponse) {
+  rpc ListAnnotations(ListAnnotationsRequest)
+      returns (ListAnnotationsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/datasets/*/dataItems/*}/annotations"
     };
@@ -159,7 +165,8 @@ service DatasetService {
   }
 }
 
-// Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+// Request message for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
 message CreateDatasetRequest {
   // Required. The resource name of the Location to create the Dataset in.
   // Format: `projects/{project}/locations/{location}`
@@ -174,13 +181,15 @@ message CreateDatasetRequest {
   Dataset dataset = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+// Runtime operation information for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
 message CreateDatasetOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+// Request message for
+// [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
 message GetDatasetRequest {
   // Required. The name of the Dataset resource.
   string name = 1 [
@@ -194,22 +203,25 @@ message GetDatasetRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+// Request message for
+// [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
 message UpdateDatasetRequest {
   // Required. The Dataset which replaces the resource on the server.
   Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  // Updatable fields:
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
   //
   //   * `display_name`
   //   * `description`
   //   * `labels`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+// Request message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
 message ListDatasetsRequest {
   // Required. The name of the Dataset's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -255,7 +267,8 @@ message ListDatasetsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+// Response message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
 message ListDatasetsResponse {
   // A list of Datasets that matches the specified filter in the request.
   repeated Dataset datasets = 1;
@@ -264,7 +277,8 @@ message ListDatasetsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+// Request message for
+// [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
 message DeleteDatasetRequest {
   // Required. The resource name of the Dataset to delete.
   // Format:
@@ -277,7 +291,8 @@ message DeleteDatasetRequest {
   ];
 }
 
-// Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+// Request message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
 message ImportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -289,23 +304,25 @@ message ImportDataRequest {
     }
   ];
 
-  // Required. The desired input locations. The contents of all input locations will be
-  // imported in one batch.
-  repeated ImportDataConfig import_configs = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The desired input locations. The contents of all input locations
+  // will be imported in one batch.
+  repeated ImportDataConfig import_configs = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
-message ImportDataResponse {
+// Response message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+message ImportDataResponse {}
 
-}
-
-// Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+// Runtime operation information for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
 message ImportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Request message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -321,13 +338,15 @@ message ExportDataRequest {
   ExportDataConfig export_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Response message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataResponse {
   // All of the files that are exported in this export operation.
   repeated string exported_files = 1;
 }
 
-// Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Runtime operation information for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
@@ -337,7 +356,8 @@ message ExportDataOperationMetadata {
   string gcs_output_directory = 2;
 }
 
-// Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+// Request message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
 message ListDataItemsRequest {
   // Required. The resource name of the Dataset to list DataItems from.
   // Format:
@@ -366,7 +386,8 @@ message ListDataItemsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+// Response message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
 message ListDataItemsResponse {
   // A list of DataItems that matches the specified filter in the request.
   repeated DataItem data_items = 1;
@@ -375,12 +396,13 @@ message ListDataItemsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+// Request message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
 message SearchDataItemsRequest {
   // Expression that allows ranking results based on annotation's property.
   message OrderByAnnotation {
-    // Required. Saved query of the Annotation. Only Annotations belong to this saved
-    // query will be considered for ordering.
+    // Required. Saved query of the Annotation. Only Annotations belong to this
+    // saved query will be considered for ordering.
     string saved_query = 1 [(google.api.field_behavior) = REQUIRED];
 
     // A comma-separated list of annotation fields to order by, sorted in
@@ -452,7 +474,8 @@ message SearchDataItemsRequest {
   // belong to.
   repeated string annotation_filters = 11;
 
-  // Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+  // Mask specifying which fields of
+  // [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
   google.protobuf.FieldMask field_mask = 6;
 
   // If set, only up to this many of Annotations will be returned per
@@ -470,18 +493,23 @@ message SearchDataItemsRequest {
 
   // A token identifying a page of results for the server to return
   // Typically obtained via
-  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+  // of the previous
+  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+  // call.
   string page_token = 10;
 }
 
-// Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+// Response message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
 message SearchDataItemsResponse {
   // The DataItemViews read.
   repeated DataItemView data_item_views = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+  // Pass to
+  // [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
@@ -504,7 +532,8 @@ message DataItemView {
   bool has_truncated_annotations = 3;
 }
 
-// Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+// Request message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
 message ListSavedQueriesRequest {
   // Required. The resource name of the Dataset to list SavedQueries from.
   // Format:
@@ -533,7 +562,8 @@ message ListSavedQueriesRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+// Response message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
 message ListSavedQueriesResponse {
   // A list of SavedQueries that match the specified filter in the request.
   repeated SavedQuery saved_queries = 1;
@@ -542,7 +572,8 @@ message ListSavedQueriesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+// Request message for
+// [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
 message GetAnnotationSpecRequest {
   // Required. The name of the AnnotationSpec resource.
   // Format:
@@ -558,7 +589,8 @@ message GetAnnotationSpecRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+// Request message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
 message ListAnnotationsRequest {
   // Required. The resource name of the DataItem to list Annotations from.
   // Format:
@@ -587,7 +619,8 @@ message ListAnnotationsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+// Response message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
 message ListAnnotationsResponse {
   // A list of Annotations that matches the specified filter in the request.
   repeated Annotation annotations = 1;

google/cloud/aiplatform/v1/encryption_spec.proto

@@ -29,8 +29,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // Represents a customer-managed encryption key spec that can be applied to
 // a top-level resource.
 message EncryptionSpec {
-  // Required. The Cloud KMS resource identifier of the customer managed encryption key
-  // used to protect a resource. Has the form:
+  // Required. The Cloud KMS resource identifier of the customer managed
+  // encryption key used to protect a resource. Has the form:
   // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
   // The key needs to be in the same region as where the compute resource is
   // created.

google/cloud/aiplatform/v1/endpoint.proto

@@ -52,9 +52,13 @@ message Endpoint {
   string description = 3;
 
   // Output only. The models deployed in this Endpoint.
-  // To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
-  repeated DeployedModel deployed_models = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // To add or remove DeployedModels use
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+  // and
+  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+  // respectively.
+  repeated DeployedModel deployed_models = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // A map from a DeployedModel's ID to the percentage of this Endpoint's
   // traffic that should be forwarded to that DeployedModel.
@@ -80,10 +84,12 @@ message Endpoint {
   map<string, string> labels = 7;
 
   // Output only. Timestamp when this Endpoint was created.
-  google.protobuf.Timestamp create_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Endpoint was last updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for an Endpoint. If set, this
   // Endpoint and all sub-resources of this Endpoint will be secured by
@@ -97,7 +103,8 @@ message Endpoint {
   // Private services access must already be configured for the network. If left
   // unspecified, the Endpoint is not peered with any network.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
   // can be set.
   //
@@ -105,20 +112,21 @@ message Endpoint {
   // `projects/{project}/global/networks/{network}`.
   // Where `{project}` is a project number, as in `12345`, and `{network}` is
   // network name.
-  string network = 13 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 13 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
   // Deprecated: If true, expose the Endpoint via private service connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
   // can be set.
   bool enable_private_service_connect = 17 [deprecated = true];
 
-  // Output only. Resource name of the Model Monitoring job associated with this Endpoint
-  // if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-  // Format:
+  // Output only. Resource name of the Model Monitoring job associated with this
+  // Endpoint if monitoring is enabled by
+  // [CreateModelDeploymentMonitoringJob][]. Format:
   // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
   string model_deployment_monitoring_job = 14 [
     (google.api.field_behavior) = OUTPUT_ONLY,
@@ -128,7 +136,8 @@ message Endpoint {
   ];
 
   // Configures the request-response logging for online prediction.
-  PredictRequestResponseLoggingConfig predict_request_response_logging_config = 18;
+  PredictRequestResponseLoggingConfig predict_request_response_logging_config =
+      18;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -148,14 +157,15 @@ message DeployedModel {
     AutomaticResources automatic_resources = 8;
   }
 
-  // Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-  // will generate a value for this ID.
+  // Immutable. The ID of the DeployedModel. If not provided upon deployment,
+  // Vertex AI will generate a value for this ID.
   //
   // This value should be 1-10 characters, and valid characters are /[0-9]/.
   string id = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Required. The resource name of the Model that this is the deployment of. Note that
-  // the Model may be in a different location than the DeployedModel's Endpoint.
+  // Required. The resource name of the Model that this is the deployment of.
+  // Note that the Model may be in a different location than the DeployedModel's
+  // Endpoint.
   //
   // The resource name may contain version id or version alias to specify the
   // version, if no version is specified, the default version will be deployed.
@@ -174,17 +184,26 @@ message DeployedModel {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedModel was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Explanation configuration for this DeployedModel.
   //
-  // When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-  // overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+  // When deploying a Model using
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+  // this value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // are optional in the request. If a field of
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // is not populated, the value of the same field of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // is inherited. If the corresponding
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // is not populated, all fields of the
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // will be used for the explanation configuration.
   ExplanationSpec explanation_spec = 9;
 
   // The service account that the DeployedModel's container runs as. Specify the
@@ -213,10 +232,12 @@ message DeployedModel {
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 13;
 
-  // Output only. Provide paths for users to send predict/explain/health requests directly to
-  // the deployed model services running on Cloud via private services access.
-  // This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
-  PrivateEndpoints private_endpoints = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Provide paths for users to send predict/explain/health
+  // requests directly to the deployed model services running on Cloud via
+  // private services access. This field is populated if
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+  PrivateEndpoints private_endpoints = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // PrivateEndpoints proto is used to provide paths for users to send
@@ -234,8 +255,8 @@ message PrivateEndpoints {
   // Output only. Http(s) path to send health check requests.
   string health_http_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 

google/cloud/aiplatform/v1/endpoint_service.proto

@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's Endpoints.
 service EndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Endpoint.
-  rpc CreateEndpoint(CreateEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateEndpoint(CreateEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/endpoints"
       body: "endpoint"
@@ -78,7 +80,8 @@ service EndpointService {
   }
 
   // Deletes an Endpoint.
-  rpc DeleteEndpoint(DeleteEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEndpoint(DeleteEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/endpoints/*}"
     };
@@ -95,7 +98,8 @@ service EndpointService {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:deployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "DeployModelResponse"
       metadata_type: "DeployModelOperationMetadata"
@@ -104,12 +108,14 @@ service EndpointService {
 
   // Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
   // freeing all resources it's using.
-  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
+  rpc UndeployModel(UndeployModelRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:undeployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model_id,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model_id,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "UndeployModelResponse"
       metadata_type: "UndeployModelOperationMetadata"
@@ -117,7 +123,8 @@ service EndpointService {
   }
 }
 
-// Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+// Request message for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
 message CreateEndpointRequest {
   // Required. The resource name of the Location to create the Endpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -142,13 +149,15 @@ message CreateEndpointRequest {
   string endpoint_id = 4 [(google.api.field_behavior) = IMMUTABLE];
 }
 
-// Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+// Runtime operation information for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
 message CreateEndpointOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+// Request message for
+// [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
 message GetEndpointRequest {
   // Required. The name of the Endpoint resource.
   // Format:
@@ -161,10 +170,11 @@ message GetEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+// Request message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
 message ListEndpointsRequest {
-  // Required. The resource name of the Location from which to list the Endpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // Endpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -172,11 +182,12 @@ message ListEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+  //     i.e. the last segment of the Endpoint's [resource
+  //     name][google.cloud.aiplatform.v1.Endpoint.name].
   //   * `display_name` supports = and, !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -194,12 +205,15 @@ message ListEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+  // of the previous
+  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 
   // A comma-separated list of fields to order by, sorted in ascending order.
   // Use "desc" after a field name for descending.
@@ -212,26 +226,33 @@ message ListEndpointsRequest {
   string order_by = 6;
 }
 
-// Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+// Response message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
 message ListEndpointsResponse {
   // List of Endpoints in the requested page.
   repeated Endpoint endpoints = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+// Request message for
+// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
 message UpdateEndpointRequest {
   // Required. The Endpoint which replaces the resource on the server.
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+// Request message for
+// [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
 message DeleteEndpointRequest {
   // Required. The name of the Endpoint resource to be deleted.
   // Format:
@@ -244,7 +265,8 @@ message DeleteEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Request message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelRequest {
   // Required. The name of the Endpoint resource into which to deploy a Model.
   // Format:
@@ -257,8 +279,9 @@ message DeployModelRequest {
   ];
 
   // Required. The DeployedModel to be created within the Endpoint. Note that
-  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-  // receiving traffic, either as part of this call, or via
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+  // must be updated for the DeployedModel to start receiving traffic, either as
+  // part of this call, or via
   // [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
   DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -266,29 +289,34 @@ message DeployModelRequest {
   // traffic that should be forwarded to that DeployedModel.
   //
   // If this field is non-empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-  // To refer to the ID of the just being deployed Model, a "0" should be used,
-  // and the actual ID of the new DeployedModel will be filled in its place by
-  // this method. The traffic percentage values must add up to 100.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+  // overwritten with it. To refer to the ID of the just being deployed Model, a
+  // "0" should be used, and the actual ID of the new DeployedModel will be
+  // filled in its place by this method. The traffic percentage values must add
+  // up to 100.
   //
   // If this field is empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+  // updated.
   map<string, int32> traffic_split = 3;
 }
 
-// Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Response message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelResponse {
   // The DeployedModel that had been deployed in the Endpoint.
   DeployedModel deployed_model = 1;
 }
 
-// Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Runtime operation information for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+// Request message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
 message UndeployModelRequest {
   // Required. The name of the Endpoint resource from which to undeploy a Model.
   // Format:
@@ -304,21 +332,21 @@ message UndeployModelRequest {
   string deployed_model_id = 2 [(google.api.field_behavior) = REQUIRED];
 
   // If this field is provided, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-  // last DeployedModel is being undeployed from the Endpoint, the
-  // [Endpoint.traffic_split] will always end up empty when this call returns.
-  // A DeployedModel will be successfully undeployed only if it doesn't have
-  // any traffic assigned to it when this method executes, or if this field
-  // unassigns any traffic to it.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+  // overwritten with it. If last DeployedModel is being undeployed from the
+  // Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+  // call returns. A DeployedModel will be successfully undeployed only if it
+  // doesn't have any traffic assigned to it when this method executes, or if
+  // this field unassigns any traffic to it.
   map<string, int32> traffic_split = 3;
 }
 
-// Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
-message UndeployModelResponse {
-
-}
+// Response message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+message UndeployModelResponse {}
 
-// Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+// Runtime operation information for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
 message UndeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;

google/cloud/aiplatform/v1/entity_type.proto

@@ -52,12 +52,15 @@ message EntityType {
   string description = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your EntityTypes.
+  // Optional. The labels with user-defined metadata to organize your
+  // EntityTypes.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -70,17 +73,19 @@ message EntityType {
   // and are immutable.
   map<string, string> labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform a consistent read-modify-write updates. If not
+  // set, a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The default monitoring configuration for all Features with value type
-  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-  // EntityType.
+  // Optional. The default monitoring configuration for all Features with value
+  // type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+  // STRING, DOUBLE or INT64 under this EntityType.
   //
   // If this is populated with
   // [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
   // analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
   // disabled.
-  FeaturestoreMonitoringConfig monitoring_config = 8 [(google.api.field_behavior) = OPTIONAL];
+  FeaturestoreMonitoringConfig monitoring_config = 8
+      [(google.api.field_behavior) = OPTIONAL];
 }

google/cloud/aiplatform/v1/event.proto

@@ -60,7 +60,8 @@ message Event {
   ];
 
   // Output only. Time the Event occurred.
-  google.protobuf.Timestamp event_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp event_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The type of the Event.
   Type type = 4 [(google.api.field_behavior) = REQUIRED];

google/cloud/aiplatform/v1/execution.proto

@@ -87,10 +87,12 @@ message Execution {
   map<string, string> labels = 10;
 
   // Output only. Timestamp when this Execution was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Execution was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The title of the schema describing the metadata.
   //

google/cloud/aiplatform/v1/explanation.proto

@@ -28,8 +28,10 @@ option java_package = "com.google.cloud.aiplatform.v1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
 option ruby_package = "Google::Cloud::AIPlatform::V1";
 
-// Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
-// produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
+// Explanation of a prediction (provided in
+// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
+// produced by the Model on a given
+// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
 message Explanation {
   // Output only. Feature attributions grouped by predicted outputs.
   //
@@ -37,15 +39,21 @@ message Explanation {
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-  // by [instance_output_value][Attributions.instance_output_value] in
-  // descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-  // the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-  // order as they appear in the output_indices.
-  repeated Attribution attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // If users set
+  // [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+  // the attributions are sorted by
+  // [instance_output_value][Attributions.instance_output_value] in descending
+  // order. If
+  // [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+  // is specified, the attributions are stored by
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // in the same order as they appear in the output_indices.
+  repeated Attribution attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. List of the nearest neighbors for example-based explanations.
   //
@@ -56,55 +64,67 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
-  // set of instances. The attributions are grouped by outputs.
+  // Output only. Aggregated attributions explaining the Model's prediction
+  // outputs over the set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-  // [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-  // averaged over the test data.
+  // The
+  // [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+  // [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+  // and
+  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // fields are averaged over the test data.
   //
   // NOTE: Currently AutoML tabular classification Models produce only one
   // attribution, which averages attributions over all the classes it predicts.
-  // [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
-  repeated Attribution mean_attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+  // is not populated.
+  repeated Attribution mean_attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Attribution that explains a particular prediction output.
 message Attribution {
-  // Output only. Model predicted output if the input instance is constructed from the
-  // baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // Output only. Model predicted output if the input instance is constructed
+  // from the baselines of all the features defined in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
   // The field name of the output is determined by the key in
   // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
   //
   // If the Model's predicted output has multiple dimensions (rank > 1), this is
-  // the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+  // the value in the output located by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
   //
   // If there are multiple baselines, their output values are averaged.
   double baseline_output_value = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Model predicted output on the corresponding [explanation
   // instance][ExplainRequest.instances]. The field name of the output is
-  // determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+  // determined by the key in
+  // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
   //
   // If the Model predicted output has multiple dimensions, this is the value in
-  // the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+  // the output located by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
   double instance_output_value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Attributions of each explained feature. Features are extracted from
-  // the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-  // [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // Output only. Attributions of each explained feature. Features are extracted
+  // from the [prediction
+  // instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+  // to [explanation metadata for
+  // inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
   //
   // The value is a struct, whose keys are the name of the feature. The values
-  // are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-  // contributed to the predicted result.
+  // are how much the feature in the
+  // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+  // to the predicted result.
   //
   // The format of the value is determined by the feature's input format:
   //
@@ -120,11 +140,15 @@ message Attribution {
   //     struct. The formats of the values in the attribution struct are
   //     determined by the formats of the values in the feature struct.
   //
-  // The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-  // pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-  // describes the features and their attribution values (if it is populated).
-  google.protobuf.Value feature_attributions = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // The
+  // [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+  // field, pointed to by the
+  // [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // object, points to the schema file that describes the features and their
+  // attribution values (if it is populated).
+  google.protobuf.Value feature_attributions = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The index that locates the explained prediction output.
   //
@@ -135,8 +159,9 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-  // the predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+  // example, the predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -144,20 +169,26 @@ message Attribution {
   // output_index.
   string output_display_name = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-  // explanation method. Lower value means more precise attributions.
+  // Output only. Error of
+  // [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // caused by approximation used in the explanation method. Lower value means
+  // more precise attributions.
   //
   // * For Sampled Shapley
   // [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-  // increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-  // the error.
+  // increasing
+  // [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+  // might reduce the error.
   // * For Integrated Gradients
   // [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-  // reduce the error.
-  // * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
   // increasing
-  // [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+  // [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+  // might reduce the error.
+  // * For [XRAI
+  // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+  // increasing
+  // [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+  // reduce the error.
   //
   // See [this introduction](/vertex-ai/docs/explainable-ai/overview)
   // for more information.
@@ -219,13 +250,14 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-  // must be an ndarray of integers, with the same shape of the output it's
-  // explaining.
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // contained in output_indices. It must be an ndarray of integers, with the
+  // same shape of the output it's explaining.
   //
-  // If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-  // If neither top_k nor output_indices is populated, returns the argmax
-  // index of the outputs.
+  // If not populated, returns attributions for
+  // [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+  // outputs. If neither top_k nor output_indices is populated, returns the
+  // argmax index of the outputs.
   //
   // Only applicable to Models that predict multiple outputs (e,g, multi-class
   // Models that predict multiple classes).
@@ -236,8 +268,8 @@ message ExplanationParameters {
 // contribute to the label being predicted. A sampling strategy is used to
 // approximate the value rather than considering all subsets of features.
 message SampledShapleyAttribution {
-  // Required. The number of feature permutations to consider when approximating the
-  // Shapley values.
+  // Required. The number of feature permutations to consider when approximating
+  // the Shapley values.
   //
   // Valid range of its value is [1, 50], inclusively.
   int32 path_count = 1 [(google.api.field_behavior) = REQUIRED];
@@ -324,16 +356,18 @@ message SmoothGradConfig {
     // paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
     //
     // If the distribution is different per feature, set
-    // [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-    // for each feature.
+    // [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+    // instead for each feature.
     float noise_sigma = 1;
 
-    // This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-    // provides additional flexibility. A separate noise sigma can be provided
-    // for each feature, which is useful if their distributions are different.
-    // No noise is added to features that are not set. If this field is unset,
-    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-    // features.
+    // This is similar to
+    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+    // but provides additional flexibility. A separate noise sigma can be
+    // provided for each feature, which is useful if their distributions are
+    // different. No noise is added to features that are not set. If this field
+    // is unset,
+    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+    // will be used for all features.
     FeatureNoiseSigma feature_noise_sigma = 2;
   }
 
@@ -352,13 +386,14 @@ message FeatureNoiseSigma {
   message NoiseSigmaForFeature {
     // The name of the input feature for which noise sigma is provided. The
     // features are defined in
-    // [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+    // [explanation metadata
+    // inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
     string name = 1;
 
     // This represents the standard deviation of the Gaussian kernel that will
     // be used to add noise to the feature prior to computing gradients. Similar
-    // to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-    // noise added to the current feature. Defaults to 0.1.
+    // to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+    // but represents the noise added to the current feature. Defaults to 0.1.
     float sigma = 2;
   }
 
@@ -380,12 +415,13 @@ message BlurBaselineConfig {
   float max_blur_sigma = 1;
 }
 
-// The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+// The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
+// that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
 message ExplanationSpecOverride {
   // The parameters to be overridden. Note that the
-  // [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-  // no parameter is overridden.
+  // [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+  // changed. If not specified, no parameter is overridden.
   ExplanationParameters parameters = 1;
 
   // The metadata to be overridden. If not specified, no metadata is overridden.
@@ -395,11 +431,13 @@ message ExplanationSpecOverride {
   ExamplesOverride examples_override = 3;
 }
 
-// The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+// The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
+// entries that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
 message ExplanationMetadataOverride {
-  // The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
-  // overridden.
+  // The [input
+  // metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
+  // entries to be overridden.
   message InputMetadataOverride {
     // Baseline inputs for this feature.
     //
@@ -410,12 +448,14 @@ message ExplanationMetadataOverride {
     repeated google.protobuf.Value input_baselines = 1;
   }
 
-  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-  // The key is the name of the feature to be overridden. The keys specified
-  // here must exist in the input metadata to be overridden. If a feature is
-  // not specified here, the corresponding feature's input metadata is not
-  // overridden.
-  map<string, InputMetadataOverride> inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. Overrides the [input
+  // metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+  // features. The key is the name of the feature to be overridden. The keys
+  // specified here must exist in the input metadata to be overridden. If a
+  // feature is not specified here, the corresponding feature's input metadata
+  // is not overridden.
+  map<string, InputMetadataOverride> inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Overrides for example-based explanations.

google/cloud/aiplatform/v1/explanation_metadata.proto

@@ -31,8 +31,10 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 message ExplanationMetadata {
   // Metadata of the input of a feature.
   //
-  // Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-  // for Models that are using Vertex AI-provided images for Tensorflow.
+  // Fields other than
+  // [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines]
+  // are applicable only for Models that are using Vertex AI-provided images for
+  // Tensorflow.
   message InputMetadata {
     // Domain details of the input feature value. Provides numeric information
     // about the feature, such as its range (min, max). If the feature has been
@@ -63,7 +65,8 @@ message ExplanationMetadata {
     // Visualization configurations for image explanation.
     message Visualization {
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
       enum Type {
         // Should not be used.
         TYPE_UNSPECIFIED = 0;
@@ -141,7 +144,8 @@ message ExplanationMetadata {
       }
 
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
       // OUTLINES shows regions of attribution, while PIXELS shows per-pixel
       // attribution. Defaults to OUTLINES.
       Type type = 1;
@@ -153,12 +157,14 @@ message ExplanationMetadata {
       // The color scheme used for the highlighted areas.
       //
       // Defaults to PINK_GREEN for
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
       // which shows positive attributions in green and negative in pink.
       //
       // Defaults to VIRIDIS for
-      // [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-      // highlights the most influential regions in yellow and the least
+      // [XRAI
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+      // which highlights the most influential regions in yellow and the least
       // influential in blue.
       ColorMap color_map = 3;
 
@@ -188,8 +194,9 @@ message ExplanationMetadata {
       IDENTITY = 1;
 
       // The tensor represents a bag of features where each index maps to
-      // a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-      // this encoding. For example:
+      // a feature.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [27, 6.0, 150]
       // index_feature_mapping = ["age", "height", "weight"]
@@ -198,8 +205,9 @@ message ExplanationMetadata {
 
       // The tensor represents a bag of features where each index maps to a
       // feature. Zero values in the tensor indicates feature being
-      // non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-      // for this encoding. For example:
+      // non-existent.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [2, 0, 5, 0, 1]
       // index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -207,7 +215,8 @@ message ExplanationMetadata {
       BAG_OF_FEATURES_SPARSE = 3;
 
       // The tensor is a list of binaries representing whether a feature exists
-      // or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // or not (1 indicates existence).
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
       // must be provided for this encoding. For example:
       // ```
       // input = [1, 0, 1, 0, 1]
@@ -216,8 +225,9 @@ message ExplanationMetadata {
       INDICATOR = 4;
 
       // The tensor is encoded into a 1-dimensional array represented by an
-      // encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-      // for this encoding. For example:
+      // encoded tensor.
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -226,9 +236,9 @@ message ExplanationMetadata {
 
       // Select this encoding when the input tensor is encoded into a
       // 2-dimensional array represented by an encoded tensor.
-      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-      // encoding. The first dimension of the encoded tensor's shape is the same
-      // as the input tensor's shape. For example:
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. The first dimension of the encoded
+      // tensor's shape is the same as the input tensor's shape. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -244,7 +254,8 @@ message ExplanationMetadata {
     //
     // If no baseline is specified, Vertex AI chooses the baseline for this
     // feature. If multiple baselines are specified, Vertex AI returns the
-    // average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+    // average attributions across them in
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
     //
     // For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
     // of each baseline must match the shape of the input tensor. If a scalar is
@@ -252,9 +263,9 @@ message ExplanationMetadata {
     //
     // For custom images, the element of the baselines must be in the same
     // format as the feature's input in the
-    // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-    // may be specified via Endpoint's DeployedModels'
-    // [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+    // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+    // schema of any single instance may be specified via Endpoint's
+    // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
     // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
     // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
     repeated google.protobuf.Value input_baselines = 1;
@@ -287,15 +298,18 @@ message ExplanationMetadata {
     string dense_shape_tensor_name = 7;
 
     // A list of feature names for each index in the input tensor.
-    // Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-    // BAG_OF_FEATURES_SPARSE, INDICATOR.
+    // Required when the input
+    // [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+    // is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
     repeated string index_feature_mapping = 8;
 
     // Encoded tensor is a transformation of the input tensor. Must be provided
     // if choosing
-    // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-    // or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-    // input tensor is not differentiable.
+    // [Integrated Gradients
+    // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+    // or [XRAI
+    // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+    // and the input tensor is not differentiable.
     //
     // An encoded tensor is generated if the input tensor is encoded by a lookup
     // table.
@@ -315,17 +329,21 @@ message ExplanationMetadata {
     // name will be treated as one feature when computing attributions. Features
     // grouped together can have different shapes in value. If provided, there
     // will be one single attribution generated in
-    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+    // keyed by the group name.
     string group_name = 12;
   }
 
   // Metadata of the prediction output to be explained.
   message OutputMetadata {
-    // Defines how to map [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] to
+    // Defines how to map
+    // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+    // to
     // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name].
     //
     // If neither of the fields are specified,
-    // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] will not be populated.
+    // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+    // will not be populated.
     oneof display_name_mapping {
       // Static mapping between the index and display name.
       //
@@ -337,8 +355,10 @@ message ExplanationMetadata {
       //
       // The shape of the value must be an n-dimensional array of strings. The
       // number of dimensions must match that of the outputs to be explained.
-      // The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-      // mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+      // The
+      // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+      // is populated by locating in the mapping with
+      // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
       google.protobuf.Value index_display_name_mapping = 1;
 
       // Specify a field name in the prediction to look for the display name.
@@ -346,8 +366,9 @@ message ExplanationMetadata {
       // Use this if the prediction contains the display names for the outputs.
       //
       // The display names in the prediction must have the same shape of the
-      // outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-      // a specific output.
+      // outputs, so that it can be located by
+      // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+      // for a specific output.
       string display_name_mapping_key = 2;
     }
 
@@ -356,21 +377,23 @@ message ExplanationMetadata {
     string output_tensor_name = 3;
   }
 
-  // Required. Map from feature names to feature input metadata. Keys are the name of the
-  // features. Values are the specification of the feature.
+  // Required. Map from feature names to feature input metadata. Keys are the
+  // name of the features. Values are the specification of the feature.
   //
   // An empty InputMetadata is valid. It describes a text feature which has the
-  // name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-  // of the empty feature is chosen by Vertex AI.
+  // name specified as the key in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // The baseline of the empty feature is chosen by Vertex AI.
   //
   // For Vertex AI-provided Tensorflow images, the key can be any friendly
   // name of the feature. Once specified,
-  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-  // this key (if not grouped with another feature).
+  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // are keyed by this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
   // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
-  map<string, InputMetadata> inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  map<string, InputMetadata> inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Map from output names to output metadata.
   //
@@ -381,10 +404,12 @@ message ExplanationMetadata {
   // to be explained.
   //
   // Currently only one key is allowed.
-  map<string, OutputMetadata> outputs = 2 [(google.api.field_behavior) = REQUIRED];
+  map<string, OutputMetadata> outputs = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // Points to a YAML file stored on Google Cloud Storage describing the format
-  // of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+  // of the [feature
+  // attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML tabular Models always have this field populated by Vertex AI.

google/cloud/aiplatform/v1/feature.proto

@@ -41,7 +41,9 @@ message Feature {
   // A list of historical [Snapshot
   // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
   // Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-  // requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.
+  // requested by user, sorted by
+  // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
+  // descending.
   message MonitoringStatsAnomaly {
     // If the objective in the request is both
     // Import Feature Analysis and Snapshot Analysis, this objective could be
@@ -62,7 +64,8 @@ message Feature {
     Objective objective = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The stats and anomalies generated at specific timestamp.
-    FeatureStatsAnomaly feature_stats_anomaly = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    FeatureStatsAnomaly feature_stats_anomaly = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a feature.
@@ -118,10 +121,12 @@ message Feature {
   ];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your Features.
   //
@@ -140,15 +145,17 @@ message Feature {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Optional. If not set, use the monitoring_config defined for the EntityType this
-  // Feature belongs to.
-  // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-  // INT64 can enable monitoring.
+  // Optional. If not set, use the monitoring_config defined for the EntityType
+  // this Feature belongs to. Only Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+  // STRING, DOUBLE or INT64 can enable monitoring.
   //
   // If set to true, all types of data monitoring are disabled despite the
   // config on EntityType.
   bool disable_monitoring = 12 [(google.api.field_behavior) = OPTIONAL];
 
-  // Output only. The list of historical stats and anomalies with specified objectives.
-  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The list of historical stats and anomalies with specified
+  // objectives.
+  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/feature_monitoring_stats.proto

@@ -39,7 +39,8 @@ message FeatureStatsAnomaly {
   // Feature importance score, only populated when cross-feature monitoring is
   // enabled. For now only used to represent feature attribution score within
   // range [0, 1] for
-  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+  // and
   // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
   double score = 1;
 

google/cloud/aiplatform/v1/featurestore.proto

@@ -45,8 +45,8 @@ message Featurestore {
     // max_node_count are set to the same value, the cluster will be configured
     // with the fixed number of node (no auto-scaling).
     message Scaling {
-      // Required. The minimum number of nodes to scale down to. Must be greater than or
-      // equal to 1.
+      // Required. The minimum number of nodes to scale down to. Must be greater
+      // than or equal to 1.
       int32 min_node_count = 1 [(google.api.field_behavior) = REQUIRED];
 
       // The maximum number of nodes to scale up to. Must be greater than
@@ -94,16 +94,19 @@ message Featurestore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The labels with user-defined metadata to organize your Featurestore.
+  // Optional. The labels with user-defined metadata to organize your
+  // Featurestore.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -116,16 +119,17 @@ message Featurestore {
   // and are immutable.
   map<string, string> labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Config for online storage resources. The field should not co-exist with the
-  // field of `OnlineStoreReplicationConfig`. If both of it and
-  // OnlineStoreReplicationConfig are unset, the feature store will not have an
-  // online store and cannot be used for online serving.
-  OnlineServingConfig online_serving_config = 7 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. Config for online storage resources. The field should not
+  // co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+  // and OnlineStoreReplicationConfig are unset, the feature store will not have
+  // an online store and cannot be used for online serving.
+  OnlineServingConfig online_serving_config = 7
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. State of the featurestore.
   State state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Customer-managed encryption key spec for data storage. If set, both of the
-  // online and offline data storage will be secured by this key.
+  // Optional. Customer-managed encryption key spec for data storage. If set,
+  // both of the online and offline data storage will be secured by this key.
   EncryptionSpec encryption_spec = 10 [(google.api.field_behavior) = OPTIONAL];
 }

google/cloud/aiplatform/v1/featurestore_monitoring.proto

@@ -139,11 +139,15 @@ message FeaturestoreMonitoringConfig {
 
   // Threshold for numerical features of anomaly detection.
   // This is shared by all objectives of Featurestore Monitoring for numerical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+  // or INT64).
   ThresholdConfig numerical_threshold_config = 3;
 
   // Threshold for categorical features of anomaly detection.
   // This is shared by all types of Featurestore Monitoring for categorical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+  // STRING).
   ThresholdConfig categorical_threshold_config = 4;
 }

google/cloud/aiplatform/v1/featurestore_online_service.proto

@@ -35,12 +35,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for serving online feature values.
 service FeaturestoreOnlineServingService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Reads Feature values of a specific entity of an EntityType. For reading
   // feature values of multiple entities of an EntityType, please use
   // StreamingReadFeatureValues.
-  rpc ReadFeatureValues(ReadFeatureValuesRequest) returns (ReadFeatureValuesResponse) {
+  rpc ReadFeatureValues(ReadFeatureValuesRequest)
+      returns (ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:readFeatureValues"
       body: "*"
@@ -51,7 +53,8 @@ service FeaturestoreOnlineServingService {
   // Reads Feature values for multiple entities. Depending on their size, data
   // for different entities may be broken
   // up across multiple responses.
-  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest) returns (stream ReadFeatureValuesResponse) {
+  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest)
+      returns (stream ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:streamingReadFeatureValues"
       body: "*"
@@ -64,7 +67,8 @@ service FeaturestoreOnlineServingService {
   // The Feature values are merged into existing entities if any. The Feature
   // values to be written must have timestamp within the online storage
   // retention.
-  rpc WriteFeatureValues(WriteFeatureValuesRequest) returns (WriteFeatureValuesResponse) {
+  rpc WriteFeatureValues(WriteFeatureValuesRequest)
+      returns (WriteFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:writeFeatureValues"
       body: "*"
@@ -73,10 +77,12 @@ service FeaturestoreOnlineServingService {
   }
 }
 
-// Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
 message WriteFeatureValuesRequest {
-  // Required. The resource name of the EntityType for the entities being written.
-  // Value format: `projects/{project}/locations/{location}/featurestores/
+  // Required. The resource name of the EntityType for the entities being
+  // written. Value format:
+  // `projects/{project}/locations/{location}/featurestores/
   // {featurestore}/entityTypes/{entityType}`. For example,
   // for a machine learning model predicting user clicks on a website, an
   // EntityType ID could be `user`.
@@ -87,9 +93,10 @@ message WriteFeatureValuesRequest {
     }
   ];
 
-  // Required. The entities to be written. Up to 100,000 feature values can be written
-  // across all `payloads`.
-  repeated WriteFeatureValuesPayload payloads = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The entities to be written. Up to 100,000 feature values can be
+  // written across all `payloads`.
+  repeated WriteFeatureValuesPayload payloads = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Contains Feature values to be written for a specific entity.
@@ -97,19 +104,20 @@ message WriteFeatureValuesPayload {
   // Required. The ID of the entity.
   string entity_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Feature values to be written, mapping from Feature ID to value. Up to
-  // 100,000 `feature_values` entries may be written across all payloads.  The
-  // feature generation time, aligned by days, must be no older than five
+  // Required. Feature values to be written, mapping from Feature ID to value.
+  // Up to 100,000 `feature_values` entries may be written across all payloads.
+  // The feature generation time, aligned by days, must be no older than five
   // years (1825 days) and no later than one year (366 days) in the future.
-  map<string, FeatureValue> feature_values = 2 [(google.api.field_behavior) = REQUIRED];
+  map<string, FeatureValue> feature_values = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
-message WriteFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+message WriteFeatureValuesResponse {}
 
-// Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesRequest {
   // Required. The resource name of the EntityType for the entity being read.
   // Value format:
@@ -132,7 +140,8 @@ message ReadFeatureValuesRequest {
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Response message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesResponse {
   // Metadata for requested Features.
   message FeatureDescriptor {
@@ -141,14 +150,16 @@ message ReadFeatureValuesResponse {
   }
 
   // Response header with metadata for the requested
-  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.
+  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
+  // and Features.
   message Header {
     // The resource name of the EntityType from the
-    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+    // Value format:
     // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
     string entity_type = 1 [(google.api.resource_reference) = {
-                              type: "aiplatform.googleapis.com/EntityType"
-                            }];
+      type: "aiplatform.googleapis.com/EntityType"
+    }];
 
     // List of Feature metadata corresponding to each piece of
     // [ReadFeatureValuesResponse.data][].
@@ -179,7 +190,8 @@ message ReadFeatureValuesResponse {
     // requested values for one requested Feature. If no values
     // for the requested Feature exist, the corresponding cell will be empty.
     // This has the same size and is in the same order as the features from the
-    // header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+    // header
+    // [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
     repeated Data data = 2;
   }
 
@@ -209,13 +221,13 @@ message StreamingReadFeatureValuesRequest {
     }
   ];
 
-  // Required. IDs of entities to read Feature values of. The maximum number of IDs is
-  // 100. For example, for a machine learning model predicting user clicks on a
-  // website, an entity ID could be `user_123`.
+  // Required. IDs of entities to read Feature values of. The maximum number of
+  // IDs is 100. For example, for a machine learning model predicting user
+  // clicks on a website, an entity ID could be `user_123`.
   repeated string entity_ids = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Selector choosing Features of the target EntityType. Feature IDs will be
-  // deduplicated.
+  // Required. Selector choosing Features of the target EntityType. Feature IDs
+  // will be deduplicated.
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1/featurestore_service.proto

@@ -41,16 +41,19 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // The service that handles CRUD and List for resources for Featurestore.
 service FeaturestoreService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a new Featurestore in a given project and location.
-  rpc CreateFeaturestore(CreateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeaturestore(CreateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/featurestores"
       body: "featurestore"
     };
     option (google.api.method_signature) = "parent,featurestore";
-    option (google.api.method_signature) = "parent,featurestore,featurestore_id";
+    option (google.api.method_signature) =
+        "parent,featurestore,featurestore_id";
     option (google.longrunning.operation_info) = {
       response_type: "Featurestore"
       metadata_type: "CreateFeaturestoreOperationMetadata"
@@ -66,7 +69,8 @@ service FeaturestoreService {
   }
 
   // Lists Featurestores in a given project and location.
-  rpc ListFeaturestores(ListFeaturestoresRequest) returns (ListFeaturestoresResponse) {
+  rpc ListFeaturestores(ListFeaturestoresRequest)
+      returns (ListFeaturestoresResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/featurestores"
     };
@@ -74,7 +78,8 @@ service FeaturestoreService {
   }
 
   // Updates the parameters of a single Featurestore.
-  rpc UpdateFeaturestore(UpdateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc UpdateFeaturestore(UpdateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{featurestore.name=projects/*/locations/*/featurestores/*}"
       body: "featurestore"
@@ -88,7 +93,8 @@ service FeaturestoreService {
 
   // Deletes a single Featurestore. The Featurestore must not contain any
   // EntityTypes or `force` must be set to true for the request to succeed.
-  rpc DeleteFeaturestore(DeleteFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeaturestore(DeleteFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*}"
     };
@@ -101,7 +107,8 @@ service FeaturestoreService {
   }
 
   // Creates a new EntityType in a given Featurestore.
-  rpc CreateEntityType(CreateEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc CreateEntityType(CreateEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
       body: "entity_type"
@@ -123,7 +130,8 @@ service FeaturestoreService {
   }
 
   // Lists EntityTypes in a given Featurestore.
-  rpc ListEntityTypes(ListEntityTypesRequest) returns (ListEntityTypesResponse) {
+  rpc ListEntityTypes(ListEntityTypesRequest)
+      returns (ListEntityTypesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
     };
@@ -141,7 +149,8 @@ service FeaturestoreService {
 
   // Deletes a single EntityType. The EntityType must not have any Features
   // or `force` must be set to true for the request to succeed.
-  rpc DeleteEntityType(DeleteEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEntityType(DeleteEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}"
     };
@@ -154,7 +163,8 @@ service FeaturestoreService {
   }
 
   // Creates a new Feature in a given EntityType.
-  rpc CreateFeature(CreateFeatureRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeature(CreateFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features"
       body: "feature"
@@ -168,7 +178,8 @@ service FeaturestoreService {
   }
 
   // Creates a batch of Features in a given EntityType.
-  rpc BatchCreateFeatures(BatchCreateFeaturesRequest) returns (google.longrunning.Operation) {
+  rpc BatchCreateFeatures(BatchCreateFeaturesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features:batchCreate"
       body: "*"
@@ -206,7 +217,8 @@ service FeaturestoreService {
   }
 
   // Deletes a single Feature.
-  rpc DeleteFeature(DeleteFeatureRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeature(DeleteFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}"
     };
@@ -237,7 +249,8 @@ service FeaturestoreService {
   //  include but are not limited to changing storage location, storage class,
   //  or retention policy.
   //  - Online serving cluster is under-provisioned.
-  rpc ImportFeatureValues(ImportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ImportFeatureValues(ImportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:importFeatureValues"
       body: "*"
@@ -255,7 +268,8 @@ service FeaturestoreService {
   // instance in the batch may read Feature values of entities from one or
   // more EntityTypes. Point-in-time correctness is guaranteed for Feature
   // values of each read instance as of each instance's read timestamp.
-  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{featurestore=projects/*/locations/*/featurestores/*}:batchReadFeatureValues"
       body: "*"
@@ -268,7 +282,8 @@ service FeaturestoreService {
   }
 
   // Exports Feature values from all the entities of a target EntityType.
-  rpc ExportFeatureValues(ExportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ExportFeatureValues(ExportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:exportFeatureValues"
       body: "*"
@@ -290,7 +305,8 @@ service FeaturestoreService {
   }
 }
 
-// Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
+// Request message for
+// [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
 message CreateFeaturestoreRequest {
   // Required. The resource name of the Location to create Featurestores.
   // Format:
@@ -305,8 +321,8 @@ message CreateFeaturestoreRequest {
   // Required. The Featurestore to create.
   Featurestore featurestore = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for this Featurestore, which will become the final component
-  // of the Featurestore's resource name.
+  // Required. The ID to use for this Featurestore, which will become the final
+  // component of the Featurestore's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -315,7 +331,8 @@ message CreateFeaturestoreRequest {
   string featurestore_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
+// Request message for
+// [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
 message GetFeaturestoreRequest {
   // Required. The name of the Featurestore resource.
   string name = 1 [
@@ -326,7 +343,8 @@ message GetFeaturestoreRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+// Request message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresRequest {
   // Required. The resource name of the Location to list Featurestores.
   // Format:
@@ -366,12 +384,12 @@ message ListFeaturestoresRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -387,22 +405,24 @@ message ListFeaturestoresRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+// Response message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresResponse {
   // The Featurestores matching the request.
   repeated Featurestore featurestores = 1;
 
-  // A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
+// Request message for
+// [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
 message UpdateFeaturestoreRequest {
-  // Required. The Featurestore's `name` field is used to identify the Featurestore to be
-  // updated.
-  // Format:
+  // Required. The Featurestore's `name` field is used to identify the
+  // Featurestore to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   Featurestore featurestore = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -419,10 +439,12 @@ message UpdateFeaturestoreRequest {
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
   //   * `online_serving_config.scaling`
+  //   * `online_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
+// Request message for
+// [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
 message DeleteFeaturestoreRequest {
   // Required. The name of the Featurestore to be deleted.
   // Format:
@@ -440,12 +462,13 @@ message DeleteFeaturestoreRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+// Request message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesRequest {
   // Defines the Feature value(s) to import.
   message FeatureSpec {
-    // Required. ID of the Feature to import values of. This Feature must exist in the
-    // target EntityType, or the request will fail.
+    // Required. ID of the Feature to import values of. This Feature must exist
+    // in the target EntityType, or the request will fail.
     string id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Source column to get the Feature values from. If not set, uses the column
@@ -475,8 +498,8 @@ message ImportFeatureValuesRequest {
     google.protobuf.Timestamp feature_time = 7;
   }
 
-  // Required. The resource name of the EntityType grouping the Features for which values
-  // are being imported. Format:
+  // Required. The resource name of the EntityType grouping the Features for
+  // which values are being imported. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -489,10 +512,11 @@ message ImportFeatureValuesRequest {
   // extracted from the column named `entity_id`.
   string entity_id_field = 5;
 
-  // Required. Specifications defining which Feature values to import from the entity. The
-  // request fails if no feature_specs are provided, and having multiple
-  // feature_specs for one Feature is not allowed.
-  repeated FeatureSpec feature_specs = 8 [(google.api.field_behavior) = REQUIRED];
+  // Required. Specifications defining which Feature values to import from the
+  // entity. The request fails if no feature_specs are provided, and having
+  // multiple feature_specs for one Feature is not allowed.
+  repeated FeatureSpec feature_specs = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // If set, data will not be imported for online serving. This
   // is typically used for backfilling, where Feature generation timestamps are
@@ -511,7 +535,8 @@ message ImportFeatureValuesRequest {
   bool disable_ingestion_analysis = 12;
 }
 
-// Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+// Response message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesResponse {
   // Number of entities that have been imported by the operation.
   int64 imported_entity_count = 1;
@@ -531,25 +556,30 @@ message ImportFeatureValuesResponse {
   int64 timestamp_outside_retention_rows_count = 4;
 }
 
-// Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+// Request message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
 message BatchReadFeatureValuesRequest {
   // Describe pass-through fields in read_instance source.
   message PassThroughField {
-    // Required. The name of the field in the CSV header or the name of the column in
-    // BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+    // Required. The name of the field in the CSV header or the name of the
+    // column in BigQuery table. The naming restriction is the same as
+    // [Feature.name][google.cloud.aiplatform.v1.Feature.name].
     string field_name = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Selects Features of an EntityType to read values of and specifies read
   // settings.
   message EntityTypeSpec {
-    // Required. ID of the EntityType to select Features. The EntityType id is the
-    // [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-    // during EntityType creation.
+    // Required. ID of the EntityType to select Features. The EntityType id is
+    // the
+    // [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+    // specified during EntityType creation.
     string entity_type_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-    // Required. Selectors choosing which Feature values to read from the EntityType.
-    FeatureSelector feature_selector = 2 [(google.api.field_behavior) = REQUIRED];
+    // Required. Selectors choosing which Feature values to read from the
+    // EntityType.
+    FeatureSelector feature_selector = 2
+        [(google.api.field_behavior) = REQUIRED];
 
     // Per-Feature settings for the batch read.
     repeated DestinationFeatureSetting settings = 3;
@@ -586,8 +616,8 @@ message BatchReadFeatureValuesRequest {
     BigQuerySource bigquery_read_instances = 5;
   }
 
-  // Required. The resource name of the Featurestore from which to query Feature values.
-  // Format:
+  // Required. The resource name of the Featurestore from which to query Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   string featurestore = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -597,7 +627,8 @@ message BatchReadFeatureValuesRequest {
   ];
 
   // Required. Specifies output location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // When not empty, the specified fields in the *_read_instances source will be
   // joined as-is in the output, in addition to those fields from the
@@ -608,20 +639,23 @@ message BatchReadFeatureValuesRequest {
   // passed as opaque bytes.
   repeated PassThroughField pass_through_fields = 8;
 
-  // Required. Specifies EntityType grouping Features to read values of and settings.
-  // Each EntityType referenced in
+  // Required. Specifies EntityType grouping Features to read values of and
+  // settings. Each EntityType referenced in
   // [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
   // specifying entity IDs in the EntityType in
   // [BatchReadFeatureValuesRequest.request][] .
-  repeated EntityTypeSpec entity_type_specs = 7 [(google.api.field_behavior) = REQUIRED];
+  repeated EntityTypeSpec entity_type_specs = 7
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Excludes Feature values with feature generation timestamp before this
-  // timestamp. If not set, retrieve oldest values kept in Feature Store.
+  // Optional. Excludes Feature values with feature generation timestamp before
+  // this timestamp. If not set, retrieve oldest values kept in Feature Store.
   // Timestamp, if present, must not have higher than millisecond precision.
-  google.protobuf.Timestamp start_time = 11 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.Timestamp start_time = 11
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+// Request message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
 message ExportFeatureValuesRequest {
   // Describes exporting the latest Feature values of all entities of the
   // EntityType between [start_time, snapshot_time].
@@ -662,8 +696,8 @@ message ExportFeatureValuesRequest {
     FullExport full_export = 7;
   }
 
-  // Required. The resource name of the EntityType from which to export Feature values.
-  // Format:
+  // Required. The resource name of the EntityType from which to export Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -673,7 +707,8 @@ message ExportFeatureValuesRequest {
   ];
 
   // Required. Specifies destination location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Selects Features to export values of.
   FeatureSelector feature_selector = 5 [(google.api.field_behavior) = REQUIRED];
@@ -695,8 +730,10 @@ message DestinationFeatureSetting {
 message FeatureValueDestination {
   oneof destination {
     // Output in BigQuery format.
-    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+    // in
+    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+    // must refer to a table.
     BigQueryDestination bigquery_destination = 1;
 
     // Output in TFRecord format.
@@ -718,17 +755,16 @@ message FeatureValueDestination {
   }
 }
 
-// Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
-message ExportFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+message ExportFeatureValuesResponse {}
 
-// Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
-message BatchReadFeatureValuesResponse {
+// Response message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+message BatchReadFeatureValuesResponse {}
 
-}
-
-// Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
+// Request message for
+// [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
 message CreateEntityTypeRequest {
   // Required. The resource name of the Featurestore to create EntityTypes.
   // Format:
@@ -743,8 +779,8 @@ message CreateEntityTypeRequest {
   // The EntityType to create.
   EntityType entity_type = 2;
 
-  // Required. The ID to use for the EntityType, which will become the final component of
-  // the EntityType's resource name.
+  // Required. The ID to use for the EntityType, which will become the final
+  // component of the EntityType's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -753,7 +789,8 @@ message CreateEntityTypeRequest {
   string entity_type_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
+// Request message for
+// [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
 message GetEntityTypeRequest {
   // Required. The name of the EntityType resource.
   // Format:
@@ -766,7 +803,8 @@ message GetEntityTypeRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+// Request message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesRequest {
   // Required. The resource name of the Featurestore to list EntityTypes.
   // Format:
@@ -805,12 +843,12 @@ message ListEntityTypesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -827,22 +865,24 @@ message ListEntityTypesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+// Response message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesResponse {
   // The EntityTypes matching the request.
   repeated EntityType entity_types = 1;
 
-  // A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
+// Request message for
+// [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
 message UpdateEntityTypeRequest {
-  // Required. The EntityType's `name` field is used to identify the EntityType to be
-  // updated.
-  // Format:
+  // Required. The EntityType's `name` field is used to identify the EntityType
+  // to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   EntityType entity_type = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -865,6 +905,7 @@ message UpdateEntityTypeRequest {
   //   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
   //   * `monitoring_config.numerical_threshold_config.value`
   //   * `monitoring_config.categorical_threshold_config.value`
+  //   * `offline_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
@@ -885,7 +926,8 @@ message DeleteEntityTypeRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
+// Request message for
+// [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
 message CreateFeatureRequest {
   // Required. The resource name of the EntityType to create a Feature.
   // Format:
@@ -900,8 +942,8 @@ message CreateFeatureRequest {
   // Required. The Feature to create.
   Feature feature = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Feature, which will become the final component of
-  // the Feature's resource name.
+  // Required. The ID to use for the Feature, which will become the final
+  // component of the Feature's resource name.
   //
   // This value may be up to 128 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -910,10 +952,11 @@ message CreateFeatureRequest {
   string feature_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+// Request message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesRequest {
-  // Required. The resource name of the EntityType to create the batch of Features under.
-  // Format:
+  // Required. The resource name of the EntityType to create the batch of
+  // Features under. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -922,20 +965,24 @@ message BatchCreateFeaturesRequest {
     }
   ];
 
-  // Required. The request message specifying the Features to create. All Features must be
-  // created under the same parent EntityType. The `parent` field in each child
-  // request message can be omitted. If `parent` is set in a child request, then
-  // the value must match the `parent` value in this request message.
-  repeated CreateFeatureRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the Features to create. All
+  // Features must be created under the same parent EntityType. The `parent`
+  // field in each child request message can be omitted. If `parent` is set in a
+  // child request, then the value must match the `parent` value in this request
+  // message.
+  repeated CreateFeatureRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+// Response message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesResponse {
   // The Features created.
   repeated Feature features = 1;
 }
 
-// Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
+// Request message for
+// [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
 message GetFeatureRequest {
   // Required. The name of the Feature resource.
   // Format:
@@ -948,7 +995,8 @@ message GetFeatureRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+// Request message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
 message ListFeaturesRequest {
   // Required. The resource name of the Location to list Features.
   // Format:
@@ -989,12 +1037,12 @@ message ListFeaturesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -1010,25 +1058,30 @@ message ListFeaturesRequest {
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 6;
 
-  // If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+  // If set, return the most recent
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
   // of stats for each Feature in response. Valid value is [0, 10]. If number of
-  // stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-  // existing stats.
+  // stats exists <
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+  // return all existing stats.
   int32 latest_stats_count = 7;
 }
 
-// Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+// Response message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
 message ListFeaturesResponse {
   // The Features matching the request.
   repeated Feature features = 1;
 
-  // A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+// Request message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesRequest {
   // Required. The resource name of the Location to search Features.
   // Format:
@@ -1108,16 +1161,17 @@ message SearchFeaturesRequest {
   int32 page_size = 4;
 
   // A page token, received from a previous
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-  // match the call that provided the page token.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+  // except `page_size`, must match the call that provided the page token.
   string page_token = 5;
 }
 
-// Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+// Response message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesResponse {
   // The Features matching the request.
   //
@@ -1130,13 +1184,15 @@ message SearchFeaturesResponse {
   //  * `update_time`
   repeated Feature features = 1;
 
-  // A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
+// Request message for
+// [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
 message UpdateFeatureRequest {
   // Required. The Feature's `name` field is used to identify the Feature to be
   // updated.
@@ -1160,7 +1216,8 @@ message UpdateFeatureRequest {
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
+// Request message for
+// [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
 message DeleteFeatureRequest {
   // Required. The name of the Features to be deleted.
   // Format:

google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto

@@ -66,8 +66,8 @@ message HyperparameterTuningJob {
   // before the whole job fails.
   int32 max_failed_trial_count = 7;
 
-  // Required. The spec of a trial job. The same spec applies to the CustomJobs created
-  // in all the trials.
+  // Required. The spec of a trial job. The same spec applies to the CustomJobs
+  // created in all the trials.
   CustomJobSpec trial_job_spec = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Trials of the HyperparameterTuningJob.
@@ -77,18 +77,24 @@ message HyperparameterTuningJob {
   JobState state = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the HyperparameterTuningJob was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob for the first time
+  // entered the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob entered any of the
+  // following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+  // `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob was most recently
+  // updated.
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is JOB_STATE_FAILED or
   // JOB_STATE_CANCELLED.

google/cloud/aiplatform/v1/index.proto

@@ -64,10 +64,10 @@ message Index {
   // The description of the Index.
   string description = 3;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Index, that is specific to it. Unset if the Index
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Index, that is specific to it. Unset if
+  // the Index does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -75,13 +75,15 @@ message Index {
   string metadata_schema_uri = 4 [(google.api.field_behavior) = IMMUTABLE];
 
   // An additional information about the Index; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+  // be found in
+  // [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
   google.protobuf.Value metadata = 6;
 
   // Output only. The pointers to DeployedIndexes created from this Index.
   // An Index can be only deleted if all its DeployedIndexes had been undeployed
   // first.
-  repeated DeployedIndexRef deployed_indexes = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndexRef deployed_indexes = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -97,24 +99,27 @@ message Index {
   map<string, string> labels = 9;
 
   // Output only. Timestamp when this Index was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Index was most recently updated.
   // This also includes any update to the contents of the Index.
   // Note that Operations working on this Index may have their
   // [Operations.metadata.generic_metadata.update_time]
-  // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-  // timestamp, yet that does not mean their results are not already reflected
-  // in the Index. Result of any successfully completed Operation on the Index
-  // is reflected in it.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+  // after the value of this timestamp, yet that does not mean their results are
+  // not already reflected in the Index. Result of any successfully completed
+  // Operation on the Index is reflected in it.
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Stats of the index resource.
   IndexStats index_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-  // used by default.
-  IndexUpdateMethod index_update_method = 16 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. The update method to use with this Index. If not set,
+  // BATCH_UPDATE will be used by default.
+  IndexUpdateMethod index_update_method = 16
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A datapoint of Index.
@@ -151,14 +156,14 @@ message IndexDatapoint {
   // [NearestNeighborSearchConfig.dimensions].
   repeated float feature_vector = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-  // where boolean rule are used to filter the subset of the database eligible
-  // for matching.
-  // See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+  // Optional. List of Restrict of the datapoint, used to perform "restricted
+  // searches" where boolean rule are used to filter the subset of the database
+  // eligible for matching. See:
+  // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
   repeated Restriction restricts = 4 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-  // crowding can be configured during query.
+  // Optional. CrowdingTag of the datapoint, the number of neighbors to return
+  // in each crowding can be configured during query.
   CrowdingTag crowding_tag = 5 [(google.api.field_behavior) = OPTIONAL];
 }
 

google/cloud/aiplatform/v1/index_endpoint.proto

@@ -49,7 +49,8 @@ message IndexEndpoint {
   string description = 3;
 
   // Output only. The indexes deployed in this endpoint.
-  repeated DeployedIndex deployed_indexes = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndex deployed_indexes = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -65,13 +66,15 @@ message IndexEndpoint {
   map<string, string> labels = 6;
 
   // Output only. Timestamp when this IndexEndpoint was created.
-  google.protobuf.Timestamp create_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this IndexEndpoint was last updated.
   // This timestamp is not updated when the endpoint's DeployedIndexes are
   // updated, e.g. due to updates of the original Indexes they are the
   // deployments of.
-  google.protobuf.Timestamp update_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The full name of the Google Compute Engine
   // [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks)
@@ -90,15 +93,15 @@ message IndexEndpoint {
   // network name.
   string network = 9 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
+  // Optional. Deprecated: If true, expose the IndexEndpoint via private service
+  // connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
   // can be set.
-  bool enable_private_service_connect = 10 [
-    deprecated = true,
-    (google.api.field_behavior) = OPTIONAL
-  ];
+  bool enable_private_service_connect = 10
+      [deprecated = true, (google.api.field_behavior) = OPTIONAL];
 }
 
 // A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
@@ -123,18 +126,22 @@ message DeployedIndex {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedIndex was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Provides paths for users to send requests directly to the deployed index
-  // services running on Cloud via private services access. This field is
-  // populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
-  IndexPrivateEndpoints private_endpoints = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. The DeployedIndex may depend on various data on its original Index.
-  // Additionally when certain changes to the original Index are being done
-  // (e.g. when what the Index contains is being changed) the DeployedIndex may
-  // be asynchronously updated in the background to reflect this changes.
-  // If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Provides paths for users to send requests directly to the
+  // deployed index services running on Cloud via private services access. This
+  // field is populated if
+  // [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+  IndexPrivateEndpoints private_endpoints = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The DeployedIndex may depend on various data on its original
+  // Index. Additionally when certain changes to the original Index are being
+  // done (e.g. when what the Index contains is being changed) the DeployedIndex
+  // may be asynchronously updated in the background to reflect this changes. If
+  // this timestamp's value is at least the
+  // [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
   // original Index, it means that this DeployedIndex and the original Index are
   // in sync. If this timestamp is older, then to see which updates this
   // DeployedIndex already contains (and which not), one must
@@ -144,30 +151,41 @@ message DeployedIndex {
   // [Operations.metadata.generic_metadata.update_time]
   // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
   // equal or before this sync time are contained in this DeployedIndex.
-  google.protobuf.Timestamp index_sync_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp index_sync_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. A description of resources that the DeployedIndex uses, which to large
-  // degree are decided by Vertex AI, and optionally allows only a modest
+  // Optional. A description of resources that the DeployedIndex uses, which to
+  // large degree are decided by Vertex AI, and optionally allows only a modest
   // additional configuration.
   // If min_replica_count is not set, the default value is 2 (we don't provide
   // SLA when min_replica_count=1). If max_replica_count is not set, the
   // default value is min_replica_count. The max allowed replica count is
   // 1000.
-  AutomaticResources automatic_resources = 7 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. A description of resources that are dedicated to the DeployedIndex, and
-  // that need a higher degree of manual configuration.
-  // If min_replica_count is not set, the default value is 2 (we don't provide
-  // SLA when min_replica_count=1). If max_replica_count is not set, the
-  // default value is min_replica_count. The max allowed replica count is
-  // 1000.
+  AutomaticResources automatic_resources = 7
+      [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. A description of resources that are dedicated to the
+  // DeployedIndex, and that need a higher degree of manual configuration. If
+  // min_replica_count is not set, the default value is 2 (we don't provide SLA
+  // when min_replica_count=1). If max_replica_count is not set, the default
+  // value is min_replica_count. The max allowed replica count is 1000.
+  //
+  // Available machine types for SMALL shard:
+  // e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+  //
+  // Available machine types for MEDIUM shard:
+  // e2-standard-16 and all machine types available for LARGE shard.
+  //
+  // Available machine types for LARGE shard:
+  // e2-standard-32, e2-highmem-16, n2d-standard-32.
   //
-  // Available machine types:
-  // n1-standard-16
-  // n1-standard-32
-  DedicatedResources dedicated_resources = 16 [(google.api.field_behavior) = OPTIONAL];
+  // n1-standard-16 and n1-standard-32 are still available, but we recommend
+  // e2-standard-16 and e2-standard-32 for cost efficiency.
+  DedicatedResources dedicated_resources = 16
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+  // Optional. If true, private endpoint's access logs are sent to StackDriver
+  // Logging.
   //
   // These logs are like standard server access logs, containing
   // information like timestamp and latency for each MatchRequest.
@@ -178,7 +196,8 @@ message DeployedIndex {
   bool enable_access_logging = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. If set, the authentication is enabled for the private endpoint.
-  DeployedIndexAuthConfig deployed_index_auth_config = 9 [(google.api.field_behavior) = OPTIONAL];
+  DeployedIndexAuthConfig deployed_index_auth_config = 9
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. A list of reserved ip ranges under the VPC network that can be
   // used for this DeployedIndex.
@@ -190,7 +209,8 @@ message DeployedIndex {
   // The value sohuld be the name of the address
   // (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
   // Example: 'vertex-ai-ip-range'.
-  repeated string reserved_ip_ranges = 10 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 10
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The deployment group can be no longer than 64 characters (eg:
   // 'test', 'prod'). If not set, we will use the 'default' deployment group.
@@ -239,7 +259,7 @@ message IndexPrivateEndpoints {
   // Output only. The ip address used to send match gRPC requests.
   string match_grpc_address = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/index_endpoint_service.proto

@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's IndexEndpoints.
 service IndexEndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an IndexEndpoint.
-  rpc CreateIndexEndpoint(CreateIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateIndexEndpoint(CreateIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/indexEndpoints"
       body: "index_endpoint"
@@ -60,7 +62,8 @@ service IndexEndpointService {
   }
 
   // Lists IndexEndpoints in a Location.
-  rpc ListIndexEndpoints(ListIndexEndpointsRequest) returns (ListIndexEndpointsResponse) {
+  rpc ListIndexEndpoints(ListIndexEndpointsRequest)
+      returns (ListIndexEndpointsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/indexEndpoints"
     };
@@ -77,7 +80,8 @@ service IndexEndpointService {
   }
 
   // Deletes an IndexEndpoint.
-  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/indexEndpoints/*}"
     };
@@ -105,7 +109,8 @@ service IndexEndpointService {
 
   // Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
   // and freeing all resources it's using.
-  rpc UndeployIndex(UndeployIndexRequest) returns (google.longrunning.Operation) {
+  rpc UndeployIndex(UndeployIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:undeployIndex"
       body: "*"
@@ -118,7 +123,8 @@ service IndexEndpointService {
   }
 
   // Update an existing DeployedIndex under an IndexEndpoint.
-  rpc MutateDeployedIndex(MutateDeployedIndexRequest) returns (google.longrunning.Operation) {
+  rpc MutateDeployedIndex(MutateDeployedIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:mutateDeployedIndex"
       body: "deployed_index"
@@ -131,7 +137,8 @@ service IndexEndpointService {
   }
 }
 
-// Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
 message CreateIndexEndpointRequest {
   // Required. The resource name of the Location to create the IndexEndpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -153,7 +160,8 @@ message CreateIndexEndpointOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
+// Request message for
+// [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
 message GetIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource.
   // Format:
@@ -166,10 +174,11 @@ message GetIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+// Request message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsRequest {
-  // Required. The resource name of the Location from which to list the IndexEndpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // IndexEndpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -177,8 +186,8 @@ message ListIndexEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `index_endpoint` supports = and !=. `index_endpoint` represents the
   //      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
@@ -202,34 +211,44 @@ message ListIndexEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+  // of the previous
+  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+// Response message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsResponse {
   // List of IndexEndpoints in the requested page.
   repeated IndexEndpoint index_endpoints = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
 message UpdateIndexEndpointRequest {
   // Required. The IndexEndpoint which replaces the resource on the server.
   IndexEndpoint index_endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
+// Request message for
+// [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
 message DeleteIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource to be deleted.
   // Format:
@@ -242,10 +261,11 @@ message DeleteIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Request message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -258,13 +278,15 @@ message DeployIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Response message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexResponse {
   // The DeployedIndex that had been deployed in the IndexEndpoint.
   DeployedIndex deployed_index = 1;
 }
 
-// Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
@@ -273,10 +295,11 @@ message DeployIndexOperationMetadata {
   string deployed_index_id = 2;
 }
 
-// Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+// Request message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
 message UndeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource from which to undeploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -285,25 +308,27 @@ message UndeployIndexRequest {
     }
   ];
 
-  // Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+  // Required. The ID of the DeployedIndex to be undeployed from the
+  // IndexEndpoint.
   string deployed_index_id = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
-message UndeployIndexResponse {
+// Response message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+message UndeployIndexResponse {}
 
-}
-
-// Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
 message UndeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+// Request message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -318,7 +343,8 @@ message MutateDeployedIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+// Response message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexResponse {
   // The DeployedIndex that had been updated in the IndexEndpoint.
   DeployedIndex deployed_index = 1;

google/cloud/aiplatform/v1/index_service.proto

@@ -36,7 +36,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for creating and managing Vertex AI's Index resources.
 service IndexService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Index.
   rpc CreateIndex(CreateIndexRequest) returns (google.longrunning.Operation) {
@@ -82,7 +83,8 @@ service IndexService {
 
   // Deletes an Index.
   // An Index can only be deleted when all its
-  // [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+  // [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+  // been undeployed.
   rpc DeleteIndex(DeleteIndexRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/indexes/*}"
@@ -95,7 +97,8 @@ service IndexService {
   }
 
   // Add/update Datapoints into an Index.
-  rpc UpsertDatapoints(UpsertDatapointsRequest) returns (UpsertDatapointsResponse) {
+  rpc UpsertDatapoints(UpsertDatapointsRequest)
+      returns (UpsertDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1/{index=projects/*/locations/*/indexes/*}:upsertDatapoints"
       body: "*"
@@ -103,7 +106,8 @@ service IndexService {
   }
 
   // Remove Datapoints from an Index.
-  rpc RemoveDatapoints(RemoveDatapointsRequest) returns (RemoveDatapointsResponse) {
+  rpc RemoveDatapoints(RemoveDatapointsRequest)
+      returns (RemoveDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1/{index=projects/*/locations/*/indexes/*}:removeDatapoints"
       body: "*"
@@ -111,7 +115,8 @@ service IndexService {
   }
 }
 
-// Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+// Request message for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
 message CreateIndexRequest {
   // Required. The resource name of the Location to create the Index in.
   // Format: `projects/{project}/locations/{location}`
@@ -126,16 +131,19 @@ message CreateIndexRequest {
   Index index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+// Runtime operation information for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
 message CreateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
+// Request message for
+// [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
 message GetIndexRequest {
   // Required. The name of the Index resource.
   // Format:
@@ -148,7 +156,8 @@ message GetIndexRequest {
   ];
 }
 
-// Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+// Request message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
 message ListIndexesRequest {
   // Required. The resource name of the Location from which to list the Indexes.
   // Format: `projects/{project}/locations/{location}`
@@ -167,44 +176,54 @@ message ListIndexesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-  // [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+  // of the previous
+  // [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+// Response message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
 message ListIndexesResponse {
   // List of indexes in the requested page.
   repeated Index indexes = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+// Request message for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
 message UpdateIndexRequest {
   // Required. The Index which updates the resource on the server.
   Index index = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+// Runtime operation information for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
 message UpdateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
+// Request message for
+// [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
 message DeleteIndexRequest {
   // Required. The name of the Index resource to be deleted.
   // Format:
@@ -217,7 +236,8 @@ message DeleteIndexRequest {
   ];
 }
 
-// Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+// Request message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
 message UpsertDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -233,12 +253,12 @@ message UpsertDatapointsRequest {
   repeated IndexDatapoint datapoints = 2;
 }
 
-// Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
-message UpsertDatapointsResponse {
+// Response message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+message UpsertDatapointsResponse {}
 
-}
-
-// Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+// Request message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
 message RemoveDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -254,10 +274,9 @@ message RemoveDatapointsRequest {
   repeated string datapoint_ids = 2;
 }
 
-// Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
-message RemoveDatapointsResponse {
-
-}
+// Response message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+message RemoveDatapointsResponse {}
 
 // Runtime operation metadata with regard to Matching Engine Index.
 message NearestNeighborSearchOperationMetadata {
@@ -325,7 +344,8 @@ message NearestNeighborSearchOperationMetadata {
 
   // The validation stats of the content (per file) to be inserted or
   // updated on the Matching Engine Index resource. Populated if
-  // contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+  // contentsDeltaUri is provided as part of
+  // [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
   // that, currently for those files that are broken or has unsupported file
   // format, we will not have the stats for those files.
   repeated ContentValidationStats content_validation_stats = 1;

google/cloud/aiplatform/v1/io.proto

@@ -48,7 +48,8 @@ message GcsSource {
 
 // The Google Cloud Storage location where the output is to be written to.
 message GcsDestination {
-  // Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+  // Required. Google Cloud Storage URI to output directory. If the uri doesn't
+  // end with
   // '/', a '/' will be automatically appended. The directory is created if it
   // doesn't exist.
   string output_uri_prefix = 1 [(google.api.field_behavior) = REQUIRED];

google/cloud/aiplatform/v1/job_service.proto

@@ -42,7 +42,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for creating and managing Vertex AI's jobs.
 service JobService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a CustomJob. A created CustomJob right away
   // will be attempted to be run.
@@ -71,7 +72,8 @@ service JobService {
   }
 
   // Deletes a CustomJob.
-  rpc DeleteCustomJob(DeleteCustomJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteCustomJob(DeleteCustomJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/customJobs/*}"
     };
@@ -85,12 +87,15 @@ service JobService {
   // Cancels a CustomJob.
   // Starts asynchronous cancellation on the CustomJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the CustomJob is not deleted; instead it becomes a job with
-  // a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+  // a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
+  // a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+  // `Code.CANCELLED`, and
+  // [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
   // `CANCELLED`.
   rpc CancelCustomJob(CancelCustomJobRequest) returns (google.protobuf.Empty) {
     option (google.api.http) = {
@@ -101,7 +106,8 @@ service JobService {
   }
 
   // Creates a DataLabelingJob.
-  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest) returns (DataLabelingJob) {
+  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest)
+      returns (DataLabelingJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
       body: "data_labeling_job"
@@ -118,7 +124,8 @@ service JobService {
   }
 
   // Lists DataLabelingJobs in a Location.
-  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest) returns (ListDataLabelingJobsResponse) {
+  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest)
+      returns (ListDataLabelingJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
     };
@@ -126,7 +133,8 @@ service JobService {
   }
 
   // Deletes a DataLabelingJob.
-  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}"
     };
@@ -138,7 +146,8 @@ service JobService {
   }
 
   // Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
-  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest) returns (google.protobuf.Empty) {
+  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}:cancel"
       body: "*"
@@ -147,7 +156,8 @@ service JobService {
   }
 
   // Creates a HyperparameterTuningJob
-  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
       body: "hyperparameter_tuning_job"
@@ -156,7 +166,8 @@ service JobService {
   }
 
   // Gets a HyperparameterTuningJob
-  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -164,7 +175,8 @@ service JobService {
   }
 
   // Lists HyperparameterTuningJobs in a Location.
-  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest) returns (ListHyperparameterTuningJobsResponse) {
+  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest)
+      returns (ListHyperparameterTuningJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
     };
@@ -172,7 +184,8 @@ service JobService {
   }
 
   // Deletes a HyperparameterTuningJob.
-  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -186,14 +199,19 @@ service JobService {
   // Cancels a HyperparameterTuningJob.
   // Starts asynchronous cancellation on the HyperparameterTuningJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the HyperparameterTuningJob is not deleted; instead it becomes a job with
-  // a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
-  // of 1, corresponding to `Code.CANCELLED`, and
-  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
-  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest) returns (google.protobuf.Empty) {
+  // a
+  // [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
+  // is set to `CANCELLED`.
+  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}:cancel"
       body: "*"
@@ -203,7 +221,8 @@ service JobService {
 
   // Creates a BatchPredictionJob. A BatchPredictionJob once created will
   // right away be attempted to start.
-  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
       body: "batch_prediction_job"
@@ -212,7 +231,8 @@ service JobService {
   }
 
   // Gets a BatchPredictionJob
-  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -220,7 +240,8 @@ service JobService {
   }
 
   // Lists BatchPredictionJobs in a Location.
-  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest) returns (ListBatchPredictionJobsResponse) {
+  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest)
+      returns (ListBatchPredictionJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
     };
@@ -229,7 +250,8 @@ service JobService {
 
   // Deletes a BatchPredictionJob. Can only be called on jobs that already
   // finished.
-  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -244,13 +266,16 @@ service JobService {
   //
   // Starts asynchronous cancellation on the BatchPredictionJob. The server
   // makes the best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On a successful cancellation,
   // the BatchPredictionJob is not deleted;instead its
-  // [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
-  // outputted by the job are not deleted.
-  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest) returns (google.protobuf.Empty) {
+  // [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
+  // is set to `CANCELLED`. Any files already outputted by the job are not
+  // deleted.
+  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}:cancel"
       body: "*"
@@ -260,25 +285,32 @@ service JobService {
 
   // Creates a ModelDeploymentMonitoringJob. It will run periodically on a
   // configured interval.
-  rpc CreateModelDeploymentMonitoringJob(CreateModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc CreateModelDeploymentMonitoringJob(
+      CreateModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "parent,model_deployment_monitoring_job";
+    option (google.api.method_signature) =
+        "parent,model_deployment_monitoring_job";
   }
 
   // Searches Model Monitoring Statistics generated within a given time window.
-  rpc SearchModelDeploymentMonitoringStatsAnomalies(SearchModelDeploymentMonitoringStatsAnomaliesRequest) returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
+  rpc SearchModelDeploymentMonitoringStatsAnomalies(
+      SearchModelDeploymentMonitoringStatsAnomaliesRequest)
+      returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
     option (google.api.http) = {
       post: "/v1/{model_deployment_monitoring_job=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:searchModelDeploymentMonitoringStatsAnomalies"
       body: "*"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,deployed_model_id";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,deployed_model_id";
   }
 
   // Gets a ModelDeploymentMonitoringJob.
-  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -286,7 +318,9 @@ service JobService {
   }
 
   // Lists ModelDeploymentMonitoringJobs in a Location.
-  rpc ListModelDeploymentMonitoringJobs(ListModelDeploymentMonitoringJobsRequest) returns (ListModelDeploymentMonitoringJobsResponse) {
+  rpc ListModelDeploymentMonitoringJobs(
+      ListModelDeploymentMonitoringJobsRequest)
+      returns (ListModelDeploymentMonitoringJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
     };
@@ -294,12 +328,15 @@ service JobService {
   }
 
   // Updates a ModelDeploymentMonitoringJob.
-  rpc UpdateModelDeploymentMonitoringJob(UpdateModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc UpdateModelDeploymentMonitoringJob(
+      UpdateModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{model_deployment_monitoring_job.name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,update_mask";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,update_mask";
     option (google.longrunning.operation_info) = {
       response_type: "ModelDeploymentMonitoringJob"
       metadata_type: "UpdateModelDeploymentMonitoringJobOperationMetadata"
@@ -307,7 +344,9 @@ service JobService {
   }
 
   // Deletes a ModelDeploymentMonitoringJob.
-  rpc DeleteModelDeploymentMonitoringJob(DeleteModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteModelDeploymentMonitoringJob(
+      DeleteModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -320,8 +359,11 @@ service JobService {
 
   // Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
   // makes a best effort to cancel the job. Will mark
-  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
-  rpc PauseModelDeploymentMonitoringJob(PauseModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+  // to 'PAUSED'.
+  rpc PauseModelDeploymentMonitoringJob(
+      PauseModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:pause"
       body: "*"
@@ -332,7 +374,9 @@ service JobService {
   // Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
   // next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
   // resumed.
-  rpc ResumeModelDeploymentMonitoringJob(ResumeModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  rpc ResumeModelDeploymentMonitoringJob(
+      ResumeModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:resume"
       body: "*"
@@ -341,7 +385,8 @@ service JobService {
   }
 }
 
-// Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+// Request message for
+// [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
 message CreateCustomJobRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -356,7 +401,8 @@ message CreateCustomJobRequest {
   CustomJob custom_job = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+// Request message for
+// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
 message GetCustomJobRequest {
   // Required. The name of the CustomJob resource.
   // Format:
@@ -369,7 +415,8 @@ message GetCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+// Request message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
 message ListCustomJobsRequest {
   // Required. The resource name of the Location to list the CustomJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -407,25 +454,31 @@ message ListCustomJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+// Response message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
 message ListCustomJobsResponse {
   // List of CustomJobs in the requested page.
   repeated CustomJob custom_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+// Request message for
+// [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
 message DeleteCustomJobRequest {
   // Required. The name of the CustomJob resource to be deleted.
   // Format:
@@ -438,7 +491,8 @@ message DeleteCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+// Request message for
+// [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
 message CancelCustomJobRequest {
   // Required. The name of the CustomJob to cancel.
   // Format:
@@ -451,7 +505,8 @@ message CancelCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
+// Request message for
+// [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
 message CreateDataLabelingJobRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -463,10 +518,12 @@ message CreateDataLabelingJobRequest {
   ];
 
   // Required. The DataLabelingJob to create.
-  DataLabelingJob data_labeling_job = 2 [(google.api.field_behavior) = REQUIRED];
+  DataLabelingJob data_labeling_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
+// Request message for
+// [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
 message GetDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -479,7 +536,8 @@ message GetDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+// Request message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -530,7 +588,8 @@ message ListDataLabelingJobsRequest {
   string order_by = 6;
 }
 
-// Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+// Response message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsResponse {
   // A list of DataLabelingJobs that matches the specified filter in the
   // request.
@@ -540,7 +599,8 @@ message ListDataLabelingJobsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+// Request message for
+// [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
 message DeleteDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob to be deleted.
   // Format:
@@ -553,7 +613,8 @@ message DeleteDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
+// Request message for
+// [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
 message CancelDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -566,10 +627,12 @@ message CancelDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+// Request message for
+// [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
 message CreateHyperparameterTuningJobRequest {
-  // Required. The resource name of the Location to create the HyperparameterTuningJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // HyperparameterTuningJob in. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -578,10 +641,12 @@ message CreateHyperparameterTuningJobRequest {
   ];
 
   // Required. The HyperparameterTuningJob to create.
-  HyperparameterTuningJob hyperparameter_tuning_job = 2 [(google.api.field_behavior) = REQUIRED];
+  HyperparameterTuningJob hyperparameter_tuning_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+// Request message for
+// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
 message GetHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource.
   // Format:
@@ -594,10 +659,12 @@ message GetHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+// Request message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
 message ListHyperparameterTuningJobsRequest {
-  // Required. The resource name of the Location to list the HyperparameterTuningJobs
-  // from. Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the
+  // HyperparameterTuningJobs from. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -632,27 +699,33 @@ message ListHyperparameterTuningJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+// Response message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
 message ListHyperparameterTuningJobsResponse {
   // List of HyperparameterTuningJobs in the requested page.
-  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+  // of the jobs will be not be returned.
   repeated HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+// Request message for
+// [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
 message DeleteHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource to be deleted.
   // Format:
@@ -665,7 +738,8 @@ message DeleteHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+// Request message for
+// [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
 message CancelHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob to cancel.
   // Format:
@@ -678,10 +752,11 @@ message CancelHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+// Request message for
+// [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
 message CreateBatchPredictionJobRequest {
-  // Required. The resource name of the Location to create the BatchPredictionJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -690,10 +765,12 @@ message CreateBatchPredictionJobRequest {
   ];
 
   // Required. The BatchPredictionJob to create.
-  BatchPredictionJob batch_prediction_job = 2 [(google.api.field_behavior) = REQUIRED];
+  BatchPredictionJob batch_prediction_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+// Request message for
+// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
 message GetBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource.
   // Format:
@@ -706,7 +783,8 @@ message GetBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+// Request message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
 message ListBatchPredictionJobsRequest {
   // Required. The resource name of the Location to list the BatchPredictionJobs
   // from. Format: `projects/{project}/locations/{location}`
@@ -745,26 +823,31 @@ message ListBatchPredictionJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+// Response message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
 message ListBatchPredictionJobsResponse {
   // List of BatchPredictionJobs in the requested page.
   repeated BatchPredictionJob batch_prediction_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+// Request message for
+// [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
 message DeleteBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource to be deleted.
   // Format:
@@ -777,7 +860,8 @@ message DeleteBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+// Request message for
+// [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
 message CancelBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob to cancel.
   // Format:
@@ -803,7 +887,8 @@ message CreateModelDeploymentMonitoringJobRequest {
   ];
 
   // Required. The ModelDeploymentMonitoringJob to create
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
@@ -814,11 +899,12 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
     ModelDeploymentMonitoringObjectiveType type = 1;
 
     // If set, all attribution scores between
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-    // fetched, and page token doesn't take effect in this case.
-    // Only used to retrieve attribution score for the top Features which has
-    // the highest attribution score in the latest monitoring run.
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+    // and
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+    // are fetched, and page token doesn't take effect in this case. Only used
+    // to retrieve attribution score for the top Features which has the highest
+    // attribution score in the latest monitoring run.
     int32 top_feature_count = 4;
   }
 
@@ -843,7 +929,8 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
   string feature_display_name = 3;
 
   // Required. Objectives of the stats to retrieve.
-  repeated StatsAnomaliesObjective objectives = 4 [(google.api.field_behavior) = REQUIRED];
+  repeated StatsAnomaliesObjective objectives = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // The standard list page size.
   int32 page_size = 5;
@@ -949,18 +1036,18 @@ message ListModelDeploymentMonitoringJobsResponse {
 // Request message for
 // [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
 message UpdateModelDeploymentMonitoringJobRequest {
-  // Required. The model monitoring configuration which replaces the resource on the
-  // server.
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // Required. The update mask is used to specify the fields to be overwritten in the
-  // ModelDeploymentMonitoringJob resource by the update.
-  // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then only the non-empty fields present in the
-  // request will be overwritten. Set the update_mask to `*` to override all
-  // fields.
-  // For the objective config, the user can either provide the update mask for
+  // Required. The model monitoring configuration which replaces the resource on
+  // the server.
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1
+      [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask is used to specify the fields to be overwritten
+  // in the ModelDeploymentMonitoringJob resource by the update. The fields
+  // specified in the update_mask are relative to the resource, not the full
+  // request. A field will be overwritten if it is in the mask. If the user does
+  // not provide a mask then only the non-empty fields present in the request
+  // will be overwritten. Set the update_mask to `*` to override all fields. For
+  // the objective config, the user can either provide the update mask for
   // model_deployment_monitoring_objective_configs or any combination of its
   // nested fields, such as:
   // model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -980,7 +1067,8 @@ message UpdateModelDeploymentMonitoringJobRequest {
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
   //   * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for

google/cloud/aiplatform/v1/machine_resources.proto

@@ -37,14 +37,18 @@ message MachineSpec {
   // See the [list of machine types supported for custom
   // training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
   //
-  // For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-  // [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+  // For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+  // optional, and the default value is `n1-standard-2`. For
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+  // part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+  // field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The type of accelerator(s) that may be attached to the machine as per
+  // Immutable. The type of accelerator(s) that may be attached to the machine
+  // as per
   // [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
-  AcceleratorType accelerator_type = 2 [(google.api.field_behavior) = IMMUTABLE];
+  AcceleratorType accelerator_type = 2
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // The number of accelerators to attach to the machine.
   int32 accelerator_count = 3;
@@ -53,14 +57,16 @@ message MachineSpec {
 // A description of resources that are dedicated to a DeployedModel, and
 // that need a higher degree of manual configuration.
 message DedicatedResources {
-  // Required. Immutable. The specification of a single machine used by the prediction.
+  // Required. Immutable. The specification of a single machine used by the
+  // prediction.
   MachineSpec machine_spec = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-  // deployed on. This value must be greater than or equal to 1.
+  // Required. Immutable. The minimum number of machine replicas this
+  // DeployedModel will be always deployed on. This value must be greater than
+  // or equal to 1.
   //
   // If traffic against the DeployedModel increases, it may dynamically be
   // deployed onto more replicas, and as traffic decreases, some of these extra
@@ -70,14 +76,15 @@ message DedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-  // default value.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, will use
+  // [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+  // as the default value.
   //
   // The value of this field impacts the charge against Vertex CPU and GPU
   // quotas. Specifically, you will be charged for (max_replica_count *
@@ -90,44 +97,49 @@ message DedicatedResources {
   // target value (default to 60 if not set). At most one entry is allowed per
   // metric.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-  // above 0, the autoscaling will be based on both CPU utilization and
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+  // is above 0, the autoscaling will be based on both CPU utilization and
   // accelerator's duty cycle metrics and scale up when either metrics exceeds
   // its target value while scale down if both metrics are under their target
   // value. The default target value is 60 for both metrics.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-  // 0, the autoscaling will be based on CPU utilization metric only with
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+  // is 0, the autoscaling will be based on CPU utilization metric only with
   // default target value 60 if not explicitly set.
   //
   // For example, in the case of Online Prediction, if you want to override
   // target CPU utilization to 80, you should set
   // [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
   // to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
-  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4 [(google.api.field_behavior) = IMMUTABLE];
+  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+  // to `80`.
+  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A description of resources that to large degree are decided by Vertex AI,
 // and require only a modest additional configuration.
 // Each Model supporting these resources documents its specific guidelines.
 message AutomaticResources {
-  // Immutable. The minimum number of replicas this DeployedModel will be always deployed
-  // on. If traffic against it increases, it may dynamically be deployed onto
-  // more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-  // of these extra replicas may be freed.
-  // If the requested value is too large, the deployment will error.
+  // Immutable. The minimum number of replicas this DeployedModel will be always
+  // deployed on. If traffic against it increases, it may dynamically be
+  // deployed onto more replicas up to
+  // [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+  // and as traffic decreases, some of these extra replicas may be freed. If the
+  // requested value is too large, the deployment will error.
   int32 min_replica_count = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, a no upper bound for scaling under heavy
-  // traffic will be assume, though Vertex AI may be unable to scale beyond
-  // certain replica number.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, a no upper bound for scaling under
+  // heavy traffic will be assume, though Vertex AI may be unable to scale
+  // beyond certain replica number.
   int32 max_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 }
 
@@ -140,21 +152,21 @@ message BatchDedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The number of machine replicas used at the start of the batch operation.
-  // If not set, Vertex AI decides starting number, not greater than
+  // Immutable. The number of machine replicas used at the start of the batch
+  // operation. If not set, Vertex AI decides starting number, not greater than
   // [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
   int32 starting_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of machine replicas the batch operation may be scaled
-  // to. The default value is 10.
+  // Immutable. The maximum number of machine replicas the batch operation may
+  // be scaled to. The default value is 10.
   int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // Statistics information about resource consumption.
 message ResourcesConsumed {
-  // Output only. The number of replica hours used. Note that many replicas may run in
-  // parallel, and additionally any given work may be queued for some time.
-  // Therefore this value is not strictly related to wall time.
+  // Output only. The number of replica hours used. Note that many replicas may
+  // run in parallel, and additionally any given work may be queued for some
+  // time. Therefore this value is not strictly related to wall time.
   double replica_hours = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
@@ -179,8 +191,8 @@ message NfsMount {
   // the source mount path in the form of `server:path`
   string path = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Destination mount path. The NFS will be mounted for the user under
-  // /mnt/nfs/<mount_point>
+  // Required. Destination mount path. The NFS will be mounted for the user
+  // under /mnt/nfs/<mount_point>
   string mount_point = 3 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto

@@ -28,11 +28,11 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 
 // Manual batch tuning parameters.
 message ManualBatchTuningParameters {
-  // Immutable. The number of the records (e.g. instances) of the operation given in
-  // each batch to a machine replica. Machine type, and size of a single
-  // record should be considered when setting this parameter, higher value
-  // speeds up the batch operation's execution, but too high value will result
-  // in a whole batch not fitting in a machine's memory, and the whole
+  // Immutable. The number of the records (e.g. instances) of the operation
+  // given in each batch to a machine replica. Machine type, and size of a
+  // single record should be considered when setting this parameter, higher
+  // value speeds up the batch operation's execution, but too high value will
+  // result in a whole batch not fitting in a machine's memory, and the whole
   // operation will fail.
   // The default value is 64.
   int32 batch_size = 1 [(google.api.field_behavior) = IMMUTABLE];

google/cloud/aiplatform/v1/metadata_schema.proto

@@ -58,9 +58,9 @@ message MetadataSchema {
   // allow to order/compare different versions. Example: 1.0.0, 1.0.1, etc.
   string schema_version = 2;
 
-  // Required. The raw YAML string representation of the MetadataSchema. The combination
-  // of [MetadataSchema.version] and the schema name given by `title` in
-  // [MetadataSchema.schema] must be unique within a MetadataStore.
+  // Required. The raw YAML string representation of the MetadataSchema. The
+  // combination of [MetadataSchema.version] and the schema name given by
+  // `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
   //
   // The schema is defined as an OpenAPI 3.0.2
   // [MetadataSchema
@@ -72,7 +72,8 @@ message MetadataSchema {
   MetadataSchemaType schema_type = 4;
 
   // Output only. Timestamp when this MetadataSchema was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Description of the Metadata Schema
   string description = 6;

google/cloud/aiplatform/v1/metadata_service.proto

@@ -42,15 +42,18 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // Service for reading and writing metadata entries.
 service MetadataService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Initializes a MetadataStore, including allocation of resources.
-  rpc CreateMetadataStore(CreateMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateMetadataStore(CreateMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/metadataStores"
       body: "metadata_store"
     };
-    option (google.api.method_signature) = "parent,metadata_store,metadata_store_id";
+    option (google.api.method_signature) =
+        "parent,metadata_store,metadata_store_id";
     option (google.longrunning.operation_info) = {
       response_type: "MetadataStore"
       metadata_type: "CreateMetadataStoreOperationMetadata"
@@ -66,7 +69,8 @@ service MetadataService {
   }
 
   // Lists MetadataStores for a Location.
-  rpc ListMetadataStores(ListMetadataStoresRequest) returns (ListMetadataStoresResponse) {
+  rpc ListMetadataStores(ListMetadataStoresRequest)
+      returns (ListMetadataStoresResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/metadataStores"
     };
@@ -75,7 +79,8 @@ service MetadataService {
 
   // Deletes a single MetadataStore and all its child resources (Artifacts,
   // Executions, and Contexts).
-  rpc DeleteMetadataStore(DeleteMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteMetadataStore(DeleteMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*}"
     };
@@ -121,7 +126,8 @@ service MetadataService {
   }
 
   // Deletes an Artifact.
-  rpc DeleteArtifact(DeleteArtifactRequest) returns (google.longrunning.Operation) {
+  rpc DeleteArtifact(DeleteArtifactRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}"
     };
@@ -133,7 +139,8 @@ service MetadataService {
   }
 
   // Purges Artifacts.
-  rpc PurgeArtifacts(PurgeArtifactsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeArtifacts(PurgeArtifactsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/artifacts:purge"
       body: "*"
@@ -180,7 +187,8 @@ service MetadataService {
   }
 
   // Deletes a stored Context.
-  rpc DeleteContext(DeleteContextRequest) returns (google.longrunning.Operation) {
+  rpc DeleteContext(DeleteContextRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}"
     };
@@ -192,7 +200,8 @@ service MetadataService {
   }
 
   // Purges Contexts.
-  rpc PurgeContexts(PurgeContextsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeContexts(PurgeContextsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/contexts:purge"
       body: "*"
@@ -207,7 +216,8 @@ service MetadataService {
   // Adds a set of Artifacts and Executions to a Context. If any of the
   // Artifacts or Executions have already been added to a Context, they are
   // simply skipped.
-  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest) returns (AddContextArtifactsAndExecutionsResponse) {
+  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest)
+      returns (AddContextArtifactsAndExecutionsResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextArtifactsAndExecutions"
       body: "*"
@@ -220,7 +230,8 @@ service MetadataService {
   // simply skipped. If this call would create a cycle or cause any Context to
   // have more than 10 parents, the request will fail with an INVALID_ARGUMENT
   // error.
-  rpc AddContextChildren(AddContextChildrenRequest) returns (AddContextChildrenResponse) {
+  rpc AddContextChildren(AddContextChildrenRequest)
+      returns (AddContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextChildren"
       body: "*"
@@ -231,7 +242,8 @@ service MetadataService {
   // Remove a set of children contexts from a parent Context. If any of the
   // child Contexts were NOT added to the parent Context, they are
   // simply skipped.
-  rpc RemoveContextChildren(RemoveContextChildrenRequest) returns (RemoveContextChildrenResponse) {
+  rpc RemoveContextChildren(RemoveContextChildrenRequest)
+      returns (RemoveContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:removeContextChildren"
       body: "*"
@@ -241,7 +253,8 @@ service MetadataService {
 
   // Retrieves Artifacts and Executions within the specified Context, connected
   // by Event edges and returned as a LineageSubgraph.
-  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:queryContextLineageSubgraph"
     };
@@ -283,7 +296,8 @@ service MetadataService {
   }
 
   // Deletes an Execution.
-  rpc DeleteExecution(DeleteExecutionRequest) returns (google.longrunning.Operation) {
+  rpc DeleteExecution(DeleteExecutionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}"
     };
@@ -295,7 +309,8 @@ service MetadataService {
   }
 
   // Purges Executions.
-  rpc PurgeExecutions(PurgeExecutionsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeExecutions(PurgeExecutionsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/executions:purge"
       body: "*"
@@ -311,7 +326,8 @@ service MetadataService {
   // Artifact was used as an input or output for an Execution. If an Event
   // already exists between the Execution and the Artifact, the Event is
   // skipped.
-  rpc AddExecutionEvents(AddExecutionEventsRequest) returns (AddExecutionEventsResponse) {
+  rpc AddExecutionEvents(AddExecutionEventsRequest)
+      returns (AddExecutionEventsResponse) {
     option (google.api.http) = {
       post: "/v1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:addExecutionEvents"
       body: "*"
@@ -322,7 +338,8 @@ service MetadataService {
   // Obtains the set of input and output Artifacts for this Execution, in the
   // form of LineageSubgraph that also contains the Execution and connecting
   // Events.
-  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest) returns (LineageSubgraph) {
+  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:queryExecutionInputsAndOutputs"
     };
@@ -330,12 +347,14 @@ service MetadataService {
   }
 
   // Creates a MetadataSchema.
-  rpc CreateMetadataSchema(CreateMetadataSchemaRequest) returns (MetadataSchema) {
+  rpc CreateMetadataSchema(CreateMetadataSchemaRequest)
+      returns (MetadataSchema) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
       body: "metadata_schema"
     };
-    option (google.api.method_signature) = "parent,metadata_schema,metadata_schema_id";
+    option (google.api.method_signature) =
+        "parent,metadata_schema,metadata_schema_id";
   }
 
   // Retrieves a specific MetadataSchema.
@@ -347,7 +366,8 @@ service MetadataService {
   }
 
   // Lists MetadataSchemas.
-  rpc ListMetadataSchemas(ListMetadataSchemasRequest) returns (ListMetadataSchemasResponse) {
+  rpc ListMetadataSchemas(ListMetadataSchemasRequest)
+      returns (ListMetadataSchemasResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
     };
@@ -356,7 +376,8 @@ service MetadataService {
 
   // Retrieves lineage of an Artifact represented through Artifacts and
   // Executions connected by Event edges and returned as a LineageSubgraph.
-  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{artifact=projects/*/locations/*/metadataStores/*/artifacts/*}:queryArtifactLineageSubgraph"
     };
@@ -364,7 +385,8 @@ service MetadataService {
   }
 }
 
-// Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+// Request message for
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreRequest {
   // Required. The resource name of the Location where the MetadataStore should
   // be created.
@@ -390,13 +412,15 @@ message CreateMetadataStoreRequest {
   string metadata_store_id = 3;
 }
 
-// Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+// Details of operations that perform
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreOperationMetadata {
   // Operation metadata for creating a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
+// Request message for
+// [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
 message GetMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to retrieve.
   // Format:
@@ -409,7 +433,8 @@ message GetMetadataStoreRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+// Request message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
 message ListMetadataStoresRequest {
   // Required. The Location whose MetadataStores should be listed.
   // Format:
@@ -427,8 +452,8 @@ message ListMetadataStoresRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-  // subsequent page.
+  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -436,18 +461,21 @@ message ListMetadataStoresRequest {
   string page_token = 3;
 }
 
-// Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+// Response message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
 message ListMetadataStoresResponse {
   // The MetadataStores found for the Location.
   repeated MetadataStore metadata_stores = 1;
 
   // A token, which can be sent as
-  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+// Request message for
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to delete.
   // Format:
@@ -463,13 +491,15 @@ message DeleteMetadataStoreRequest {
   bool force = 2 [deprecated = true];
 }
 
-// Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+// Details of operations that perform
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreOperationMetadata {
   // Operation metadata for deleting a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
+// Request message for
+// [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
 message CreateArtifactRequest {
   // Required. The resource name of the MetadataStore where the Artifact should
   // be created.
@@ -495,7 +525,8 @@ message CreateArtifactRequest {
   string artifact_id = 3;
 }
 
-// Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
+// Request message for
+// [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
 message GetArtifactRequest {
   // Required. The resource name of the Artifact to retrieve.
   // Format:
@@ -508,7 +539,8 @@ message GetArtifactRequest {
   ];
 }
 
-// Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+// Request message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
 message ListArtifactsRequest {
   // Required. The MetadataStore whose Artifacts should be listed.
   // Format:
@@ -524,7 +556,8 @@ message ListArtifactsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+  // A page token, received from a previous
+  // [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -571,36 +604,41 @@ message ListArtifactsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+// Response message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
 message ListArtifactsResponse {
   // The Artifacts retrieved from the MetadataStore.
   repeated Artifact artifacts = 1;
 
-  // A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+  // A token, which can be sent as
+  // [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
+// Request message for
+// [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
 message UpdateArtifactRequest {
   // Required. The Artifact containing updates.
-  // The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-  // be updated.
-  // Format:
+  // The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+  // field is used to identify the Artifact to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   Artifact artifact = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+  // If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+  // not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
   // created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
+// Request message for
+// [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
 message DeleteArtifactRequest {
   // Required. The resource name of the Artifact to delete.
   // Format:
@@ -618,7 +656,8 @@ message DeleteArtifactRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Request message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsRequest {
   // Required. The metadata store to purge Artifacts from.
   // Format:
@@ -640,7 +679,8 @@ message PurgeArtifactsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Response message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsResponse {
   // The number of Artifacts that this request deleted (or, if `force` is false,
   // the number of Artifacts that will be deleted). This can be an estimate.
@@ -650,21 +690,22 @@ message PurgeArtifactsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Artifact"
-                                    }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Details of operations that perform
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsMetadata {
   // Operation metadata for purging Artifacts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
+// Request message for
+// [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
 message CreateContextRequest {
-  // Required. The resource name of the MetadataStore where the Context should be
-  // created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the Context should
+  // be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -686,7 +727,8 @@ message CreateContextRequest {
   string context_id = 3;
 }
 
-// Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
+// Request message for
+// [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
 message GetContextRequest {
   // Required. The resource name of the Context to retrieve.
   // Format:
@@ -699,7 +741,8 @@ message GetContextRequest {
   ];
 }
 
-// Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+// Request message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
 message ListContextsRequest {
   // Required. The MetadataStore whose Contexts should be listed.
   // Format:
@@ -715,7 +758,8 @@ message ListContextsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+  // A page token, received from a previous
+  // [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -766,36 +810,40 @@ message ListContextsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
+// Response message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
 message ListContextsResponse {
   // The Contexts retrieved from the MetadataStore.
   repeated Context contexts = 1;
 
-  // A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+  // A token, which can be sent as
+  // [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
+// Request message for
+// [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
 message UpdateContextRequest {
   // Required. The Context containing updates.
-  // The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-  // updated.
-  // Format:
+  // The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+  // is used to identify the Context to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   Context context = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-  // created.
+  // If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+  // not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
+// Request message for
+// [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
 message DeleteContextRequest {
   // Required. The resource name of the Context to delete.
   // Format:
@@ -817,7 +865,8 @@ message DeleteContextRequest {
   string etag = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Request message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsRequest {
   // Required. The metadata store to purge Contexts from.
   // Format:
@@ -839,7 +888,8 @@ message PurgeContextsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Response message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsResponse {
   // The number of Contexts that this request deleted (or, if `force` is false,
   // the number of Contexts that will be deleted). This can be an estimate.
@@ -849,21 +899,22 @@ message PurgeContextsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Context"
-                                    }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Details of operations that perform
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsMetadata {
   // Operation metadata for purging Contexts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+// Request message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
 message AddContextArtifactsAndExecutionsRequest {
-  // Required. The resource name of the Context that the Artifacts and Executions
-  // belong to.
-  // Format:
+  // Required. The resource name of the Context that the Artifacts and
+  // Executions belong to. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   string context = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -877,8 +928,8 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   repeated string artifacts = 2 [(google.api.resource_reference) = {
-                                   type: "aiplatform.googleapis.com/Artifact"
-                                 }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 
   // The resource names of the Executions to associate with the
   // Context.
@@ -886,16 +937,16 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   repeated string executions = 3 [(google.api.resource_reference) = {
-                                    type: "aiplatform.googleapis.com/Execution"
-                                  }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
-message AddContextArtifactsAndExecutionsResponse {
-
-}
+// Response message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+message AddContextArtifactsAndExecutionsResponse {}
 
-// Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+// Request message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
 message AddContextChildrenRequest {
   // Required. The resource name of the parent Context.
   //
@@ -910,14 +961,13 @@ message AddContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
-message AddContextChildrenResponse {
-
-}
+// Response message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+message AddContextChildrenResponse {}
 
 // Request message for
 // [MetadataService.DeleteContextChildrenRequest][].
@@ -935,16 +985,16 @@ message RemoveContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
-message RemoveContextChildrenResponse {
+// Response message for
+// [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
+message RemoveContextChildrenResponse {}
 
-}
-
-// Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
+// Request message for
+// [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
 message QueryContextLineageSubgraphRequest {
   // Required. The resource name of the Context whose Artifacts and Executions
   // should be retrieved as a LineageSubgraph.
@@ -962,7 +1012,8 @@ message QueryContextLineageSubgraphRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
+// Request message for
+// [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
 message CreateExecutionRequest {
   // Required. The resource name of the MetadataStore where the Execution should
   // be created.
@@ -989,7 +1040,8 @@ message CreateExecutionRequest {
   string execution_id = 3;
 }
 
-// Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
+// Request message for
+// [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
 message GetExecutionRequest {
   // Required. The resource name of the Execution to retrieve.
   // Format:
@@ -1002,7 +1054,8 @@ message GetExecutionRequest {
   ];
 }
 
-// Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+// Request message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
 message ListExecutionsRequest {
   // Required. The MetadataStore whose Executions should be listed.
   // Format:
@@ -1018,7 +1071,8 @@ message ListExecutionsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+  // A page token, received from a previous
+  // [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -1065,36 +1119,41 @@ message ListExecutionsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+// Response message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
 message ListExecutionsResponse {
   // The Executions retrieved from the MetadataStore.
   repeated Execution executions = 1;
 
-  // A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+  // A token, which can be sent as
+  // [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
+// Request message for
+// [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
 message UpdateExecutionRequest {
   // Required. The Execution containing updates.
-  // The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-  // to be updated.
-  // Format:
+  // The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+  // field is used to identify the Execution to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   Execution execution = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-  // is created.
+  // If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+  // is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+  // created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
+// Request message for
+// [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
 message DeleteExecutionRequest {
   // Required. The resource name of the Execution to delete.
   // Format:
@@ -1112,7 +1171,8 @@ message DeleteExecutionRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Request message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsRequest {
   // Required. The metadata store to purge Executions from.
   // Format:
@@ -1134,7 +1194,8 @@ message PurgeExecutionsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Response message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsResponse {
   // The number of Executions that this request deleted (or, if `force` is
   // false, the number of Executions that will be deleted). This can be an
@@ -1145,17 +1206,19 @@ message PurgeExecutionsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Execution"
-                                    }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Details of operations that perform
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsMetadata {
   // Operation metadata for purging Executions.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+// Request message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
 message AddExecutionEventsRequest {
   // Required. The resource name of the Execution that the Events connect
   // Artifacts with.
@@ -1172,16 +1235,15 @@ message AddExecutionEventsRequest {
   repeated Event events = 2;
 }
 
-// Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
-message AddExecutionEventsResponse {
+// Response message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+message AddExecutionEventsResponse {}
 
-}
-
-// Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
+// Request message for
+// [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
 message QueryExecutionInputsAndOutputsRequest {
-  // Required. The resource name of the Execution whose input and output Artifacts should
-  // be retrieved as a LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Execution whose input and output
+  // Artifacts should be retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   string execution = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1191,11 +1253,11 @@ message QueryExecutionInputsAndOutputsRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
+// Request message for
+// [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
 message CreateMetadataSchemaRequest {
-  // Required. The resource name of the MetadataStore where the MetadataSchema should
-  // be created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the MetadataSchema
+  // should be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1218,7 +1280,8 @@ message CreateMetadataSchemaRequest {
   string metadata_schema_id = 3;
 }
 
-// Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
+// Request message for
+// [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
 message GetMetadataSchemaRequest {
   // Required. The resource name of the MetadataSchema to retrieve.
   // Format:
@@ -1231,7 +1294,8 @@ message GetMetadataSchemaRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+// Request message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasRequest {
   // Required. The MetadataStore whose MetadataSchemas should be listed.
   // Format:
@@ -1249,8 +1313,8 @@ message ListMetadataSchemasRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-  // next page.
+  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+  // call. Provide this to retrieve the next page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -1261,22 +1325,24 @@ message ListMetadataSchemasRequest {
   string filter = 4;
 }
 
-// Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+// Response message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasResponse {
   // The MetadataSchemas found for the MetadataStore.
   repeated MetadataSchema metadata_schemas = 1;
 
   // A token, which can be sent as
-  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
+// Request message for
+// [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
 message QueryArtifactLineageSubgraphRequest {
-  // Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-  // LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Artifact whose Lineage needs to be
+  // retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   //
   // The request may error with FAILED_PRECONDITION if the number of Artifacts,

google/cloud/aiplatform/v1/metadata_store.proto

@@ -47,10 +47,12 @@ message MetadataStore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for a Metadata Store. If set, this
   // Metadata Store and all sub-resources of this Metadata Store are secured

google/cloud/aiplatform/v1/migratable_resource.proto

@@ -65,9 +65,9 @@ message MigratableResource {
 
     // Full resource name of ml engine model Version.
     // Format: `projects/{project}/models/{model}/versions/{version}`.
-    string version = 2 [(google.api.resource_reference) = {
-                          type: "ml.googleapis.com/Version"
-                        }];
+    string version = 2 [
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
+    ];
   }
 
   // Represents one Model in automl.googleapis.com.
@@ -75,9 +75,9 @@ message MigratableResource {
     // Full resource name of automl Model.
     // Format:
     // `projects/{project}/locations/{location}/models/{model}`.
-    string model = 1 [(google.api.resource_reference) = {
-                        type: "automl.googleapis.com/Model"
-                      }];
+    string model = 1 [
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
+    ];
 
     // The Model's display name in automl.googleapis.com.
     string model_display_name = 3;
@@ -89,8 +89,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/locations/{location}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "automl.googleapis.com/Dataset"
-                        }];
+      type: "automl.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in automl.googleapis.com.
     string dataset_display_name = 4;
@@ -104,8 +104,8 @@ message MigratableResource {
       // Format:
       // `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
       string annotated_dataset = 1 [(google.api.resource_reference) = {
-                                      type: "datalabeling.googleapis.com/AnnotatedDataset"
-                                    }];
+        type: "datalabeling.googleapis.com/AnnotatedDataset"
+      }];
 
       // The AnnotatedDataset's display name in datalabeling.googleapis.com.
       string annotated_dataset_display_name = 3;
@@ -115,8 +115,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "datalabeling.googleapis.com/Dataset"
-                        }];
+      type: "datalabeling.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in datalabeling.googleapis.com.
     string dataset_display_name = 4;
@@ -128,23 +128,28 @@ message MigratableResource {
 
   oneof resource {
     // Output only. Represents one Version in ml.googleapis.com.
-    MlEngineModelVersion ml_engine_model_version = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    MlEngineModelVersion ml_engine_model_version = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Model in automl.googleapis.com.
     AutomlModel automl_model = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in automl.googleapis.com.
-    AutomlDataset automl_dataset = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    AutomlDataset automl_dataset = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in datalabeling.googleapis.com.
-    DataLabelingDataset data_labeling_dataset = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    DataLabelingDataset data_labeling_dataset = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Timestamp when the last migration attempt on this MigratableResource
-  // started. Will not be set if there's no migration attempt on this
-  // MigratableResource.
-  google.protobuf.Timestamp last_migrate_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when the last migration attempt on this
+  // MigratableResource started. Will not be set if there's no migration attempt
+  // on this MigratableResource.
+  google.protobuf.Timestamp last_migrate_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MigratableResource was last updated.
-  google.protobuf.Timestamp last_update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp last_update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/migration_service.proto

@@ -37,12 +37,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
 service MigrationService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Searches all of the resources in automl.googleapis.com,
   // datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
   // Vertex AI's given location.
-  rpc SearchMigratableResources(SearchMigratableResourcesRequest) returns (SearchMigratableResourcesResponse) {
+  rpc SearchMigratableResources(SearchMigratableResourcesRequest)
+      returns (SearchMigratableResourcesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/migratableResources:search"
       body: "*"
@@ -52,7 +54,8 @@ service MigrationService {
 
   // Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
   // and datalabeling.googleapis.com to Vertex AI.
-  rpc BatchMigrateResources(BatchMigrateResourcesRequest) returns (google.longrunning.Operation) {
+  rpc BatchMigrateResources(BatchMigrateResourcesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/migratableResources:batchMigrate"
       body: "*"
@@ -65,12 +68,12 @@ service MigrationService {
   }
 }
 
-// Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+// Request message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesRequest {
-  // Required. The location that the migratable resources should be searched from.
-  // It's the Vertex AI location that the resources can be migrated to, not
-  // the resources' original location.
-  // Format:
+  // Required. The location that the migratable resources should be searched
+  // from. It's the Vertex AI location that the resources can be migrated to,
+  // not the resources' original location. Format:
   // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -101,7 +104,8 @@ message SearchMigratableResourcesRequest {
   string filter = 4;
 }
 
-// Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+// Response message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesResponse {
   // All migratable resources that can be migrated to the
   // location specified in the request.
@@ -113,7 +117,8 @@ message SearchMigratableResourcesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Request message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesRequest {
   // Required. The location of the migrated resource will live in.
   // Format: `projects/{project}/locations/{location}`
@@ -127,7 +132,8 @@ message BatchMigrateResourcesRequest {
   // Required. The request messages specifying the resources to migrate.
   // They must be in the same location as the destination.
   // Up to 50 resources can be migrated in one batch.
-  repeated MigrateResourceRequest migrate_resource_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated MigrateResourceRequest migrate_resource_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Config of migrating one resource from automl.googleapis.com,
@@ -135,9 +141,8 @@ message BatchMigrateResourcesRequest {
 message MigrateResourceRequest {
   // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
   message MigrateMlEngineModelVersionConfig {
-    // Required. The ml.googleapis.com endpoint that this model version should be migrated
-    // from.
-    // Example values:
+    // Required. The ml.googleapis.com endpoint that this model version should
+    // be migrated from. Example values:
     //
     // * ml.googleapis.com
     //
@@ -152,9 +157,7 @@ message MigrateResourceRequest {
     // Format: `projects/{project}/models/{model}/versions/{version}`.
     string model_version = 2 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "ml.googleapis.com/Version"
-      }
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
     ];
 
     // Required. Display name of the model in Vertex AI.
@@ -169,9 +172,7 @@ message MigrateResourceRequest {
     // `projects/{project}/locations/{location}/models/{model}`.
     string model = 1 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "automl.googleapis.com/Model"
-      }
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
     ];
 
     // Optional. Display name of the model in Vertex AI.
@@ -228,15 +229,18 @@ message MigrateResourceRequest {
     // System will pick a display name if unspecified.
     string dataset_display_name = 2 [(google.api.field_behavior) = OPTIONAL];
 
-    // Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-    // Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-    // to the datalabeling Dataset.
-    repeated MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(google.api.field_behavior) = OPTIONAL];
+    // Optional. Configs for migrating AnnotatedDataset in
+    // datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+    // AnnotatedDatasets have to belong to the datalabeling Dataset.
+    repeated MigrateDataLabelingAnnotatedDatasetConfig
+        migrate_data_labeling_annotated_dataset_configs = 3
+        [(google.api.field_behavior) = OPTIONAL];
   }
 
   oneof request {
     // Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
-    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config =
+        1;
 
     // Config for migrating Model in automl.googleapis.com to Vertex AI's
     // Model.
@@ -252,7 +256,8 @@ message MigrateResourceRequest {
   }
 }
 
-// Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Response message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesResponse {
   // Successfully migrated resources.
   repeated MigrateResourceResponse migrate_resource_responses = 1;
@@ -264,13 +269,13 @@ message MigrateResourceResponse {
   oneof migrated_resource {
     // Migrated Dataset's resource name.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Dataset"
-                        }];
+      type: "aiplatform.googleapis.com/Dataset"
+    }];
 
     // Migrated Model's resource name.
     string model = 2 [(google.api.resource_reference) = {
-                        type: "aiplatform.googleapis.com/Model"
-                      }];
+      type: "aiplatform.googleapis.com/Model"
+    }];
   }
 
   // Before migration, the identifier in ml.googleapis.com,
@@ -278,7 +283,8 @@ message MigrateResourceResponse {
   MigratableResource migratable_resource = 3;
 }
 
-// Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Runtime operation information for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
   // Represents a partial result in batch migration operation for one
   // [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
@@ -292,13 +298,13 @@ message BatchMigrateResourcesOperationMetadata {
 
       // Migrated model resource name.
       string model = 3 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Model"
-                        }];
+        type: "aiplatform.googleapis.com/Model"
+      }];
 
       // Migrated dataset resource name.
       string dataset = 4 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
     }
 
     // It's the same as the value in

google/cloud/aiplatform/v1/model.proto

@@ -50,12 +50,15 @@ message Model {
 
       // Model artifact and any of its supported files. Will be exported to the
       // location specified by the `artifactDestination` field of the
-      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+      // object.
       ARTIFACT = 1;
 
       // The container image that is to be used when deploying this Model. Will
       // be exported to the location specified by the `imageDestination` field
-      // of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      // of the
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+      // object.
       IMAGE = 2;
     }
 
@@ -83,7 +86,8 @@ message Model {
     string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The content of this Model that may be exported.
-    repeated ExportableContent exportable_contents = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated ExportableContent exportable_contents = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Identifies a type of Model's prediction resources.
@@ -91,16 +95,18 @@ message Model {
     // Should not be used.
     DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;
 
-    // Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
-    // higher degree of manual configuration.
+    // Resources that are dedicated to the
+    // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
+    // a higher degree of manual configuration.
     DEDICATED_RESOURCES = 1;
 
     // Resources that to large degree are decided by Vertex AI, and require
     // only a modest additional configuration.
     AUTOMATIC_RESOURCES = 2;
 
-    // Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1.DeployedModel].
-    // A pre-configured [DeploymentResourcePool][] is required.
+    // Resources that can be shared by multiple
+    // [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
+    // pre-configured [DeploymentResourcePool][] is required.
     SHARED_RESOURCES = 3;
   }
 
@@ -128,10 +134,12 @@ message Model {
   repeated string version_aliases = 29;
 
   // Output only. Timestamp when this version was created.
-  google.protobuf.Timestamp version_create_time = 31 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_create_time = 31
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this version was most recently updated.
-  google.protobuf.Timestamp version_update_time = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_update_time = 32
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The display name of the Model.
   // The name can be up to 128 characters long and can consist of any UTF-8
@@ -146,13 +154,15 @@ message Model {
 
   // The schemata that describe formats of the Model's predictions and
   // explanations as given and returned via
-  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // and
+  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
   PredictSchemata predict_schemata = 4;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Model, that is specific to it. Unset if the Model
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Model, that is specific to it. Unset if
+  // the Model does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI, if no
   // additional metadata is needed, this field is set to an empty string.
@@ -161,17 +171,19 @@ message Model {
   // point to a location where the user only has a read access.
   string metadata_schema_uri = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. An additional information about the Model; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+  // Immutable. An additional information about the Model; the schema of the
+  // metadata can be found in
+  // [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
   // Unset if the Model does not have any additional information.
   google.protobuf.Value metadata = 6 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. The formats in which this Model may be exported. If empty, this Model is
-  // not available for export.
-  repeated ExportFormat supported_export_formats = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The formats in which this Model may be exported. If empty,
+  // this Model is not available for export.
+  repeated ExportFormat supported_export_formats = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-  // any.
+  // Output only. The resource name of the TrainingPipeline that uploaded this
+  // Model, if any.
   string training_pipeline = 7 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -179,35 +191,43 @@ message Model {
     }
   ];
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model. The specification is ingested upon
-  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-  // and stored internally by Vertex AI.
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model. The specification is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+  // and all binaries it contains are copied and stored internally by Vertex AI.
   // Not present for AutoML Models.
-  ModelContainerSpec container_spec = 9 [(google.api.field_behavior) = INPUT_ONLY];
+  ModelContainerSpec container_spec = 9
+      [(google.api.field_behavior) = INPUT_ONLY];
 
-  // Immutable. The path to the directory containing the Model artifact and any of its
-  // supporting files.
-  // Not present for AutoML Models.
+  // Immutable. The path to the directory containing the Model artifact and any
+  // of its supporting files. Not present for AutoML Models.
   string artifact_uri = 26 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. When this Model is deployed, its prediction resources are described by the
-  // `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-  // Because not all Models support all resource configuration types, the
-  // configuration types this Model supports are listed here. If no
+  // Output only. When this Model is deployed, its prediction resources are
+  // described by the `prediction_resources` field of the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // object. Because not all Models support all resource configuration types,
+  // the configuration types this Model supports are listed here. If no
   // configuration types are listed, the Model cannot be deployed to an
   // [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-  // online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-  // using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-  // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+  // online predictions
+  // ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
+  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+  // Such a Model can serve predictions by using a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+  // has at least one entry each in
+  // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+  // and
   // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
-  repeated DeploymentResourcesType supported_deployment_resources_types = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeploymentResourcesType supported_deployment_resources_types = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-  // should be given as per that schema.
+  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+  // If
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+  // exists, the instances should be given as per that schema.
   //
   // The possible formats are:
   //
@@ -218,11 +238,13 @@ message Model {
   // * `csv`
   // The CSV format, where each instance is a single comma-separated line.
   // The first line in the file is the header, containing comma-separated field
-  // names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  // names. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record`
   // The TFRecord format, where each instance is a single record in tfrecord
-  // syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  // syntax. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record-gzip`
   // Similar to `tf-record`, but the file is gzipped. Uses
@@ -235,23 +257,31 @@ message Model {
   // * `file-list`
   // Each line of the file is the location of an instance to process, uses
   // `gcs_source` field of the
-  // [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+  // [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+  // object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
-  repeated string supported_input_storage_formats = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_input_storage_formats = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-  // are returned together with their instances. In other words, the
-  // prediction has the original instance data first, followed
-  // by the actual prediction content (as per the schema).
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  // If both
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+  // and
+  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+  // exist, the predictions are returned together with their instances. In other
+  // words, the prediction has the original instance data first, followed by the
+  // actual prediction content (as per the schema).
   //
   // The possible formats are:
   //
@@ -272,44 +302,56 @@ message Model {
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
-  repeated string supported_output_storage_formats = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_output_storage_formats = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was uploaded into Vertex AI.
-  google.protobuf.Timestamp create_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The pointers to DeployedModels created from this Model. Note that
-  // Model could have been deployed to Endpoints in different Locations.
-  repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The pointers to DeployedModels created from this Model. Note
+  // that Model could have been deployed to Endpoints in different Locations.
+  repeated DeployedModelRef deployed_models = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The default explanation specification for this Model.
   //
   // The Model can be used for [requesting
   // explanation][PredictionService.Explain] after being
-  // [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-  // The Model can be used for [batch
+  // [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+  // populated. The Model can be used for [batch
   // explanation][BatchPredictionJob.generate_explanation] if it is populated.
   //
   // All fields of the explanation_spec can be overridden by
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
   //
   // If the default explanation specification is not set for this Model, this
   // Model can still be used for [requesting
   // explanation][PredictionService.Explain] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-  // explanation][BatchPredictionJob.generate_explanation] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+  // and for [batch explanation][BatchPredictionJob.generate_explanation] by
+  // setting
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
   ExplanationSpec explanation_spec = 23;
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
@@ -329,23 +371,28 @@ message Model {
   // Model and all sub-resources of this Model will be secured by this key.
   EncryptionSpec encryption_spec = 24;
 
-  // Output only. Source of a model. It can either be automl training pipeline, custom
-  // training pipeline, BigQuery ML, or existing Vertex AI Model.
-  ModelSourceInfo model_source_info = 38 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Source of a model. It can either be automl training pipeline,
+  // custom training pipeline, BigQuery ML, or existing Vertex AI Model.
+  ModelSourceInfo model_source_info = 38
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Model. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Model. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 44 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Contains the schemata used in Model's predictions and explanations via
-// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
-// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
+// and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
 message PredictSchemata {
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-  // [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single instance, which are used in
+  // [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+  // [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+  // and
   // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -355,9 +402,11 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string instance_schema_uri = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-  // parameters of prediction and explanation via
-  // [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the parameters of prediction and explanation via
+  // [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+  // [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+  // and
   // [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -368,9 +417,12 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string parameters_schema_uri = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single prediction produced by this Model, which are returned via
-  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single prediction produced by this Model, which are
+  // returned via
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+  // [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+  // and
   // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -385,14 +437,16 @@ message PredictSchemata {
 // message correspond to fields in the [Kubernetes Container v1 core
 // specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
 message ModelContainerSpec {
-  // Required. Immutable. URI of the Docker image to be used as the custom container for serving
-  // predictions. This URI must identify an image in Artifact Registry or
-  // Container Registry. Learn more about the [container publishing
+  // Required. Immutable. URI of the Docker image to be used as the custom
+  // container for serving predictions. This URI must identify an image in
+  // Artifact Registry or Container Registry. Learn more about the [container
+  // publishing
   // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
   // including permissions requirements for the Vertex AI Service Agent.
   //
-  // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-  // internally, and this original path is afterwards not used.
+  // The container image is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+  // stored internally, and this original path is afterwards not used.
   //
   // To learn about the requirements for the Docker image itself, see
   // [Custom container
@@ -406,14 +460,15 @@ message ModelContainerSpec {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. Specifies the command that runs when the container starts. This overrides
-  // the container's
+  // Immutable. Specifies the command that runs when the container starts. This
+  // overrides the container's
   // [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
   // Specify this field as an array of executable and arguments, similar to a
   // Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
   //
   // If you do not specify this field, then the container's `ENTRYPOINT` runs,
-  // in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+  // in conjunction with the
+  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
   // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
   // if either exists. If this field is not specified and the container does not
   // have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -429,32 +484,30 @@ message ModelContainerSpec {
   //
   // In this field, you can reference [environment variables set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
-  // following syntax:
-  // <code>$(<var>VARIABLE_NAME</var>)</code>
-  // Note that this differs from Bash variable expansion, which does not use
-  // parentheses. If a variable cannot be resolved, the reference in the input
-  // string is used unchanged. To avoid variable expansion, you can escape this
-  // syntax with `$$`; for example:
-  // <code>$$(<var>VARIABLE_NAME</var>)</code>
-  // This field corresponds to the `command` field of the Kubernetes Containers
-  // [v1 core
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+  // reference environment variables set in the Docker image. In order for
+  // environment variables to be expanded, reference them by using the following
+  // syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+  // from Bash variable expansion, which does not use parentheses. If a variable
+  // cannot be resolved, the reference in the input string is used unchanged. To
+  // avoid variable expansion, you can escape this syntax with `$$`; for
+  // example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+  // to the `command` field of the Kubernetes Containers [v1 core
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string command = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Specifies arguments for the command that runs when the container starts.
-  // This overrides the container's
+  // Immutable. Specifies arguments for the command that runs when the container
+  // starts. This overrides the container's
   // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
   // this field as an array of executable and arguments, similar to a Docker
   // `CMD`'s "default parameters" form.
   //
   // If you don't specify this field but do specify the
-  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-  // `command` field runs without any additional arguments. See the
-  // [Kubernetes documentation about how the
-  // `command` and `args` fields interact with a container's `ENTRYPOINT` and
+  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+  // then the command from the `command` field runs without any additional
+  // arguments. See the [Kubernetes documentation about how the `command` and
+  // `args` fields interact with a container's `ENTRYPOINT` and
   // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
   //
   // If you don't specify this field and don't specify the `command` field,
@@ -467,29 +520,29 @@ message ModelContainerSpec {
   // In this field, you can reference [environment variables
   // set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
-  // following syntax:
-  // <code>$(<var>VARIABLE_NAME</var>)</code>
-  // Note that this differs from Bash variable expansion, which does not use
-  // parentheses. If a variable cannot be resolved, the reference in the input
-  // string is used unchanged. To avoid variable expansion, you can escape this
-  // syntax with `$$`; for example:
-  // <code>$$(<var>VARIABLE_NAME</var>)</code>
-  // This field corresponds to the `args` field of the Kubernetes Containers
-  // [v1 core
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+  // reference environment variables set in the Docker image. In order for
+  // environment variables to be expanded, reference them by using the following
+  // syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+  // from Bash variable expansion, which does not use parentheses. If a variable
+  // cannot be resolved, the reference in the input string is used unchanged. To
+  // avoid variable expansion, you can escape this syntax with `$$`; for
+  // example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+  // to the `args` field of the Kubernetes Containers [v1 core
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string args = 3 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. List of environment variables to set in the container. After the container
-  // starts running, code running in the container can read these environment
-  // variables.
+  // Immutable. List of environment variables to set in the container. After the
+  // container starts running, code running in the container can read these
+  // environment variables.
   //
-  // Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-  // entries in this list can also reference earlier entries. For example, the
-  // following example sets the variable `VAR_2` to have the value `foo bar`:
+  // Additionally, the
+  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+  // reference these variables. Later entries in this list can also reference
+  // earlier entries. For example, the following example sets the variable
+  // `VAR_2` to have the value `foo bar`:
   //
   // ```json
   // [
@@ -535,11 +588,11 @@ message ModelContainerSpec {
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated Port ports = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-  // forwards requests sent using
-  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-  // path on the container's IP address and port. Vertex AI then returns the
-  // container's response in the API response.
+  // Immutable. HTTP path on the container to send prediction requests to.
+  // Vertex AI forwards requests sent using
+  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // to this path on the container's IP address and port. Vertex AI then returns
+  // the container's response in the API response.
   //
   // For example, if you set this field to `/foo`, then when Vertex AI
   // receives a prediction request, it forwards the request body in a POST
@@ -548,7 +601,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
   // <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
   // The placeholders in this value are replaced as follows:
   //
@@ -558,7 +612,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  // * <var>DEPLOYED_MODEL</var>:
+  // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code
   //   as the [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -576,7 +632,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
   // <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
   // The placeholders in this value are replaced as follows:
   //
@@ -586,7 +643,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  // * <var>DEPLOYED_MODEL</var>:
+  // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code as the
   //   [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)

google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto

@@ -118,20 +118,27 @@ message ModelDeploymentMonitoringJob {
   JobState state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Schedule state when the monitoring job is in Running state.
-  MonitoringScheduleState schedule_state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  MonitoringScheduleState schedule_state = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Latest triggered monitoring pipeline metadata.
-  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(google.api.field_behavior) = OUTPUT_ONLY];
+  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. The config for monitoring objectives. This is a per DeployedModel config.
-  // Each DeployedModel needs to be configured separately.
-  repeated ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(google.api.field_behavior) = REQUIRED];
+  // Required. The config for monitoring objectives. This is a per DeployedModel
+  // config. Each DeployedModel needs to be configured separately.
+  repeated ModelDeploymentMonitoringObjectiveConfig
+      model_deployment_monitoring_objective_configs = 6
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Schedule config for running the monitoring job.
-  ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringScheduleConfig
+      model_deployment_monitoring_schedule_config = 7
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Sample Strategy for logging.
-  SamplingStrategy logging_sampling_strategy = 8 [(google.api.field_behavior) = REQUIRED];
+  SamplingStrategy logging_sampling_strategy = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // Alert config for model monitoring.
   ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
@@ -142,10 +149,12 @@ message ModelDeploymentMonitoringJob {
   // requests.
   string predict_instance_schema_uri = 9;
 
-  // Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+  // Sample Predict instance, same format as
+  // [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
   // this can be set as a replacement of
-  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-  // we will generate predict schema from collected predict requests.
+  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+  // If not set, we will generate predict schema from collected predict
+  // requests.
   google.protobuf.Value sample_predict_instance = 19;
 
   // YAML schema file uri describing the format of a single instance that you
@@ -161,12 +170,13 @@ message ModelDeploymentMonitoringJob {
   // fields in predict instance formatted as string.
   string analysis_instance_schema_uri = 16;
 
-  // Output only. The created bigquery tables for the job under customer project. Customer
-  // could do their own query & analysis. There could be 4 log tables in
-  // maximum:
+  // Output only. The created bigquery tables for the job under customer
+  // project. Customer could do their own query & analysis. There could be 4 log
+  // tables in maximum:
   // 1. Training data logging predict request/response
   // 2. Serving data logging predict request/response
-  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The TTL of BigQuery tables in user projects which stores logs.
   // A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
@@ -184,14 +194,18 @@ message ModelDeploymentMonitoringJob {
   map<string, string> labels = 11;
 
   // Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
-  google.protobuf.Timestamp create_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
-  google.protobuf.Timestamp update_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+  // most recently.
+  google.protobuf.Timestamp update_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-  // next round.
-  google.protobuf.Timestamp next_schedule_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this monitoring pipeline will be scheduled to
+  // run for the next round.
+  google.protobuf.Timestamp next_schedule_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Stats anomalies base folder path.
   GcsDestination stats_anomalies_base_directory = 20;
@@ -263,17 +277,19 @@ message ModelDeploymentMonitoringObjectiveConfig {
 
 // The config for scheduling monitoring job.
 message ModelDeploymentMonitoringScheduleConfig {
-  // Required. The model monitoring job scheduling interval. It will be rounded up to next
-  // full hour. This defines how often the monitoring jobs are triggered.
-  google.protobuf.Duration monitor_interval = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The model monitoring job scheduling interval. It will be rounded
+  // up to next full hour. This defines how often the monitoring jobs are
+  // triggered.
+  google.protobuf.Duration monitor_interval = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // The time window of the prediction data being included in each prediction
   // dataset. This window specifies how long the data should be collected from
   // historical model results for each run. If not set,
-  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-  // e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-  // monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-  // to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+  // will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+  // the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+  // 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
   // monitoring statistics.
   google.protobuf.Duration monitor_window = 2;
 }

google/cloud/aiplatform/v1/model_evaluation.proto

@@ -58,8 +58,8 @@ message ModelEvaluation {
   string display_name = 10;
 
   // Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-  // defined as an OpenAPI 3.0.2 [Schema
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+  // ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 2;
 
@@ -68,12 +68,13 @@ message ModelEvaluation {
   google.protobuf.Value metrics = 3;
 
   // Output only. Timestamp when this ModelEvaluation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
   // ModelEvaluationSlices. The dimensions can be used as the filter of the
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-  // `slice.dimension = <dimension>`.
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+  // request, in the form of `slice.dimension = <dimension>`.
   repeated string slice_dimensions = 5;
 
   // Points to a YAML file stored on Google Cloud Storage describing
@@ -104,8 +105,9 @@ message ModelEvaluation {
   //
   ModelExplanation model_explanation = 8;
 
-  // Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-  // the predicted values on the evaluated data.
+  // Describes the values of
+  // [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+  // for explaining the predicted values on the evaluated data.
   repeated ModelEvaluationExplanationSpec explanation_specs = 9;
 
   // The metadata of the ModelEvaluation.

google/cloud/aiplatform/v1/model_evaluation_slice.proto

@@ -42,8 +42,10 @@ message ModelEvaluationSlice {
     // Output only. The dimension of the slice.
     // Well-known dimensions are:
     //   * `annotationSpec`: This slice is on the test data that has either
-    //     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-    //     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+    //     ground truth or prediction with
+    //     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+    //     equals to
+    //     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
     string dimension = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the dimension in this slice.
@@ -56,16 +58,19 @@ message ModelEvaluationSlice {
   // Output only. The slice of the test data that is used to evaluate the Model.
   Slice slice = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-  // schema is defined as an OpenAPI 3.0.2 [Schema
+  // Output only. Points to a YAML file stored on Google Cloud Storage
+  // describing the
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+  // ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-  // in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+  // Output only. Sliced evaluation metrics of the Model. The schema of the
+  // metrics is stored in
+  // [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
   google.protobuf.Value metrics = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this ModelEvaluationSlice was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/model_monitoring.proto

@@ -35,8 +35,8 @@ message ModelMonitoringObjectiveConfig {
     oneof data_source {
       // The resource name of the Dataset used to train this Model.
       string dataset = 3 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
 
       // The Google Cloud Storage uri of the unmanaged Dataset used to train
       // this Model.
@@ -111,8 +111,10 @@ message ModelMonitoringObjectiveConfig {
   // The config for integrating with Vertex Explainable AI. Only applicable if
   // the Model has explanation_spec populated.
   message ExplanationConfig {
-    // Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
-    // which can be used to generate baseline attribution scores.
+    // Output from
+    // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
+    // Model Monitoring baseline dataset, which can be used to generate baseline
+    // attribution scores.
     message ExplanationBaseline {
       // The storage format of the predictions generated BatchPrediction job.
       enum PredictionFormat {
@@ -154,7 +156,8 @@ message ModelMonitoringObjectiveConfig {
   TrainingDataset training_dataset = 1;
 
   // The config for skew between training data and prediction data.
-  TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
+  TrainingPredictionSkewDetectionConfig
+      training_prediction_skew_detection_config = 2;
 
   // The config for drift of prediction data.
   PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

google/cloud/aiplatform/v1/model_service.proto

@@ -39,7 +39,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's machine learning Models.
 service ModelService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Uploads a Model artifact into Vertex AI.
   rpc UploadModel(UploadModelRequest) returns (google.longrunning.Operation) {
@@ -71,7 +72,8 @@ service ModelService {
   }
 
   // Lists versions of the specified model.
-  rpc ListModelVersions(ListModelVersionsRequest) returns (ListModelVersionsResponse) {
+  rpc ListModelVersions(ListModelVersionsRequest)
+      returns (ListModelVersionsResponse) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/models/*}:listVersions"
     };
@@ -89,9 +91,12 @@ service ModelService {
 
   // Deletes a Model.
   //
-  // A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-  // [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+  // A model cannot be deleted if any
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+  // model in its
+  // [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // field.
   rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/models/*}"
@@ -107,8 +112,10 @@ service ModelService {
   //
   // Model version can only be deleted if there are no [DeployedModels][]
   // created from it. Deleting the only version in the Model is not allowed. Use
-  // [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead.
-  rpc DeleteModelVersion(DeleteModelVersionRequest) returns (google.longrunning.Operation) {
+  // [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
+  // deleting the Model instead.
+  rpc DeleteModelVersion(DeleteModelVersionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/models/*}:deleteVersion"
     };
@@ -130,7 +137,8 @@ service ModelService {
 
   // Exports a trained, exportable Model to a location specified by the
   // user. A Model is considered to be exportable if it has at least one
-  // [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+  // [supported export
+  // format][google.cloud.aiplatform.v1.Model.supported_export_formats].
   rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/models/*}:export"
@@ -144,7 +152,8 @@ service ModelService {
   }
 
   // Imports an externally generated ModelEvaluation.
-  rpc ImportModelEvaluation(ImportModelEvaluationRequest) returns (ModelEvaluation) {
+  rpc ImportModelEvaluation(ImportModelEvaluationRequest)
+      returns (ModelEvaluation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/models/*}/evaluations:import"
       body: "*"
@@ -153,7 +162,8 @@ service ModelService {
   }
 
   // Imports a list of externally generated ModelEvaluationSlice.
-  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest) returns (BatchImportModelEvaluationSlicesResponse) {
+  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest)
+      returns (BatchImportModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport"
       body: "*"
@@ -170,7 +180,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluations in a Model.
-  rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) {
+  rpc ListModelEvaluations(ListModelEvaluationsRequest)
+      returns (ListModelEvaluationsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/models/*}/evaluations"
     };
@@ -178,7 +189,8 @@ service ModelService {
   }
 
   // Gets a ModelEvaluationSlice.
-  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest) returns (ModelEvaluationSlice) {
+  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest)
+      returns (ModelEvaluationSlice) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/models/*/evaluations/*/slices/*}"
     };
@@ -186,7 +198,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluationSlices in a ModelEvaluation.
-  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest) returns (ListModelEvaluationSlicesResponse) {
+  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest)
+      returns (ListModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices"
     };
@@ -194,7 +207,8 @@ service ModelService {
   }
 }
 
-// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+// Request message for
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
 message UploadModelRequest {
   // Required. The resource name of the Location into which to upload the Model.
   // Format: `projects/{project}/locations/{location}`
@@ -205,8 +219,8 @@ message UploadModelRequest {
     }
   ];
 
-  // Optional. The resource name of the model into which to upload the version. Only
-  // specify this field when uploading a new version.
+  // Optional. The resource name of the model into which to upload the version.
+  // Only specify this field when uploading a new version.
   string parent_model = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The ID to use for the uploaded Model, which will become the final
@@ -229,25 +243,30 @@ message UploadModelRequest {
   string service_account = 6 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+// Details of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+// operation.
 message UploadModelOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+// Response message of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+// operation.
 message UploadModelResponse {
   // The name of the uploaded Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
   string model = 1 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
   // Output only. The version ID of the model that is uploaded.
   string model_version_id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+// Request message for
+// [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
 message GetModelRequest {
   // Required. The name of the Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -269,7 +288,8 @@ message GetModelRequest {
   ];
 }
 
-// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+// Request message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
 message ListModelsRequest {
   // Required. The resource name of the Location to list the Models from.
   // Format: `projects/{project}/locations/{location}`
@@ -284,7 +304,8 @@ message ListModelsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `model` supports = and !=. `model` represents the Model ID,
-  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+  //     i.e. the last segment of the Model's [resource
+  //     name][google.cloud.aiplatform.v1.Model.name].
   //   * `display_name` supports = and !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -303,8 +324,10 @@ message ListModelsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-  // [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
@@ -322,17 +345,21 @@ message ListModelsRequest {
   string order_by = 6;
 }
 
-// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+// Response message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
 message ListModelsResponse {
   // List of Models in the requested page.
   repeated Model models = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
+// Request message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
 message ListModelVersionsRequest {
   // Required. The name of the model to list versions for.
   string name = 1 [
@@ -347,8 +374,8 @@ message ListModelVersionsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-  // [ModelService.ListModelversions][] call.
+  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+  // of the previous [ModelService.ListModelversions][] call.
   string page_token = 3;
 
   // An expression for filtering the results of the request. For field names
@@ -366,9 +393,20 @@ message ListModelVersionsRequest {
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //
+  //   * `create_time`
+  //   * `update_time`
+  //
+  // Example: `update_time asc, create_time desc`.
+  string order_by = 6;
 }
 
-// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
+// Response message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
 message ListModelVersionsResponse {
   // List of Model versions in the requested page.
   // In the returned Model name field, version ID instead of regvision tag will
@@ -376,11 +414,14 @@ message ListModelVersionsResponse {
   repeated Model models = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+// Request message for
+// [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
 message UpdateModelRequest {
   // Required. The Model which replaces the resource on the server.
   // When Model Versioning is enabled, the model.name will be used to determine
@@ -403,11 +444,14 @@ message UpdateModelRequest {
   Model model = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+// Request message for
+// [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
 message DeleteModelRequest {
   // Required. The name of the Model resource to be deleted.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -419,10 +463,11 @@ message DeleteModelRequest {
   ];
 }
 
-// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
+// Request message for
+// [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
 message DeleteModelVersionRequest {
-  // Required. The name of the model version to be deleted, with a version ID explicitly
-  // included.
+  // Required. The name of the model version to be deleted, with a version ID
+  // explicitly included.
   //
   // Example: `projects/{project}/locations/{location}/models/{model}@1234`
   string name = 1 [
@@ -433,7 +478,8 @@ message DeleteModelVersionRequest {
   ];
 }
 
-// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
+// Request message for
+// [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
 message MergeVersionAliasesRequest {
   // Required. The name of the model version to merge aliases, with a version ID
   // explicitly included.
@@ -461,13 +507,15 @@ message MergeVersionAliasesRequest {
   repeated string version_aliases = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+// Request message for
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
 message ExportModelRequest {
   // Output configuration for the Model export.
   message OutputConfig {
     // The ID of the format in which the Model must be exported. Each Model
-    // lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-    // If no value is provided here, then the first from the list of the Model's
+    // lists the [export formats it
+    // supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+    // no value is provided here, then the first from the list of the Model's
     // supported formats is used by default.
     string export_format_id = 1;
 
@@ -502,34 +550,38 @@ message ExportModelRequest {
   OutputConfig output_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+// Details of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+// operation.
 message ExportModelOperationMetadata {
   // Further describes the output of the ExportModel. Supplements
   // [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
   message OutputInfo {
-    // Output only. If the Model artifact is being exported to Google Cloud Storage this is
-    // the full path of the directory created, into which the Model files are
-    // being written to.
+    // Output only. If the Model artifact is being exported to Google Cloud
+    // Storage this is the full path of the directory created, into which the
+    // Model files are being written to.
     string artifact_output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. If the Model image is being exported to Google Container Registry or
-    // Artifact Registry this is the full path of the image created.
+    // Output only. If the Model image is being exported to Google Container
+    // Registry or Artifact Registry this is the full path of the image created.
     string image_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 
-  // Output only. Information further describing the output of this Model export.
+  // Output only. Information further describing the output of this Model
+  // export.
   OutputInfo output_info = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
-message ExportModelResponse {
-
-}
+// Response message of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+// operation.
+message ExportModelResponse {}
 
-// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
+// Request message for
+// [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
 message ImportModelEvaluationRequest {
   // Required. The name of the parent model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -544,7 +596,8 @@ message ImportModelEvaluationRequest {
   ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+// Request message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesRequest {
   // Required. The name of the parent ModelEvaluation resource.
   // Format:
@@ -557,16 +610,21 @@ message BatchImportModelEvaluationSlicesRequest {
   ];
 
   // Required. Model evaluation slice resource to be imported.
-  repeated ModelEvaluationSlice model_evaluation_slices = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ModelEvaluationSlice model_evaluation_slices = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+// Response message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesResponse {
-  // Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
-  repeated string imported_model_evaluation_slices = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. List of imported
+  // [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+  repeated string imported_model_evaluation_slices = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+// Request message for
+// [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.
   // Format:
@@ -579,7 +637,8 @@ message GetModelEvaluationRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+// Request message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsRequest {
   // Required. The resource name of the Model to list the ModelEvaluations from.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -598,25 +657,31 @@ message ListModelEvaluationsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+// Response message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluation model_evaluations = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+// Request message for
+// [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
 message GetModelEvaluationSliceRequest {
   // Required. The name of the ModelEvaluationSlice resource.
   // Format:
@@ -629,10 +694,11 @@ message GetModelEvaluationSliceRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+// Request message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesRequest {
-  // Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-  // from. Format:
+  // Required. The resource name of the ModelEvaluation to list the
+  // ModelEvaluationSlices from. Format:
   // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -651,21 +717,25 @@ message ListModelEvaluationSlicesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+// Response message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluationSlice model_evaluation_slices = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }

google/cloud/aiplatform/v1/operation.proto

@@ -34,15 +34,18 @@ message GenericOperationMetadata {
   // E.g. single files that couldn't be read.
   // This field should never exceed 20 entries.
   // Status details field will contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was updated for the last time.
   // If the operation has finished (successfully or not), this is the finish
   // time.
-  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Details of operations that perform deletes of any entities.

google/cloud/aiplatform/v1/pipeline_job.proto

@@ -62,16 +62,18 @@ message PipelineJob {
       }
     }
 
-    // Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-    // parameters of the PipelineJob. The parameters will be passed into
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-    // This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-    // pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+    // Deprecated. Use
+    // [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+    // instead. The runtime parameters of the PipelineJob. The parameters will
+    // be passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+    // such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
     map<string, Value> parameters = 1 [deprecated = true];
 
-    // Required. A path in a Cloud Storage bucket, which will be treated as the root
-    // output directory of the pipeline. It is used by the system to
+    // Required. A path in a Cloud Storage bucket, which will be treated as the
+    // root output directory of the pipeline. It is used by the system to
     // generate the paths of output artifacts. The artifact paths are generated
     // with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
     // specified output directory. The service account specified in this
@@ -80,10 +82,12 @@ message PipelineJob {
     string gcs_output_directory = 2 [(google.api.field_behavior) = REQUIRED];
 
     // The runtime parameters of the PipelineJob. The parameters will be
-    // passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-    // at runtime. This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-    // using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+    // passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+    // pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+    // DSL.
     map<string, google.protobuf.Value> parameter_values = 3;
 
     // Represents the failure policy of a pipeline. Currently, the default of a
@@ -108,16 +112,20 @@ message PipelineJob {
   string display_name = 2;
 
   // Output only. Pipeline creation time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this PipelineJob was most recently updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The spec of the pipeline.
   google.protobuf.Struct pipeline_spec = 7;
@@ -172,27 +180,32 @@ message PipelineJob {
   // resources being launched, if applied, such as Vertex AI
   // Training or Dataflow job. If left unspecified, the workload is not peered
   // with any network.
-  string network = 18 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 18 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
-  // A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-  // be downloaded.
+  // A template uri from where the
+  // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+  // if empty, will be downloaded.
   string template_uri = 19;
 
   // Output only. Pipeline template metadata. Will fill up fields if
-  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
-  PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+  // is from supported template registry.
+  PipelineTemplateMetadata template_metadata = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported
-// template registry. Currently, the only supported registry is Artifact
-// Registry.
+// Pipeline template metadata if
+// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+// is from supported template registry. Currently, the only supported registry
+// is Artifact Registry.
 message PipelineTemplateMetadata {
   // The version_name in artifact registry.
   //
-  // Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-  // from supported template registry.
+  // Will always be presented in output if the
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+  // is from supported template registry.
   //
   // Format is "sha256:abcdef123456...".
   string version = 3;
@@ -207,7 +220,8 @@ message PipelineJobDetail {
   Context pipeline_run_context = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime details of the tasks under the pipeline.
-  repeated PipelineTaskDetail task_details = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated PipelineTaskDetail task_details = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a task execution.
@@ -215,17 +229,17 @@ message PipelineTaskDetail {
   // A single record of the task status.
   message PipelineTaskStatus {
     // Output only. Update time of this status.
-    google.protobuf.Timestamp update_time = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp update_time = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The state of the task.
     State state = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The error that occurred during the state. May be set when the state is
-    // any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-    // If the state is FAILED, the error here is final and not going to be
-    // retried.
-    // If the state is a non-final state, the error indicates a system-error
-    // being retried.
+    // Output only. The error that occurred during the state. May be set when
+    // the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+    // FAILED state. If the state is FAILED, the error here is final and not
+    // going to be retried. If the state is a non-final state, the error
+    // indicates a system-error being retried.
     google.rpc.Status error = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
@@ -266,15 +280,16 @@ message PipelineTaskDetail {
 
     // Specifies that the task was not triggered because the task's trigger
     // policy is not satisfied. The trigger policy is specified in the
-    // `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
+    // `condition` field of
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
     NOT_TRIGGERED = 9;
   }
 
   // Output only. The system generated ID of the task.
   int64 task_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The id of the parent task if the task is within a component scope.
-  // Empty if the task is at the root level.
+  // Output only. The id of the parent task if the task is within a component
+  // scope. Empty if the task is at the root level.
   int64 parent_task_id = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The user specified name of the task that is defined in
@@ -282,16 +297,20 @@ message PipelineTaskDetail {
   string task_name = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task create time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The detailed execution info.
-  PipelineTaskExecutorDetail executor_detail = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  PipelineTaskExecutorDetail executor_detail = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. State of the task.
   State state = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -303,15 +322,18 @@ message PipelineTaskDetail {
   // Only populated when the task's state is FAILED or CANCELLED.
   google.rpc.Status error = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of task status. This field keeps a record of task status evolving
-  // over time.
-  repeated PipelineTaskStatus pipeline_task_status = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. A list of task status. This field keeps a record of task
+  // status evolving over time.
+  repeated PipelineTaskStatus pipeline_task_status = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime input artifacts of the task.
-  map<string, ArtifactList> inputs = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map<string, ArtifactList> inputs = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime output artifacts of the task.
-  map<string, ArtifactList> outputs = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map<string, ArtifactList> outputs = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a pipeline executor.
@@ -319,7 +341,9 @@ message PipelineTaskExecutorDetail {
   // The detail of a container execution. It contains the job names of the
   // lifecycle of a container execution.
   message ContainerDetail {
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+    // execution.
     string main_job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -327,10 +351,11 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-    // execution. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+    // pre-caching-check container execution. This job will be available if the
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events.
     string pre_caching_check_job = 2 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -338,23 +363,28 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
     // executions. The list includes the all attempts in chronological order.
-    repeated string failed_main_jobs = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated string failed_main_jobs = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
     // pre-caching-check container executions. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
-    // The list includes the all attempts in chronological order.
-    repeated string failed_pre_caching_check_jobs = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events. The list
+    // includes the all attempts in chronological order.
+    repeated string failed_pre_caching_check_jobs = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The detailed info for a custom job executor.
   message CustomJobDetail {
     option deprecated = true;
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob].
     string job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -365,12 +395,11 @@ message PipelineTaskExecutorDetail {
 
   oneof details {
     // Output only. The detailed info for a container executor.
-    ContainerDetail container_detail = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    ContainerDetail container_detail = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The detailed info for a custom job executor.
-    CustomJobDetail custom_job_detail = 2 [
-      deprecated = true,
-      (google.api.field_behavior) = OUTPUT_ONLY
-    ];
+    CustomJobDetail custom_job_detail = 2
+        [deprecated = true, (google.api.field_behavior) = OUTPUT_ONLY];
   }
 }

google/cloud/aiplatform/v1/pipeline_service.proto

@@ -39,11 +39,13 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // `PipelineJob` resources (used for Vertex AI Pipelines).
 service PipelineService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a TrainingPipeline. A created TrainingPipeline right away will be
   // attempted to be run.
-  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
       body: "training_pipeline"
@@ -52,7 +54,8 @@ service PipelineService {
   }
 
   // Gets a TrainingPipeline.
-  rpc GetTrainingPipeline(GetTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc GetTrainingPipeline(GetTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -60,7 +63,8 @@ service PipelineService {
   }
 
   // Lists TrainingPipelines in a Location.
-  rpc ListTrainingPipelines(ListTrainingPipelinesRequest) returns (ListTrainingPipelinesResponse) {
+  rpc ListTrainingPipelines(ListTrainingPipelinesRequest)
+      returns (ListTrainingPipelinesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
     };
@@ -68,7 +72,8 @@ service PipelineService {
   }
 
   // Deletes a TrainingPipeline.
-  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -82,14 +87,19 @@ service PipelineService {
   // Cancels a TrainingPipeline.
   // Starts asynchronous cancellation on the TrainingPipeline. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the TrainingPipeline is not deleted; instead it becomes a pipeline with
-  // a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
-  // `CANCELLED`.
-  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest) returns (google.protobuf.Empty) {
+  // a
+  // [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
+  // is set to `CANCELLED`.
+  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/trainingPipelines/*}:cancel"
       body: "*"
@@ -103,7 +113,8 @@ service PipelineService {
       post: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
       body: "pipeline_job"
     };
-    option (google.api.method_signature) = "parent,pipeline_job,pipeline_job_id";
+    option (google.api.method_signature) =
+        "parent,pipeline_job,pipeline_job_id";
   }
 
   // Gets a PipelineJob.
@@ -115,7 +126,8 @@ service PipelineService {
   }
 
   // Lists PipelineJobs in a Location.
-  rpc ListPipelineJobs(ListPipelineJobsRequest) returns (ListPipelineJobsResponse) {
+  rpc ListPipelineJobs(ListPipelineJobsRequest)
+      returns (ListPipelineJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
     };
@@ -123,7 +135,8 @@ service PipelineService {
   }
 
   // Deletes a PipelineJob.
-  rpc DeletePipelineJob(DeletePipelineJobRequest) returns (google.longrunning.Operation) {
+  rpc DeletePipelineJob(DeletePipelineJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
     };
@@ -137,14 +150,18 @@ service PipelineService {
   // Cancels a PipelineJob.
   // Starts asynchronous cancellation on the PipelineJob. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the PipelineJob is not deleted; instead it becomes a pipeline with
-  // a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
+  // a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
+  // with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
+  // to `Code.CANCELLED`, and
+  // [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
   // `CANCELLED`.
-  rpc CancelPipelineJob(CancelPipelineJobRequest) returns (google.protobuf.Empty) {
+  rpc CancelPipelineJob(CancelPipelineJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/pipelineJobs/*}:cancel"
       body: "*"
@@ -153,10 +170,11 @@ service PipelineService {
   }
 }
 
-// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+// Request message for
+// [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
 message CreateTrainingPipelineRequest {
-  // Required. The resource name of the Location to create the TrainingPipeline in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the TrainingPipeline
+  // in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -165,10 +183,12 @@ message CreateTrainingPipelineRequest {
   ];
 
   // Required. The TrainingPipeline to create.
-  TrainingPipeline training_pipeline = 2 [(google.api.field_behavior) = REQUIRED];
+  TrainingPipeline training_pipeline = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+// Request message for
+// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
 message GetTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource.
   // Format:
@@ -181,10 +201,11 @@ message GetTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+// Request message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
 message ListTrainingPipelinesRequest {
-  // Required. The resource name of the Location to list the TrainingPipelines from.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the TrainingPipelines
+  // from. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -219,25 +240,31 @@ message ListTrainingPipelinesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+// Response message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
 message ListTrainingPipelinesResponse {
   // List of TrainingPipelines in the requested page.
   repeated TrainingPipeline training_pipelines = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+// Request message for
+// [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
 message DeleteTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource to be deleted.
   // Format:
@@ -250,7 +277,8 @@ message DeleteTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+// Request message for
+// [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
 message CancelTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline to cancel.
   // Format:
@@ -263,7 +291,8 @@ message CancelTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
+// Request message for
+// [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
 message CreatePipelineJobRequest {
   // Required. The resource name of the Location to create the PipelineJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -286,7 +315,8 @@ message CreatePipelineJobRequest {
   string pipeline_job_id = 3;
 }
 
-// Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
+// Request message for
+// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
 message GetPipelineJobRequest {
   // Required. The name of the PipelineJob resource.
   // Format:
@@ -299,7 +329,8 @@ message GetPipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
+// Request message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
 message ListPipelineJobsRequest {
   // Required. The resource name of the Location to list the PipelineJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -351,8 +382,10 @@ message ListPipelineJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+  // call.
   string page_token = 4;
 
   // A comma-separated list of fields to order by. The default sort order is in
@@ -374,17 +407,21 @@ message ListPipelineJobsRequest {
   google.protobuf.FieldMask read_mask = 7;
 }
 
-// Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+// Response message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
 message ListPipelineJobsResponse {
   // List of PipelineJobs in the requested page.
   repeated PipelineJob pipeline_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
+// Request message for
+// [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
 message DeletePipelineJobRequest {
   // Required. The name of the PipelineJob resource to be deleted.
   // Format:
@@ -397,7 +434,8 @@ message DeletePipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
+// Request message for
+// [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
 message CancelPipelineJobRequest {
   // Required. The name of the PipelineJob to cancel.
   // Format:

google/cloud/aiplatform/v1/prediction_service.proto

@@ -35,7 +35,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for online predictions and explanations.
 service PredictionService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Perform an online prediction.
   rpc Predict(PredictRequest) returns (PredictResponse) {
@@ -50,11 +51,13 @@ service PredictionService {
   //
   // The response includes the following HTTP headers:
   //
-  // * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+  // * `X-Vertex-AI-Endpoint-Id`: ID of the
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
   // prediction.
   //
-  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-  // that served this prediction.
+  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
+  // prediction.
   rpc RawPredict(RawPredictRequest) returns (google.api.HttpBody) {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:rawPredict"
@@ -65,10 +68,12 @@ service PredictionService {
 
   // Perform an online explanation.
   //
-  // If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-  // the corresponding DeployModel must have
+  // If
+  // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+  // is specified, the corresponding DeployModel must have
   // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-  // populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+  // populated. If
+  // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
   // is not specified, all DeployedModels must have
   // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
   // populated. Only deployed AutoML tabular Models have
@@ -78,11 +83,13 @@ service PredictionService {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:explain"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,instances,parameters,deployed_model_id";
+    option (google.api.method_signature) =
+        "endpoint,instances,parameters,deployed_model_id";
   }
 }
 
-// Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+// Request message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
 message PredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -103,16 +110,19 @@ message PredictRequest {
   // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 3;
 }
 
-// Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+// Response message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
 message PredictResponse {
   // The predictions that are the output of the predictions call.
   // The schema of any single prediction may be specified via Endpoint's
@@ -124,8 +134,8 @@ message PredictResponse {
   // ID of the Endpoint's DeployedModel that served this prediction.
   string deployed_model_id = 2;
 
-  // Output only. The resource name of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The resource name of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model = 3 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -133,16 +143,18 @@ message PredictResponse {
     }
   ];
 
-  // Output only. The version ID of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The version ID of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model_version_id = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-  // the DeployedModel that this prediction hits.
+  // Output only. The [display
+  // name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+  // deployed as the DeployedModel that this prediction hits.
   string model_display_name = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
+// Request message for
+// [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
 message RawPredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -156,21 +168,24 @@ message RawPredictRequest {
 
   // The prediction input. Supports HTTP headers and arbitrary data payload.
   //
-  // A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-  // supports per request. When this limit it is exceeded for an AutoML model,
-  // the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-  // When this limit is exceeded for a custom-trained model, the behavior varies
-  // depending on the model.
+  // A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+  // upper limit on the number of instances it supports per request. When this
+  // limit it is exceeded for an AutoML model, the
+  // [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+  // method returns an error. When this limit is exceeded for a custom-trained
+  // model, the behavior varies depending on the model.
   //
   // You can specify the schema for each instance in the
   // [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-  // field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-  // `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+  // field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+  // schema applies when you deploy the `Model` as a `DeployedModel` to an
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
   // method.
   google.api.HttpBody http_body = 2;
 }
 
-// Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+// Request message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
 message ExplainRequest {
   // Required. The name of the Endpoint requested to serve the explanation.
   // Format:
@@ -191,18 +206,20 @@ message ExplainRequest {
   // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
   // If specified, overrides the
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-  // Can be used for explaining prediction results with different
-  // configurations, such as:
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of the DeployedModel. Can be used for explaining prediction results with
+  // different configurations, such as:
   //  - Explaining top-5 predictions results as opposed to top-1;
   //  - Increasing path count or step count of the attribution methods to reduce
   //    approximate errors;
@@ -210,22 +227,27 @@ message ExplainRequest {
   ExplanationSpecOverride explanation_spec_override = 5;
 
   // If specified, this ExplainRequest will be served by the chosen
-  // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+  // DeployedModel, overriding
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
   string deployed_model_id = 3;
 }
 
-// Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+// Response message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
 message ExplainResponse {
-  // The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+  // The explanations of the Model's
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
   //
-  // It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-  // to be explained.
+  // It has the same number of elements as
+  // [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+  // explained.
   repeated Explanation explanations = 1;
 
   // ID of the Endpoint's DeployedModel that served this explanation.
   string deployed_model_id = 2;
 
   // The predictions that are the output of the predictions call.
-  // Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+  // Same as
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
   repeated google.protobuf.Value predictions = 3;
 }

google/cloud/aiplatform/v1/saved_query.proto

@@ -49,10 +49,12 @@ message SavedQuery {
   google.protobuf.Value metadata = 12;
 
   // Output only. Timestamp when this SavedQuery was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when SavedQuery was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Filters on the Annotations in the dataset.
   string annotation_filter = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -79,7 +81,7 @@ message SavedQuery {
   // "overwrite" update happens.
   string etag = 8;
 
-  // Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-  // training.
+  // Output only. If the Annotations belonging to the SavedQuery can be used for
+  // AutoML training.
   bool support_automl_training = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/specialist_pool.proto

@@ -49,13 +49,15 @@ message SpecialistPool {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. The number of managers in this SpecialistPool.
-  int32 specialist_managers_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  int32 specialist_managers_count = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of the managers in the SpecialistPool.
   repeated string specialist_manager_emails = 4;
 
   // Output only. The resource name of the pending data labeling jobs.
-  repeated string pending_data_labeling_jobs = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string pending_data_labeling_jobs = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of workers in the SpecialistPool.
   repeated string specialist_worker_emails = 7;

google/cloud/aiplatform/v1/specialist_pool_service.proto

@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // CrowdCompute console.
 service SpecialistPoolService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a SpecialistPool.
-  rpc CreateSpecialistPool(CreateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc CreateSpecialistPool(CreateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/specialistPools"
       body: "specialist_pool"
@@ -65,7 +67,8 @@ service SpecialistPoolService {
   }
 
   // Lists SpecialistPools in a Location.
-  rpc ListSpecialistPools(ListSpecialistPoolsRequest) returns (ListSpecialistPoolsResponse) {
+  rpc ListSpecialistPools(ListSpecialistPoolsRequest)
+      returns (ListSpecialistPoolsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/specialistPools"
     };
@@ -73,7 +76,8 @@ service SpecialistPoolService {
   }
 
   // Deletes a SpecialistPool as well as all Specialists in the pool.
-  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/specialistPools/*}"
     };
@@ -85,7 +89,8 @@ service SpecialistPoolService {
   }
 
   // Updates a SpecialistPool.
-  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{specialist_pool.name=projects/*/locations/*/specialistPools/*}"
       body: "specialist_pool"
@@ -98,7 +103,8 @@ service SpecialistPoolService {
   }
 }
 
-// Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
 message CreateSpecialistPoolRequest {
   // Required. The parent Project name for the new SpecialistPool.
   // The form is `projects/{project}/locations/{location}`.
@@ -120,7 +126,8 @@ message CreateSpecialistPoolOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+// Request message for
+// [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
 message GetSpecialistPoolRequest {
   // Required. The name of the SpecialistPool resource.
   // The form is
@@ -133,7 +140,8 @@ message GetSpecialistPoolRequest {
   ];
 }
 
-// Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+// Request message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsRequest {
   // Required. The name of the SpecialistPool's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -148,16 +156,19 @@ message ListSpecialistPoolsRequest {
   int32 page_size = 2;
 
   // The standard list page token.
-  // Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-  // the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-  // first page if empty.
+  // Typically obtained by
+  // [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+  // of the previous
+  // [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+  // call. Return first page if empty.
   string page_token = 3;
 
   // Mask specifying which fields to read. FieldMask represents a set of
   google.protobuf.FieldMask read_mask = 4;
 }
 
-// Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+// Response message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsResponse {
   // A list of SpecialistPools that matches the specified filter in the request.
   repeated SpecialistPool specialist_pools = 1;
@@ -166,7 +177,8 @@ message ListSpecialistPoolsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+// Request message for
+// [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
 message DeleteSpecialistPoolRequest {
   // Required. The resource name of the SpecialistPool to delete. Format:
   // `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
@@ -183,20 +195,22 @@ message DeleteSpecialistPoolRequest {
   bool force = 2;
 }
 
-// Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolRequest {
   // Required. The SpecialistPool which replaces the resource on the server.
   SpecialistPool specialist_pool = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Runtime operation metadata for
 // [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolOperationMetadata {
-  // Output only. The name of the SpecialistPool to which the specialists are being added.
-  // Format:
+  // Output only. The name of the SpecialistPool to which the specialists are
+  // being added. Format:
   // `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
   string specialist_pool = 1 [
     (google.api.field_behavior) = OUTPUT_ONLY,

google/cloud/aiplatform/v1/study.proto

@@ -67,7 +67,8 @@ message Study {
   State state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time at which the study was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. A human readable reason why the Study is inactive.
   // This should be empty if a study is ACTIVE or COMPLETED.
@@ -86,7 +87,8 @@ message Trial {
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
-    // [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+    // [StudySpec's
+    // Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
     string parameter_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the parameter.
@@ -139,17 +141,21 @@ message Trial {
   // Output only. A list of measurements that are strictly lexicographically
   // ordered by their induced tuples (steps, elapsed_duration).
   // These are used for early stopping computations.
-  repeated Measurement measurements = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated Measurement measurements = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the Trial was started.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the Trial's status changed to `SUCCEEDED` or
+  // `INFEASIBLE`.
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The identifier of the client that originally requested this Trial.
-  // Each client is identified by a unique client_id. When a client
-  // asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+  // Output only. The identifier of the client that originally requested this
+  // Trial. Each client is identified by a unique client_id. When a client asks
+  // for a suggestion, Vertex AI Vizier will assign it a Trial. The client
   // should evaluate the Trial, complete it, and report back to Vertex AI
   // Vizier. If suggestion is asked again by same client_id before the Trial is
   // completed, the same Trial will be returned. Multiple clients with
@@ -173,9 +179,11 @@ message Trial {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if this trial is part of
-  // a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-  // is `true`.
+  // a
+  // [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+  // and the job's
+  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+  // field is `true`.
   //
   // The keys are names of each node used for the trial; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -183,7 +191,8 @@ message Trial {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map<string, string> web_access_uris = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map<string, string> web_access_uris = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents specification of a Study.
@@ -202,8 +211,8 @@ message StudySpec {
       MINIMIZE = 2;
     }
 
-    // Required. The ID of the metric. Must not contain whitespaces and must be unique
-    // amongst all MetricSpecs.
+    // Required. The ID of the metric. Must not contain whitespaces and must be
+    // unique amongst all MetricSpecs.
     string metric_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Required. The optimization goal of the metric.
@@ -298,8 +307,8 @@ message StudySpec {
 
       // Represents the spec to match categorical values from parent parameter.
       message CategoricalValueCondition {
-        // Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-        // All values must exist in `categorical_value_spec` of parent
+        // Required. Matches values of the parent parameter of 'CATEGORICAL'
+        // type. All values must exist in `categorical_value_spec` of parent
         // parameter.
         repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
       }
@@ -357,8 +366,8 @@ message StudySpec {
       DiscreteValueSpec discrete_value_spec = 5;
     }
 
-    // Required. The ID of the parameter. Must not contain whitespaces and must be unique
-    // amongst all ParameterSpecs.
+    // Required. The ID of the parameter. Must not contain whitespaces and must
+    // be unique amongst all ParameterSpecs.
     string parameter_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // How the parameter should be scaled.
@@ -379,9 +388,11 @@ message StudySpec {
   // Trial. Early stopping is requested for the current Trial if there is very
   // low probability to exceed the optimal value found so far.
   message DecayCurveAutomatedStoppingSpec {
-    // True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-    // Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-    // as the x-axis.
+    // True if
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+    // is used as the x-axis of each Trials Decay Curve. Otherwise,
+    // [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+    // will be used as the x-axis.
     bool use_elapsed_duration = 1;
   }
 
@@ -392,9 +403,10 @@ message StudySpec {
   // values reported by the Trial in each measurement.
   message MedianAutomatedStoppingSpec {
     // True if median automated stopping rule applies on
-    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-    // field of latest measurement of current Trial is used to compute median
-    // objective value for each completed Trials.
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+    // It means that elapsed_duration field of latest measurement of current
+    // Trial is used to compute median objective value for each completed
+    // Trials.
     bool use_elapsed_duration = 1;
   }
 
@@ -444,6 +456,15 @@ message StudySpec {
     // min_num_steps are overloaded to contain max_elapsed_seconds and
     // min_elapsed_seconds.
     bool use_elapsed_duration = 5;
+
+    // ConvexAutomatedStoppingSpec by default only updates the trials that needs
+    // to be early stopped using a newly trained auto-regressive model. When
+    // this flag is set to True, all stopped trials from the beginning are
+    // potentially updated in terms of their `final_measurement`. Also, note
+    // that the training logic of autoregressive models is different in this
+    // case. Enabling this option has shown better results and this may be the
+    // default option in the future.
+    optional bool update_all_stopped_trials = 6;
   }
 
   // The available search algorithms for the Study.
@@ -518,7 +539,8 @@ message StudySpec {
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The set of parameters to tune.
-  repeated ParameterSpec parameters = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ParameterSpec parameters = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
@@ -546,14 +568,16 @@ message Measurement {
     double value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Time that the Trial has been running at the point of this Measurement.
-  google.protobuf.Duration elapsed_duration = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time that the Trial has been running at the point of this
+  // Measurement.
+  google.protobuf.Duration elapsed_duration = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of steps the machine learning model has been trained for.
-  // Must be non-negative.
+  // Output only. The number of steps the machine learning model has been
+  // trained for. Must be non-negative.
   int64 step_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of metrics got by evaluating the objective functions using suggested
-  // Parameter values.
+  // Output only. A list of metrics got by evaluating the objective functions
+  // using suggested Parameter values.
   repeated Metric metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/tensorboard.proto

@@ -54,18 +54,21 @@ message Tensorboard {
   // this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-  // can either be a bucket or directory. Does not end with a '/'.
-  string blob_storage_path_prefix = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Consumer project Cloud Storage path prefix used to store blob
+  // data, which can either be a bucket or directory. Does not end with a '/'.
+  string blob_storage_path_prefix = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The number of Runs stored in this Tensorboard.
   int32 run_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Tensorboards.
   //

google/cloud/aiplatform/v1/tensorboard_data.proto

@@ -30,19 +30,21 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 
 // All the data stored in a TensorboardTimeSeries.
 message TimeSeriesData {
-  // Required. The ID of the TensorboardTimeSeries, which will become the final component
-  // of the TensorboardTimeSeries' resource name
-  string tensorboard_time_series_id = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The ID of the TensorboardTimeSeries, which will become the final
+  // component of the TensorboardTimeSeries' resource name
+  string tensorboard_time_series_id = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Immutable. The value type of this time series. All the values in this time series data
-  // must match this value type.
+  // Required. Immutable. The value type of this time series. All the values in
+  // this time series data must match this value type.
   TensorboardTimeSeries.ValueType value_type = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
   // Required. Data points in this time series.
-  repeated TimeSeriesDataPoint values = 3 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesDataPoint values = 3
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // A TensorboardTimeSeries data point.
@@ -78,7 +80,8 @@ message TensorboardTensor {
   // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
   bytes value = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+  // Optional. Version number of TensorProto used to serialize
+  // [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
   int32 version_number = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
@@ -91,8 +94,8 @@ message TensorboardBlobSequence {
 
 // One blob (e.g, image, graph) viewable on a blob metric plot.
 message TensorboardBlob {
-  // Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-  // stored in the Cloud Storage bucket of the consumer project.
+  // Output only. A URI safe key uniquely identifying a blob. Can be used to
+  // locate the blob stored in the Cloud Storage bucket of the consumer project.
   string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The bytes of the blob is not present unless it's returned by the

google/cloud/aiplatform/v1/tensorboard_experiment.proto

@@ -48,10 +48,12 @@ message TensorboardExperiment {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardExperiment was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardExperiment was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Datasets.
   //
@@ -73,6 +75,7 @@ message TensorboardExperiment {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+  // Immutable. Source of the TensorboardExperiment. Example: a custom training
+  // job.
   string source = 8 [(google.api.field_behavior) = IMMUTABLE];
 }

google/cloud/aiplatform/v1/tensorboard_run.proto

@@ -50,10 +50,12 @@ message TensorboardRun {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardRun was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardRun was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your TensorboardRuns.
   //

google/cloud/aiplatform/v1/tensorboard_service.proto

@@ -45,7 +45,8 @@ service TensorboardService {
       "https://www.googleapis.com/auth/cloud-platform.read-only";
 
   // Creates a Tensorboard.
-  rpc CreateTensorboard(CreateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc CreateTensorboard(CreateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/tensorboards"
       body: "tensorboard"
@@ -65,8 +66,18 @@ service TensorboardService {
     option (google.api.method_signature) = "name";
   }
 
+  // Returns a list of monthly active users for a given TensorBoard instance.
+  rpc ReadTensorboardUsage(ReadTensorboardUsageRequest)
+      returns (ReadTensorboardUsageResponse) {
+    option (google.api.http) = {
+      get: "/v1/{tensorboard=projects/*/locations/*/tensorboards/*}:readUsage"
+    };
+    option (google.api.method_signature) = "tensorboard";
+  }
+
   // Updates a Tensorboard.
-  rpc UpdateTensorboard(UpdateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc UpdateTensorboard(UpdateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard.name=projects/*/locations/*/tensorboards/*}"
       body: "tensorboard"
@@ -79,7 +90,8 @@ service TensorboardService {
   }
 
   // Lists Tensorboards in a Location.
-  rpc ListTensorboards(ListTensorboardsRequest) returns (ListTensorboardsResponse) {
+  rpc ListTensorboards(ListTensorboardsRequest)
+      returns (ListTensorboardsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/tensorboards"
     };
@@ -87,7 +99,8 @@ service TensorboardService {
   }
 
   // Deletes a Tensorboard.
-  rpc DeleteTensorboard(DeleteTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboard(DeleteTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*}"
     };
@@ -99,16 +112,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardExperiment.
-  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
       body: "tensorboard_experiment"
     };
-    option (google.api.method_signature) = "parent,tensorboard_experiment,tensorboard_experiment_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_experiment,tensorboard_experiment_id";
   }
 
   // Gets a TensorboardExperiment.
-  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -116,7 +132,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardExperiment.
-  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_experiment.name=projects/*/locations/*/tensorboards/*/experiments/*}"
       body: "tensorboard_experiment"
@@ -125,7 +142,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardExperiments in a Location.
-  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest) returns (ListTensorboardExperimentsResponse) {
+  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest)
+      returns (ListTensorboardExperimentsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
     };
@@ -133,7 +151,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardExperiment.
-  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -145,16 +164,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardRun.
-  rpc CreateTensorboardRun(CreateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc CreateTensorboardRun(CreateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
       body: "tensorboard_run"
     };
-    option (google.api.method_signature) = "parent,tensorboard_run,tensorboard_run_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_run,tensorboard_run_id";
   }
 
   // Batch create TensorboardRuns.
-  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest) returns (BatchCreateTensorboardRunsResponse) {
+  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest)
+      returns (BatchCreateTensorboardRunsResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs:batchCreate"
       body: "*"
@@ -171,7 +193,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardRun.
-  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_run.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
       body: "tensorboard_run"
@@ -180,7 +203,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardRuns in a Location.
-  rpc ListTensorboardRuns(ListTensorboardRunsRequest) returns (ListTensorboardRunsResponse) {
+  rpc ListTensorboardRuns(ListTensorboardRunsRequest)
+      returns (ListTensorboardRunsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
     };
@@ -188,7 +212,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardRun.
-  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
     };
@@ -200,7 +225,8 @@ service TensorboardService {
   }
 
   // Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
-  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest) returns (BatchCreateTensorboardTimeSeriesResponse) {
+  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest)
+      returns (BatchCreateTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs/*/timeSeries:batchCreate"
       body: "*"
@@ -209,7 +235,8 @@ service TensorboardService {
   }
 
   // Creates a TensorboardTimeSeries.
-  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
       body: "tensorboard_time_series"
@@ -218,7 +245,8 @@ service TensorboardService {
   }
 
   // Gets a TensorboardTimeSeries.
-  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -226,16 +254,19 @@ service TensorboardService {
   }
 
   // Updates a TensorboardTimeSeries.
-  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_time_series.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
       body: "tensorboard_time_series"
     };
-    option (google.api.method_signature) = "tensorboard_time_series,update_mask";
+    option (google.api.method_signature) =
+        "tensorboard_time_series,update_mask";
   }
 
   // Lists TensorboardTimeSeries in a Location.
-  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest) returns (ListTensorboardTimeSeriesResponse) {
+  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest)
+      returns (ListTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
     };
@@ -243,7 +274,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardTimeSeries.
-  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -256,10 +288,12 @@ service TensorboardService {
 
   // Reads multiple TensorboardTimeSeries' data. The data point number limit is
   // 1000 for scalars, 100 for tensors and blob references. If the number of
-  // data points stored is less than the limit, all data will be returned.
-  // Otherwise, that limit number of data points will be randomly selected from
+  // data points stored is less than the limit, all data is returned.
+  // Otherwise, the number limit of data points is randomly selected from
   // this time series and returned.
-  rpc BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest) returns (BatchReadTensorboardTimeSeriesDataResponse) {
+  rpc BatchReadTensorboardTimeSeriesData(
+      BatchReadTensorboardTimeSeriesDataRequest)
+      returns (BatchReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1/{tensorboard=projects/*/locations/*/tensorboards/*}/experiments/*/runs/*/timeSeries:batchRead"
     };
@@ -267,11 +301,12 @@ service TensorboardService {
   }
 
   // Reads a TensorboardTimeSeries' data. By default, if the number of data
-  // points stored is less than 1000, all data will be returned. Otherwise, 1000
-  // data points will be randomly selected from this time series and returned.
+  // points stored is less than 1000, all data is returned. Otherwise, 1000
+  // data points is randomly selected from this time series and returned.
   // This value can be changed by changing max_data_points, which can't be
   // greater than 10k.
-  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest) returns (ReadTensorboardTimeSeriesDataResponse) {
+  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest)
+      returns (ReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:read"
     };
@@ -282,7 +317,8 @@ service TensorboardService {
   // This is to allow reading blob data stored in consumer project's Cloud
   // Storage bucket without users having to obtain Cloud Storage access
   // permission.
-  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest) returns (stream ReadTensorboardBlobDataResponse) {
+  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest)
+      returns (stream ReadTensorboardBlobDataResponse) {
     option (google.api.http) = {
       get: "/v1/{time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:readBlobData"
     };
@@ -290,20 +326,21 @@ service TensorboardService {
   }
 
   // Write time series data points of multiple TensorboardTimeSeries in multiple
-  // TensorboardRun's. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest) returns (WriteTensorboardExperimentDataResponse) {
+  // TensorboardRun's. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest)
+      returns (WriteTensorboardExperimentDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_experiment=projects/*/locations/*/tensorboards/*/experiments/*}:write"
       body: "*"
     };
-    option (google.api.method_signature) = "tensorboard_experiment,write_run_data_requests";
+    option (google.api.method_signature) =
+        "tensorboard_experiment,write_run_data_requests";
   }
 
   // Write time series data points into multiple TensorboardTimeSeries under
-  // a TensorboardRun. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest) returns (WriteTensorboardRunDataResponse) {
+  // a TensorboardRun. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest)
+      returns (WriteTensorboardRunDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_run=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}:write"
       body: "*"
@@ -313,7 +350,8 @@ service TensorboardService {
 
   // Exports a TensorboardTimeSeries' data. Data is returned in paginated
   // responses.
-  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest) returns (ExportTensorboardTimeSeriesDataResponse) {
+  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest)
+      returns (ExportTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:exportTensorboardTimeSeries"
       body: "*"
@@ -322,7 +360,8 @@ service TensorboardService {
   }
 }
 
-// Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
+// Request message for
+// [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
 message CreateTensorboardRequest {
   // Required. The resource name of the Location to create the Tensorboard in.
   // Format: `projects/{project}/locations/{location}`
@@ -337,7 +376,8 @@ message CreateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
+// Request message for
+// [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
 message GetTensorboardRequest {
   // Required. The name of the Tensorboard resource.
   // Format:
@@ -350,7 +390,42 @@ message GetTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+// Request message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageRequest {
+  // Required. The name of the Tensorboard resource.
+  // Format:
+  // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+  string tensorboard = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Tensorboard"
+    }
+  ];
+}
+
+// Response message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageResponse {
+  // Per user usage data.
+  message PerUserUsageData {
+    // User's username
+    string username = 1;
+
+    // Number of times the user has read data within the Tensorboard.
+    int64 view_count = 2;
+  }
+
+  // Per month usage data
+  message PerMonthUsageData {
+    // Usage data for each user in the given month.
+    repeated PerUserUsageData user_usage_data = 1;
+  }
+
+  // Maps year-month (YYYYMM) string to per month usage data.
+  map<string, PerMonthUsageData> monthly_usage_data = 1;
+}
+
+// Request message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
 message ListTensorboardsRequest {
   // Required. The resource name of the Location to list Tensorboards.
   // Format:
@@ -366,18 +441,18 @@ message ListTensorboardsRequest {
   string filter = 2;
 
   // The maximum number of Tensorboards to return. The service may return
-  // fewer than this value. If unspecified, at most 100 Tensorboards will be
-  // returned. The maximum value is 100; values above 100 will be coerced to
+  // fewer than this value. If unspecified, at most 100 Tensorboards are
+  // returned. The maximum value is 100; values above 100 are coerced to
   // 100.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -387,26 +462,30 @@ message ListTensorboardsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+// Response message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
 message ListTensorboardsResponse {
   // The Tensorboards mathching the request.
   repeated Tensorboard tensorboards = 1;
 
-  // A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+  // A token, which can be sent as
+  // [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
   // to retrieve the next page. If this field is omitted, there are no
   // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
+// Request message for
+// [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
 message UpdateTensorboardRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // Tensorboard resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Tensorboard's `name` field is used to identify the
   // Tensorboard to be updated. Format:
@@ -414,7 +493,8 @@ message UpdateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
+// Request message for
+// [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
 message DeleteTensorboardRequest {
   // Required. The name of the Tensorboard to be deleted.
   // Format:
@@ -427,10 +507,11 @@ message DeleteTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
+// Request message for
+// [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
 message CreateTensorboardExperimentRequest {
-  // Required. The resource name of the Tensorboard to create the TensorboardExperiment
-  // in. Format:
+  // Required. The resource name of the Tensorboard to create the
+  // TensorboardExperiment in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -442,15 +523,16 @@ message CreateTensorboardExperimentRequest {
   // The TensorboardExperiment to create.
   TensorboardExperiment tensorboard_experiment = 2;
 
-  // Required. The ID to use for the Tensorboard experiment, which will become the final
-  // component of the Tensorboard experiment's resource name.
+  // Required. The ID to use for the Tensorboard experiment, which becomes the
+  // final component of the Tensorboard experiment's resource name.
   //
   // This value should be 1-128 characters, and valid characters
   // are /[a-z][0-9]-/.
   string tensorboard_experiment_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
+// Request message for
+// [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
 message GetTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment resource.
   // Format:
@@ -463,10 +545,11 @@ message GetTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+// Request message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsRequest {
-  // Required. The resource name of the Tensorboard to list TensorboardExperiments.
-  // Format:
+  // Required. The resource name of the Tensorboard to list
+  // TensorboardExperiments. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -480,17 +563,17 @@ message ListTensorboardExperimentsRequest {
 
   // The maximum number of TensorboardExperiments to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardExperiments will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardExperiments are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -500,34 +583,40 @@ message ListTensorboardExperimentsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+// Response message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsResponse {
   // The TensorboardExperiments mathching the request.
   repeated TensorboardExperiment tensorboard_experiments = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
+// Request message for
+// [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
 message UpdateTensorboardExperimentRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardExperiment resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardExperiment's `name` field is used to identify the
   // TensorboardExperiment to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
-  TensorboardExperiment tensorboard_experiment = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardExperiment tensorboard_experiment = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
+// Request message for
+// [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
 message DeleteTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment to be deleted.
   // Format:
@@ -540,7 +629,8 @@ message DeleteTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardRuns in. Format:
@@ -556,19 +646,22 @@ message BatchCreateTensorboardRunsRequest {
 
   // Required. The request message specifying the TensorboardRuns to create.
   // A maximum of 1000 TensorboardRuns can be created in a batch.
-  repeated CreateTensorboardRunRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated CreateTensorboardRunRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsResponse {
   // The created TensorboardRuns.
   repeated TensorboardRun tensorboard_runs = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
+// Request message for
+// [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
 message CreateTensorboardRunRequest {
-  // Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-  // in. Format:
+  // Required. The resource name of the TensorboardExperiment to create the
+  // TensorboardRun in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -580,7 +673,7 @@ message CreateTensorboardRunRequest {
   // Required. The TensorboardRun to create.
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Tensorboard run, which will become the final
+  // Required. The ID to use for the Tensorboard run, which becomes the final
   // component of the Tensorboard run's resource name.
   //
   // This value should be 1-128 characters, and valid characters
@@ -588,7 +681,8 @@ message CreateTensorboardRunRequest {
   string tensorboard_run_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
+// Request message for
+// [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
 message GetTensorboardRunRequest {
   // Required. The name of the TensorboardRun resource.
   // Format:
@@ -601,7 +695,8 @@ message GetTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+// Request message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to list Blobs.
   // Format:
@@ -617,16 +712,18 @@ message ReadTensorboardBlobDataRequest {
   repeated string blob_ids = 2;
 }
 
-// Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+// Response message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataResponse {
   // Blob messages containing blob bytes.
   repeated TensorboardBlob blobs = 1;
 }
 
-// Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+// Request message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsRequest {
-  // Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-  // Format:
+  // Required. The resource name of the TensorboardExperiment to list
+  // TensorboardRuns. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -639,18 +736,18 @@ message ListTensorboardRunsRequest {
   string filter = 2;
 
   // The maximum number of TensorboardRuns to return. The service may return
-  // fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-  // returned. The maximum value is 1000; values above 1000 will be coerced to
+  // fewer than this value. If unspecified, at most 50 TensorboardRuns are
+  // returned. The maximum value is 1000; values above 1000 are coerced to
   // 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -660,34 +757,39 @@ message ListTensorboardRunsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+// Response message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsResponse {
   // The TensorboardRuns mathching the request.
   repeated TensorboardRun tensorboard_runs = 1;
 
-  // A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
+// Request message for
+// [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
 message UpdateTensorboardRunRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardRun resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-  // be updated. Format:
+  // Required. The TensorboardRun's `name` field is used to identify the
+  // TensorboardRun to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
+// Request message for
+// [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
 message DeleteTensorboardRunRequest {
   // Required. The name of the TensorboardRun to be deleted.
   // Format:
@@ -700,7 +802,8 @@ message DeleteTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardTimeSeries in.
@@ -716,18 +819,21 @@ message BatchCreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Required. The request message specifying the TensorboardTimeSeries to create.
-  // A maximum of 1000 TensorboardTimeSeries can be created in a batch.
-  repeated CreateTensorboardTimeSeriesRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the TensorboardTimeSeries to
+  // create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+  repeated CreateTensorboardTimeSeriesRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesResponse {
   // The created TensorboardTimeSeries.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
 message CreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardRun to create the
   // TensorboardTimeSeries in.
@@ -740,17 +846,20 @@ message CreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-  // will become the final component of the TensorboardTimeSeries's resource
-  // name.
-  // This value should match "[a-z0-9][a-z0-9-]{0, 127}"
-  string tensorboard_time_series_id = 3 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. The user specified unique ID to use for the
+  // TensorboardTimeSeries, which becomes the final component of the
+  // TensorboardTimeSeries's resource name. This value should match
+  // "[a-z0-9][a-z0-9-]{0, 127}"
+  string tensorboard_time_series_id = 3
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Required. The TensorboardTimeSeries to create.
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
 message GetTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries resource.
   // Format:
@@ -763,10 +872,11 @@ message GetTensorboardTimeSeriesRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesRequest {
-  // Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-  // Format:
+  // Required. The resource name of the TensorboardRun to list
+  // TensorboardTimeSeries. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -780,17 +890,17 @@ message ListTensorboardTimeSeriesRequest {
 
   // The maximum number of TensorboardTimeSeries to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardTimeSeries will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardTimeSeries are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -800,35 +910,41 @@ message ListTensorboardTimeSeriesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesResponse {
   // The TensorboardTimeSeries mathching the request.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
 message UpdateTensorboardTimeSeriesRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardTimeSeries resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardTimeSeries' `name` field is used to identify the
   // TensorboardTimeSeries to be updated.
   // Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
 message DeleteTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries to be deleted.
   // Format:
@@ -844,11 +960,12 @@ message DeleteTensorboardTimeSeriesRequest {
 // Request message for
 // [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
 message BatchReadTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-  // read data from. Format:
+  // Required. The resource name of the Tensorboard containing
+  // TensorboardTimeSeries to read data from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-  // The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-  // resources of this Tensorboard.
+  // The TensorboardTimeSeries referenced by
+  // [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+  // must be sub resources of this Tensorboard.
   string tensorboard = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -856,7 +973,8 @@ message BatchReadTensorboardTimeSeriesDataRequest {
     }
   ];
 
-  // Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+  // Required. The resource names of the TensorboardTimeSeries to read data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   repeated string time_series = 2 [
     (google.api.field_behavior) = REQUIRED,
@@ -873,7 +991,8 @@ message BatchReadTensorboardTimeSeriesDataResponse {
   repeated TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to read data from.
   // Format:
@@ -895,13 +1014,15 @@ message ReadTensorboardTimeSeriesDataRequest {
   string filter = 3;
 }
 
-// Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataResponse {
   // The returned time series data.
   TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+// Request message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
 message WriteTensorboardExperimentDataRequest {
   // Required. The resource name of the TensorboardExperiment to write data to.
   // Format:
@@ -914,15 +1035,16 @@ message WriteTensorboardExperimentDataRequest {
   ];
 
   // Required. Requests containing per-run TensorboardTimeSeries data to write.
-  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
-message WriteTensorboardExperimentDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+message WriteTensorboardExperimentDataResponse {}
 
-// Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+// Request message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
 message WriteTensorboardRunDataRequest {
   // Required. The resource name of the TensorboardRun to write data to.
   // Format:
@@ -939,18 +1061,19 @@ message WriteTensorboardRunDataRequest {
   // Repeated writes to the same step will overwrite the existing value for that
   // step.
   // The upper limit of data points per write request is 5000.
-  repeated TimeSeriesData time_series_data = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesData time_series_data = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
-message WriteTensorboardRunDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+message WriteTensorboardRunDataResponse {}
 
-// Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the TensorboardTimeSeries to export data from.
-  // Format:
+  // Required. The resource name of the TensorboardTimeSeries to export data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   string tensorboard_time_series = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -963,8 +1086,8 @@ message ExportTensorboardTimeSeriesDataRequest {
   string filter = 2;
 
   // The maximum number of data points to return per page.
-  // The default page_size will be 1000. Values must be between 1 and 10000.
-  // Values above 10000 will be coerced to 10000.
+  // The default page_size is 1000. Values must be between 1 and 10000.
+  // Values above 10000 are coerced to 10000.
   int32 page_size = 3;
 
   // A page token, received from a previous
@@ -977,12 +1100,13 @@ message ExportTensorboardTimeSeriesDataRequest {
   string page_token = 4;
 
   // Field to use to sort the TensorboardTimeSeries' data.
-  // By default, TensorboardTimeSeries' data will be returned in a pseudo random
+  // By default, TensorboardTimeSeries' data is returned in a pseudo random
   // order.
   string order_by = 5;
 }
 
-// Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataResponse {
   // The returned time series data points.
   repeated TimeSeriesDataPoint time_series_data_points = 1;

google/cloud/aiplatform/v1/tensorboard_time_series.proto

@@ -37,16 +37,19 @@ message TensorboardTimeSeries {
 
   // Describes metadata for a TensorboardTimeSeries.
   message Metadata {
-    // Output only. Max step index of all data points within a TensorboardTimeSeries.
+    // Output only. Max step index of all data points within a
+    // TensorboardTimeSeries.
     int64 max_step = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Max wall clock timestamp of all data points within a
     // TensorboardTimeSeries.
-    google.protobuf.Timestamp max_wall_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp max_wall_time = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The largest blob sequence length (number of blobs) of all data points in
-    // this time series, if its ValueType is BLOB_SEQUENCE.
-    int64 max_blob_sequence_length = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // Output only. The largest blob sequence length (number of blobs) of all
+    // data points in this time series, if its ValueType is BLOB_SEQUENCE.
+    int64 max_blob_sequence_length = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a TensorboardTimeSeries.
@@ -85,22 +88,25 @@ message TensorboardTimeSeries {
   ];
 
   // Output only. Timestamp when this TensorboardTimeSeries was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardTimeSeries was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform a consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-  // Blob
+  // Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+  // Tensor, Blob
   string plugin_name = 8 [(google.api.field_behavior) = IMMUTABLE];
 
   // Data of the current plugin, with the size limited to 65KB.
   bytes plugin_data = 9;
 
-  // Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+  // Output only. Scalar, Tensor, or Blob metadata for this
+  // TensorboardTimeSeries.
   Metadata metadata = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1/training_pipeline.proto

@@ -37,8 +37,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // The TrainingPipeline orchestrates tasks associated with training a Model. It
 // always executes the training task, and optionally may also
 // export data from Vertex AI's Dataset which becomes the training input,
-// [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
-// Model.
+// [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to
+// Vertex AI, and evaluate the Model.
 message TrainingPipeline {
   option (google.api.resource) = {
     type: "aiplatform.googleapis.com/TrainingPipeline"
@@ -52,17 +52,20 @@ message TrainingPipeline {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Specifies Vertex AI owned input data that may be used for training the
-  // Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-  // clear whether this config is used and if there are any special requirements
-  // on how it should be filled. If nothing about this config is mentioned in
-  // the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-  // TrainingPipeline does not depend on this configuration.
+  // Model. The TrainingPipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // should make clear whether this config is used and if there are any special
+  // requirements on how it should be filled. If nothing about this config is
+  // mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that the TrainingPipeline does not depend on this
+  // configuration.
   InputDataConfig input_data_config = 3;
 
-  // Required. A Google Cloud Storage path to the YAML file that defines the training task
-  // which is responsible for producing the model artifact, and may also include
-  // additional auxiliary work.
-  // The definition files that can be used here are found in
+  // Required. A Google Cloud Storage path to the YAML file that defines the
+  // training task which is responsible for producing the model artifact, and
+  // may also include additional auxiliary work. The definition files that can
+  // be used here are found in
   // gs://google-cloud-aiplatform/schema/trainingjob/definition/.
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -70,30 +73,38 @@ message TrainingPipeline {
   string training_task_definition = 4 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The training task's parameter(s), as specified in the
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
-  google.protobuf.Value training_task_inputs = 5 [(google.api.field_behavior) = REQUIRED];
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+  // `inputs`.
+  google.protobuf.Value training_task_inputs = 5
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+  // Output only. The metadata information as specified in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
   // `metadata`. This metadata is an auxiliary runtime and final information
   // about the training task. While the pipeline is running this information is
   // populated only at a best effort basis. Only present if the
-  // pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
-  google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+  // pipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // contains `metadata` object.
+  google.protobuf.Value training_task_metadata = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Describes the Model that may be uploaded (via
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
   // by this TrainingPipeline. The TrainingPipeline's
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-  // description should be populated, and if there are any special requirements
-  // regarding how it should be filled. If nothing is mentioned in the
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-  // should not be filled and the training task either uploads the Model without
-  // a need of this information, or that training task does not support
-  // uploading a Model as part of the pipeline.
-  // When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // should make clear whether this Model description should be populated, and
+  // if there are any special requirements regarding how it should be filled. If
+  // nothing is mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that this field should not be filled and the
+  // training task either uploads the Model without a need of this information,
+  // or that training task does not support uploading a Model as part of the
+  // pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
   // the trained Model had been uploaded into Vertex AI, then the
-  // model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-  // is always uploaded into the Project and Location in which this pipeline
-  // is.
+  // model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+  // populated. The Model is always uploaded into the Project and Location in
+  // which this pipeline is.
   Model model_to_upload = 7;
 
   // Optional. The ID to use for the uploaded Model, which will become the final
@@ -103,31 +114,36 @@ message TrainingPipeline {
   // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   string model_id = 22 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-  // new model, instead, it will become a new version of this `parent_model`.
+  // Optional. When specify this field, the `model_to_upload` will not be
+  // uploaded as a new model, instead, it will become a new version of this
+  // `parent_model`.
   string parent_model = 21 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The detailed state of the pipeline.
   PipelineState state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-  // `PIPELINE_STATE_CANCELLED`.
+  // Output only. Only populated when the pipeline's state is
+  // `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
   google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline for the first time entered the
   // `PIPELINE_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the TrainingPipeline entered any of the following states:
-  // `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+  // Output only. Time when the TrainingPipeline entered any of the following
+  // states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
   // `PIPELINE_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize TrainingPipelines.
   //
@@ -142,7 +158,8 @@ message TrainingPipeline {
   // TrainingPipeline will be secured by this key.
   //
   // Note: Model trained by this TrainingPipeline is also secured by this key if
-  // [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+  // [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+  // is not set separately.
   EncryptionSpec encryption_spec = 18;
 }
 
@@ -151,7 +168,9 @@ message TrainingPipeline {
 message InputDataConfig {
   // The instructions how the input data should be split between the
   // training, validation and test sets.
-  // If no split type is provided, the [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split] is used by default.
+  // If no split type is provided, the
+  // [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split]
+  // is used by default.
   oneof split {
     // Split based on fractions defining the size of each set.
     FractionSplit fraction_split = 2;
@@ -235,9 +254,9 @@ message InputDataConfig {
     BigQueryDestination bigquery_destination = 10;
   }
 
-  // Required. The ID of the Dataset in the same Project and Location which data will be
-  // used to train the Model. The Dataset must use schema compatible with
-  // Model being trained, and what is compatible should be described in the
+  // Required. The ID of the Dataset in the same Project and Location which data
+  // will be used to train the Model. The Dataset must use schema compatible
+  // with Model being trained, and what is compatible should be described in the
   // used TrainingPipeline's [training_task_definition]
   // [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
   // For tabular Datasets, all their data is exported to training, to pick
@@ -251,9 +270,9 @@ message InputDataConfig {
   // are used in respectively training, validation or test role, depending on
   // the role of the DataItem they are on (for the auto-assigned that role is
   // decided by Vertex AI). A filter with same syntax as the one used in
-  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-  // here it filters across all Annotations of the Dataset, and not just within
-  // a single DataItem.
+  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+  // may be used, but note here it filters across all Annotations of the
+  // Dataset, and not just within a single DataItem.
   string annotations_filter = 6;
 
   // Applicable only to custom training with Datasets that have DataItems and
@@ -265,30 +284,41 @@ message InputDataConfig {
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with
-  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+  // Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
   //
   // Only Annotations that both match this schema and belong to DataItems not
   // ignored by the split method are used in respectively training, validation
   // or test role, depending on the role of the DataItem they are on.
   //
-  // When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-  // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+  // When used in conjunction with
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+  // and
   // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
   string annotation_schema_uri = 9;
 
   // Only applicable to Datasets that have SavedQueries.
   //
   // The ID of a SavedQuery (annotation set) under the Dataset specified by
-  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+  // for filtering Annotations for training.
   //
   // Only Annotations that are associated with this SavedQuery are used in
   // respectively training. When used in conjunction with
-  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-  // both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+  // and
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
   //
-  // Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-  // specified as both of them represent the same thing: problem type.
+  // Only one of
+  // [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+  // and
+  // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+  // should be specified as both of them represent the same thing: problem type.
   string saved_query_id = 7;
 
   // Whether to persist the ML use assignment to data item system labels.
@@ -323,26 +353,29 @@ message FractionSplit {
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to validate the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to test the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1/unmanaged_container_model.proto

@@ -37,7 +37,8 @@ message UnmanagedContainerModel {
   // Contains the schemata used in Model's predictions and explanations
   PredictSchemata predict_schemata = 2;
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model.
-  ModelContainerSpec container_spec = 3 [(google.api.field_behavior) = INPUT_ONLY];
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model.
+  ModelContainerSpec container_spec = 3
+      [(google.api.field_behavior) = INPUT_ONLY];
 }

google/cloud/aiplatform/v1/vizier_service.proto

@@ -41,7 +41,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // learning architectures.
 service VizierService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Study. A resource name will be generated after creation of the
   // Study.
@@ -92,7 +93,8 @@ service VizierService {
   // operation associated with the generation of Trial suggestions.
   // When this long-running operation succeeds, it will contain
   // a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
-  rpc SuggestTrials(SuggestTrialsRequest) returns (google.longrunning.Operation) {
+  rpc SuggestTrials(SuggestTrialsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/studies/*}/trials:suggest"
       body: "*"
@@ -157,7 +159,8 @@ service VizierService {
   // long-running operation. When the operation is successful,
   // it will contain a
   // [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
-  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest) returns (google.longrunning.Operation) {
+  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{trial_name=projects/*/locations/*/studies/*/trials/*}:checkTrialEarlyStoppingState"
       body: "*"
@@ -180,7 +183,8 @@ service VizierService {
   // optimal Trials for single-objective Study. The definition of
   // pareto-optimal can be checked in wiki page.
   // https://en.wikipedia.org/wiki/Pareto_efficiency
-  rpc ListOptimalTrials(ListOptimalTrialsRequest) returns (ListOptimalTrialsResponse) {
+  rpc ListOptimalTrials(ListOptimalTrialsRequest)
+      returns (ListOptimalTrialsResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/studies/*}/trials:listOptimalTrials"
       body: "*"
@@ -189,7 +193,8 @@ service VizierService {
   }
 }
 
-// Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
+// Request message for
+// [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
 message GetStudyRequest {
   // Required. The name of the Study resource.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -201,7 +206,8 @@ message GetStudyRequest {
   ];
 }
 
-// Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
+// Request message for
+// [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
 message CreateStudyRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -216,7 +222,8 @@ message CreateStudyRequest {
   Study study = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+// Request message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
 message ListStudiesRequest {
   // Required. The resource name of the Location to list the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -236,7 +243,8 @@ message ListStudiesRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+// Response message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
 message ListStudiesResponse {
   // The studies associated with the project.
   repeated Study studies = 1;
@@ -247,7 +255,8 @@ message ListStudiesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
+// Request message for
+// [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
 message DeleteStudyRequest {
   // Required. The name of the Study resource to be deleted.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -259,7 +268,8 @@ message DeleteStudyRequest {
   ];
 }
 
-// Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
+// Request message for
+// [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
 message LookupStudyRequest {
   // Required. The resource name of the Location to get the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -274,7 +284,8 @@ message LookupStudyRequest {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+// Request message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
 message SuggestTrialsRequest {
   // Required. The project and location that the Study belongs to.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -296,7 +307,8 @@ message SuggestTrialsRequest {
   string client_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+// Response message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
 message SuggestTrialsResponse {
   // A list of Trials.
   repeated Trial trials = 1;
@@ -324,7 +336,8 @@ message SuggestTrialsMetadata {
   string client_id = 2;
 }
 
-// Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
+// Request message for
+// [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
 message CreateTrialRequest {
   // Required. The resource name of the Study to create the Trial in.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -339,7 +352,8 @@ message CreateTrialRequest {
   Trial trial = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
+// Request message for
+// [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
 message GetTrialRequest {
   // Required. The name of the Trial resource.
   // Format:
@@ -352,7 +366,8 @@ message GetTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+// Request message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
 message ListTrialsRequest {
   // Required. The resource name of the Study to list the Trial from.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -372,7 +387,8 @@ message ListTrialsRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+// Response message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
 message ListTrialsResponse {
   // The Trials associated with the Study.
   repeated Trial trials = 1;
@@ -383,7 +399,8 @@ message ListTrialsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
+// Request message for
+// [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
 message AddTrialMeasurementRequest {
   // Required. The name of the trial to add measurement.
   // Format:
@@ -399,7 +416,8 @@ message AddTrialMeasurementRequest {
   Measurement measurement = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
+// Request message for
+// [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
 message CompleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -425,7 +443,8 @@ message CompleteTrialRequest {
   string infeasible_reason = 4 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
+// Request message for
+// [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
 message DeleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -438,7 +457,8 @@ message DeleteTrialRequest {
   ];
 }
 
-// Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+// Request message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateRequest {
   // Required. The Trial's name.
   // Format:
@@ -451,7 +471,8 @@ message CheckTrialEarlyStoppingStateRequest {
   ];
 }
 
-// Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+// Response message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateResponse {
   // True if the Trial should stop.
   bool should_stop = 1;
@@ -471,7 +492,8 @@ message CheckTrialEarlyStoppingStateMetatdata {
   string trial = 3;
 }
 
-// Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
+// Request message for
+// [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
 message StopTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -484,7 +506,8 @@ message StopTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+// Request message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsRequest {
   // Required. The name of the Study that the optimal Trial belongs to.
   string parent = 1 [
@@ -495,7 +518,8 @@ message ListOptimalTrialsRequest {
   ];
 }
 
-// Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+// Response message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsResponse {
   // The pareto-optimal Trials for multiple objective Study or the
   // optimal trial for single objective Study. The definition of