feat!: rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto

feat: add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto
feat: add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto
feat: add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto
feat: add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto
feat: add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto
feat: add MfsMount in aiplatform v1beta1 machine_resources.proto
feat: add version_id to Model in aiplatform v1beta1 model.proto
feat: add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto
feat: add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto
feat: add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto
feat: add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto
feat: add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto
feat: add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto

BREAKING CHANGE: (php) remove several `REQUIRED` field annotations in featurestore.proto, metadata.proto, and pipeline_job.proto

PiperOrigin-RevId: 441615103

google/cloud/aiplatform/v1beta1/aiplatform_v1beta1.yaml

@@ -92,29 +92,6 @@ documentation:
   - selector: google.cloud.location.Locations.ListLocations
     description: Lists information about the supported locations for this service.
 
-  - selector: google.iam.v1.IAMPolicy.GetIamPolicy
-    description: |-
-      Gets the access control policy for a resource. Returns an empty policy
-      if the resource exists and does not have a policy set.
-
-  - selector: google.iam.v1.IAMPolicy.SetIamPolicy
-    description: |-
-      Sets the access control policy on the specified resource. Replaces
-      any existing policy.
-
-      Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED`
-      errors.
-
-  - selector: google.iam.v1.IAMPolicy.TestIamPermissions
-    description: |-
-      Returns permissions that a caller has on the specified resource. If the
-      resource does not exist, this will return an empty set of
-      permissions, not a `NOT_FOUND` error.
-
-      Note: This operation is designed to be used for building
-      permission-aware UIs and command-line tools, not for authorization
-      checking. This operation may "fail open" without warning.
-
 backend:
   rules:
   - selector: 'google.cloud.aiplatform.v1beta1.DatasetService.*'
@@ -128,9 +105,9 @@ backend:
   - selector: 'google.cloud.aiplatform.v1beta1.FeaturestoreService.*'
     deadline: 60.0
   - selector: 'google.cloud.aiplatform.v1beta1.IndexEndpointService.*'
-    deadline: 30.0
+    deadline: 60.0
   - selector: 'google.cloud.aiplatform.v1beta1.IndexService.*'
-    deadline: 30.0
+    deadline: 60.0
   - selector: 'google.cloud.aiplatform.v1beta1.JobService.*'
     deadline: 60.0
   - selector: 'google.cloud.aiplatform.v1beta1.MetadataService.*'
@@ -155,8 +132,6 @@ backend:
     deadline: 30.0
   - selector: google.cloud.location.Locations.ListLocations
     deadline: 30.0
-  - selector: 'google.iam.v1.IAMPolicy.*'
-    deadline: 60.0
   - selector: 'google.longrunning.Operations.*'
     deadline: 60.0
 
@@ -170,22 +145,6 @@ http:
     get: '/ui/{name=projects/*}/locations'
     additional_bindings:
     - get: '/v1beta1/{name=projects/*}/locations'
-  - selector: google.iam.v1.IAMPolicy.GetIamPolicy
-    get: '/v1beta1/{resource=projects/*/locations/*/**}:getIamPolicy'
-    additional_bindings:
-    - get: '/ui/{resource=projects/*/locations/*/**}:getIamPolicy'
-  - selector: google.iam.v1.IAMPolicy.SetIamPolicy
-    post: '/v1beta1/{resource=projects/*/locations/*/**}:setIamPolicy'
-    body: '*'
-    additional_bindings:
-    - post: '/ui/{resource=projects/*/locations/*/**}:setIamPolicy'
-      body: '*'
-  - selector: google.iam.v1.IAMPolicy.TestIamPermissions
-    post: '/v1beta1/{resource=projects/*/locations/*/**}:testIamPermissions'
-    body: '*'
-    additional_bindings:
-    - post: '/ui/{resource=projects/*/locations/*/**}:testIamPermissions'
-      body: '*'
   - selector: google.longrunning.Operations.CancelOperation
     post: '/ui/{name=projects/*/locations/*/operations/*}:cancel'
     additional_bindings:
@@ -194,6 +153,7 @@ http:
     - post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel'
     - post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel'
     - post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel'
+    - post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel'
     - post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel'
     - post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel'
     - post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel'
@@ -223,6 +183,7 @@ http:
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel'
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel'
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel'
+    - post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel'
     - post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel'
     - post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel'
     - post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel'
@@ -254,6 +215,7 @@ http:
     - delete: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}'
     - delete: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}'
     - delete: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}'
+    - delete: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}'
     - delete: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}'
     - delete: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'
     - delete: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}'
@@ -283,6 +245,7 @@ http:
     - delete: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}'
     - delete: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}'
     - delete: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}'
+    - delete: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}'
     - delete: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}'
     - delete: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}'
     - delete: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}'
@@ -314,6 +277,7 @@ http:
     - get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}'
     - get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}'
     - get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}'
+    - get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}'
     - get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}'
     - get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}'
     - get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'
@@ -344,6 +308,7 @@ http:
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}'
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}'
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}'
+    - get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}'
     - get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}'
     - get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}'
     - get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}'
@@ -375,6 +340,7 @@ http:
     - get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations'
     - get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations'
     - get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations'
+    - get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations'
     - get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'
     - get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'
     - get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations'
@@ -404,6 +370,7 @@ http:
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations'
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations'
     - get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations'
+    - get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations'
     - get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations'
     - get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations'
     - get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations'
@@ -435,6 +402,7 @@ http:
     - post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait'
     - post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait'
     - post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait'
+    - post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait'
     - post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait'
     - post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait'
     - post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait'
@@ -464,6 +432,7 @@ http:
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait'
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait'
     - post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait'
+    - post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait'
     - post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait'
     - post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait'
     - post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait'
@@ -566,10 +535,6 @@ authentication:
     oauth:
       canonical_scopes: |-
         https://www.googleapis.com/auth/cloud-platform
-  - selector: 'google.iam.v1.IAMPolicy.*'
-    oauth:
-      canonical_scopes: |-
-        https://www.googleapis.com/auth/cloud-platform
   - selector: 'google.longrunning.Operations.*'
     oauth:
       canonical_scopes: |-

google/cloud/aiplatform/v1beta1/annotation.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-
 import "google/cloud/aiplatform/v1beta1/user_action_reference.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/annotation_spec.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/artifact.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/value.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/batch_prediction_job.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/completion_stats.proto";
@@ -26,7 +25,6 @@ import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
-import "google/cloud/aiplatform/v1beta1/model_monitoring.proto";
 import "google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
@@ -165,6 +163,9 @@ message BatchPredictionJob {
                       type: "aiplatform.googleapis.com/Model"
                     }];
 
+  // 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
   // requiring uploading to model registry.
   // Exactly one of model and unmanaged_container_model must be set.

google/cloud/aiplatform/v1beta1/completion_stats.proto

@@ -16,9 +16,7 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
-import "google/rpc/status.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";

google/cloud/aiplatform/v1beta1/context.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/value.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/custom_job.proto

@@ -16,11 +16,9 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
-import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
@@ -141,6 +139,16 @@ message CustomJobSpec {
                         type: "compute.googleapis.com/Network"
                       }];
 
+  // Optional. A list of names for the reserved ip ranges under the VPC network
+  // that can be used for this job.
+  //
+  // If set, we will deploy the job within the provided ip ranges. Otherwise,
+  // the job will be deployed to any ip ranges under the provided VPC
+  // network.
+  //
+  // Example: ['vertex-ai-ip-range'].
+  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
@@ -205,6 +213,9 @@ message WorkerPoolSpec {
   // Optional. The number of worker replicas to use for this worker pool.
   int64 replica_count = 2 [(google.api.field_behavior) = OPTIONAL];
 
+  // Optional. List of NFS mount spec.
+  repeated NfsMount nfs_mounts = 4 [(google.api.field_behavior) = OPTIONAL];
+
   // Disk spec.
   DiskSpec disk_spec = 5;
 }

google/cloud/aiplatform/v1beta1/data_item.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/data_labeling_job.proto

@@ -16,13 +16,10 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
-import "google/cloud/aiplatform/v1beta1/specialist_pool.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";

google/cloud/aiplatform/v1beta1/dataset.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";

google/cloud/aiplatform/v1beta1/dataset_service.proto

@@ -25,7 +25,6 @@ import "google/cloud/aiplatform/v1beta1/annotation_spec.proto";
 import "google/cloud/aiplatform/v1beta1/data_item.proto";
 import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
-import "google/cloud/aiplatform/v1beta1/training_pipeline.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 

google/cloud/aiplatform/v1beta1/deployed_index_ref.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 

google/cloud/aiplatform/v1beta1/deployed_model_ref.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 

google/cloud/aiplatform/v1beta1/encryption_spec.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/endpoint.proto

@@ -16,15 +16,12 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
-import "google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto";
-import "google/cloud/aiplatform/v1beta1/model_monitoring.proto";
 import "google/protobuf/timestamp.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
@@ -112,12 +109,12 @@ message Endpoint {
                          type: "compute.googleapis.com/Network"
                        }];
 
-  // If true, expose the Endpoint via private service connect.
+  // Deprecated: If true, expose the Endpoint via private service connect.
   //
   // Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
   // can be set.
-  bool enable_private_service_connect = 17;
+  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][].
@@ -129,6 +126,9 @@ message Endpoint {
       type: "aiplatform.googleapis.com/ModelDeploymentMonitoringJob"
     }
   ];
+
+  // Configures the request-response logging for online prediction.
+  PredictRequestResponseLoggingConfig predict_request_response_logging_config = 18;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -163,6 +163,9 @@ message DeployedModel {
     }
   ];
 
+  // Output only. The version ID of the model that is deployed.
+  string model_version_id = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // The display name of the DeployedModel. If not provided upon creation,
   // the Model's display_name is used.
   string display_name = 3;
@@ -229,3 +232,21 @@ message PrivateEndpoints {
   // connect is enabled.
   string service_attachment = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
+
+// Configuration for logging request-response to a BigQuery table.
+message PredictRequestResponseLoggingConfig {
+  // If logging is enabled or not.
+  bool enabled = 1;
+
+  // Percentage of requests to be logged, expressed as a fraction in
+  // range(0,1].
+  double sampling_rate = 2;
+
+  // BigQuery table for logging.
+  // If only given a project, a new dataset will be created with name
+  // `logging_<endpoint-display-name>_<endpoint-id>` where
+  // <endpoint-display-name> will be made BigQuery-dataset-name compatible (e.g.
+  // most special characters will become underscores). If no table name is
+  // given, a new table will be created with name `request_response_logging`
+  BigQueryDestination bigquery_destination = 3;
+}

google/cloud/aiplatform/v1beta1/entity_type.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/feature.proto";
 import "google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/env_var.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/event.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/execution.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/value.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/explanation.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1beta1/explanation_metadata.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
@@ -198,9 +197,9 @@ message ExplanationParameters {
     // x-rays or quality-control cameras, use Integrated Gradients instead.
     XraiAttribution xrai_attribution = 3;
 
-    // Similarity explainability that returns the nearest neighbors from the
+    // Example-based explanations that returns the nearest neighbors from the
     // provided dataset.
-    Similarity similarity = 7;
+    Examples examples = 7;
   }
 
   // If populated, returns attributions for top K indices of outputs
@@ -371,15 +370,18 @@ message BlurBaselineConfig {
   float max_blur_sigma = 1;
 }
 
-// Similarity explainability that returns the nearest neighbors from the
+// Example-based explainability that returns the nearest neighbors from the
 // provided dataset.
-message Similarity {
+message Examples {
   // The Cloud Storage location for the input instances.
   GcsSource gcs_source = 1;
 
   // The configuration for the generated index, the semantics are the same as
   // [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
   google.protobuf.Value nearest_neighbor_search_config = 2;
+
+  // The number of neighbors to return.
+  int32 neighbor_count = 3;
 }
 
 // The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at

google/cloud/aiplatform/v1beta1/explanation_metadata.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/protobuf/struct.proto";
 

google/cloud/aiplatform/v1beta1/feature.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto";
@@ -43,9 +42,7 @@ message Feature {
   // A list of historical [Snapshot
   // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
   // Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-  // requested by user, sorted by
+  // requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.
-  // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
-  // descending.
   message MonitoringStatsAnomaly {
     // If the objective in the request is both
     // Import Feature Analysis and Snapshot Analysis, this objective could be
@@ -66,8 +63,7 @@ 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
+    FeatureStatsAnomaly feature_stats_anomaly = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
-        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a feature.
@@ -145,8 +141,9 @@ message Feature {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Optional. The custom monitoring configuration for this Feature, if not set, use the
+  // Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-  // monitoring_config defined for the EntityType this Feature belongs to.
+  // set, use the monitoring_config defined for the EntityType this Feature
+  // belongs to.
   // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
   // INT64 can enable monitoring.
   //
@@ -156,12 +153,15 @@ message Feature {
   // [FeaturestoreMonitoringConfig.monitoring_interval][] specified, snapshot
   // analysis monitoring is enabled. Otherwise, snapshot analysis monitoring
   // config is same as the EntityType's this Feature belongs to.
-  FeaturestoreMonitoringConfig monitoring_config = 9 [(google.api.field_behavior) = OPTIONAL];
+  FeaturestoreMonitoringConfig monitoring_config = 9 [
+    deprecated = true,
+    (google.api.field_behavior) = OPTIONAL
+  ];
 
-  // Optional. If not set, use the monitoring_config defined for the EntityType
+  // Optional. If not set, use the monitoring_config defined for the EntityType this
-  // this Feature belongs to. Only Features with type
+  // Feature belongs to.
-  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-  // BOOL, STRING, DOUBLE or INT64 can enable monitoring.
+  // INT64 can enable monitoring.
   //
   // If set to true, all types of data monitoring are disabled despite the
   // config on EntityType.
@@ -173,8 +173,6 @@ message Feature {
   // descending.
   repeated FeatureStatsAnomaly monitoring_stats = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The list of historical stats and anomalies with specified
+  // Output only. The list of historical stats and anomalies with specified objectives.
-  // objectives.
+  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
-  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11
-      [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/protobuf/timestamp.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/feature_selector.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/featurestore.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
@@ -50,16 +49,15 @@ message Featurestore {
       // 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 or equal to
+      // The maximum number of nodes to scale up to. Must be greater than
-      // min_node_count.
+      // min_node_count, and less than or equal to 10 times of 'min_node_count'.
       int32 max_node_count = 2;
     }
 
-    // The number of nodes for each cluster. The number of nodes will not
+    // The number of nodes for the online store. The number of nodes doesn't
-    // scale automatically but can be scaled manually by providing different
+    // scale automatically, but you can manually update the number of
-    // values when updating.
+    // nodes. If set to 0, the featurestore will not have an
-    // Only one of `fixed_node_count` and `scaling` can be set. Setting one will
+    // online store and cannot be used for online serving.
-    // reset the other.
     int32 fixed_node_count = 2;
 
     // Online serving scaling configuration.
@@ -68,24 +66,26 @@ message Featurestore {
     Scaling scaling = 4;
   }
 
-  // Possible states a Featurestore can have.
+  // Possible states a featurestore can have.
   enum State {
     // Default value. This value is unused.
     STATE_UNSPECIFIED = 0;
 
-    // State when the Featurestore configuration is not being updated and the
+    // State when the featurestore configuration is not being updated and the
-    // fields reflect the current configuration of the Featurestore. The
+    // fields reflect the current configuration of the featurestore. The
-    // Featurestore is usable in this state.
+    // featurestore is usable in this state.
     STABLE = 1;
 
-    // State when the Featurestore configuration is being updated and the fields
+    // The state of the featurestore configuration when it is being updated.
-    // reflect the updated configuration of the Featurestore, not the current
+    // During an update, the fields reflect either the original configuration
-    // one. For example, `online_serving_config.fixed_node_count` can take
+    // or the updated configuration of the featurestore. For example,
-    // minutes to update. While the update is in progress, the Featurestore
+    // `online_serving_config.fixed_node_count` can take minutes to update.
-    // will be in the UPDATING state and the value of `fixed_node_count` will be
+    // While the update is in progress, the featurestore is in the UPDATING
-    // the updated value. Until the update completes, the actual number of nodes
+    // state, and the value of `fixed_node_count` can be the original value or
-    // can still be the original value of `fixed_node_count`. The Featurestore
+    // the updated value, depending on the progress of the operation. Until the
-    // is still usable in this state.
+    // update completes, the actual number of nodes can still be the original
+    // value of `fixed_node_count`. The featurestore is still usable in this
+    // state.
     UPDATING = 2;
   }
 
@@ -116,8 +116,9 @@ message Featurestore {
   // and are immutable.
   map<string, string> labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Required. Config for online serving resources.
+  // Optional. Config for online storage resources. If unset, the featurestore will
-  OnlineServingConfig online_serving_config = 7 [(google.api.field_behavior) = REQUIRED];
+  // 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];

google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/protobuf/duration.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
@@ -55,8 +54,7 @@ message FeaturestoreMonitoringConfig {
     // running interval. The value indicates number of days.
     // If both
     // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-    // and
+    // and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
-    // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
     // are set when creating/updating EntityTypes/Features,
     // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
     // will be used.
@@ -147,15 +145,11 @@ 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
+  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
-  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.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
+  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
-  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
-  // BOOL or STRING).
   ThresholdConfig categorical_threshold_config = 4;
 }

google/cloud/aiplatform/v1beta1/featurestore_service.proto

@@ -22,10 +22,8 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/entity_type.proto";
 import "google/cloud/aiplatform/v1beta1/feature.proto";
-import "google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto";
 import "google/cloud/aiplatform/v1beta1/feature_selector.proto";
 import "google/cloud/aiplatform/v1beta1/featurestore.proto";
-import "google/cloud/aiplatform/v1beta1/featurestore_online_service.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";

google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";

google/cloud/aiplatform/v1beta1/index.proto

@@ -16,11 +16,9 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/deployed_index_ref.proto";
-
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 

google/cloud/aiplatform/v1beta1/index_endpoint.proto

@@ -16,10 +16,8 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/index.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -82,9 +80,9 @@ message IndexEndpoint {
   // 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.v1beta1.IndexEndpoint.network] or
+  // [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] and
-  // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
+  // [private_service_connect_config][google.cloud.aiplatform.v1beta1.IndexEndpoint.private_service_connect_config]
-  // can be set.
+  // are mutually exclusive.
   //
   // [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
   // projects/{project}/global/networks/{network}.
@@ -92,12 +90,15 @@ message IndexEndpoint {
   // network name.
   string network = 9 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. 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.v1beta1.IndexEndpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
   // can be set.
-  bool enable_private_service_connect = 10 [(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.

google/cloud/aiplatform/v1beta1/io.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/job_state.proto

@@ -16,8 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
@@ -58,4 +56,11 @@ enum JobState {
 
   // The job has expired.
   JOB_STATE_EXPIRED = 9;
+
+  // The job is being updated. The job is only able to be updated at RUNNING
+  // state; if the update operation succeeds, job goes back to RUNNING state; if
+  // the update operation fails, the job goes back to RUNNING state with error
+  // messages written to [ModelDeploymentMonitoringJob.partial_errors][] field
+  // if it is a ModelDeploymentMonitoringJob.
+  JOB_STATE_UPDATING = 10;
 }

google/cloud/aiplatform/v1beta1/lineage_subgraph.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/cloud/aiplatform/v1beta1/artifact.proto";
 import "google/cloud/aiplatform/v1beta1/event.proto";
 import "google/cloud/aiplatform/v1beta1/execution.proto";

google/cloud/aiplatform/v1beta1/machine_resources.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
 
@@ -79,6 +78,11 @@ message DedicatedResources {
   // 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.v1beta1.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 *
+  // number of cores in the selected machine type) and (max_replica_count *
+  // number of GPUs per replica in the selected machine type).
   int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. The metric specifications that overrides a resource
@@ -165,6 +169,21 @@ message DiskSpec {
   int32 boot_disk_size_gb = 2;
 }
 
+// Represents a mount configuration for Network File System (NFS) to mount.
+message NfsMount {
+  // Required. IP address of the NFS server.
+  string server = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Source path exported from NFS server.
+  // Has to start with '/', and combined with the ip address, it indicates
+  // 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>
+  string mount_point = 3 [(google.api.field_behavior) = REQUIRED];
+}
+
 // The metric specification that defines the target resource utilization
 // (CPU utilization, accelerator's duty cycle, and so on) for calculating the
 // desired replica count.

google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";

google/cloud/aiplatform/v1beta1/metadata_schema.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/metadata_service.proto

@@ -571,9 +571,9 @@ message UpdateArtifactRequest {
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   Artifact artifact = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. A FieldMask indicating which fields should be updated.
+  // 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) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
   // created.
@@ -757,9 +757,9 @@ message UpdateContextRequest {
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   Context context = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. A FieldMask indicating which fields should be updated.
+  // 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) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
   // created.
@@ -1021,9 +1021,9 @@ message UpdateExecutionRequest {
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   Execution execution = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. A FieldMask indicating which fields should be updated.
+  // 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) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
   // is created.

google/cloud/aiplatform/v1beta1/metadata_store.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";

google/cloud/aiplatform/v1beta1/migratable_resource.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/migration_service.proto

@@ -20,9 +20,7 @@ import "google/api/annotations.proto";
 import "google/api/client.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/migratable_resource.proto";
-import "google/cloud/aiplatform/v1beta1/model.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
 import "google/rpc/status.proto";

google/cloud/aiplatform/v1beta1/model.proto

@@ -16,15 +16,12 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/deployed_model_ref.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
-
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -106,6 +103,32 @@ message Model {
   // The resource name of the Model.
   string name = 1;
 
+  // Output only. Immutable. The version ID of the model.
+  // A new version is committed when a new model version is uploaded or
+  // trained under an existing model id. It is an auto-incrementing decimal
+  // number in string representation.
+  string version_id = 28 [
+    (google.api.field_behavior) = IMMUTABLE,
+    (google.api.field_behavior) = OUTPUT_ONLY
+  ];
+
+  // User provided version aliases so that a model version can be referenced via
+  // alias (i.e.
+  // projects/{project}/locations/{location}/models/{model_id}@{version_alias}
+  // instead of auto-generated version id (i.e.
+  // projects/{project}/locations/{location}/models/{model_id}@{version_id}).
+  // The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
+  // version_id. A default version alias will be created for the first version
+  // of the model, and there must be exactly one default version alias for a
+  // 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];
+
+  // Output only. Timestamp when this version was most recently updated.
+  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 be consist of any UTF-8
   // characters.
@@ -114,6 +137,9 @@ message Model {
   // The description of the Model.
   string description = 3;
 
+  // The description of this version.
+  string version_description = 30;
+
   // The schemata that describe formats of the Model's predictions and
   // explanations as given and returned via
   // [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
@@ -29,7 +28,6 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
@@ -69,6 +67,16 @@ message ModelDeploymentMonitoringJob {
     pattern: "projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}"
   };
 
+  // All metadata of most recent monitoring pipelines.
+  message LatestMonitoringPipelineMetadata {
+    // The time that most recent monitoring pipelines that is related to this
+    // run.
+    google.protobuf.Timestamp run_time = 1;
+
+    // The status of the most recent monitoring pipeline.
+    google.rpc.Status status = 2;
+  }
+
   // The state to Specify the monitoring pipeline.
   enum MonitoringScheduleState {
     // Unspecified state.
@@ -112,6 +120,9 @@ message ModelDeploymentMonitoringJob {
   // Output only. Schedule state when the monitoring job is in Running state.
   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];
+
   // 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];

google/cloud/aiplatform/v1beta1/model_evaluation.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";

google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/struct.proto";

google/cloud/aiplatform/v1beta1/model_monitoring.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 
@@ -28,7 +27,7 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
-// Next ID: 6
+// Next ID: 8
 message ModelMonitoringObjectiveConfig {
   // Training Dataset information.
   message TrainingDataset {

google/cloud/aiplatform/v1beta1/model_service.proto

@@ -20,15 +20,12 @@ import "google/api/annotations.proto";
 import "google/api/client.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
-import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/model.proto";
 import "google/cloud/aiplatform/v1beta1/model_evaluation.proto";
 import "google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
-
 import "google/protobuf/field_mask.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
@@ -73,6 +70,14 @@ service ModelService {
     option (google.api.method_signature) = "parent";
   }
 
+  // Lists versions of the specified model.
+  rpc ListModelVersions(ListModelVersionsRequest) returns (ListModelVersionsResponse) {
+    option (google.api.http) = {
+      get: "/v1beta1/{name=projects/*/locations/*/models/*}:listVersions"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
   // Updates a Model.
   rpc UpdateModel(UpdateModelRequest) returns (Model) {
     option (google.api.http) = {
@@ -98,6 +103,31 @@ service ModelService {
     };
   }
 
+  // Deletes a Model version.
+  //
+  // 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.v1beta1.ModelService.DeleteModel] for deleting the Model instead.
+  rpc DeleteModelVersion(DeleteModelVersionRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1beta1/{name=projects/*/locations/*/models/*}:deleteVersion"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Merges a set of aliases for a Model version.
+  rpc MergeVersionAliases(MergeVersionAliasesRequest) returns (Model) {
+    option (google.api.http) = {
+      post: "/v1beta1/{name=projects/*/locations/*/models/*}:mergeVersionAliases"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name,version_aliases";
+  }
+
   // 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.v1beta1.Model.supported_export_formats].
@@ -166,6 +196,17 @@ message UploadModelRequest {
     }
   ];
 
+  // 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
+  // component of the model resource name.
+  //
+  // This value may be up to 63 characters, and valid characters are
+  // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
+  string model_id = 5 [(google.api.field_behavior) = OPTIONAL];
+
   // Required. The Model to create.
   Model model = 2 [(google.api.field_behavior) = REQUIRED];
 }
@@ -183,6 +224,9 @@ message UploadModelResponse {
   string model = 1 [(google.api.resource_reference) = {
                       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.v1beta1.ModelService.GetModel].
@@ -248,9 +292,73 @@ message ListModelsResponse {
   string next_page_token = 2;
 }
 
+// Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
+message ListModelVersionsRequest {
+  // Required. The name of the model to list versions for.
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // The standard list page size.
+  int32 page_size = 2;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.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
+  // both snake_case and camelCase are supported.
+  //
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `labels.myKey="myValue"`
+  string filter = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.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
+  // be included.
+  repeated Model models = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
 // Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.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
+  // whether to update the model or model version.
+  // 1. model.name with the @ value, e.g. models/123@1, refers to a version
+  // specific update.
+  // 2. model.name without the @ value, e.g. models/123, refers to a model
+  // update.
+  // 3. model.name with @-, e.g. models/123@-, refers to a model update.
+  // 4. Supported model fields: display_name, description; supported
+  // version-specific fields: version_description. Labels are supported in both
+  // scenarios. Both the model labels and the version labels are merged when a
+  // model is returned. When updating labels, if the request is for
+  // model-specific update, model label gets updated. Otherwise, version labels
+  // get updated.
+  // 5. A model name or model version name fields update mismatch will cause a
+  // precondition error.
+  // 6. One request cannot update both the model and the version fields. You
+  // must update them separately.
   Model model = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
@@ -270,6 +378,48 @@ message DeleteModelRequest {
   ];
 }
 
+// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
+message DeleteModelVersionRequest {
+  // 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 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+}
+
+// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
+message MergeVersionAliasesRequest {
+  // Required. The name of the model version to merge aliases, with a version ID
+  // explicitly included.
+  //
+  // Example: `projects/{project}/locations/{location}/models/{model}@1234`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. The set of version aliases to merge.
+  // The alias should be at most 128 characters, and match
+  // `[a-z][a-z0-9-]{0,126}[a-z-0-9]`.
+  // Add the `-` prefix to an alias means removing that alias from the version.
+  // `-` is NOT counted in the 128 characters. Example: `-golden` means removing
+  // the `golden` alias from the version.
+  //
+  // There is NO ordering in aliases, which means
+  // 1) The aliases returned from GetModel API might not have the exactly same
+  // order from this MergeVersionAliases API. 2) Adding and deleting the same
+  // alias in the request is not recommended, and the 2 operations will be
+  // cancelled out.
+  repeated string version_aliases = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
 // Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
 message ExportModelRequest {
   // Output configuration for the Model export.

google/cloud/aiplatform/v1beta1/operation.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";

google/cloud/aiplatform/v1beta1/pipeline_job.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/artifact.proto";
@@ -95,8 +94,8 @@ message PipelineJob {
   // Output only. Timestamp when this PipelineJob was most recently updated.
   google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. The spec of the pipeline.
+  // The spec of the pipeline.
-  google.protobuf.Struct pipeline_spec = 7 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.Struct pipeline_spec = 7;
 
   // Output only. The detailed state of the job.
   PipelineState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];

google/cloud/aiplatform/v1beta1/pipeline_service.proto

@@ -322,6 +322,9 @@ message ListPipelineJobsRequest {
   // * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
   //   Values must be in RFC 3339 format.
   // * `labels`: Supports key-value equality and key presence.
+  // * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
+  // * `template_metadata.version_name`: Supports `=`, `!=` comparisons, and `:`
+  // wildcard.
   //
   // Filter expressions can be combined together using logical operators
   // (`AND` & `OR`).

google/cloud/aiplatform/v1beta1/pipeline_state.proto

@@ -16,8 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;

google/cloud/aiplatform/v1beta1/prediction_service.proto

@@ -133,6 +133,10 @@ message PredictResponse {
     }
   ];
 
+  // 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.v1beta1.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];

google/cloud/aiplatform/v1beta1/specialist_pool.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 

google/cloud/aiplatform/v1beta1/study.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
@@ -399,6 +398,54 @@ message StudySpec {
     bool use_elapsed_duration = 1;
   }
 
+  // Configuration for ConvexAutomatedStoppingSpec.
+  // When there are enough completed trials (configured by
+  // min_measurement_count), for pending trials with enough measurements and
+  // steps, the policy first computes an overestimate of the objective value at
+  // max_num_steps according to the slope of the incomplete objective value
+  // curve. No prediction can be made if the curve is completely flat. If the
+  // overestimation is worse than the best objective value of the completed
+  // trials, this pending trial will be early-stopped, but a last measurement
+  // will be added to the pending trial with max_num_steps and predicted
+  // objective value from the autoregression model.
+  message ConvexAutomatedStoppingSpec {
+    // Steps used in predicting the final objective for early stopped trials. In
+    // general, it's set to be the same as the defined steps in training /
+    // tuning. If not defined, it will learn it from the completed trials. When
+    // use_steps is false, this field is set to the maximum elapsed seconds.
+    int64 max_step_count = 1;
+
+    // Minimum number of steps for a trial to complete. Trials which do not have
+    // a measurement with step_count > min_step_count won't be considered for
+    // early stopping. It's ok to set it to 0, and a trial can be early stopped
+    // at any stage. By default, min_step_count is set to be one-tenth of the
+    // max_step_count.
+    // When use_elapsed_duration is true, this field is set to the minimum
+    // elapsed seconds.
+    int64 min_step_count = 2;
+
+    // The minimal number of measurements in a Trial.  Early-stopping checks
+    // will not trigger if less than min_measurement_count+1 completed trials or
+    // pending trials with less than min_measurement_count measurements. If not
+    // defined, the default value is 5.
+    int64 min_measurement_count = 3;
+
+    // The hyper-parameter name used in the tuning job that stands for learning
+    // rate. Leave it blank if learning rate is not in a parameter in tuning.
+    // The learning_rate is used to estimate the objective value of the ongoing
+    // trial.
+    string learning_rate_parameter_name = 4;
+
+    // This bool determines whether or not the rule is applied based on
+    // elapsed_secs or steps. If use_elapsed_duration==false, the early stopping
+    // decision is made according to the predicted objective values according to
+    // the target steps. If use_elapsed_duration==true, elapsed_secs is used
+    // instead of steps. Also, in this case, the parameters max_num_steps and
+    // min_num_steps are overloaded to contain max_elapsed_seconds and
+    // min_elapsed_seconds.
+    bool use_elapsed_duration = 5;
+  }
+
   // Configuration for ConvexStopPolicy.
   message ConvexStopConfig {
     option deprecated = true;
@@ -505,6 +552,9 @@ message StudySpec {
     // Deprecated.
     // The automated early stopping using convex stopping rule.
     ConvexStopConfig convex_stop_config = 8 [deprecated = true];
+
+    // The automated early stopping spec using convex stopping rule.
+    ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;
   }
 
   // Required. Metric specs for the Study.

google/cloud/aiplatform/v1beta1/tensorboard.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";

google/cloud/aiplatform/v1beta1/tensorboard_data.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/tensorboard_run.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";

google/cloud/aiplatform/v1beta1/training_pipeline.proto

@@ -16,13 +16,10 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
-import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
-import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
 import "google/cloud/aiplatform/v1beta1/model.proto";
 import "google/cloud/aiplatform/v1beta1/pipeline_state.proto";
 import "google/protobuf/struct.proto";
@@ -99,6 +96,17 @@ message TrainingPipeline {
   // is.
   Model model_to_upload = 7;
 
+  // Optional. The ID to use for the uploaded Model, which will become the final
+  // component of the model resource name.
+  //
+  // This value may be up to 63 characters, and valid characters are
+  // `[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`.
+  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];
 

google/cloud/aiplatform/v1beta1/types.proto

@@ -16,8 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;

google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto

@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
 import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1beta1/model.proto";
 

google/cloud/aiplatform/v1beta1/user_action_reference.proto

@@ -16,8 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;

google/cloud/aiplatform/v1beta1/value.proto

@@ -16,8 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1;
 
-import "google/api/annotations.proto";
-
 option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;