feat: Adds BigQuery output table field to batch prediction job output config

feat: Adds Feature Store features
feat: Adds CustomJob.web_access_uris, CustomJob.enable_web_access fields
feat: Adds Endpoint.network, Endpoint.private_endpoints fields and PrivateEndpoints message
feat: Adds Execution.State constants: CACHED and CANCELLED
feat: Adds IndexEndpoint.private_ip_ranges field
feat: Adds IndexEndpointService.deployed_index_id field
feat: Adds MetadataService.DeleteArtifact and DeleteExecution methods
feat: Adds ModelMonitoringObjectConfig.explanation_config field and ModelMonitoringObjectConfig.ExplanationConfig message
feat: Adds ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attribution_score_skew_thresholds and ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attribution_score_drift_threshold fields
feat: Adds fields to Study message

PiperOrigin-RevId: 385903722

google/cloud/aiplatform/v1beta1/BUILD.bazel

@@ -97,6 +97,7 @@ proto_library(
         "//google/api:annotations_proto",
         "//google/api:client_proto",
         "//google/api:field_behavior_proto",
+        "//google/api:httpbody_proto",
         "//google/api:resource_proto",
         "//google/longrunning:operations_proto",
         "//google/rpc:status_proto",
@@ -212,6 +213,7 @@ go_proto_library(
     protos = [":aiplatform_proto"],
     deps = [
         "//google/api:annotations_go_proto",
+        "//google/api:httpbody_go_proto",
         "//google/longrunning:longrunning_go_proto",
         "//google/rpc:status_go_proto",
         "//google/type:money_go_proto",
@@ -223,9 +225,11 @@ go_gapic_library(
     srcs = [":aiplatform_proto_with_info"],
     grpc_service_config = "aiplatform_grpc_service_config.json",
     importpath = "cloud.google.com/go/aiplatform/apiv1beta1;aiplatform",
+    metadata = True,
     service_yaml = "aiplatform_v1beta1.yaml",
     deps = [
         ":aiplatform_go_proto",
+        "//google/api:httpbody_go_proto",
         "//google/longrunning:longrunning_go_proto",
         "@com_google_cloud_go//longrunning:go_default_library",
         "@com_google_cloud_go//longrunning/autogen:go_default_library",
@@ -246,6 +250,7 @@ go_gapic_assembly_pkg(
     name = "gapi-cloud-aiplatform-v1beta1-go",
     deps = [
         ":aiplatform_go_gapic",
+        ":aiplatform_go_gapic_srcjar-metadata.srcjar",
         ":aiplatform_go_gapic_srcjar-test.srcjar",
         ":aiplatform_go_proto",
     ],

google/cloud/aiplatform/v1beta1/accelerator_type.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "AcceleratorTypeProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a hardware accelerator type.
 enum AcceleratorType {

google/cloud/aiplatform/v1beta1/annotation.proto

@@ -18,16 +18,18 @@ package google.cloud.aiplatform.v1beta1;
 
 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";
 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;
 option java_outer_classname = "AnnotationProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Used to assign specific AnnotationSpec to a particular area of a DataItem or
 // the whole part of the DataItem.

google/cloud/aiplatform/v1beta1/annotation_spec.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "AnnotationSpecProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Identifies a concept with which DataItems may be annotated with.
 message AnnotationSpec {

google/cloud/aiplatform/v1beta1/artifact.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ArtifactProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general artifact.
 message Artifact {

google/cloud/aiplatform/v1beta1/batch_prediction_job.proto

@@ -31,10 +31,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "BatchPredictionJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
 // on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
@@ -93,8 +96,7 @@ message BatchPredictionJob {
       // `errors_N.<extension>` files are created (N depends on total number
       // of failed predictions). These files contain the failed instances,
       // as per their schema, followed by an additional `error` field which as
-      // value has
-      // [`google.rpc.Status`](Status)
+      // value has [google.rpc.Status][google.rpc.Status]
       // containing only `code` and `message` fields.
       GcsDestination gcs_destination = 2;
 
@@ -114,7 +116,7 @@ message BatchPredictionJob {
       // 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`](Status)
+      // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
@@ -139,6 +141,12 @@ message BatchPredictionJob {
       // format, into which the prediction output is written.
       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];
   }
 
   // Output only. Resource name of the BatchPredictionJob.

google/cloud/aiplatform/v1beta1/completion_stats.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "CompletionStatsProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Success and error statistics of processing multiple entities
 // (for example, DataItems or structured data rows) in batch.

google/cloud/aiplatform/v1beta1/context.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ContextProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general context.
 message Context {

google/cloud/aiplatform/v1beta1/custom_job.proto

@@ -28,10 +28,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "CustomJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a job that runs custom workloads such as a Docker container or a
 // Python package. A CustomJob can have multiple worker pools and each worker
@@ -88,6 +91,11 @@ message CustomJob {
   // then all resources created by the CustomJob will be encrypted with the
   // provided encryption key.
   EncryptionSpec encryption_spec = 12;
+
+  // Output only. The web access URIs for the training job.
+  // The keys are the node names in the training jobs, e.g. workerpool0-0.
+  // The values are the URIs for each node's web portal in the job.
+  map<string, string> web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents the spec of a CustomJob.
@@ -154,6 +162,10 @@ message CustomJobSpec {
       type: "aiplatform.googleapis.com/Tensorboard"
     }
   ];
+
+  // Optional. Vertex AI will enable web portal access to the containers. The portals
+  // can be accessed on web via the URLs given by [web_access_uris][].
+  bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Represents the spec of a worker pool in a job.

google/cloud/aiplatform/v1beta1/data_item.proto

@@ -18,15 +18,17 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "DataItemProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A piece of data in a Dataset. Could be an image, a video, a document or plain
 // text.

google/cloud/aiplatform/v1beta1/data_labeling_job.proto

@@ -28,10 +28,13 @@ import "google/rpc/status.proto";
 import "google/type/money.proto";
 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;
 option java_outer_classname = "DataLabelingJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // DataLabelingJob is used to trigger a human labeling job on unlabeled data
 // from the following Dataset:

google/cloud/aiplatform/v1beta1/dataset.proto

@@ -24,10 +24,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "DatasetProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A collection of DataItems and Annotations on them.
 message Dataset {

google/cloud/aiplatform/v1beta1/dataset_service.proto

@@ -29,10 +29,13 @@ import "google/cloud/aiplatform/v1beta1/training_pipeline.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.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;
 option java_outer_classname = "DatasetServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 service DatasetService {
   option (google.api.default_host) = "aiplatform.googleapis.com";

google/cloud/aiplatform/v1beta1/deployed_index_ref.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 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;
 option java_outer_classname = "DeployedIndexRefProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Points to a DeployedIndex.
 message DeployedIndexRef {

google/cloud/aiplatform/v1beta1/deployed_model_ref.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 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;
 option java_outer_classname = "DeployedModelNameProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Points to a DeployedModel.
 message DeployedModelRef {

google/cloud/aiplatform/v1beta1/encryption_spec.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 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;
 option java_outer_classname = "EncryptionSpecProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a customer-managed encryption key spec that can be applied to
 // a top-level resource.

google/cloud/aiplatform/v1beta1/endpoint.proto

@@ -25,10 +25,13 @@ import "google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "EndpointProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Models are deployed into it, and afterwards Endpoint is called to obtain
 // predictions and explanations.
@@ -87,6 +90,21 @@ message Endpoint {
   // Endpoint and all sub-resources of this Endpoint will be secured by
   // this key.
   EncryptionSpec encryption_spec = 10;
+
+  // The full name of the Google Compute Engine
+  // [network](/compute/docs/networks-and-firewalls#networks) to which the
+  // Endpoint should be peered.
+  //
+  // Private services access must already be configured for the network. If left
+  // unspecified, the Endpoint is not peered with any network.
+  //
+  // [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
+  // 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"
+                       }];
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -158,4 +176,22 @@ message DeployedModel {
   // receives prediction requests at a high queries per second rate (QPS).
   // 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.v1beta1.Endpoint.network] is configured.
+  PrivateEndpoints private_endpoints = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// PrivateEndpoints is used to provide paths for users to send
+// requests via private services access.
+message PrivateEndpoints {
+  // Output only. Http(s) path to send prediction requests.
+  string predict_http_uri = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Http(s) path to send explain requests.
+  string explain_http_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Http(s) path to send health check requests.
+  string health_http_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

google/cloud/aiplatform/v1beta1/endpoint_service.proto

@@ -25,10 +25,13 @@ 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";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EndpointServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 service EndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";

google/cloud/aiplatform/v1beta1/entity_type.proto

@@ -23,10 +23,13 @@ import "google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "EntityTypeProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // An entity type is a type of object in a system that needs to be modeled and
 // have stored information about. For example, driver is an entity type, and

google/cloud/aiplatform/v1beta1/env_var.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 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;
 option java_outer_classname = "EnvVarProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents an environment variable present in a Container or Python Module.
 message EnvVar {

google/cloud/aiplatform/v1beta1/event.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "EventProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // An edge describing the relationship between an Artifact and an Execution in
 // a lineage graph.

google/cloud/aiplatform/v1beta1/execution.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ExecutionProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general execution.
 message Execution {
@@ -51,6 +54,12 @@ message Execution {
 
     // The Execution has failed
     FAILED = 4;
+
+    // The Execution completed through Cache hit.
+    CACHED = 5;
+
+    // The Execution was cancelled.
+    CANCELLED = 6;
   }
 
   // Output only. The resource name of the Execution.

google/cloud/aiplatform/v1beta1/explanation.proto

@@ -22,10 +22,13 @@ import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/protobuf/struct.proto";
 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;
 option java_outer_classname = "ExplanationProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
 // produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].

google/cloud/aiplatform/v1beta1/explanation_metadata.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/protobuf/struct.proto";
 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;
 option java_outer_classname = "ExplanationMetadataProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Metadata describing the Model's input and output for explanation.
 message ExplanationMetadata {

google/cloud/aiplatform/v1beta1/feature.proto

@@ -23,10 +23,13 @@ import "google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "FeatureProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Feature Metadata information that describes an attribute of an entity type.
 // For example, apple is an entity type, and color is a feature that describes

google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "FeatureMonitoringStatsProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Stats and Anomaly generated at specific timestamp for specific Feature.
 // The start_time and end_time are used to define the time range of the dataset

google/cloud/aiplatform/v1beta1/feature_selector.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 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;
 option java_outer_classname = "FeatureSelectorProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Matcher for Features of an EntityType by Feature ID.
 message IdMatcher {

google/cloud/aiplatform/v1beta1/featurestore.proto

@@ -18,13 +18,17 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "FeaturestoreProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Featurestore configuration information on how the Featurestore is configured.
 message Featurestore {

google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/protobuf/duration.proto";
 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;
 option java_outer_classname = "FeaturestoreMonitoringProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Configuration of how features in Featurestore are monitored.
 message FeaturestoreMonitoringConfig {
@@ -47,6 +50,16 @@ message FeaturestoreMonitoringConfig {
     // Configuration of the snapshot analysis based monitoring pipeline
     // running interval. The value is rolled up to full day.
     google.protobuf.Duration monitoring_interval = 2;
+
+    // Configuration of the snapshot analysis based monitoring pipeline
+    // 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 [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.
+    int32 monitoring_interval_days = 3;
   }
 
   // The config for Snapshot Analysis Based Feature Monitoring.

google/cloud/aiplatform/v1beta1/featurestore_online_service.proto

@@ -24,10 +24,13 @@ import "google/cloud/aiplatform/v1beta1/feature_selector.proto";
 import "google/cloud/aiplatform/v1beta1/types.proto";
 import "google/protobuf/timestamp.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;
 option java_outer_classname = "FeaturestoreOnlineServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for serving online feature values.
 service FeaturestoreOnlineServingService {
@@ -157,12 +160,13 @@ message StreamingReadFeatureValuesRequest {
     }
   ];
 
-  // Required. IDs of entities to read Feature values of. 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.
+  // Required. Selector choosing Features of the target EntityType. Feature IDs will be
+  // deduplicated.
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
@@ -208,8 +212,8 @@ message FeatureValue {
     bytes bytes_value = 13;
   }
 
-  // Output only. Metadata of feature value.
-  Metadata metadata = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Metadata of feature value.
+  Metadata metadata = 14;
 }
 
 // Container for list of values.

google/cloud/aiplatform/v1beta1/featurestore_service.proto

@@ -31,10 +31,13 @@ import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 import "google/protobuf/timestamp.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;
 option java_outer_classname = "FeaturestoreServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // The service that handles CRUD and List for resources for Featurestore.
 service FeaturestoreService {
@@ -518,6 +521,13 @@ message ImportFeatureValuesResponse {
 // Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
 // (- Next Id: 6 -)
 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.v1beta1.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 {
@@ -559,6 +569,9 @@ message BatchReadFeatureValuesRequest {
     // Values in the timestamp column must use the RFC 3339 format, e.g.
     // `2012-07-30T10:43:17.123Z`.
     CsvSource csv_read_instances = 3;
+
+    // Similar to csv_read_instances, but from BigQuery source.
+    BigQuerySource bigquery_read_instances = 5;
   }
 
   // Required. The resource name of the Featurestore from which to query Feature values.
@@ -574,6 +587,15 @@ message BatchReadFeatureValuesRequest {
   // Required. Specifies output location and format.
   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
+  // Featurestore Entity.
+  //
+  // For BigQuery source, the type of the pass-through values will be
+  // automatically inferred. For CSV source, the pass-through values will be
+  // 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
   // [BatchReadFeatureValuesRequest.entity_type_specs] must have a column

google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto

@@ -26,10 +26,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "HyperparameterTuningJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a HyperparameterTuningJob. A HyperparameterTuningJob
 // has a Study specification and multiple CustomJobs with identical

google/cloud/aiplatform/v1beta1/index.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "IndexProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A representation of a collection of database items organized in a way that
 // allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

google/cloud/aiplatform/v1beta1/index_endpoint.proto

@@ -23,10 +23,13 @@ import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "IndexEndpointProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Indexes are deployed into it. An IndexEndpoint can have multiple
 // DeployedIndexes.
@@ -157,6 +160,18 @@ message DeployedIndex {
 
   // Optional. If set, the authentication is enabled for the private endpoint.
   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.
+  //
+  // If set, we will deploy the index within the provided ip ranges. Otherwise,
+  // the index might be deployed to any ip ranges under the provided VPC
+  // network.
+  //
+  // 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];
 }
 
 // Used to set up the auth on the DeployedIndex's private endpoint.

google/cloud/aiplatform/v1beta1/index_endpoint_service.proto

@@ -25,10 +25,13 @@ 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";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "IndexEndpointServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for managing Vertex AI's IndexEndpoints.
 service IndexEndpointService {
@@ -252,6 +255,9 @@ message DeployIndexResponse {
 message DeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
+
+  // The unique index id specified by user
+  string deployed_index_id = 2;
 }
 
 // Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].

google/cloud/aiplatform/v1beta1/index_service.proto

@@ -25,10 +25,13 @@ 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";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "IndexServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for creating and managing Vertex AI's Index resources.
 service IndexService {

google/cloud/aiplatform/v1beta1/io.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 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;
 option java_outer_classname = "IoProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // The storage details for Avro input content.
 message AvroSource {
@@ -72,7 +75,8 @@ message BigQueryDestination {
   // Accepted forms:
   //
   // *  BigQuery path. For example:
-  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+  // `bq://projectId` or `bq://projectId.bqDatasetId` or
+  // `bq://projectId.bqDatasetId.bqTableId`.
   string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1beta1/job_service.proto

@@ -31,10 +31,13 @@ import "google/protobuf/empty.proto";
 import "google/protobuf/field_mask.proto";
 import "google/protobuf/timestamp.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;
 option java_outer_classname = "JobServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for creating and managing Vertex AI's jobs.
 service JobService {

google/cloud/aiplatform/v1beta1/job_state.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "JobStateProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Describes the state of a job.
 enum JobState {

google/cloud/aiplatform/v1beta1/lineage_subgraph.proto

@@ -22,10 +22,13 @@ import "google/cloud/aiplatform/v1beta1/event.proto";
 import "google/cloud/aiplatform/v1beta1/execution.proto";
 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;
 option java_outer_classname = "LineageSubgraphProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A subgraph of the overall lineage graph. Event edges connect Artifact and
 // Execution nodes.

google/cloud/aiplatform/v1beta1/machine_resources.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
 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;
 option java_outer_classname = "MachineResourcesProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Specification of a single machine.
 message MachineSpec {
@@ -58,12 +61,11 @@ message DedicatedResources {
   ];
 
   // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-  // deployed on. If traffic against it increases, it may dynamically be
+  // 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
   // replicas may be freed.
-  // Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-  // above 0, currently the model will be always deployed precisely on
-  // [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count].
   int32 min_replica_count = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE

google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 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;
 option java_outer_classname = "ManualBatchTuningParametersProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Manual batch tuning parameters.
 message ManualBatchTuningParameters {

google/cloud/aiplatform/v1beta1/metadata_schema.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "MetadataSchemaProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general MetadataSchema.
 message MetadataSchema {

google/cloud/aiplatform/v1beta1/metadata_service.proto

@@ -31,10 +31,13 @@ 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";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "MetadataServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Service for reading and writing metadata entries.
 service MetadataService {
@@ -116,6 +119,31 @@ service MetadataService {
     option (google.api.method_signature) = "artifact,update_mask";
   }
 
+  // Deletes an Artifact.
+  rpc DeleteArtifact(DeleteArtifactRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Purges Artifacts.
+  rpc PurgeArtifacts(PurgeArtifactsRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/artifacts:purge"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent";
+    option (google.longrunning.operation_info) = {
+      response_type: "PurgeArtifactsResponse"
+      metadata_type: "PurgeArtifactsMetadata"
+    };
+  }
+
   // Creates a Context associated with a MetadataStore.
   rpc CreateContext(CreateContextRequest) returns (Context) {
     option (google.api.http) = {
@@ -162,6 +190,19 @@ service MetadataService {
     };
   }
 
+  // Purges Contexts.
+  rpc PurgeContexts(PurgeContextsRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/contexts:purge"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent";
+    option (google.longrunning.operation_info) = {
+      response_type: "PurgeContextsResponse"
+      metadata_type: "PurgeContextsMetadata"
+    };
+  }
+
   // 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.
@@ -229,6 +270,31 @@ service MetadataService {
     option (google.api.method_signature) = "execution,update_mask";
   }
 
+  // Deletes an Execution.
+  rpc DeleteExecution(DeleteExecutionRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*/executions/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Purges Executions.
+  rpc PurgeExecutions(PurgeExecutionsRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/executions:purge"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent";
+    option (google.longrunning.operation_info) = {
+      response_type: "PurgeExecutionsResponse"
+      metadata_type: "PurgeExecutionsMetadata"
+    };
+  }
+
   // Adds Events to the specified Execution. An Event indicates whether an
   // 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
@@ -514,6 +580,66 @@ message UpdateArtifactRequest {
   bool allow_missing = 3;
 }
 
+// Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
+message DeleteArtifactRequest {
+  // Required. The resource name of the Artifact to delete.
+  // Format:
+  // projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Artifact"
+    }
+  ];
+
+  // Optional. The etag of the Artifact to delete.
+  // If this is provided, it must match the server's etag. Otherwise, the
+  // request will fail with a FAILED_PRECONDITION.
+  string etag = 2 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+message PurgeArtifactsRequest {
+  // Required. The metadata store to purge Artifacts from.
+  // Format:
+  // projects/{project}/locations/{location}/metadataStores/{metadatastore}
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      child_type: "aiplatform.googleapis.com/Artifact"
+    }
+  ];
+
+  // Required. A required filter matching the Artifacts to be purged.
+  // E.g., update_time <= 2020-11-19T11:30:00-04:00.
+  string filter = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Flag to indicate to actually perform the purge.
+  // If `force` is set to false, the method will return a sample of
+  // Artifact names that would be deleted.
+  bool force = 3 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.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.
+  int64 purge_count = 1;
+
+  // A sample of the Artifact names that will be deleted.
+  // 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"
+                                    }];
+}
+
+// Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+message PurgeArtifactsMetadata {
+  // Operation metadata for purging Artifacts.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
 // Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
 message CreateContextRequest {
   // Required. The resource name of the MetadataStore where the Context should be
@@ -641,7 +767,7 @@ message UpdateContextRequest {
 
 // Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
 message DeleteContextRequest {
-  // Required. The resource name of the Context to retrieve.
+  // Required. The resource name of the Context to delete.
   // Format:
   // projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
   string name = 1 [
@@ -651,11 +777,56 @@ message DeleteContextRequest {
     }
   ];
 
-  // If set to true, any child resources of this Context will be deleted.
-  // (Otherwise, the request will fail with a FAILED_PRECONDITION error if the
-  // Context has any child resources, such as another Context, Artifact, or
-  // Execution).
+  // The force deletion semantics is still undefined.
+  // Users should not use this field.
   bool force = 2;
+
+  // Optional. The etag of the Context to delete.
+  // If this is provided, it must match the server's etag. Otherwise, the
+  // request will fail with a FAILED_PRECONDITION.
+  string etag = 3 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+message PurgeContextsRequest {
+  // Required. The metadata store to purge Contexts from.
+  // Format:
+  // projects/{project}/locations/{location}/metadataStores/{metadatastore}
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      child_type: "aiplatform.googleapis.com/Context"
+    }
+  ];
+
+  // Required. A required filter matching the Contexts to be purged.
+  // E.g., update_time <= 2020-11-19T11:30:00-04:00.
+  string filter = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Flag to indicate to actually perform the purge.
+  // If `force` is set to false, the method will return a sample of
+  // Context names that would be deleted.
+  bool force = 3 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.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.
+  int64 purge_count = 1;
+
+  // A sample of the Context names that will be deleted.
+  // 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"
+                                    }];
+}
+
+// Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+message PurgeContextsMetadata {
+  // Operation metadata for purging Contexts.
+  GenericOperationMetadata generic_metadata = 1;
 }
 
 // Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
@@ -857,6 +1028,67 @@ message UpdateExecutionRequest {
   bool allow_missing = 3;
 }
 
+// Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
+message DeleteExecutionRequest {
+  // Required. The resource name of the Execution to delete.
+  // Format:
+  // projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Execution"
+    }
+  ];
+
+  // Optional. The etag of the Execution to delete.
+  // If this is provided, it must match the server's etag. Otherwise, the
+  // request will fail with a FAILED_PRECONDITION.
+  string etag = 2 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+message PurgeExecutionsRequest {
+  // Required. The metadata store to purge Executions from.
+  // Format:
+  // projects/{project}/locations/{location}/metadataStores/{metadatastore}
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      child_type: "aiplatform.googleapis.com/Execution"
+    }
+  ];
+
+  // Required. A required filter matching the Executions to be purged.
+  // E.g., update_time <= 2020-11-19T11:30:00-04:00.
+  string filter = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Flag to indicate to actually perform the purge.
+  // If `force` is set to false, the method will return a sample of
+  // Execution names that would be deleted.
+  bool force = 3 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.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
+  // estimate.
+  int64 purge_count = 1;
+
+  // A sample of the Execution names that will be deleted.
+  // 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"
+                                    }];
+}
+
+// Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+message PurgeExecutionsMetadata {
+  // Operation metadata for purging Executions.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
 // Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
 message AddExecutionEventsRequest {
   // Required. The resource name of the Execution that the Events connect

google/cloud/aiplatform/v1beta1/metadata_store.proto

@@ -22,10 +22,13 @@ import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "MetadataProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a metadata store. Contains a set of metadata that can be
 // queried.

google/cloud/aiplatform/v1beta1/migratable_resource.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "MigratableResourceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 option (google.api.resource_definition) = {
   type: "ml.googleapis.com/Version"
   pattern: "projects/{project}/models/{model}/versions/{version}"

google/cloud/aiplatform/v1beta1/migration_service.proto

@@ -27,10 +27,13 @@ import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.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;
 option java_outer_classname = "MigrationServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service that migrates resources from automl.googleapis.com,
 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

google/cloud/aiplatform/v1beta1/model.proto

@@ -27,10 +27,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ModelProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A trained machine learning Model.
 message Model {

google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto

@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -27,10 +28,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ModelDeploymentMonitoringJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // The Model Monitoring Objective types.
 enum ModelDeploymentMonitoringObjectiveType {

google/cloud/aiplatform/v1beta1/model_evaluation.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ModelEvaluationProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A collection of metrics calculated by comparing Model's predictions on all of
 // the test data against annotations from the test data.

google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto

@@ -22,10 +22,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "ModelEvaluationSliceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A collection of metrics calculated by comparing Model's predictions on a
 // slice of the test data against ground truth annotations.

google/cloud/aiplatform/v1beta1/model_monitoring.proto

@@ -20,10 +20,13 @@ import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 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;
 option java_outer_classname = "ModelMonitoringProto";
 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
 message ModelMonitoringObjectiveConfig {
@@ -73,6 +76,11 @@ message ModelMonitoringObjectiveConfig {
     // feature. The threshold here is against feature distribution distance
     // between the training and prediction feature.
     map<string, ThresholdConfig> skew_thresholds = 1;
+
+    // Key is the feature name and value is the threshold. The threshold here is
+    // against attribution score distance between the training and prediction
+    // feature.
+    map<string, ThresholdConfig> attribution_score_skew_thresholds = 2;
   }
 
   // The config for Prediction data drift detection.
@@ -82,6 +90,52 @@ message ModelMonitoringObjectiveConfig {
     // feature. The threshold here is against feature distribution distance
     // between different time windws.
     map<string, ThresholdConfig> drift_thresholds = 1;
+
+    // Key is the feature name and value is the threshold. The threshold here is
+    // against attribution score distance between different time windows.
+    map<string, ThresholdConfig> attribution_score_drift_thresholds = 2;
+  }
+
+  // The config for integrated with Explainable AI. Only applicable if the Model
+  // has explanation_spec populated.
+  message ExplanationConfig {
+    // Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.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 {
+        // Should not be set.
+        PREDICTION_FORMAT_UNSPECIFIED = 0;
+
+        // Predictions are in JSONL files, consistent from the definition here
+        // (http://shortn/_4bS0hL7ofb).
+        JSONL = 2;
+
+        // Predictions are in BigQuery.
+        BIGQUERY = 3;
+      }
+
+      // The configuration specifying of BatchExplain job output. This can be
+      // used to generate the baseline of feature attribution scores.
+      oneof destination {
+        // Cloud Storage location for BatchExplain output.
+        GcsDestination gcs = 2;
+
+        // BigQuery location for BatchExplain output.
+        BigQueryDestination bigquery = 3;
+      }
+
+      // The storage format of the predictions generated BatchPrediction job.
+      PredictionFormat prediction_format = 1;
+    }
+
+    // If want to analyze the Explainable AI feature attribute scores or not.
+    // If set to true, Vertex AI will log the feature attributions from
+    // explain response and do the skew/drift detection for them.
+    bool enable_feature_attributes = 1;
+
+    // Predictions generated by the BatchPredictionJob using baseline dataset.
+    ExplanationBaseline explanation_baseline = 2;
   }
 
   // Training dataset for models. This field has to be set only if
@@ -93,6 +147,9 @@ message ModelMonitoringObjectiveConfig {
 
   // The config for drift of prediction data.
   PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
+
+  // The config for integrated with Explainable AI.
+  ExplanationConfig explanation_config = 5;
 }
 
 // Next ID: 2

google/cloud/aiplatform/v1beta1/model_service.proto

@@ -28,10 +28,13 @@ 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";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "ModelServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for managing Vertex AI's machine learning Models.
 service ModelService {

google/cloud/aiplatform/v1beta1/operation.proto

@@ -21,10 +21,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "OperationProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Generic Metadata shared by all operations.
 message GenericOperationMetadata {

google/cloud/aiplatform/v1beta1/pipeline_job.proto

@@ -29,10 +29,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "Pipeline";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 option (google.api.resource_definition) = {
   type: "compute.googleapis.com/Network"
   pattern: "projects/{project}/global/networks/{network}"

google/cloud/aiplatform/v1beta1/pipeline_service.proto

@@ -26,10 +26,13 @@ import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/field_mask.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;
 option java_outer_classname = "PipelineServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for creating and managing Vertex AI's pipelines. This includes both
 // `TrainingPipeline` resources (used for AutoML and custom training) and
@@ -189,22 +192,32 @@ message ListTrainingPipelinesRequest {
     }
   ];
 
-  // The standard list filter.
-  // Supported fields:
-  //
-  //   * `display_name` supports = and !=.
-  //
-  //   * `state` supports = and !=.
+  // Lists the PipelineJobs that match the filter expression. The following
+  // fields are supported:
   //
-  // Some examples of using the filter are:
+  // * `pipeline_name`: Supports `=` and `!=` comparisons.
+  // * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `labels`: Supports key-value equality and key presence.
   //
-  //  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+  // Filter expressions can be combined together using logical operators
+  // (`AND` & `OR`).
+  // For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
   //
-  //  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+  // The syntax to define filter expression is based on
+  // https://google.aip.dev/160.
   //
-  //  * `NOT display_name="my_pipeline"`
+  // Examples:
   //
-  //  * `state="PIPELINE_STATE_FAILED"`
+  // * `create_time>"2021-05-18T00:00:00Z" OR
+  //   update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
+  //   after 2020-05-18 00:00:00 UTC.
+  // * `labels.env = "prod"`
+  //   PipelineJobs with label "env" set to "prod".
   string filter = 2;
 
   // The standard list page size.

google/cloud/aiplatform/v1beta1/pipeline_state.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "PipelineStateProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Describes the state of a pipeline.
 enum PipelineState {

google/cloud/aiplatform/v1beta1/prediction_service.proto

@@ -19,14 +19,18 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/annotations.proto";
 import "google/api/client.proto";
 import "google/api/field_behavior.proto";
+import "google/api/httpbody.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/protobuf/struct.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;
 option java_outer_classname = "PredictionServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for online predictions and explanations.
 service PredictionService {

google/cloud/aiplatform/v1beta1/specialist_pool.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 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;
 option java_outer_classname = "SpecialistPoolProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // SpecialistPool represents customers' own workforce to work on their data
 // labeling jobs. It includes a group of specialist managers who are responsible

google/cloud/aiplatform/v1beta1/specialist_pool_service.proto

@@ -25,10 +25,13 @@ import "google/cloud/aiplatform/v1beta1/specialist_pool.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.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;
 option java_outer_classname = "SpecialistPoolServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A service for creating and managing Customer SpecialistPools.
 // When customers start Data Labeling jobs, they can reuse/create Specialist

google/cloud/aiplatform/v1beta1/study.proto

@@ -21,13 +21,15 @@ import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
-import "google/protobuf/wrappers.proto";
 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;
 option java_outer_classname = "StudyProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A message representing a Study.
 message Study {
@@ -168,6 +170,11 @@ message Trial {
       type: "aiplatform.googleapis.com/CustomJob"
     }
   ];
+
+  // Output only. The web access URIs for the training job.
+  // The keys are the node names in the training jobs, e.g. workerpool0-0.
+  // The values are the URIs for each node's web portal in the job.
+  map<string, string> web_access_uris = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents specification of a Study.
@@ -203,6 +210,14 @@ message StudySpec {
 
       // Required. Inclusive maximum value of the parameter.
       double max_value = 2 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `DOUBLE` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional double default_value = 4;
     }
 
     // Value specification for a parameter in `INTEGER` type.
@@ -212,12 +227,28 @@ message StudySpec {
 
       // Required. Inclusive maximum value of the parameter.
       int64 max_value = 2 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for an `INTEGER` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional int64 default_value = 4;
     }
 
     // Value specification for a parameter in `CATEGORICAL` type.
     message CategoricalValueSpec {
       // Required. The list of possible categories.
       repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `CATEGORICAL` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional string default_value = 3;
     }
 
     // Value specification for a parameter in `DISCRETE` type.
@@ -227,6 +258,15 @@ message StudySpec {
       // For instance, this parameter might have possible settings of 1.5, 2.5,
       // and 4.0. This list should not contain more than 1,000 values.
       repeated double values = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `DISCRETE` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.  It automatically rounds to the
+      // nearest feasible discrete point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional double default_value = 3;
     }
 
     // Represents a parameter spec with condition from its parent parameter.

google/cloud/aiplatform/v1beta1/tensorboard.proto

@@ -22,10 +22,13 @@ import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "TensorboardProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Tensorboard is a physical database that stores users' training metrics.
 // A default Tensorboard is provided in each region of a GCP project.

google/cloud/aiplatform/v1beta1/tensorboard_data.proto

@@ -21,10 +21,13 @@ import "google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "TensorboardDataProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // All the data stored in a TensorboardTimeSeries.
 message TimeSeriesData {

google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "TensorboardExperimentProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A TensorboardExperiment is a group of TensorboardRuns, that are typically the
 // results of a training job run, in a Tensorboard.

google/cloud/aiplatform/v1beta1/tensorboard_run.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "TensorboardRunProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // TensorboardRun maps to a specific execution of a training job with a given
 // set of hyperparameter values, model definition, dataset, etc

google/cloud/aiplatform/v1beta1/tensorboard_service.proto

@@ -29,10 +29,13 @@ import "google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.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;
 option java_outer_classname = "TensorboardServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // TensorboardService
 service TensorboardService {

google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 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;
 option java_outer_classname = "TensorboardTimeSeriesProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // TensorboardTimeSeries maps to times series produced in training runs
 message TensorboardTimeSeries {

google/cloud/aiplatform/v1beta1/training_pipeline.proto

@@ -29,10 +29,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 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;
 option java_outer_classname = "TrainingPipelineProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // The TrainingPipeline orchestrates tasks associated with training a Model. It
 // always executes the training task, and optionally may also

google/cloud/aiplatform/v1beta1/types.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "TypesProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A list of boolean values.
 message BoolArray {

google/cloud/aiplatform/v1beta1/user_action_reference.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "UserActionReferenceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // References an API call. It contains more information about long running
 // operation and Jobs that are triggered by the API call.

google/cloud/aiplatform/v1beta1/value.proto

@@ -18,10 +18,13 @@ 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;
 option java_outer_classname = "ValueProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Value is the value of the field.
 message Value {

google/cloud/aiplatform/v1beta1/vizier_service.proto

@@ -26,10 +26,13 @@ import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/timestamp.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;
 option java_outer_classname = "VizierServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Vertex Vizier API.
 //