xref: /aosp_15_r20/external/googleapis/google/cloud/visionai/v1alpha1/platform.proto (revision d5c09012810ac0c9f33fe448fb6da8260d444cc9)

// Copyright 2022 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

syntax = "proto3";

package google.cloud.visionai.v1alpha1;

import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/visionai/v1alpha1/annotations.proto";
import "google/cloud/visionai/v1alpha1/common.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/field_mask.proto";
import "google/protobuf/timestamp.proto";

option csharp_namespace = "Google.Cloud.VisionAI.V1Alpha1";
option go_package = "cloud.google.com/go/visionai/apiv1alpha1/visionaipb;visionaipb";
option java_multiple_files = true;
option java_outer_classname = "PlatformProto";
option java_package = "com.google.cloud.visionai.v1alpha1";
option php_namespace = "Google\\Cloud\\VisionAI\\V1alpha1";
option ruby_package = "Google::Cloud::VisionAI::V1alpha1";

// Service describing handlers for resources
service AppPlatform {
  option (google.api.default_host) = "visionai.googleapis.com";
  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";

  // Lists Applications in a given project and location.
  rpc ListApplications(ListApplicationsRequest) returns (ListApplicationsResponse) {
    option (google.api.http) = {
      get: "/v1alpha1/{parent=projects/*/locations/*}/applications"
    };
    option (google.api.method_signature) = "parent";
  }

  // Gets details of a single Application.
  rpc GetApplication(GetApplicationRequest) returns (Application) {
    option (google.api.http) = {
      get: "/v1alpha1/{name=projects/*/locations/*/applications/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Creates a new Application in a given project and location.
  rpc CreateApplication(CreateApplicationRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{parent=projects/*/locations/*}/applications"
      body: "application"
    };
    option (google.api.method_signature) = "parent,application";
    option (google.longrunning.operation_info) = {
      response_type: "Application"
      metadata_type: "OperationMetadata"
    };
  }

  // Updates the parameters of a single Application.
  rpc UpdateApplication(UpdateApplicationRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      patch: "/v1alpha1/{application.name=projects/*/locations/*/applications/*}"
      body: "application"
    };
    option (google.api.method_signature) = "application,update_mask";
    option (google.longrunning.operation_info) = {
      response_type: "Application"
      metadata_type: "OperationMetadata"
    };
  }

  // Deletes a single Application.
  rpc DeleteApplication(DeleteApplicationRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1alpha1/{name=projects/*/locations/*/applications/*}"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "google.protobuf.Empty"
      metadata_type: "OperationMetadata"
    };
  }

  // Deploys a single Application.
  rpc DeployApplication(DeployApplicationRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:deploy"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "DeployApplicationResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Undeploys a single Application.
  rpc UndeployApplication(UndeployApplicationRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:undeploy"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "UndeployApplicationResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Adds target stream input to the Application.
  // If the Application is deployed, the corresponding new Application instance
  // will be created. If the stream has already been in the Application, the RPC
  // will fail.
  rpc AddApplicationStreamInput(AddApplicationStreamInputRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:addStreamInput"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "AddApplicationStreamInputResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Remove target stream input to the Application, if the Application is
  // deployed, the corresponding instance based will be deleted. If the stream
  // is not in the Application, the RPC will fail.
  rpc RemoveApplicationStreamInput(RemoveApplicationStreamInputRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:removeStreamInput"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "RemoveApplicationStreamInputResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Update target stream input to the Application, if the Application is
  // deployed, the corresponding instance based will be deployed. For
  // CreateOrUpdate behavior, set allow_missing to true.
  rpc UpdateApplicationStreamInput(UpdateApplicationStreamInputRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:updateStreamInput"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "UpdateApplicationStreamInputResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Lists Instances in a given project and location.
  rpc ListInstances(ListInstancesRequest) returns (ListInstancesResponse) {
    option (google.api.http) = {
      get: "/v1alpha1/{parent=projects/*/locations/*/applications/*}/instances"
    };
    option (google.api.method_signature) = "parent";
  }

  // Gets details of a single Instance.
  rpc GetInstance(GetInstanceRequest) returns (Instance) {
    option (google.api.http) = {
      get: "/v1alpha1/{name=projects/*/locations/*/applications/*/instances/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Adds target stream input to the Application.
  // If the Application is deployed, the corresponding new Application instance
  // will be created. If the stream has already been in the Application, the RPC
  // will fail.
  rpc CreateApplicationInstances(CreateApplicationInstancesRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:createApplicationInstances"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "CreateApplicationInstancesResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Remove target stream input to the Application, if the Application is
  // deployed, the corresponding instance based will be deleted. If the stream
  // is not in the Application, the RPC will fail.
  rpc DeleteApplicationInstances(DeleteApplicationInstancesRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:deleteApplicationInstances"
      body: "*"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "Instance"
      metadata_type: "OperationMetadata"
    };
  }

  // Adds target stream input to the Application.
  // If the Application is deployed, the corresponding new Application instance
  // will be created. If the stream has already been in the Application, the RPC
  // will fail.
  rpc UpdateApplicationInstances(UpdateApplicationInstancesRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{name=projects/*/locations/*/applications/*}:updateApplicationInstances"
      body: "*"
    };
    option (google.api.method_signature) = "name, application_instances";
    option (google.longrunning.operation_info) = {
      response_type: "UpdateApplicationInstancesResponse"
      metadata_type: "OperationMetadata"
    };
  }

  // Lists Drafts in a given project and location.
  rpc ListDrafts(ListDraftsRequest) returns (ListDraftsResponse) {
    option (google.api.http) = {
      get: "/v1alpha1/{parent=projects/*/locations/*/applications/*}/drafts"
    };
    option (google.api.method_signature) = "parent";
  }

  // Gets details of a single Draft.
  rpc GetDraft(GetDraftRequest) returns (Draft) {
    option (google.api.http) = {
      get: "/v1alpha1/{name=projects/*/locations/*/applications/*/drafts/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Creates a new Draft in a given project and location.
  rpc CreateDraft(CreateDraftRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{parent=projects/*/locations/*/applications/*}/drafts"
      body: "draft"
    };
    option (google.api.method_signature) = "parent,draft,draft_id";
    option (google.longrunning.operation_info) = {
      response_type: "Draft"
      metadata_type: "OperationMetadata"
    };
  }

  // Updates the parameters of a single Draft.
  rpc UpdateDraft(UpdateDraftRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      patch: "/v1alpha1/{draft.name=projects/*/locations/*/applications/*/drafts/*}"
      body: "draft"
    };
    option (google.api.method_signature) = "draft,update_mask";
    option (google.longrunning.operation_info) = {
      response_type: "Draft"
      metadata_type: "OperationMetadata"
    };
  }

  // Deletes a single Draft.
  rpc DeleteDraft(DeleteDraftRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1alpha1/{name=projects/*/locations/*/applications/*/drafts/*}"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "google.protobuf.Empty"
      metadata_type: "OperationMetadata"
    };
  }

  // Lists Processors in a given project and location.
  rpc ListProcessors(ListProcessorsRequest) returns (ListProcessorsResponse) {
    option (google.api.http) = {
      get: "/v1alpha1/{parent=projects/*/locations/*}/processors"
    };
    option (google.api.method_signature) = "parent";
  }

  // ListPrebuiltProcessors is a custom pass-through verb that Lists Prebuilt
  // Processors.
  rpc ListPrebuiltProcessors(ListPrebuiltProcessorsRequest) returns (ListPrebuiltProcessorsResponse) {
    option (google.api.http) = {
      post: "/v1alpha1/{parent=projects/*/locations/*}/processors:prebuilt"
      body: "*"
    };
    option (google.api.method_signature) = "parent";
  }

  // Gets details of a single Processor.
  rpc GetProcessor(GetProcessorRequest) returns (Processor) {
    option (google.api.http) = {
      get: "/v1alpha1/{name=projects/*/locations/*/processors/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Creates a new Processor in a given project and location.
  rpc CreateProcessor(CreateProcessorRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1alpha1/{parent=projects/*/locations/*}/processors"
      body: "processor"
    };
    option (google.api.method_signature) = "parent,processor,processor_id";
    option (google.longrunning.operation_info) = {
      response_type: "Processor"
      metadata_type: "OperationMetadata"
    };
  }

  // Updates the parameters of a single Processor.
  rpc UpdateProcessor(UpdateProcessorRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      patch: "/v1alpha1/{processor.name=projects/*/locations/*/processors/*}"
      body: "processor"
    };
    option (google.api.method_signature) = "processor,update_mask";
    option (google.longrunning.operation_info) = {
      response_type: "Processor"
      metadata_type: "OperationMetadata"
    };
  }

  // Deletes a single Processor.
  rpc DeleteProcessor(DeleteProcessorRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1alpha1/{name=projects/*/locations/*/processors/*}"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "google.protobuf.Empty"
      metadata_type: "OperationMetadata"
    };
  }
}

// All the supported model types in Vision AI App Platform.
enum ModelType {
  // Processor Type UNSPECIFIED.
  MODEL_TYPE_UNSPECIFIED = 0;

  // Model Type Image Classification.
  IMAGE_CLASSIFICATION = 1;

  // Model Type Object Detection.
  OBJECT_DETECTION = 2;

  // Model Type Video Classification.
  VIDEO_CLASSIFICATION = 3;

  // Model Type Object Tracking.
  VIDEO_OBJECT_TRACKING = 4;

  // Model Type Action Recognition.
  VIDEO_ACTION_RECOGNITION = 5;

  // Model Type Occupancy Counting.
  OCCUPANCY_COUNTING = 6;

  // Model Type Person Blur.
  PERSON_BLUR = 7;

  // Model Type Vertex Custom.
  VERTEX_CUSTOM = 8;
}

// Represents a hardware accelerator type.
enum AcceleratorType {
  // Unspecified accelerator type, which means no accelerator.
  ACCELERATOR_TYPE_UNSPECIFIED = 0;

  // Nvidia Tesla K80 GPU.
  NVIDIA_TESLA_K80 = 1;

  // Nvidia Tesla P100 GPU.
  NVIDIA_TESLA_P100 = 2;

  // Nvidia Tesla V100 GPU.
  NVIDIA_TESLA_V100 = 3;

  // Nvidia Tesla P4 GPU.
  NVIDIA_TESLA_P4 = 4;

  // Nvidia Tesla T4 GPU.
  NVIDIA_TESLA_T4 = 5;

  // Nvidia Tesla A100 GPU.
  NVIDIA_TESLA_A100 = 8;

  // TPU v2.
  TPU_V2 = 6;

  // TPU v3.
  TPU_V3 = 7;
}

// Message for DeleteApplicationInstance Response.
message DeleteApplicationInstancesResponse {

}

// Message for CreateApplicationInstance Response.
message CreateApplicationInstancesResponse {

}

// Message for UpdateApplicationInstances Response.
message UpdateApplicationInstancesResponse {

}

// Message for adding stream input to an Application.
message CreateApplicationInstancesRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // Required. The resources being created.
  repeated ApplicationInstance application_instances = 2 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 4 [(google.api.field_behavior) = OPTIONAL];
}

// Message for removing stream input from an Application.
message DeleteApplicationInstancesRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // Required. Id of the requesting object.
  repeated string instance_ids = 2 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Instance"
    }
  ];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];
}

// RPC Request Messages.
// Message for DeployApplication Response.
message DeployApplicationResponse {

}

// Message for UndeployApplication Response.
message UndeployApplicationResponse {

}

// Message for RemoveApplicationStreamInput Response.
message RemoveApplicationStreamInputResponse {

}

// Message for AddApplicationStreamInput Response.
message AddApplicationStreamInputResponse {

}

// Message for AddApplicationStreamInput Response.
message UpdateApplicationStreamInputResponse {

}

// Message for requesting list of Applications.
message ListApplicationsRequest {
  // Required. Parent value for ListApplicationsRequest.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Application"
    }
  ];

  // Requested page size. Server may return fewer items than requested.
  // If unspecified, server will pick an appropriate default.
  int32 page_size = 2;

  // A token identifying a page of results the server should return.
  string page_token = 3;

  // Filtering results.
  string filter = 4;

  // Hint for how to order the results.
  string order_by = 5;
}

// Message for response to listing Applications.
message ListApplicationsResponse {
  // The list of Application.
  repeated Application applications = 1;

  // A token identifying a page of results the server should return.
  string next_page_token = 2;

  // Locations that could not be reached.
  repeated string unreachable = 3;
}

// Message for getting a Application.
message GetApplicationRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];
}

// Message for creating a Application.
message CreateApplicationRequest {
  // Required. Value for parent.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Application"
    }
  ];

  // Required. Id of the requesting object.
  string application_id = 2 [(google.api.field_behavior) = REQUIRED];

  // Required. The resource being created.
  Application application = 3 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 4 [(google.api.field_behavior) = OPTIONAL];
}

// Message for updating an Application.
message UpdateApplicationRequest {
  // Optional. Field mask is used to specify the fields to be overwritten in the
  // Application resource by the update.
  // The fields specified in the update_mask are relative to the resource, not
  // the full request. A field will be overwritten if it is in the mask. If the
  // user does not provide a mask then all fields will be overwritten.
  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = OPTIONAL];

  // Required. The resource being updated.
  Application application = 2 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];
}

// Message for deleting an Application.
message DeleteApplicationRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes after the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 2 [(google.api.field_behavior) = OPTIONAL];

  // Optional. If set to true, any instances and drafts from this application will also be
  // deleted. (Otherwise, the request will only work if the application has no
  // instances and drafts.)
  bool force = 3 [(google.api.field_behavior) = OPTIONAL];
}

// Message for deploying an Application.
message DeployApplicationRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // If set, validate the request and preview the application graph, but do not
  // actually deploy it.
  bool validate_only = 2;

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];

  // Optional. Whether or not to enable monitoring for the application on deployment.
  bool enable_monitoring = 4 [(google.api.field_behavior) = OPTIONAL];
}

// Message for undeploying an Application.
message UndeployApplicationRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 2 [(google.api.field_behavior) = OPTIONAL];
}

// Message about a single stream input config.
message ApplicationStreamInput {
  StreamWithAnnotation stream_with_annotation = 1;
}

// Message for adding stream input to an Application.
message AddApplicationStreamInputRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // The stream inputs to add, the stream resource name is the key of each
  // StreamInput, and it must be unique within each application.
  repeated ApplicationStreamInput application_stream_inputs = 2;

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];
}

// Message for updating stream input to an Application.
message UpdateApplicationStreamInputRequest {
  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // The stream inputs to update, the stream resource name is the key of each
  // StreamInput, and it must be unique within each application.
  repeated ApplicationStreamInput application_stream_inputs = 2;

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];

  // If true, UpdateApplicationStreamInput will insert stream input to
  // application even if the target stream is not included in the application.
  bool allow_missing = 4;
}

// Message for removing stream input from an Application.
message RemoveApplicationStreamInputRequest {
  // Message about target streamInput to remove.
  message TargetStreamInput {
    string stream = 1 [(google.api.resource_reference) = {
                         type: "visionai.googleapis.com/Stream"
                       }];
  }

  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  // The target stream to remove.
  repeated TargetStreamInput target_stream_inputs = 2;

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];
}

// Message for requesting list of Instances.
message ListInstancesRequest {
  // Required. Parent value for ListInstancesRequest.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Instance"
    }
  ];

  // Requested page size. Server may return fewer items than requested.
  // If unspecified, server will pick an appropriate default.
  int32 page_size = 2;

  // A token identifying a page of results the server should return.
  string page_token = 3;

  // Filtering results.
  string filter = 4;

  // Hint for how to order the results.
  string order_by = 5;
}

// Message for response to listing Instances.
message ListInstancesResponse {
  // The list of Instance.
  repeated Instance instances = 1;

  // A token identifying a page of results the server should return.
  string next_page_token = 2;

  // Locations that could not be reached.
  repeated string unreachable = 3;
}

// Message for getting a Instance.
message GetInstanceRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Instance"
    }
  ];
}

// Message for requesting list of Drafts.
message ListDraftsRequest {
  // Required. Parent value for ListDraftsRequest.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Draft"
    }
  ];

  // Requested page size. Server may return fewer items than requested.
  // If unspecified, server will pick an appropriate default.
  int32 page_size = 2;

  // A token identifying a page of results the server should return.
  string page_token = 3;

  // Filtering results.
  string filter = 4;

  // Hint for how to order the results.
  string order_by = 5;
}

// Message for response to listing Drafts.
message ListDraftsResponse {
  // The list of Draft.
  repeated Draft drafts = 1;

  // A token identifying a page of results the server should return.
  string next_page_token = 2;

  // Locations that could not be reached.
  repeated string unreachable = 3;
}

// Message for getting a Draft.
message GetDraftRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Draft"
    }
  ];
}

// Message for creating a Draft.
message CreateDraftRequest {
  // Required. Value for parent.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Draft"
    }
  ];

  // Required. Id of the requesting object.
  string draft_id = 2 [(google.api.field_behavior) = REQUIRED];

  // Required. The resource being created.
  Draft draft = 3 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 4 [(google.api.field_behavior) = OPTIONAL];
}

// Message for updating an Draft.
message UpdateDraftRequest {
  // Optional. Field mask is used to specify the fields to be overwritten in the
  // Draft resource by the update.
  // The fields specified in the update_mask are relative to the resource, not
  // the full request. A field will be overwritten if it is in the mask. If the
  // user does not provide a mask then all fields will be overwritten.
  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = OPTIONAL];

  // Required. The resource being updated.
  Draft draft = 2 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];

  // If true, UpdateDraftRequest will create one resource if the target resource
  // doesn't exist, this time, the field_mask will be ignored.
  bool allow_missing = 4;
}

// Message for updating an ApplicationInstance.
message UpdateApplicationInstancesRequest {
  message UpdateApplicationInstance {
    // Optional. Field mask is used to specify the fields to be overwritten in the
    // Draft resource by the update.
    // The fields specified in the update_mask are relative to the resource, not
    // the full request. A field will be overwritten if it is in the mask. If
    // the user does not provide a mask then all fields will be overwritten.
    google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = OPTIONAL];

    // Required. The resource being updated.
    Instance instance = 2 [(google.api.field_behavior) = REQUIRED];

    // Required. The id of the instance.
    string instance_id = 3 [(google.api.field_behavior) = REQUIRED];
  }

  // Required. the name of the application to retrieve.
  // Format:
  // "projects/{project}/locations/{location}/applications/{application}"
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Application"
    }
  ];

  repeated UpdateApplicationInstance application_instances = 2;

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];

  // If true, Update Request will create one resource if the target resource
  // doesn't exist, this time, the field_mask will be ignored.
  bool allow_missing = 4;
}

// Message for deleting an Draft.
message DeleteDraftRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Draft"
    }
  ];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes after the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 2 [(google.api.field_behavior) = OPTIONAL];
}

// Message for requesting list of Processors.
message ListProcessorsRequest {
  // Required. Parent value for ListProcessorsRequest.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Processor"
    }
  ];

  // Requested page size. Server may return fewer items than requested.
  // If unspecified, server will pick an appropriate default.
  int32 page_size = 2;

  // A token identifying a page of results the server should return.
  string page_token = 3;

  // Filtering results.
  string filter = 4;

  // Hint for how to order the results.
  string order_by = 5;
}

// Message for response to listing Processors.
message ListProcessorsResponse {
  // The list of Processor.
  repeated Processor processors = 1;

  // A token identifying a page of results the server should return.
  string next_page_token = 2;

  // Locations that could not be reached.
  repeated string unreachable = 3;
}

// Request Message for listing Prebuilt Processors.
message ListPrebuiltProcessorsRequest {
  // Required. Parent path.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Processor"
    }
  ];
}

// Response Message for listing Prebuilt Processors.
message ListPrebuiltProcessorsResponse {
  // The list of Processor.
  repeated Processor processors = 1;
}

// Message for getting a Processor.
message GetProcessorRequest {
  // Required. Name of the resource.
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Processor"
    }
  ];
}

// Message for creating a Processor.
message CreateProcessorRequest {
  // Required. Value for parent.
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      child_type: "visionai.googleapis.com/Processor"
    }
  ];

  // Required. Id of the requesting object.
  string processor_id = 2 [(google.api.field_behavior) = REQUIRED];

  // Required. The resource being created.
  Processor processor = 3 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 4 [(google.api.field_behavior) = OPTIONAL];
}

// Message for updating a Processor.
message UpdateProcessorRequest {
  // Optional. Field mask is used to specify the fields to be overwritten in the
  // Processor resource by the update.
  // The fields specified in the update_mask are relative to the resource, not
  // the full request. A field will be overwritten if it is in the mask. If the
  // user does not provide a mask then all fields will be overwritten.
  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = OPTIONAL];

  // Required. The resource being updated.
  Processor processor = 2 [(google.api.field_behavior) = REQUIRED];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes since the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 3 [(google.api.field_behavior) = OPTIONAL];
}

// Message for deleting a Processor.
message DeleteProcessorRequest {
  // Required. Name of the resource
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "visionai.googleapis.com/Processor"
    }
  ];

  // Optional. An optional request ID to identify requests. Specify a unique request ID
  // so that if you must retry your request, the server will know to ignore
  // the request if it has already been completed. The server will guarantee
  // that for at least 60 minutes after the first request.
  //
  // For example, consider a situation where you make an initial request and t
  // he request times out. If you make the request again with the same request
  // ID, the server can check if original operation with the same request ID
  // was received, and if so, will ignore the second request. This prevents
  // clients from accidentally creating duplicate commitments.
  //
  // The request ID must be a valid UUID with the exception that zero UUID is
  // not supported (00000000-0000-0000-0000-000000000000).
  string request_id = 2 [(google.api.field_behavior) = OPTIONAL];
}

// Message describing Application object
message Application {
  option (google.api.resource) = {
    type: "visionai.googleapis.com/Application"
    pattern: "projects/{project}/locations/{location}/applications/{application}"
    style: DECLARATIVE_FRIENDLY
  };

  // Message storing the runtime information of the application.
  message ApplicationRuntimeInfo {
    // Message about output resources from application.
    message GlobalOutputResource {
      // The full resource name of the outputted resources.
      string output_resource = 1;

      // The name of graph node who produces the output resource name.
      // For example:
      // output_resource:
      // /projects/123/locations/us-central1/corpora/my-corpus/dataSchemas/my-schema
      // producer_node: occupancy-count
      string producer_node = 2;

      // The key of the output resource, it has to be unique within the same
      // producer node. One producer node can output several output resources,
      // the key can be used to match corresponding output resources.
      string key = 3;
    }

    // Monitoring-related configuration for an application.
    message MonitoringConfig {
      // Whether this application has monitoring enabled.
      bool enabled = 1;
    }

    // Timestamp when the engine be deployed
    google.protobuf.Timestamp deploy_time = 1;

    // Globally created resources like warehouse dataschemas.
    repeated GlobalOutputResource global_output_resources = 3;

    // Monitoring-related configuration for this application.
    MonitoringConfig monitoring_config = 4;
  }

  // State of the Application
  enum State {
    // The default value. This value is used if the state is omitted.
    STATE_UNSPECIFIED = 0;

    // State CREATED.
    CREATED = 1;

    // State DEPLOYING.
    DEPLOYING = 2;

    // State DEPLOYED.
    DEPLOYED = 3;

    // State UNDEPLOYING.
    UNDEPLOYING = 4;

    // State DELETED.
    DELETED = 5;

    // State ERROR.
    ERROR = 6;

    // State CREATING.
    CREATING = 7;

    // State Updating.
    UPDATING = 8;

    // State Deleting.
    DELETING = 9;

    // State Fixing.
    FIXING = 10;
  }

  // name of resource
  string name = 1;

  // Output only. [Output only] Create timestamp
  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] Update timestamp
  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Labels as key value pairs
  map<string, string> labels = 4;

  // Required. A user friendly display name for the solution.
  string display_name = 5 [(google.api.field_behavior) = REQUIRED];

  // A description for this application.
  string description = 6;

  // Application graph configuration.
  ApplicationConfigs application_configs = 7;

  // Output only. Application graph runtime info. Only exists when application state equals
  // to DEPLOYED.
  ApplicationRuntimeInfo runtime_info = 8 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. State of the application.
  State state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
}

// Message storing the graph of the application.
message ApplicationConfigs {
  // message storing the config for event delivery
  message EventDeliveryConfig {
    // The delivery channel for the event notification, only pub/sub topic is
    // supported now.
    // Example channel:
    // [//pubsub.googleapis.com/projects/visionai-testing-stable/topics/test-topic]
    string channel = 1;

    // The expected delivery interval for the same event. The same event won't
    // be notified multiple times during this internal event that it is
    // happening multiple times during the period of time.The same event is
    // identified by <event_id, app_platform_metadata>.
    google.protobuf.Duration minimal_delivery_interval = 2;
  }

  // A list of nodes  in the application graph.
  repeated Node nodes = 1;

  // Event-related configuration for this application.
  EventDeliveryConfig event_delivery_config = 3;
}

// Message describing node object.
message Node {
  // Message describing one edge pointing into a node.
  message InputEdge {
    // The name of the parent node.
    string parent_node = 1;

    // The connected output artifact of the parent node.
    // It can be omitted if target processor only has 1 output artifact.
    string parent_output_channel = 2;

    // The connected input channel of the current node's processor.
    // It can be omitted if target processor only has 1 input channel.
    string connected_input_channel = 3;
  }

  oneof stream_output_config {
    // By default, the output of the node will only be available to downstream
    // nodes. To consume the direct output from the application node, the output
    // must be sent to Vision AI Streams at first.
    //
    // By setting output_all_output_channels_to_stream to true, App Platform
    // will automatically send all the outputs of the current node to Vision AI
    // Stream resources (one stream per output channel). The output stream
    // resource will be created by App Platform automatically during deployment
    // and deleted after application un-deployment.
    // Note that this config applies to all the Application Instances.
    //
    // The output stream can be override at instance level by
    // configuring the `output_resources` section of Instance resource.
    // `producer_node` should be current node, `output_resource_binding` should
    // be the output channel name (or leave it blank if there is only 1 output
    // channel of the processor) and `output_resource` should be the target
    // output stream.
    bool output_all_output_channels_to_stream = 6;
  }

  // Required. A unique name for the node.
  string name = 1 [(google.api.field_behavior) = REQUIRED];

  // A user friendly display name for the node.
  string display_name = 2;

  // Node config.
  ProcessorConfig node_config = 3;

  // Processor name refer to the chosen processor resource.
  string processor = 4;

  // Parent node. Input node should not have parent node. For V1 Alpha1/Beta
  // only media warehouse node can have multiple parents, other types of nodes
  // will only have one parent.
  repeated InputEdge parents = 5;
}

// Message describing Draft object
message Draft {
  option (google.api.resource) = {
    type: "visionai.googleapis.com/Draft"
    pattern: "projects/{project}/locations/{location}/applications/{application}/drafts/{draft}"
    style: DECLARATIVE_FRIENDLY
  };

  // name of resource
  string name = 1;

  // Output only. [Output only] Create timestamp
  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] Create timestamp
  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Labels as key value pairs
  map<string, string> labels = 3;

  // Required. A user friendly display name for the solution.
  string display_name = 4 [(google.api.field_behavior) = REQUIRED];

  // A description for this application.
  string description = 5;

  // The draft application configs which haven't been updated to an application.
  ApplicationConfigs draft_application_configs = 6;
}

// Message describing Instance object
message Instance {
  option (google.api.resource) = {
    type: "visionai.googleapis.com/Instance"
    pattern: "projects/{project}/locations/{location}/applications/{application}/instances/{instance}"
    style: DECLARATIVE_FRIENDLY
  };

  // Message of input resource used in one application instance.
  message InputResource {
    // Required. Specify the input to the application instance.
    oneof input_resource_information {
      // The direct input resource name.
      string input_resource = 1;

      // If the input resource is VisionAI Stream, the associated annotations
      // can be specified using annotated_stream instead.
      StreamWithAnnotation annotated_stream = 4 [deprecated = true];
    }

    // The name of graph node who receives the input resource.
    // For example:
    // input_resource:
    // visionai.googleapis.com/v1/projects/123/locations/us-central1/clusters/456/streams/input-stream-a
    // consumer_node: stream-input
    string consumer_node = 2;

    // The specific input resource binding which will consume the current Input
    // Resource, can be ignored is there is only 1 input binding.
    string input_resource_binding = 3;

    // Contains resource annotations.
    ResourceAnnotations annotations = 5;
  }

  // Message of output resource used in one application instance.
  message OutputResource {
    // The output resource name for the current application instance.
    string output_resource = 1;

    // The name of graph node who produces the output resource name.
    // For example:
    // output_resource:
    // /projects/123/locations/us-central1/clusters/456/streams/output-application-789-stream-a-occupancy-counting
    // producer_node: occupancy-counting
    string producer_node = 2;

    // The specific output resource binding which produces the current
    // OutputResource.
    string output_resource_binding = 4;

    // Output only. Whether the output resource is temporary which means the resource is
    // generated during the deployment of the application.
    // Temporary resource will be deleted during the undeployment of the
    // application.
    bool is_temporary = 3 [(google.api.field_behavior) = OUTPUT_ONLY];

    // Output only. Whether the output resource is created automatically by the Vision AI App
    // Platform.
    bool autogen = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
  }

  // State of the Instance
  enum State {
    // The default value. This value is used if the state is omitted.
    STATE_UNSPECIFIED = 0;

    // State CREATING.
    CREATING = 1;

    // State CREATED.
    CREATED = 2;

    // State DEPLOYING.
    DEPLOYING = 3;

    // State DEPLOYED.
    DEPLOYED = 4;

    // State UNDEPLOYING.
    UNDEPLOYING = 5;

    // State DELETED.
    DELETED = 6;

    // State ERROR.
    ERROR = 7;

    // State Updating
    UPDATING = 8;

    // State Deleting.
    DELETING = 9;

    // State Fixing.
    FIXING = 10;
  }

  // Output only. name of resource
  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] Create timestamp
  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] Update timestamp
  google.protobuf.Timestamp update_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Labels as key value pairs
  map<string, string> labels = 3;

  // Required. A user friendly display name for the solution.
  string display_name = 4 [(google.api.field_behavior) = REQUIRED];

  // A description for this application.
  string description = 5;

  // The input resources for the current application instance.
  // For example:
  // input_resources:
  // visionai.googleapis.com/v1/projects/123/locations/us-central1/clusters/456/streams/stream-a
  repeated InputResource input_resources = 6;

  // All the output resources associated to one application instance.
  repeated OutputResource output_resources = 7;

  // State of the instance.
  State state = 9;
}

// Message for creating a Instance.
message ApplicationInstance {
  // Required. Id of the requesting object.
  string instance_id = 1 [(google.api.field_behavior) = REQUIRED];

  // Required. The resource being created.
  Instance instance = 2 [(google.api.field_behavior) = REQUIRED];
}

// Message describing Processor object.
// Next ID: 18
message Processor {
  option (google.api.resource) = {
    type: "visionai.googleapis.com/Processor"
    pattern: "projects/{project}/locations/{location}/processors/{processor}"
    style: DECLARATIVE_FRIENDLY
  };

  // Type
  enum ProcessorType {
    // Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0;

    // Processor Type PRETRAINED.
    // Pretrained processor is developed by Vision AI App Platform with
    // state-of-the-art vision data processing functionality, like occupancy
    // counting or person blur. Pretrained processor is usually publicly
    // available.
    PRETRAINED = 1;

    // Processor Type CUSTOM.
    // Custom processors are specialized processors which are either uploaded by
    // customers or imported from other GCP platform (for example Vertex AI).
    // Custom processor is only visible to the creator.
    CUSTOM = 2;

    // Processor Type CONNECTOR.
    // Connector processors are special processors which perform I/O for the
    // application, they do not processing the data but either deliver the data
    // to other processors or receive data from other processors.
    CONNECTOR = 3;
  }

  enum ProcessorState {
    // Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0;

    // Processor is being created (not ready for use).
    CREATING = 1;

    // Processor is and ready for use.
    ACTIVE = 2;

    // Processor is being deleted (not ready for use).
    DELETING = 3;

    // Processor deleted or creation failed .
    FAILED = 4;
  }

  // name of resource.
  string name = 1;

  // Output only. [Output only] Create timestamp.
  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] Update timestamp.
  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Labels as key value pairs.
  map<string, string> labels = 4;

  // Required. A user friendly display name for the processor.
  string display_name = 5 [(google.api.field_behavior) = REQUIRED];

  // Illustrative sentences for describing the functionality of the processor.
  string description = 10;

  // Output only. Processor Type.
  ProcessorType processor_type = 6 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Model Type.
  ModelType model_type = 13;

  // Source info for customer created processor.
  CustomProcessorSourceInfo custom_processor_source_info = 7;

  // Output only. State of the Processor.
  ProcessorState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. [Output only] The input / output specifications of a processor, each type
  // of processor has fixed input / output specs which cannot be altered by
  // customer.
  ProcessorIOSpec processor_io_spec = 11 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. The corresponding configuration can be used in the Application to customize
  // the behavior of the processor.
  string configuration_typeurl = 14 [(google.api.field_behavior) = OUTPUT_ONLY];

  repeated StreamAnnotationType supported_annotation_types = 15 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Indicates if the processor supports post processing.
  bool supports_post_processing = 17;
}

// Message describing the input / output specifications of a processor.
message ProcessorIOSpec {
  // Message for input channel specification.
  message GraphInputChannelSpec {
    // The name of the current input channel.
    string name = 1;

    // The data types of the current input channel.
    // When this field has more than 1 value, it means this input channel can be
    // connected to either of these different data types.
    DataType data_type = 2;

    // If specified, only those detailed data types can be connected to the
    // processor. For example, jpeg stream for MEDIA, or PredictionResult proto
    // for PROTO type. If unspecified, then any proto is accepted.
    repeated string accepted_data_type_uris = 5;

    // Whether the current input channel is required by the processor.
    // For example, for a processor with required video input and optional audio
    // input, if video input is missing, the application will be rejected while
    // the audio input can be missing as long as the video input exists.
    bool required = 3;

    // How many input edges can be connected to this input channel. 0 means
    // unlimited.
    int64 max_connection_allowed = 4;
  }

  // Message for output channel specification.
  message GraphOutputChannelSpec {
    // The name of the current output channel.
    string name = 1;

    // The data type of the current output channel.
    DataType data_type = 2;

    string data_type_uri = 3;
  }

  // Message for instance resource channel specification.
  // External resources are virtual nodes which are not expressed in the
  // application graph. Each processor expresses its out-graph spec, so customer
  // is able to override the external source or destinations to the
  message InstanceResourceInputBindingSpec {
    oneof resource_type {
      // The configuration proto that includes the Googleapis resources. I.e.
      // type.googleapis.com/google.cloud.vision.v1.StreamWithAnnotation
      string config_type_uri = 2;

      // The direct type url of Googleapis resource. i.e.
      // type.googleapis.com/google.cloud.vision.v1.Asset
      string resource_type_uri = 3;
    }

    // Name of the input binding, unique within the processor.
    string name = 1;
  }

  message InstanceResourceOutputBindingSpec {
    // Name of the output binding, unique within the processor.
    string name = 1;

    // The resource type uri of the acceptable output resource.
    string resource_type_uri = 2;

    // Whether the output resource needs to be explicitly set in the instance.
    // If it is false, the processor will automatically generate it if required.
    bool explicit = 3;
  }

  // High level data types supported by the processor.
  enum DataType {
    // The default value of DataType.
    DATA_TYPE_UNSPECIFIED = 0;

    // Video data type like H264.
    VIDEO = 1;

    // Protobuf data type, usually used for general data blob.
    PROTO = 2;
  }

  // For processors with input_channel_specs, the processor must be explicitly
  // connected to another processor.
  repeated GraphInputChannelSpec graph_input_channel_specs = 3;

  // The output artifact specifications for the current processor.
  repeated GraphOutputChannelSpec graph_output_channel_specs = 4;

  // The input resource that needs to be fed from the application instance.
  repeated InstanceResourceInputBindingSpec instance_resource_input_binding_specs = 5;

  // The output resource that the processor will generate per instance.
  // Other than the explicitly listed output bindings here, all the processors'
  // GraphOutputChannels can be binded to stream resource. The bind name then is
  // the same as the GraphOutputChannel's name.
  repeated InstanceResourceOutputBindingSpec instance_resource_output_binding_specs = 6;
}

// Describes the source info for a custom processor.
message CustomProcessorSourceInfo {
  // The schema is defined as an OpenAPI 3.0.2 [Schema
  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
  message ModelSchema {
    // Cloud Storage location to a YAML file that defines the format of a single
    // instance used in prediction and explanation requests.
    GcsSource instances_schema = 1;

    // Cloud Storage location to a YAML file that defines the prediction and
    // explanation parameters.
    GcsSource parameters_schema = 2;

    // Cloud Storage location to a YAML file that defines the format of a single
    // prediction or explanation.
    GcsSource predictions_schema = 3;
  }

  // Source type of the imported custom processor.
  enum SourceType {
    // Source type unspecified.
    SOURCE_TYPE_UNSPECIFIED = 0;

    // Custom processors coming from Vertex AutoML product.
    VERTEX_AUTOML = 1;

    // Custom processors coming from general custom models from Vertex.
    VERTEX_CUSTOM = 2;
  }

  // The path where App Platform loads the artifacts for the custom processor.
  oneof artifact_path {
    // The resource name original model hosted in the vertex AI platform.
    string vertex_model = 2;
  }

  // The original product which holds the custom processor's functionality.
  SourceType source_type = 1;

  // Output only. Additional info related to the imported custom processor.
  // Data is filled in by app platform during the processor creation.
  map<string, string> additional_info = 4 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Model schema files which specifies the signature of the model.
  // For VERTEX_CUSTOM models, instances schema is required.
  // If instances schema is not specified during the processor creation,
  // VisionAI Platform will try to get it from Vertex, if it doesn't exist, the
  // creation will fail.
  ModelSchema model_schema = 5;
}

// Next ID: 24
message ProcessorConfig {
  oneof processor_config {
    // Configs of stream input processor.
    VideoStreamInputConfig video_stream_input_config = 9;

    // Config of AI-enabled input devices.
    AIEnabledDevicesInputConfig ai_enabled_devices_input_config = 20;

    // Configs of media warehouse processor.
    MediaWarehouseConfig media_warehouse_config = 10;

    // Configs of person blur processor.
    PersonBlurConfig person_blur_config = 11;

    // Configs of occupancy count processor.
    OccupancyCountConfig occupancy_count_config = 12;

    // Configs of Person Vehicle Detection processor.
    PersonVehicleDetectionConfig person_vehicle_detection_config = 15;

    // Configs of Vertex AutoML vision processor.
    VertexAutoMLVisionConfig vertex_automl_vision_config = 13;

    // Configs of Vertex AutoML video processor.
    VertexAutoMLVideoConfig vertex_automl_video_config = 14;

    // Configs of Vertex Custom processor.
    VertexCustomConfig vertex_custom_config = 17;

    // Configs of General Object Detection processor.
    GeneralObjectDetectionConfig general_object_detection_config = 18;

    // Configs of BigQuery processor.
    BigQueryConfig big_query_config = 19;

    // Configs of personal_protective_equipment_detection_config
    PersonalProtectiveEquipmentDetectionConfig personal_protective_equipment_detection_config = 22;
  }
}

// Message describing Vision AI stream with application specific annotations.
// All the StreamAnnotation object inside this message MUST have unique id.
message StreamWithAnnotation {
  // Message describing annotations specific to application node.
  message NodeAnnotation {
    // The node name of the application graph.
    string node = 1;

    // The node specific stream annotations.
    repeated StreamAnnotation annotations = 2;
  }

  // Vision AI Stream resource name.
  string stream = 1 [(google.api.resource_reference) = {
                       type: "visionai.googleapis.com/Stream"
                     }];

  // Annotations that will be applied to the whole application.
  repeated StreamAnnotation application_annotations = 2;

  // Annotations that will be applied to the specific node of the application.
  // If the same type of the annotations is applied to both application and
  // node, the node annotation will be added in addition to the global
  // application one.
  // For example, if there is one active zone annotation for the whole
  // application and one active zone annotation for the Occupancy Analytic
  // processor, then the Occupancy Analytic processor will have two active zones
  // defined.
  repeated NodeAnnotation node_annotations = 3;
}

// Message describing annotations specific to application node.
// This message is a duplication of StreamWithAnnotation.NodeAnnotation.
message ApplicationNodeAnnotation {
  // The node name of the application graph.
  string node = 1;

  // The node specific stream annotations.
  repeated StreamAnnotation annotations = 2;
}

// Message describing general annotation for resources.
message ResourceAnnotations {
  // Annotations that will be applied to the whole application.
  repeated StreamAnnotation application_annotations = 1;

  // Annotations that will be applied to the specific node of the application.
  // If the same type of the annotations is applied to both application and
  // node, the node annotation will be added in addition to the global
  // application one.
  // For example, if there is one active zone annotation for the whole
  // application and one active zone annotation for the Occupancy Analytic
  // processor, then the Occupancy Analytic processor will have two active zones
  // defined.
  repeated ApplicationNodeAnnotation node_annotations = 2;
}

// Message describing Video Stream Input Config.
// This message should only be used as a placeholder for builtin:stream-input
// processor, actual stream binding should be specified using corresponding
// API.
message VideoStreamInputConfig {
  repeated string streams = 1 [deprecated = true];

  repeated StreamWithAnnotation streams_with_annotation = 2 [deprecated = true];
}

// Message describing AI-enabled Devices Input Config.
message AIEnabledDevicesInputConfig {

}

// Message describing MediaWarehouseConfig.
message MediaWarehouseConfig {
  // Resource name of the Media Warehouse corpus.
  // Format:
  // projects/${project_id}/locations/${location_id}/corpora/${corpus_id}
  string corpus = 1;

  // Deprecated.
  string region = 2 [deprecated = true];

  // The duration for which all media assets, associated metadata, and search
  // documents can exist.
  google.protobuf.Duration ttl = 3;
}

// Message describing FaceBlurConfig.
message PersonBlurConfig {
  // Type of Person Blur
  enum PersonBlurType {
    // PersonBlur Type UNSPECIFIED.
    PERSON_BLUR_TYPE_UNSPECIFIED = 0;

    // FaceBlur Type full occlusion.
    FULL_OCCULUSION = 1;

    // FaceBlur Type blur filter.
    BLUR_FILTER = 2;
  }

  // Person blur type.
  PersonBlurType person_blur_type = 1;

  // Whether only blur faces other than the whole object in the processor.
  bool faces_only = 2;
}

// Message describing OccupancyCountConfig.
message OccupancyCountConfig {
  // Whether to count the appearances of people, output counts have 'people' as
  // the key.
  bool enable_people_counting = 1;

  // Whether to count the appearances of vehicles, output counts will have
  // 'vehicle' as the key.
  bool enable_vehicle_counting = 2;

  // Whether to track each invidual object's loitering time inside the scene or
  // specific zone.
  bool enable_dwelling_time_tracking = 3;
}

// Message describing PersonVehicleDetectionConfig.
message PersonVehicleDetectionConfig {
  // At least one of enable_people_counting and enable_vehicle_counting fields
  // must be set to true.
  // Whether to count the appearances of people, output counts have 'people' as
  // the key.
  bool enable_people_counting = 1;

  // Whether to count the appearances of vehicles, output counts will have
  // 'vehicle' as the key.
  bool enable_vehicle_counting = 2;
}

// Message describing PersonalProtectiveEquipmentDetectionConfig.
message PersonalProtectiveEquipmentDetectionConfig {
  // Whether to enable face coverage detection.
  bool enable_face_coverage_detection = 1;

  // Whether to enable head coverage detection.
  bool enable_head_coverage_detection = 2;

  // Whether to enable hands coverage detection.
  bool enable_hands_coverage_detection = 3;
}

// Message of configurations for General Object Detection processor.
message GeneralObjectDetectionConfig {

}

// Message of configurations for BigQuery processor.
message BigQueryConfig {
  // BigQuery table resource for Vision AI Platform to ingest annotations to.
  string table = 1;

  // Data Schema
  // By default, Vision AI Application will try to write annotations to the
  // target BigQuery table using the following schema:
  //
  // ingestion_time: TIMESTAMP, the ingestion time of the original data.
  //
  // application: STRING, name of the application which produces the annotation.
  //
  // instance: STRING, Id of the instance which produces the annotation.
  //
  // node: STRING, name of the application graph node which produces the
  // annotation.
  //
  // annotation: STRING or JSON, the actual annotation protobuf will be
  // converted to json string with bytes field as 64 encoded string. It can be
  // written to both String or Json type column.
  //
  // To forward annotation data to an existing BigQuery table, customer needs to
  // make sure the compatibility of the schema.
  // The map maps application node name to its corresponding cloud function
  // endpoint to transform the annotations directly to the
  // google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
  // proto_rows should be set). If configured, annotations produced by
  // corresponding application node will sent to the Cloud Function at first
  // before be forwarded to BigQuery.
  //
  // If the default table schema doesn't fit, customer is able to transform the
  // annotation output from Vision AI Application to arbitrary BigQuery table
  // schema with CloudFunction.
  // * The cloud function will receive AppPlatformCloudFunctionRequest where
  // the annotations field will be the json format of Vision AI annotation.
  // * The cloud function should return AppPlatformCloudFunctionResponse with
  // AppendRowsRequest stored in the annotations field.
  // * To drop the annotation, simply clear the annotations field in the
  // returned AppPlatformCloudFunctionResponse.
  map<string, string> cloud_function_mapping = 2;

  // If true, App Platform will create the BigQuery DataSet and the
  // BigQuery Table with default schema if the specified table doesn't exist.
  // This doesn't work if any cloud function customized schema is specified
  // since the system doesn't know your desired schema.
  // JSON column will be used in the default table created by App Platform.
  bool create_default_table_if_not_exists = 3;
}

// Message of configurations of Vertex AutoML Vision Processors.
message VertexAutoMLVisionConfig {
  // Only entities with higher score than the threshold will be returned.
  // Value 0.0 means to return all the detected entities.
  float confidence_threshold = 1;

  // At most this many predictions will be returned per output frame.
  // Value 0 means to return all the detected entities.
  int32 max_predictions = 2;
}

// Message describing VertexAutoMLVideoConfig.
message VertexAutoMLVideoConfig {
  // Only entities with higher score than the threshold will be returned.
  // Value 0.0 means returns all the detected entities.
  float confidence_threshold = 1;

  // Labels specified in this field won't be returned.
  repeated string blocked_labels = 2;

  // At most this many predictions will be returned per output frame.
  // Value 0 means to return all the detected entities.
  int32 max_predictions = 3;

  // Only Bounding Box whose size is larger than this limit will be returned.
  // Object Tracking only.
  // Value 0.0 means to return all the detected entities.
  float bounding_box_size_limit = 4;
}

// Message describing VertexCustomConfig.
message VertexCustomConfig {
  // The max prediction frame per second. This attribute sets how fast the
  // operator sends prediction requests to Vertex AI endpoint. Default value is
  // 0, which means there is no max prediction fps limit. The operator sends
  // prediction requests at input fps.
  int32 max_prediction_fps = 1;

  // A description of resources that are dedicated to the DeployedModel, and
  // that need a higher degree of manual configuration.
  DedicatedResources dedicated_resources = 2;

  // If not empty, the prediction result will be sent to the specified cloud
  // function for post processing.
  // * The cloud function will receive AppPlatformCloudFunctionRequest where
  // the annotations field will be the json format of proto PredictResponse.
  // * The cloud function should return AppPlatformCloudFunctionResponse with
  // PredictResponse stored in the annotations field.
  // * To drop the prediction output, simply clear the payload field in the
  // returned AppPlatformCloudFunctionResponse.
  string post_processing_cloud_function = 3;

  // If true, the prediction request received by custom model will also contain
  // metadata with the following schema:
  // 'appPlatformMetadata': {
  //       'ingestionTime': DOUBLE; (UNIX timestamp)
  //       'application': STRING;
  //       'instanceId': STRING;
  //       'node': STRING;
  //       'processor': STRING;
  //  }
  bool attach_application_metadata = 4;
}

// Specification of a single machine.
message MachineSpec {
  // Immutable. The type of the machine.
  //
  // See the [list of machine types supported for
  // prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
  //
  // See the [list of machine types supported for custom
  // training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
  //
  // For [DeployedModel][] this field is optional, and the default
  // value is `n1-standard-2`. For [BatchPredictionJob][] or as part of
  // [WorkerPoolSpec][] this field is required.
  string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];

  // Immutable. The type of accelerator(s) that may be attached to the machine as per
  // [accelerator_count][google.cloud.visionai.v1alpha1.MachineSpec.accelerator_count].
  AcceleratorType accelerator_type = 2 [(google.api.field_behavior) = IMMUTABLE];

  // The number of accelerators to attach to the machine.
  int32 accelerator_count = 3;
}

// The metric specification that defines the target resource utilization
// (CPU utilization, accelerator's duty cycle, and so on) for calculating the
// desired replica count.
message AutoscalingMetricSpec {
  // Required. The resource metric name.
  // Supported metrics:
  //
  // * For Online Prediction:
  // * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
  // * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
  string metric_name = 1 [(google.api.field_behavior) = REQUIRED];

  // The target resource utilization in percentage (1% - 100%) for the given
  // metric; once the real usage deviates from the target by a certain
  // percentage, the machine replicas change. The default value is 60
  // (representing 60%) if not provided.
  int32 target = 2;
}

// A description of resources that are dedicated to a DeployedModel, and
// that need a higher degree of manual configuration.
message DedicatedResources {
  // Required. Immutable. The specification of a single machine used by the prediction.
  MachineSpec machine_spec = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.field_behavior) = IMMUTABLE
  ];

  // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
  // deployed on. This value must be greater than or equal to 1.
  //
  // 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.
  int32 min_replica_count = 2 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.field_behavior) = IMMUTABLE
  ];

  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
  // the traffic against it increases. If the requested value is too large,
  // the deployment will error, but if deployment succeeds then the ability
  // to scale the model to that many replicas is guaranteed (barring service
  // outages). If traffic against the DeployedModel increases beyond what its
  // replicas at maximum may handle, a portion of the traffic will be dropped.
  // If this value is not provided, will use [min_replica_count][google.cloud.visionai.v1alpha1.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
  // utilization metric (CPU utilization, accelerator's duty cycle, and so on)
  // target value (default to 60 if not set). At most one entry is allowed per
  // metric.
  //
  // If [machine_spec.accelerator_count][google.cloud.visionai.v1alpha1.MachineSpec.accelerator_count] is
  // above 0, the autoscaling will be based on both CPU utilization and
  // accelerator's duty cycle metrics and scale up when either metrics exceeds
  // its target value while scale down if both metrics are under their target
  // value. The default target value is 60 for both metrics.
  //
  // If [machine_spec.accelerator_count][google.cloud.visionai.v1alpha1.MachineSpec.accelerator_count] is
  // 0, the autoscaling will be based on CPU utilization metric only with
  // default target value 60 if not explicitly set.
  //
  // For example, in the case of Online Prediction, if you want to override
  // target CPU utilization to 80, you should set
  // [autoscaling_metric_specs.metric_name][google.cloud.visionai.v1alpha1.AutoscalingMetricSpec.metric_name]
  // to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
  // [autoscaling_metric_specs.target][google.cloud.visionai.v1alpha1.AutoscalingMetricSpec.target] to `80`.
  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4 [(google.api.field_behavior) = IMMUTABLE];
}