kpt-grpc-demo/google/cloud/aiplatform/v1beta1/endpoint_service.proto

// 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.aiplatform.v1beta1;

import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/aiplatform/v1beta1/endpoint.proto";
import "google/cloud/aiplatform/v1beta1/operation.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/field_mask.proto";

option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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";

// A service for managing Vertex AI's Endpoints.
service EndpointService {
  option (google.api.default_host) = "aiplatform.googleapis.com";
  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";

  // Creates an Endpoint.
  rpc CreateEndpoint(CreateEndpointRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{parent=projects/*/locations/*}/endpoints"
      body: "endpoint"
    };
    option (google.api.method_signature) = "parent,endpoint";
    option (google.api.method_signature) = "parent,endpoint,endpoint_id";
    option (google.longrunning.operation_info) = {
      response_type: "Endpoint"
      metadata_type: "CreateEndpointOperationMetadata"
    };
  }

  // Gets an Endpoint.
  rpc GetEndpoint(GetEndpointRequest) returns (Endpoint) {
    option (google.api.http) = {
      get: "/v1beta1/{name=projects/*/locations/*/endpoints/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Lists Endpoints in a Location.
  rpc ListEndpoints(ListEndpointsRequest) returns (ListEndpointsResponse) {
    option (google.api.http) = {
      get: "/v1beta1/{parent=projects/*/locations/*}/endpoints"
    };
    option (google.api.method_signature) = "parent";
  }

  // Updates an Endpoint.
  rpc UpdateEndpoint(UpdateEndpointRequest) returns (Endpoint) {
    option (google.api.http) = {
      patch: "/v1beta1/{endpoint.name=projects/*/locations/*/endpoints/*}"
      body: "endpoint"
    };
    option (google.api.method_signature) = "endpoint,update_mask";
  }

  // Deletes an Endpoint.
  rpc DeleteEndpoint(DeleteEndpointRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1beta1/{name=projects/*/locations/*/endpoints/*}"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "google.protobuf.Empty"
      metadata_type: "DeleteOperationMetadata"
    };
  }

  // Deploys a Model into this Endpoint, creating a DeployedModel within it.
  rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:deployModel"
      body: "*"
    };
    option (google.api.method_signature) = "endpoint,deployed_model,traffic_split";
    option (google.longrunning.operation_info) = {
      response_type: "DeployModelResponse"
      metadata_type: "DeployModelOperationMetadata"
    };
  }

  // Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
  // freeing all resources it's using.
  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:undeployModel"
      body: "*"
    };
    option (google.api.method_signature) = "endpoint,deployed_model_id,traffic_split";
    option (google.longrunning.operation_info) = {
      response_type: "UndeployModelResponse"
      metadata_type: "UndeployModelOperationMetadata"
    };
  }
}

// Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
message CreateEndpointRequest {
  // Required. The resource name of the Location to create the Endpoint in.
  // Format: `projects/{project}/locations/{location}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "locations.googleapis.com/Location"
    }
  ];

  // Required. The Endpoint to create.
  Endpoint endpoint = 2 [(google.api.field_behavior) = REQUIRED];

  // Immutable. The ID to use for endpoint, which will become the final
  // component of the endpoint resource name.
  // If not provided, Vertex AI will generate a value for this ID.
  //
  // This value should be 1-10 characters, and valid characters are /[0-9]/.
  // When using HTTP/JSON, this field is populated based on a query string
  // argument, such as `?endpoint_id=12345`. This is the fallback for fields
  // that are not included in either the URI or the body.
  string endpoint_id = 4 [(google.api.field_behavior) = IMMUTABLE];
}

// Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
message CreateEndpointOperationMetadata {
  // The operation generic information.
  GenericOperationMetadata generic_metadata = 1;
}

// Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
message GetEndpointRequest {
  // Required. The name of the Endpoint resource.
  // Format:
  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Endpoint"
    }
  ];
}

// Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
message ListEndpointsRequest {
  // Required. The resource name of the Location from which to list the Endpoints.
  // Format: `projects/{project}/locations/{location}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "locations.googleapis.com/Location"
    }
  ];

  // Optional. An expression for filtering the results of the request. For field names
  // both snake_case and camelCase are supported.
  //
  //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
  //   * `display_name` supports = and, !=
  //   * `labels` supports general map functions that is:
  //     * `labels.key=value` - key:value equality
  //     * `labels.key:* or labels:key - key existence
  //     * A key including a space must be quoted. `labels."a key"`.
  //
  // Some examples:
  //   * `endpoint=1`
  //   * `displayName="myDisplayName"`
  //   * `labels.myKey="myValue"`
  string filter = 2 [(google.api.field_behavior) = OPTIONAL];

  // Optional. The standard list page size.
  int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];

  // Optional. The standard list page token.
  // Typically obtained via
  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
  string page_token = 4 [(google.api.field_behavior) = OPTIONAL];

  // Optional. Mask specifying which fields to read.
  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
}

// Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
message ListEndpointsResponse {
  // List of Endpoints in the requested page.
  repeated Endpoint endpoints = 1;

  // A token to retrieve the next page of results.
  // Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
  string next_page_token = 2;
}

// Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
message UpdateEndpointRequest {
  // Required. The Endpoint which replaces the resource on the server.
  Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];

  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
}

// Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
message DeleteEndpointRequest {
  // Required. The name of the Endpoint resource to be deleted.
  // Format:
  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Endpoint"
    }
  ];
}

// Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
message DeployModelRequest {
  // Required. The name of the Endpoint resource into which to deploy a Model.
  // Format:
  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
  string endpoint = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Endpoint"
    }
  ];

  // Required. The DeployedModel to be created within the Endpoint. Note that
  // [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
  // receiving traffic, either as part of this call, or via
  // [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
  DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];

  // A map from a DeployedModel's ID to the percentage of this Endpoint's
  // traffic that should be forwarded to that DeployedModel.
  //
  // If this field is non-empty, then the Endpoint's
  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
  // To refer to the ID of the just being deployed Model, a "0" should be used,
  // and the actual ID of the new DeployedModel will be filled in its place by
  // this method. The traffic percentage values must add up to 100.
  //
  // If this field is empty, then the Endpoint's
  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
  map<string, int32> traffic_split = 3;
}

// Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
message DeployModelResponse {
  // The DeployedModel that had been deployed in the Endpoint.
  DeployedModel deployed_model = 1;
}

// Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
message DeployModelOperationMetadata {
  // The operation generic information.
  GenericOperationMetadata generic_metadata = 1;
}

// Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
message UndeployModelRequest {
  // Required. The name of the Endpoint resource from which to undeploy a Model.
  // Format:
  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
  string endpoint = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Endpoint"
    }
  ];

  // Required. The ID of the DeployedModel to be undeployed from the Endpoint.
  string deployed_model_id = 2 [(google.api.field_behavior) = REQUIRED];

  // If this field is provided, then the Endpoint's
  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
  // last DeployedModel is being undeployed from the Endpoint, the
  // [Endpoint.traffic_split] will always end up empty when this call returns.
  // A DeployedModel will be successfully undeployed only if it doesn't have
  // any traffic assigned to it when this method executes, or if this field
  // unassigns any traffic to it.
  map<string, int32> traffic_split = 3;
}

// Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
message UndeployModelResponse {

}

// Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
message UndeployModelOperationMetadata {
  // The operation generic information.
  GenericOperationMetadata generic_metadata = 1;
}