// Copyright 2021 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.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]; } // 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 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 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; }