cloud.google.com/go/aiplatform@v1.106.0/apiv1/aiplatformpb/endpoint_service.pb.go

// Copyright 2025 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.

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.35.2
// 	protoc        v4.25.7
// source: google/cloud/aiplatform/v1/endpoint_service.proto

package aiplatformpb

import (
	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
	_ "google.golang.org/genproto/googleapis/api/annotations"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	_ "google.golang.org/protobuf/types/known/emptypb"
	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
	reflect "reflect"
	sync "sync"
)

const (
	// Verify that this generated code is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
	// Verify that runtime/protoimpl is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)

// Request message for
// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
type CreateEndpointRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to create the Endpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Endpoint to create.
	Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// 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.
	//
	// If the first character is a letter, this value may be up to 63 characters,
	// and valid characters are `[a-z0-9-]`. The last character must be a letter
	// or number.
	//
	// If the first character is a number, this value may be up to 9 characters,
	// and valid characters are `[0-9]` with no leading zeros.
	//
	// 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.
	EndpointId string `protobuf:"bytes,4,opt,name=endpoint_id,json=endpointId,proto3" json:"endpoint_id,omitempty"`
}

func (x *CreateEndpointRequest) Reset() {
	*x = CreateEndpointRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *CreateEndpointRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateEndpointRequest) ProtoMessage() {}

func (x *CreateEndpointRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateEndpointRequest.ProtoReflect.Descriptor instead.
func (*CreateEndpointRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{0}
}

func (x *CreateEndpointRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *CreateEndpointRequest) GetEndpoint() *Endpoint {
	if x != nil {
		return x.Endpoint
	}
	return nil
}

func (x *CreateEndpointRequest) GetEndpointId() string {
	if x != nil {
		return x.EndpointId
	}
	return ""
}

// Runtime operation information for
// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
type CreateEndpointOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. The deployment stage of the model. Only populated if this
	// CreateEndpoint request deploys a model at the same time.
	DeploymentStage DeploymentStage `protobuf:"varint,2,opt,name=deployment_stage,json=deploymentStage,proto3,enum=google.cloud.aiplatform.v1.DeploymentStage" json:"deployment_stage,omitempty"`
}

func (x *CreateEndpointOperationMetadata) Reset() {
	*x = CreateEndpointOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *CreateEndpointOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateEndpointOperationMetadata) ProtoMessage() {}

func (x *CreateEndpointOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[1]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateEndpointOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateEndpointOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{1}
}

func (x *CreateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

func (x *CreateEndpointOperationMetadata) GetDeploymentStage() DeploymentStage {
	if x != nil {
		return x.DeploymentStage
	}
	return DeploymentStage_DEPLOYMENT_STAGE_UNSPECIFIED
}

// Request message for
// [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
type GetEndpointRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Endpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *GetEndpointRequest) Reset() {
	*x = GetEndpointRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[2]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *GetEndpointRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GetEndpointRequest) ProtoMessage() {}

func (x *GetEndpointRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[2]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetEndpointRequest.ProtoReflect.Descriptor instead.
func (*GetEndpointRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{2}
}

func (x *GetEndpointRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Request message for
// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
type ListEndpointsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location from which to list the
	// Endpoints. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// 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.v1.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"`.
	//   - `base_model_name` only supports `=`.
	//
	// Some examples:
	//
	//   - `endpoint=1`
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	//   - `baseModelName="text-bison"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
	// of the previous
	// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListEndpointsRequest) Reset() {
	*x = ListEndpointsRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[3]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *ListEndpointsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListEndpointsRequest) ProtoMessage() {}

func (x *ListEndpointsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[3]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListEndpointsRequest.ProtoReflect.Descriptor instead.
func (*ListEndpointsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{3}
}

func (x *ListEndpointsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListEndpointsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListEndpointsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListEndpointsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListEndpointsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
type ListEndpointsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of Endpoints in the requested page.
	Endpoints []*Endpoint `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListEndpointsResponse) Reset() {
	*x = ListEndpointsResponse{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[4]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *ListEndpointsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListEndpointsResponse) ProtoMessage() {}

func (x *ListEndpointsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[4]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListEndpointsResponse.ProtoReflect.Descriptor instead.
func (*ListEndpointsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{4}
}

func (x *ListEndpointsResponse) GetEndpoints() []*Endpoint {
	if x != nil {
		return x.Endpoints
	}
	return nil
}

func (x *ListEndpointsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
type UpdateEndpointRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The Endpoint which replaces the resource on the server.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}

func (x *UpdateEndpointRequest) Reset() {
	*x = UpdateEndpointRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[5]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UpdateEndpointRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UpdateEndpointRequest) ProtoMessage() {}

func (x *UpdateEndpointRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[5]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateEndpointRequest.ProtoReflect.Descriptor instead.
func (*UpdateEndpointRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{5}
}

func (x *UpdateEndpointRequest) GetEndpoint() *Endpoint {
	if x != nil {
		return x.Endpoint
	}
	return nil
}

func (x *UpdateEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.UpdateMask
	}
	return nil
}

// Request message for
// [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
type UpdateEndpointLongRunningRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The Endpoint which replaces the resource on the server. Currently
	// we only support updating the `client_connection_config` field, all the
	// other fields' update will be blocked.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
}

func (x *UpdateEndpointLongRunningRequest) Reset() {
	*x = UpdateEndpointLongRunningRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[6]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UpdateEndpointLongRunningRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UpdateEndpointLongRunningRequest) ProtoMessage() {}

func (x *UpdateEndpointLongRunningRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[6]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateEndpointLongRunningRequest.ProtoReflect.Descriptor instead.
func (*UpdateEndpointLongRunningRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{6}
}

func (x *UpdateEndpointLongRunningRequest) GetEndpoint() *Endpoint {
	if x != nil {
		return x.Endpoint
	}
	return nil
}

// Runtime operation information for
// [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
type UpdateEndpointOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *UpdateEndpointOperationMetadata) Reset() {
	*x = UpdateEndpointOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[7]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UpdateEndpointOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UpdateEndpointOperationMetadata) ProtoMessage() {}

func (x *UpdateEndpointOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[7]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateEndpointOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateEndpointOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{7}
}

func (x *UpdateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
type DeleteEndpointRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Endpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteEndpointRequest) Reset() {
	*x = DeleteEndpointRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[8]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *DeleteEndpointRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeleteEndpointRequest) ProtoMessage() {}

func (x *DeleteEndpointRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[8]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteEndpointRequest.ProtoReflect.Descriptor instead.
func (*DeleteEndpointRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{8}
}

func (x *DeleteEndpointRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Request message for
// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
type DeployModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Endpoint resource into which to deploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be created within the Endpoint. Note that
	// [Endpoint.traffic_split][google.cloud.aiplatform.v1.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.v1.EndpointService.UpdateEndpoint].
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// 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.v1.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.v1.Endpoint.traffic_split] is not
	// updated.
	TrafficSplit map[string]int32 `protobuf:"bytes,3,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
}

func (x *DeployModelRequest) Reset() {
	*x = DeployModelRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[9]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *DeployModelRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeployModelRequest) ProtoMessage() {}

func (x *DeployModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[9]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead.
func (*DeployModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{9}
}

func (x *DeployModelRequest) GetEndpoint() string {
	if x != nil {
		return x.Endpoint
	}
	return ""
}

func (x *DeployModelRequest) GetDeployedModel() *DeployedModel {
	if x != nil {
		return x.DeployedModel
	}
	return nil
}

func (x *DeployModelRequest) GetTrafficSplit() map[string]int32 {
	if x != nil {
		return x.TrafficSplit
	}
	return nil
}

// Response message for
// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
type DeployModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The DeployedModel that had been deployed in the Endpoint.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
}

func (x *DeployModelResponse) Reset() {
	*x = DeployModelResponse{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[10]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *DeployModelResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeployModelResponse) ProtoMessage() {}

func (x *DeployModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[10]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeployModelResponse.ProtoReflect.Descriptor instead.
func (*DeployModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{10}
}

func (x *DeployModelResponse) GetDeployedModel() *DeployedModel {
	if x != nil {
		return x.DeployedModel
	}
	return nil
}

// Runtime operation information for
// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
type DeployModelOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. The deployment stage of the model.
	DeploymentStage DeploymentStage `protobuf:"varint,2,opt,name=deployment_stage,json=deploymentStage,proto3,enum=google.cloud.aiplatform.v1.DeploymentStage" json:"deployment_stage,omitempty"`
}

func (x *DeployModelOperationMetadata) Reset() {
	*x = DeployModelOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[11]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *DeployModelOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeployModelOperationMetadata) ProtoMessage() {}

func (x *DeployModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[11]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeployModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeployModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{11}
}

func (x *DeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

func (x *DeployModelOperationMetadata) GetDeploymentStage() DeploymentStage {
	if x != nil {
		return x.DeploymentStage
	}
	return DeploymentStage_DEPLOYMENT_STAGE_UNSPECIFIED
}

// Request message for
// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
type UndeployModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Endpoint resource from which to undeploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The ID of the DeployedModel to be undeployed from the Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// If this field is provided, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1.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.
	TrafficSplit map[string]int32 `protobuf:"bytes,3,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
}

func (x *UndeployModelRequest) Reset() {
	*x = UndeployModelRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[12]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UndeployModelRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UndeployModelRequest) ProtoMessage() {}

func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[12]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead.
func (*UndeployModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{12}
}

func (x *UndeployModelRequest) GetEndpoint() string {
	if x != nil {
		return x.Endpoint
	}
	return ""
}

func (x *UndeployModelRequest) GetDeployedModelId() string {
	if x != nil {
		return x.DeployedModelId
	}
	return ""
}

func (x *UndeployModelRequest) GetTrafficSplit() map[string]int32 {
	if x != nil {
		return x.TrafficSplit
	}
	return nil
}

// Response message for
// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
type UndeployModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields
}

func (x *UndeployModelResponse) Reset() {
	*x = UndeployModelResponse{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[13]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UndeployModelResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UndeployModelResponse) ProtoMessage() {}

func (x *UndeployModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[13]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UndeployModelResponse.ProtoReflect.Descriptor instead.
func (*UndeployModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{13}
}

// Runtime operation information for
// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
type UndeployModelOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *UndeployModelOperationMetadata) Reset() {
	*x = UndeployModelOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[14]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *UndeployModelOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UndeployModelOperationMetadata) ProtoMessage() {}

func (x *UndeployModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[14]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UndeployModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*UndeployModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{14}
}

func (x *UndeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
type MutateDeployedModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Endpoint resource into which to mutate a
	// DeployedModel. Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be mutated within the Endpoint. Only the
	// following fields can be mutated:
	//
	// * `min_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * `max_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * `required_replica_count` in
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources]
	// * [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs]
	// * `disable_container_logging` (v1 only)
	// * `enable_container_logging` (v1beta1 only)
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}

func (x *MutateDeployedModelRequest) Reset() {
	*x = MutateDeployedModelRequest{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[15]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MutateDeployedModelRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MutateDeployedModelRequest) ProtoMessage() {}

func (x *MutateDeployedModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[15]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MutateDeployedModelRequest.ProtoReflect.Descriptor instead.
func (*MutateDeployedModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{15}
}

func (x *MutateDeployedModelRequest) GetEndpoint() string {
	if x != nil {
		return x.Endpoint
	}
	return ""
}

func (x *MutateDeployedModelRequest) GetDeployedModel() *DeployedModel {
	if x != nil {
		return x.DeployedModel
	}
	return nil
}

func (x *MutateDeployedModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.UpdateMask
	}
	return nil
}

// Response message for
// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
type MutateDeployedModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The DeployedModel that's being mutated.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
}

func (x *MutateDeployedModelResponse) Reset() {
	*x = MutateDeployedModelResponse{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[16]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MutateDeployedModelResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MutateDeployedModelResponse) ProtoMessage() {}

func (x *MutateDeployedModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[16]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MutateDeployedModelResponse.ProtoReflect.Descriptor instead.
func (*MutateDeployedModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{16}
}

func (x *MutateDeployedModelResponse) GetDeployedModel() *DeployedModel {
	if x != nil {
		return x.DeployedModel
	}
	return nil
}

// Runtime operation information for
// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
type MutateDeployedModelOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *MutateDeployedModelOperationMetadata) Reset() {
	*x = MutateDeployedModelOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[17]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MutateDeployedModelOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MutateDeployedModelOperationMetadata) ProtoMessage() {}

func (x *MutateDeployedModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes[17]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MutateDeployedModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*MutateDeployedModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP(), []int{17}
}

func (x *MutateDeployedModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

var File_google_cloud_aiplatform_v1_endpoint_service_proto protoreflect.FileDescriptor

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	0x74, 0x6f, 0x33,
}

var (
	file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescData = file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes = make([]protoimpl.MessageInfo, 20)
var file_google_cloud_aiplatform_v1_endpoint_service_proto_goTypes = []any{
	(*CreateEndpointRequest)(nil),                // 0: google.cloud.aiplatform.v1.CreateEndpointRequest
	(*CreateEndpointOperationMetadata)(nil),      // 1: google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
	(*GetEndpointRequest)(nil),                   // 2: google.cloud.aiplatform.v1.GetEndpointRequest
	(*ListEndpointsRequest)(nil),                 // 3: google.cloud.aiplatform.v1.ListEndpointsRequest
	(*ListEndpointsResponse)(nil),                // 4: google.cloud.aiplatform.v1.ListEndpointsResponse
	(*UpdateEndpointRequest)(nil),                // 5: google.cloud.aiplatform.v1.UpdateEndpointRequest
	(*UpdateEndpointLongRunningRequest)(nil),     // 6: google.cloud.aiplatform.v1.UpdateEndpointLongRunningRequest
	(*UpdateEndpointOperationMetadata)(nil),      // 7: google.cloud.aiplatform.v1.UpdateEndpointOperationMetadata
	(*DeleteEndpointRequest)(nil),                // 8: google.cloud.aiplatform.v1.DeleteEndpointRequest
	(*DeployModelRequest)(nil),                   // 9: google.cloud.aiplatform.v1.DeployModelRequest
	(*DeployModelResponse)(nil),                  // 10: google.cloud.aiplatform.v1.DeployModelResponse
	(*DeployModelOperationMetadata)(nil),         // 11: google.cloud.aiplatform.v1.DeployModelOperationMetadata
	(*UndeployModelRequest)(nil),                 // 12: google.cloud.aiplatform.v1.UndeployModelRequest
	(*UndeployModelResponse)(nil),                // 13: google.cloud.aiplatform.v1.UndeployModelResponse
	(*UndeployModelOperationMetadata)(nil),       // 14: google.cloud.aiplatform.v1.UndeployModelOperationMetadata
	(*MutateDeployedModelRequest)(nil),           // 15: google.cloud.aiplatform.v1.MutateDeployedModelRequest
	(*MutateDeployedModelResponse)(nil),          // 16: google.cloud.aiplatform.v1.MutateDeployedModelResponse
	(*MutateDeployedModelOperationMetadata)(nil), // 17: google.cloud.aiplatform.v1.MutateDeployedModelOperationMetadata
	nil,                              // 18: google.cloud.aiplatform.v1.DeployModelRequest.TrafficSplitEntry
	nil,                              // 19: google.cloud.aiplatform.v1.UndeployModelRequest.TrafficSplitEntry
	(*Endpoint)(nil),                 // 20: google.cloud.aiplatform.v1.Endpoint
	(*GenericOperationMetadata)(nil), // 21: google.cloud.aiplatform.v1.GenericOperationMetadata
	(DeploymentStage)(0),             // 22: google.cloud.aiplatform.v1.DeploymentStage
	(*fieldmaskpb.FieldMask)(nil),    // 23: google.protobuf.FieldMask
	(*DeployedModel)(nil),            // 24: google.cloud.aiplatform.v1.DeployedModel
	(*longrunningpb.Operation)(nil),  // 25: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1_endpoint_service_proto_depIdxs = []int32{
	20, // 0: google.cloud.aiplatform.v1.CreateEndpointRequest.endpoint:type_name -> google.cloud.aiplatform.v1.Endpoint
	21, // 1: google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	22, // 2: google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.deployment_stage:type_name -> google.cloud.aiplatform.v1.DeploymentStage
	23, // 3: google.cloud.aiplatform.v1.ListEndpointsRequest.read_mask:type_name -> google.protobuf.FieldMask
	20, // 4: google.cloud.aiplatform.v1.ListEndpointsResponse.endpoints:type_name -> google.cloud.aiplatform.v1.Endpoint
	20, // 5: google.cloud.aiplatform.v1.UpdateEndpointRequest.endpoint:type_name -> google.cloud.aiplatform.v1.Endpoint
	23, // 6: google.cloud.aiplatform.v1.UpdateEndpointRequest.update_mask:type_name -> google.protobuf.FieldMask
	20, // 7: google.cloud.aiplatform.v1.UpdateEndpointLongRunningRequest.endpoint:type_name -> google.cloud.aiplatform.v1.Endpoint
	21, // 8: google.cloud.aiplatform.v1.UpdateEndpointOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	24, // 9: google.cloud.aiplatform.v1.DeployModelRequest.deployed_model:type_name -> google.cloud.aiplatform.v1.DeployedModel
	18, // 10: google.cloud.aiplatform.v1.DeployModelRequest.traffic_split:type_name -> google.cloud.aiplatform.v1.DeployModelRequest.TrafficSplitEntry
	24, // 11: google.cloud.aiplatform.v1.DeployModelResponse.deployed_model:type_name -> google.cloud.aiplatform.v1.DeployedModel
	21, // 12: google.cloud.aiplatform.v1.DeployModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	22, // 13: google.cloud.aiplatform.v1.DeployModelOperationMetadata.deployment_stage:type_name -> google.cloud.aiplatform.v1.DeploymentStage
	19, // 14: google.cloud.aiplatform.v1.UndeployModelRequest.traffic_split:type_name -> google.cloud.aiplatform.v1.UndeployModelRequest.TrafficSplitEntry
	21, // 15: google.cloud.aiplatform.v1.UndeployModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	24, // 16: google.cloud.aiplatform.v1.MutateDeployedModelRequest.deployed_model:type_name -> google.cloud.aiplatform.v1.DeployedModel
	23, // 17: google.cloud.aiplatform.v1.MutateDeployedModelRequest.update_mask:type_name -> google.protobuf.FieldMask
	24, // 18: google.cloud.aiplatform.v1.MutateDeployedModelResponse.deployed_model:type_name -> google.cloud.aiplatform.v1.DeployedModel
	21, // 19: google.cloud.aiplatform.v1.MutateDeployedModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	0,  // 20: google.cloud.aiplatform.v1.EndpointService.CreateEndpoint:input_type -> google.cloud.aiplatform.v1.CreateEndpointRequest
	2,  // 21: google.cloud.aiplatform.v1.EndpointService.GetEndpoint:input_type -> google.cloud.aiplatform.v1.GetEndpointRequest
	3,  // 22: google.cloud.aiplatform.v1.EndpointService.ListEndpoints:input_type -> google.cloud.aiplatform.v1.ListEndpointsRequest
	5,  // 23: google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint:input_type -> google.cloud.aiplatform.v1.UpdateEndpointRequest
	6,  // 24: google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning:input_type -> google.cloud.aiplatform.v1.UpdateEndpointLongRunningRequest
	8,  // 25: google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint:input_type -> google.cloud.aiplatform.v1.DeleteEndpointRequest
	9,  // 26: google.cloud.aiplatform.v1.EndpointService.DeployModel:input_type -> google.cloud.aiplatform.v1.DeployModelRequest
	12, // 27: google.cloud.aiplatform.v1.EndpointService.UndeployModel:input_type -> google.cloud.aiplatform.v1.UndeployModelRequest
	15, // 28: google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel:input_type -> google.cloud.aiplatform.v1.MutateDeployedModelRequest
	25, // 29: google.cloud.aiplatform.v1.EndpointService.CreateEndpoint:output_type -> google.longrunning.Operation
	20, // 30: google.cloud.aiplatform.v1.EndpointService.GetEndpoint:output_type -> google.cloud.aiplatform.v1.Endpoint
	4,  // 31: google.cloud.aiplatform.v1.EndpointService.ListEndpoints:output_type -> google.cloud.aiplatform.v1.ListEndpointsResponse
	20, // 32: google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint:output_type -> google.cloud.aiplatform.v1.Endpoint
	25, // 33: google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning:output_type -> google.longrunning.Operation
	25, // 34: google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint:output_type -> google.longrunning.Operation
	25, // 35: google.cloud.aiplatform.v1.EndpointService.DeployModel:output_type -> google.longrunning.Operation
	25, // 36: google.cloud.aiplatform.v1.EndpointService.UndeployModel:output_type -> google.longrunning.Operation
	25, // 37: google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel:output_type -> google.longrunning.Operation
	29, // [29:38] is the sub-list for method output_type
	20, // [20:29] is the sub-list for method input_type
	20, // [20:20] is the sub-list for extension type_name
	20, // [20:20] is the sub-list for extension extendee
	0,  // [0:20] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_endpoint_service_proto_init() }
func file_google_cloud_aiplatform_v1_endpoint_service_proto_init() {
	if File_google_cloud_aiplatform_v1_endpoint_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_deployment_stage_proto_init()
	file_google_cloud_aiplatform_v1_endpoint_proto_init()
	file_google_cloud_aiplatform_v1_operation_proto_init()
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   20,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_endpoint_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_endpoint_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_endpoint_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_endpoint_service_proto = out.File
	file_google_cloud_aiplatform_v1_endpoint_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1_endpoint_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_endpoint_service_proto_depIdxs = nil
}