| // Copyright 2023 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 v1.33.0 |
| // protoc v4.25.3 |
| // source: google/ai/generativelanguage/v1/model_service.proto |
| |
| package generativelanguagepb |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| grpc "google.golang.org/grpc" |
| codes "google.golang.org/grpc/codes" |
| status "google.golang.org/grpc/status" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| 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 for getting information about a specific Model. |
| type GetModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the model. |
| // |
| // This name should match a model name returned by the `ListModels` method. |
| // |
| // Format: `models/{model}` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetModelRequest) Reset() { |
| *x = GetModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetModelRequest) ProtoMessage() {} |
| |
| func (x *GetModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead. |
| func (*GetModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1_model_service_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *GetModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request for listing all Models. |
| type ListModelsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The maximum number of `Models` to return (per page). |
| // |
| // The service may return fewer models. |
| // If unspecified, at most 50 models will be returned per page. |
| // This method returns at most 1000 models per page, even if you pass a larger |
| // page_size. |
| PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // A page token, received from a previous `ListModels` call. |
| // |
| // Provide the `page_token` returned by one request as an argument to the next |
| // request to retrieve the next page. |
| // |
| // When paginating, all other parameters provided to `ListModels` must match |
| // the call that provided the page token. |
| PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListModelsRequest) Reset() { |
| *x = ListModelsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsRequest) ProtoMessage() {} |
| |
| func (x *ListModelsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead. |
| func (*ListModelsRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1_model_service_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *ListModelsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListModelsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response from `ListModel` containing a paginated list of Models. |
| type ListModelsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The returned Models. |
| Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"` |
| // A token, which can be sent as `page_token` to retrieve the next page. |
| // |
| // If this field is omitted, there are no more pages. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListModelsResponse) Reset() { |
| *x = ListModelsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsResponse) ProtoMessage() {} |
| |
| func (x *ListModelsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead. |
| func (*ListModelsResponse) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1_model_service_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ListModelsResponse) GetModels() []*Model { |
| if x != nil { |
| return x.Models |
| } |
| return nil |
| } |
| |
| func (x *ListModelsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| var File_google_ai_generativelanguage_v1_model_service_proto protoreflect.FileDescriptor |
| |
| var file_google_ai_generativelanguage_v1_model_service_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_ai_generativelanguage_v1_model_service_proto_rawDescOnce sync.Once |
| file_google_ai_generativelanguage_v1_model_service_proto_rawDescData = file_google_ai_generativelanguage_v1_model_service_proto_rawDesc |
| ) |
| |
| func file_google_ai_generativelanguage_v1_model_service_proto_rawDescGZIP() []byte { |
| file_google_ai_generativelanguage_v1_model_service_proto_rawDescOnce.Do(func() { |
| file_google_ai_generativelanguage_v1_model_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1_model_service_proto_rawDescData) |
| }) |
| return file_google_ai_generativelanguage_v1_model_service_proto_rawDescData |
| } |
| |
| var file_google_ai_generativelanguage_v1_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 3) |
| var file_google_ai_generativelanguage_v1_model_service_proto_goTypes = []interface{}{ |
| (*GetModelRequest)(nil), // 0: google.ai.generativelanguage.v1.GetModelRequest |
| (*ListModelsRequest)(nil), // 1: google.ai.generativelanguage.v1.ListModelsRequest |
| (*ListModelsResponse)(nil), // 2: google.ai.generativelanguage.v1.ListModelsResponse |
| (*Model)(nil), // 3: google.ai.generativelanguage.v1.Model |
| } |
| var file_google_ai_generativelanguage_v1_model_service_proto_depIdxs = []int32{ |
| 3, // 0: google.ai.generativelanguage.v1.ListModelsResponse.models:type_name -> google.ai.generativelanguage.v1.Model |
| 0, // 1: google.ai.generativelanguage.v1.ModelService.GetModel:input_type -> google.ai.generativelanguage.v1.GetModelRequest |
| 1, // 2: google.ai.generativelanguage.v1.ModelService.ListModels:input_type -> google.ai.generativelanguage.v1.ListModelsRequest |
| 3, // 3: google.ai.generativelanguage.v1.ModelService.GetModel:output_type -> google.ai.generativelanguage.v1.Model |
| 2, // 4: google.ai.generativelanguage.v1.ModelService.ListModels:output_type -> google.ai.generativelanguage.v1.ListModelsResponse |
| 3, // [3:5] is the sub-list for method output_type |
| 1, // [1:3] is the sub-list for method input_type |
| 1, // [1:1] is the sub-list for extension type_name |
| 1, // [1:1] is the sub-list for extension extendee |
| 0, // [0:1] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_ai_generativelanguage_v1_model_service_proto_init() } |
| func file_google_ai_generativelanguage_v1_model_service_proto_init() { |
| if File_google_ai_generativelanguage_v1_model_service_proto != nil { |
| return |
| } |
| file_google_ai_generativelanguage_v1_model_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1_model_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_ai_generativelanguage_v1_model_service_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 3, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_ai_generativelanguage_v1_model_service_proto_goTypes, |
| DependencyIndexes: file_google_ai_generativelanguage_v1_model_service_proto_depIdxs, |
| MessageInfos: file_google_ai_generativelanguage_v1_model_service_proto_msgTypes, |
| }.Build() |
| File_google_ai_generativelanguage_v1_model_service_proto = out.File |
| file_google_ai_generativelanguage_v1_model_service_proto_rawDesc = nil |
| file_google_ai_generativelanguage_v1_model_service_proto_goTypes = nil |
| file_google_ai_generativelanguage_v1_model_service_proto_depIdxs = nil |
| } |
| |
| // Reference imports to suppress errors if they are not otherwise used. |
| var _ context.Context |
| var _ grpc.ClientConnInterface |
| |
| // This is a compile-time assertion to ensure that this generated file |
| // is compatible with the grpc package it is being compiled against. |
| const _ = grpc.SupportPackageIsVersion6 |
| |
| // ModelServiceClient is the client API for ModelService service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type ModelServiceClient interface { |
| // Gets information about a specific Model. |
| GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) |
| // Lists models available through the API. |
| ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) |
| } |
| |
| type modelServiceClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient { |
| return &modelServiceClient{cc} |
| } |
| |
| func (c *modelServiceClient) GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) { |
| out := new(Model) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1.ModelService/GetModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) { |
| out := new(ListModelsResponse) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1.ModelService/ListModels", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| // ModelServiceServer is the server API for ModelService service. |
| type ModelServiceServer interface { |
| // Gets information about a specific Model. |
| GetModel(context.Context, *GetModelRequest) (*Model, error) |
| // Lists models available through the API. |
| ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) |
| } |
| |
| // UnimplementedModelServiceServer can be embedded to have forward compatible implementations. |
| type UnimplementedModelServiceServer struct { |
| } |
| |
| func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented") |
| } |
| func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented") |
| } |
| |
| func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer) { |
| s.RegisterService(&_ModelService_serviceDesc, srv) |
| } |
| |
| func _ModelService_GetModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).GetModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1.ModelService/GetModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).GetModel(ctx, req.(*GetModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_ListModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListModelsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).ListModels(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1.ModelService/ListModels", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).ListModels(ctx, req.(*ListModelsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| var _ModelService_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.ai.generativelanguage.v1.ModelService", |
| HandlerType: (*ModelServiceServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "GetModel", |
| Handler: _ModelService_GetModel_Handler, |
| }, |
| { |
| MethodName: "ListModels", |
| Handler: _ModelService_ListModels_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/ai/generativelanguage/v1/model_service.proto", |
| } |
