| // 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/cloud/aiplatform/v1/tool.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| structpb "google.golang.org/protobuf/types/known/structpb" |
| ) |
| |
| 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) |
| ) |
| |
| // Tool details that the model may use to generate response. |
| // |
| // A `Tool` is a piece of code that enables the system to interact with |
| // external systems to perform an action, or set of actions, outside of |
| // knowledge and scope of the model. A Tool object should contain exactly |
| // one type of Tool (e.g FunctionDeclaration, Retrieval or |
| // GoogleSearchRetrieval). |
| type Tool struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. Function tool type. |
| // One or more function declarations to be passed to the model along with the |
| // current user query. Model may decide to call a subset of these functions |
| // by populating [FunctionCall][content.part.function_call] in the response. |
| // User should provide a [FunctionResponse][content.part.function_response] |
| // for each function call in the next turn. Based on the function responses, |
| // Model will generate the final response back to the user. |
| // Maximum 64 function declarations can be provided. |
| FunctionDeclarations []*FunctionDeclaration `protobuf:"bytes,1,rep,name=function_declarations,json=functionDeclarations,proto3" json:"function_declarations,omitempty"` |
| // Optional. Retrieval tool type. |
| // System will always execute the provided retrieval tool(s) to get external |
| // knowledge to answer the prompt. Retrieval results are presented to the |
| // model for generation. |
| Retrieval *Retrieval `protobuf:"bytes,2,opt,name=retrieval,proto3" json:"retrieval,omitempty"` |
| // Optional. GoogleSearchRetrieval tool type. |
| // Specialized retrieval tool that is powered by Google search. |
| GoogleSearchRetrieval *GoogleSearchRetrieval `protobuf:"bytes,3,opt,name=google_search_retrieval,json=googleSearchRetrieval,proto3" json:"google_search_retrieval,omitempty"` |
| } |
| |
| func (x *Tool) Reset() { |
| *x = Tool{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Tool) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Tool) ProtoMessage() {} |
| |
| func (x *Tool) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_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 Tool.ProtoReflect.Descriptor instead. |
| func (*Tool) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *Tool) GetFunctionDeclarations() []*FunctionDeclaration { |
| if x != nil { |
| return x.FunctionDeclarations |
| } |
| return nil |
| } |
| |
| func (x *Tool) GetRetrieval() *Retrieval { |
| if x != nil { |
| return x.Retrieval |
| } |
| return nil |
| } |
| |
| func (x *Tool) GetGoogleSearchRetrieval() *GoogleSearchRetrieval { |
| if x != nil { |
| return x.GoogleSearchRetrieval |
| } |
| return nil |
| } |
| |
| // Structured representation of a function declaration as defined by the |
| // [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included |
| // in this declaration are the function name and parameters. This |
| // FunctionDeclaration is a representation of a block of code that can be used |
| // as a `Tool` by the model and executed by the client. |
| type FunctionDeclaration struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the function to call. |
| // Must start with a letter or an underscore. |
| // Must be a-z, A-Z, 0-9, or contain underscores, dots and dashes, with a |
| // maximum length of 64. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Optional. Description and purpose of the function. |
| // Model uses it to decide how and whether to call the function. |
| Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"` |
| // Optional. Describes the parameters to this function in JSON Schema Object |
| // format. Reflects the Open API 3.03 Parameter Object. string Key: the name |
| // of the parameter. Parameter names are case sensitive. Schema Value: the |
| // Schema defining the type used for the parameter. For function with no |
| // parameters, this can be left unset. Parameter names must start with a |
| // letter or an underscore and must only contain chars a-z, A-Z, 0-9, or |
| // underscores with a maximum length of 64. Example with 1 required and 1 |
| // optional parameter: type: OBJECT properties: |
| // |
| // param1: |
| // type: STRING |
| // param2: |
| // type: INTEGER |
| // |
| // required: |
| // - param1 |
| Parameters *Schema `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *FunctionDeclaration) Reset() { |
| *x = FunctionDeclaration{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FunctionDeclaration) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FunctionDeclaration) ProtoMessage() {} |
| |
| func (x *FunctionDeclaration) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_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 FunctionDeclaration.ProtoReflect.Descriptor instead. |
| func (*FunctionDeclaration) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *FunctionDeclaration) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *FunctionDeclaration) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *FunctionDeclaration) GetParameters() *Schema { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // A predicted [FunctionCall] returned from the model that contains a string |
| // representing the [FunctionDeclaration.name] and a structured JSON object |
| // containing the parameters and their values. |
| type FunctionCall struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the function to call. |
| // Matches [FunctionDeclaration.name]. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Optional. Required. The function parameters and values in JSON object |
| // format. See [FunctionDeclaration.parameters] for parameter details. |
| Args *structpb.Struct `protobuf:"bytes,2,opt,name=args,proto3" json:"args,omitempty"` |
| } |
| |
| func (x *FunctionCall) Reset() { |
| *x = FunctionCall{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FunctionCall) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FunctionCall) ProtoMessage() {} |
| |
| func (x *FunctionCall) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_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 FunctionCall.ProtoReflect.Descriptor instead. |
| func (*FunctionCall) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *FunctionCall) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *FunctionCall) GetArgs() *structpb.Struct { |
| if x != nil { |
| return x.Args |
| } |
| return nil |
| } |
| |
| // The result output from a [FunctionCall] that contains a string representing |
| // the [FunctionDeclaration.name] and a structured JSON object containing any |
| // output from the function is used as context to the model. This should contain |
| // the result of a [FunctionCall] made based on model prediction. |
| type FunctionResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the function to call. |
| // Matches [FunctionDeclaration.name] and [FunctionCall.name]. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The function response in JSON object format. |
| Response *structpb.Struct `protobuf:"bytes,2,opt,name=response,proto3" json:"response,omitempty"` |
| } |
| |
| func (x *FunctionResponse) Reset() { |
| *x = FunctionResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FunctionResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FunctionResponse) ProtoMessage() {} |
| |
| func (x *FunctionResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[3] |
| 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 FunctionResponse.ProtoReflect.Descriptor instead. |
| func (*FunctionResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *FunctionResponse) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *FunctionResponse) GetResponse() *structpb.Struct { |
| if x != nil { |
| return x.Response |
| } |
| return nil |
| } |
| |
| // Defines a retrieval tool that model can call to access external knowledge. |
| type Retrieval struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The source of the retrieval. |
| // |
| // Types that are assignable to Source: |
| // |
| // *Retrieval_VertexAiSearch |
| Source isRetrieval_Source `protobuf_oneof:"source"` |
| // Optional. Disable using the result from this tool in detecting grounding |
| // attribution. This does not affect how the result is given to the model for |
| // generation. |
| DisableAttribution bool `protobuf:"varint,3,opt,name=disable_attribution,json=disableAttribution,proto3" json:"disable_attribution,omitempty"` |
| } |
| |
| func (x *Retrieval) Reset() { |
| *x = Retrieval{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Retrieval) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Retrieval) ProtoMessage() {} |
| |
| func (x *Retrieval) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[4] |
| 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 Retrieval.ProtoReflect.Descriptor instead. |
| func (*Retrieval) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (m *Retrieval) GetSource() isRetrieval_Source { |
| if m != nil { |
| return m.Source |
| } |
| return nil |
| } |
| |
| func (x *Retrieval) GetVertexAiSearch() *VertexAISearch { |
| if x, ok := x.GetSource().(*Retrieval_VertexAiSearch); ok { |
| return x.VertexAiSearch |
| } |
| return nil |
| } |
| |
| func (x *Retrieval) GetDisableAttribution() bool { |
| if x != nil { |
| return x.DisableAttribution |
| } |
| return false |
| } |
| |
| type isRetrieval_Source interface { |
| isRetrieval_Source() |
| } |
| |
| type Retrieval_VertexAiSearch struct { |
| // Set to use data source powered by Vertex AI Search. |
| VertexAiSearch *VertexAISearch `protobuf:"bytes,2,opt,name=vertex_ai_search,json=vertexAiSearch,proto3,oneof"` |
| } |
| |
| func (*Retrieval_VertexAiSearch) isRetrieval_Source() {} |
| |
| // Retrieve from Vertex AI Search datastore for grounding. |
| // See https://cloud.google.com/vertex-ai-search-and-conversation |
| type VertexAISearch struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Fully-qualified Vertex AI Search's datastore resource ID. |
| // Format: |
| // `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}` |
| Datastore string `protobuf:"bytes,1,opt,name=datastore,proto3" json:"datastore,omitempty"` |
| } |
| |
| func (x *VertexAISearch) Reset() { |
| *x = VertexAISearch{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *VertexAISearch) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*VertexAISearch) ProtoMessage() {} |
| |
| func (x *VertexAISearch) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[5] |
| 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 VertexAISearch.ProtoReflect.Descriptor instead. |
| func (*VertexAISearch) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *VertexAISearch) GetDatastore() string { |
| if x != nil { |
| return x.Datastore |
| } |
| return "" |
| } |
| |
| // Tool to retrieve public web data for grounding, powered by Google. |
| type GoogleSearchRetrieval struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. Disable using the result from this tool in detecting grounding |
| // attribution. This does not affect how the result is given to the model for |
| // generation. |
| DisableAttribution bool `protobuf:"varint,1,opt,name=disable_attribution,json=disableAttribution,proto3" json:"disable_attribution,omitempty"` |
| } |
| |
| func (x *GoogleSearchRetrieval) Reset() { |
| *x = GoogleSearchRetrieval{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GoogleSearchRetrieval) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GoogleSearchRetrieval) ProtoMessage() {} |
| |
| func (x *GoogleSearchRetrieval) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tool_proto_msgTypes[6] |
| 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 GoogleSearchRetrieval.ProtoReflect.Descriptor instead. |
| func (*GoogleSearchRetrieval) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *GoogleSearchRetrieval) GetDisableAttribution() bool { |
| if x != nil { |
| return x.DisableAttribution |
| } |
| return false |
| } |
| |
| var File_google_cloud_aiplatform_v1_tool_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_tool_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_tool_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_tool_proto_rawDescData = file_google_cloud_aiplatform_v1_tool_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_tool_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_tool_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_tool_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_tool_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_tool_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_tool_proto_msgTypes = make([]protoimpl.MessageInfo, 7) |
| var file_google_cloud_aiplatform_v1_tool_proto_goTypes = []interface{}{ |
| (*Tool)(nil), // 0: google.cloud.aiplatform.v1.Tool |
| (*FunctionDeclaration)(nil), // 1: google.cloud.aiplatform.v1.FunctionDeclaration |
| (*FunctionCall)(nil), // 2: google.cloud.aiplatform.v1.FunctionCall |
| (*FunctionResponse)(nil), // 3: google.cloud.aiplatform.v1.FunctionResponse |
| (*Retrieval)(nil), // 4: google.cloud.aiplatform.v1.Retrieval |
| (*VertexAISearch)(nil), // 5: google.cloud.aiplatform.v1.VertexAISearch |
| (*GoogleSearchRetrieval)(nil), // 6: google.cloud.aiplatform.v1.GoogleSearchRetrieval |
| (*Schema)(nil), // 7: google.cloud.aiplatform.v1.Schema |
| (*structpb.Struct)(nil), // 8: google.protobuf.Struct |
| } |
| var file_google_cloud_aiplatform_v1_tool_proto_depIdxs = []int32{ |
| 1, // 0: google.cloud.aiplatform.v1.Tool.function_declarations:type_name -> google.cloud.aiplatform.v1.FunctionDeclaration |
| 4, // 1: google.cloud.aiplatform.v1.Tool.retrieval:type_name -> google.cloud.aiplatform.v1.Retrieval |
| 6, // 2: google.cloud.aiplatform.v1.Tool.google_search_retrieval:type_name -> google.cloud.aiplatform.v1.GoogleSearchRetrieval |
| 7, // 3: google.cloud.aiplatform.v1.FunctionDeclaration.parameters:type_name -> google.cloud.aiplatform.v1.Schema |
| 8, // 4: google.cloud.aiplatform.v1.FunctionCall.args:type_name -> google.protobuf.Struct |
| 8, // 5: google.cloud.aiplatform.v1.FunctionResponse.response:type_name -> google.protobuf.Struct |
| 5, // 6: google.cloud.aiplatform.v1.Retrieval.vertex_ai_search:type_name -> google.cloud.aiplatform.v1.VertexAISearch |
| 7, // [7:7] is the sub-list for method output_type |
| 7, // [7:7] is the sub-list for method input_type |
| 7, // [7:7] is the sub-list for extension type_name |
| 7, // [7:7] is the sub-list for extension extendee |
| 0, // [0:7] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_tool_proto_init() } |
| func file_google_cloud_aiplatform_v1_tool_proto_init() { |
| if File_google_cloud_aiplatform_v1_tool_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_openapi_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Tool); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FunctionDeclaration); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FunctionCall); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FunctionResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Retrieval); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*VertexAISearch); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GoogleSearchRetrieval); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_tool_proto_msgTypes[4].OneofWrappers = []interface{}{ |
| (*Retrieval_VertexAiSearch)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_tool_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 7, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_tool_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_tool_proto_depIdxs, |
| MessageInfos: file_google_cloud_aiplatform_v1_tool_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_tool_proto = out.File |
| file_google_cloud_aiplatform_v1_tool_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_tool_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_tool_proto_depIdxs = nil |
| } |
