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// 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 v1.32.0
// protoc v4.25.2
// source: google/cloud/aiplatform/v1beta1/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)
)
// Function calling mode.
type FunctionCallingConfig_Mode int32
const (
// Unspecified function calling mode. This value should not be used.
FunctionCallingConfig_MODE_UNSPECIFIED FunctionCallingConfig_Mode = 0
// Default model behavior, model decides to predict either a function call
// or a natural language repspose.
FunctionCallingConfig_AUTO FunctionCallingConfig_Mode = 1
// Model is constrained to always predicting a function call only.
// If "allowed_function_names" are set, the predicted function call will be
// limited to any one of "allowed_function_names", else the predicted
// function call will be any one of the provided "function_declarations".
FunctionCallingConfig_ANY FunctionCallingConfig_Mode = 2
// Model will not predict any function call. Model behavior is same as when
// not passing any function declarations.
FunctionCallingConfig_NONE FunctionCallingConfig_Mode = 3
)
// Enum value maps for FunctionCallingConfig_Mode.
var (
FunctionCallingConfig_Mode_name = map[int32]string{
0: "MODE_UNSPECIFIED",
1: "AUTO",
2: "ANY",
3: "NONE",
}
FunctionCallingConfig_Mode_value = map[string]int32{
"MODE_UNSPECIFIED": 0,
"AUTO": 1,
"ANY": 2,
"NONE": 3,
}
)
func (x FunctionCallingConfig_Mode) Enum() *FunctionCallingConfig_Mode {
p := new(FunctionCallingConfig_Mode)
*p = x
return p
}
func (x FunctionCallingConfig_Mode) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (FunctionCallingConfig_Mode) Descriptor() protoreflect.EnumDescriptor {
return file_google_cloud_aiplatform_v1beta1_tool_proto_enumTypes[0].Descriptor()
}
func (FunctionCallingConfig_Mode) Type() protoreflect.EnumType {
return &file_google_cloud_aiplatform_v1beta1_tool_proto_enumTypes[0]
}
func (x FunctionCallingConfig_Mode) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use FunctionCallingConfig_Mode.Descriptor instead.
func (FunctionCallingConfig_Mode) EnumDescriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{9, 0}
}
// 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_v1beta1_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_v1beta1_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_v1beta1_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
}
// A single example of the tool usage.
type ToolUseExample struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Target tool to use.
//
// Types that are assignable to Target:
//
// *ToolUseExample_ExtensionOperation_
// *ToolUseExample_FunctionName
Target isToolUseExample_Target `protobuf_oneof:"Target"`
// Required. The display name for example.
DisplayName string `protobuf:"bytes,1,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Required. Query that should be routed to this tool.
Query string `protobuf:"bytes,2,opt,name=query,proto3" json:"query,omitempty"`
// Request parameters used for executing this tool.
RequestParams *structpb.Struct `protobuf:"bytes,3,opt,name=request_params,json=requestParams,proto3" json:"request_params,omitempty"`
// Response parameters generated by this tool.
ResponseParams *structpb.Struct `protobuf:"bytes,4,opt,name=response_params,json=responseParams,proto3" json:"response_params,omitempty"`
// Summary of the tool response to the user query.
ResponseSummary string `protobuf:"bytes,5,opt,name=response_summary,json=responseSummary,proto3" json:"response_summary,omitempty"`
}
func (x *ToolUseExample) Reset() {
*x = ToolUseExample{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ToolUseExample) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ToolUseExample) ProtoMessage() {}
func (x *ToolUseExample) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_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 ToolUseExample.ProtoReflect.Descriptor instead.
func (*ToolUseExample) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{1}
}
func (m *ToolUseExample) GetTarget() isToolUseExample_Target {
if m != nil {
return m.Target
}
return nil
}
func (x *ToolUseExample) GetExtensionOperation() *ToolUseExample_ExtensionOperation {
if x, ok := x.GetTarget().(*ToolUseExample_ExtensionOperation_); ok {
return x.ExtensionOperation
}
return nil
}
func (x *ToolUseExample) GetFunctionName() string {
if x, ok := x.GetTarget().(*ToolUseExample_FunctionName); ok {
return x.FunctionName
}
return ""
}
func (x *ToolUseExample) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *ToolUseExample) GetQuery() string {
if x != nil {
return x.Query
}
return ""
}
func (x *ToolUseExample) GetRequestParams() *structpb.Struct {
if x != nil {
return x.RequestParams
}
return nil
}
func (x *ToolUseExample) GetResponseParams() *structpb.Struct {
if x != nil {
return x.ResponseParams
}
return nil
}
func (x *ToolUseExample) GetResponseSummary() string {
if x != nil {
return x.ResponseSummary
}
return ""
}
type isToolUseExample_Target interface {
isToolUseExample_Target()
}
type ToolUseExample_ExtensionOperation_ struct {
// Extension operation to call.
ExtensionOperation *ToolUseExample_ExtensionOperation `protobuf:"bytes,10,opt,name=extension_operation,json=extensionOperation,proto3,oneof"`
}
type ToolUseExample_FunctionName struct {
// Function name to call.
FunctionName string `protobuf:"bytes,11,opt,name=function_name,json=functionName,proto3,oneof"`
}
func (*ToolUseExample_ExtensionOperation_) isToolUseExample_Target() {}
func (*ToolUseExample_FunctionName) isToolUseExample_Target() {}
// 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"`
// Optional. Describes the output from this function in JSON Schema format.
// Reflects the Open API 3.03 Response Object. The Schema defines the type
// used for the response value of the function.
Response *Schema `protobuf:"bytes,4,opt,name=response,proto3" json:"response,omitempty"`
}
func (x *FunctionDeclaration) Reset() {
*x = FunctionDeclaration{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[2]
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_v1beta1_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 FunctionDeclaration.ProtoReflect.Descriptor instead.
func (*FunctionDeclaration) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{2}
}
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
}
func (x *FunctionDeclaration) GetResponse() *Schema {
if x != nil {
return x.Response
}
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_v1beta1_tool_proto_msgTypes[3]
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_v1beta1_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 FunctionCall.ProtoReflect.Descriptor instead.
func (*FunctionCall) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{3}
}
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_v1beta1_tool_proto_msgTypes[4]
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_v1beta1_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 FunctionResponse.ProtoReflect.Descriptor instead.
func (*FunctionResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{4}
}
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
// 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_v1beta1_tool_proto_msgTypes[5]
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_v1beta1_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 Retrieval.ProtoReflect.Descriptor instead.
func (*Retrieval) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{5}
}
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.
// projects/<>/locations/<>/collections/<>/dataStores/<>
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_v1beta1_tool_proto_msgTypes[6]
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_v1beta1_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 VertexAISearch.ProtoReflect.Descriptor instead.
func (*VertexAISearch) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{6}
}
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_v1beta1_tool_proto_msgTypes[7]
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_v1beta1_tool_proto_msgTypes[7]
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_v1beta1_tool_proto_rawDescGZIP(), []int{7}
}
func (x *GoogleSearchRetrieval) GetDisableAttribution() bool {
if x != nil {
return x.DisableAttribution
}
return false
}
// Tool config. This config is shared for all tools provided in the request.
type ToolConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Function calling config.
FunctionCallingConfig *FunctionCallingConfig `protobuf:"bytes,1,opt,name=function_calling_config,json=functionCallingConfig,proto3" json:"function_calling_config,omitempty"`
}
func (x *ToolConfig) Reset() {
*x = ToolConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[8]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ToolConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ToolConfig) ProtoMessage() {}
func (x *ToolConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[8]
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 ToolConfig.ProtoReflect.Descriptor instead.
func (*ToolConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{8}
}
func (x *ToolConfig) GetFunctionCallingConfig() *FunctionCallingConfig {
if x != nil {
return x.FunctionCallingConfig
}
return nil
}
// Function calling config.
type FunctionCallingConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Function calling mode.
Mode FunctionCallingConfig_Mode `protobuf:"varint,1,opt,name=mode,proto3,enum=google.cloud.aiplatform.v1beta1.FunctionCallingConfig_Mode" json:"mode,omitempty"`
// Function names to call. Only set when the Mode is ANY. Function names
// should match [FunctionDeclaration.name]. With mode set to ANY, model will
// predict a function call from the set of function names provided.
AllowedFunctionNames []string `protobuf:"bytes,2,rep,name=allowed_function_names,json=allowedFunctionNames,proto3" json:"allowed_function_names,omitempty"`
}
func (x *FunctionCallingConfig) Reset() {
*x = FunctionCallingConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[9]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FunctionCallingConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FunctionCallingConfig) ProtoMessage() {}
func (x *FunctionCallingConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[9]
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 FunctionCallingConfig.ProtoReflect.Descriptor instead.
func (*FunctionCallingConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{9}
}
func (x *FunctionCallingConfig) GetMode() FunctionCallingConfig_Mode {
if x != nil {
return x.Mode
}
return FunctionCallingConfig_MODE_UNSPECIFIED
}
func (x *FunctionCallingConfig) GetAllowedFunctionNames() []string {
if x != nil {
return x.AllowedFunctionNames
}
return nil
}
// Identifies one operation of the extension.
type ToolUseExample_ExtensionOperation struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Resource name of the extension.
Extension string `protobuf:"bytes,1,opt,name=extension,proto3" json:"extension,omitempty"`
// Required. Operation ID of the extension.
OperationId string `protobuf:"bytes,2,opt,name=operation_id,json=operationId,proto3" json:"operation_id,omitempty"`
}
func (x *ToolUseExample_ExtensionOperation) Reset() {
*x = ToolUseExample_ExtensionOperation{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[10]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ToolUseExample_ExtensionOperation) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ToolUseExample_ExtensionOperation) ProtoMessage() {}
func (x *ToolUseExample_ExtensionOperation) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[10]
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 ToolUseExample_ExtensionOperation.ProtoReflect.Descriptor instead.
func (*ToolUseExample_ExtensionOperation) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP(), []int{1, 0}
}
func (x *ToolUseExample_ExtensionOperation) GetExtension() string {
if x != nil {
return x.Extension
}
return ""
}
func (x *ToolUseExample_ExtensionOperation) GetOperationId() string {
if x != nil {
return x.OperationId
}
return ""
}
var File_google_cloud_aiplatform_v1beta1_tool_proto protoreflect.FileDescriptor
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}
var (
file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_tool_proto_rawDesc
)
func file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1beta1_tool_proto_rawDescData
}
var file_google_cloud_aiplatform_v1beta1_tool_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes = make([]protoimpl.MessageInfo, 11)
var file_google_cloud_aiplatform_v1beta1_tool_proto_goTypes = []interface{}{
(FunctionCallingConfig_Mode)(0), // 0: google.cloud.aiplatform.v1beta1.FunctionCallingConfig.Mode
(*Tool)(nil), // 1: google.cloud.aiplatform.v1beta1.Tool
(*ToolUseExample)(nil), // 2: google.cloud.aiplatform.v1beta1.ToolUseExample
(*FunctionDeclaration)(nil), // 3: google.cloud.aiplatform.v1beta1.FunctionDeclaration
(*FunctionCall)(nil), // 4: google.cloud.aiplatform.v1beta1.FunctionCall
(*FunctionResponse)(nil), // 5: google.cloud.aiplatform.v1beta1.FunctionResponse
(*Retrieval)(nil), // 6: google.cloud.aiplatform.v1beta1.Retrieval
(*VertexAISearch)(nil), // 7: google.cloud.aiplatform.v1beta1.VertexAISearch
(*GoogleSearchRetrieval)(nil), // 8: google.cloud.aiplatform.v1beta1.GoogleSearchRetrieval
(*ToolConfig)(nil), // 9: google.cloud.aiplatform.v1beta1.ToolConfig
(*FunctionCallingConfig)(nil), // 10: google.cloud.aiplatform.v1beta1.FunctionCallingConfig
(*ToolUseExample_ExtensionOperation)(nil), // 11: google.cloud.aiplatform.v1beta1.ToolUseExample.ExtensionOperation
(*structpb.Struct)(nil), // 12: google.protobuf.Struct
(*Schema)(nil), // 13: google.cloud.aiplatform.v1beta1.Schema
}
var file_google_cloud_aiplatform_v1beta1_tool_proto_depIdxs = []int32{
3, // 0: google.cloud.aiplatform.v1beta1.Tool.function_declarations:type_name -> google.cloud.aiplatform.v1beta1.FunctionDeclaration
6, // 1: google.cloud.aiplatform.v1beta1.Tool.retrieval:type_name -> google.cloud.aiplatform.v1beta1.Retrieval
8, // 2: google.cloud.aiplatform.v1beta1.Tool.google_search_retrieval:type_name -> google.cloud.aiplatform.v1beta1.GoogleSearchRetrieval
11, // 3: google.cloud.aiplatform.v1beta1.ToolUseExample.extension_operation:type_name -> google.cloud.aiplatform.v1beta1.ToolUseExample.ExtensionOperation
12, // 4: google.cloud.aiplatform.v1beta1.ToolUseExample.request_params:type_name -> google.protobuf.Struct
12, // 5: google.cloud.aiplatform.v1beta1.ToolUseExample.response_params:type_name -> google.protobuf.Struct
13, // 6: google.cloud.aiplatform.v1beta1.FunctionDeclaration.parameters:type_name -> google.cloud.aiplatform.v1beta1.Schema
13, // 7: google.cloud.aiplatform.v1beta1.FunctionDeclaration.response:type_name -> google.cloud.aiplatform.v1beta1.Schema
12, // 8: google.cloud.aiplatform.v1beta1.FunctionCall.args:type_name -> google.protobuf.Struct
12, // 9: google.cloud.aiplatform.v1beta1.FunctionResponse.response:type_name -> google.protobuf.Struct
7, // 10: google.cloud.aiplatform.v1beta1.Retrieval.vertex_ai_search:type_name -> google.cloud.aiplatform.v1beta1.VertexAISearch
10, // 11: google.cloud.aiplatform.v1beta1.ToolConfig.function_calling_config:type_name -> google.cloud.aiplatform.v1beta1.FunctionCallingConfig
0, // 12: google.cloud.aiplatform.v1beta1.FunctionCallingConfig.mode:type_name -> google.cloud.aiplatform.v1beta1.FunctionCallingConfig.Mode
13, // [13:13] is the sub-list for method output_type
13, // [13:13] is the sub-list for method input_type
13, // [13:13] is the sub-list for extension type_name
13, // [13:13] is the sub-list for extension extendee
0, // [0:13] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1beta1_tool_proto_init() }
func file_google_cloud_aiplatform_v1beta1_tool_proto_init() {
if File_google_cloud_aiplatform_v1beta1_tool_proto != nil {
return
}
file_google_cloud_aiplatform_v1beta1_openapi_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1beta1_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_v1beta1_tool_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ToolUseExample); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[2].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_v1beta1_tool_proto_msgTypes[3].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_v1beta1_tool_proto_msgTypes[4].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_v1beta1_tool_proto_msgTypes[5].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_v1beta1_tool_proto_msgTypes[6].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_v1beta1_tool_proto_msgTypes[7].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_v1beta1_tool_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ToolConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FunctionCallingConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ToolUseExample_ExtensionOperation); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[1].OneofWrappers = []interface{}{
(*ToolUseExample_ExtensionOperation_)(nil),
(*ToolUseExample_FunctionName)(nil),
}
file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes[5].OneofWrappers = []interface{}{
(*Retrieval_VertexAiSearch)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1beta1_tool_proto_rawDesc,
NumEnums: 1,
NumMessages: 11,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1beta1_tool_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1beta1_tool_proto_depIdxs,
EnumInfos: file_google_cloud_aiplatform_v1beta1_tool_proto_enumTypes,
MessageInfos: file_google_cloud_aiplatform_v1beta1_tool_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1beta1_tool_proto = out.File
file_google_cloud_aiplatform_v1beta1_tool_proto_rawDesc = nil
file_google_cloud_aiplatform_v1beta1_tool_proto_goTypes = nil
file_google_cloud_aiplatform_v1beta1_tool_proto_depIdxs = nil
}