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pierre-bot/vendor/cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb/content.pb.go
schreifuchs 9bd7d363ba feat: gitea client
2026-02-12 21:44:10 +01:00

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// Copyright 2024 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 v1.34.2
// protoc v4.25.3
// source: google/ai/generativelanguage/v1beta/content.proto
package generativelanguagepb
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)
)
// Type contains the list of OpenAPI data types as defined by
// https://spec.openapis.org/oas/v3.0.3#data-types
type Type int32
const (
// Not specified, should not be used.
Type_TYPE_UNSPECIFIED Type = 0
// String type.
Type_STRING Type = 1
// Number type.
Type_NUMBER Type = 2
// Integer type.
Type_INTEGER Type = 3
// Boolean type.
Type_BOOLEAN Type = 4
// Array type.
Type_ARRAY Type = 5
// Object type.
Type_OBJECT Type = 6
)
// Enum value maps for Type.
var (
Type_name = map[int32]string{
0: "TYPE_UNSPECIFIED",
1: "STRING",
2: "NUMBER",
3: "INTEGER",
4: "BOOLEAN",
5: "ARRAY",
6: "OBJECT",
}
Type_value = map[string]int32{
"TYPE_UNSPECIFIED": 0,
"STRING": 1,
"NUMBER": 2,
"INTEGER": 3,
"BOOLEAN": 4,
"ARRAY": 5,
"OBJECT": 6,
}
)
func (x Type) Enum() *Type {
p := new(Type)
*p = x
return p
}
func (x Type) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (Type) Descriptor() protoreflect.EnumDescriptor {
return file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[0].Descriptor()
}
func (Type) Type() protoreflect.EnumType {
return &file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[0]
}
func (x Type) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use Type.Descriptor instead.
func (Type) EnumDescriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{0}
}
// Supported programming languages for the generated code.
type ExecutableCode_Language int32
const (
// Unspecified language. This value should not be used.
ExecutableCode_LANGUAGE_UNSPECIFIED ExecutableCode_Language = 0
// Python >= 3.10, with numpy and simpy available.
ExecutableCode_PYTHON ExecutableCode_Language = 1
)
// Enum value maps for ExecutableCode_Language.
var (
ExecutableCode_Language_name = map[int32]string{
0: "LANGUAGE_UNSPECIFIED",
1: "PYTHON",
}
ExecutableCode_Language_value = map[string]int32{
"LANGUAGE_UNSPECIFIED": 0,
"PYTHON": 1,
}
)
func (x ExecutableCode_Language) Enum() *ExecutableCode_Language {
p := new(ExecutableCode_Language)
*p = x
return p
}
func (x ExecutableCode_Language) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (ExecutableCode_Language) Descriptor() protoreflect.EnumDescriptor {
return file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[1].Descriptor()
}
func (ExecutableCode_Language) Type() protoreflect.EnumType {
return &file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[1]
}
func (x ExecutableCode_Language) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use ExecutableCode_Language.Descriptor instead.
func (ExecutableCode_Language) EnumDescriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{4, 0}
}
// Enumeration of possible outcomes of the code execution.
type CodeExecutionResult_Outcome int32
const (
// Unspecified status. This value should not be used.
CodeExecutionResult_OUTCOME_UNSPECIFIED CodeExecutionResult_Outcome = 0
// Code execution completed successfully.
CodeExecutionResult_OUTCOME_OK CodeExecutionResult_Outcome = 1
// Code execution finished but with a failure. `stderr` should contain the
// reason.
CodeExecutionResult_OUTCOME_FAILED CodeExecutionResult_Outcome = 2
// Code execution ran for too long, and was cancelled. There may or may not
// be a partial output present.
CodeExecutionResult_OUTCOME_DEADLINE_EXCEEDED CodeExecutionResult_Outcome = 3
)
// Enum value maps for CodeExecutionResult_Outcome.
var (
CodeExecutionResult_Outcome_name = map[int32]string{
0: "OUTCOME_UNSPECIFIED",
1: "OUTCOME_OK",
2: "OUTCOME_FAILED",
3: "OUTCOME_DEADLINE_EXCEEDED",
}
CodeExecutionResult_Outcome_value = map[string]int32{
"OUTCOME_UNSPECIFIED": 0,
"OUTCOME_OK": 1,
"OUTCOME_FAILED": 2,
"OUTCOME_DEADLINE_EXCEEDED": 3,
}
)
func (x CodeExecutionResult_Outcome) Enum() *CodeExecutionResult_Outcome {
p := new(CodeExecutionResult_Outcome)
*p = x
return p
}
func (x CodeExecutionResult_Outcome) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (CodeExecutionResult_Outcome) Descriptor() protoreflect.EnumDescriptor {
return file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[2].Descriptor()
}
func (CodeExecutionResult_Outcome) Type() protoreflect.EnumType {
return &file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[2]
}
func (x CodeExecutionResult_Outcome) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use CodeExecutionResult_Outcome.Descriptor instead.
func (CodeExecutionResult_Outcome) EnumDescriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{5, 0}
}
// Defines the execution behavior for function calling by defining the
// execution 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 response.
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_ai_generativelanguage_v1beta_content_proto_enumTypes[3].Descriptor()
}
func (FunctionCallingConfig_Mode) Type() protoreflect.EnumType {
return &file_google_ai_generativelanguage_v1beta_content_proto_enumTypes[3]
}
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_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{9, 0}
}
// The base structured datatype containing multi-part content of a message.
//
// A `Content` includes a `role` field designating the producer of the `Content`
// and a `parts` field containing multi-part data that contains the content of
// the message turn.
type Content struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Ordered `Parts` that constitute a single message. Parts may have different
// MIME types.
Parts []*Part `protobuf:"bytes,1,rep,name=parts,proto3" json:"parts,omitempty"`
// Optional. The producer of the content. Must be either 'user' or 'model'.
//
// Useful to set for multi-turn conversations, otherwise can be left blank
// or unset.
Role string `protobuf:"bytes,2,opt,name=role,proto3" json:"role,omitempty"`
}
func (x *Content) Reset() {
*x = Content{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Content) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Content) ProtoMessage() {}
func (x *Content) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 Content.ProtoReflect.Descriptor instead.
func (*Content) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{0}
}
func (x *Content) GetParts() []*Part {
if x != nil {
return x.Parts
}
return nil
}
func (x *Content) GetRole() string {
if x != nil {
return x.Role
}
return ""
}
// A datatype containing media that is part of a multi-part `Content` message.
//
// A `Part` consists of data which has an associated datatype. A `Part` can only
// contain one of the accepted types in `Part.data`.
//
// A `Part` must have a fixed IANA MIME type identifying the type and subtype
// of the media if the `inline_data` field is filled with raw bytes.
type Part struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Data:
//
// *Part_Text
// *Part_InlineData
// *Part_FunctionCall
// *Part_FunctionResponse
// *Part_FileData
// *Part_ExecutableCode
// *Part_CodeExecutionResult
Data isPart_Data `protobuf_oneof:"data"`
}
func (x *Part) Reset() {
*x = Part{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Part) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Part) ProtoMessage() {}
func (x *Part) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 Part.ProtoReflect.Descriptor instead.
func (*Part) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{1}
}
func (m *Part) GetData() isPart_Data {
if m != nil {
return m.Data
}
return nil
}
func (x *Part) GetText() string {
if x, ok := x.GetData().(*Part_Text); ok {
return x.Text
}
return ""
}
func (x *Part) GetInlineData() *Blob {
if x, ok := x.GetData().(*Part_InlineData); ok {
return x.InlineData
}
return nil
}
func (x *Part) GetFunctionCall() *FunctionCall {
if x, ok := x.GetData().(*Part_FunctionCall); ok {
return x.FunctionCall
}
return nil
}
func (x *Part) GetFunctionResponse() *FunctionResponse {
if x, ok := x.GetData().(*Part_FunctionResponse); ok {
return x.FunctionResponse
}
return nil
}
func (x *Part) GetFileData() *FileData {
if x, ok := x.GetData().(*Part_FileData); ok {
return x.FileData
}
return nil
}
func (x *Part) GetExecutableCode() *ExecutableCode {
if x, ok := x.GetData().(*Part_ExecutableCode); ok {
return x.ExecutableCode
}
return nil
}
func (x *Part) GetCodeExecutionResult() *CodeExecutionResult {
if x, ok := x.GetData().(*Part_CodeExecutionResult); ok {
return x.CodeExecutionResult
}
return nil
}
type isPart_Data interface {
isPart_Data()
}
type Part_Text struct {
// Inline text.
Text string `protobuf:"bytes,2,opt,name=text,proto3,oneof"`
}
type Part_InlineData struct {
// Inline media bytes.
InlineData *Blob `protobuf:"bytes,3,opt,name=inline_data,json=inlineData,proto3,oneof"`
}
type Part_FunctionCall struct {
// A predicted `FunctionCall` returned from the model that contains
// a string representing the `FunctionDeclaration.name` with the
// arguments and their values.
FunctionCall *FunctionCall `protobuf:"bytes,4,opt,name=function_call,json=functionCall,proto3,oneof"`
}
type Part_FunctionResponse struct {
// The result output of 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.
FunctionResponse *FunctionResponse `protobuf:"bytes,5,opt,name=function_response,json=functionResponse,proto3,oneof"`
}
type Part_FileData struct {
// URI based data.
FileData *FileData `protobuf:"bytes,6,opt,name=file_data,json=fileData,proto3,oneof"`
}
type Part_ExecutableCode struct {
// Code generated by the model that is meant to be executed.
ExecutableCode *ExecutableCode `protobuf:"bytes,9,opt,name=executable_code,json=executableCode,proto3,oneof"`
}
type Part_CodeExecutionResult struct {
// Result of executing the `ExecutableCode`.
CodeExecutionResult *CodeExecutionResult `protobuf:"bytes,10,opt,name=code_execution_result,json=codeExecutionResult,proto3,oneof"`
}
func (*Part_Text) isPart_Data() {}
func (*Part_InlineData) isPart_Data() {}
func (*Part_FunctionCall) isPart_Data() {}
func (*Part_FunctionResponse) isPart_Data() {}
func (*Part_FileData) isPart_Data() {}
func (*Part_ExecutableCode) isPart_Data() {}
func (*Part_CodeExecutionResult) isPart_Data() {}
// Raw media bytes.
//
// Text should not be sent as raw bytes, use the 'text' field.
type Blob struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The IANA standard MIME type of the source data.
// Examples:
// - image/png
// - image/jpeg
//
// If an unsupported MIME type is provided, an error will be returned. For a
// complete list of supported types, see [Supported file
// formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).
MimeType string `protobuf:"bytes,1,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
// Raw bytes for media formats.
Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
}
func (x *Blob) Reset() {
*x = Blob{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Blob) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Blob) ProtoMessage() {}
func (x *Blob) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 Blob.ProtoReflect.Descriptor instead.
func (*Blob) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{2}
}
func (x *Blob) GetMimeType() string {
if x != nil {
return x.MimeType
}
return ""
}
func (x *Blob) GetData() []byte {
if x != nil {
return x.Data
}
return nil
}
// URI based data.
type FileData struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. The IANA standard MIME type of the source data.
MimeType string `protobuf:"bytes,1,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
// Required. URI.
FileUri string `protobuf:"bytes,2,opt,name=file_uri,json=fileUri,proto3" json:"file_uri,omitempty"`
}
func (x *FileData) Reset() {
*x = FileData{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FileData) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FileData) ProtoMessage() {}
func (x *FileData) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 FileData.ProtoReflect.Descriptor instead.
func (*FileData) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{3}
}
func (x *FileData) GetMimeType() string {
if x != nil {
return x.MimeType
}
return ""
}
func (x *FileData) GetFileUri() string {
if x != nil {
return x.FileUri
}
return ""
}
// Code generated by the model that is meant to be executed, and the result
// returned to the model.
//
// Only generated when using the `CodeExecution` tool, in which the code will
// be automatically executed, and a corresponding `CodeExecutionResult` will
// also be generated.
type ExecutableCode struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Programming language of the `code`.
Language ExecutableCode_Language `protobuf:"varint,1,opt,name=language,proto3,enum=google.ai.generativelanguage.v1beta.ExecutableCode_Language" json:"language,omitempty"`
// Required. The code to be executed.
Code string `protobuf:"bytes,2,opt,name=code,proto3" json:"code,omitempty"`
}
func (x *ExecutableCode) Reset() {
*x = ExecutableCode{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExecutableCode) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExecutableCode) ProtoMessage() {}
func (x *ExecutableCode) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 ExecutableCode.ProtoReflect.Descriptor instead.
func (*ExecutableCode) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{4}
}
func (x *ExecutableCode) GetLanguage() ExecutableCode_Language {
if x != nil {
return x.Language
}
return ExecutableCode_LANGUAGE_UNSPECIFIED
}
func (x *ExecutableCode) GetCode() string {
if x != nil {
return x.Code
}
return ""
}
// Result of executing the `ExecutableCode`.
//
// Only generated when using the `CodeExecution`, and always follows a `part`
// containing the `ExecutableCode`.
type CodeExecutionResult struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Outcome of the code execution.
Outcome CodeExecutionResult_Outcome `protobuf:"varint,1,opt,name=outcome,proto3,enum=google.ai.generativelanguage.v1beta.CodeExecutionResult_Outcome" json:"outcome,omitempty"`
// Optional. Contains stdout when code execution is successful, stderr or
// other description otherwise.
Output string `protobuf:"bytes,2,opt,name=output,proto3" json:"output,omitempty"`
}
func (x *CodeExecutionResult) Reset() {
*x = CodeExecutionResult{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CodeExecutionResult) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CodeExecutionResult) ProtoMessage() {}
func (x *CodeExecutionResult) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 CodeExecutionResult.ProtoReflect.Descriptor instead.
func (*CodeExecutionResult) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{5}
}
func (x *CodeExecutionResult) GetOutcome() CodeExecutionResult_Outcome {
if x != nil {
return x.Outcome
}
return CodeExecutionResult_OUTCOME_UNSPECIFIED
}
func (x *CodeExecutionResult) GetOutput() string {
if x != nil {
return x.Output
}
return ""
}
// 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.
type Tool struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. A list of `FunctionDeclarations` available to the model that can
// be used for function calling.
//
// The model or system does not execute the function. Instead the defined
// function may be returned as a [FunctionCall][content.part.function_call]
// with arguments to the client side for execution. The model may decide to
// call a subset of these functions by populating
// [FunctionCall][content.part.function_call] in the response. The next
// conversation turn may contain a
// [FunctionResponse][content.part.function_response]
// with the [content.role] "function" generation context for the next model
// turn.
FunctionDeclarations []*FunctionDeclaration `protobuf:"bytes,1,rep,name=function_declarations,json=functionDeclarations,proto3" json:"function_declarations,omitempty"`
// Optional. Enables the model to execute code as part of generation.
CodeExecution *CodeExecution `protobuf:"bytes,3,opt,name=code_execution,json=codeExecution,proto3" json:"code_execution,omitempty"`
}
func (x *Tool) Reset() {
*x = Tool{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[6]
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_ai_generativelanguage_v1beta_content_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 Tool.ProtoReflect.Descriptor instead.
func (*Tool) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{6}
}
func (x *Tool) GetFunctionDeclarations() []*FunctionDeclaration {
if x != nil {
return x.FunctionDeclarations
}
return nil
}
func (x *Tool) GetCodeExecution() *CodeExecution {
if x != nil {
return x.CodeExecution
}
return nil
}
// Tool that executes code generated by the model, and automatically returns
// the result to the model.
//
// See also `ExecutableCode` and `CodeExecutionResult` which are only generated
// when using this tool.
type CodeExecution struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
}
func (x *CodeExecution) Reset() {
*x = CodeExecution{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CodeExecution) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CodeExecution) ProtoMessage() {}
func (x *CodeExecution) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_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 CodeExecution.ProtoReflect.Descriptor instead.
func (*CodeExecution) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{7}
}
// The Tool configuration containing parameters for specifying `Tool` use
// in the request.
type ToolConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. 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_ai_generativelanguage_v1beta_content_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_ai_generativelanguage_v1beta_content_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_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{8}
}
func (x *ToolConfig) GetFunctionCallingConfig() *FunctionCallingConfig {
if x != nil {
return x.FunctionCallingConfig
}
return nil
}
// Configuration for specifying function calling behavior.
type FunctionCallingConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. Specifies the mode in which function calling should execute. If
// unspecified, the default value will be set to AUTO.
Mode FunctionCallingConfig_Mode `protobuf:"varint,1,opt,name=mode,proto3,enum=google.ai.generativelanguage.v1beta.FunctionCallingConfig_Mode" json:"mode,omitempty"`
// Optional. A set of function names that, when provided, limits the functions
// the model will call.
//
// This should only be 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_ai_generativelanguage_v1beta_content_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_ai_generativelanguage_v1beta_content_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_ai_generativelanguage_v1beta_content_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
}
// Structured representation of a function declaration as defined by the
// [OpenAPI 3.03 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.
// Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
// length of 63.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. A brief description of the function.
Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
// Optional. Describes the parameters to this function. 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.
Parameters *Schema `protobuf:"bytes,3,opt,name=parameters,proto3,oneof" json:"parameters,omitempty"`
}
func (x *FunctionDeclaration) Reset() {
*x = FunctionDeclaration{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[10]
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_ai_generativelanguage_v1beta_content_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 FunctionDeclaration.ProtoReflect.Descriptor instead.
func (*FunctionDeclaration) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{10}
}
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` with the
// arguments and their values.
type FunctionCall struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the function to call.
// Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
// length of 63.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional. The function parameters and values in JSON object format.
Args *structpb.Struct `protobuf:"bytes,2,opt,name=args,proto3,oneof" json:"args,omitempty"`
}
func (x *FunctionCall) Reset() {
*x = FunctionCall{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[11]
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_ai_generativelanguage_v1beta_content_proto_msgTypes[11]
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_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{11}
}
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.
// Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
// length of 63.
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_ai_generativelanguage_v1beta_content_proto_msgTypes[12]
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_ai_generativelanguage_v1beta_content_proto_msgTypes[12]
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_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{12}
}
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
}
// The `Schema` object allows the definition of input and output data types.
// These types can be objects, but also primitives and arrays.
// Represents a select subset of an [OpenAPI 3.0 schema
// object](https://spec.openapis.org/oas/v3.0.3#schema).
type Schema struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Data type.
Type Type `protobuf:"varint,1,opt,name=type,proto3,enum=google.ai.generativelanguage.v1beta.Type" json:"type,omitempty"`
// Optional. The format of the data. This is used only for primitive
// datatypes. Supported formats:
//
// for NUMBER type: float, double
// for INTEGER type: int32, int64
Format string `protobuf:"bytes,2,opt,name=format,proto3" json:"format,omitempty"`
// Optional. A brief description of the parameter. This could contain examples
// of use. Parameter description may be formatted as Markdown.
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
// Optional. Indicates if the value may be null.
Nullable bool `protobuf:"varint,4,opt,name=nullable,proto3" json:"nullable,omitempty"`
// Optional. Possible values of the element of Type.STRING with enum format.
// For example we can define an Enum Direction as :
// {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]}
Enum []string `protobuf:"bytes,5,rep,name=enum,proto3" json:"enum,omitempty"`
// Optional. Schema of the elements of Type.ARRAY.
Items *Schema `protobuf:"bytes,6,opt,name=items,proto3,oneof" json:"items,omitempty"`
// Optional. Properties of Type.OBJECT.
Properties map[string]*Schema `protobuf:"bytes,7,rep,name=properties,proto3" json:"properties,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
// Optional. Required properties of Type.OBJECT.
Required []string `protobuf:"bytes,8,rep,name=required,proto3" json:"required,omitempty"`
}
func (x *Schema) Reset() {
*x = Schema{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[13]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Schema) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Schema) ProtoMessage() {}
func (x *Schema) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[13]
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 Schema.ProtoReflect.Descriptor instead.
func (*Schema) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{13}
}
func (x *Schema) GetType() Type {
if x != nil {
return x.Type
}
return Type_TYPE_UNSPECIFIED
}
func (x *Schema) GetFormat() string {
if x != nil {
return x.Format
}
return ""
}
func (x *Schema) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *Schema) GetNullable() bool {
if x != nil {
return x.Nullable
}
return false
}
func (x *Schema) GetEnum() []string {
if x != nil {
return x.Enum
}
return nil
}
func (x *Schema) GetItems() *Schema {
if x != nil {
return x.Items
}
return nil
}
func (x *Schema) GetProperties() map[string]*Schema {
if x != nil {
return x.Properties
}
return nil
}
func (x *Schema) GetRequired() []string {
if x != nil {
return x.Required
}
return nil
}
// Passage included inline with a grounding configuration.
type GroundingPassage struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Identifier for the passage for attributing this passage in grounded
// answers.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Content of the passage.
Content *Content `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
}
func (x *GroundingPassage) Reset() {
*x = GroundingPassage{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[14]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GroundingPassage) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GroundingPassage) ProtoMessage() {}
func (x *GroundingPassage) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[14]
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 GroundingPassage.ProtoReflect.Descriptor instead.
func (*GroundingPassage) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{14}
}
func (x *GroundingPassage) GetId() string {
if x != nil {
return x.Id
}
return ""
}
func (x *GroundingPassage) GetContent() *Content {
if x != nil {
return x.Content
}
return nil
}
// A repeated list of passages.
type GroundingPassages struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// List of passages.
Passages []*GroundingPassage `protobuf:"bytes,1,rep,name=passages,proto3" json:"passages,omitempty"`
}
func (x *GroundingPassages) Reset() {
*x = GroundingPassages{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[15]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GroundingPassages) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GroundingPassages) ProtoMessage() {}
func (x *GroundingPassages) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[15]
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 GroundingPassages.ProtoReflect.Descriptor instead.
func (*GroundingPassages) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP(), []int{15}
}
func (x *GroundingPassages) GetPassages() []*GroundingPassage {
if x != nil {
return x.Passages
}
return nil
}
var File_google_ai_generativelanguage_v1beta_content_proto protoreflect.FileDescriptor
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}
var (
file_google_ai_generativelanguage_v1beta_content_proto_rawDescOnce sync.Once
file_google_ai_generativelanguage_v1beta_content_proto_rawDescData = file_google_ai_generativelanguage_v1beta_content_proto_rawDesc
)
func file_google_ai_generativelanguage_v1beta_content_proto_rawDescGZIP() []byte {
file_google_ai_generativelanguage_v1beta_content_proto_rawDescOnce.Do(func() {
file_google_ai_generativelanguage_v1beta_content_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1beta_content_proto_rawDescData)
})
return file_google_ai_generativelanguage_v1beta_content_proto_rawDescData
}
var file_google_ai_generativelanguage_v1beta_content_proto_enumTypes = make([]protoimpl.EnumInfo, 4)
var file_google_ai_generativelanguage_v1beta_content_proto_msgTypes = make([]protoimpl.MessageInfo, 17)
var file_google_ai_generativelanguage_v1beta_content_proto_goTypes = []any{
(Type)(0), // 0: google.ai.generativelanguage.v1beta.Type
(ExecutableCode_Language)(0), // 1: google.ai.generativelanguage.v1beta.ExecutableCode.Language
(CodeExecutionResult_Outcome)(0), // 2: google.ai.generativelanguage.v1beta.CodeExecutionResult.Outcome
(FunctionCallingConfig_Mode)(0), // 3: google.ai.generativelanguage.v1beta.FunctionCallingConfig.Mode
(*Content)(nil), // 4: google.ai.generativelanguage.v1beta.Content
(*Part)(nil), // 5: google.ai.generativelanguage.v1beta.Part
(*Blob)(nil), // 6: google.ai.generativelanguage.v1beta.Blob
(*FileData)(nil), // 7: google.ai.generativelanguage.v1beta.FileData
(*ExecutableCode)(nil), // 8: google.ai.generativelanguage.v1beta.ExecutableCode
(*CodeExecutionResult)(nil), // 9: google.ai.generativelanguage.v1beta.CodeExecutionResult
(*Tool)(nil), // 10: google.ai.generativelanguage.v1beta.Tool
(*CodeExecution)(nil), // 11: google.ai.generativelanguage.v1beta.CodeExecution
(*ToolConfig)(nil), // 12: google.ai.generativelanguage.v1beta.ToolConfig
(*FunctionCallingConfig)(nil), // 13: google.ai.generativelanguage.v1beta.FunctionCallingConfig
(*FunctionDeclaration)(nil), // 14: google.ai.generativelanguage.v1beta.FunctionDeclaration
(*FunctionCall)(nil), // 15: google.ai.generativelanguage.v1beta.FunctionCall
(*FunctionResponse)(nil), // 16: google.ai.generativelanguage.v1beta.FunctionResponse
(*Schema)(nil), // 17: google.ai.generativelanguage.v1beta.Schema
(*GroundingPassage)(nil), // 18: google.ai.generativelanguage.v1beta.GroundingPassage
(*GroundingPassages)(nil), // 19: google.ai.generativelanguage.v1beta.GroundingPassages
nil, // 20: google.ai.generativelanguage.v1beta.Schema.PropertiesEntry
(*structpb.Struct)(nil), // 21: google.protobuf.Struct
}
var file_google_ai_generativelanguage_v1beta_content_proto_depIdxs = []int32{
5, // 0: google.ai.generativelanguage.v1beta.Content.parts:type_name -> google.ai.generativelanguage.v1beta.Part
6, // 1: google.ai.generativelanguage.v1beta.Part.inline_data:type_name -> google.ai.generativelanguage.v1beta.Blob
15, // 2: google.ai.generativelanguage.v1beta.Part.function_call:type_name -> google.ai.generativelanguage.v1beta.FunctionCall
16, // 3: google.ai.generativelanguage.v1beta.Part.function_response:type_name -> google.ai.generativelanguage.v1beta.FunctionResponse
7, // 4: google.ai.generativelanguage.v1beta.Part.file_data:type_name -> google.ai.generativelanguage.v1beta.FileData
8, // 5: google.ai.generativelanguage.v1beta.Part.executable_code:type_name -> google.ai.generativelanguage.v1beta.ExecutableCode
9, // 6: google.ai.generativelanguage.v1beta.Part.code_execution_result:type_name -> google.ai.generativelanguage.v1beta.CodeExecutionResult
1, // 7: google.ai.generativelanguage.v1beta.ExecutableCode.language:type_name -> google.ai.generativelanguage.v1beta.ExecutableCode.Language
2, // 8: google.ai.generativelanguage.v1beta.CodeExecutionResult.outcome:type_name -> google.ai.generativelanguage.v1beta.CodeExecutionResult.Outcome
14, // 9: google.ai.generativelanguage.v1beta.Tool.function_declarations:type_name -> google.ai.generativelanguage.v1beta.FunctionDeclaration
11, // 10: google.ai.generativelanguage.v1beta.Tool.code_execution:type_name -> google.ai.generativelanguage.v1beta.CodeExecution
13, // 11: google.ai.generativelanguage.v1beta.ToolConfig.function_calling_config:type_name -> google.ai.generativelanguage.v1beta.FunctionCallingConfig
3, // 12: google.ai.generativelanguage.v1beta.FunctionCallingConfig.mode:type_name -> google.ai.generativelanguage.v1beta.FunctionCallingConfig.Mode
17, // 13: google.ai.generativelanguage.v1beta.FunctionDeclaration.parameters:type_name -> google.ai.generativelanguage.v1beta.Schema
21, // 14: google.ai.generativelanguage.v1beta.FunctionCall.args:type_name -> google.protobuf.Struct
21, // 15: google.ai.generativelanguage.v1beta.FunctionResponse.response:type_name -> google.protobuf.Struct
0, // 16: google.ai.generativelanguage.v1beta.Schema.type:type_name -> google.ai.generativelanguage.v1beta.Type
17, // 17: google.ai.generativelanguage.v1beta.Schema.items:type_name -> google.ai.generativelanguage.v1beta.Schema
20, // 18: google.ai.generativelanguage.v1beta.Schema.properties:type_name -> google.ai.generativelanguage.v1beta.Schema.PropertiesEntry
4, // 19: google.ai.generativelanguage.v1beta.GroundingPassage.content:type_name -> google.ai.generativelanguage.v1beta.Content
18, // 20: google.ai.generativelanguage.v1beta.GroundingPassages.passages:type_name -> google.ai.generativelanguage.v1beta.GroundingPassage
17, // 21: google.ai.generativelanguage.v1beta.Schema.PropertiesEntry.value:type_name -> google.ai.generativelanguage.v1beta.Schema
22, // [22:22] is the sub-list for method output_type
22, // [22:22] is the sub-list for method input_type
22, // [22:22] is the sub-list for extension type_name
22, // [22:22] is the sub-list for extension extendee
0, // [0:22] is the sub-list for field type_name
}
func init() { file_google_ai_generativelanguage_v1beta_content_proto_init() }
func file_google_ai_generativelanguage_v1beta_content_proto_init() {
if File_google_ai_generativelanguage_v1beta_content_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[0].Exporter = func(v any, i int) any {
switch v := v.(*Content); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[1].Exporter = func(v any, i int) any {
switch v := v.(*Part); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[2].Exporter = func(v any, i int) any {
switch v := v.(*Blob); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[3].Exporter = func(v any, i int) any {
switch v := v.(*FileData); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[4].Exporter = func(v any, i int) any {
switch v := v.(*ExecutableCode); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[5].Exporter = func(v any, i int) any {
switch v := v.(*CodeExecutionResult); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[6].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[7].Exporter = func(v any, i int) any {
switch v := v.(*CodeExecution); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[8].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[9].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[10].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[11].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[12].Exporter = func(v any, i int) any {
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_ai_generativelanguage_v1beta_content_proto_msgTypes[13].Exporter = func(v any, i int) any {
switch v := v.(*Schema); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[14].Exporter = func(v any, i int) any {
switch v := v.(*GroundingPassage); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[15].Exporter = func(v any, i int) any {
switch v := v.(*GroundingPassages); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[1].OneofWrappers = []any{
(*Part_Text)(nil),
(*Part_InlineData)(nil),
(*Part_FunctionCall)(nil),
(*Part_FunctionResponse)(nil),
(*Part_FileData)(nil),
(*Part_ExecutableCode)(nil),
(*Part_CodeExecutionResult)(nil),
}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[10].OneofWrappers = []any{}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[11].OneofWrappers = []any{}
file_google_ai_generativelanguage_v1beta_content_proto_msgTypes[13].OneofWrappers = []any{}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_ai_generativelanguage_v1beta_content_proto_rawDesc,
NumEnums: 4,
NumMessages: 17,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_ai_generativelanguage_v1beta_content_proto_goTypes,
DependencyIndexes: file_google_ai_generativelanguage_v1beta_content_proto_depIdxs,
EnumInfos: file_google_ai_generativelanguage_v1beta_content_proto_enumTypes,
MessageInfos: file_google_ai_generativelanguage_v1beta_content_proto_msgTypes,
}.Build()
File_google_ai_generativelanguage_v1beta_content_proto = out.File
file_google_ai_generativelanguage_v1beta_content_proto_rawDesc = nil
file_google_ai_generativelanguage_v1beta_content_proto_goTypes = nil
file_google_ai_generativelanguage_v1beta_content_proto_depIdxs = nil
}
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