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model.pb.go
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model.pb.go
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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 v1.31.0
// protoc v4.23.2
// source: google/ai/generativelanguage/v1beta2/model.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"
)
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)
)
// Information about a Generative Language Model.
type Model struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the `Model`.
//
// Format: `models/{model}` with a `{model}` naming convention of:
//
// * "{base_model_id}-{version}"
//
// Examples:
//
// * `models/chat-bison-001`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The name of the base model, pass this to the generation request.
//
// Examples:
//
// * `chat-bison`
BaseModelId string `protobuf:"bytes,2,opt,name=base_model_id,json=baseModelId,proto3" json:"base_model_id,omitempty"`
// Required. The version number of the model.
//
// This represents the major version
Version string `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
// The human-readable name of the model. E.g. "Chat Bison".
//
// The name can be up to 128 characters long and can consist of any UTF-8
// characters.
DisplayName string `protobuf:"bytes,4,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// A short description of the model.
Description string `protobuf:"bytes,5,opt,name=description,proto3" json:"description,omitempty"`
// Maximum number of input tokens allowed for this model.
InputTokenLimit int32 `protobuf:"varint,6,opt,name=input_token_limit,json=inputTokenLimit,proto3" json:"input_token_limit,omitempty"`
// Maximum number of output tokens available for this model.
OutputTokenLimit int32 `protobuf:"varint,7,opt,name=output_token_limit,json=outputTokenLimit,proto3" json:"output_token_limit,omitempty"`
// The model's supported generation methods.
//
// The method names are defined as Pascal case
// strings, such as `generateMessage` which correspond to API methods.
SupportedGenerationMethods []string `protobuf:"bytes,8,rep,name=supported_generation_methods,json=supportedGenerationMethods,proto3" json:"supported_generation_methods,omitempty"`
// Controls the randomness of the output.
//
// Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will
// produce responses that are more varied, while a value closer to `0.0` will
// typically result in less surprising responses from the model.
// This value specifies default to be used by the backend while making the
// call to the model.
Temperature *float32 `protobuf:"fixed32,9,opt,name=temperature,proto3,oneof" json:"temperature,omitempty"`
// For Nucleus sampling.
//
// Nucleus sampling considers the smallest set of tokens whose probability
// sum is at least `top_p`.
// This value specifies default to be used by the backend while making the
// call to the model.
TopP *float32 `protobuf:"fixed32,10,opt,name=top_p,json=topP,proto3,oneof" json:"top_p,omitempty"`
// For Top-k sampling.
//
// Top-k sampling considers the set of `top_k` most probable tokens.
// This value specifies default to be used by the backend while making the
// call to the model.
TopK *int32 `protobuf:"varint,11,opt,name=top_k,json=topK,proto3,oneof" json:"top_k,omitempty"`
}
func (x *Model) Reset() {
*x = Model{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta2_model_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Model) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Model) ProtoMessage() {}
func (x *Model) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta2_model_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 Model.ProtoReflect.Descriptor instead.
func (*Model) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta2_model_proto_rawDescGZIP(), []int{0}
}
func (x *Model) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *Model) GetBaseModelId() string {
if x != nil {
return x.BaseModelId
}
return ""
}
func (x *Model) GetVersion() string {
if x != nil {
return x.Version
}
return ""
}
func (x *Model) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *Model) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *Model) GetInputTokenLimit() int32 {
if x != nil {
return x.InputTokenLimit
}
return 0
}
func (x *Model) GetOutputTokenLimit() int32 {
if x != nil {
return x.OutputTokenLimit
}
return 0
}
func (x *Model) GetSupportedGenerationMethods() []string {
if x != nil {
return x.SupportedGenerationMethods
}
return nil
}
func (x *Model) GetTemperature() float32 {
if x != nil && x.Temperature != nil {
return *x.Temperature
}
return 0
}
func (x *Model) GetTopP() float32 {
if x != nil && x.TopP != nil {
return *x.TopP
}
return 0
}
func (x *Model) GetTopK() int32 {
if x != nil && x.TopK != nil {
return *x.TopK
}
return 0
}
var File_google_ai_generativelanguage_v1beta2_model_proto protoreflect.FileDescriptor
var file_google_ai_generativelanguage_v1beta2_model_proto_rawDesc = []byte{
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}
var (
file_google_ai_generativelanguage_v1beta2_model_proto_rawDescOnce sync.Once
file_google_ai_generativelanguage_v1beta2_model_proto_rawDescData = file_google_ai_generativelanguage_v1beta2_model_proto_rawDesc
)
func file_google_ai_generativelanguage_v1beta2_model_proto_rawDescGZIP() []byte {
file_google_ai_generativelanguage_v1beta2_model_proto_rawDescOnce.Do(func() {
file_google_ai_generativelanguage_v1beta2_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1beta2_model_proto_rawDescData)
})
return file_google_ai_generativelanguage_v1beta2_model_proto_rawDescData
}
var file_google_ai_generativelanguage_v1beta2_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_google_ai_generativelanguage_v1beta2_model_proto_goTypes = []interface{}{
(*Model)(nil), // 0: google.ai.generativelanguage.v1beta2.Model
}
var file_google_ai_generativelanguage_v1beta2_model_proto_depIdxs = []int32{
0, // [0:0] is the sub-list for method output_type
0, // [0:0] is the sub-list for method input_type
0, // [0:0] is the sub-list for extension type_name
0, // [0:0] is the sub-list for extension extendee
0, // [0:0] is the sub-list for field type_name
}
func init() { file_google_ai_generativelanguage_v1beta2_model_proto_init() }
func file_google_ai_generativelanguage_v1beta2_model_proto_init() {
if File_google_ai_generativelanguage_v1beta2_model_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_google_ai_generativelanguage_v1beta2_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Model); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_ai_generativelanguage_v1beta2_model_proto_msgTypes[0].OneofWrappers = []interface{}{}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_ai_generativelanguage_v1beta2_model_proto_rawDesc,
NumEnums: 0,
NumMessages: 1,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_ai_generativelanguage_v1beta2_model_proto_goTypes,
DependencyIndexes: file_google_ai_generativelanguage_v1beta2_model_proto_depIdxs,
MessageInfos: file_google_ai_generativelanguage_v1beta2_model_proto_msgTypes,
}.Build()
File_google_ai_generativelanguage_v1beta2_model_proto = out.File
file_google_ai_generativelanguage_v1beta2_model_proto_rawDesc = nil
file_google_ai_generativelanguage_v1beta2_model_proto_goTypes = nil
file_google_ai_generativelanguage_v1beta2_model_proto_depIdxs = nil
}