ai/generativelanguage/apiv1/generativelanguagepb/model.pb.go - gocloud - Git at Google

 // Copyright 2023 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
 // You may obtain a copy of the License at
 //
 //     http://www.apache.org/licenses/LICENSE-2.0
 //
 // Unless required by applicable law or agreed to in writing, software
 // distributed under the License is distributed on an "AS IS" BASIS,
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.

 // Code generated by protoc-gen-go. DO NOT EDIT.
 // versions:
 // 	protoc-gen-go v1.33.0
 // 	protoc        v4.25.3
 // source: google/ai/generativelanguage/v1/model.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.
 	// If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't
 	// allowed as a generation parameter.
 	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_v1_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_v1_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_v1_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_v1_model_proto protoreflect.FileDescriptor

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 var (
 	file_google_ai_generativelanguage_v1_model_proto_rawDescOnce sync.Once
 	file_google_ai_generativelanguage_v1_model_proto_rawDescData = file_google_ai_generativelanguage_v1_model_proto_rawDesc
 )

 func file_google_ai_generativelanguage_v1_model_proto_rawDescGZIP() []byte {
 	file_google_ai_generativelanguage_v1_model_proto_rawDescOnce.Do(func() {
 		file_google_ai_generativelanguage_v1_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1_model_proto_rawDescData)
 	})
 	return file_google_ai_generativelanguage_v1_model_proto_rawDescData
 }

 var file_google_ai_generativelanguage_v1_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
 var file_google_ai_generativelanguage_v1_model_proto_goTypes = []interface{}{
 	(*Model)(nil), // 0: google.ai.generativelanguage.v1.Model
 }
 var file_google_ai_generativelanguage_v1_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_v1_model_proto_init() }
 func file_google_ai_generativelanguage_v1_model_proto_init() {
 	if File_google_ai_generativelanguage_v1_model_proto != nil {
 		return
 	}
 	if !protoimpl.UnsafeEnabled {
 		file_google_ai_generativelanguage_v1_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_v1_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_v1_model_proto_rawDesc,
 			NumEnums:      0,
 			NumMessages:   1,
 			NumExtensions: 0,
 			NumServices:   0,
 		},
 		GoTypes:           file_google_ai_generativelanguage_v1_model_proto_goTypes,
 		DependencyIndexes: file_google_ai_generativelanguage_v1_model_proto_depIdxs,
 		MessageInfos:      file_google_ai_generativelanguage_v1_model_proto_msgTypes,
 	}.Build()
 	File_google_ai_generativelanguage_v1_model_proto = out.File
 	file_google_ai_generativelanguage_v1_model_proto_rawDesc = nil
 	file_google_ai_generativelanguage_v1_model_proto_goTypes = nil
 	file_google_ai_generativelanguage_v1_model_proto_depIdxs = nil
 }
	// Copyright 2023 Google LLC
	//
	// Licensed under the Apache License, Version 2.0 (the "License");
	// you may not use this file except in compliance with the License.
	// You may obtain a copy of the License at
	//
	// http://www.apache.org/licenses/LICENSE-2.0
	//
	// Unless required by applicable law or agreed to in writing, software
	// distributed under the License is distributed on an "AS IS" BASIS,
	// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	// See the License for the specific language governing permissions and
	// limitations under the License.

	// Code generated by protoc-gen-go. DO NOT EDIT.
	// versions:
	// protoc-gen-go v1.33.0
	// protoc v4.25.3
	// source: google/ai/generativelanguage/v1/model.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.
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	// 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.
	// If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't
	// allowed as a generation parameter.
	TopK *int32 `protobuf:"varint,11,opt,name=top_k,json=topK,proto3,oneof" json:"top_k,omitempty"`
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	return 0
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