TiktokenSharp 1.0.0

.NET Standard 2.1 This package targets .NET Standard 2.1. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package TiktokenSharp --version 1.0.0                

                    
                

            
NuGet\Install-Package TiktokenSharp -Version 1.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="TiktokenSharp" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TiktokenSharp --version 1.0.0                

                    
                

            
#r "nuget: TiktokenSharp, 1.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install TiktokenSharp as a Cake Addin
#addin nuget:?package=TiktokenSharp&version=1.0.0

// Install TiktokenSharp as a Cake Tool
#tool nuget:?package=TiktokenSharp&version=1.0.0

TiktokenSharp

"Due to the lack of a C# version of cl100k_base encoding (gpt-3.5-turbo), I have implemented a basic solution with encoding and decoding methods based on the official Rust implementation.

Currently, only cl100k_base has been implemented. Other encodings will be added in future submissions. If you encounter any issues or have questions, please feel free to submit them on the lssues."

Start

using TiktokenSharp;
TikToken tikToken = TikToken.EncodingForModel("gpt-3.5-turbo");
var i = tikToken.Encode("hello world"); //[15339, 1917]
var d = tikToken.Decode(i); //hello world
Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • .NETStandard 2.1

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on TiktokenSharp:

Package Downloads
ChatGPTSharp

Supports GPT-4V, GPT-3.5 models; auto-calculates request tokens; enables continuous dialogues with conversation IDs; now includes Vision model image sending.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on TiktokenSharp:

Repository Stars
dmitry-brazhenko/SharpToken
SharpToken is a C# library for tokenizing natural language text. It's based on the tiktoken Python library and designed to be fast and accurate.
MayDay-wpf/AIBotPublic
AIBot PRO 是一个基于.NET 6 的 AI聚合客户端 to C 弱 to B 可以集成众多AI产品(ChatGPT,Gemini,Claude,文心一言,通义千问,讯飞星火)，无感切换对话，支持知识库、插件开发、AI流程引擎（workflow）、以及开放平台对外输出定制化的特色AI API
Version Downloads Last updated
1.1.5 2,943 10/8/2024
1.1.4 31,683 5/14/2024
1.1.2 440 5/14/2024 1.1.2 is deprecated because it has critical bugs.
1.1.1 106 5/14/2024 1.1.1 is deprecated because it has critical bugs.
1.1.0 6,656 4/8/2024
1.0.9 12,912 2/8/2024
1.0.8 14,008 12/27/2023
1.0.7 24,583 10/10/2023
1.0.6 63,291 6/25/2023
1.0.5 50,971 5/8/2023
1.0.4 1,924 4/24/2023
1.0.3 2,311 3/21/2023
1.0.2 606 3/17/2023
1.0.1 1,411 3/13/2023
1.0.0 615 3/7/2023