Tiktoken-Go

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Tiktoken-go is an AI Frameworks & Infra tool that provides a Go version of OpenAI's tiktoken library for fast BPE tokenization. It enables Go developers to efficiently tokenize text for use with OpenAI models.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is tiktoken-go?

Tiktoken-go is a Go port of OpenAI's tiktoken library, designed for efficient Byte Pair Encoding (BPE) tokenization. This tool allows Go developers to seamlessly integrate tokenization capabilities into their applications, particularly when working with OpenAI's various language models like GPT-3.5, GPT-4, and embedding models. It features a cache mechanism, similar to the original Python library, which can be configured via the TIKTOKEN_CACHE_DIR environment variable to store token dictionaries and avoid repeated downloads. For scenarios requiring offline operation or custom dictionary loading, Tiktoken-go supports alternative BPE loaders, including an offline loader that uses embedded files. The library also provides utility functions for counting tokens in chat API calls, adapting to different model versions and their specific token calculation rules.

Best used for

Ideal for developers who need to implement efficient text tokenization for OpenAI models in Go applications, manage token usage for API cost optimization, and integrate offline tokenization capabilities. Especially valuable for building high-performance AI applications and ensuring accurate token counting for various OpenAI model versions.

Common actions

tokenize text

integrate OpenAI models

manage token usage

develop AI applications

"AI Agents"github copilotopen-sourceface swappingdeepfakelow-code/no-codeautomated workflowworkflowscollaboration

Capabilities

Key features

Go BPE tokenization
OpenAI model compatibility
Configurable cache directory
Alternative BPE loaders
Offline BPE loading
Count chat API tokens

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

How does Tiktoken-go handle caching of token dictionaries?

Tiktoken-go uses a cache mechanism similar to the original tiktoken library. You can set the cache directory using the TIKTOKEN_CACHE_DIR environment variable. If not set, the dictionary will be downloaded each time an encoding is initialized for the first time, which can impact performance.

Can Tiktoken-go be used without an internet connection?

Yes, Tiktoken-go supports an offline BPE loader. This loader loads the BPE dictionary from embedded files, eliminating the need to download the dictionary at runtime. This is useful for applications that require offline functionality or have strict network constraints.

How accurate is the token counting for OpenAI chat API calls?

Tiktoken-go provides example functions for counting tokens in messages for models like gpt-3.5-turbo and gpt-4, based on OpenAI's cookbook. However, OpenAI's token calculation methods can change. For the most accurate results, always refer to the official OpenAI documentation, as the provided code might become outdated.

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Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Coding & Development › Backend & APIs Data & Analytics › Data Cleaning & Prep Coding & Development › Open Source & Models

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