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llm-tokenize

v1.1.1

Published

CLI tool to tokenize codebases for LLM usage

Readme

llm-tokenize

 _      _      __  __     _______ ____  _  ________ _   _ _____ ____________
| |    | |    |  \/  |   |__   __/ __ \| |/ /  ____| \ | |_   _|___  /  ____|
| |    | |    | \  / |______| | | |  | | ' /| |__  |  \| | | |    / /| |__
| |    | |    | |\/| |______| | | |  | |  < |  __| | . ` | | |   / / |  __|
| |____| |____| |  | |      | | | |__| | . \| |____| |\  |_| |_ / /__| |____
|______|______|_|  |_|      |_|  \____/|_|\_\______|_| \_|_____/_____|______|

🚀 Supercharge your codebase for LLM processing!

⭐ If you find this tool useful, please consider giving it a star on GitHub!

A powerful CLI tool to convert and tokenize codebases for LLM usage. Perfect for preparing your project for AI analysis!

🚀 Quick Start

Just cd into your project directory and run:

npx llm-tokenize .

That's it! Your codebase will be tokenized and ready for LLM processing. 🎉

📦 Installation

If you prefer a global installation:

npm install -g llm-tokenize

Or use directly with npx (no installation needed):

npx llm-tokenize <folder> [llm] [output_path]

🛠️ Usage

llm-tokenize <folder> [llm] [output_path]

Arguments:

  • folder: Source folder to process (required) - Use . for current directory
  • llm: LLM model to use for tokenization (default: "gpt-4")
  • output_path: Output file path (default: "./output.md")

Examples:

# Process current directory
llm-tokenize .

# Process specific project with custom output
llm-tokenize ./my-project gpt-4 ./docs/codebase.md

# Process with different LLM model
llm-tokenize . gpt-3.5-turbo

✨ Features

  • 🔄 Recursively processes entire directory structures
  • 📝 Generates well-formatted markdown documentation
  • 🌳 Includes directory tree visualization
  • 🖼️ Handles binary files appropriately
  • 🎨 Provides proper syntax highlighting for code blocks
  • 📊 Shows file types and sizes
  • 🔢 Calculates total token count for LLM context
  • 🚫 Ignores common unnecessary directories and files
  • 📦 Handles large files and binary content appropriately
  • 🎯 Respects .gitignore patterns

🚫 Ignored Items

The following are automatically ignored:

  • 📁 node_modules
  • 🔒 .git
  • 🏗️ dist/build directories
  • 📊 Coverage reports
  • 💾 Binary files
  • 🔑 Environment files
  • 📝 Log files
  • 🔒 Lock files
  • ✨ All patterns from .gitignore file

📄 Output Format

The generated markdown includes:

  1. 📋 Project overview
  2. 🌳 Directory structure
  3. 📑 File listing with:
    • 📝 File type
    • 📊 File size
    • 🎨 Syntax-highlighted content
    • 💾 Binary file notifications
    • ⚠️ Large file warnings

👨‍💻 Author

Created with ❤️ by Shuvam Kumar

⭐ Support

If you find this tool useful, please consider:

  1. Giving it a star on GitHub
  2. Reporting issues
  3. Contributing to the project

Your support helps make this tool better for everyone! 🙌

📜 License

MIT