README.md

token-count

Calculate token counts for text using various LLM tokenizers to estimate API costs and context limits

Features

• Support for GPT-3.5, GPT-4, Claude 2/3, and Llama 2/3 tokenizers
• Read input from files, stdin, or command-line arguments
• Display token count with model-specific encoding
• Calculate estimated API costs based on current pricing for each model
• Batch processing mode to analyze multiple files at once
• JSON output format for programmatic integration
• Interactive mode for testing prompts with real-time token counting
• Show token-to-character ratio and efficiency metrics
• Compare token counts across different models simultaneously
• Colorized output with clear cost breakdowns per model

How to Use

Use this project when you need to:

• Quickly solve problems related to token-count
• Integrate rust functionality into your workflow
• Learn how rust handles common patterns

Installation

# Clone the repository
git clone https://github.com/KurtWeston/token-count.git
cd token-count

# Install dependencies
cargo build

Usage

cargo run

Built With

• rust

Dependencies

• clap
• tiktoken-rs
• serde
• serde_json
• colored
• anyhow

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.