🧩 LLM Tokenizer with Pricing Calculator in Zig

This project is a Byte Pair Encoding (BPE) tokenizer written in Zig that tokenizes text and calculates the cost across various LLM providers.

It reads input from src/prompt.txt, performs BPE tokenization, and displays a comprehensive pricing table for popular language models.

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✨ Features

• Pure Zig 0.15 implementation (no dependencies outside std)
• BPE Tokenization:
  • Iteratively finds and merges most frequent adjacent byte pairs
  • Stops when no pair occurs more than once
  • ANSI-colored output for token visualization
• LLM Pricing Calculator:
  • Calculates prompt costs
  • Displays cost per prompt and price per million tokens
• Reads input from src/prompt.txt file

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🔍 Example

Create a file src/prompt.txt with your text:

Hello world! This is a test prompt.

Run:

zig build run

Output:

⚡ Usage

1. Add your text to src/prompt.txt
2. Build and run:

zig build run

Adding New Models

To add new LLM models, edit the models array in src/main.zig:

const models = [_]Model{
    .{ .name = "Your Model Name", .price_per_million = 0.50 },
    // ... other models
};

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🚀 Next Steps

• Allow reading text from a file instead of hardcoding
• Command-line arguments for file input