Tiktokenizer provides an online playground for OpenAI's tiktoken library, enabling users to accurately calculate token counts for prompts. It is designed for developers and researchers working with large language models who need to manage token limits and costs.

How It Works

The playground leverages the tiktoken library, a fast BPE tokenizer developed by OpenAI, to process user-provided text. It displays the tokenization process and the final count, offering a clear visualization of how text is converted into tokens.

Quick Start & Requirements

• Install: npm install
• Run: npm run dev
• Prerequisites: Node.js, npm.
• Demo: https://tiktokenizer.vercel.app/

Highlighted Details

• Built using the T3 Stack (Next.js, Tailwind CSS, TypeScript, tRPC).
• Utilizes shadcn/ui for component styling.
• Demonstrates real-time token counting for prompts.

Maintenance & Community

The project is maintained by dqbd. Further community engagement details are not provided in the README.

Licensing & Compatibility

The repository does not explicitly state a license. Users should verify licensing for commercial use or integration into closed-source projects.

Limitations & Caveats

The project is presented as an online playground and may not be suitable for direct integration into production systems without further review. Specific tiktoken encoding models supported are not detailed.