tiktoken-rs
A Rust implementation of OpenAI's tiktoken tokenizer for working with GPT models and token counting.
What is tiktoken-rs?
tiktoken-rs is a Rust library that implements OpenAI's tiktoken tokenizer algorithm for working with GPT language models. It provides functionality to tokenize text and count tokens using the same encodings employed by various GPT models, helping developers manage API usage and understand model input constraints.
Rust developers working with OpenAI's GPT models who need to tokenize text, count tokens, or integrate tokenization functionality into their applications without relying on Python dependencies.
Developers choose tiktoken-rs because it provides a pure Rust implementation of OpenAI's tokenization system, offering better performance and integration in Rust ecosystems compared to Python-based alternatives while maintaining full compatibility with OpenAI's official tokenization.
Overview
Ready-made tokenizer library for working with GPT and tiktoken
Use Cases
Best For
- Counting tokens in text before sending to GPT API endpoints
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