What it does
A fast BPE tokenizer for OpenAI models, useful for counting and estimating token usage before requests go out.
Why it belongs here
You cannot manage what you do not count. Token counting is the basic meter that makes practical spend estimates possible.
Best use case
Preflight token counting, budget estimates, prompt-size checks, and developer tools that need fast tokenizer behavior.
How to use it
Count prompt and context size before requests, set warnings near limits, and record token estimates next to actual provider billing data.
Limits
Tokenizer estimates depend on model family and provider behavior. Treat counts as a planning input, not a complete billing system.
Tags
token-countingbudgetingopenai
