Developers can now accurately count GPT tokens before sending requests to the API, preventing unexpected costs and truncation. This is achieved using the `tiktoken` library in Python and `js-tiktoken` in JavaScript, which handle different tokenization encodings based on the model name. The process involves understanding that tokens are subword units, not words, and that elements like code, numbers, and CJK text can significantly increase token counts. Developers can also estimate token usage for chat requests by accounting for message structure and content. AI
IMPACT Enables developers to better manage API costs and avoid truncation by accurately estimating token usage before requests are sent.
RANK_REASON The article describes a method for developers to use existing libraries to count tokens before API calls, which is a practical tool for managing costs and usage.
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