When working with Large Language Models, a recurring challenge emerges: every character in a structured data payload costs tokens, and tokens incur costs. While JSON has long been the universal standard for data exchange, the age of AI agents and LLM-driven applications calls for a re-evaluation of data serialization methods. Token-Oriented Object Notation (TOON) is a new data format designed specifically for this challenge. It can achieve a token reduction of 30-60% compared to JSON while maintaining human readability and supporting identical data structures (e.g. TOON GitHub). Why Token Efficiency Matters In traditional API development, minor variations in data size…
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