Why TOON Is Becoming the Go-To Data Format for AI Developers If you have been working with LLMs lately, you have probably noticed how quickly token costs can pile up. Every API call, every prompt, every response - it all adds up. That is where TOON (Token-Oriented Object Notation) comes in. TOON is a human-readable, schema-aware serialization format specifically designed for LLM inputs. Think of it as JSON's more efficient cousin - it preserves the same data model with objects, arrays, and primitives, but strips away the unnecessary punctuation that bloats your token count. Instead of all those braces, brackets, and quotes, TOON uses a cleaner, tabular format that feels like a hybrid between YAML and CSV. Here's a quick example. Traditional JSON for a user list looks like this: { "users": [ {"id": 1, "name": "Dheeraj"}, {"id": 2, "name": "Pankaj"}, {"id": 3, ...
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