# TOON for TYPO3 ### Compact Β· Token-Efficient Β· Human-Readable Data Format for AI Prompts & LLM Contexts

Version 1.0.0 License TYPO3 12,13 PHP 8.0+ AI Ready

--- ## πŸ“š Table of Contents 1. [Overview](#-overview) 2. [Key Features](#-key-features) 3. [Benchmark & Analytics](#-real-world-benchmark) 4. [Installation](#-installation) 5. [Configuration](#-configuration) 6. [Usage](#-usage) 7. [Quick Benchmark Route](#-quick-benchmark-route) 8. [Analytics & Visualization](#-analytics--visualization) 10. [Integration Use Cases](#-integration-use-cases) 11. [Compatibility](#-compatibility) 12. [Compression Visualization](#-example-compression-visualization) 14. [License](#-license) --- ## ✨ Overview **TOON for TYPO3** β€” also known as **Token-Optimized Object Notation** β€” is a **TYPO3-native AI data optimization library** that transforms large JSON or PHP arrays into a **compact, readable, and token-efficient format**. It’s crafted for developers working with **ChatGPT, Gemini, Claude, Mistral, or OpenAI APIs**, helping you: βœ… Save tokens and reduce API costs βœ… Simplify complex prompt structures βœ… Improve AI response quality and context understanding βœ… Maintain human readability and reversibility --- ## πŸš€ Key Features | Feature | Description | | ----------------------------------- | ----------------------------------------------------------- | | πŸ” **Bidirectional Conversion** | Convert JSON ⇄ TOON with ease | | 🧩 **Readable & Compact** | YAML-like structure, human-friendly format | | πŸ’° **Token-Efficient** | Save up to 70% tokens on every AI prompt | | πŸ”’ **Preserves Key Order** | Ensures deterministic data output | | πŸ“Š **Built-in Analytics** | Measure token, byte, and compression performance | | 🌍 **AI & LLM Ready** | Optimized for ChatGPT, Gemini, Claude, and Mistral models | | πŸ†• **Complex Nested Array Support** | Fully supports deeply nested associative and indexed arrays | --- ## Complex & Nested Array Support TOON now supports **deeply nested and mixed data structures**, including: - Multi-level associative arrays - Indexed collections inside objects - Complex real-world structures like users, profiles, orders, metadata, and logs This enhancement ensures that **no structural information is lost**, while still benefiting from TOON’s compact, token-efficient format. ### Example: Nested Data Conversion ```php $data = [ 'user' => [ 'id' => 101, 'active' => true, 'roles' => ['admin', 'editor'], 'profile' => [ 'age' => 32, 'location' => [ 'city' => 'ABC', 'country' => 'India', ], ], ], 'orders' => [ [ 'order_id' => 'ORD-1001', 'amount' => 1998, 'status' => 'paid', ], ], ]; echo \RRP\T3Toon\Service\Toon::convert($data); ``` This structure remains **human-readable, reversible, and compact**, even with deep nesting. --- ## πŸ§ͺ Real-World Benchmark | Metric | JSON | TOON | Reduction | | ------------- | ----- | ----- | ----------------------- | | Size (bytes) | 7,718 | 2,538 | **67.12% smaller** | | Tokens (est.) | 1,930 | 640 | **~66.8% fewer tokens** | ### πŸ“ˆ Visual Comparison ``` JSON (7.7 KB) β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ TOON (2.5 KB) β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ ``` πŸ’‘ **TOON** reduces token load by _60–75%_, improving **AI efficiency**, **cost**, and **response quality**. --- ## βš™οΈ Installation ```bash composer require rrp/t3-toon ``` --- ## βš™οΈ Configuration --- ## 🧠 Usage ### ➀ Convert JSON β†’ TOON ```php $data = [ 'user' => 'ABC', 'message' => 'Hello, how are you?', 'tasks' => [ ['id' => 1, 'done' => false], ['id' => 2, 'done' => true], ], ]; $converted = \RRP\T3Toon\Service\Toon::convert($data); echo $converted; ``` **Output:** ``` user: ABC message: Hello\, how are you? tasks: items[2]{done,id}: false,1 true,2 ``` --- ### ➀ Convert TOON β†’ JSON ```php $toon = << Made with 🧑 for TYPO3 community