TOON for Laravel — Bidirectional JSON ⇄ TOON Conversion & 60-70% Token Savings for AI Prompts #5
sbsaga
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Hi everyone! 🎉 In Toon v1.1.8, the inlineScalar method has been updated to fully support nested arrays and more complex structures such as user, profile, and orders. This resolves issues with deeply nested data and preserves the TOON format. You can check the full release notes and changelog here: Thanks for your feedback — this should cover the use cases discussed in this thread! |
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Hello Developers! 👋
I’m thrilled to introduce TOON for Laravel, a cutting-edge Token-Optimized Object Notation (TOON) library designed for developers working with AI models and large language models (LLMs) such as ChatGPT, OpenAI, Gemini, Claude, and Mistral. TOON transforms your JSON or PHP arrays into a compact, human-readable format, while also enabling bidirectional conversion (JSON ⇄ TOON) for maximum flexibility.
Why TOON?
Quick Example
Output:
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💬 TOON is designed to make AI development faster, cheaper, and more readable. Let’s optimize prompts together and build a more efficient AI workflow!
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