Toon

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Toon is a Token-Oriented Object Notation, a compact and human-readable JSON format for LLM prompts. It aims to improve the efficiency and readability of data for AI models.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is toon?

Toon introduces a Token-Oriented Object Notation, designed to be a compact, human-readable, and schema-aware JSON format specifically for Large Language Model (LLM) prompts. The project includes a detailed specification, benchmarks to demonstrate its performance, and a TypeScript SDK for easy integration. Its primary goal is to enhance the efficiency and readability of data utilized within AI models, making prompt engineering more streamlined and less error-prone. By providing a structured and optimized format, Toon helps developers and researchers manage and interact with LLMs more effectively.

Best used for

Optimizing and structuring data for Large Language Model prompts to improve efficiency and readability.

Common actions

Optimize LLM prompts

Structure AI data

Improve data readability

Enhance prompt efficiency

Develop with LLMs

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Capabilities

Key features

Token-Oriented Object Notation
Compact JSON format
Human-readable
Schema-aware
TypeScript SDK

Target Audience

AI DevelopersLLM EngineersData ScientistsResearchers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

How does Toon compare to standard JSON in terms of token usage and performance for LLM prompts?

Toon is designed to be more compact than standard JSON, aiming to reduce token usage in LLM prompts. The project includes benchmarks to demonstrate its performance advantages, which can lead to more efficient and cost-effective interactions with large language models.

What are the main benefits of using Toon's schema-aware format for LLM prompt engineering?

The schema-aware nature of Toon helps in defining and validating the structure of data used in LLM prompts. This reduces errors, improves consistency, and makes prompt engineering more predictable and manageable, especially for complex data structures.

Is the TypeScript SDK the only way to integrate Toon into my projects, or are there plans for other language support?

Currently, Toon provides a TypeScript SDK for easy integration. While the specification is open, the initial focus is on TypeScript. Future language support would depend on community demand and project development.

Can Toon be used for data exchange beyond LLM prompts, or is it strictly optimized for AI model interactions?

While Toon is specifically optimized for LLM prompts due to its token-oriented and compact design, its human-readable and schema-aware properties could potentially make it suitable for other data exchange scenarios where efficiency and structure are important, though this is not its primary focus.

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AI Agents & Automation › AI Frameworks & Infra

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