belso – Better LLMs Structured Outputs

belso is a developer-friendly Python toolkit for defining, validating, and translating structured data in Large Language Models (LLMs). Compatible with major providers. Designed for simplicity, power, and extensibility.

🚀 Overview

belso (Better LLMs Structured Outputs) streamlines how developers work with structured outputs from LLMs. It offers a consistent API for schema definition, validation, and translation—helping you bridge the gap between human language and structured data, regardless of provider.

🔑 Key Features

• ✅ Unified Schema Interface – define once, use everywhere via Python dataclasses or Pydantic models
• 🔀 Multi-Provider Compatibility – seamless I/O with:
  • OpenAI
  • Anthropic
  • Google AI
  • Mistral AI
  • Hugging Face
  • Ollama
  • LangChain
• 🔁 Bi-directional Format Translation – convert schemas across LLM formats with a single call
• 🧱 Supports Nesting & Arrays – works with deeply nested fields and typed collections
• 🧪 Validation & Inspection – ensure schema integrity with built-in tools
• 📦 Serialization – import/export schemas via JSON, YAML, and XML
• ⚡ Lightweight & Fast – minimal dependencies, optimal for production use

📦 Installation

pip install belso

🧪 Quick Start

Explore the examples directory to see how belso can help you structure LLM outputs with ease.

📚 Documentation

Full documentation is available on the official site. Includes guides, API reference, and advanced usage examples.

📄 License

This project is distributed under the terms of the MIT License.

☕ Support My Work

If you find belso useful, consider supporting the project: