OpenAI Harmony
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OpenAI Harmony is the official renderer and parser library for the Harmony response format — a special structured output format developed by OpenAI for its open-weight model series gpt-oss. It ensures correct conversation formatting, chain-of-thought reasoning, tool calling, and structured outputs when running these models locally or via custom inference.
✨Key Features
- ▸Purpose: Provides consistent rendering and parsing of the Harmony format so gpt-oss models work correctly (they were trained exclusively on this format).
- ▸Core Features: Fast Rust-based implementation with Python bindings, full support for multi-channel outputs (reasoning, commentary, final response), tool namespaces, and structured function calls.
- ▸Languages: Primary implementation in Rust (blazing fast), with excellent Python support (pip install openai-harmony) and some JavaScript.
- ▸Use Cases: Essential for anyone self-hosting gpt-oss models with custom inference (vLLM, Ollama, Hugging Face, etc.) or building their own inference engines.
- ▸Benefits: Loss-free token handling, high performance, consistent formatting, and easy integration for developers working with OpenAI’s open models.
- ▸License: Apache-2.0 (fully open source).
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