harmony
A renderer and parser for the harmony response format used with OpenAI's gpt-oss open-weight models.
What is harmony?
OpenAI Harmony is a library for working with the harmony response format, which defines conversation structures, reasoning output, and tool calls for the gpt-oss model series. It provides consistent formatting and parsing to ensure token sequences remain loss-free, mimicking the OpenAI Responses API for a familiar developer experience.
Developers building custom inference solutions for OpenAI's gpt-oss open-weight model series, particularly those integrating with providers like HuggingFace, Ollama, or vLLM who need to handle the harmony format directly.
Developers choose Harmony for its loss-free token sequence handling, blazing fast Rust-based performance, and first-class Python support with typed stubs, providing a familiar experience similar to the OpenAI Responses API.
Overview
Renderer for the harmony response format to be used with gpt-oss
Use Cases
Best For
- Building custom inference solutions for gpt-oss models that require direct handling of the harmony response format
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