hypogenic

Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the hypogenic package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or scientific validation.

Version

1.1

License

MIT

Compatibility

Requires Python 3.10+ and uv for the pinned upstream package. Bundled local audit tools use only the Python standard library for JSON; YAML input requires exactly PyYAML 6.0.2. Actual HypoGeniC runs may require a separately approved LLM provider, credentials, Redis, local model resources, and network access.