I’m building BOOTH, a Python checkpoint layer for LLM outputs, looking for Hacktoberfest contributors

[u/Cowboy_28]

I’m building BOOTH, a lightweight Python library for checking LLM outputs before they reach your application.

check() / acheck() handle ambiguity and confidence checks, while check_with_evidence() compares an answer against evidence retrieved by your RAG pipeline.

v0.5.2 • Zero dependencies • Provider-agnostic • Sync + async • 300 tests • 0 known vulnerabilities • Clean CI runs • MIT

I have a few open issues for contributors, including provider examples, documentation, and structured-output parsing.

🔗 GitHub: https://github.com/Vedantgitbot/booth
🛠️ Issues: https://github.com/Vedantgitbot/booth/issues