I’ve been building BOOTH, a lightweight checkpoint layer for LLM outputs.
The idea is simple: don’t automatically trust every LLM response. Check it first.
With check_with_evidence(), BOOTH lets you compare an LLM’s answer against evidence your RAG pipeline has already retrieved.
BOOTH v0.5.2
- Zero runtime dependencies
- Provider-agnostic
- Sync + async APIs
- Structured results
- 300+ tests
- MIT licensed
I’m looking for developers interested in LLM reliability, RAG, and Python to contribute this Hacktoberfest.
🔗 Explore BOOTH: https://github.com/Vedantgitbot/booth
🛠️ Find an issue: https://github.com/Vedantgitbot/booth/issues
Whether it’s your first open-source contribution or your hundredth, you’re welcome!
