Guardrails AI
Open-source guardrails framework and hub for validating LLM outputs, plus synthetic data and eval tooling
Guardrails AI is an AI reliability platform built around an open-source guardrails framework for production generative AI. It lets developers validate what their AI applications and agents send to users at runtime, and adds synthetic data and evaluation tools.
Key features:
- Deploy runtime guardrails that detect policy violations, hallucinations and data leakage.
- Block bad outputs before they reach users.
- Reuse validators for common checks from Guardrails Hub.
- Generate realistic synthetic datasets with user personas in Snowglobe.
- Build dynamic eval sets that target edge cases and risky behavior.
The framework is a Python library, open source under Apache 2.0, and works with any LLM and deployment environment. The framework and Hub are free to use, and enterprise offerings, used by enterprises and government agencies, are available by contacting the team.