Guardrails AI: Input/Output Guards for LLM Applications

Guardrails AI

Abstract

Framework for adding structural, type, and quality guarantees to LLM outputs with validators for PII, toxicity, code security, and factual accuracy.

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Cite This Resource

@article{llmsec202400057,
  title = {Guardrails AI: Input/Output Guards for LLM Applications},
  author = {Guardrails AI},
  year = {2024},
  journal = {GitHub},
  url = {https://github.com/guardrails-ai/guardrails},
}