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Guardrails AI: Input/Output Guards for LLM Applications

Guardrails AI

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Abstract

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

Categories

GuardrailsOutput ModerationInput Filtering
#tool#validation#open-source#production

Framework mappings

OWASP Top 10 for LLM Applications
  • LLM01Prompt Injection
  • LLM05Improper Output Handling

Cite

@misc{guardrails2024guardrails,
  title = {{Guardrails AI: Input/Output Guards for LLM Applications}},
  author = {{Guardrails AI}},
  year = {2024},
  url = {https://github.com/guardrails-ai/guardrails}
}