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Guardrails AI

Open source framework for validating LLM inputs and outputs

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About Guardrails AI

Guardrails AI develops an open source framework that applies validators to LLM inputs and outputs to enforce structure and safety constraints. A hub of community validators and a commercial offering support production deployments.

Common use cases

  • Preventing unsafe LLM output
  • Enforcing JSON formats
  • Detecting sensitive data
  • Quality checks for agents

Products and services

Guardrails Open Source

Python framework for adding validators and structured output checks.

Guardrails Hub

Library of prebuilt validators.

Guardrails Pro

Managed commercial offering for enterprise use.

Key features

  • Output validation
  • Structured data enforcement
  • Prebuilt validator hub
  • PII detection
  • Jailbreak detection
  • Server deployment

Integrations

  • OpenAI
  • Anthropic
  • LangChain
  • LlamaIndex
  • Hugging Face

Guardrails AI alternatives

FAQs

Is Guardrails AI open source?

Yes, the core framework is open source.

What does it check?

LLM inputs and outputs for structure, safety, PII and policy violations.

Which LLMs work with it?

It is model-agnostic and works with common hosted and open models.

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