Guardrails AI
FreemiumOpen-source framework for validating and structuring LLM inputs and outputs.
Tool Info
Categories
Guardrails
Developer
Guardrails AI
License
Open Source
Official Website
Repository
Overview
Guardrails AI wraps LLM calls with validators for inputs and outputs.
It can re-prompt when validation fails and enforces structured schemas.
Standard choice for production output safety layers.
Features
- Validator hub
- RAIL spec
- Re-ask on failure
- Custom validators
Pricing
Free tier available
Free (open source)Guardrails Hub
Pros
- Rich validator ecosystem
- Developer-friendly
- Structured output focus
Best For
Output validationStructured output enforcementPII and toxicity filtering
When NOT to Use
- Adds latency on validation
- Hub validators may need API keys
Typical Users
AI engineersSafety teams
Related Tools
Alternatives
Tags
#guardrails#safety#validation
Related Guides
- Guardrails
Learn how to add safety constraints and validation to AI outputs to prevent harmful or incorrect results.
- Structured Outputs
Learn how to get LLMs to return data in reliable formats like JSON, XML, or typed schemas.
- AI Security
Learn about threats to AI systems - prompt injection, data poisoning, and model attacks - and how to defend against them.
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