Guardrails AI
llmops library
LLM output validation framework
Supported languages
Concepts
guardsvalidatorsrailson-fail
Pros and Cons
Ventajas
- + Structured output validation
- + Reusable guards
- + Type-safe data
- + Retry with correction
- + Open-source
Desventajas
- - Adds latency
- - Requires defining validators
- - Debugging can be complex
Casos de Uso
- Output validation
- Structured generation
- Safety guardrails
- Schema enforcement