Guardrails AI

Verified

Python framework for adding guardrails to LLM applications. Detects, quantifies, and mitigates specific risks via Input/Output Guards. 7K+ GitHub stars.

Website

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Founded

2023

Employees

11-50

Regions

Global

Frameworks Covered

Services

llm-guardrailsinput-validationoutput-validationrisk-detection

About Guardrails AI

Guardrails AI is a Python framework that helps build reliable AI applications by running Input/Output Guards that detect, quantify, and mitigate specific types of risks. The Guardrails Hub provides pre-built validators for common risk categories.

Features

Input and Output Guards for LLM validation
Guardrails Hub with pre-built validators
Structured data generation from LLMs
Guardrails Server (standalone Flask service with REST API)
Works with any LLM (proprietary and open-source)
Guardrails Index benchmarking 24 guardrails across 6 categories

Installation

pip install guardrails-ai

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