Guardrails AI

Open Source

by Guardrails AI

Models · Large Language Models

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Python library for LLM guardrails

Open-source Python library for adding programmable guardrails (validation, filtering, correction) to LLM applications.

Real-Time Hallucination Detection: Advanced validation system that detects and prevents AI-generated hallucinations in real-time, ensuring response accuracy and truthfulness for production applications.
Toxic Language Filtering: Comprehensive content moderation system that detects and filters toxic, offensive, or inappropriate language from AI outputs using ML-based validators.
Data Leak Prevention: Security-focused feature that prevents sensitive data exposure in AI responses, including PII detection, financial data protection, and proprietary information safeguarding.
Multi-LLM Compatibility: Platform-agnostic validation framework compatible with multiple Large Language Models, enabling consistent safety measures across different AI providers.
Community Validator Library: Extensive open-source collection of pre-built validators contributed by the community, covering various use cases and risk scenarios.

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