Guardrails AI
Python library for LLM guardrails
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About Guardrails AI
What this tool does and how it can help you
Open-source Python library for adding programmable guardrails (validation, filtering, correction) to LLM applications.
Prompts for Guardrails AI
Challenges using Guardrails AI
Key Capabilities
What you can accomplish with Guardrails AI
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.
Tool Details
Technical specifications and requirements
License
Open Source
Pricing
Open Source
Supported Languages
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Works Well With
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