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
Feature Highlights
Detailed features and capabilities
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.
Financial Compliance Validation
Specialized validators for ensuring AI outputs comply with financial regulations and industry standards, preventing non-compliant financial advice or information.
Competitor Mention Blocking
Business-focused feature that automatically detects and blocks mentions of competitors in AI-generated content, maintaining brand integrity.
VPC Deployment Options
Enterprise deployment option allowing organizations to run Guardrails AI within their own Virtual Private Cloud for enhanced security and compliance.
Community Validator Library
Extensive open-source collection of pre-built validators contributed by the community, covering various use cases and risk scenarios.
Low-Latency Performance
Optimized validation engine designed for minimal latency impact, enabling real-time safety checks without degrading application performance.
Tone & Style Validation
AI output validation for maintaining consistent tone, style, and brand voice across generated content, with customizable rules and parameters.