Back to AI Tools
Guardrails AI
Open Sourceby Guardrails AI
4.5(0 ratings)
Best For
About Guardrails AI
Python library for LLM guardrails
Open-source Python library for adding programmable guardrails (validation, filtering, correction) to LLM applications.
Tool Information
- License
- Open Source
- Type
- Cost
- Open Source
- Released
- 2025
- Supported Languages
- Python
Key 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.
Community Validator Library
- Extensive open-source collection of pre-built validators contributed by the community, covering various use cases and risk scenarios.
Prompts for Guardrails AI
Similar Tools
Works Well With
Curated combinations that pair nicely with Guardrails AI for faster experimentation.
We're mapping complementary tools for this entry. Until then, explore similar tools above or check recommended stacks on challenge pages.