A robust toolkit for implementing safety and control measures in Large Language Model applications. This project provides a set of configurable guardrails to enhance the reliability, safety, and ethical use of LLMs in production environments. Key features:

Input validation and sanitization Output filtering and content moderation Prompt injection protection Ethical use guidelines enforcement Customizable safety policies Integration with popular LLM APIs

Designed for developers and organizations looking to responsibly deploy LLM-powered applications while mitigating potential risks and misuse.