LLM Guardrails Demo

This repository contains the code and examples discussed in the blog post "Building Safer AI Chatbots: A Practical Guide to LLM Guardrails".

Overview

This repostiory demonstrates how to implement guardrails for LLM-based chatbots using the NeMo Guardrails framework. The project includes:

• A fictional "LLMotors" chatbot implementation
• Step-by-step guide to adding input and output checks
• Examples of basic and more advanced guardrails

Getting Started

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Run the demo: python llm_guardrails_demo/ui.py

Changing Guardrail Configurations

The different guardrail configurations mentioned in the blog post can be found in the guardrail_configs directory. To change the guardrail copy and paste the desired configuration into the llm_guardrails_demo/config directory.

Learn More

For a comprehensive guide on implementing LLM guardrails, read the full blog post here TODO.