Nemo Guardrails

NVIDIA NeMo Guardrails configuration for conversational safety and control

a5c-ai Updated 1.7k repo stars

File contents

NeMo Guardrails Skill

Capabilities

  • Configure NeMo Guardrails rails
  • Design Colang conversation flows
  • Implement input/output rails
  • Set up topic control
  • Configure jailbreak detection
  • Implement fact-checking rails

Target Processes

  • system-prompt-guardrails
  • content-moderation-safety

Implementation Details

Rail Types

  1. Input Rails: Filter user inputs
  2. Output Rails: Filter LLM outputs
  3. Dialog Rails: Control conversation flow
  4. Retrieval Rails: Filter retrieved content
  5. Execution Rails: Control action execution

Colang Components

  • Flow definitions
  • Bot message templates
  • User message patterns
  • Actions and subflows

Configuration Options

  • Rails configuration
  • LLM selection
  • Embedding model
  • Action handlers
  • Custom rail implementations

Best Practices

  • Start with built-in rails
  • Design clear flows
  • Test with adversarial inputs
  • Monitor rail activations

Dependencies

  • nemoguardrails

a5c-ai/babysitter/tree/main/library/specializations/ai-agents-conversational/skills/nemo-guardrails commit 1627eacc1c

Frequently asked questions

npx skillmds@latest add a5c-ai/nemo-guardrails