NeMo Guardrails

framework active open-source

NVIDIA's toolkit for adding programmable guardrails to LLM applications. NeMo Guardrails uses a domain-specific language (Colang) to define conversation flows, input/output rails, and safety policies. It intercepts LLM interactions to enforce rules and prevent unwanted behaviors.

Implements

Concepts this tool claims to implement:

  • Guardrails primary

    Input rails for filtering user messages. Output rails for checking LLM responses. Topical rails for keeping conversations on track. Colang language for defining conversational policies.

  • Input validation to detect and block prompt injection attempts. Jailbreak detection rails. Can integrate external classifiers.

  • Alignment secondary

    Enforce alignment through runtime checks. Define acceptable behaviors in Colang. Fact-checking rails for grounded responses.

Integration Surfaces

  • Python SDK
  • Colang configuration
  • LangChain integration
  • REST API server

Details

Vendor
NVIDIA
License
Apache-2.0
Runs On
local, cloud
Used By
system

Notes

NeMo Guardrails is more comprehensive than simple content filters. The Colang language allows sophisticated conversational policies. Good for enterprise deployments needing precise control over LLM behavior. Learning curve for Colang but very powerful once understood.