#50 · Primary category: LLM Application Frameworks

Guardrails

agents generative-ai guardrails llm-safety llm-security llms nvidia python safety

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Project last updated:08/27/26

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Why we included this project

For teams shipping LLM-powered assistants to production, a single system prompt rarely provides enough control. NeMo Guardrails defines explicit conversation flows in Colang and attaches named rails that intercept both user inputs and model outputs. You can block off-topic or malicious requests, steer the model away from sensitive subjects, validate responses, and alter them before they reach the user. Because the rails are written as code, they are testable and portable across different underlying LLMs, making them more auditable than prompt-level guardrails alone. For developers who need policy-driven safety that doesn't depend on one fragile prompt, this is a practical toolkit.

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