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nemo-guardrails

by davila7

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
davila7
Category
Security

About this skill

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

How to use

  1. Zainstaluj pakiet NeMo Guardrails poleceniem pip install nemoguardrails w swoim środowisku Python.

  2. Zdefiniuj konfigurację bezpieczeństwa za pomocą Colang 2.0 DSL — opisz wzorce niebezpiecznych pytań użytkownika (np. "How do I hack") i odpowiedzi bota, które powinny być blokowane (np. "I cannot help with illegal activities").

  3. Utwórz obiekt RailsConfig z zawartością swojej konfiguracji, używając metody from_content() i przekazując tekst definicji przepływów.

  4. Inicjalizuj LLMRails, przekazując skonfigurowany obiekt RailsConfig — to opakowuje Twój model i dodaje walidację w czasie rzeczywistym.

  5. Zamiast wywoływać model bezpośrednio, użyj metody generate() na obiekcie rails, przekazując wiadomości użytkownika — framework automatycznie sprawdzi je względem zdefiniowanych reguł i zablokuje niebezpieczne zapytania lub odpowiedzi.

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