Individual skill
nemo-guardrails
Adds runtime safety rails to LLM applications with NVIDIA NeMo Guardrails, configured through Colang 2.0 flows. Covers jailbreak and prompt-injection detection, self-check input/output validation, retrieval-based fact-checking, hallucination detection, PII filtering via Presidio, toxicity detection via ActiveFence, and LlamaGuard integration. Use when adding programmable safety rules to a production LLM app, blocking jailbreaks or prompt injection, filtering PII from model inputs and outputs, verifying generated claims against retrieved sources, or tuning false positives and latency of guardrail checks. For standalone moderation only, use LlamaGuard or the OpenAI Moderation API instead.
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- Last checked
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- Apache-2.0
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# NeMo Guardrails - Programmable Safety for LLMs
## Quick start
NeMo Guardrails adds programmable safety rails to LLM applications at runtime.
**Installation**:
```bash
pip install nemoguardrails
```
**Basic example** (input validation):
```python
from nemoguardrails import RailsConfig, LLMRails