> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/guardrails/_mcp/server.

# About NeMo Guardrails Library

## Docs

- [Overview](https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/overview.md): Add programmable guardrails to LLM applications with this open-source Python library.
- [Architecture Overview](https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/how-it-works.md): Understand the request flow, runtime layers, and integration points in the NVIDIA NeMo Guardrails library.
- [Guardrail Types](https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/rail-types.md): Apply input, retrieval, dialog, execution, and output rails to protect LLM applications.
- [Supported LLMs](https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/supported-llms.md): Connect to NVIDIA NIM, OpenAI, Azure, Anthropic, Hugging Face, and LangChain providers.
- [Release Notes](https://docs.nvidia.com/nemo/guardrails/v0.24.1/about-nemo-guardrails-library/release-notes.md): Review new features, breaking changes, and fixed issues for each release.