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Use the NVIDIA NeMo Guardrails Library with Your AI Agent

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Use an AI coding agent to help you install, configure, evaluate, debug, or deploy the NVIDIA NeMo Guardrails library.

The easiest path is to connect your agent to the documentation MCP server. If your agent does not support MCP, copy the starter prompt and paste it into your agent chat.

Copy the Starter Prompt

Copy this prompt and paste it into your AI coding agent, such as Cursor, Claude Code, Codex, or another agent. The prompt tells the agent how to find the Markdown documentation, align docs to your installed package version, and avoid asking for secrets in chat.

Use the Documentation MCP Server

If your AI agent supports MCP, connect it to the NVIDIA NeMo Guardrails library documentation MCP server:

https://docs.nvidia.com/nemo/guardrails/_mcp/server

The MCP server lets your agent retrieve the canonical documentation without cloning the GitHub repository.

Use Markdown Documentation Pages

The documentation is available in clean Markdown for AI clients.

  • Documentation index for AI clients: https://docs.nvidia.com/nemo/guardrails/llms.txt.
  • Clean Markdown for any page: append .md to the page URL.

For example, use the Markdown version of the harmful-content tutorial:

https://docs.nvidia.com/nemo/guardrails/get-started/tutorials/nemotron-safety-guard-deployment.md

Use production documentation as the canonical source. Use staging URLs only when you are explicitly testing staging documentation.

Match the Documentation Version

If you already installed the package, ask your agent to check your installed version:

$python -c "import nemoguardrails; print(nemoguardrails.__version__)"

Use the matching versioned documentation when it is available. If you cannot determine the installed version, use the latest docs unless your project requires an older version.

Fetch Only The Agent Skills

If you want local skill files without cloning the full source tree, use a sparse checkout:

$git clone --filter=blob:none --no-checkout https://github.com/NVIDIA-NeMo/Guardrails.git
$cd Guardrails
$git sparse-checkout set --no-cone '/.agents/skills/guardrails-developer-guide/**' '/.agents/skills/guardrails-developer-create-guardrails/**' '/.claude/**' '/AGENTS.md'
$git checkout

Open the Guardrails directory in your AI coding agent. The agent can then discover the local skills and root instructions.

You can also copy the developer-focused skills to a global agent skill location if your agent supports global skills. Keep repository contribution guidance in a repository clone because it depends on local files such as AGENTS.md, docs/AGENTS.md, CONTRIBUTING.md, and AI_POLICY.md.

Keep Secrets Out Of Chat

Do not paste real API keys, tokens, passwords, or private credentials into agent chat. Use placeholders in examples and set real secrets through your shell, local environment, secret manager, or provider dashboard.