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First off, thanks for taking the time to contribute! ❤️

See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

/node_modules

public-hoist-pattern[]=prisma

public-hoist-pattern[]=@aws-sdk/client-s3

Dockerfile

.dockerignore

.agents/AGENTS.md

generic skill

.nvmrc

v24.6.0

Generated code

packages/shared/prisma/generated

[codespell]

skip = .git,.pdf,.svg,package-lock.json,*.prisma,pnpm-lock.yaml,./worker/src/tests/chatml/framework-traces

site_name: LLM Guard

site_author: Protect AI, Inc.

Security Policy

We take the security of our software products seriously, which includes not only the code base but also the scanners provided within. If you have found any issues that might have security implications...

.markdownlint.yml

MD004: false # Unordered list style

Byte-compiled / optimized / DLL files

pycache/

LLM Guard - The Security Toolkit for LLM Interactions

LLM Guard by Protect AI is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).

Contributing

:tada: Thanks for taking the time to contribute! :tada:

repos:

- repo: https://github.com/pre-commit/pre-commit-hooks

root = true

[*]

Untitled Skill

ignore:

- "guardrails/version.py"

Structure

Guardrails docs are served as a docusaurus site. The docs are compiled from various sources

Contributing to Guardrails

Welcome and thank you for your interest in contributing to Guardrails! We appreciate all contributions, big or small, from bug fixes to new features. Before diving in, let's go through some guidelines...

openaiapikey.txt

pycache

pycache

*.pyc

repos:

- repo: https://github.com/astral-sh/ruff-pre-commit

Security

NVIDIA is dedicated to the security and trust of our software products and services, including all source code repositories managed through our organization.