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

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Generated code

packages/shared/prisma/generated

public-hoist-pattern[]=prisma

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

.agents/AGENTS.md

generic skill

.nvmrc

v24.6.0

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

/node_modules

Dockerfile

.dockerignore

[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...

repos:

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

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).

Byte-compiled / optimized / DLL files

pycache/

.markdownlint.yml

MD004: false # Unordered list style

Contributing

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

root = true

[*]

Structure

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

ignore:

- "guardrails/version.py"

Untitled Skill

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