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site_author: Protect AI, Inc.
__pycache__/
MD004: false # Unordered list style
- repo: https://github.com/pre-commit/pre-commit-hooks
:tada: Thanks for taking the time to contribute! :tada:
LLM Guard by [Protect AI](https://protectai.com/llm-guard) is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).
[*]
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 to make the process smoother for everyone.
Guardrails docs are served as a docusaurus site. The docs are compiled from various sources
<img src="https://raw.githubusercontent.com/guardrails-ai/guardrails/main/docs/dist/img/Guardrails-ai-logo-for-dark-bg.svg#gh-dark-mode-only" alt="Guardrails AI Logo" width="600px">
- "guardrails/version.py"
*.pyc
*__pycache__*
- repo: https://github.com/astral-sh/ruff-pre-commit
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All notable changes to the Colang language and runtime will be documented in this file.
All notable changes to this project will be documented in this file.
Welcome to the NeMo Guardrails contributing guide. We're excited to have you here and grateful for your contributions. This document provides guidelines and instructions for contributing to this project.
SPDX-License-Identifier: Apache-2.0
[](https://opensource.org/licenses/Apache-2.0)
.idea
*.pyc