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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

Contributing

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

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

root = true

[*]

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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...

Structure

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

ignore:

- "guardrails/version.py"

repos:

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

openaiapikey.txt

pycache

pycache

*.pyc

Security

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

SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.

SPDX-License-Identifier: Apache-2.0

.railsignore

No description available.

Contributing Guidelines

Welcome to NeMo Guardrails. This guide explains the contribution workflow,

Changelog

All notable changes to the Colang language and runtime will be documented in this file.

NVIDIA NeMo Guardrails Library

Changelog

All notable changes to this project will be documented in this file.

```gitignore

*.pyc

.git

.idea

repos:

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