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[codespell]

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

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...

site_name: LLM Guard

site_author: Protect AI, Inc.

Byte-compiled / optimized / DLL files

pycache/

.markdownlint.yml

MD004: false # Unordered list style

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

[*]

Structure

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

ignore:

- "guardrails/version.py"

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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...

openaiapikey.txt

pycache

repos:

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

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.

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.

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

SPDX-License-Identifier: Apache-2.0

.railsignore

No description available.

Changelog

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

NVIDIA NeMo Guardrails Library

.git

.idea