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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).

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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...

ignore:

- "guardrails/version.py"

Structure

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

pycache

*.pyc

repos:

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

openaiapikey.txt

pycache

Security

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

.railsignore

No description available.

Changelog

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

Changelog

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

NVIDIA NeMo Guardrails Library

Contributing Guidelines

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

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

SPDX-License-Identifier: Apache-2.0

```gitignore

*.pyc

You can override the included template(s) by including variable overrides

stages:

repos:

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

.git

.idea

LlamaIndex Integrations

Building LLM applications with LlamaIndex involves building with LlamaIndex

name: pygwalker

channels:

Code of Conduct

We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnici...

This Pylint rcfile contains a best-effort configuration to uphold the

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