General
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Contributing
:tada: Thanks for taking the time to contribute! :tada:
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General
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LLM Guard - The Security Toolkit for LLM Interactions
LLM Guard by [Protect AI](https://protectai.com/llm-guard) is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).
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Byte-compiled / optimized / DLL files
__pycache__/
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.markdownlint.yml
MD004: false # Unordered list style
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root = true
[*]
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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 to make the process smoother for everyone.
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Structure
Guardrails docs are served as a docusaurus site. The docs are compiled from various sources
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<div align="center">
<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">
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__pycache__
*.pyc
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openai_api_key.txt
*__pycache__*
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repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
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Security
NVIDIA is dedicated to the security and trust of our software products and services, including all source code repositories managed through our organization.
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.railsignore
No description available.
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SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0
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CONTRIBUTING GUIDELINES
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.
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Changelog
All notable changes to the Colang language and runtime will be documented in this file.
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Changelog
All notable changes to this project will be documented in this file.
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NeMo Guardrails
[](https://opensource.org/licenses/Apache-2.0)
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repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
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.git
.idea
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```gitignore
*.pyc
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You can override the included template(s) by including variable overrides
stages:
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LlamaIndex Integrations
Building LLM applications with LlamaIndex involves building with LlamaIndex
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