moonshot - Moonshot - A simple and modular tool to evaluate a

项目说明

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!Moonshot Logo

0.7.6

A simple and modular tool to e any LLM-based AI systems.

![Python 3.11]()

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🎯 Moti

De by the AI Foundation, Moonshot is a tool to bring Benchmarking and Red-Teaming together to help AI de, compliance teams e LLM-based Apps and LLMs.

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🚀 Why Moonshot

In the rapidly e landscape of Generative AI, ensuring safety, reliability, and performance of LLM applications is paramount. Moonshot addresses this critical need by pro a unified platform for:

<b>Benchmark Tests:</b> Systematically test LLM Apps or LLMs across critical trust & safety risks using a wide array of open-source benchmark dataset and metrics, including guided workflows to implement <b>IMDA's Starter Kit for LLM-based App Testing</b>.

<b>Red Team Attacks:</b> Proactively identify and potential misuse scenarios in your LLM applications through streamlined ad prompting.

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🔑 Key Features

<b>User-friendly Interfaces:</b> Interact with Moonshot via an intuitive Web UI for insights, and an interacti Line Interface (CLI) for quick operations.

<b>Comprehensi:</b>

- View list of a datasets a
- Test for <b>Performance</b> (e.g., accuracy, BLEU)
- Ensure <b>Trust & Safety</b> e.g., bias, toxicity, hallucination)
- Utilize built-in workflow to implement IMDA's Starter Kit for LLM-based App Testing. View a pre-built Cookbooks

<b>Powerful Red-Teaming:</b>

- View list of a attack modules
- Simplify ad prompt generation using algorithmic strategies or generative LLM to unco misuse.
- Le prompt templates, context strategies, and automated attack modules.

<b>Customizable Recipes:</b> Build your own benchmark tests with custom datasets (input-target pairs), prompt templates (optional), e metric, and grading scales. View a pre-built Recipes

<b>Insightful Reporting:</b> Use our HTML reports with interacti for clear of test results, and download detailed raw JSON results for deeper programmatic analysis.

<b>Extensible & Modular:</b> Designed for easy extension and integration with new LLM applications, benchmarks, and attack techniques.

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Getting Started

Moonshot can be used through several interfaces:

User-friendly Web UI - Web UI User Guide

Interacti Line Interface - CLI User Guide

Seamless Integration into your MLOps workflow Library APIs or Moonshot Web APIs - Notebook Examples, Web API Docs

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💻 Let's Go!

This section will guide you through getting Moonshot up and running.

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✅ Prerequisites

1. <b>Python:</b> 3.11 is required.

2. <b>Git Control:</b> Git is essential for cloning the repository.

3. <b>(Optional) En:</b> Highly recommended to manage dependencies.

4. If you plan to install our Web UI, you will also need Node.js 20.11.1 LTS and above
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⬇️ Installation

You can install Moonshot in ways depending on your needs

<b>1. Using pip (Recommended for most users)</b>

⚠️ You will need to have test assets from moonshot-data before you can run any tests.

🖼️ If you plan to install our Web UI, you will also need moonshot-ui

Check out our Installation Guide for more details.

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<b>2. From Source Code (For de and contributors)</b>

If you ha issues, please take a look at the Troubleshooting Guide.
<details>
<summary><b>Other installation options</b></summary>
Here's a summary of other installation commands a:

Check out our Installation Guide for more details.
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🏃‍♀️ Run Moonshot

#### Running the Web UI

Open in a browser and you should see this homepage:

!Moonshot UI Home

Refer to this guide to discover the rich features a in Moonshot Web UI

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#### Running the Interactive CLI

!Moonshot cli

Refer to this Command List to discover the list of CLI commands for Moonshot

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📚 Documentation & User Guides

For detailed information on configuring, using, and extending Moonshot, please refer to our comprehensi:

#### Guides for Moonshot Web UI

Getting Started with Moonshot Web UI

Creating Your Custom Cookbook Web UI

Creating Your Custom Connector Endpoint Web UI

Running Benchmark Test on Moonshot Web UI

Running Red Teaming on Moonshot Web UI

#### Guides for Moonshot Interactive CLI

Getting Started with Moonshot Interactive CLI

Creating Your Custom Benchmark Tests for Your RAG Apps Interactive CLI

Creating Your Custom Connector Endpoint Interactive CLI

Running Benchmark Test on Moonshot Interactive CLI

Running Red Teaming on Moonshot Interactive CLI

#### For Users Interested in trying Out Moonshot using Jupyter Notebook

Moonshot Library Python Notebook Examples

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🤝 Contribution

Moonshot is an open-source project, and we welcome contributions from the community! Whether fixing a bug, adding a new feature, improving documentation, or suggesting an enhancement, your efforts are highly .

Please refer to our Contributor Guide for details on how to get started.

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✨ Project Status

Moonshot is currently in beta. We are actively de new features, improving existing ones, and enhancing stability. We encourage you to try it out and provide feedback!

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📜 License

Moonshot is released under the Apache Software License 2.0

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项目信息

开发语言：Python

Star 数：354

技术要点

该项目属于红蓝攻防方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Moonshot - A simple and modular tool to evaluate and red-team any LLM application.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。