llm-guard

v0.3.12

LLM-Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM-Guard ensures that your interactions with LLMs remain safe and secure. For more information about how to use this package see README

Latest version published 12 days ago

License: MIT

PyPI

GitHub

Package Health Score

78 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Sustainable

Popularity

Recognized

GitHub Stars: 829
Forks: 91
Contributors: 10

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package llm-guard, we found that it has been starred 829 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 23, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 10
Open PR: 1
Last Release: 12 days ago
Last Commit: 12 days ago

Further analysis of the maintenance status of llm-guard based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that llm-guard demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 10
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like llm-guard is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.12,>=3.9

Age: 9 months
Latest Release: 12 days ago
Dependencies: 0 Direct
Versions: 22
Maintainers: 1
Wheels: OS Independent

Readme

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).

Documentation | Playground | Changelog

What is LLM Guard?

LLM-Guard

By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM-Guard ensures that your interactions with LLMs remain safe and secure.

Installation

Begin your journey with LLM Guard by downloading the package:

pip install llm-guard

Getting Started

Important Notes:

LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use out-of-the-box, please be informed that we're constantly improving and updating the repository.
Base functionality requires a limited number of libraries. As you explore more advanced features, necessary libraries will be automatically installed.
Ensure you're using Python version 3.9 or higher. Confirm with: python --version.
Library installation issues? Consider upgrading pip: python -m pip install --upgrade pip.

Examples:

Get started with ChatGPT and LLM Guard.
Deploy LLM Guard as API

Supported scanners

Prompt scanners

Output scanners

Community, Contributing, Docs & Support

LLM Guard is an open source solution. We are committed to a transparent development process and highly appreciate any contributions. Whether you are helping us fix bugs, propose new features, improve our documentation or spread the word, we would love to have you as part of our community.

Give us a ⭐️ github star ⭐️ on the top of this page to support what we're doing, it means a lot for open source projects!
Read our docs for more info about how to use and customize LLM Guard, and for step-by-step tutorials.
Post a Github Issue to submit a bug report, feature request, or suggest an improvement.
To contribute to the package, check out our contribution guidelines, and open a PR.

Join our Slack to give us feedback, connect with the maintainers and fellow users, ask questions, get help for package usage or contributions, or engage in discussions about LLM security!

Production Support

We're eager to provide personalized assistance when deploying your LLM Guard to a production environment.

Send Email ✉️

FAQs

What is llm-guard?

LLM-Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitiz... Visit Snyk Advisor to see a full health score report for llm-guard, including popularity, security, maintenance & community analysis.

Is llm-guard popular?

The python package llm-guard receives a total of 1,909 weekly downloads. As such, llm-guard popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is llm-guard well maintained?

We found that llm-guard demonstrated a healthy version release cadence and project activity. It has a community of 10 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is llm-guard safe to use?

The python package llm-guard was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 2 May-2024, at 18:20 (UTC).

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