GraphCanon updated 2w · GitHub synced 2w
Decision brief
LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Good fit when
- - You need to secure your application from sophisticated prompt injection techniques.
- - Your development process involves integrating LLMs into production environments where security is paramount.
Avoid when
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
- - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
- Requirements:
- Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (27d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install llm-guardHow it fits your stack(2)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LLM Guard provides tools and functionalities aimed at securing interactions with large language models, addressing issues such as prompt injection and adversarial machine learning.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 5, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 5, 2026)
- Ensure you're using Python version 3.9 or higher. Confirm with: `python --version`.Source link
Source: README excerpt (regex_v1, Aug 5, 2026)
- Get started with [ChatGPT and LLM Guard](./examples/openai_api.py).Source link
Tags
README
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
For agents
This page has a .md twin and JSON over the API.