LLM Guard

What it does

API deployment

The documentation provides a deployment option to run LLM Guard as an API.checked 9 Oct 2026

Customization

The documentation describes adding custom scanners to LLM Guard.checked 9 Oct 2026

Input and output scanners

It provides scanners for prompts and outputs, including anonymization, prompt injection, secrets, toxicity, bias, malicious URLs, and factual consistency.checked 9 Oct 2026

Installation

The project documents installation with `pip install llm-guard` and requires Python 3.9 or higher.checked 9 Oct 2026

Integrations

The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex.checked 9 Oct 2026

Intended users

The project describes production deployment and offers tutorials for developers building LLM applications, including guarded RAG and agent workflows.checked 9 Oct 2026

License

The GitHub repository lists the project under the MIT License.checked 9 Oct 2026

Maintenance status

GitHub says the repository was archived on July 9, 2026, is read-only, and is no longer under active development or maintenance.checked 9 Oct 2026

OpenAI request handling

The OpenAI SDK example scans prompts before sending requests and scans responses; its streaming example scans prompts alongside the API request and checks response chunks.checked 9 Oct 2026

Purpose

LLM Guard is a security toolkit for LLM interactions that sanitizes inputs, detects harmful language, helps prevent data leakage, and resists prompt injection attacks.checked 9 Oct 2026

Security coverage

The project says it can sanitize interactions, detect harmful language, prevent data leakage, and resist prompt injection attacks.checked 9 Oct 2026

Support

The README directs users to GitHub issues, Slack, and [email protected] for production deployment assistance.checked 9 Oct 2026