LLM Guard vs Prompt Inspector
LLM Guard
github.comPrompt Inspector
promptinspector.ioSide by side
| Figure | LLM Guard | Prompt Inspector |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · LLM Security Tools | 7.6 (#11) | 8.5 (#5) |
| Integrations | The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. | The maker lists a REST API, Python SDK, Node.js SDK, MCP server, and agent skills for OpenClaw and Claude Code. |
| License | The GitHub repository lists the project under the MIT License. | The core repository and documentation identify the open-source edition as AGPL-3.0 licensed. |
| 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. | Prompt Inspector provides real-time prompt injection detection, sensitive word filtering, and AI safety guardrails through an API call. |
| Support | The README directs users to GitHub issues, Slack, and [email protected] for production deployment assistance. | The homepage lists community support for self-hosted users and dedicated SLA support for enterprise customers. |
Plans
Prompt Inspector
- FreeFree
- FreeFree
- EnterprisePriced on request
- ProPriced on request
- StarterPriced on request
In their own words
LLM Guard
LLM Guard is a self-hosted security toolkit for checking interactions with large language models. It scans prompts and outputs for concerns such as prompt injection, secrets, personally identifiable information, toxicity, bias, malicious URLs, and factual consistency. It can sanitize interactions, detect harmful language, help prevent data leakage, and resist prompt injection attacks. The documentation includes examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. In the OpenAI examples, prompts and responses are scanned; a streaming example also checks response chunks. LLM Guard can run as an API, and custom scanners can be added. Installation uses `pip install llm-guard` and requires Python 3.9 or higher. It is free and listed under the MIT License, with API, Linux, and self-hosted platforms. The repository was archived on July 9, 2026, is read-only, and is no longer actively developed or maintained. Production deployment assistance is directed to GitHub issues, Slack, and [email protected].
Prompt Inspector
Prompt Inspector has no write-up on Specifiction yet; its figures are above.