llm-prompt-radar is an open-source CLI tool and GitHub Action that scans for risky changes in LLM prompts and AI configuration files before deployment. It helps AI engineers and DevOps teams maintain prompt safety and configuration integrity in CI/CD pipelines.
In the LLM eval & observability space, llm-prompt-radar takes a focused approach. It focuses on preventing risky or unsafe changes to LLM prompts and AI configurations before they reach production. llm-prompt-radar is an open-source project aimed at AI engineers and DevOps teams. The project is open source (MIT). llm-prompt-radar is available on the command line.
It is developed by Tahiram32, and the product first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Across PulseGate's embedding index, llm-prompt-radar has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are prompt change detection, risk analysis, and GitHub Action integration.
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