jev-cli Lets Developers Classify Text via Terminal Without Parsing LLM Output

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A community-built open-source command-line tool called jev-cli has been released to help developers classify text without relying on parsing unpredictable LLM-generated responses. The tool interfaces with TypeSafe AI's Jev model, which returns calibrated probabilities instead of natural-language text, allowing scripts to branch on numeric outcomes. Developers can ask yes/no questions, multi-option choices, or scale-based scoring queries against any input text such as support tickets, reviews, or commit messages. Results map directly to shell exit codes, eliminating the need for fragile text parsing in automation pipelines. The project is unofficial and not affiliated with or endorsed by TypeSafe AI, and is available freely on GitHub.

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