Repo · Agents & browsers

jev-ui-test

Jev-driven UI test framework: natural-language cases, pytest + Allure; TypeSafe Jev scores candidate elements instead of generating next-step prose…

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From the repository

Jev 决策模型驱动的 UI 自动化测试框架：不生成「下一步做什么」的文字，而是在候选元素里直接打分；一句话写用例，pytest 执行，Allure 出报告，每个操作决策中位 458 ms（UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision）

ai-testingallure-reporte2e-testingjevjev-ui-testjev-ultrafastpytestpythontest-automationtypesafeui-testing

How builders describe it

Jev 决策模型驱动的 UI 自动化测试框架：不生成「下一步做什么」的文字，而是在候选元素里直接打分；一句话写用例，pytest 执行，Allure 出报告，每个操作决策中位 458 ms（UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision）.

Jev-driven UI test framework: natural-language cases, pytest + Allure; TypeSafe Jev scores candidate elements instead of generating next-step prose (fork of jev-ultrafast for regression testing).

The decision Jev makes

Pick the next click, field or navigation from the legal actions on screen.

Where it fits

Browser agents need to choose an action on every step. With Jev each step is a choice from the actions actually available on the page, which keeps agents fast and on the rails. All 299 agents & browsers projects →

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