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Tools that monitor Python scripts for runtime crashes to trigger automated debugging cycles.
Distinct from Runtime Error Detectors: Focuses on Python runtime crash detection for the purpose of automated repair rather than general test failure detection.
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Wolverine 是一个 AI 代码修复工具和自愈 Python 运行时,旨在监控脚本的运行时崩溃并自动恢复源代码。它作为一个自动化脚本恢复工具,识别故障并利用大语言模型提出并应用修正。 该系统通过迭代调试循环运行,捕获回溯数据并将其反馈给语言模型,以通过试错法优化修复方案。为了确保安全,它包括一个人在回路 (human-in-the-loop) 的验证机制,在生成的代码更改被修补到原始源文件之前需要手动批准。 该工具涵盖了自动化脚本调试和迭代测试的更广泛功能。它包括可配置的模型路由,允许用户指定首选语言模型并定义自动化修改的确认级别。
Watches executing Python scripts for crashes and captures traceback data to initiate the self-healing process.