Google 将 AppFunctions 类比为 Android 的「模型上下文协议」（MCP），可以简单理解为一个对话标准，帮助第三方的 App 应用和 AI 模型进行对接。
You'll hear that phrase a few times throughout DTF St. Louis, a darkly comedic miniseries from HBO and creator Steven Conrad (Patriot). The show examines the intertwined lives of three friends, diving beneath their seemingly normal exteriors to prod at the desires and fantasies they hope will drive away their middle-age malaise. Along the way, there's an affair, a murder, and a wildly named hookup app called DTF St. Louis.
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In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.