我在《把离线AI智能体装进口袋里》（The Dawn of Offline AI Agents in Your Pocket）一文中对此进行了详细阐述。但文章中的示例更像是Demo，而非生产解决方案。像 Gemma 3n 这样的模型虽然能够很好地处理函数调用，但它们体积过大：无法集成到应用程序包中，需要单独下载，即使在旗舰机型上推理速度也很慢。在低端设备上，它们根本无法运行。而较小的型号则经常出现故障，难以记住工具。
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，这一点在谷歌浏览器【最新下载地址】中也有详细论述
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（一）政府性基金或者行政事业性收费；
The V3 approach obliterates this race condition by hooking addSourceBuffer at the MediaSource.prototype level, I intercept the creation of every SourceBuffer. The moment a buffer is created and returned, I immediately install a hooked appendBuffer directly on that specific instance; before any page code can even see the instance, let alone cache a reference to its methods. The hooked appendBuffer is installed as an own property of the instance, which takes precedence over the prototype chain. There is no window for fermaw to cache the original. The hook is always first.