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.
生成的实体类大致如下（已简化，关键部分）：，推荐阅读91视频获取更多信息
「商場可以讓狗進去，但是人又不可以在裏面吃東西，那你帶著牠們，究竟怎麼辦呢？」她強調自己不會把狗丟在餐廳門外。。业内人士推荐搜狗输入法2026作为进阶阅读
第二条 在中华人民共和国境内开展网络犯罪防治及其监督管理，适用本法。，详情可参考同城约会