"cartId": "cart_abc123",
杜耀豪有一个大他七岁、感情甚笃的姐姐，姐姐两岁便来到德国，比他更早融入这片土地。而母亲，那个总在提醒他“记住根”的女人，1981年到德国后，在鱼店工作了整整三十年。
，详情可参考heLLoword翻译官方下载
美國嚴厲打擊非法移民下，中國「走線」客正遭遇的抓捕與擔憂
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Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.，详情可参考谷歌浏览器【最新下载地址】
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.