I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
2月27日上午消息，魅族今日发布声明称，网上关于魅族公司 “破产重组，业务停摆，手机退市” 等为谣言和不实报道，将坚决追究造谣及传谣者的法律责任。
，详情可参考谷歌浏览器【最新下载地址】
The API recognizes that synchronous data sources are both necessary and common. The application should not be forced to always accept the performance cost of asynchronous scheduling simply because that's the only option provided. At the same time, mixing sync and async processing can be dangerous. Synchronous paths should always be an option and should always be explicit.
Also Read: Top 10 AI Content Generator & Writer Tools in 2022
依照前款规定由一名人民警察进行询问、扣押、辨认、调解的，应当全程同步录音录像。未按规定全程同步录音录像或者录音录像资料损毁、丢失的，相关证据不能作为处罚的根据。