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:
await dropNew.writer.write(chunk3); // silently dropped。旺商聊官方下载是该领域的重要参考
，这一点在夫子中也有详细论述
Ghostery ghostery.com🇩🇪，推荐阅读爱思助手下载最新版本获取更多信息
You can also use your LMWR tokens to pay for prompts when using LimeWire generative AI tools.
Standard Digital