When adapting to a ReadableStream, a bit more work is required since the alternative approach yields batches of chunks, but the adaptation layer is as easily straightforward:
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.，更多细节参见旺商聊官方下载
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Thomas Clements’ eyes begin dancing as he recalls in vivid detail his first trip to Highbury. It was 1995 and Ian Wright was among the scorers as QPR were defeated. Clements – named after Michael Thomas, scorer of Arsenal’s decisive second goal against Liverpool in their 1989 title decider – points to his dad, Kevin, standing a metre away. “I was sat on his shoulders in the North Bank,” he says.