實務中的代理迴圈:ReAct、工具與失敗模式
多數關於 agent 的工程討論,太早亮出 agent 這個詞,卻太晚才談運營迴圈。其實實務上真正重要的設計問題很簡單:模型一旦能執行不止一步,系統怎麼決定下一步做什麼?能呼叫哪些工具?可以從結果推斷什麼?又該在何時停下來?
The spectrum from fixed pipelines to autonomous agents. Covers assistant design, workflow automation, agent loops, tool contracts, the ReAct pattern, failure modes, approval boundaries, and how to choose the right level of autonomy for your use case.
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多數關於 agent 的工程討論,太早亮出 agent 這個詞,卻太晚才談運營迴圈。其實實務上真正重要的設計問題很簡單:模型一旦能執行不止一步,系統怎麼決定下一步做什麼?能呼叫哪些工具?可以從結果推斷什麼?又該在何時停下來?
Most engineering discussions about agents start too early with the word agent and too late with the operational loop. In practice, the important design question is simpler: once a model can take more than one step, how does the system decide what to do next, what tools it may call, what it is all...
Agent(代理)已經成為 AI 中最被濫用的術語之一。產品團隊拿它來形容各種東西——從帶有檢索功能的聊天介面,到可以自行規劃、呼叫工具和採取行動的長時間執行程式,通通都算。這種詞彙漂移會造成實際問題:真正的設計問題明明是架構性的,團隊卻在爭論標籤。
Agent has become one of the most overloaded terms in AI. Product teams use it to describe everything from a chat interface with retrieval to a long-running process that can plan, call tools, and take actions on its own. That vocabulary drift creates a practical problem: teams start arguing about ...