Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems
暫譯: 代理式人工智慧的系統思維：軟體架構師構建可靠 LLM 和代理系統的指南
Ediz Najim
商品描述
Build real AI agent systems, not fragile demos.
Systems Thinking for Agentic AI is a practical architecture book for software engineers, backend developers, technical leads, and architects who want to design production-ready applications with large language models.
LLMs are powerful, but an LLM alone is not a system. Real AI applications need prompts, retrieval, tools, memory, and orchestration working together with guardrails, evaluation, observability, and runtime control — all inside clear engineering boundaries.
This book explains how to move from simple chatbot experiments to reliable AI-enabled software systems. It focuses on the production realities that matter after the demo works: latency, cost, failure handling, tool execution, structured outputs, testing, tracing, safety controls, and maintainability.
商品描述(中文翻譯)
建立真正的 AI 代理系統，而非脆弱的示範。
《代理 AI 的系統思維》是一本針對軟體工程師、後端開發人員、技術負責人和架構師的實用架構書，旨在幫助他們設計可投入生產的應用程式，並使用大型語言模型（LLMs）。
大型語言模型非常強大，但僅有一個 LLM 並不是一個系統。真正的 AI 應用需要提示、檢索、工具、記憶和協調，並與安全邊界、評估、可觀察性和執行時控制一起運作，所有這些都必須在明確的工程邊界內進行。
本書解釋了如何從簡單的聊天機器人實驗轉變為可靠的 AI 驅動軟體系統。它專注於在示範成功後，實際生產中需要考慮的現實：延遲、成本、故障處理、工具執行、結構化輸出、測試、追蹤、安全控制和可維護性。
