📄 中文摘要
Martin Fowler 的团队去年发布了一个关于生成 AI 系统的模式目录，其中包含九种模式，基于真实的生产经验。然而，这些模式缺少一个关键的编排层。编排层在多模型系统中起着至关重要的作用，能够有效管理不同模型之间的交互与协调。为此，作者分享了自己构建的解决方案，旨在填补这一空白，通过引入编排层来提升生成 AI 系统的整体效率和灵活性。该解决方案不仅增强了系统的可扩展性，还优化了模型之间的协作，推动了生成 AI 的应用潜力。
Fowler 的 GenAI 模式缺少编排层——我构建的内容
📄 English Summary
Fowler's GenAI Patterns Are Missing the Orchestration Layer — Here's What I Built
Last year, Martin Fowler's team published a catalog of patterns for GenAI systems, featuring nine patterns based on real production experiences. However, these patterns lack a crucial orchestration layer, which plays a vital role in managing interactions and coordination among different models in multi-model systems. To address this gap, the author presents a solution they built, aimed at enhancing the overall efficiency and flexibility of GenAI systems by introducing an orchestration layer. This solution not only improves the scalability of the system but also optimizes collaboration between models, thereby advancing the application potential of generative AI.