编排者-工作者模式在质量、延迟和复杂性之间取得平衡
一个编排者智能体将特定规则的审查任务分发给并行子智能体——每个子智能体的作用类似于一名法律助理——并对结果进行协调，包括冲突解决。这在输出质量、系统延迟和工程复杂性之间取得了平衡。
支持这项说法
将 Playbook 审查重构为多智能体系统｜Harvey
我们通过单智能体原型验证了：质量类问题可借助智能体解决。通常，提升延迟表现的最优方式是任务并行化。基于这一思路，我们采用‘协调器-工作节点’架构：主智能体负责分发任务至多个并行运行的智能体；每个并行智能体专注审阅某一条规则；最终，主智能体整合各子任务结果，确保输出质量达标。
原始摘录
We proved with a single agent prototype that quality problems can be solved with an agent. Often the best way to improve on latency is to find ways to parallelize work. With that idea in mind, we implemented an orchestrator-worker pattern consisting of a lead agent in charge of distributing work between parallel agents. Each of these agents in turn focus on a specific task, in this case reviewing a rule, and finally the lead agent reconciles the results to ensure final output is of good quality.