Sequential agent chains are a latency tax — the event-driven pattern that makes independent agents run in parallel

说明与用途

将五个独立的代理工作流从顺序链式结构改为事件驱动架构，消除了不必要的串行化，显著降低了总时延并提升了可观测性，但也增加了运维复杂度。

问题

A multi‑agent pipeline built as a linear chain caused unnecessary serialisation, inflating wall‑clock time by up to five times.

结果

By shifting from a sequential chain to event‑driven concurrency, the author eliminated unnecessary serialisation, reduced latency, and gained visibility into back‑pressure and ordering, while accepting increased operational complexity.

工作流

• 1. Researcher fetches multiple sources independently.
• 2. Analyst performs separate analyses on fetched data.
• 3. Writer compiles final output once all upstream data is available.
• 4. Fact‑checker verifies claims independently of earlier stages.
• 5. Formatter formats the final document. In the new design, each agent subscribes to the specific events it needs and processes them as soon as they arrive.

证据

I once watched a nine-minute agent workflow spend seven minutes and forty seconds doing nothing.

来源

The math is unforgiving. If you have N stages with average latency L, your wall-clock time is N × L. If K of those stages are independent, the floor is (N − K) × L + L, not N × L.

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In a sequential chain, work starts because the previous step finished. In an event-driven architecture, work starts because the data it needs has arrived.

来源

Cisco's CAIPE runs multi-agent orchestration across Argo CD, Kubernetes, and Komodor, where agents chain across tools and respond to cluster events rather than polling in sequence. Their reported outcome: response times dropped from hours to seconds, with MTTR reduced by up to 80%.

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