Agentic Workflows Reveal Their Dependency Graph Only at Runtime — ASGE-RR Reserves Capacity for Calls That Haven't Happened Yet
ASGE-RR (arXiv 2608.06033, Aug 6) formalizes the network-control problem created by agent workflows: remote calls to models, memory stores, and tools form a service graph whose edges appear only during execution, so serving a visible call can starve a higher-value workflow later. The controller evaluates candidate replica-and-path mappings against predicted workflow continuations and revises reservations as execution reveals structure. Replaying OpenHands and GPT Researcher workflows executed with gpt-5.6-luna across a Docker testbed and a WAN testbed, every evaluated task exposed at least one runtime-revealed dependency call steerable before connection establishment, and ASGE-RR completed up to 10% more workflow value than rolling-horizon and current-call steering controllers on WAN.
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