Abstract
In multi-agent systems, such as those organized as directed acyclic graphs, cold-start initialization latency at transitions between agent nodes can create performance bottlenecks. This delay can occur when a system waits for an upstream agent to complete its task before preparing resources for the subsequent downstream agent. The described systems and techniques can address this by implementing speculative resource pre-warming. A system can monitor the partial output of an active upstream agent to extract a routing fingerprint and predict the likely next agent in the workflow. Based on this prediction, computational resources for the downstream agent, such as models and contextual data, can be proactively prepared in parallel with the current agent's execution. This approach may reduce initialization latency at agent handoffs, thereby improving the overall execution efficiency of distributed workflows.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Joshi, Sarita A. and Nigam, Lavi, "Speculative Resource Pre-Warming Based on Partial Agent Output", Technical Disclosure Commons, (August 26, 2026)
https://www.tdcommons.org/dpubs_series/11496