Orchestration Layer Significantly Cuts Agent Costs
dair_ai · x · 2026-07-09
This content introduces research on the "harness effect": across 22 benchmark tasks and 6 foundation models, changing only the orchestration layer while keeping the model unchanged reduced overall per-task costs by 41%, token usage by 38%, and median execution time by 44%, with completion quality remaining mostly flat.
The author highlights that these efficiency gains stem primarily from the orchestration layer and hold true across different models, whereas quality improvements correlate highly with the base model's strength. The text also notes that for this workload, the cost variance introduced by the orchestration layer even exceeds the differences among the models themselves.
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