Cost & Capacity Planning
What core factors drive higher costs as my agent workload volume scales?
The core cost drivers for scaling agent workloads as their volume increases are execution cycle volume, model inference calls, and retry overhead. Each individual agent run, repeated inference requests, and failed retry loops boost total operational spend, as each consumes separate underlying compute resources and dedicated model resources specific to individual workload executions. Durable execution’s simple built-in retry logic does not create redundant work within its clearly defined failure boundaries.
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