Cost & Capacity Planning
What core factors increase costs for scaled production AI agent workloads?
The core cost drivers for scaled production AI agent workloads come from two primary operational layers: execution and model inference. Execution layer costs grow with resource utilization, retries, long-running waits, and additional concurrent agent instances, while model inference costs tie directly to total inference call volume and their inherent operational complexity. Note that durable execution does not equate to exactly-once delivery for external third-party model API requests.
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