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How do retries and long waits change agent workload spend patterns?

Retry logic and long waits shift agent workload spend patterns in predictable, measurable, consistent ways. Each retry adds duplicate execution cycles, associated model API calls, and incidental operational overhead, while prolonged waits extend the total duration that active execution state is held, tracked, monitored and managed across the agent’s runtime environment. Unoptimized retry policies can multiply operational load far beyond baseline agent activity without targeted, intentional tuning or guardrails.

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