Estimate the latency-based requirements of a multi-agent workflow using workload assumptions you control. This calculator turns operational inputs into a clear primary estimate plus supporting capacity and planning metrics. Use it for early architecture comparisons, budget reviews, or scenario checks, then replace the defaults with measurements from your own traces and provider terms before making production commitments.
Capacity converts observed latency and concurrency into a planning volume for a chosen time window. It assumes work is continuously available and evenly distributed.
Queueing, cold starts, rate limits, uneven task sizes, and downstream tools can reduce realized capacity. Use a utilization target below 100% to preserve headroom.
With 4 workers, concurrency 2, 12-second latency, a 60-minute window, and 75% utilization:
Include queue time in average end-to-end latency if it is part of the observed completion time.
Concurrency sets simultaneous work; utilization reserves operational headroom within that theoretical capacity.
Yes. Using p95 produces a more conservative capacity estimate for slower requests.
Only when rate limits, shared services, and queues do not become bottlenecks.
Use a shorter planning window and latency measured under the expected burst load.
| Variable | Role |
|---|---|
| Workers | Independent processing replicas |
| Concurrency | Simultaneous work per replica |
| Latency | Seconds per completed task or workflow |
| Utilization | Fraction of theoretical capacity planned |