OpenClaw agent pools and concurrency controls for reliable workflows

An agent pool is a managed set of workers that execute tasks from a queue. Pools let you scale throughput up or down without changing your workflow code, while applying consistent limits for safety and reliability.

Concurrency controls cap the number of simultaneous calls against an external system. By pacing requests and batching where appropriate, they reduce bursts that trigger HTTP 429 responses and improve overall success rates.

Increase pool size when tasks are CPU bound or wait on fast dependencies and you need more workers. Increase queue depth when upstream producers outpace consumers temporarily but you expect downstream capacity to recover soon.

Yes. In typical configurations you define global pool limits and stricter per-connector caps for fragile APIs. This isolates a single integration from exhausting capacity and keeps other parts of the workflow responsive.

Track queue latency, task age, and worker heartbeat metrics. Alerts on rising wait times or missing heartbeats help you spot contention, deadlocks, or resource exhaustion so you can add capacity or remediate failing dependencies.