OpenClaw fans one question across sub-agents

The short version: batching helps the server handle more requests efficiently, but it does not magically make one answer faster by itself.

• –Continuous batching is a serving trick, not a reasoning trick.
• –You can absolutely run one orchestrator plus several child agents in parallel if your agent framework supports concurrent calls.
• –The speedup only happens when the sub-tasks are truly independent, like research, fact-checking, summarizing, or trying different approaches.
• –If every sub-agent hits the same model on the same GPU, you may increase throughput but not reduce wall-clock time much.
• –OpenClaw could do this if it supports spawning child agents or parallel jobs and if the model server exposes concurrent requests through vLLM or a similar backend.
• –The practical setup is: one controller agent, a queue of sub-tasks, async parallel model calls, then one final merge step.