Running 50-100 Agents, Dev Weighs Local Decision Models to Cut Latency
f1yingbanana · reddit · 2026-11-08
A developer running a 50-100 agent sandbox simulation on OpenClaw uses a decision model to filter which agents need to respond, cutting LLM calls. Current API round-trips take 0.5-2s, and they're weighing small locally hosted models for faster decisions — wondering about GPU requirements and whether these tiny models can run on CPU.
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