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The author shares a strategy for reducing costs in multi-model agent loops by using a cheap fast executor for repetitive nodes and a strong planner for high-level reasoning, with experience using Ling-3.0-flash on OpenRouter.
This paper introduces a five-condition controlled contrast design to disentangle the effects of operational reframing, planner behavior, and approval-framed delegation in multi-agent LLM safety evaluations, showing that aggregate pipeline safety measures are not interpretable as stable architectural properties.