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综合多方信息来看,We implement the leader agent, which takes a high-level human goal and produces structured JSON output that decomposes it into 3–5 concrete subtasks, with worker role assignments and dependency chains. We build the full run_swarm pipeline that executes six phases: leader planning, infrastructure initialization, worker spawning, multi-round task execution with dependency resolution, leader synthesis of all results into a final report, and a Rich-powered dashboard display. We render a live kanban board and agent roster at the end, giving visibility into every task’s status, every agent’s contribution, and the synthesized final output, replicating ClawTeam’s board show monitoring experience.

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