{
  "name": "iterative-replan",
  "description": "Data-dependent iterative replanning: a loop where each iteration's plan depends on the PREVIOUS iteration's RESULT (not a one-shot fan-out). Each round the planner reads the prior round's findings and decides either to emit more work or to signal done. This is the declarative equivalent of an imperative `for` loop that reads a result and decides the next step. Each round's generated plan is validated before it runs.",
  "version": 1,
  "args": {
    "goal": { "description": "The investigation / refinement objective" }
  },
  "concurrency": 4,
  "agentScope": "user",
  "budget": { "maxUSD": 2.0 },
  "phases": [
    {
      "id": "investigate",
      "type": "loop",
      "agent": "explorer",
      "maxIterations": 5,
      "until": "{steps.investigate.json.done} == true",
      "output": "json",
      "task": "Goal: {args.goal}\n\nPrevious round's result (empty on the first round):\n{previous.output}\n\nDecide the next step. If the goal is satisfied, output ONLY {\"done\": true, \"summary\": \"<what you concluded>\"}. Otherwise output ONLY {\"done\": false, \"findings\": \"<what you learned this round>\", \"next\": \"<what to investigate next round>\"}. Each round's plan must build on the previous round's findings. JSON only — no prose."
    },
    {
      "id": "final-report",
      "type": "agent",
      "agent": "reviewer",
      "dependsOn": ["investigate"],
      "task": "Write the final report for goal \"{args.goal}\" based on the converged investigation:\n\n{steps.investigate.output}",
      "final": true
    }
  ]
}