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          "index": 1,
          "role": "agent",
          "agent_id": "ai:alice",
          "container": "a2a-node-1",
          "private_ip": "10.88.1.11",
          "public_ip": "n/a (container)"
        },
        {
          "index": 2,
          "role": "agent",
          "agent_id": "ai:bob",
          "container": "a2a-node-2",
          "private_ip": "10.88.1.12",
          "public_ip": "n/a (container)"
        },
        {
          "index": 3,
          "role": "agent",
          "agent_id": "ai:charlie",
          "container": "a2a-node-3",
          "private_ip": "10.88.1.13",
          "public_ip": "n/a (container)"
        },
        {
          "index": 4,
          "role": "memory-only",
          "container": "a2a-node-4",
          "private_ip": "10.88.1.14",
          "public_ip": "n/a (container)"
        }
      ],
      "region": "local-docker",
      "droplet_size": "n/a (container mem_limit=16g per openclaw agent; 4g for aggregator)",
      "topology": "4-node Docker bridge network (10.88.1.0/24) \u2014 3 openclaw agent containers + 1 memory-only aggregator"
    },
    "scenarios_requested": [
      "1",
      "10",
      "11",
      "12",
      "13",
      "14",
      "15",
      "16",
      "17",
      "18",
      "1b",
      "2",
      "22",
      "23",
      "24",
      "25",
      "28",
      "29",
      "30",
      "31",
      "32",
      "33",
      "34",
      "35",
      "36",
      "37",
      "38",
      "39",
      "4",
      "40",
      "41",
      "42",
      "5",
      "6",
      "9"
    ],
    "timing": {
      "start": "2026-04-24T13:39:21Z",
      "end": "2026-04-24T13:49:17Z",
      "started_at": "2026-04-24T13:39:21Z",
      "ended_at": "2026-04-24T13:49:17Z"
    },
    "ci": {
      "runner": "local-docker",
      "operator": "AI NHI (Claude Opus 4.7)"
    },
    "notes": "Tested on a local Docker mesh (3 openclaw agents + 1 memory-only aggregator on a single workstation). NOT a DigitalOcean campaign \u2014 no DO infrastructure was provisioned. See docs/local-docker-mesh.md for full reproducibility. Every byte of config, build recipe, harness, and scenario is committed in this repo."
  }
}