{
  "title": "Pentest Swarm AI — Swarm Overview",
  "description": "Live view of a running swarm campaign. Data source = Loki (for structured scheduler + blackboard logs) or Prometheus (for scraped metrics). Panels read the swarm's structured JSON log fields emitted by internal/swarm/scheduler.go and internal/swarm/blackboard/logging.go.",
  "tags": ["pentest-swarm-ai", "security", "swarm"],
  "schemaVersion": 39,
  "version": 1,
  "refresh": "5s",
  "time": {
    "from": "now-15m",
    "to": "now"
  },
  "panels": [
    {
      "type": "stat",
      "title": "Findings written / minute",
      "gridPos": {"x": 0, "y": 0, "w": 6, "h": 4},
      "targets": [
        {
          "expr": "sum(rate({subsystem=\"blackboard\"} | json | event = \"blackboard.write\" [1m]))",
          "refId": "A"
        }
      ]
    },
    {
      "type": "stat",
      "title": "Active agents",
      "gridPos": {"x": 6, "y": 0, "w": 6, "h": 4},
      "targets": [
        {
          "expr": "count by(agent) ({subsystem=\"scheduler\"} | json | event = \"agent_started\")",
          "refId": "A"
        }
      ]
    },
    {
      "type": "stat",
      "title": "Budget exceeded events",
      "gridPos": {"x": 12, "y": 0, "w": 6, "h": 4},
      "targets": [
        {
          "expr": "sum(count_over_time({subsystem=\"scheduler\"} | json | event = \"budget_exceeded\" [1h]))",
          "refId": "A"
        }
      ]
    },
    {
      "type": "stat",
      "title": "Agent errors / 5m",
      "gridPos": {"x": 18, "y": 0, "w": 6, "h": 4},
      "targets": [
        {
          "expr": "sum(count_over_time({subsystem=\"scheduler\"} | json | event = \"agent_error\" [5m]))",
          "refId": "A"
        }
      ]
    },
    {
      "type": "timeseries",
      "title": "Findings by type (stacked)",
      "description": "Pheromone heatmap surrogate: shows which finding types the swarm is producing most. High recon volume early, classifier mid, exploit late is the healthy shape.",
      "gridPos": {"x": 0, "y": 4, "w": 24, "h": 10},
      "targets": [
        {
          "expr": "sum by(type) (rate({subsystem=\"blackboard\"} | json | event = \"blackboard.write\" [1m]))",
          "refId": "A",
          "legendFormat": "{{type}}"
        }
      ]
    },
    {
      "type": "timeseries",
      "title": "Agent handle latency (p50 / p95)",
      "gridPos": {"x": 0, "y": 14, "w": 12, "h": 8},
      "targets": [
        {
          "expr": "histogram_quantile(0.50, sum by(agent, le) (rate(swarm_agent_handle_duration_seconds_bucket[1m])))",
          "refId": "A",
          "legendFormat": "p50 {{agent}}"
        },
        {
          "expr": "histogram_quantile(0.95, sum by(agent, le) (rate(swarm_agent_handle_duration_seconds_bucket[1m])))",
          "refId": "B",
          "legendFormat": "p95 {{agent}}"
        }
      ]
    },
    {
      "type": "table",
      "title": "Budget status per campaign",
      "gridPos": {"x": 12, "y": 14, "w": 12, "h": 8},
      "targets": [
        {
          "expr": "swarm_campaign_tokens_used / swarm_campaign_tokens_max",
          "refId": "A",
          "format": "table"
        }
      ]
    }
  ]
}