src/grafana/dashboards/agent-performance.json - main - AlexandrNarbaev/opencode_initializer

src/grafana/dashboards/agent-performance.json

71 строка3 KB

Alexandr Narbaev

feat: 100% requirements compliance — GUI, model routing, corporate proxy, cost analytics, docs

03 июл 2026, 15:43

03 июл 2026, 15:435299c63

{
  "annotations": { "list": [] },
  "title": "OpenCode Agent Performance & Token Usage",
  "uid": "opencode-tokens",
  "schemaVersion": 39,
  "version": 1,
  "panels": [
    {
      "id": 1,
      "title": "Total Token Usage (24h)",
      "type": "stat",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 4, "w": 8, "x": 0, "y": 0 },
      "targets": [{ "expr": "sum(increase(opencode_tokens_total[24h]))", "refId": "A" }],
      "fieldConfig": { "defaults": { "title": "Tokens (24h)", "unit": "short" } }
    },
    {
      "id": 2,
      "title": "Estimated Cost (24h)",
      "type": "stat",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 4, "w": 8, "x": 8, "y": 0 },
      "targets": [{ "expr": "sum(increase(opencode_cost_usd_total[24h]))", "refId": "A" }],
      "fieldConfig": { "defaults": { "title": "Cost (24h)", "unit": "currencyUSD" } }
    },
    {
      "id": 3,
      "title": "Active Sessions",
      "type": "stat",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 4, "w": 8, "x": 16, "y": 0 },
      "targets": [{ "expr": "opencode_active_sessions", "refId": "A" }],
      "fieldConfig": { "defaults": { "title": "Active Sessions" } }
    },
    {
      "id": 4,
      "title": "Token Usage by Model",
      "type": "piechart",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 4 },
      "targets": [{ "expr": "sum by(model) (opencode_tokens_total)", "legend": "{{model}}", "refId": "A" }]
    },
    {
      "id": 5,
      "title": "Cost by Provider",
      "type": "bargauge",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 4 },
      "targets": [{ "expr": "sum by(provider) (opencode_cost_usd_total)", "legend": "{{provider}}", "refId": "A" }]
    },
    {
      "id": 6,
      "title": "Token Usage Over Time",
      "type": "timeseries",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 8, "w": 24, "x": 0, "y": 12 },
      "targets": [{ "expr": "rate(opencode_tokens_total[5m])", "legend": "{{model}}", "refId": "A" }],
      "fieldConfig": { "defaults": { "unit": "short" } }
    },
    {
      "id": 7,
      "title": "Model Success Rate",
      "type": "table",
      "datasource": { "type": "prometheus", "uid": "Prometheus" },
      "gridPos": { "h": 8, "w": 24, "x": 0, "y": 20 },
      "targets": [{ "expr": "opencode_model_success_rate", "format": "table", "refId": "A" }]
    }
  ],
  "time": { "from": "now-24h", "to": "now" },
  "refresh": "30s"
}