ai-usage.json

{
  "uid": "loopover-ai-usage",
  "title": "LoopOver - AI usage",
  "tags": ["loopover", "ai"],
  "timezone": "browser",
  "schemaVersion": 39,
  "version": 1,
  "refresh": "30s",
  "time": { "from": "now-7d", "to": "now" },
  "description": "Consolidated AI-usage dashboard (replaces the old Claude/Codex/ORB AI-usage dashboards, and the AI-cost/token panels formerly in the infra dashboard). Two structurally different sources, kept in clearly separate sections: (1) the durable, cross-provider ai_usage_events log (migration 0109) — every configured provider (Ollama, Claude Code, Codex, OpenAI-compatible, Anthropic BYOK) and every AI feature (ai_review_pr, ai_slop_pr, embeddings, visual_vision, screenshot_table_vision, agent_private_summary, agent_public_summary, pr_intelligence_comment, linked_issue_satisfaction, issue_plan, unlinked_issue_verify, chat_qa, intent_routing, ai_key_change), filterable by $provider/$feature/$model and repo/PR-attributable; (2) Claude Code's own OTEL session telemetry, a separate non-durable data source with no repo/PR attribution that cannot be joined to (1) — kept in its own section rather than force-merged. A row of live Prometheus counters sits between them for real-time signal the durable log can lag behind (it's written after a call completes).",
  "templating": {
    "list": [
      {
        "name": "provider",
        "label": "Provider",
        "type": "query",
        "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
        "query": { "refId": "A", "queryType": "table", "queryText": "SELECT DISTINCT provider FROM ai_usage_events WHERE provider IS NOT NULL ORDER BY provider", "rawQueryText": "SELECT DISTINCT provider FROM ai_usage_events WHERE provider IS NOT NULL ORDER BY provider" },
        "includeAll": true,
        "allValue": "__ALL__",
        "multi": false,
        "current": { "text": "All", "value": "__ALL__" },
        "refresh": 2,
        "sort": 1
      },
      {
        "name": "feature",
        "label": "Feature",
        "type": "query",
        "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
        "query": { "refId": "A", "queryType": "table", "queryText": "SELECT DISTINCT feature FROM ai_usage_events ORDER BY feature", "rawQueryText": "SELECT DISTINCT feature FROM ai_usage_events ORDER BY feature" },
        "includeAll": true,
        "allValue": "__ALL__",
        "multi": false,
        "current": { "text": "All", "value": "__ALL__" },
        "refresh": 2,
        "sort": 1
      },
      {
        "name": "model",
        "label": "Model",
        "type": "query",
        "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
        "query": {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT DISTINCT model FROM ai_usage_events WHERE (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) ORDER BY model",
          "rawQueryText": "SELECT DISTINCT model FROM ai_usage_events WHERE (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) ORDER BY model"
        },
        "includeAll": true,
        "allValue": "__ALL__",
        "multi": false,
        "current": { "text": "All", "value": "__ALL__" },
        "refresh": 2,
        "sort": 1,
        "description": "Narrows to the selected Provider's own models (e.g. Ollama's separate bge-m3/qwen3-vl/qwen3 use cases)."
      },
      {
        "name": "claudeModel",
        "label": "Claude Model (OTEL)",
        "type": "query",
        "datasource": { "type": "prometheus", "uid": "prometheus" },
        "definition": "label_values(claude_code_cost_usage_USD_total, model)",
        "query": { "query": "label_values(claude_code_cost_usage_USD_total, model)", "refId": "A" },
        "includeAll": true,
        "multi": true,
        "allValue": ".*",
        "current": { "text": "All", "value": "__ALL__" },
        "refresh": 2,
        "description": "Only scopes the separate 'Claude Code native OTEL telemetry' section below — unrelated to Provider/Feature/Model above, which scope the durable ai_usage_events log."
      }
    ]
  },
  "annotations": { "list": [] },
  "links": [
    {
      "title": "Miner usage (AMS)",
      "type": "link",
      "url": "/d/loopover-miner-usage/loopover-miner-usage",
      "icon": "external link",
      "targetBlank": false,
      "tooltip": "AMS's own coding-agent usage dashboard -- a separate local CLI (loopover-miner) from every provider above, tracked on its own dashboard since it's a structurally different local-SQLite source, not another row in ai_usage_events."
    }
  ],
  "panels": [
    {
      "id": 1,
      "type": "row",
      "title": "Summary (durable log, filtered)",
      "gridPos": { "h": 1, "w": 24, "x": 0, "y": 0 }
    },
    {
      "id": 2,
      "type": "stat",
      "title": "Total AI events",
      "description": "Every ai_usage_events row with a non-null provider (i.e. a real, attributed AI call) in the selected time range, filtered by Provider/Feature/Model.",
      "gridPos": { "h": 5, "w": 6, "x": 0, "y": 1 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "short", "color": { "mode": "fixed", "fixedColor": "blue" } } },
      "options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "none", "justifyMode": "center" },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT count(*) AS events FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}",
          "rawQueryText": "SELECT count(*) AS events FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}"
        }
      ]
    },
    {
      "id": 3,
      "type": "stat",
      "title": "Total tokens",
      "gridPos": { "h": 5, "w": 6, "x": 6, "y": 1 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "short", "color": { "mode": "fixed", "fixedColor": "purple" } } },
      "options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "none", "justifyMode": "center" },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT coalesce(sum(total_tokens), 0) AS total_tokens FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}",
          "rawQueryText": "SELECT coalesce(sum(total_tokens), 0) AS total_tokens FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}"
        }
      ]
    },
    {
      "id": 4,
      "type": "stat",
      "title": "Total cost",
      "gridPos": { "h": 5, "w": 6, "x": 12, "y": 1 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "currencyUSD", "decimals": 4, "color": { "mode": "fixed", "fixedColor": "green" } } },
      "options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "none", "justifyMode": "center" },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}",
          "rawQueryText": "SELECT coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}"
        }
      ]
    },
    {
      "id": 5,
      "type": "stat",
      "title": "Events missing real usage",
      "description": "Completed AI calls (status='ok') with no real usage captured (no provider attribution, or every numeric field still at its zero default). Only scoped by Feature + time range — not by Provider/Model, since a NULL provider is exactly the kind of row this panel exists to surface, and filtering it out by provider would hide the very rows it's meant to catch. Excludes quota_exceeded/disabled/unavailable (no call was attempted) and ai_key_change (not an AI call).",
      "gridPos": { "h": 5, "w": 6, "x": 18, "y": 1 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "short", "color": { "mode": "fixed", "fixedColor": "orange" } } },
      "options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "none", "justifyMode": "center" },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT count(*) AS unattributed FROM ai_usage_events WHERE status = 'ok' AND feature <> 'ai_key_change' AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (provider IS NULL OR (input_tokens = 0 AND output_tokens = 0 AND total_tokens = 0 AND cost_usd = 0)) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}",
          "rawQueryText": "SELECT count(*) AS unattributed FROM ai_usage_events WHERE status = 'ok' AND feature <> 'ai_key_change' AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (provider IS NULL OR (input_tokens = 0 AND output_tokens = 0 AND total_tokens = 0 AND cost_usd = 0)) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds}"
        }
      ]
    },
    {
      "id": 6,
      "type": "row",
      "title": "Usage by category (what's using the most, and is anything spiking)",
      "gridPos": { "h": 1, "w": 24, "x": 0, "y": 6 }
    },
    {
      "id": 7,
      "type": "timeseries",
      "title": "Tokens by feature, over time",
      "description": "Stacked daily token totals per feature within the selected Provider/Model filter — a spike in one feature's stack is the signal to investigate.",
      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 7 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "short", "custom": { "drawStyle": "bars", "fillOpacity": 70, "lineWidth": 1, "stacking": { "mode": "normal" } } } },
      "options": { "legend": { "showLegend": true, "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } },
      "targets": [
        {
          "refId": "A",
          "queryType": "time series",
          "timeColumns": ["time"],
          "metricColumn": "feature",
          "queryText": "SELECT unixepoch(date(created_at)) * 1000 AS time, feature, coalesce(sum(total_tokens), 0) AS tokens FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY date(created_at), feature ORDER BY time",
          "rawQueryText": "SELECT unixepoch(date(created_at)) * 1000 AS time, feature, coalesce(sum(total_tokens), 0) AS tokens FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY date(created_at), feature ORDER BY time"
        }
      ]
    },
    {
      "id": 8,
      "type": "piechart",
      "title": "Cost share by feature",
      "gridPos": { "h": 8, "w": 6, "x": 12, "y": 7 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "currencyUSD" } },
      "options": { "pieType": "donut", "legend": { "showLegend": true, "placement": "right", "values": ["percent", "value"] }, "reduceOptions": { "calcs": ["lastNotNull"] }, "displayLabels": ["percent"] },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT feature, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY feature ORDER BY cost_usd DESC",
          "rawQueryText": "SELECT feature, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY feature ORDER BY cost_usd DESC"
        }
      ]
    },
    {
      "id": 9,
      "type": "piechart",
      "title": "Events by provider",
      "gridPos": { "h": 8, "w": 6, "x": 18, "y": 7 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "fieldConfig": { "defaults": { "unit": "short" } },
      "options": { "pieType": "donut", "legend": { "showLegend": true, "placement": "right", "values": ["percent", "value"] }, "reduceOptions": { "calcs": ["lastNotNull"] }, "displayLabels": ["percent"] },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT provider, count(*) AS events FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY provider ORDER BY events DESC",
          "rawQueryText": "SELECT provider, count(*) AS events FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY provider ORDER BY events DESC"
        }
      ]
    },
    {
      "id": 10,
      "type": "table",
      "title": "Usage by provider + model + effort",
      "gridPos": { "h": 8, "w": 24, "x": 0, "y": 15 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "options": { "showHeader": true, "cellHeight": "sm", "sortBy": [{ "displayName": "events", "desc": true }] },
      "fieldConfig": { "defaults": { "custom": { "filterable": true } } },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT provider, model, effort, count(*) AS events, coalesce(sum(total_tokens), 0) AS total_tokens, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY provider, model, effort ORDER BY events DESC LIMIT 50",
          "rawQueryText": "SELECT provider, model, effort, count(*) AS events, coalesce(sum(total_tokens), 0) AS total_tokens, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY provider, model, effort ORDER BY events DESC LIMIT 50"
        }
      ]
    },
    {
      "id": 11,
      "type": "row",
      "title": "By repo / PR",
      "gridPos": { "h": 1, "w": 24, "x": 0, "y": 23 }
    },
    {
      "id": 12,
      "type": "table",
      "title": "Top repos by AI usage",
      "gridPos": { "h": 10, "w": 12, "x": 0, "y": 24 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "options": { "showHeader": true, "cellHeight": "sm", "sortBy": [{ "displayName": "events", "desc": true }] },
      "fieldConfig": { "defaults": { "custom": { "filterable": true } } },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT json_extract(metadata_json, '$.repoFullName') AS repo, provider, count(*) AS events, coalesce(sum(total_tokens), 0) AS total_tokens, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND json_extract(metadata_json, '$.repoFullName') IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY repo, provider ORDER BY events DESC LIMIT 50",
          "rawQueryText": "SELECT json_extract(metadata_json, '$.repoFullName') AS repo, provider, count(*) AS events, coalesce(sum(total_tokens), 0) AS total_tokens, coalesce(sum(cost_usd), 0) AS cost_usd FROM ai_usage_events WHERE provider IS NOT NULL AND json_extract(metadata_json, '$.repoFullName') IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} GROUP BY repo, provider ORDER BY events DESC LIMIT 50"
        }
      ]
    },
    {
      "id": 13,
      "type": "table",
      "title": "Recent AI events",
      "gridPos": { "h": 10, "w": 12, "x": 12, "y": 24 },
      "datasource": { "type": "frser-sqlite-datasource", "uid": "loopover-db" },
      "options": { "showHeader": true, "cellHeight": "sm", "sortBy": [{ "displayName": "created_at", "desc": true }] },
      "fieldConfig": { "defaults": { "custom": { "filterable": true } } },
      "targets": [
        {
          "refId": "A",
          "queryType": "table",
          "queryText": "SELECT created_at, feature, provider, model, effort, status, input_tokens, output_tokens, total_tokens, cost_usd, json_extract(metadata_json, '$.repoFullName') AS repo, json_extract(metadata_json, '$.pullNumber') AS pr FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} ORDER BY created_at DESC LIMIT 100",
          "rawQueryText": "SELECT created_at, feature, provider, model, effort, status, input_tokens, output_tokens, total_tokens, cost_usd, json_extract(metadata_json, '$.repoFullName') AS repo, json_extract(metadata_json, '$.pullNumber') AS pr FROM ai_usage_events WHERE provider IS NOT NULL AND (${provider:sqlstring} = '__ALL__' OR provider = ${provider:sqlstring}) AND (${feature:sqlstring} = '__ALL__' OR feature = ${feature:sqlstring}) AND (${model:sqlstring} = '__ALL__' OR model = ${model:sqlstring}) AND unixepoch(created_at) >= ${__from:date:seconds} AND unixepoch(created_at) < ${__to:date:seconds} ORDER BY created_at DESC LIMIT 100"
        }
      ]
    },
    {
      "id": 14,
      "type": "row",
      "title": "Live Prometheus counters (all providers, real-time — the durable log above is written after a call completes)",
      "gridPos": { "h": 1, "w": 24, "x": 0, "y": 34 }
    },
    {
      "id": 15,
      "type": "timeseries",
      "title": "Cumulative AI cost (USD) by provider",
      "description": "loopover's own monotonic cost counter (loopover_ai_cost_usd_total) — continuously scraped, so it draws a clean cumulative line. Resets to 0 on a stack restart.",
      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 35 },
      "datasource": { "type": "prometheus", "uid": "prometheus" },
      "fieldConfig": { "defaults": { "unit": "currencyUSD", "color": { "mode": "palette-classic" }, "custom": { "lineWidth": 2, "fillOpacity": 10 } } },
      "options": { "legend": { "showLegend": true, "placement": "bottom" }, "tooltip": { "mode": "multi" } },
      "targets": [{ "refId": "A", "expr": "sum by (provider) ((loopover_ai_cost_usd_total or gittensory_ai_cost_usd_total)) or vector(0)", "legendFormat": "{{provider}}" }]
    },
    {
      "id": 16,
      "type": "timeseries",
      "title": "Tokens/min by provider",
      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 35 },
      "datasource": { "type": "prometheus", "uid": "prometheus" },
      "fieldConfig": { "defaults": { "unit": "short", "color": { "mode": "palette-classic" }, "custom": { "lineWidth": 2, "fillOpacity": 10 } } },
      "options": { "legend": { "showLegend": true, "placement": "bottom" }, "tooltip": { "mode": "multi" } },
      "targets": [
        {
          "refId": "A",
          "expr": "sum by (provider) (((rate(loopover_ai_input_tokens_total[5m]) or rate(gittensory_ai_input_tokens_total[5m])) + (rate(loopover_ai_output_tokens_total[5m]) or rate(gittensory_ai_output_tokens_total[5m]))) * 60)",
          "legendFormat": "{{provider}}"
        }
      ]
    },
    {
      "id": 17,
      "type": "timeseries",
      "title": "AI requests + fallbacks (last 1h)",
      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 43 },
      "datasource": { "type": "prometheus", "uid": "prometheus" },
      "fieldConfig": { "defaults": { "unit": "short", "color": { "mode": "palette-classic" }, "custom": { "lineWidth": 2, "fillOpacity": 10 } } },
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      "id": 19,
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      "title": "Codex CLI attempts by model and effort",
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    },
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}