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feat(q-dev): add Kiro AI Model ROI dashboard (#8795)
Add a Grafana dashboard analyzing per-model performance from chat logs: - Model Performance Summary table (requests, share%, avg prompt/response length, response/prompt ratio, steering/spec mode usage) - Daily Model Usage Distribution (stacked bar chart) - Avg Response Length by Model trend (output quality proxy) Data source: _tool_q_dev_chat_log grouped by model_id.
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grafana/dashboards/AIModelROI.json

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{
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"annotations": {
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"list": [
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{
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"builtIn": 1,
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"datasource": "-- Grafana --",
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"enable": true,
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"hide": true,
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"iconColor": "rgba(0, 211, 255, 1)",
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"name": "Annotations & Alerts",
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"type": "dashboard"
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}
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]
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},
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"editable": true,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 1,
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"id": null,
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"links": [],
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"panels": [
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{
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"datasource": "mysql",
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"description": "Requests, avg prompt/response length, and usage share per model",
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"fieldConfig": {
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"defaults": {
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"color": { "mode": "thresholds" },
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"custom": { "align": "auto", "cellOptions": { "type": "auto" }, "filterable": true },
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"thresholds": { "mode": "absolute", "steps": [{ "color": "green" }] }
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},
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"overrides": []
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},
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"gridPos": { "h": 8, "w": 24, "x": 0, "y": 0 },
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"id": 1,
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"options": { "cellHeight": "sm", "showHeader": true, "sortBy": [] },
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"targets": [
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{
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"datasource": "mysql",
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"format": "table",
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"rawQuery": true,
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"rawSql": "SELECT\n CASE WHEN model_id = '' OR model_id IS NULL THEN '(unknown)' ELSE model_id END AS 'Model',\n COUNT(*) AS 'Requests',\n ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM _tool_q_dev_chat_log WHERE $__timeFilter(timestamp)), 1) AS 'Share %',\n ROUND(AVG(prompt_length)) AS 'Avg Prompt Len',\n ROUND(AVG(response_length)) AS 'Avg Response Len',\n ROUND(AVG(response_length) / NULLIF(AVG(prompt_length), 0), 2) AS 'Response/Prompt Ratio',\n SUM(CASE WHEN has_steering = 1 THEN 1 ELSE 0 END) AS 'Steering Uses',\n SUM(CASE WHEN is_spec_mode = 1 THEN 1 ELSE 0 END) AS 'Spec Mode Uses'\nFROM _tool_q_dev_chat_log\nWHERE $__timeFilter(timestamp)\nGROUP BY model_id\nORDER BY COUNT(*) DESC",
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"refId": "A"
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}
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],
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"title": "Model Performance Summary",
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"type": "table"
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},
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{
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"datasource": "mysql",
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"description": "Request volume by model over time",
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"fieldConfig": {
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"defaults": {
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"color": { "mode": "palette-classic" },
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"custom": {
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"drawStyle": "bars", "fillOpacity": 80, "lineWidth": 1,
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"stacking": { "mode": "normal" }, "thresholdsStyle": { "mode": "off" }
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},
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"unit": "short"
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},
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"overrides": []
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},
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"gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 },
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"id": 2,
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"options": {
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"legend": { "calcs": ["sum"], "displayMode": "table", "placement": "right", "showLegend": true },
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"tooltip": { "mode": "multi" }
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},
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"targets": [
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{
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"datasource": "mysql",
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"format": "time_series",
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"rawQuery": true,
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"rawSql": "SELECT DATE(timestamp) AS time,\n CASE WHEN model_id = '' OR model_id IS NULL THEN '(unknown)' ELSE model_id END AS metric,\n COUNT(*) AS value\nFROM _tool_q_dev_chat_log\nWHERE $__timeFilter(timestamp)\nGROUP BY DATE(timestamp), model_id\nORDER BY time",
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"refId": "A"
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}
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],
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"title": "Daily Model Usage Distribution",
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"type": "timeseries"
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},
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{
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"datasource": "mysql",
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"description": "Average response length per model over time — proxy for output quality",
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"fieldConfig": {
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"defaults": {
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"color": { "mode": "palette-classic" },
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"custom": {
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"drawStyle": "line", "fillOpacity": 10, "lineInterpolation": "smooth", "lineWidth": 2,
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"showPoints": "never", "spanNulls": true,
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"stacking": { "mode": "none" }, "thresholdsStyle": { "mode": "off" }
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},
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"unit": "short"
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},
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"overrides": []
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},
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"gridPos": { "h": 8, "w": 24, "x": 0, "y": 16 },
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"id": 3,
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"options": {
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"legend": { "calcs": ["mean"], "displayMode": "table", "placement": "right", "showLegend": true },
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"tooltip": { "mode": "multi" }
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},
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"targets": [
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{
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"datasource": "mysql",
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"format": "time_series",
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"rawQuery": true,
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"rawSql": "SELECT DATE(timestamp) AS time,\n CASE WHEN model_id = '' OR model_id IS NULL THEN '(unknown)' ELSE model_id END AS metric,\n ROUND(AVG(response_length)) AS value\nFROM _tool_q_dev_chat_log\nWHERE $__timeFilter(timestamp)\nGROUP BY DATE(timestamp), model_id\nORDER BY time",
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"refId": "A"
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}
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],
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"title": "Avg Response Length by Model (Daily)",
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"type": "timeseries"
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}
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],
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"preload": false,
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"refresh": "5m",
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"schemaVersion": 41,
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"tags": ["q_dev", "kiro", "model", "roi"],
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"templating": { "list": [] },
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"time": { "from": "now-90d", "to": "now" },
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"timepicker": {},
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"timezone": "utc",
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"title": "Kiro AI Model ROI",
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"uid": "kiro_model_roi",
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"version": 1
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}

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