{ "annotations": { "list": [ { "builtIn": 1, "datasource": { "type": "grafana", "uid": "-- Grafana --" }, "enable": true, "hide": true, "iconColor": "rgba(0, 211, 255, 1)", "name": "Annotations & Alerts", "type": "dashboard" } ] }, "editable": true, "fiscalYearStartMonth": 0, "graphTooltip": 1, "id": null, "links": [], "panels": [ { "id": 50, "type": "stat", "title": "UX Responsiveness", "description": "Composite score (0-100) for user-visible responsiveness: content freshness, render smoothness, command ack, and reliability counters. Excludes full agent turn duration because long turns can be productive work.", "gridPos": { "h": 4, "w": 5, "x": 0, "y": 0 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "targets": [ { "refId": "A", "queryType": "table", "rawQueryText": "WITH session_stats AS (\n SELECT\n session_id,\n MIN(ts_ms) as first_ts,\n AVG(CASE WHEN metric='chat.jank_pct' THEN value END) as jank,\n AVG(CASE WHEN metric='chat.fresh_content_lag_ms' THEN value END) as lag,\n SUM(CASE WHEN metric='chat.message_queue_stale_drop' THEN value ELSE 0 END) as drops,\n SUM(CASE WHEN metric IN ('chat.message_queue_start_miss', 'chat.media_playback_error') THEN value ELSE 0 END) as failures,\n AVG(CASE WHEN metric='chat.message_queue_ack_ms' THEN value END) as ack,\n CAST(COUNT(CASE WHEN metric='chat.timeline_apply_ms' AND value > 50 THEN 1 END) AS REAL) /\n MAX(1, COUNT(CASE WHEN metric='chat.timeline_apply_ms' THEN 1 END)) * 100 as hitch_pct,\n COUNT(CASE WHEN metric='chat.catchup_ring_miss' AND value > 0 THEN 1 END) as ring_misses,\n COUNT(CASE WHEN metric='chat.ttft_ms' THEN 1 END) as turns\n FROM chat_metric_samples\n WHERE session_id IS NOT NULL AND session_id != ''\n AND ts_ms BETWEEN $__from AND $__to\n GROUP BY session_id\n HAVING turns >= 3\n)\nSELECT ROUND(AVG(100.0\n - MIN(25, MAX(0, (COALESCE(jank, 0) - 5) * 25.0 / 25))\n - MIN(15, MAX(0, (hitch_pct - 2) * 15.0 / 13))\n - MIN(20, MAX(0, (COALESCE(lag, 1000) - 300) * 20.0 / 2700))\n - MIN(10, MAX(0, (COALESCE(ack, 300) - 300) * 10.0 / 1700))\n - MIN(25, drops * 5.0)\n - MIN(15, failures * 5.0)\n - MIN(5, ring_misses * 5.0)), 0) AS value\nFROM session_stats" } ], "fieldConfig": { "defaults": { "unit": "none", "min": 0, "max": 100, "thresholds": { "mode": "absolute", "steps": [ { "color": "red", "value": null }, { "color": "orange", "value": 60 }, { "color": "yellow", "value": 70 }, { "color": "#73BF69", "value": 80 }, { "color": "green", "value": 90 } ] }, "color": { "mode": "thresholds" }, "mappings": [] }, "overrides": [] }, "options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "textMode": "value", "colorMode": "background", "graphMode": "none", "justifyMode": "auto", "orientation": "auto" } }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "ms" }, "overrides": [] }, "gridPos": { "h": 4, "w": 4, "x": 5, "y": 0 }, "id": 23, "options": { "colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": ["lastNotNull"], "fields": "", "values": false }, "textMode": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_load_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "queryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_load_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "timeColumns": [], "refId": "A" } ], "title": "Session Load", "type": "stat" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "ms" }, "overrides": [] }, "gridPos": { "h": 4, "w": 4, "x": 9, "y": 0 }, "id": 24, "options": { "colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": ["lastNotNull"], "fields": "", "values": false }, "textMode": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "queryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "timeColumns": [], "refId": "A" } ], "title": "First Token Wait", "type": "stat" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "percent" }, "overrides": [] }, "gridPos": { "h": 4, "w": 4, "x": 13, "y": 0 }, "id": 25, "options": { "colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": ["lastNotNull"], "fields": "", "values": false }, "textMode": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "queryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "timeColumns": [], "refId": "A" } ], "title": "Render Jank", "type": "stat" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "ms" }, "overrides": [] }, "gridPos": { "h": 4, "w": 4, "x": 17, "y": 0 }, "id": 26, "options": { "colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": ["lastNotNull"], "fields": "", "values": false }, "textMode": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_first_result_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "queryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_first_result_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "timeColumns": [], "refId": "A" } ], "title": "Voice", "type": "stat" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "ms" }, "overrides": [] }, "gridPos": { "h": 4, "w": 3, "x": 21, "y": 0 }, "id": 27, "options": { "colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": ["lastNotNull"], "fields": "", "values": false }, "textMode": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "queryText": "SELECT ROUND(AVG(value), 1) as value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND build_number = (SELECT MAX(build_number) FROM chat_metric_samples)\n AND ts_ms BETWEEN $__from AND $__to", "timeColumns": [], "refId": "A" } ], "title": "Reconnect", "type": "stat" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 12 }, "id": 1, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "First token wait (chat.ttft_ms)", "description": "User-visible wait from send/start to first assistant token. Do not compare this with full turn duration; turn duration is workload/progress telemetry.", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "focused session ready" } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "app-event stream ready" } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 12 }, "id": 2, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ws_wait_for_connected_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ws_wait_for_connected_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_connect_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_connect_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "Connection readiness (focused + app stream)", "description": "User-blocking wait for focused-session command transport and global app-event stream readiness.", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "cache_seeded (re-entry)" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "ring catch-up" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 20 }, "id": 3, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND COALESCE(json_extract(tags_json, '$.result'), '') = 'cache_seeded'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND COALESCE(json_extract(tags_json, '$.result'), '') = 'cache_seeded'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND COALESCE(json_extract(tags_json, '$.result'), '') NOT IN ('cache_seeded', 'no_gap', '')\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND COALESCE(json_extract(tags_json, '$.result'), '') NOT IN ('cache_seeded', 'no_gap', '')\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "Catch-up (chat.catchup_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 20 }, "id": 4, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.fresh_content_lag_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.fresh_content_lag_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Fresh content lag (chat.fresh_content_lag_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "count", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 28 }, "id": 5, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST((ts_ms / 1000 / 3600) * 3600 AS INTEGER) AS time, SUM(value) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ring_miss'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY 1\nORDER BY 1", "queryText": "SELECT CAST((ts_ms / 1000 / 3600) * 3600 AS INTEGER) AS time, SUM(value) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ring_miss'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY 1\nORDER BY 1", "timeColumns": ["time"], "refId": "A" } ], "title": "Catch-up ring miss per hour (should trend to zero)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "timeline_apply_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "timeline_layout_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "purple" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 28 }, "id": 28, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_apply_ms'\n AND build_number >= '21'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_apply_ms'\n AND build_number >= '21'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_layout_ms'\n AND build_number >= '21'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_layout_ms'\n AND build_number >= '21'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "Timeline Render Cost (build >= 21)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 6, "w": 24, "x": 0, "y": 34 }, "id": 22, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.result'), 'unknown') AS result,\n COUNT(*) AS samples,\n ROUND(AVG(value), 1) AS avg_ms,\n ROUND(MIN(value), 1) AS min_ms,\n ROUND(MAX(value), 1) AS max_ms,\n ROUND(SUM(CASE WHEN value > 500 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_500ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY result\nORDER BY samples DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.result'), 'unknown') AS result,\n COUNT(*) AS samples,\n ROUND(AVG(value), 1) AS avg_ms,\n ROUND(MIN(value), 1) AS min_ms,\n ROUND(MAX(value), 1) AS max_ms,\n ROUND(SUM(CASE WHEN value > 500 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_500ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.catchup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY result\nORDER BY samples DESC", "timeColumns": [], "refId": "A" } ], "title": "Catch-up result breakdown", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "percent", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 36 }, "id": 30, "options": { "legend": { "calcs": ["lastNotNull", "max", "mean"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n value,\n COALESCE(json_extract(tags_json, '$.phase'), 'unknown') AS metric\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n value,\n COALESCE(json_extract(tags_json, '$.phase'), 'unknown') AS metric\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Jank Rate (chat.jank_pct, by phase)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "yellow", "value": 5 }, { "color": "red", "value": 15 } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 36 }, "id": 31, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.phase'), 'unknown') AS phase,\n COUNT(*) AS samples,\n ROUND(AVG(value), 1) AS avg_pct,\n ROUND(MIN(value), 1) AS min_pct,\n ROUND(MAX(value), 1) AS max_pct,\n CAST(ROUND(AVG(CAST(json_extract(tags_json, '$.cycles') AS INTEGER))) AS INTEGER) AS avg_cycles,\n CAST(ROUND(AVG(CAST(json_extract(tags_json, '$.hitches') AS INTEGER))) AS INTEGER) AS avg_hitches\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY phase\nORDER BY avg_pct DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.phase'), 'unknown') AS phase,\n COUNT(*) AS samples,\n ROUND(AVG(value), 1) AS avg_pct,\n ROUND(MIN(value), 1) AS min_pct,\n ROUND(MAX(value), 1) AS max_pct,\n CAST(ROUND(AVG(CAST(json_extract(tags_json, '$.cycles') AS INTEGER))) AS INTEGER) AS avg_cycles,\n CAST(ROUND(AVG(CAST(json_extract(tags_json, '$.hitches') AS INTEGER))) AS INTEGER) AS avg_hitches\nFROM chat_metric_samples\nWHERE metric = 'chat.jank_pct'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY phase\nORDER BY avg_pct DESC", "timeColumns": [], "refId": "A" } ], "title": "Jank breakdown by phase", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 0, "y": 44 }, "id": 8, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_prewarm_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_prewarm_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Voice prewarm (chat.voice_prewarm_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 8, "y": 44 }, "id": 9, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_setup_ms'\n AND COALESCE(json_extract(tags_json, '$.phase'), '') = 'total'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_setup_ms'\n AND COALESCE(json_extract(tags_json, '$.phase'), '') = 'total'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Voice setup total (chat.voice_setup_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 16, "y": 44 }, "id": 10, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_first_result_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_first_result_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Voice first result (chat.voice_first_result_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 24, "x": 0, "y": 52 }, "id": 11, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.phase'), '') AS phase,\n COALESCE(json_extract(tags_json, '$.status'), '') AS status,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_setup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY phase, status\nORDER BY phase, status", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.phase'), '') AS phase,\n COALESCE(json_extract(tags_json, '$.status'), '') AS status,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_setup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY phase, status\nORDER BY phase, status", "timeColumns": [], "refId": "A" } ], "title": "Voice setup phase/status breakdown", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 0, "y": 60 }, "id": 74, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_setup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_setup_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Dictation Setup (chat.dictation_setup_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 8, "y": 60 }, "id": 75, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_first_result_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_first_result_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Dictation First Result (chat.dictation_first_result_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 16, "y": 60 }, "id": 76, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_finalize_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_finalize_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Dictation Finalize (chat.dictation_finalize_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 0, "y": 68 }, "id": 77, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_session_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_session_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Dictation Session Duration (chat.dictation_session_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 8, "y": 68 }, "id": 78, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_audio_duration_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_audio_duration_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Audio Duration (chat.dictation_audio_duration_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "none", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 8, "x": 16, "y": 68 }, "id": 79, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_result_updates'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_result_updates'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Result Updates (chat.dictation_result_updates)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "percentunit", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 76 }, "id": 80, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_preview_final_delta'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_preview_final_delta'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Preview vs Final Delta (chat.dictation_preview_final_delta)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "none", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 76 }, "id": 81, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value AS errors\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value AS errors\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value AS cancels\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_cancel'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value AS cancels\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_cancel'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "Errors + Cancels", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 24, "x": 0, "y": 84 }, "id": 82, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.stt_backend'), '') AS stt_backend,\n COALESCE(json_extract(tags_json, '$.model'), '') AS model,\n COUNT(*) AS sessions,\n ROUND(AVG(value), 0) AS avg_ms,\n ROUND(MIN(value), 0) AS min_ms,\n ROUND(MAX(value), 0) AS max_ms\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_session_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY stt_backend, model\nORDER BY sessions DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.stt_backend'), '') AS stt_backend,\n COALESCE(json_extract(tags_json, '$.model'), '') AS model,\n COUNT(*) AS sessions,\n ROUND(AVG(value), 0) AS avg_ms,\n ROUND(MIN(value), 0) AS min_ms,\n ROUND(MAX(value), 0) AS max_ms\nFROM chat_metric_samples\nWHERE metric = 'chat.dictation_session_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY stt_backend, model\nORDER BY sessions DESC", "timeColumns": [], "refId": "A" } ], "title": "Dictation by STT Backend/Model", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "session_load_ms (vital)" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "yellow" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "trace_fetch_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "red" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "cache_load_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "D" }, "properties": [ { "id": "displayName", "value": "reducer_load_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 92 }, "id": 29, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.trace_fetch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.trace_fetch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.cache_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.cache_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.reducer_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.reducer_load_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "D" } ], "title": "Session Load Pipeline", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 24, "x": 0, "y": 100 }, "id": 16, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.provider'), 'unknown') AS provider,\n COALESCE(json_extract(tags_json, '$.model'), 'unknown') AS model,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 1200 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_1200ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY provider, model\nORDER BY samples DESC, avg_ms DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.provider'), 'unknown') AS provider,\n COALESCE(json_extract(tags_json, '$.model'), 'unknown') AS model,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 1200 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_1200ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.ttft_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY provider, model\nORDER BY samples DESC, avg_ms DESC", "timeColumns": [], "refId": "A" } ], "title": "TTFT by provider/model", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 9, "w": 24, "x": 0, "y": 108 }, "id": 17, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n session_id,\n COALESCE(json_extract(tags_json, '$.provider'), 'unknown') AS provider,\n COALESCE(json_extract(tags_json, '$.model'), 'unknown') AS model,\n CAST(MAX(CASE WHEN metric = 'chat.session_message_count' THEN value END) AS INTEGER) AS message_count,\n CAST(MAX(CASE WHEN metric = 'chat.session_input_tokens' THEN value END) AS INTEGER) AS input_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_output_tokens' THEN value END) AS INTEGER) AS output_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_mutating_tool_calls' THEN value END) AS INTEGER) AS mutating_tool_calls,\n CAST(MAX(CASE WHEN metric = 'chat.session_files_changed' THEN value END) AS INTEGER) AS files_changed,\n CAST(MAX(CASE WHEN metric = 'chat.session_added_lines' THEN value END) AS INTEGER) AS added_lines,\n CAST(MAX(CASE WHEN metric = 'chat.session_removed_lines' THEN value END) AS INTEGER) AS removed_lines,\n CAST(MAX(CASE WHEN metric = 'chat.session_context_tokens' THEN value END) AS INTEGER) AS context_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_context_window' THEN value END) AS INTEGER) AS context_window,\n MAX(build_number) AS latest_build,\n datetime(MAX(ts_ms) / 1000, 'unixepoch', 'localtime') AS last_seen\nFROM chat_metric_samples\nWHERE metric IN (\n 'chat.session_message_count',\n 'chat.session_input_tokens',\n 'chat.session_output_tokens',\n 'chat.session_mutating_tool_calls',\n 'chat.session_files_changed',\n 'chat.session_added_lines',\n 'chat.session_removed_lines',\n 'chat.session_context_tokens',\n 'chat.session_context_window'\n)\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY session_id, provider, model\nORDER BY MAX(ts_ms) DESC", "queryText": "SELECT\n session_id,\n COALESCE(json_extract(tags_json, '$.provider'), 'unknown') AS provider,\n COALESCE(json_extract(tags_json, '$.model'), 'unknown') AS model,\n CAST(MAX(CASE WHEN metric = 'chat.session_message_count' THEN value END) AS INTEGER) AS message_count,\n CAST(MAX(CASE WHEN metric = 'chat.session_input_tokens' THEN value END) AS INTEGER) AS input_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_output_tokens' THEN value END) AS INTEGER) AS output_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_mutating_tool_calls' THEN value END) AS INTEGER) AS mutating_tool_calls,\n CAST(MAX(CASE WHEN metric = 'chat.session_files_changed' THEN value END) AS INTEGER) AS files_changed,\n CAST(MAX(CASE WHEN metric = 'chat.session_added_lines' THEN value END) AS INTEGER) AS added_lines,\n CAST(MAX(CASE WHEN metric = 'chat.session_removed_lines' THEN value END) AS INTEGER) AS removed_lines,\n CAST(MAX(CASE WHEN metric = 'chat.session_context_tokens' THEN value END) AS INTEGER) AS context_tokens,\n CAST(MAX(CASE WHEN metric = 'chat.session_context_window' THEN value END) AS INTEGER) AS context_window,\n MAX(build_number) AS latest_build,\n datetime(MAX(ts_ms) / 1000, 'unixepoch', 'localtime') AS last_seen\nFROM chat_metric_samples\nWHERE metric IN (\n 'chat.session_message_count',\n 'chat.session_input_tokens',\n 'chat.session_output_tokens',\n 'chat.session_mutating_tool_calls',\n 'chat.session_files_changed',\n 'chat.session_added_lines',\n 'chat.session_removed_lines',\n 'chat.session_context_tokens',\n 'chat.session_context_window'\n)\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY session_id, provider, model\nORDER BY MAX(ts_ms) DESC", "timeColumns": [], "refId": "A" } ], "title": "Agent workload by session (not UX latency)", "description": "Session size, token, tool, and file-change counters explain how much work the agent did. High values are not bad by themselves; correlate them with TTFT, errors, tool hangs, or missing progress.", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 117 }, "id": 18, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.cell_configure_ms'\n AND COALESCE(json_extract(tags_json, '$.expanded'), '0') = '1'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.cell_configure_ms'\n AND COALESCE(json_extract(tags_json, '$.expanded'), '0') = '1'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Expanded tool cell configure (chat.cell_configure_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 117 }, "id": 19, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.content_type'), 'collapsed') AS content_type,\n COALESCE(json_extract(tags_json, '$.tool'), 'unknown') AS tool,\n COALESCE(json_extract(tags_json, '$.output_bytes'), '?') AS output_bytes,\n COALESCE(json_extract(tags_json, '$.expanded'), '0') AS expanded,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 16 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_16ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.cell_configure_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY content_type, tool, output_bytes, expanded\nORDER BY max_ms DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.content_type'), 'collapsed') AS content_type,\n COALESCE(json_extract(tags_json, '$.tool'), 'unknown') AS tool,\n COALESCE(json_extract(tags_json, '$.output_bytes'), '?') AS output_bytes,\n COALESCE(json_extract(tags_json, '$.expanded'), '0') AS expanded,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 16 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_16ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.cell_configure_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY content_type, tool, output_bytes, expanded\nORDER BY max_ms DESC", "timeColumns": [], "refId": "A" } ], "title": "Cell configure by content type/tool/size", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 125 }, "id": 20, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.render_strategy_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.render_strategy_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Render strategy (chat.render_strategy_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "inspect": false }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 125 }, "id": 21, "options": { "cellHeight": "sm", "showHeader": true }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n COALESCE(json_extract(tags_json, '$.mode'), 'unknown') AS mode,\n COALESCE(json_extract(tags_json, '$.language'), '-') AS language,\n COALESCE(json_extract(tags_json, '$.input_bytes'), '?') AS input_bytes,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 16 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_16ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.render_strategy_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY mode, language, input_bytes\nORDER BY max_ms DESC", "queryText": "SELECT\n COALESCE(json_extract(tags_json, '$.mode'), 'unknown') AS mode,\n COALESCE(json_extract(tags_json, '$.language'), '-') AS language,\n COALESCE(json_extract(tags_json, '$.input_bytes'), '?') AS input_bytes,\n COUNT(*) AS samples,\n ROUND(AVG(value), 2) AS avg_ms,\n ROUND(MIN(value), 2) AS min_ms,\n ROUND(MAX(value), 2) AS max_ms,\n ROUND(SUM(CASE WHEN value > 16 THEN 1 ELSE 0 END) * 100.0 / COUNT(*), 1) AS over_16ms_pct\nFROM chat_metric_samples\nWHERE metric = 'chat.render_strategy_ms'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY mode, language, input_bytes\nORDER BY max_ms DESC", "timeColumns": [], "refId": "A" } ], "title": "Render strategy by mode/language/size", "type": "table" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "red" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always", "thresholdsStyle": { "mode": "line" } }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "red", "value": 16 } ] } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 133 }, "id": 32, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_hitch'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.timeline_hitch'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Timeline Hitch (chat.timeline_hitch)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "app_launch_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "session_switch_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 133 }, "id": 33, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_launch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_launch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_switch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_switch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "App Launch + Session Switch", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 141 }, "id": 34, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_compute_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_compute_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Session List Perf (chat.session_list_compute_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 141 }, "id": 35, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.markdown_streaming_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.markdown_streaming_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Markdown Streaming (chat.markdown_streaming_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "yellow" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "ask_response" } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "media_playback_start" } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "share_export" } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 157 }, "id": 37, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ask_response_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.ask_response_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.media_playback_start_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.media_playback_start_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.share_export_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.share_export_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" } ], "title": "Attention, media, and share UX", "description": "User-facing interaction timings outside the main chat stream: ask-card dwell time, media playback startup, and share export render.", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "yellow" }, "unit": "short", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 165 }, "id": 38, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_body_rate'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_body_rate'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Session List Body Rate (chat.session_list_body_rate)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "yellow" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 165 }, "id": 39, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_row_compute_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.session_list_row_compute_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Session List Row Compute (chat.session_list_row_compute_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "yellow" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 5, "showPoints": "always" } }, "overrides": [] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 173 }, "id": 40, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_ack_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_ack_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ], "title": "Message Queue Ack (chat.message_queue_ack_ms)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "short", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "stale_drop" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "semi-dark-red" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "start_miss" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "semi-dark-orange" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "app_stream_reconnect" } ] }, { "matcher": { "id": "byFrameRefID", "options": "D" }, "properties": [ { "id": "displayName", "value": "app_stream_decode_error" } ] }, { "matcher": { "id": "byFrameRefID", "options": "E" }, "properties": [ { "id": "displayName", "value": "media_playback_error" } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 173 }, "id": 41, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_stale_drop'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_stale_drop'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_start_miss'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.message_queue_start_miss'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_reconnect'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_reconnect'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_decode_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.app_event_stream_decode_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "D" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.media_playback_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.media_playback_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "E" } ], "title": "User-visible reliability counters", "description": "Counts where a user action, app stream, or media playback failed/recovered. These should trend toward zero.", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "chunk_upload_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "yellow" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "probe_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 181 }, "id": 42, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_upload_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_upload_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_probe_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_probe_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" } ], "title": "Voice Remote Latency (upload + probe)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "short", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "audio_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "bytes" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "chars" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "purple" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "D" }, "properties": [ { "id": "displayName", "value": "errors" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "red" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 181 }, "id": 43, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_audio_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_audio_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_bytes'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_bytes'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_chars'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_chars'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.voice_remote_chunk_error'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "D" } ], "title": "Voice Remote Chunk Detail", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "ms", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "connected_dispatch_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "yellow" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "subscribe_ack_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "queue_sync_ms" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 189 }, "id": 44, "options": { "legend": { "calcs": ["lastNotNull", "max", "count"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.connected_dispatch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.connected_dispatch_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.subscribe_ack_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.subscribe_ack_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.queue_sync_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.queue_sync_ms'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" } ], "title": "Internal Pipeline Latency (dispatch + subscribe_ack + queue_sync)", "type": "timeseries" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "short", "custom": { "drawStyle": "points", "lineWidth": 0, "pointSize": 4, "showPoints": "always" } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "avg_events_per_flush" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "avg_kib_per_flush" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "purple" } }, { "id": "custom.axisPlacement", "value": "right" } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "queue_high_water" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "red" } } ] } ] }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 189 }, "id": 45, "options": { "legend": { "calcs": ["lastNotNull", "mean", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n ROUND(value / MAX(1, CAST(COALESCE(json_extract(tags_json, '$.flushes'), 1) AS REAL)), 2) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.coalescer_flush_events'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n ROUND(value / MAX(1, CAST(COALESCE(json_extract(tags_json, '$.flushes'), 1) AS REAL)), 2) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.coalescer_flush_events'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n ROUND((value / MAX(1, CAST(COALESCE(json_extract(tags_json, '$.flushes'), 1) AS REAL))) / 1024.0, 2) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.coalescer_flush_bytes'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time,\n ROUND((value / MAX(1, CAST(COALESCE(json_extract(tags_json, '$.flushes'), 1) AS REAL))) / 1024.0, 2) AS value\nFROM chat_metric_samples\nWHERE metric = 'chat.coalescer_flush_bytes'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.inbound_queue_depth'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "queryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'chat.inbound_queue_depth'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "C" } ], "title": "Coalescer Load + Queue High-Water", "description": "Coalescer metrics are emitted as ~1s windows (`tags.flushes` is usually about 30), so this panel normalizes them back to per-flush averages. `queue_high_water` is not a live queue gauge; it only records when a session reaches a new max.", "type": "timeseries" }, { "id": 51, "type": "timeseries", "title": "UX Responsiveness Trend", "description": "Daily average UX responsiveness score. This excludes full agent turn duration; long turns are tracked as workload/progress.", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 197 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "targets": [ { "refId": "A", "queryType": "table", "rawQueryText": "WITH session_stats AS (\n SELECT\n session_id,\n MIN(ts_ms) as first_ts,\n AVG(CASE WHEN metric='chat.jank_pct' THEN value END) as jank,\n AVG(CASE WHEN metric='chat.fresh_content_lag_ms' THEN value END) as lag,\n SUM(CASE WHEN metric='chat.message_queue_stale_drop' THEN value ELSE 0 END) as drops,\n SUM(CASE WHEN metric IN ('chat.message_queue_start_miss', 'chat.media_playback_error') THEN value ELSE 0 END) as failures,\n AVG(CASE WHEN metric='chat.message_queue_ack_ms' THEN value END) as ack,\n CAST(COUNT(CASE WHEN metric='chat.timeline_apply_ms' AND value > 50 THEN 1 END) AS REAL) /\n MAX(1, COUNT(CASE WHEN metric='chat.timeline_apply_ms' THEN 1 END)) * 100 as hitch_pct,\n COUNT(CASE WHEN metric='chat.catchup_ring_miss' AND value > 0 THEN 1 END) as ring_misses,\n COUNT(CASE WHEN metric='chat.ttft_ms' THEN 1 END) as turns\n FROM chat_metric_samples\n WHERE session_id IS NOT NULL AND session_id != ''\n AND ts_ms BETWEEN $__from AND $__to\n GROUP BY session_id\n HAVING turns >= 3\n),\nscored AS (\n SELECT\n first_ts / 1000 as ts,\n 100.0\n - MIN(25, MAX(0, (COALESCE(jank, 0) - 5) * 25.0 / 25))\n - MIN(15, MAX(0, (hitch_pct - 2) * 15.0 / 13))\n - MIN(20, MAX(0, (COALESCE(lag, 1000) - 300) * 20.0 / 2700))\n - MIN(10, MAX(0, (COALESCE(ack, 300) - 300) * 10.0 / 1700))\n - MIN(25, drops * 5.0)\n - MIN(15, failures * 5.0)\n - MIN(5, ring_misses * 5.0) as score\n FROM session_stats\n)\nSELECT ts as time, ROUND(score, 0) as quality_score\nFROM scored\nORDER BY ts" } ], "fieldConfig": { "defaults": { "unit": "none", "min": 0, "max": 100, "custom": { "drawStyle": "points", "pointSize": 6, "lineInterpolation": "linear", "showPoints": "always", "fillOpacity": 0, "lineWidth": 0 }, "thresholds": { "mode": "absolute", "steps": [ { "color": "red", "value": null }, { "color": "orange", "value": 60 }, { "color": "yellow", "value": 70 }, { "color": "#73BF69", "value": 80 }, { "color": "green", "value": 90 } ] }, "color": { "mode": "thresholds" } }, "overrides": [] }, "options": { "tooltip": { "mode": "single" }, "legend": { "displayMode": "hidden" } } }, { "id": 52, "type": "table", "title": "UX Responsiveness Breakdown", "description": "Per-session responsiveness breakdown. Worst sessions first. Long agent work duration is intentionally not part of this score.", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 197 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "targets": [ { "refId": "A", "queryType": "table", "rawQueryText": "WITH session_stats AS (\n SELECT\n session_id,\n MIN(ts_ms) as first_ts,\n AVG(CASE WHEN metric='chat.jank_pct' THEN value END) as jank,\n AVG(CASE WHEN metric='chat.fresh_content_lag_ms' THEN value END) as lag,\n SUM(CASE WHEN metric='chat.message_queue_stale_drop' THEN value ELSE 0 END) as drops,\n SUM(CASE WHEN metric IN ('chat.message_queue_start_miss', 'chat.media_playback_error') THEN value ELSE 0 END) as failures,\n AVG(CASE WHEN metric='chat.message_queue_ack_ms' THEN value END) as ack,\n CAST(COUNT(CASE WHEN metric='chat.timeline_apply_ms' AND value > 50 THEN 1 END) AS REAL) /\n MAX(1, COUNT(CASE WHEN metric='chat.timeline_apply_ms' THEN 1 END)) * 100 as hitch_pct,\n COUNT(CASE WHEN metric='chat.catchup_ring_miss' AND value > 0 THEN 1 END) as ring_misses,\n COUNT(CASE WHEN metric='chat.ttft_ms' THEN 1 END) as turns\n FROM chat_metric_samples\n WHERE session_id IS NOT NULL AND session_id != ''\n AND ts_ms BETWEEN $__from AND $__to\n GROUP BY session_id\n HAVING turns >= 3\n)\nSELECT\n session_id,\n turns,\n ROUND(COALESCE(jank, 0), 1) as jank_pct,\n ROUND(hitch_pct, 1) as hitch_pct,\n ROUND(COALESCE(lag, 1000)) as lag_ms,\n ROUND(COALESCE(ack, 300)) as ack_ms,\n drops as stale_drops,\n failures,\n ROUND(100.0\n - MIN(25, MAX(0, (COALESCE(jank, 0) - 5) * 25.0 / 25))\n - MIN(15, MAX(0, (hitch_pct - 2) * 15.0 / 13))\n - MIN(20, MAX(0, (COALESCE(lag, 1000) - 300) * 20.0 / 2700))\n - MIN(10, MAX(0, (COALESCE(ack, 300) - 300) * 10.0 / 1700))\n - MIN(25, drops * 5.0)\n - MIN(15, failures * 5.0)\n - MIN(5, ring_misses * 5.0), 0) as score\nFROM session_stats\nORDER BY score ASC\nLIMIT 20" } ], "fieldConfig": { "defaults": {}, "overrides": [ { "matcher": { "id": "byName", "options": "score" }, "properties": [ { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "red", "value": null }, { "color": "orange", "value": 60 }, { "color": "yellow", "value": 70 }, { "color": "#73BF69", "value": 80 }, { "color": "green", "value": 90 } ] } }, { "id": "custom.cellOptions", "value": { "type": "color-background", "mode": "basic" } } ] } ] }, "options": { "showHeader": true, "sortBy": [ { "displayName": "score", "desc": false } ] } }, { "id": 60, "type": "row", "title": "MetricKit (device-level)", "collapsed": false, "gridPos": { "h": 1, "w": 24, "x": 0, "y": 205 }, "panels": [] }, { "id": 61, "type": "barchart", "title": "Crashes and Hangs (MetricKit diagnostics)", "description": "Daily count of crash and hang diagnostic payloads reported by MetricKit.", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 206 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "short" }, "overrides": [ { "matcher": { "id": "byName", "options": "crashes" }, "properties": [ { "id": "color", "value": { "mode": "fixed", "fixedColor": "red" } } ] }, { "matcher": { "id": "byName", "options": "hangs" }, "properties": [ { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] }, { "matcher": { "id": "byName", "options": "cpu_exceptions" }, "properties": [ { "id": "color", "value": { "mode": "fixed", "fixedColor": "yellow" } } ] } ] }, "options": { "orientation": "auto", "barWidth": 0.8, "groupWidth": 0.7, "stacking": "normal", "legend": { "displayMode": "list", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" }, "xTickLabelRotation": 0, "showValue": "auto" }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n date(window_start_ms/1000, 'unixepoch', 'localtime') as day,\n SUM(CASE WHEN summary_json LIKE '%crashDiag%' THEN 1 ELSE 0 END) as crashes,\n SUM(CASE WHEN summary_json LIKE '%hangDiag%' THEN 1 ELSE 0 END) as hangs,\n SUM(CASE WHEN summary_json LIKE '%cpuException%' THEN 1 ELSE 0 END) as cpu_exceptions\nFROM metrickit_payloads\nWHERE kind = 'diagnostic'\n AND window_start_ms BETWEEN $__from AND $__to\nGROUP BY day\nORDER BY day", "timeColumns": [], "refId": "A" } ] }, { "id": 62, "type": "timeseries", "title": "App Responsiveness (MetricKit hang histogram buckets)", "description": "Number of hang diagnostic events per day from MetricKit. Includes crash, hang, and CPU exception categories.", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 206 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "short", "custom": { "drawStyle": "bars", "lineWidth": 0, "fillOpacity": 80, "stacking": { "mode": "normal" } } }, "overrides": [] }, "options": { "legend": { "calcs": ["sum", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n COUNT(*) as value\nFROM metrickit_payloads\nWHERE kind = 'diagnostic'\n AND window_start_ms BETWEEN $__from AND $__to\nGROUP BY date(window_start_ms/1000, 'unixepoch', 'localtime')\nORDER BY time", "timeColumns": ["time"], "refId": "A" } ] }, { "id": 63, "type": "timeseries", "title": "CPU and GPU Time (MetricKit daily)", "description": "Cumulative CPU and GPU time per 24-hour MetricKit reporting window.", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 214 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "s", "custom": { "drawStyle": "line", "lineWidth": 2, "pointSize": 5, "showPoints": "always", "fillOpacity": 10 } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "CPU Time" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "GPU Time" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] } ] }, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(summary_json, '$.cpuMetrics'), '$.cumulativeCPUTime'), ' sec', '') AS REAL) as value\nFROM metrickit_payloads\nWHERE kind = 'metric'\n AND summary_json LIKE '%cpuMetrics%'\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(summary_json, '$.gpuMetrics'), '$.cumulativeGPUTime'), ' sec', '') AS REAL) as value\nFROM metrickit_payloads\nWHERE kind = 'metric'\n AND summary_json LIKE '%gpuMetrics%'\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "B" } ] }, { "id": 64, "type": "timeseries", "title": "Peak Memory Usage (MetricKit daily)", "description": "Peak memory usage reported by MetricKit per 24-hour window. Extracted from raw payload to avoid summary truncation.", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 214 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "fixed", "fixedColor": "purple" }, "unit": "decmbytes", "custom": { "drawStyle": "line", "lineWidth": 2, "pointSize": 5, "showPoints": "always", "fillOpacity": 10 } }, "overrides": [] }, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "single", "sort": "none" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.memoryMetrics.peakMemoryUsage'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric'\n AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.memoryMetrics.peakMemoryUsage') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "A" } ] }, { "id": 65, "type": "timeseries", "title": "Network Transfer (MetricKit daily)", "description": "Cumulative WiFi and cellular download/upload per 24-hour MetricKit window.", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 222 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "decmbytes", "custom": { "drawStyle": "line", "lineWidth": 2, "pointSize": 5, "showPoints": "always", "fillOpacity": 10 } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "WiFi Down" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "WiFi Up" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "light-blue" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "C" }, "properties": [ { "id": "displayName", "value": "Cellular Down" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "D" }, "properties": [ { "id": "displayName", "value": "Cellular Up" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "yellow" } } ] } ] }, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeWifiDownload'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeWifiDownload') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeWifiUpload'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeWifiUpload') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "B" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeCellularDownload'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeCellularDownload') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "C" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeCellularUpload'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.networkTransferMetrics.cumulativeCellularUpload') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "D" } ] }, { "id": 66, "type": "timeseries", "title": "Disk I/O and Storage (MetricKit daily)", "description": "Cumulative logical writes and total disk space used per 24-hour MetricKit window.", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 222 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "decmbytes", "custom": { "drawStyle": "line", "lineWidth": 2, "pointSize": 5, "showPoints": "always", "fillOpacity": 10 } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "Logical Writes" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "App Data Size" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "blue" } } ] } ] }, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.diskIOMetrics.cumulativeLogicalWrites'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.diskIOMetrics.cumulativeLogicalWrites') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.diskSpaceUsageMetrics.totalDataFileSize'), ' kB', '') AS REAL) / 1024.0 as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.diskSpaceUsageMetrics.totalDataFileSize') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "B" } ] }, { "id": 67, "type": "timeseries", "title": "App Launch Time (MetricKit daily)", "description": "Cumulative foreground and background time per 24-hour MetricKit window.", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 230 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "s", "custom": { "drawStyle": "line", "lineWidth": 2, "pointSize": 5, "showPoints": "always", "fillOpacity": 10 } }, "overrides": [ { "matcher": { "id": "byFrameRefID", "options": "A" }, "properties": [ { "id": "displayName", "value": "Foreground" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } ] }, { "matcher": { "id": "byFrameRefID", "options": "B" }, "properties": [ { "id": "displayName", "value": "Background" }, { "id": "color", "value": { "mode": "fixed", "fixedColor": "semi-dark-blue" } } ] } ] }, "options": { "legend": { "calcs": ["lastNotNull", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.applicationTimeMetrics.cumulativeForegroundTime'), ' sec', '') AS REAL) as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.applicationTimeMetrics.cumulativeForegroundTime') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "A" }, { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT\n CAST(window_end_ms / 1000 AS INTEGER) AS time,\n CAST(REPLACE(json_extract(json_extract(raw_json, '$.payload'), '$.applicationTimeMetrics.cumulativeBackgroundTime'), ' sec', '') AS REAL) as value\nFROM metrickit_payloads\nWHERE kind = 'metric' AND raw_json != '{}'\n AND json_extract(json_extract(raw_json, '$.payload'), '$.applicationTimeMetrics.cumulativeBackgroundTime') IS NOT NULL\n AND window_start_ms BETWEEN $__from AND $__to\nORDER BY time", "timeColumns": ["time"], "refId": "B" } ] }, { "id": 68, "type": "table", "title": "MetricKit Payload Log", "description": "Raw log of all MetricKit payloads received. Shows payload type, build, window range, and key summary fields.", "gridPos": { "h": 8, "w": 24, "x": 0, "y": 238 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] } }, "overrides": [] }, "options": { "showHeader": true, "sortBy": [ { "displayName": "received", "desc": true } ] }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "table", "rawQueryText": "SELECT\n datetime(received_at_ms/1000, 'unixepoch', 'localtime') as received,\n kind,\n build_number as build,\n app_version as version,\n datetime(window_start_ms/1000, 'unixepoch', 'localtime') as window_start,\n datetime(window_end_ms/1000, 'unixepoch', 'localtime') as window_end,\n CASE\n WHEN kind = 'diagnostic' AND summary_json LIKE '%crashDiag%' THEN 'crash'\n WHEN kind = 'diagnostic' AND summary_json LIKE '%hangDiag%' THEN 'hang'\n WHEN kind = 'diagnostic' AND summary_json LIKE '%cpuException%' THEN 'cpu_exception'\n WHEN kind = 'metric' AND summary_json LIKE '%cpuMetrics%' THEN 'full_daily'\n WHEN kind = 'metric' THEN 'disk_snapshot'\n ELSE kind\n END as payload_type\nFROM metrickit_payloads\nWHERE window_start_ms BETWEEN $__from AND $__to\n OR received_at_ms BETWEEN $__from AND $__to\nORDER BY received_at_ms DESC\nLIMIT 100", "timeColumns": [], "refId": "A" } ] }, { "id": 69, "type": "row", "title": "Device Resources (10s samples)", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 246 }, "collapsed": false, "panels": [] }, { "id": 70, "type": "timeseries", "title": "CPU Usage % (device.cpu_pct)", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 247 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "percent", "custom": { "drawStyle": "line", "lineWidth": 1, "fillOpacity": 15, "pointSize": 3, "showPoints": "auto", "spanNulls": true } }, "overrides": [] }, "options": { "legend": { "calcs": ["mean", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'device.cpu_pct'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ] }, { "id": 71, "type": "timeseries", "title": "Memory Footprint MB (device.memory_mb)", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 247 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "decmbytes", "custom": { "drawStyle": "line", "lineWidth": 1, "fillOpacity": 15, "pointSize": 3, "showPoints": "auto", "spanNulls": true } }, "overrides": [] }, "options": { "legend": { "calcs": ["mean", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'device.memory_mb'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ] }, { "id": 72, "type": "timeseries", "title": "Available Memory MB (device.memory_available_mb)", "gridPos": { "h": 8, "w": 12, "x": 0, "y": 255 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "decmbytes", "custom": { "drawStyle": "line", "lineWidth": 1, "fillOpacity": 15, "pointSize": 3, "showPoints": "auto", "spanNulls": true } }, "overrides": [] }, "options": { "legend": { "calcs": ["mean", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'device.memory_available_mb'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ] }, { "id": 73, "type": "timeseries", "title": "Thermal State (device.thermal_state)", "gridPos": { "h": 8, "w": 12, "x": 12, "y": 255 }, "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "unit": "none", "custom": { "drawStyle": "points", "lineWidth": 1, "fillOpacity": 15, "pointSize": 3, "showPoints": "auto", "spanNulls": true } }, "overrides": [] }, "options": { "legend": { "calcs": ["mean", "max"], "displayMode": "table", "placement": "bottom" }, "tooltip": { "mode": "multi", "sort": "desc" } }, "targets": [ { "datasource": { "type": "frser-sqlite-datasource", "uid": "oppi-telemetry-sqlite" }, "queryType": "time series", "rawQueryText": "SELECT CAST(ts_ms / 1000 AS INTEGER) AS time, value\nFROM chat_metric_samples\nWHERE metric = 'device.thermal_state'\n AND ts_ms BETWEEN $__from AND $__to\nORDER BY ts_ms", "timeColumns": ["time"], "refId": "A" } ] }, { "title": "Split Stream Server Lanes", "description": "Release preflight: confirm split session/audio lanes have traffic and no untagged WebSocket lane is carrying the client flow.", "type": "table", "datasource": { "uid": "oppi-telemetry-sqlite", "type": "frser-sqlite-datasource" }, "gridPos": { "h": 8, "w": 12, "x": 0, "y": 263 }, "fieldConfig": { "defaults": { "custom": { "align": "auto", "cellOptions": { "type": "auto" } } }, "overrides": [] }, "targets": [ { "rawQueryText": "SELECT\n COALESCE(tag_path, 'untagged_ws') AS path,\n metric,\n COALESCE(tag_type, '-') AS message_type,\n COUNT(*) AS samples,\n ROUND(SUM(value), 1) AS total\nFROM server_ops_metric_samples\nWHERE metric IN ('server.ws_handshake_ms', 'server.ws_message_sent', 'server.ws_message_received', 'server.ws_binary_received_bytes')\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY path, metric, message_type\nORDER BY path, metric, samples DESC", "queryType": "table", "timeColumns": [] } ], "options": { "showHeader": true, "cellHeight": "sm" } }, { "title": "Split Stream Close Codes", "description": "Release preflight: close-code distribution by stream lane.", "type": "table", "datasource": { "uid": "oppi-telemetry-sqlite", "type": "frser-sqlite-datasource" }, "gridPos": { "h": 8, "w": 12, "x": 12, "y": 263 }, "fieldConfig": { "defaults": { "custom": { "align": "auto", "cellOptions": { "type": "auto" } } }, "overrides": [] }, "targets": [ { "rawQueryText": "SELECT\n COALESCE(tag_path, 'untagged_ws') AS path,\n COALESCE(tag_code, 'unknown') AS close_code,\n SUM(value) AS closes,\n datetime(MAX(ts_ms) / 1000, 'unixepoch', 'localtime') AS last_seen\nFROM server_ops_metric_samples\nWHERE metric = 'server.ws_close_code'\n AND ts_ms BETWEEN $__from AND $__to\nGROUP BY path, close_code\nORDER BY closes DESC, path, close_code", "queryType": "table", "timeColumns": [] } ], "options": { "showHeader": true, "cellHeight": "sm" } } ], "refresh": "30s", "schemaVersion": 39, "style": "dark", "tags": ["oppi", "telemetry", "release"], "templating": { "list": [] }, "time": { "from": "now-24h", "to": "now" }, "timepicker": {}, "timezone": "browser", "title": "Oppi Release Preflight", "uid": "oppi-release-preflight", "version": 10, "weekStart": "" }