{ "date": "2026-09-02", "timezone": "Asia/Shanghai", "window_start": "2026-09-02T00:00:00+08:00", "window_end": "2026-09-03T00:00:00+08:00", "granularity": "daily", "data_status": "complete", "source": { "kind": "grafana_prometheus_and_prod_sqlite", "grafana_datasource": "DevOps-prometheus", "grafana_datasource_id": 80, "prometheus_labels": { "cluster": "prod-devops", "namespace": "investibook", "job": "backend", "prometheus": "monitoring/o11y-vmagent" }, "prod_backend_sqlite": "/data/db/investibook.db", "notes": [ "Cost comes from prod SQLite interaction_token_usage with runtime-aware accounting: OpenCode ses_* rows use cumulative session deltas; PI UUID and image-parse rows use per-row increments.", "workspace_count in summary is cost-derived distinct positive-cost workspaces.", "Prometheus is used for ACP interaction counts only; investigatory PI sessions made investibook_acp_session_cost unsuitable as the cost source for mixed-runtime weekly reporting.", "message categories are rule-based user-message classifications.", "scenario labels are added to split daily workspace_changes rows." ] }, "summary": { "total_cost": 18.5604, "total_acp_interactions": 52, "active_users": 15, "workspace_count": 23, "created_workspace_count": 26, "new_workspace_count": 23, "updated_existing_workspace_count": 1, "changed_workspace_count": 24, "message_count": 137, "user_message_count": 58, "assistant_message_count": 75, "unknown_user_count": 0, "unknown_cost": 0.0 }, "teams": [ { "team_path": "Engineering Group / Database Service Engineering / Efficiency & Quality", "team": "Efficiency & Quality", "cost": 5.8095, "acp_interactions": 15, "workspace_count": 4, "active_users": 1, "message_count": 47, "user_message_count": 16, "cost_per_ws": 1.4524, "cost_per_acp": 0.3873, "acp_per_ws": 3.75, "message_per_ws": 11.75, "message_per_acp": 3.1333, "correction_message_ratio": null }, { "team_path": "Engineering Group / Database Service Engineering / Intelligent Query Processing Service / 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