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Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0057483ef371cdea/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"nom_5": "", "support": 17778, "avg_response": 0.18669141635729553}, {"nom_5": "fc8fc7e56", "support": 977, "avg_response": 0.18730808597748208}, {"nom_5": "360a16627", "support": 972, "avg_response": 0.1800411522633745}, {"nom_5": "423976253", "support": 961, "avg_response": 0.18730489073881373}, {"nom_5": "7917d446c", "support": 961, "avg_response": 0.17793964620187305}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0057483ef371cdea/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_c15_0057483ef371cdea
+-- problem_id: v2p_c15_78a24c7a41d61841
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "nom_5",
+    COUNT(*) AS support,
+    AVG("bin_1") AS avg_response
+FROM "c15"
+GROUP BY "nom_5"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0057483ef371cdea/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c15_0057483ef371cdea\n-- problem_id: v2p_c15_78a24c7a41d61841\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"nom_5\",\n    COUNT(*) AS support,\n    AVG(\"bin_1\") AS avg_response\nFROM \"c15\"\nGROUP BY \"nom_5\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c15_0057483ef371cdea\\n-- problem_id: v2p_c15_78a24c7a41d61841\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"nom_5\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"bin_1\\\") AS avg_response\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_5\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"nom_5\", \"support\", \"avg_response\"], \"rows\": [{\"nom_5\": \"\", \"support\": 17778, \"avg_response\": 0.18669141635729553}, {\"nom_5\": \"fc8fc7e56\", \"support\": 977, \"avg_response\": 0.18730808597748208}, {\"nom_5\": \"360a16627\", \"support\": 972, \"avg_response\": 0.1800411522633745}, {\"nom_5\": \"423976253\", \"support\": 961, \"avg_response\": 0.18730489073881373}, {\"nom_5\": \"7917d446c\", \"support\": 961, \"avg_response\": 0.17793964620187305}, {\"nom_5\": \"879c2ed83\", \"support\": 960, \"avg_response\": 0.16875}, {\"nom_5\": \"079b76328\", \"support\": 960, \"avg_response\": 0.15520833333333334}, {\"nom_5\": \"f4c4a7cc2\", \"support\": 958, \"avg_response\": 0.15657620041753653}, {\"nom_5\": \"e32171484\", \"support\": 956, \"avg_response\": 0.1788702928870293}, {\"nom_5\": \"251c8292d\", \"support\": 954, \"avg_response\": 0.16457023060796647}, {\"nom_5\": \"b165c9589\", \"support\": 951, \"avg_response\": 0.15562565720294427}, {\"nom_5\": \"b2894f509\", \"support\": 951, \"avg_response\": 0.15352260778128285}, {\"nom_5\": \"124963b67\", \"support\": 950, \"avg_response\": 0.17894736842105263}, {\"nom_5\": \"edd08fbe3\", \"support\": 948, \"avg_response\": 0.1909282700421941}, {\"nom_5\": \"094b85efd\", \"support\": 947, \"avg_response\": 0.17317845828933473}, {\"nom_5\": \"bcdb1d6a1\", \"support\": 947, \"avg_response\": 0.17317845828933473}, {\"nom_5\": \"691ebeae8\", \"support\": 945, \"avg_response\": 0.17566137566137566}, {\"nom_5\": \"3ad40eeef\", \"support\": 945, \"avg_response\": 0.17142857142857143}, {\"nom_5\": \"b33e135b5\", \"support\": 944, \"avg_response\": 0.2076271186440678}, {\"nom_5\": \"03ea75c83\", \"support\": 942, \"avg_response\": 0.1740976645435244}, {\"nom_5\": \"c8a903ab9\", \"support\": 941, \"avg_response\": 0.1902231668437832}, {\"nom_5\": \"4d701cd2a\", \"support\": 941, \"avg_response\": 0.1891604675876727}, {\"nom_5\": \"207bec5ff\", \"support\": 941, \"avg_response\": 0.17003188097768332}, {\"nom_5\": \"606509f50\", \"support\": 940, \"avg_response\": 0.1797872340425532}, {\"nom_5\": \"8e0f7217a\", \"support\": 938, \"avg_response\": 0.18443496801705758}, {\"nom_5\": \"b8f70e10b\", \"support\": 936, \"avg_response\": 0.18162393162393162}, {\"nom_5\": \"9e0154a54\", \"support\": 934, \"avg_response\": 0.17130620985010706}, {\"nom_5\": \"0d475c15f\", \"support\": 933, \"avg_response\": 0.1682743837084673}, {\"nom_5\": \"7d6c0cf07\", \"support\": 931, \"avg_response\": 0.17293233082706766}, {\"nom_5\": \"e32849ce1\", \"support\": 929, \"avg_response\": 0.1969860064585576}, {\"nom_5\": \"c9b03bd0c\", \"support\": 928, \"avg_response\": 0.1875}, {\"nom_5\": \"e59e8fd3d\", \"support\": 927, \"avg_response\": 0.19848975188781015}, {\"nom_5\": \"52e987509\", \"support\": 927, \"avg_response\": 0.15857605177993528}, {\"nom_5\": \"f6b42c759\", \"support\": 926, \"avg_response\": 0.19654427645788336}, {\"nom_5\": \"58782c7b9\", \"support\": 926, \"avg_response\": 0.19330453563714903}, {\"nom_5\": \"87a5be0d7\", \"support\": 926, \"avg_response\": 0.19330453563714903}, {\"nom_5\": \"46c8b3030\", \"support\": 926, \"avg_response\": 0.18898488120950324}, {\"nom_5\": \"5f8c6ca1a\", \"support\": 925, \"avg_response\": 0.1827027027027027}, {\"nom_5\": \"e7678ee64\", \"support\": 925, \"avg_response\": 0.15783783783783784}, {\"nom_5\": \"9fefbc314\", \"support\": 924, \"avg_response\": 0.17316017316017315}, {\"nom_5\": \"80d6d3ab6\", \"support\": 924, \"avg_response\": 0.16774891774891776}, {\"nom_5\": \"3f14198bd\", \"support\": 919, \"avg_response\": 0.2132752992383025}, {\"nom_5\": \"1c3a52291\", \"support\": 917, \"avg_response\": 0.1766630316248637}, {\"nom_5\": \"edc3d5f4b\", \"support\": 915, \"avg_response\": 0.17049180327868851}, {\"nom_5\": \"2f22d032b\", \"support\": 912, \"avg_response\": 0.1875}, {\"nom_5\": \"ab5c1b5c0\", \"support\": 911, \"avg_response\": 0.1778265642151482}, {\"nom_5\": \"39879cc3e\", \"support\": 911, \"avg_response\": 0.16355653128430298}, {\"nom_5\": \"26acbddc6\", \"support\": 910, \"avg_response\": 0.1824175824175824}, {\"nom_5\": \"da5086f63\", \"support\": 909, \"avg_response\": 0.18811881188118812}, {\"nom_5\": \"c9a851f11\", \"support\": 909, \"avg_response\": 0.18701870187018702}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 438.1}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0057483ef371cdea/run_manifest.json

@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:13:17.375976+00:00",
+  "ended_at": "2026-05-19T16:13:17.818344+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0057483ef371cdea",
+    "problem_id": "v2p_c15_78a24c7a41d61841",
+    "dataset_id": "c15",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bin_1, key_col=nom_5.",
+    "bindings": {
+      "key_col": "nom_5",
+      "measure_col": "bin_1",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_0057483ef371cdea.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0057483ef371cdea/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_1.
+Result preview: [{"bin_3": "F", "nom_1": "Triangle", "row_count": 15420}, {"bin_3": "F", "nom_1": "Polygon", "row_count": 14247}, {"bin_3": "F", "nom_1": "Trapezoid", "row_count": 11103}, {"bin_3": "F", "nom_1": "Circle", "row_count": 9613}, {"bin_3": "T", "nom_1": "Triangle", "row_count": 9008}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_c15_00963bbb241f6571
+-- problem_id: v2p_c15_624768349f33fcdb
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "bin_3", "nom_1", COUNT(*) AS row_count
+FROM "c15"
+WHERE CAST("id" AS REAL) >= 509036.0
+GROUP BY "bin_3", "nom_1"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_1\", COUNT(*) AS row_count\nFROM \"c15\"\nWHERE CAST(\"id\" AS REAL) >= 509036.0\nGROUP BY \"bin_3\", \"nom_1\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_1\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 509036.0\\nGROUP BY \\\"bin_3\\\", \\\"nom_1\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"bin_3\", \"nom_1\", \"row_count\"], \"rows\": [{\"bin_3\": \"F\", \"nom_1\": \"Triangle\", \"row_count\": 15420}, {\"bin_3\": \"F\", \"nom_1\": \"Polygon\", \"row_count\": 14247}, {\"bin_3\": \"F\", \"nom_1\": \"Trapezoid\", \"row_count\": 11103}, {\"bin_3\": \"F\", \"nom_1\": \"Circle\", \"row_count\": 9613}, {\"bin_3\": \"T\", \"nom_1\": \"Triangle\", \"row_count\": 9008}, {\"bin_3\": \"T\", \"nom_1\": \"Polygon\", \"row_count\": 8129}, {\"bin_3\": \"T\", \"nom_1\": \"Trapezoid\", \"row_count\": 6485}, {\"bin_3\": \"T\", \"nom_1\": \"Circle\", \"row_count\": 5618}, {\"bin_3\": \"F\", \"nom_1\": \"Square\", \"row_count\": 2412}, {\"bin_3\": \"F\", \"nom_1\": \"\", \"row_count\": 1656}, {\"bin_3\": \"T\", \"nom_1\": \"Square\", \"row_count\": 1442}, {\"bin_3\": \"F\", \"nom_1\": \"Star\", \"row_count\": 1287}, {\"bin_3\": \"T\", \"nom_1\": \"\", \"row_count\": 955}, {\"bin_3\": \"T\", \"nom_1\": \"Star\", \"row_count\": 872}, {\"bin_3\": \"\", \"nom_1\": \"Triangle\", \"row_count\": 715}, {\"bin_3\": \"\", \"nom_1\": \"Polygon\", \"row_count\": 693}, {\"bin_3\": \"\", \"nom_1\": \"Trapezoid\", \"row_count\": 524}, {\"bin_3\": \"\", \"nom_1\": \"Circle\", \"row_count\": 516}, {\"bin_3\": \"\", \"nom_1\": \"Square\", \"row_count\": 115}, {\"bin_3\": \"\", \"nom_1\": \"\", \"row_count\": 87}, {\"bin_3\": \"\", \"nom_1\": \"Star\", \"row_count\": 67}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 160.39}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T15:46:33.934724+00:00",
+  "ended_at": "2026-05-19T15:46:53.234246+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_00963bbb241f6571",
+    "problem_id": "v2p_c15_624768349f33fcdb",
+    "dataset_id": "c15",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_1.",
+    "bindings": {
+      "group_col": "bin_3",
+      "group_col_2": "nom_1",
+      "predicate_col": "id",
+      "predicate_op": ">=",
+      "predicate_value": 509036.0,
+      "top_k": 10,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=50"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_00963bbb241f6571.sql",
+  "usage_summary": {
+    "dataset_id": "c15",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c15_00963bbb241f6571",
+    "api_calls": 0,
+    "input_tokens": 16155,
+    "cached_input_tokens": 12032,
+    "output_tokens": 659,
+    "total_tokens": 16814,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 19101.63,
+    "sql_execution_elapsed_ms_total": 160.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:53.071375+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19101.63, "started_at": "2026-05-19T15:46:33.968747+00:00", "ended_at": "2026-05-19T15:46:53.070417+00:00", "prompt_metrics": {"chars": 12590, "bytes_utf8": 12590, "lines": 400, "estimated_tokens": null}, "response_metrics": {"chars": 486, "bytes_utf8": 486, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16155, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_1\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 509036.0\\nGROUP BY \\\"bin_3\\\", \\\"nom_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Instantiated the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_1\\\", and predicate on \\\"id\\\". Used CAST(\\\"id\\\" AS REAL) because the schema stores \\\"id\\\" as TEXT while the bound predicate value is numeric.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c15",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c15_00963bbb241f6571",
+  "api_calls": 0,
+  "input_tokens": 16155,
+  "cached_input_tokens": 12032,
+  "output_tokens": 659,
+  "total_tokens": 16814,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 19101.63,
+  "sql_execution_elapsed_ms_total": 160.39,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0284b11b47457142/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0284b11b47457142/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_c15_0284b11b47457142
+-- problem_id: v2p_c15_8153f8b35a288a26
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "ord_0" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "ord_0" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c15";

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0284b11b47457142/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_0284b11b47457142\n-- problem_id: v2p_c15_8153f8b35a288a26\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"ord_0\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"ord_0\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_0284b11b47457142\\n-- problem_id: v2p_c15_8153f8b35a288a26\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"ord_0\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"ord_0\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 103.91}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0284b11b47457142/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:13:01.124950+00:00",
+  "ended_at": "2026-05-19T16:13:01.229803+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0284b11b47457142",
+    "problem_id": "v2p_c15_8153f8b35a288a26",
+    "dataset_id": "c15",
+    "template_id": "tpl_missing_marginal_rate_profile",
+    "template_name": "Marginal Missing Rate Profile",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "marginal_missing_rate_consistency",
+    "intended_facet_id": "missing_indicator_distribution",
+    "variant_semantic_role": "missing_indicator_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=ord_0.",
+    "bindings": {
+      "missing_col": "ord_0"
+    },
+    "binding_roles": [
+      "missing_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};",
+    "notes": [
+      "default_facets=missing_indicator_distribution",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_0284b11b47457142.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0284b11b47457142/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:09:28.444109+00:00",
+  "ended_at": "2026-05-19T16:09:36.051742+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_066dabea71ae6988",
+    "problem_id": "v2p_c15_bdda71d8d307c63e",
+    "dataset_id": "c15",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=day.",
+    "bindings": {
+      "group_col": "day",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2.5,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=123"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:09:31.603562+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3127.9, "started_at": "2026-05-19T16:09:28.474944+00:00", "ended_at": "2026-05-19T16:09:31.602867+00:00", "prompt_metrics": {"chars": 12271, "bytes_utf8": 12271, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-d5ae-7ef2-b478-06455afde665\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:09:36.051642+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3446.08, "started_at": "2026-05-19T16:09:32.604656+00:00", "ended_at": "2026-05-19T16:09:36.050777+00:00", "prompt_metrics": {"chars": 12271, "bytes_utf8": 12271, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-e5dc-7cc3-a5db-7dca88474d05\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0705bb9f6550b958/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"bin_0": "0.0", "total_rows": 528377, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "1.0", "total_rows": 53729, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "", "total_rows": 17894, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0705bb9f6550b958/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_c15_0705bb9f6550b958
+-- problem_id: v2p_c15_81ad693d0425d9ac
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "bin_0",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "day" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "day" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c15"
+GROUP BY "bin_0"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0705bb9f6550b958/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_c15_0705bb9f6550b958\n-- problem_id: v2p_c15_81ad693d0425d9ac\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"bin_0\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"day\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"day\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_c15_0705bb9f6550b958\\n-- problem_id: v2p_c15_81ad693d0425d9ac\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"bin_0\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"day\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"day\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_0\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_0\": \"0.0\", \"total_rows\": 528377, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"1.0\", \"total_rows\": 53729, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"\", \"total_rows\": 17894, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 298.48}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0705bb9f6550b958/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:13:09.572118+00:00",
+  "ended_at": "2026-05-19T16:13:09.871806+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0705bb9f6550b958",
+    "problem_id": "v2p_c15_81ad693d0425d9ac",
+    "dataset_id": "c15",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=bin_0, missing_col=day.",
+    "bindings": {
+      "missing_col": "day",
+      "target_col": "bin_0"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_0705bb9f6550b958.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0705bb9f6550b958/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2.
+Result preview: [{"nom_1": "", "condition_ratio": 1.1930168693605336}, {"nom_1": "Triangle", "condition_ratio": 1.1678144887106616}, {"nom_1": "Circle", "condition_ratio": 1.157659488013003}, {"nom_1": "Trapezoid", "condition_ratio": 1.1470727380248373}, {"nom_1": "Polygon", "condition_ratio": 1.1416647557899564}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c15_077cebfa628cef23
+-- problem_id: v2p_c15_1ad1ef76b15bcef9
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "nom_1",
+        SUM(CASE WHEN "ord_2" = 'Cold' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "ord_2" = 'Boiling Hot' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "c15"
+    GROUP BY "nom_1"
+)
+SELECT
+    "nom_1",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n    SELECT\n        \"nom_1\",\n        SUM(CASE WHEN \"ord_2\" = 'Cold' THEN 1 ELSE 0 END) AS \"numerator_count\",\n        SUM(CASE WHEN \"ord_2\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \"denominator_count\"\n    FROM \"c15\"\n    GROUP BY \"nom_1\"\n)\nSELECT\n    \"nom_1\",\n    CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"nom_1\\\",\\n        SUM(CASE WHEN \\\"ord_2\\\" = 'Cold' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c15\\\"\\n    GROUP BY \\\"nom_1\\\"\\n)\\nSELECT\\n    \\\"nom_1\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"nom_1\", \"condition_ratio\"], \"rows\": [{\"nom_1\": \"\", \"condition_ratio\": 1.1930168693605336}, {\"nom_1\": \"Triangle\", \"condition_ratio\": 1.1678144887106616}, {\"nom_1\": \"Circle\", \"condition_ratio\": 1.157659488013003}, {\"nom_1\": \"Trapezoid\", \"condition_ratio\": 1.1470727380248373}, {\"nom_1\": \"Polygon\", \"condition_ratio\": 1.1416647557899564}, {\"nom_1\": \"Square\", \"condition_ratio\": 1.1406332453825858}, {\"nom_1\": \"Star\", \"condition_ratio\": 1.1247534516765285}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 395.3}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T15:44:58.520354+00:00",
+  "ended_at": "2026-05-19T15:45:20.440870+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_077cebfa628cef23",
+    "problem_id": "v2p_c15_1ad1ef76b15bcef9",
+    "dataset_id": "c15",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2.",
+    "bindings": {
+      "group_col": "nom_1",
+      "condition_col": "ord_2",
+      "condition_value": "Cold",
+      "positive_value": "Cold",
+      "negative_value": "Boiling Hot",
+      "top_k": 12,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 509036.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=42"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_077cebfa628cef23.sql",
+  "usage_summary": {
+    "dataset_id": "c15",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c15_077cebfa628cef23",
+    "api_calls": 0,
+    "input_tokens": 16272,
+    "cached_input_tokens": 12032,
+    "output_tokens": 728,
+    "total_tokens": 17000,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 21486.64,
+    "sql_execution_elapsed_ms_total": 395.3,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:20.042971+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21486.64, "started_at": "2026-05-19T15:44:58.554976+00:00", "ended_at": "2026-05-19T15:45:20.041842+00:00", "prompt_metrics": {"chars": 13107, "bytes_utf8": 13107, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 702, "bytes_utf8": 702, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16272, "cached_input_tokens": 12032, "output_tokens": 728, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"nom_1\\\",\\n        SUM(CASE WHEN \\\"ord_2\\\" = 'Cold' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c15\\\"\\n    GROUP BY \\\"nom_1\\\"\\n)\\nSELECT\\n    \\\"nom_1\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Grouped ratio template instantiated with group_col=nom_1 and condition_col=ord_2, measuring the Cold-to-Boiling Hot count ratio per nom_1 value. NULLIF prevents division by zero.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c15",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c15_077cebfa628cef23",
+  "api_calls": 0,
+  "input_tokens": 16272,
+  "cached_input_tokens": 12032,
+  "output_tokens": 728,
+  "total_tokens": 17000,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 21486.64,
+  "sql_execution_elapsed_ms_total": 395.3,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:05:04.305855+00:00",
+  "ended_at": "2026-05-19T16:05:12.108905+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_08a0ff16f243c946",
+    "problem_id": "v2p_c15_066cb99f850e1a51",
+    "dataset_id": "c15",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3.",
+    "bindings": {
+      "group_col": "nom_3",
+      "condition_col": "nom_3",
+      "condition_value": "Costa Rica",
+      "positive_value": "Costa Rica",
+      "negative_value": "India",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 509036.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:07.858286+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3521.48, "started_at": "2026-05-19T16:05:04.336014+00:00", "ended_at": "2026-05-19T16:05:07.857519+00:00", "prompt_metrics": {"chars": 12557, "bytes_utf8": 12557, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-cdda-7533-a9e9-80deb427cb33\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:12.108821+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3248.42, "started_at": "2026-05-19T16:05:08.859682+00:00", "ended_at": "2026-05-19T16:05:12.108136+00:00", "prompt_metrics": {"chars": 12557, "bytes_utf8": 12557, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-df8c-7701-af54-d0acbe8790ca\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:10:12.655604+00:00",
+  "ended_at": "2026-05-19T16:10:21.355031+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0cee3bbc9b500f07",
+    "problem_id": "v2p_c15_4eb963ca86b1150c",
+    "dataset_id": "c15",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=bin_0.",
+    "bindings": {
+      "group_col": "bin_0",
+      "top_k": 11,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 509036.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:10:17.534965+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4843.14, "started_at": "2026-05-19T16:10:12.691135+00:00", "ended_at": "2026-05-19T16:10:17.534306+00:00", "prompt_metrics": {"chars": 12280, "bytes_utf8": 12280, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-8253-77c1-960b-332a0b575562\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:10:21.354927+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2817.37, "started_at": "2026-05-19T16:10:18.536740+00:00", "ended_at": "2026-05-19T16:10:21.354159+00:00", "prompt_metrics": {"chars": 12280, "bytes_utf8": 12280, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-991e-7882-b2d6-2a88e1b46a17\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T15:54:28.247758+00:00",
+  "ended_at": "2026-05-19T15:54:35.500906+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0d6c387cf28fea8f",
+    "problem_id": "v2p_c15_6c29a70f34882e34",
+    "dataset_id": "c15",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_2, measure_col=bin_1.",
+    "bindings": {
+      "group_col": "nom_2",
+      "measure_col": "bin_1",
+      "top_k": 19,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.66,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=79"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:54:31.605684+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3326.87, "started_at": "2026-05-19T15:54:28.278015+00:00", "ended_at": "2026-05-19T15:54:31.604921+00:00", "prompt_metrics": {"chars": 12837, "bytes_utf8": 12837, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-1945-7b13-bfb8-4476b0044852\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:54:35.500818+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2892.62, "started_at": "2026-05-19T15:54:32.607422+00:00", "ended_at": "2026-05-19T15:54:35.500092+00:00", "prompt_metrics": {"chars": 12837, "bytes_utf8": 12837, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-2a28-7e30-8f8a-2b47464fb874\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0e1a523eeea5c7f1/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Hamster", "support": 164897, "support_share": 0.27482833333333334, "cumulative_support": 164897}, {"value_label": "Axolotl", "support": 152319, "support_share": 0.253865, "cumulative_support": 317216}, {"value_label": "Lion", "support": 119504, "support_share": 0.19917333333333334, "cumulative_support": 436720}, {"value_label": "Dog", "support": 104825, "support_share": 0.17470833333333333, "cumulative_support": 541545}, {"value_label": "Cat", "support": 26276, "support_share": 0.04379333333333333, "cumulative_support": 567821}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0e1a523eeea5c7f1/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_c15_0e1a523eeea5c7f1
+-- problem_id: v2p_c15_6f1fed4ec04ae3d1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "nom_2" AS value_label, COUNT(*) AS support
+    FROM "c15"
+    GROUP BY "nom_2"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0e1a523eeea5c7f1/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c15_0e1a523eeea5c7f1\n-- problem_id: v2p_c15_6f1fed4ec04ae3d1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"nom_2\" AS value_label, COUNT(*) AS support\n    FROM \"c15\"\n    GROUP BY \"nom_2\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c15_0e1a523eeea5c7f1\\n-- problem_id: v2p_c15_6f1fed4ec04ae3d1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"nom_2\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c15\\\"\\n    GROUP BY \\\"nom_2\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Hamster\", \"support\": 164897, \"support_share\": 0.27482833333333334, \"cumulative_support\": 164897}, {\"value_label\": \"Axolotl\", \"support\": 152319, \"support_share\": 0.253865, \"cumulative_support\": 317216}, {\"value_label\": \"Lion\", \"support\": 119504, \"support_share\": 0.19917333333333334, \"cumulative_support\": 436720}, {\"value_label\": \"Dog\", \"support\": 104825, \"support_share\": 0.17470833333333333, \"cumulative_support\": 541545}, {\"value_label\": \"Cat\", \"support\": 26276, \"support_share\": 0.04379333333333333, \"cumulative_support\": 567821}, {\"value_label\": \"\", \"support\": 18035, \"support_share\": 0.030058333333333333, \"cumulative_support\": 585856}, {\"value_label\": \"Snake\", \"support\": 14144, \"support_share\": 0.023573333333333335, \"cumulative_support\": 600000}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 287.17}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0e1a523eeea5c7f1/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T16:13:11.053784+00:00",
+  "ended_at": "2026-05-19T16:13:11.342149+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_0e1a523eeea5c7f1",
+    "problem_id": "v2p_c15_6f1fed4ec04ae3d1",
+    "dataset_id": "c15",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=nom_2.",
+    "bindings": {
+      "group_col": "nom_2"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_0e1a523eeea5c7f1.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0e1a523eeea5c7f1/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=bin_2.
+Result preview: [{"day": "7.0", "percentile_measure": 1.0}, {"day": "6.0", "percentile_measure": 1.0}, {"day": "5.0", "percentile_measure": 1.0}, {"day": "4.0", "percentile_measure": 1.0}, {"day": "3.0", "percentile_measure": 1.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/generated_sql.sql

@@ -0,0 +1,38 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c15_1344c21725fcec52
+-- problem_id: v2p_c15_5a8a3ca34a10a226
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "day",
+    CAST("bin_2" AS REAL) AS "measure_value"
+  FROM "c15"
+  WHERE "day" IS NOT NULL
+    AND "day" <> ''
+    AND "bin_2" IS NOT NULL
+    AND "bin_2" <> ''
+),
+"ranked" AS (
+  SELECT
+    "day",
+    "measure_value",
+    ROW_NUMBER() OVER (PARTITION BY "day" ORDER BY "measure_value") AS "rn",
+    COUNT(*) OVER (PARTITION BY "day") AS "cnt"
+  FROM "base"
+)
+SELECT
+  "day",
+  MIN("measure_value") AS "percentile_measure"
+FROM "ranked"
+WHERE 10 * "rn" >= 9 * "cnt"
+GROUP BY "day"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"day\",\n    CAST(\"bin_2\" AS REAL) AS \"measure_value\"\n  FROM \"c15\"\n  WHERE \"day\" IS NOT NULL\n    AND \"day\" <> ''\n    AND \"bin_2\" IS NOT NULL\n    AND \"bin_2\" <> ''\n),\n\"ranked\" AS (\n  SELECT\n    \"day\",\n    \"measure_value\",\n    ROW_NUMBER() OVER (PARTITION BY \"day\" ORDER BY \"measure_value\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"day\") AS \"cnt\"\n  FROM \"base\"\n)\nSELECT\n  \"day\",\n  MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE 10 * \"rn\" >= 9 * \"cnt\"\nGROUP BY \"day\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"day\\\",\\n    CAST(\\\"bin_2\\\" AS REAL) AS \\\"measure_value\\\"\\n  FROM \\\"c15\\\"\\n  WHERE \\\"day\\\" IS NOT NULL\\n    AND \\\"day\\\" <> ''\\n    AND \\\"bin_2\\\" IS NOT NULL\\n    AND \\\"bin_2\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"day\\\",\\n    \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"day\\\" ORDER BY \\\"measure_value\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"day\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n)\\nSELECT\\n  \\\"day\\\",\\n  MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE 10 * \\\"rn\\\" >= 9 * \\\"cnt\\\"\\nGROUP BY \\\"day\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"day\", \"percentile_measure\"], \"rows\": [{\"day\": \"7.0\", \"percentile_measure\": 1.0}, {\"day\": \"6.0\", \"percentile_measure\": 1.0}, {\"day\": \"5.0\", \"percentile_measure\": 1.0}, {\"day\": \"4.0\", \"percentile_measure\": 1.0}, {\"day\": \"3.0\", \"percentile_measure\": 1.0}, {\"day\": \"2.0\", \"percentile_measure\": 1.0}, {\"day\": \"1.0\", \"percentile_measure\": 1.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1459.67}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T15:58:28.522900+00:00",
+  "ended_at": "2026-05-19T15:58:58.040535+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_1344c21725fcec52",
+    "problem_id": "v2p_c15_5a8a3ca34a10a226",
+    "dataset_id": "c15",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=bin_2.",
+    "bindings": {
+      "group_col": "day",
+      "measure_col": "bin_2",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=87"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_1344c21725fcec52.sql",
+  "usage_summary": {
+    "dataset_id": "c15",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c15_1344c21725fcec52",
+    "api_calls": 0,
+    "input_tokens": 16094,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1276,
+    "total_tokens": 17370,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 27021.57,
+    "sql_execution_elapsed_ms_total": 1459.67,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:58:31.579570+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3025.86, "started_at": "2026-05-19T15:58:28.552978+00:00", "ended_at": "2026-05-19T15:58:31.578869+00:00", "prompt_metrics": {"chars": 12454, "bytes_utf8": 12454, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-c3f5-7751-97ef-06d8d945a469\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:58:56.578728+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23995.71, "started_at": "2026-05-19T15:58:32.581025+00:00", "ended_at": "2026-05-19T15:58:56.576781+00:00", "prompt_metrics": {"chars": 12454, "bytes_utf8": 12454, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 853, "bytes_utf8": 853, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16094, "cached_input_tokens": 12032, "output_tokens": 1276, "reasoning_output_tokens": 1008}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"day\\\",\\n    CAST(\\\"bin_2\\\" AS REAL) AS \\\"measure_value\\\"\\n  FROM \\\"c15\\\"\\n  WHERE \\\"day\\\" IS NOT NULL\\n    AND \\\"day\\\" <> ''\\n    AND \\\"bin_2\\\" IS NOT NULL\\n    AND \\\"bin_2\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"day\\\",\\n    \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"day\\\" ORDER BY \\\"measure_value\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"day\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n)\\nSELECT\\n  \\\"day\\\",\\n  MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE 10 * \\\"rn\\\" >= 9 * \\\"cnt\\\"\\nGROUP BY \\\"day\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile approximation per \\\"day\\\" over CAST(\\\"bin_2\\\" AS REAL), excluding blank values.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c15",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c15_1344c21725fcec52",
+  "api_calls": 0,
+  "input_tokens": 16094,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1276,
+  "total_tokens": 17370,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 27021.57,
+  "sql_execution_elapsed_ms_total": 1459.67,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=bin_0.
+Result preview: [{"ord_3": "o", "percentile_measure": 1.0}, {"ord_3": "n", "percentile_measure": 1.0}, {"ord_3": "m", "percentile_measure": 1.0}, {"ord_3": "l", "percentile_measure": 1.0}, {"ord_3": "k", "percentile_measure": 1.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/generated_sql.sql

@@ -0,0 +1,40 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c15
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c15_14789c6082799abd
+-- problem_id: v2p_c15_8dd8390751ec8b02
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "ord_3" AS "group_col",
+    CAST("bin_0" AS REAL) AS "measure_col"
+  FROM "c15"
+  WHERE NULLIF("bin_0", '') IS NOT NULL
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (
+      PARTITION BY "group_col"
+      ORDER BY "measure_col"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "group_col"
+    ) AS "cnt"
+  FROM "base"
+)
+SELECT
+  "group_col" AS "ord_3",
+  MIN("measure_col") AS "percentile_measure"
+FROM "ranked"
+WHERE "rn" >= CEIL(0.95 * "cnt")
+GROUP BY "group_col"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"ord_3\" AS \"group_col\",\n    CAST(\"bin_0\" AS REAL) AS \"measure_col\"\n  FROM \"c15\"\n  WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure_col\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"group_col\"\n      ORDER BY \"measure_col\"\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"group_col\"\n    ) AS \"cnt\"\n  FROM \"base\"\n)\nSELECT\n  \"group_col\" AS \"ord_3\",\n  MIN(\"measure_col\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= CEIL(0.95 * \"cnt\")\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"ord_3\\\" AS \\\"group_col\\\",\\n    CAST(\\\"bin_0\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"c15\\\"\\n  WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"group_col\\\"\\n      ORDER BY \\\"measure_col\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"group_col\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"ord_3\\\",\\n  MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= CEIL(0.95 * \\\"cnt\\\")\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"ord_3\", \"percentile_measure\"], \"rows\": [{\"ord_3\": \"o\", \"percentile_measure\": 1.0}, {\"ord_3\": \"n\", \"percentile_measure\": 1.0}, {\"ord_3\": \"m\", \"percentile_measure\": 1.0}, {\"ord_3\": \"l\", \"percentile_measure\": 1.0}, {\"ord_3\": \"k\", \"percentile_measure\": 1.0}, {\"ord_3\": \"j\", \"percentile_measure\": 1.0}, {\"ord_3\": \"i\", \"percentile_measure\": 1.0}, {\"ord_3\": \"h\", \"percentile_measure\": 1.0}, {\"ord_3\": \"g\", \"percentile_measure\": 1.0}, {\"ord_3\": \"f\", \"percentile_measure\": 1.0}, {\"ord_3\": \"e\", \"percentile_measure\": 1.0}, {\"ord_3\": \"d\", \"percentile_measure\": 1.0}, {\"ord_3\": \"c\", \"percentile_measure\": 1.0}, {\"ord_3\": \"b\", \"percentile_measure\": 1.0}, {\"ord_3\": \"a\", \"percentile_measure\": 1.0}, {\"ord_3\": \"\", \"percentile_measure\": 1.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1660.73}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c15",
+  "started_at": "2026-05-19T15:56:47.246672+00:00",
+  "ended_at": "2026-05-19T15:57:08.521749+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c15_14789c6082799abd",
+    "problem_id": "v2p_c15_8dd8390751ec8b02",
+    "dataset_id": "c15",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=bin_0.",
+    "bindings": {
+      "group_col": "ord_3",
+      "measure_col": "bin_0",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.66,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=85"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_14789c6082799abd.sql",
+  "usage_summary": {
+    "dataset_id": "c15",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c15_14789c6082799abd",
+    "api_calls": 0,
+    "input_tokens": 16098,
+    "cached_input_tokens": 15744,
+    "output_tokens": 800,
+    "total_tokens": 16898,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18577.75,
+    "sql_execution_elapsed_ms_total": 1660.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}