Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=attribute3, measure_col=attribute3.
+Result preview: [{"attribute3": "77", "total_measure": 115654.0}, {"attribute3": "81", "total_measure": 97038.0}, {"attribute3": "86", "total_measure": 96234.0}, {"attribute3": "79", "total_measure": 91561.0}, {"attribute3": "76", "total_measure": 75392.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n17_02b125eb23c4f8cb
+-- problem_id: v2p_n17_8de0254a5fc2c918
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "attribute3", SUM(CAST("attribute3" AS REAL)) AS total_measure
+FROM "n17"
+GROUP BY "attribute3"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/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_h2o_group_sum\nSELECT \"attribute3\", SUM(CAST(\"attribute3\" AS REAL)) AS total_measure\nFROM \"n17\"\nGROUP BY \"attribute3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute3\\\", SUM(CAST(\\\"attribute3\\\" AS REAL)) AS total_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"attribute3\", \"total_measure\"], \"rows\": [{\"attribute3\": \"77\", \"total_measure\": 115654.0}, {\"attribute3\": \"81\", \"total_measure\": 97038.0}, {\"attribute3\": \"86\", \"total_measure\": 96234.0}, {\"attribute3\": \"79\", \"total_measure\": 91561.0}, {\"attribute3\": \"76\", \"total_measure\": 75392.0}, {\"attribute3\": \"83\", \"total_measure\": 74866.0}, {\"attribute3\": \"78\", \"total_measure\": 53586.0}, {\"attribute3\": \"88\", \"total_measure\": 50864.0}, {\"attribute3\": \"80\", \"total_measure\": 47520.0}, {\"attribute3\": \"84\", \"total_measure\": 46620.0}, {\"attribute3\": \"82\", \"total_measure\": 44034.0}, {\"attribute3\": \"95\", \"total_measure\": 40945.0}, {\"attribute3\": \"97\", \"total_measure\": 40740.0}, {\"attribute3\": \"87\", \"total_measure\": 33930.0}, {\"attribute3\": \"106\", \"total_measure\": 31164.0}, {\"attribute3\": \"96\", \"total_measure\": 29664.0}, {\"attribute3\": \"85\", \"total_measure\": 28305.0}, {\"attribute3\": \"108\", \"total_measure\": 18252.0}, {\"attribute3\": \"90\", \"total_measure\": 18180.0}, {\"attribute3\": \"75\", \"total_measure\": 18150.0}, {\"attribute3\": \"93\", \"total_measure\": 18135.0}, {\"attribute3\": \"92\", \"total_measure\": 17112.0}, {\"attribute3\": \"104\", \"total_measure\": 16536.0}, {\"attribute3\": \"107\", \"total_measure\": 16371.0}, {\"attribute3\": \"98\", \"total_measure\": 15582.0}, {\"attribute3\": \"102\", \"total_measure\": 14892.0}, {\"attribute3\": \"89\", \"total_measure\": 14863.0}, {\"attribute3\": \"109\", \"total_measure\": 11009.0}, {\"attribute3\": \"91\", \"total_measure\": 9100.0}, {\"attribute3\": \"105\", \"total_measure\": 8400.0}, {\"attribute3\": \"103\", \"total_measure\": 7828.0}, {\"attribute3\": \"100\", \"total_measure\": 7400.0}, {\"attribute3\": \"99\", \"total_measure\": 5841.0}, {\"attribute3\": \"94\", \"total_measure\": 5546.0}, {\"attribute3\": \"74\", \"total_measure\": 3996.0}, {\"attribute3\": \"111\", \"total_measure\": 3663.0}, {\"attribute3\": \"110\", \"total_measure\": 2750.0}, {\"attribute3\": \"112\", \"total_measure\": 1904.0}, {\"attribute3\": \"113\", \"total_measure\": 1808.0}, {\"attribute3\": \"101\", \"total_measure\": 1515.0}, {\"attribute3\": \"71\", \"total_measure\": 355.0}, {\"attribute3\": \"73\", \"total_measure\": 292.0}, {\"attribute3\": \"118\", \"total_measure\": 118.0}, {\"attribute3\": \"72\", \"total_measure\": 72.0}, {\"attribute3\": \"64\", \"total_measure\": 64.0}, {\"attribute3\": \"40\", \"total_measure\": 40.0}], \"row_count_returned\": 46, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.57}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:29:05.995246+00:00",
+  "ended_at": "2026-05-19T15:29:14.866356+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_02b125eb23c4f8cb",
+    "problem_id": "v2p_n17_8de0254a5fc2c918",
+    "dataset_id": "n17",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=attribute3, measure_col=attribute3.",
+    "bindings": {
+      "group_col": "attribute3",
+      "measure_col": "attribute3",
+      "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": 89.0,
+      "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",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=2"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_02b125eb23c4f8cb.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_02b125eb23c4f8cb",
+    "api_calls": 0,
+    "input_tokens": 14031,
+    "cached_input_tokens": 12032,
+    "output_tokens": 264,
+    "total_tokens": 14295,
+    "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": 8850.06,
+    "sql_execution_elapsed_ms_total": 14.57,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:29:14.848737+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": 8850.06, "started_at": "2026-05-19T15:29:05.997103+00:00", "ended_at": "2026-05-19T15:29:14.847208+00:00", "prompt_metrics": {"chars": 6661, "bytes_utf8": 6661, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 389, "bytes_utf8": 389, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14031, "cached_input_tokens": 12032, "output_tokens": 264, "reasoning_output_tokens": 165}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute3\\\", SUM(CAST(\\\"attribute3\\\" AS REAL)) AS total_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \\\"attribute3\\\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_02b125eb23c4f8cb",
+  "api_calls": 0,
+  "input_tokens": 14031,
+  "cached_input_tokens": 12032,
+  "output_tokens": 264,
+  "total_tokens": 14295,
+  "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": 8850.06,
+  "sql_execution_elapsed_ms_total": 14.57,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_02b125eb23c4f8cb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=attribute2, measure_col=attribute5.
+Result preview: [{"attribute2": "16", "attribute6": "0", "total_measure": 28.0, "share_within_group": 466.6666666666667}, {"attribute2": "13", "attribute6": "0", "total_measure": 50.0, "share_within_group": 178.57142857142858}, {"attribute2": "-13", "attribute6": "0", "total_measure": 44.0, "share_within_group": 129.41176470588235}, {"attribute2": "10", "attribute6": "0", "total_measure": 100.0, "share_within_group": 128.2051282051282}, {"attribute2": "-11", "attribute6": "0", "total_measure": 46.0, "share_within_group": 115.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_n17_03872d10f9015523
+-- problem_id: v2p_n17_968ce4dd23167c31
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "attribute2",
+  "attribute6",
+  "total_measure",
+  "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "attribute2") AS "share_within_group"
+FROM (
+  SELECT
+    "attribute2",
+    "attribute6",
+    SUM(CAST("attribute5" AS REAL)) AS "total_measure"
+  FROM "n17"
+  GROUP BY "attribute2", "attribute6"
+)
+ORDER BY "share_within_group" DESC
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/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_tpcds_within_group_share\nSELECT\n  \"attribute2\",\n  \"attribute6\",\n  \"total_measure\",\n  \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"attribute2\") AS \"share_within_group\"\nFROM (\n  SELECT\n    \"attribute2\",\n    \"attribute6\",\n    SUM(CAST(\"attribute5\" AS REAL)) AS \"total_measure\"\n  FROM \"n17\"\n  GROUP BY \"attribute2\", \"attribute6\"\n)\nORDER BY \"share_within_group\" DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"attribute2\\\",\\n  \\\"attribute6\\\",\\n  \\\"total_measure\\\",\\n  \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"attribute2\\\") AS \\\"share_within_group\\\"\\nFROM (\\n  SELECT\\n    \\\"attribute2\\\",\\n    \\\"attribute6\\\",\\n    SUM(CAST(\\\"attribute5\\\" AS REAL)) AS \\\"total_measure\\\"\\n  FROM \\\"n17\\\"\\n  GROUP BY \\\"attribute2\\\", \\\"attribute6\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 16;\", \"columns\": [\"attribute2\", \"attribute6\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"attribute2\": \"16\", \"attribute6\": \"0\", \"total_measure\": 28.0, \"share_within_group\": 466.6666666666667}, {\"attribute2\": \"13\", \"attribute6\": \"0\", \"total_measure\": 50.0, \"share_within_group\": 178.57142857142858}, {\"attribute2\": \"-13\", \"attribute6\": \"0\", \"total_measure\": 44.0, \"share_within_group\": 129.41176470588235}, {\"attribute2\": \"10\", \"attribute6\": \"0\", \"total_measure\": 100.0, \"share_within_group\": 128.2051282051282}, {\"attribute2\": \"-11\", \"attribute6\": \"0\", \"total_measure\": 46.0, \"share_within_group\": 115.0}, {\"attribute2\": \"-44\", \"attribute6\": \"-4\", \"total_measure\": 62.0, \"share_within_group\": 103.33333333333333}, {\"attribute2\": \"-1063\", \"attribute6\": \"-2\", \"total_measure\": 34.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-109\", \"attribute6\": \"0\", \"total_measure\": 46.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-110\", \"attribute6\": \"-3\", \"total_measure\": 34.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-111\", \"attribute6\": \"618\", \"total_measure\": 44.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-14\", \"attribute6\": \"0\", \"total_measure\": 206.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-1521\", \"attribute6\": \"0\", \"total_measure\": 20.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-17\", \"attribute6\": \"-4\", \"total_measure\": 34.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-1865\", \"attribute6\": \"-4\", \"total_measure\": 44.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-19\", \"attribute6\": \"0\", \"total_measure\": 52.0, \"share_within_group\": 100.0}, {\"attribute2\": \"-203\", \"attribute6\": \"8\", \"total_measure\": 36.0, \"share_within_group\": 100.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.63}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:37:04.598473+00:00",
+  "ended_at": "2026-05-19T15:37:17.894605+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_03872d10f9015523",
+    "problem_id": "v2p_n17_968ce4dd23167c31",
+    "dataset_id": "n17",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "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 Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=attribute2, measure_col=attribute5.",
+    "bindings": {
+      "group_col": "attribute2",
+      "measure_col": "attribute5",
+      "item_col": "attribute6",
+      "top_k": 16,
+      "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": 46.0,
+      "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",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_03872d10f9015523.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_03872d10f9015523",
+    "api_calls": 0,
+    "input_tokens": 14150,
+    "cached_input_tokens": 12672,
+    "output_tokens": 713,
+    "total_tokens": 14863,
+    "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": 13258.84,
+    "sql_execution_elapsed_ms_total": 30.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:17.860926+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": 13258.84, "started_at": "2026-05-19T15:37:04.600307+00:00", "ended_at": "2026-05-19T15:37:17.859187+00:00", "prompt_metrics": {"chars": 7075, "bytes_utf8": 7075, "lines": 218, "estimated_tokens": null}, "response_metrics": {"chars": 708, "bytes_utf8": 708, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14150, "cached_input_tokens": 12672, "output_tokens": 713, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"attribute2\\\",\\n  \\\"attribute6\\\",\\n  \\\"total_measure\\\",\\n  \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"attribute2\\\") AS \\\"share_within_group\\\"\\nFROM (\\n  SELECT\\n    \\\"attribute2\\\",\\n    \\\"attribute6\\\",\\n    SUM(CAST(\\\"attribute5\\\" AS REAL)) AS \\\"total_measure\\\"\\n  FROM \\\"n17\\\"\\n  GROUP BY \\\"attribute2\\\", \\\"attribute6\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 16;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"attribute2\\\", item_col=\\\"attribute6\\\", and measure_col=\\\"attribute5\\\". Cast \\\"attribute5\\\" to REAL because the SQLite schema stores numeric fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_03872d10f9015523",
+  "api_calls": 0,
+  "input_tokens": 14150,
+  "cached_input_tokens": 12672,
+  "output_tokens": 713,
+  "total_tokens": 14863,
+  "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": 13258.84,
+  "sql_execution_elapsed_ms_total": 30.63,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03872d10f9015523/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=attribute6.
+Result preview: [{"attribute6": "15164"}, {"attribute6": "12588"}, {"attribute6": "12169"}, {"attribute6": "8098"}, {"attribute6": "3378"}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/generated_sql.sql

@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_n17_05bbc3cf895255e0
+-- problem_id: v2p_n17_e6df79e991a82fdc
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT
+        "attribute6",
+        NTILE(10) OVER (ORDER BY CAST("attribute6" AS REAL) DESC) AS tail_bucket
+    FROM "n17"
+)
+SELECT "attribute6"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("attribute6" AS REAL) DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/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_quantile_tail_slice\nWITH buckets AS (\n    SELECT\n        \"attribute6\",\n        NTILE(10) OVER (ORDER BY CAST(\"attribute6\" AS REAL) DESC) AS tail_bucket\n    FROM \"n17\"\n)\nSELECT \"attribute6\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"attribute6\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT\\n        \\\"attribute6\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"attribute6\\\" AS REAL) DESC) AS tail_bucket\\n    FROM \\\"n17\\\"\\n)\\nSELECT \\\"attribute6\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"attribute6\\\" AS REAL) DESC;\", \"columns\": [\"attribute6\"], \"rows\": [{\"attribute6\": \"15164\"}, {\"attribute6\": \"12588\"}, {\"attribute6\": \"12169\"}, {\"attribute6\": \"8098\"}, {\"attribute6\": \"3378\"}, {\"attribute6\": \"2503\"}, {\"attribute6\": \"1329\"}, {\"attribute6\": \"976\"}, {\"attribute6\": \"889\"}, {\"attribute6\": \"677\"}, {\"attribute6\": \"618\"}, {\"attribute6\": \"571\"}, {\"attribute6\": \"509\"}, {\"attribute6\": \"381\"}, {\"attribute6\": \"276\"}, {\"attribute6\": \"248\"}, {\"attribute6\": \"241\"}, {\"attribute6\": \"221\"}, {\"attribute6\": \"179\"}, {\"attribute6\": \"177\"}, {\"attribute6\": \"177\"}, {\"attribute6\": \"157\"}, {\"attribute6\": \"157\"}, {\"attribute6\": \"143\"}, {\"attribute6\": \"141\"}, {\"attribute6\": \"132\"}, {\"attribute6\": \"132\"}, {\"attribute6\": \"104\"}, {\"attribute6\": \"91\"}, {\"attribute6\": \"86\"}, {\"attribute6\": \"85\"}, {\"attribute6\": \"74\"}, {\"attribute6\": \"69\"}, {\"attribute6\": \"68\"}, {\"attribute6\": \"67\"}, {\"attribute6\": \"66\"}, {\"attribute6\": \"61\"}, {\"attribute6\": \"59\"}, {\"attribute6\": \"58\"}, {\"attribute6\": \"56\"}, {\"attribute6\": \"54\"}, {\"attribute6\": \"50\"}, {\"attribute6\": \"47\"}, {\"attribute6\": \"47\"}, {\"attribute6\": \"46\"}, {\"attribute6\": \"39\"}, {\"attribute6\": \"32\"}, {\"attribute6\": \"32\"}, {\"attribute6\": \"32\"}, {\"attribute6\": \"31\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 35.27}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:44:25.714916+00:00",
+  "ended_at": "2026-05-19T15:44:35.955719+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_05bbc3cf895255e0",
+    "problem_id": "v2p_n17_e6df79e991a82fdc",
+    "dataset_id": "n17",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "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 Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=attribute6.",
+    "bindings": {
+      "measure_col": "attribute6",
+      "top_k": 13,
+      "top_n": 3,
+      "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": 6.0,
+      "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": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1",
+      "binding_index=68"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "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_d/n17/sql/v2q_n17_05bbc3cf895255e0.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_05bbc3cf895255e0",
+    "api_calls": 0,
+    "input_tokens": 14084,
+    "cached_input_tokens": 12672,
+    "output_tokens": 379,
+    "total_tokens": 14463,
+    "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": 10199.81,
+    "sql_execution_elapsed_ms_total": 35.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:44:35.917436+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": 10199.81, "started_at": "2026-05-19T15:44:25.716580+00:00", "ended_at": "2026-05-19T15:44:35.916424+00:00", "prompt_metrics": {"chars": 6827, "bytes_utf8": 6827, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14084, "cached_input_tokens": 12672, "output_tokens": 379, "reasoning_output_tokens": 226}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT\\n        \\\"attribute6\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"attribute6\\\" AS REAL) DESC) AS tail_bucket\\n    FROM \\\"n17\\\"\\n)\\nSELECT \\\"attribute6\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"attribute6\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"attribute6\\\" and num_tiles=10. CAST(\\\"attribute6\\\" AS REAL) is used because the SQLite schema stores this numeric field as TEXT, and numeric ordering is required for the tail slice.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_05bbc3cf895255e0",
+  "api_calls": 0,
+  "input_tokens": 14084,
+  "cached_input_tokens": 12672,
+  "output_tokens": 379,
+  "total_tokens": 14463,
+  "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": 10199.81,
+  "sql_execution_elapsed_ms_total": 35.27,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_05bbc3cf895255e0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=attribute2, condition_col=class.
+Result preview: [{"attribute2": "10", "condition_rate": 0.6666666666666666}, {"attribute2": "-7", "condition_rate": 0.5}, {"attribute2": "9", "condition_rate": 0.42857142857142855}, {"attribute2": "8", "condition_rate": 0.4}, {"attribute2": "7", "condition_rate": 0.375}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_n17_06cc20866fe8b1ed
+-- problem_id: v2p_n17_f51ce9f5f0ce366e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "attribute2",
+       AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate
+FROM "n17"
+GROUP BY "attribute2"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/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_condition_rate\nSELECT \"attribute2\",\n       AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n17\"\nGROUP BY \"attribute2\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"attribute2\\\",\\n       AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute2\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"attribute2\", \"condition_rate\"], \"rows\": [{\"attribute2\": \"10\", \"condition_rate\": 0.6666666666666666}, {\"attribute2\": \"-7\", \"condition_rate\": 0.5}, {\"attribute2\": \"9\", \"condition_rate\": 0.42857142857142855}, {\"attribute2\": \"8\", \"condition_rate\": 0.4}, {\"attribute2\": \"7\", \"condition_rate\": 0.375}, {\"attribute2\": \"-19\", \"condition_rate\": 0.3333333333333333}, {\"attribute2\": \"6\", \"condition_rate\": 0.3076923076923077}, {\"attribute2\": \"11\", \"condition_rate\": 0.25}, {\"attribute2\": \"0\", \"condition_rate\": 0.1865296548642913}, {\"attribute2\": \"-1\", \"condition_rate\": 0.12216216216216216}, {\"attribute2\": \"4\", \"condition_rate\": 0.11160714285714286}, {\"attribute2\": \"-6\", \"condition_rate\": 0.1111111111111111}, {\"attribute2\": \"-3\", \"condition_rate\": 0.10282776349614396}, {\"attribute2\": \"-2\", \"condition_rate\": 0.10108303249097472}, {\"attribute2\": \"3\", \"condition_rate\": 0.09631147540983606}, {\"attribute2\": \"2\", \"condition_rate\": 0.07392996108949416}, {\"attribute2\": \"5\", \"condition_rate\": 0.06904761904761905}, {\"attribute2\": \"1\", \"condition_rate\": 0.060897435897435896}, {\"attribute2\": \"-5\", \"condition_rate\": 0.05357142857142857}, {\"attribute2\": \"-4\", \"condition_rate\": 0.05099150141643059}, {\"attribute2\": \"962\", \"condition_rate\": 0.0}, {\"attribute2\": \"92\", \"condition_rate\": 0.0}, {\"attribute2\": \"78\", \"condition_rate\": 0.0}, {\"attribute2\": \"656\", \"condition_rate\": 0.0}, {\"attribute2\": \"46\", \"condition_rate\": 0.0}, {\"attribute2\": \"4501\", \"condition_rate\": 0.0}, {\"attribute2\": \"45\", \"condition_rate\": 0.0}, {\"attribute2\": \"4400\", \"condition_rate\": 0.0}, {\"attribute2\": \"43\", \"condition_rate\": 0.0}, {\"attribute2\": \"318\", \"condition_rate\": 0.0}, {\"attribute2\": \"31\", \"condition_rate\": 0.0}, {\"attribute2\": \"3049\", \"condition_rate\": 0.0}, {\"attribute2\": \"27\", \"condition_rate\": 0.0}, {\"attribute2\": \"2561\", \"condition_rate\": 0.0}, {\"attribute2\": \"23\", \"condition_rate\": 0.0}, {\"attribute2\": \"22\", \"condition_rate\": 0.0}, {\"attribute2\": \"1963\", \"condition_rate\": 0.0}, {\"attribute2\": \"170\", \"condition_rate\": 0.0}, {\"attribute2\": \"16\", \"condition_rate\": 0.0}, {\"attribute2\": \"1532\", \"condition_rate\": 0.0}, {\"attribute2\": \"136\", \"condition_rate\": 0.0}, {\"attribute2\": \"13\", \"condition_rate\": 0.0}, {\"attribute2\": \"-98\", \"condition_rate\": 0.0}, {\"attribute2\": \"-9\", \"condition_rate\": 0.0}, {\"attribute2\": \"-84\", \"condition_rate\": 0.0}, {\"attribute2\": \"-8\", \"condition_rate\": 0.0}, {\"attribute2\": \"-70\", \"condition_rate\": 0.0}, {\"attribute2\": \"-69\", \"condition_rate\": 0.0}, {\"attribute2\": \"-66\", \"condition_rate\": 0.0}, {\"attribute2\": \"-65\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.17}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:58:43.237914+00:00",
+  "ended_at": "2026-05-19T15:58:51.184688+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_06cc20866fe8b1ed",
+    "problem_id": "v2p_n17_f51ce9f5f0ce366e",
+    "dataset_id": "n17",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "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 direction_consistency with semantic role within_group_proportion. Focus on group_col=attribute2, condition_col=class.",
+    "bindings": {
+      "group_col": "attribute2",
+      "condition_col": "class",
+      "condition_value": "4",
+      "positive_value": "1",
+      "negative_value": "4",
+      "top_k": 16,
+      "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": 89.0,
+      "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=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=101"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 6,
+    "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_d/n17/sql/v2q_n17_06cc20866fe8b1ed.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_06cc20866fe8b1ed",
+    "api_calls": 0,
+    "input_tokens": 14091,
+    "cached_input_tokens": 12032,
+    "output_tokens": 291,
+    "total_tokens": 14382,
+    "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": 7936.08,
+    "sql_execution_elapsed_ms_total": 7.17,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:58:51.175960+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": 7936.08, "started_at": "2026-05-19T15:58:43.239139+00:00", "ended_at": "2026-05-19T15:58:51.175240+00:00", "prompt_metrics": {"chars": 6894, "bytes_utf8": 6894, "lines": 219, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14091, "cached_input_tokens": 12032, "output_tokens": 291, "reasoning_output_tokens": 183}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"attribute2\\\",\\n       AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"attribute2\\\" and condition_col=\\\"class\\\", computing the within-group proportion of rows where class = '4'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_06cc20866fe8b1ed",
+  "api_calls": 0,
+  "input_tokens": 14091,
+  "cached_input_tokens": 12032,
+  "output_tokens": 291,
+  "total_tokens": 14382,
+  "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": 7936.08,
+  "sql_execution_elapsed_ms_total": 7.17,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06cc20866fe8b1ed/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_104e260d03e81225/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"attribute9": "0", "support": 5096, "avg_response": -1.7678571428571428}, {"attribute9": "2", "support": 3716, "avg_response": 0.12298170075349839}, {"attribute9": "4", "support": 427, "avg_response": -3.4004683840749412}, {"attribute9": "6", "support": 420, "avg_response": -0.14761904761904762}, {"attribute9": "8", "support": 412, "avg_response": -0.13592233009708737}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_104e260d03e81225/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- 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_n17_104e260d03e81225
+-- problem_id: v2p_n17_de12697d7de93708
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "attribute9",
+    COUNT(*) AS support,
+    AVG("attribute2") AS avg_response
+FROM "n17"
+GROUP BY "attribute9"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_104e260d03e81225/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_d\n-- sql_source_dataset_id: n17\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_n17_104e260d03e81225\n-- problem_id: v2p_n17_de12697d7de93708\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"attribute9\",\n    COUNT(*) AS support,\n    AVG(\"attribute2\") AS avg_response\nFROM \"n17\"\nGROUP BY \"attribute9\"\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_d\\n-- sql_source_dataset_id: n17\\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_n17_104e260d03e81225\\n-- problem_id: v2p_n17_de12697d7de93708\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"attribute9\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"attribute2\\\") AS avg_response\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute9\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"attribute9\", \"support\", \"avg_response\"], \"rows\": [{\"attribute9\": \"0\", \"support\": 5096, \"avg_response\": -1.7678571428571428}, {\"attribute9\": \"2\", \"support\": 3716, \"avg_response\": 0.12298170075349839}, {\"attribute9\": \"4\", \"support\": 427, \"avg_response\": -3.4004683840749412}, {\"attribute9\": \"6\", \"support\": 420, \"avg_response\": -0.14761904761904762}, {\"attribute9\": \"8\", \"support\": 412, \"avg_response\": -0.13592233009708737}, {\"attribute9\": \"14\", \"support\": 371, \"avg_response\": 0.3504043126684636}, {\"attribute9\": \"12\", \"support\": 309, \"avg_response\": 0.038834951456310676}, {\"attribute9\": \"16\", \"support\": 278, \"avg_response\": -6.474820143884892}, {\"attribute9\": \"10\", \"support\": 214, \"avg_response\": 0.16822429906542055}, {\"attribute9\": \"32\", \"support\": 203, \"avg_response\": -0.03940886699507389}, {\"attribute9\": \"34\", \"support\": 197, \"avg_response\": 9.578680203045685}, {\"attribute9\": \"18\", \"support\": 174, \"avg_response\": -0.08620689655172414}, {\"attribute9\": \"30\", \"support\": 157, \"avg_response\": 9.656050955414013}, {\"attribute9\": \"22\", \"support\": 154, \"avg_response\": 0.2077922077922078}, {\"attribute9\": \"24\", \"support\": 142, \"avg_response\": 0.18309859154929578}, {\"attribute9\": \"40\", \"support\": 133, \"avg_response\": -0.42857142857142855}, {\"attribute9\": \"26\", \"support\": 124, \"avg_response\": -1.3225806451612903}, {\"attribute9\": \"36\", \"support\": 123, \"avg_response\": 0.13008130081300814}, {\"attribute9\": \"28\", \"support\": 108, \"avg_response\": 0.018518518518518517}, {\"attribute9\": \"42\", \"support\": 102, \"avg_response\": -0.7058823529411765}, {\"attribute9\": \"20\", \"support\": 83, \"avg_response\": -0.3855421686746988}, {\"attribute9\": \"58\", \"support\": 74, \"avg_response\": 0.06756756756756757}, {\"attribute9\": \"56\", \"support\": 66, \"avg_response\": 0.12121212121212122}, {\"attribute9\": \"48\", \"support\": 63, \"avg_response\": 38.492063492063494}, {\"attribute9\": \"60\", \"support\": 63, \"avg_response\": 0.5396825396825397}, {\"attribute9\": \"82\", \"support\": 62, \"avg_response\": -0.14516129032258066}, {\"attribute9\": \"46\", \"support\": 61, \"avg_response\": -0.32786885245901637}, {\"attribute9\": \"84\", \"support\": 57, \"avg_response\": 79.08771929824562}, {\"attribute9\": \"62\", \"support\": 57, \"avg_response\": 0.7017543859649122}, {\"attribute9\": \"122\", \"support\": 54, \"avg_response\": 0.6296296296296297}, {\"attribute9\": \"66\", \"support\": 54, \"avg_response\": 0.0}, {\"attribute9\": \"64\", \"support\": 52, \"avg_response\": 0.17307692307692307}, {\"attribute9\": \"50\", \"support\": 51, \"avg_response\": 0.0196078431372549}, {\"attribute9\": \"118\", \"support\": 49, \"avg_response\": 1.3061224489795917}, {\"attribute9\": \"78\", \"support\": 49, \"avg_response\": 0.5918367346938775}, {\"attribute9\": \"120\", \"support\": 48, \"avg_response\": 0.6666666666666666}, {\"attribute9\": \"38\", \"support\": 46, \"avg_response\": 0.32608695652173914}, {\"attribute9\": \"124\", \"support\": 46, \"avg_response\": -0.30434782608695654}, {\"attribute9\": \"76\", \"support\": 45, \"avg_response\": 0.1111111111111111}, {\"attribute9\": \"88\", \"support\": 44, \"avg_response\": 21.727272727272727}, {\"attribute9\": \"74\", \"support\": 42, \"avg_response\": 0.8809523809523809}, {\"attribute9\": \"86\", \"support\": 40, \"avg_response\": 24.575}, {\"attribute9\": \"80\", \"support\": 39, \"avg_response\": 113.43589743589743}, {\"attribute9\": \"68\", \"support\": 36, \"avg_response\": -1.1944444444444444}, {\"attribute9\": \"96\", \"support\": 33, \"avg_response\": -0.12121212121212122}, {\"attribute9\": \"52\", \"support\": 29, \"avg_response\": -0.034482758620689655}, {\"attribute9\": \"72\", \"support\": 27, \"avg_response\": 1.7777777777777777}, {\"attribute9\": \"90\", \"support\": 26, \"avg_response\": -0.038461538461538464}, {\"attribute9\": \"92\", \"support\": 23, \"avg_response\": 0.13043478260869565}, {\"attribute9\": \"70\", \"support\": 22, \"avg_response\": -0.045454545454545456}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.18}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_104e260d03e81225/run_manifest.json

@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T16:06:55.941552+00:00",
+  "ended_at": "2026-05-19T16:06:55.948462+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_104e260d03e81225",
+    "problem_id": "v2p_n17_de12697d7de93708",
+    "dataset_id": "n17",
+    "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=attribute2, key_col=attribute9.",
+    "bindings": {
+      "key_col": "attribute9",
+      "measure_col": "attribute2",
+      "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=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_d/n17/sql/v2q_n17_104e260d03e81225.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_d/n17/artifacts/v2q_n17_104e260d03e81225/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_d/n17/artifacts/v2q_n17_10c95046e2ceea2a/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:57:11.300598+00:00",
+  "ended_at": "2026-05-19T15:57:18.672664+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_10c95046e2ceea2a",
+    "problem_id": "v2p_n17_9414ec323ef18b34",
+    "dataset_id": "n17",
+    "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": "focused_target_view",
+    "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 focused_target_view. Focus on group_col=attribute7, condition_col=class.",
+    "bindings": {
+      "group_col": "attribute7",
+      "condition_col": "class",
+      "condition_value": "4",
+      "positive_value": "1",
+      "negative_value": "4",
+      "top_k": 16,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "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": 42.0,
+      "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=1",
+      "sql_variant_index=2/2",
+      "binding_index=96"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 1,
+    "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_d/n17/artifacts/v2q_n17_10c95046e2ceea2a/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:57:14.468035+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": 3163.37, "started_at": "2026-05-19T15:57:11.302856+00:00", "ended_at": "2026-05-19T15:57:14.466255+00:00", "prompt_metrics": {"chars": 6898, "bytes_utf8": 6898, "lines": 219, "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\":\"019e40f4-9611-7933-89f1-85a316bbcea4\"}\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": "2026-05-19T15:57:18.672580+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": 3202.13, "started_at": "2026-05-19T15:57:15.469652+00:00", "ended_at": "2026-05-19T15:57:18.671831+00:00", "prompt_metrics": {"chars": 6898, "bytes_utf8": 6898, "lines": 219, "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\":\"019e40f4-a664-7463-af7b-15a8bf501621\"}\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_d/n17/artifacts/v2q_n17_110afcf0c463f860/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=attribute3.
+Result preview: [{"attribute3": "77", "row_count": 1502}, {"attribute3": "81", "row_count": 1198}, {"attribute3": "79", "row_count": 1159}, {"attribute3": "86", "row_count": 1119}, {"attribute3": "76", "row_count": 992}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_n17_110afcf0c463f860
+-- problem_id: v2p_n17_4b5e2b874b35b4f1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "attribute3", COUNT(*) AS "row_count"
+FROM "n17"
+GROUP BY "attribute3"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/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_clickbench_group_count\nSELECT \"attribute3\", COUNT(*) AS \"row_count\"\nFROM \"n17\"\nGROUP BY \"attribute3\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"attribute3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"attribute3\", \"row_count\"], \"rows\": [{\"attribute3\": \"77\", \"row_count\": 1502}, {\"attribute3\": \"81\", \"row_count\": 1198}, {\"attribute3\": \"79\", \"row_count\": 1159}, {\"attribute3\": \"86\", \"row_count\": 1119}, {\"attribute3\": \"76\", \"row_count\": 992}, {\"attribute3\": \"83\", \"row_count\": 902}, {\"attribute3\": \"78\", \"row_count\": 687}, {\"attribute3\": \"80\", \"row_count\": 594}, {\"attribute3\": \"88\", \"row_count\": 578}, {\"attribute3\": \"84\", \"row_count\": 555}, {\"attribute3\": \"82\", \"row_count\": 537}, {\"attribute3\": \"95\", \"row_count\": 431}, {\"attribute3\": \"97\", \"row_count\": 420}, {\"attribute3\": \"87\", \"row_count\": 390}, {\"attribute3\": \"85\", \"row_count\": 333}, {\"attribute3\": \"96\", \"row_count\": 309}, {\"attribute3\": \"106\", \"row_count\": 294}, {\"attribute3\": \"75\", \"row_count\": 242}, {\"attribute3\": \"90\", \"row_count\": 202}, {\"attribute3\": \"93\", \"row_count\": 195}, {\"attribute3\": \"92\", \"row_count\": 186}, {\"attribute3\": \"108\", \"row_count\": 169}, {\"attribute3\": \"89\", \"row_count\": 167}, {\"attribute3\": \"98\", \"row_count\": 159}, {\"attribute3\": \"104\", \"row_count\": 159}, {\"attribute3\": \"107\", \"row_count\": 153}, {\"attribute3\": \"102\", \"row_count\": 146}, {\"attribute3\": \"109\", \"row_count\": 101}, {\"attribute3\": \"91\", \"row_count\": 100}, {\"attribute3\": \"105\", \"row_count\": 80}, {\"attribute3\": \"103\", \"row_count\": 76}, {\"attribute3\": \"100\", \"row_count\": 74}, {\"attribute3\": \"99\", \"row_count\": 59}, {\"attribute3\": \"94\", \"row_count\": 59}, {\"attribute3\": \"74\", \"row_count\": 54}, {\"attribute3\": \"111\", \"row_count\": 33}, {\"attribute3\": \"110\", \"row_count\": 25}, {\"attribute3\": \"112\", \"row_count\": 17}, {\"attribute3\": \"113\", \"row_count\": 16}, {\"attribute3\": \"101\", \"row_count\": 15}, {\"attribute3\": \"71\", \"row_count\": 5}, {\"attribute3\": \"73\", \"row_count\": 4}, {\"attribute3\": \"72\", \"row_count\": 1}, {\"attribute3\": \"64\", \"row_count\": 1}, {\"attribute3\": \"40\", \"row_count\": 1}, {\"attribute3\": \"118\", \"row_count\": 1}], \"row_count_returned\": 46, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.31}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:31:53.846893+00:00",
+  "ended_at": "2026-05-19T15:32:03.377970+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_110afcf0c463f860",
+    "problem_id": "v2p_n17_4b5e2b874b35b4f1",
+    "dataset_id": "n17",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "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 Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=attribute3.",
+    "bindings": {
+      "group_col": "attribute3",
+      "top_k": 12,
+      "top_n": 3,
+      "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": 0.0,
+      "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 {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=12"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 1,
+    "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_d/n17/sql/v2q_n17_110afcf0c463f860.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_110afcf0c463f860",
+    "api_calls": 0,
+    "input_tokens": 14004,
+    "cached_input_tokens": 12032,
+    "output_tokens": 241,
+    "total_tokens": 14245,
+    "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": 9522.13,
+    "sql_execution_elapsed_ms_total": 5.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:32:03.371363+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": 9522.13, "started_at": "2026-05-19T15:31:53.848455+00:00", "ended_at": "2026-05-19T15:32:03.370614+00:00", "prompt_metrics": {"chars": 6566, "bytes_utf8": 6566, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 257, "bytes_utf8": 257, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14004, "cached_input_tokens": 12032, "output_tokens": 241, "reasoning_output_tokens": 171}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"attribute3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution over \\\"attribute3\\\" using the provided template.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_110afcf0c463f860",
+  "api_calls": 0,
+  "input_tokens": 14004,
+  "cached_input_tokens": 12032,
+  "output_tokens": 241,
+  "total_tokens": 14245,
+  "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": 9522.13,
+  "sql_execution_elapsed_ms_total": 5.31,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_110afcf0c463f860/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=attribute5.
+Result preview: [{"attribute5": 310.0}, {"attribute5": 98.0}, {"attribute5": 72.0}, {"attribute5": 72.0}, {"attribute5": 72.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_n17_130debd7ad7ecc19
+-- problem_id: v2p_n17_5474ed31d1d4f25e
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT CAST("attribute5" AS REAL) AS "attribute5",
+           NTILE(10) OVER (ORDER BY CAST("attribute5" AS REAL) DESC) AS "tail_bucket"
+    FROM "n17"
+)
+SELECT "attribute5"
+FROM buckets
+WHERE "tail_bucket" = 1
+ORDER BY "attribute5" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/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_quantile_tail_slice\nWITH buckets AS (\n    SELECT CAST(\"attribute5\" AS REAL) AS \"attribute5\",\n           NTILE(10) OVER (ORDER BY CAST(\"attribute5\" AS REAL) DESC) AS \"tail_bucket\"\n    FROM \"n17\"\n)\nSELECT \"attribute5\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"attribute5\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"attribute5\\\" AS REAL) AS \\\"attribute5\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"attribute5\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"n17\\\"\\n)\\nSELECT \\\"attribute5\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"attribute5\\\" DESC;\", \"columns\": [\"attribute5\"], \"rows\": [{\"attribute5\": 310.0}, {\"attribute5\": 98.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}, {\"attribute5\": 72.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 41.57}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:44:09.867083+00:00",
+  "ended_at": "2026-05-19T15:44:25.714034+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_130debd7ad7ecc19",
+    "problem_id": "v2p_n17_5474ed31d1d4f25e",
+    "dataset_id": "n17",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "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 Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=attribute5.",
+    "bindings": {
+      "measure_col": "attribute5",
+      "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": 46.0,
+      "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": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1",
+      "binding_index=67"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 8,
+    "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_d/n17/sql/v2q_n17_130debd7ad7ecc19.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_130debd7ad7ecc19",
+    "api_calls": 0,
+    "input_tokens": 14084,
+    "cached_input_tokens": 12032,
+    "output_tokens": 350,
+    "total_tokens": 14434,
+    "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": 15800.23,
+    "sql_execution_elapsed_ms_total": 41.57,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:44:25.670008+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": 15800.23, "started_at": "2026-05-19T15:44:09.868118+00:00", "ended_at": "2026-05-19T15:44:25.668380+00:00", "prompt_metrics": {"chars": 6827, "bytes_utf8": 6827, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14084, "cached_input_tokens": 12032, "output_tokens": 350, "reasoning_output_tokens": 195}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"attribute5\\\" AS REAL) AS \\\"attribute5\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"attribute5\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"n17\\\"\\n)\\nSELECT \\\"attribute5\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"attribute5\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"attribute5\\\" and num_tiles=10. Cast \\\"attribute5\\\" to REAL because the schema stores numeric fields as TEXT, and numeric ordering is required for the tail slice.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_130debd7ad7ecc19",
+  "api_calls": 0,
+  "input_tokens": 14084,
+  "cached_input_tokens": 12032,
+  "output_tokens": 350,
+  "total_tokens": 14434,
+  "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": 15800.23,
+  "sql_execution_elapsed_ms_total": 41.57,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_130debd7ad7ecc19/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=attribute6, measure_col=attribute4.
+Result preview: [{"attribute6": "0", "group_value": 2047.0}, {"attribute6": "15164", "group_value": 1751.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/generated_sql.sql

@@ -0,0 +1,32 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_n17_14628a7faf8f4754
+-- problem_id: v2p_n17_8d780db7144b007b
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "attribute6",
+        SUM(CAST("attribute4" AS REAL)) AS group_value
+    FROM "n17"
+    WHERE "attribute6" IS NOT NULL
+      AND "attribute4" IS NOT NULL
+    GROUP BY "attribute6"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT
+    g."attribute6",
+    g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.1
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/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_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT\n        \"attribute6\",\n        SUM(CAST(\"attribute4\" AS REAL)) AS group_value\n    FROM \"n17\"\n    WHERE \"attribute6\" IS NOT NULL\n      AND \"attribute4\" IS NOT NULL\n    GROUP BY \"attribute6\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT\n    g.\"attribute6\",\n    g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT\\n        \\\"attribute6\\\",\\n        SUM(CAST(\\\"attribute4\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    WHERE \\\"attribute6\\\" IS NOT NULL\\n      AND \\\"attribute4\\\" IS NOT NULL\\n    GROUP BY \\\"attribute6\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT\\n    g.\\\"attribute6\\\",\\n    g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"attribute6\", \"group_value\"], \"rows\": [{\"attribute6\": \"0\", \"group_value\": 2047.0}, {\"attribute6\": \"15164\", \"group_value\": 1751.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.47}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:46:02.507616+00:00",
+  "ended_at": "2026-05-19T15:46:16.720012+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_14628a7faf8f4754",
+    "problem_id": "v2p_n17_8d780db7144b007b",
+    "dataset_id": "n17",
+    "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": "filtered_stable_view",
+    "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 filtered_stable_view. Focus on group_col=attribute6, measure_col=attribute4.",
+    "bindings": {
+      "group_col": "attribute6",
+      "measure_col": "attribute4",
+      "top_k": 10,
+      "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": 0.0,
+      "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",
+      "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=4",
+      "sql_variant_index=1/2",
+      "binding_index=75"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "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_d/n17/sql/v2q_n17_14628a7faf8f4754.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_14628a7faf8f4754",
+    "api_calls": 0,
+    "input_tokens": 14169,
+    "cached_input_tokens": 12672,
+    "output_tokens": 710,
+    "total_tokens": 14879,
+    "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": 14188.79,
+    "sql_execution_elapsed_ms_total": 17.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:16.699570+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": 14188.79, "started_at": "2026-05-19T15:46:02.509095+00:00", "ended_at": "2026-05-19T15:46:16.697920+00:00", "prompt_metrics": {"chars": 7215, "bytes_utf8": 7215, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 760, "bytes_utf8": 760, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14169, "cached_input_tokens": 12672, "output_tokens": 710, "reasoning_output_tokens": 514}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT\\n        \\\"attribute6\\\",\\n        SUM(CAST(\\\"attribute4\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    WHERE \\\"attribute6\\\" IS NOT NULL\\n      AND \\\"attribute4\\\" IS NOT NULL\\n    GROUP BY \\\"attribute6\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT\\n    g.\\\"attribute6\\\",\\n    g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested Relative-to-Total Extreme Threshold template with group_col=\\\"attribute6\\\" and measure_col=\\\"attribute4\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_14628a7faf8f4754",
+  "api_calls": 0,
+  "input_tokens": 14169,
+  "cached_input_tokens": 12672,
+  "output_tokens": 710,
+  "total_tokens": 14879,
+  "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": 14188.79,
+  "sql_execution_elapsed_ms_total": 17.47,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_14628a7faf8f4754/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_16bcdf4930c79984/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=time.
+Result preview: [{"time": "114", "support": 1}, {"time": "116", "support": 1}, {"time": "121", "support": 1}, {"time": "27", "support": 1}, {"time": "70", "support": 1}]