Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.
+Result preview: [{"Class": "DERMASON", "condition_rate": 1.0}, {"Class": "SIRA", "condition_rate": 0.0}, {"Class": "SEKER", "condition_rate": 0.0}, {"Class": "HOROZ", "condition_rate": 0.0}, {"Class": "CALI", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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: n10
+-- 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_m4_group_condition_rate
+-- query_record_id: v2q_n10_00d23b2d26d79329
+-- problem_id: v2p_n10_c645ea59de3fc205
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Class",
+       AVG(CASE WHEN "Class" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate
+FROM "n10"
+GROUP BY "Class"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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 \"Class\",\n       AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n       AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"DERMASON\", \"condition_rate\": 1.0}, {\"Class\": \"SIRA\", \"condition_rate\": 0.0}, {\"Class\": \"SEKER\", \"condition_rate\": 0.0}, {\"Class\": \"HOROZ\", \"condition_rate\": 0.0}, {\"Class\": \"CALI\", \"condition_rate\": 0.0}, {\"Class\": \"BOMBAY\", \"condition_rate\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.7}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n10",
+  "started_at": "2026-05-19T15:57:53.369914+00:00",
+  "ended_at": "2026-05-19T15:58:01.452258+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n10_00d23b2d26d79329",
+    "problem_id": "v2p_n10_c645ea59de3fc205",
+    "dataset_id": "n10",
+    "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=Class, condition_col=Class.",
+    "bindings": {
+      "group_col": "Class",
+      "condition_col": "Class",
+      "condition_value": "DERMASON",
+      "positive_value": "DERMASON",
+      "negative_value": "SIRA",
+      "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": 376.495012,
+      "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_00d23b2d26d79329.sql",
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_00d23b2d26d79329",
+    "api_calls": 0,
+    "input_tokens": 15453,
+    "cached_input_tokens": 14720,
+    "output_tokens": 299,
+    "total_tokens": 15752,
+    "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": 8069.45,
+    "sql_execution_elapsed_ms_total": 5.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:58:01.444823+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": 8069.45, "started_at": "2026-05-19T15:57:53.374619+00:00", "ended_at": "2026-05-19T15:58:01.444102+00:00", "prompt_metrics": {"chars": 11160, "bytes_utf8": 11160, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 299, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n       AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applies the Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because both roles use the same column, the rate is 1.0 for the DERMASON group and 0.0 for all other classes.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n10_00d23b2d26d79329",
+  "api_calls": 0,
+  "input_tokens": 15453,
+  "cached_input_tokens": 14720,
+  "output_tokens": 299,
+  "total_tokens": 15752,
+  "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": 8069.45,
+  "sql_execution_elapsed_ms_total": 5.7,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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=Class, measure_col=Solidity.
+Result preview: [{"Class": "BOMBAY", "roundness": "0.92688199531597326", "total_measure": 0.9946774999456888, "share_within_group": 0.19308026646844795}, {"Class": "BOMBAY", "roundness": "0.8839761020656679", "total_measure": 0.9940817732784658, "share_within_group": 0.1929646279186104}, {"Class": "BOMBAY", "roundness": "0.87826903225719011", "total_measure": 0.9940491752256458, "share_within_group": 0.19295830019859544}, {"Class": "BOMBAY", "roundness": "0.89809479893722877", "total_measure": 0.9937707547382927, "share_within_group": 0.19290425504135467}, {"Class": "BOMBAY", "roundness": "0.91564960763908165", "total_measure": 0.9936575542232818, "share_within_group": 0.19288228130051518}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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: n10
+-- 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_n10_024ce539bf56dacf
+-- problem_id: v2p_n10_35563b388ff6a05e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "Class",
+  "roundness",
+  SUM(CAST("Solidity" AS REAL)) AS "total_measure",
+  SUM(CAST("Solidity" AS REAL)) * 100.0 / SUM(SUM(CAST("Solidity" AS REAL))) OVER (PARTITION BY "Class") AS "share_within_group"
+FROM "n10"
+GROUP BY "Class", "roundness"
+ORDER BY "share_within_group" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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  \"Class\",\n  \"roundness\",\n  SUM(CAST(\"Solidity\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"Solidity\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Solidity\" AS REAL))) OVER (PARTITION BY \"Class\") AS \"share_within_group\"\nFROM \"n10\"\nGROUP BY \"Class\", \"roundness\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n  \\\"Class\\\",\\n  \\\"roundness\\\",\\n  SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Class\", \"roundness\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"roundness\": \"0.92688199531597326\", \"total_measure\": 0.9946774999456888, \"share_within_group\": 0.19308026646844795}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8839761020656679\", \"total_measure\": 0.9940817732784658, \"share_within_group\": 0.1929646279186104}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87826903225719011\", \"total_measure\": 0.9940491752256458, \"share_within_group\": 0.19295830019859544}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89809479893722877\", \"total_measure\": 0.9937707547382927, \"share_within_group\": 0.19290425504135467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91564960763908165\", \"total_measure\": 0.9936575542232818, \"share_within_group\": 0.19288228130051518}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9225136551891111\", \"total_measure\": 0.993581944059029, \"share_within_group\": 0.19286760435179318}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.94058768780020996\", \"total_measure\": 0.9935697611026462, \"share_within_group\": 0.19286523947627832}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87594448486543675\", \"total_measure\": 0.993429573982055, \"share_within_group\": 0.19283802727272426}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.95010449643105244\", \"total_measure\": 0.9934097746116236, \"share_within_group\": 0.19283418394891427}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89970082334029589\", \"total_measure\": 0.9933924596304018, \"share_within_group\": 0.19283082287842823}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89468697088276428\", \"total_measure\": 0.993139618824061, \"share_within_group\": 0.19278174308094106}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90867240115286407\", \"total_measure\": 0.9930259945115495, \"share_within_group\": 0.19275968707531288}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90314990038869136\", \"total_measure\": 0.9928777020676691, \"share_within_group\": 0.19273090151961142}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91540973416825477\", \"total_measure\": 0.9928002721156995, \"share_within_group\": 0.1927158713256443}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89181058082968534\", \"total_measure\": 0.9927827129817809, \"share_within_group\": 0.19271246286183952}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8867247662976776\", \"total_measure\": 0.9927055905478138, \"share_within_group\": 0.19269749236124828}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86433171771621919\", \"total_measure\": 0.9926660702523619, \"share_within_group\": 0.19268982094093645}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88088969368850856\", \"total_measure\": 0.9926538231679884, \"share_within_group\": 0.1926874436173171}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86768854916913141\", \"total_measure\": 0.992551393318481, \"share_within_group\": 0.1926675606073583}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.85688960288510863\", \"total_measure\": 0.9925484751178038, \"share_within_group\": 0.1926669941454001}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86180471325093\", \"total_measure\": 0.9925380315028818, \"share_within_group\": 0.1926649668994313}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89519232424722439\", \"total_measure\": 0.9925024325308469, \"share_within_group\": 0.19265805666067867}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88393780986314985\", \"total_measure\": 0.9924756368402529, \"share_within_group\": 0.1926528552571279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89304802288631646\", \"total_measure\": 0.9924183626998839, \"share_within_group\": 0.19264173757699057}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.92300872189099814\", \"total_measure\": 0.9924145103077017, \"share_within_group\": 0.19264098977591018}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.84820242411780089\", \"total_measure\": 0.9923811962802311, \"share_within_group\": 0.19263452307559625}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91801535151849034\", \"total_measure\": 0.9923780399849984, \"share_within_group\": 0.19263391039628602}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86704885085754735\", \"total_measure\": 0.9922503725782414, \"share_within_group\": 0.19260912843739247}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.93230297989277522\", \"total_measure\": 0.9922433562660191, \"share_within_group\": 0.19260776647692432}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86919390478645064\", \"total_measure\": 0.9922211150347386, \"share_within_group\": 0.19260344915511654}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88573050070974157\", \"total_measure\": 0.9921186520735772, \"share_within_group\": 0.19258355971774083}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90840471603813655\", \"total_measure\": 0.992112596231049, \"share_within_group\": 0.1925823841973444}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88993611740135514\", \"total_measure\": 0.9920897361084096, \"share_within_group\": 0.1925779467404089}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89053974610829445\", \"total_measure\": 0.9920496597827384, \"share_within_group\": 0.19257016738716115}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90187818893906979\", \"total_measure\": 0.9920270447050076, \"share_within_group\": 0.19256577749673467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87793150106490314\", \"total_measure\": 0.9919990883518962, \"share_within_group\": 0.19256035079299547}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88710416521644753\", \"total_measure\": 0.9919565620626275, \"share_within_group\": 0.1925520958688976}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87962307120293481\", \"total_measure\": 0.9919478835407083, \"share_within_group\": 0.19255041125119507}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89638442758555736\", \"total_measure\": 0.9919276440386263, \"share_within_group\": 0.1925464824919184}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89976898787820736\", \"total_measure\": 0.9919236324017534, \"share_within_group\": 0.1925457037793041}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89481154136033569\", \"total_measure\": 0.991883635037162, \"share_within_group\": 0.1925379397534628}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89760286587862781\", \"total_measure\": 0.9918753077534942, \"share_within_group\": 0.19253632331582382}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90667907701930017\", \"total_measure\": 0.9918586063849754, \"share_within_group\": 0.19253308135580746}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90661600918335461\", \"total_measure\": 0.9918359412965303, \"share_within_group\": 0.19252868175762944}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89375294660468163\", \"total_measure\": 0.9918022657054583, \"share_within_group\": 0.19252214487296276}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9126822439491582\", \"total_measure\": 0.9917893513697204, \"share_within_group\": 0.19251963802688885}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88973025850229315\", \"total_measure\": 0.9917707696339653, \"share_within_group\": 0.19251603106232876}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8831680830806361\", \"total_measure\": 0.9917657778165498, \"share_within_group\": 0.19251506208350216}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89888452447710343\", \"total_measure\": 0.9917526046733766, \"share_within_group\": 0.1925125049994279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86829459505988071\", \"total_measure\": 0.9917263488534004, \"share_within_group\": 0.19250740839201735}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 72.82}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n10",
+  "started_at": "2026-05-19T15:34:12.813586+00:00",
+  "ended_at": "2026-05-19T15:34:25.572638+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n10_024ce539bf56dacf",
+    "problem_id": "v2p_n10_35563b388ff6a05e",
+    "dataset_id": "n10",
+    "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=Class, measure_col=Solidity.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "Solidity",
+      "item_col": "roundness",
+      "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": 0.989386,
+      "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=2",
+      "sql_variant_index=2/2",
+      "binding_index=25"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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_d/n10/sql/v2q_n10_024ce539bf56dacf.sql",
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_024ce539bf56dacf",
+    "api_calls": 0,
+    "input_tokens": 15507,
+    "cached_input_tokens": 12032,
+    "output_tokens": 662,
+    "total_tokens": 16169,
+    "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": 12679.51,
+    "sql_execution_elapsed_ms_total": 72.82,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:25.497349+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": 12679.51, "started_at": "2026-05-19T15:34:12.816356+00:00", "ended_at": "2026-05-19T15:34:25.495893+00:00", "prompt_metrics": {"chars": 11310, "bytes_utf8": 11310, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 632, "bytes_utf8": 632, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 12032, "output_tokens": 662, "reasoning_output_tokens": 484}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n  \\\"Class\\\",\\n  \\\"roundness\\\",\\n  SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with fixed bindings group_col=\\\"Class\\\", item_col=\\\"roundness\\\", and measure_col=\\\"Solidity\\\". Cast \\\"Solidity\\\" to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n10_024ce539bf56dacf",
+  "api_calls": 0,
+  "input_tokens": 15507,
+  "cached_input_tokens": 12032,
+  "output_tokens": 662,
+  "total_tokens": 16169,
+  "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": 12679.51,
+  "sql_execution_elapsed_ms_total": 72.82,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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=Class, measure_col=Solidity.
+Result preview: [{"Class": "DERMASON", "group_value": 3504.2495973446403}, {"Class": "SIRA", "group_value": 2604.2912502462927}, {"Class": "SEKER", "group_value": 2007.4408196432141}, {"Class": "HOROZ", "group_value": 1900.0061162136512}, {"Class": "CALI", "group_value": 1605.583831650607}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/generated_sql.sql

@@ -0,0 +1,29 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n10
+-- 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_n10_0255ce6fcc3e0a7a
+-- problem_id: v2p_n10_38621dbfb2086f0c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT "Class", SUM(CAST("Solidity" AS REAL)) AS "group_value"
+  FROM "n10"
+  WHERE "Class" IS NOT NULL
+    AND "Solidity" IS NOT NULL
+  GROUP BY "Class"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT g."Class", 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/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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 \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS \"group_value\"\n  FROM \"n10\"\n  WHERE \"Class\" IS NOT NULL\n    AND \"Solidity\" IS NOT NULL\n  GROUP BY \"Class\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT g.\"Class\", 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 \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n10\\\"\\n  WHERE \\\"Class\\\" IS NOT NULL\\n    AND \\\"Solidity\\\" IS NOT NULL\\n  GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 3504.2495973446403}, {\"Class\": \"SIRA\", \"group_value\": 2604.2912502462927}, {\"Class\": \"SEKER\", \"group_value\": 2007.4408196432141}, {\"Class\": \"HOROZ\", \"group_value\": 1900.0061162136512}, {\"Class\": \"CALI\", \"group_value\": 1605.583831650607}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.29}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n10",
+  "started_at": "2026-05-19T15:46:05.627261+00:00",
+  "ended_at": "2026-05-19T15:46:18.990982+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n10_0255ce6fcc3e0a7a",
+    "problem_id": "v2p_n10_38621dbfb2086f0c",
+    "dataset_id": "n10",
+    "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=Class, measure_col=Solidity.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "Solidity",
+      "top_k": 13,
+      "top_n": 4,
+      "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": 0.990013,
+      "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=2",
+      "sql_variant_index=1/2",
+      "binding_index=73"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 2,
+    "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/n10/sql/v2q_n10_0255ce6fcc3e0a7a.sql",
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_0255ce6fcc3e0a7a",
+    "api_calls": 0,
+    "input_tokens": 15526,
+    "cached_input_tokens": 14720,
+    "output_tokens": 661,
+    "total_tokens": 16187,
+    "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": 13338.36,
+    "sql_execution_elapsed_ms_total": 17.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:18.971252+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": 13338.36, "started_at": "2026-05-19T15:46:05.631667+00:00", "ended_at": "2026-05-19T15:46:18.970069+00:00", "prompt_metrics": {"chars": 11452, "bytes_utf8": 11452, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 766, "bytes_utf8": 766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 661, "reasoning_output_tokens": 442}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n10\\\"\\n  WHERE \\\"Class\\\" IS NOT NULL\\n    AND \\\"Solidity\\\" IS NOT NULL\\n  GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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\":\"Applied the provided relative-to-total threshold template with group_col=\\\"Class\\\", measure_col=\\\"Solidity\\\", and fraction_threshold=0.1. Cast \\\"Solidity\\\" from TEXT to REAL for numeric aggregation and filtered NULLs for stability.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n10_0255ce6fcc3e0a7a",
+  "api_calls": 0,
+  "input_tokens": 15526,
+  "cached_input_tokens": 14720,
+  "output_tokens": 661,
+  "total_tokens": 16187,
+  "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": 13338.36,
+  "sql_execution_elapsed_ms_total": 17.29,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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=Class, measure_col=EquivDiameter.
+Result preview: [{"Class": "DERMASON", "total_measure": 715170.801036799}, {"Class": "SIRA", "total_measure": 628251.8924402109}, {"Class": "CALI", "total_measure": 504542.5068795167}, {"Class": "HOROZ", "total_measure": 502688.81766233675}, {"Class": "SEKER", "total_measure": 455970.4896642242}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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: n10
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n10_0261622b6183fc3e
+-- problem_id: v2p_n10_beeb7f6f0e9d7e04
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Class", SUM(CAST("EquivDiameter" AS REAL)) AS "total_measure"
+FROM "n10"
+GROUP BY "Class"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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 \"Class\", SUM(CAST(\"EquivDiameter\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"EquivDiameter\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 715170.801036799}, {\"Class\": \"SIRA\", \"total_measure\": 628251.8924402109}, {\"Class\": \"CALI\", \"total_measure\": 504542.5068795167}, {\"Class\": \"HOROZ\", \"total_measure\": 502688.81766233675}, {\"Class\": \"SEKER\", \"total_measure\": 455970.4896642242}, {\"Class\": \"BARBUNYA\", \"total_measure\": 393045.165189257}, {\"Class\": \"BOMBAY\", \"total_measure\": 244787.4245256598}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.6}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n10",
+  "started_at": "2026-05-19T15:31:00.093840+00:00",
+  "ended_at": "2026-05-19T15:31:15.508386+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n10_0261622b6183fc3e",
+    "problem_id": "v2p_n10_beeb7f6f0e9d7e04",
+    "dataset_id": "n10",
+    "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_rank_order",
+    "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=Class, measure_col=EquivDiameter.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "EquivDiameter",
+      "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": 279.446467,
+      "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=8",
+      "sql_variant_index=1/2",
+      "binding_index=7"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 8,
+    "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/n10/sql/v2q_n10_0261622b6183fc3e.sql",
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_0261622b6183fc3e",
+    "api_calls": 0,
+    "input_tokens": 15390,
+    "cached_input_tokens": 12032,
+    "output_tokens": 608,
+    "total_tokens": 15998,
+    "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": 15399.52,
+    "sql_execution_elapsed_ms_total": 9.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:31:15.497369+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": 15399.52, "started_at": "2026-05-19T15:31:00.096970+00:00", "ended_at": "2026-05-19T15:31:15.496519+00:00", "prompt_metrics": {"chars": 10908, "bytes_utf8": 10908, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 608, "reasoning_output_tokens": 498}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"EquivDiameter\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with \\\"Class\\\" as the grouping column and \\\"EquivDiameter\\\" as the measure. \\\"EquivDiameter\\\" is cast to REAL because the schema snapshot stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n10_0261622b6183fc3e",
+  "api_calls": 0,
+  "input_tokens": 15390,
+  "cached_input_tokens": 12032,
+  "output_tokens": 608,
+  "total_tokens": 15998,
+  "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": 15399.52,
+  "sql_execution_elapsed_ms_total": 9.6,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 447, "bytes_utf8": 447, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 12032, "output_tokens": 433, "reasoning_output_tokens": 309}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_060990fc5fbb4971",
+    "api_calls": 0,
+    "input_tokens": 15432,
+    "cached_input_tokens": 12032,
+    "output_tokens": 433,
+    "total_tokens": 15865,
+    "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": 9922.91,
+    "sql_execution_elapsed_ms_total": 12.05,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:04:44.448559+00:00",
+  "ended_at": "2026-05-19T16:04:54.371511+00:00",
+  "elapsed_ms": 9922.91,
+  "prompt_metrics": {
+    "chars": 11066,
+    "bytes_utf8": 11066,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 811,
+    "bytes_utf8": 811,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 447,
+      "bytes_utf8": 447,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15432,
+      "cached_input_tokens": 12032,
+      "output_tokens": 433,
+      "reasoning_output_tokens": 309
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n10
+- dataset_name: Dry Bean Dataset
+- table_name: n10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`.
+- task_type: classification
+- target_column: Class
+- main_row_count: 13611
+- important_fields:
+- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area.
+- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter.
+- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength.
+- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength.
+- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation.
+- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity.
+- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea.
+- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter.
+- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent.
+- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity.
+- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness.
+- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness.
+- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1.
+- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2.
+- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3.
+- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4.
+- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
+- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']]
+- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter']
+- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "n10",
+  "quoted_table_name": "\"n10\"",
+  "row_count": 13611,
+  "columns": [
+    {
+      "name": "Area",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Perimeter",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MajorAxisLength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MinorAxisLength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "AspectRation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Eccentricity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ConvexArea",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "EquivDiameter",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Extent",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Solidity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "roundness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Compactness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Area": "28395",
+      "Perimeter": "610.29099999999983",
+      "MajorAxisLength": "208.17811670852728",
+      "MinorAxisLength": "173.88874704163598",
+      "AspectRation": "1.1971914241160242",
+      "Eccentricity": "0.54981218713834723",
+      "ConvexArea": "28715",
+      "EquivDiameter": "190.14109727451071",
+      "Extent": "0.76392251815980627",
+      "Solidity": "0.9888559986069998",
+      "roundness": "0.95802712625012765",
+      "Compactness": "0.91335775479576264",
+      "ShapeFactor1": "7.3315061351832116E-3",
+      "ShapeFactor2": "3.1472891673356902E-3",
+      "ShapeFactor3": "0.83422238824555639",
+      "ShapeFactor4": "0.99872388901316844",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "28734",
+      "Perimeter": "638.01799999999992",
+      "MajorAxisLength": "200.52479566364806",
+      "MinorAxisLength": "182.73441935102403",
+      "AspectRation": "1.0973564606810586",
+      "Eccentricity": "0.41178525136724037",
+      "ConvexArea": "29172",
+      "EquivDiameter": "191.2727504858446",
+      "Extent": "0.78396813270762855",
+      "Solidity": "0.98498560263266144",
+      "roundness": "0.88703363655288692",
+      "Compactness": "0.95386084226051293",
+      "ShapeFactor1": "6.9786592769418825E-3",
+      "ShapeFactor2": "3.563623712100963E-3",
+      "ShapeFactor3": "0.90985050639793519",
+      "ShapeFactor4": "0.99843033144970694",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "29380",
+      "Perimeter": "624.11",
+      "MajorAxisLength": "212.82612986020646",
+      "MinorAxisLength": "175.93114261271373",
+      "AspectRation": "1.2097126563243641",
+      "Eccentricity": "0.56272731675041165",
+      "ConvexArea": "29690",
+      "EquivDiameter": "193.41090409881002",
+      "Extent": "0.77811324752370359",
+      "Solidity": "0.98955877399797909",
+      "roundness": "0.9478494730164112",
+      "Compactness": "0.90877423851033134",
+      "ShapeFactor1": "7.243911840034257E-3",
+      "ShapeFactor2": "3.0477332172131732E-3",
+      "ShapeFactor3": "0.82587061658003247",
+      "ShapeFactor4": "0.99906613736327154",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "30008",
+      "Perimeter": "645.8839999999999",
+      "MajorAxisLength": "210.55799896092509",
+      "MinorAxisLength": "182.51651569530466",
+      "AspectRation": "1.1536380593218929",
+      "Eccentricity": "0.49861597640271654",
+      "ConvexArea": "30724",
+      "EquivDiameter": "195.46706182478101",
+      "Extent": "0.78268127282211786",
+      "Solidity": "0.97669574274183046",
+      "roundness": "0.90393637431733753",
+      "Compactness": "0.92832883475994366",
+      "ShapeFactor1": "7.0167288376741235E-3",
+      "ShapeFactor2": "3.2145620793900551E-3",
+      "ShapeFactor3": "0.86179442544675466",
+      "ShapeFactor4": "0.99419884850682005",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "30140",
+      "Perimeter": "620.1339999999999",
+      "MajorAxisLength": "201.84788216673786",
+      "MinorAxisLength": "190.27927878664835",
+      "AspectRation": "1.0607980199097815",
+      "Eccentricity": "0.33367965777317699",
+      "ConvexArea": "30417",
+      "EquivDiameter": "195.89650297623436",
+      "Extent": "0.77309803519212028",
+      "Solidity": "0.99089325048492616",
+      "roundness": "0.98487706935090946",
+      "Compactness": "0.97051552324147095",
+      "ShapeFactor1": "6.6970100254392121E-3",
+      "ShapeFactor2": "3.6649719644516834E-3",
+      "ShapeFactor3": "0.94190038085266625",
+      "ShapeFactor4": "0.99916605896077737",
+      "Class": "SEKER"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_thresholded_group_ranking",
+    "template_name": "Thresholded Group Ranking",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n10",
+  "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=Solidity.",
+  "planned_template_id": "tpl_tpch_thresholded_group_ranking",
+  "bindings": {
+    "group_col": "Class",
+    "measure_col": "Solidity",
+    "top_k": 17,
+    "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": 0.989386,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fb-802d-7663-b972-3116ee389ef9"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Solidity\\\" AS REAL)) > 0.989386\\nORDER BY total_measure DESC\\nLIMIT 17;\",\"notes\":\"Used the planned Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Solidity\\\". Cast \\\"Solidity\\\" to REAL because the schema stores numeric values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15432,"cached_input_tokens":12032,"output_tokens":433,"reasoning_output_tokens":309}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking.\nSELECT \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Solidity\" AS REAL)) > 0.989386\nORDER BY total_measure DESC\nLIMIT 17;","notes":"Used the planned Thresholded Group Ranking template with group_col=\"Class\" and measure_col=\"Solidity\". Cast \"Solidity\" to REAL because the schema stores numeric values as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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 focused_target_view. Focus on group_col=Class, measure_col=ShapeFactor4.
+Result preview: [{"Class": "SEKER", "Area": "38426", "total_measure": 3.9943383035552915, "share_within_group": 0.19737585990225695}, {"Class": "BOMBAY", "Area": "186003", "total_measure": 0.9991475791034169, "share_within_group": 0.19298215755082965}, {"Class": "BOMBAY", "Area": "132399", "total_measure": 0.9990488528172804, "share_within_group": 0.19296308888459449}, {"Class": "BOMBAY", "Area": "154364", "total_measure": 0.9987097315546398, "share_within_group": 0.1928975886979309}, {"Class": "BOMBAY", "Area": "161579", "total_measure": 0.9986436749888588, "share_within_group": 0.1928848300836366}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n10
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_n10_061574dcf9031d13
+-- problem_id: v2p_n10_7b062b86371c1399
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Class", "Area",
+       SUM(CAST("ShapeFactor4" AS REAL)) AS total_measure,
+       SUM(CAST("ShapeFactor4" AS REAL)) * 100.0 / SUM(SUM(CAST("ShapeFactor4" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group
+FROM "n10"
+GROUP BY "Class", "Area"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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 \"Class\", \"Area\",\n       SUM(CAST(\"ShapeFactor4\" AS REAL)) AS total_measure,\n       SUM(CAST(\"ShapeFactor4\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor4\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Area\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Area\\\",\\n       SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor4\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Area\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"Area\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"SEKER\", \"Area\": \"38426\", \"total_measure\": 3.9943383035552915, \"share_within_group\": 0.19737585990225695}, {\"Class\": \"BOMBAY\", \"Area\": \"186003\", \"total_measure\": 0.9991475791034169, \"share_within_group\": 0.19298215755082965}, {\"Class\": \"BOMBAY\", \"Area\": \"132399\", \"total_measure\": 0.9990488528172804, \"share_within_group\": 0.19296308888459449}, {\"Class\": \"BOMBAY\", \"Area\": \"154364\", \"total_measure\": 0.9987097315546398, \"share_within_group\": 0.1928975886979309}, {\"Class\": \"BOMBAY\", \"Area\": \"161579\", \"total_measure\": 0.9986436749888588, \"share_within_group\": 0.1928848300836366}, {\"Class\": \"BOMBAY\", \"Area\": \"168684\", \"total_measure\": 0.9984041176678691, \"share_within_group\": 0.19283856035369024}, {\"Class\": \"BOMBAY\", \"Area\": \"148931\", \"total_measure\": 0.9983892988290833, \"share_within_group\": 0.19283569814240026}, {\"Class\": \"BOMBAY\", \"Area\": \"147218\", \"total_measure\": 0.9981316572340387, \"share_within_group\": 0.19278593549279133}, {\"Class\": \"BOMBAY\", \"Area\": \"183825\", \"total_measure\": 0.9981024393107647, \"share_within_group\": 0.19278029214441067}, {\"Class\": \"BOMBAY\", \"Area\": \"180012\", \"total_measure\": 0.9980726398509676, \"share_within_group\": 0.19277453647411155}, {\"Class\": \"BOMBAY\", \"Area\": \"145285\", \"total_measure\": 0.9980170255393909, \"share_within_group\": 0.19276379474780075}, {\"Class\": \"BOMBAY\", \"Area\": \"154727\", \"total_measure\": 0.9979749122802355, \"share_within_group\": 0.19275566070656075}, {\"Class\": \"BOMBAY\", \"Area\": \"133760\", \"total_measure\": 0.997897063790204, \"share_within_group\": 0.19274062451983262}, {\"Class\": \"BOMBAY\", \"Area\": \"142238\", \"total_measure\": 0.9978920129479146, \"share_within_group\": 0.19273964896580756}, {\"Class\": \"BOMBAY\", \"Area\": \"156138\", \"total_measure\": 0.9978413335386782, \"share_within_group\": 0.1927298604000917}, {\"Class\": \"BOMBAY\", \"Area\": \"191584\", \"total_measure\": 0.9978257711805268, \"share_within_group\": 0.1927268545804156}, {\"Class\": \"BOMBAY\", \"Area\": \"159402\", \"total_measure\": 0.9977638252268937, \"share_within_group\": 0.19271488991770339}, {\"Class\": \"BOMBAY\", \"Area\": \"183612\", \"total_measure\": 0.9977546018504821, \"share_within_group\": 0.19271310845206507}, {\"Class\": \"BOMBAY\", \"Area\": \"171217\", \"total_measure\": 0.9977491591665186, \"share_within_group\": 0.19271205721507456}, {\"Class\": \"BOMBAY\", \"Area\": \"190239\", \"total_measure\": 0.9977323013286369, \"share_within_group\": 0.19270880117763414}, {\"Class\": \"BOMBAY\", \"Area\": \"175965\", \"total_measure\": 0.9977099233659737, \"share_within_group\": 0.19270447894575704}, {\"Class\": \"BOMBAY\", \"Area\": \"168313\", \"total_measure\": 0.9976859241970348, \"share_within_group\": 0.19269984358307576}, {\"Class\": \"BOMBAY\", \"Area\": \"168736\", \"total_measure\": 0.9975786002630732, \"share_within_group\": 0.19267911430867635}, {\"Class\": \"BOMBAY\", \"Area\": \"160250\", \"total_measure\": 0.997526497241852, \"share_within_group\": 0.19266905077686133}, {\"Class\": \"BOMBAY\", \"Area\": \"126503\", \"total_measure\": 0.9975231552486991, \"share_within_group\": 0.1926684052815785}, {\"Class\": \"BOMBAY\", \"Area\": \"155088\", \"total_measure\": 0.9975172823139138, \"share_within_group\": 0.19266727094301858}, {\"Class\": \"BOMBAY\", \"Area\": \"139523\", \"total_measure\": 0.9974779072483981, \"share_within_group\": 0.19265966577511764}, {\"Class\": \"BOMBAY\", \"Area\": \"157916\", \"total_measure\": 0.9974647925974839, \"share_within_group\": 0.19265713272226148}, {\"Class\": \"BOMBAY\", \"Area\": \"142154\", \"total_measure\": 0.9974416200568668, \"share_within_group\": 0.1926526570201953}, {\"Class\": \"BOMBAY\", \"Area\": \"176492\", \"total_measure\": 0.9973235849855902, \"share_within_group\": 0.19262985892389997}, {\"Class\": \"BOMBAY\", \"Area\": \"138114\", \"total_measure\": 0.9973232569393772, \"share_within_group\": 0.19262979556282372}, {\"Class\": \"BOMBAY\", \"Area\": \"137358\", \"total_measure\": 0.9972703149357028, \"share_within_group\": 0.1926195699842327}, {\"Class\": \"BOMBAY\", \"Area\": \"169095\", \"total_measure\": 0.997216696142052, \"share_within_group\": 0.1926092136858235}, {\"Class\": \"BOMBAY\", \"Area\": \"169004\", \"total_measure\": 0.997195247513836, \"share_within_group\": 0.19260507095192095}, {\"Class\": \"BOMBAY\", \"Area\": \"147030\", \"total_measure\": 0.9971845240630196, \"share_within_group\": 0.19260299975171166}, {\"Class\": \"BOMBAY\", \"Area\": \"180948\", \"total_measure\": 0.9971531922643349, \"share_within_group\": 0.19259694811505998}, {\"Class\": \"BOMBAY\", \"Area\": \"144704\", \"total_measure\": 0.9971501700505921, \"share_within_group\": 0.1925963643841469}, {\"Class\": \"BOMBAY\", \"Area\": \"162493\", \"total_measure\": 0.9971425870163538, \"share_within_group\": 0.19259489974535013}, {\"Class\": \"BOMBAY\", \"Area\": \"184827\", \"total_measure\": 0.9970984053289916, \"share_within_group\": 0.19258636619382108}, {\"Class\": \"BOMBAY\", \"Area\": \"129409\", \"total_measure\": 0.9970757227739616, \"share_within_group\": 0.19258198513090305}, {\"Class\": \"BOMBAY\", \"Area\": \"163117\", \"total_measure\": 0.9970241147638125, \"share_within_group\": 0.19257201720889253}, {\"Class\": \"BOMBAY\", \"Area\": \"135222\", \"total_measure\": 0.9970227013033064, \"share_within_group\": 0.192571744203519}, {\"Class\": \"BOMBAY\", \"Area\": \"164698\", \"total_measure\": 0.9970137891446154, \"share_within_group\": 0.19257002284858743}, {\"Class\": \"BOMBAY\", \"Area\": \"159596\", \"total_measure\": 0.9969997922119584, \"share_within_group\": 0.19256731938583607}, {\"Class\": \"BOMBAY\", \"Area\": \"152533\", \"total_measure\": 0.9969865122066188, \"share_within_group\": 0.1925647543953018}, {\"Class\": \"BOMBAY\", \"Area\": \"157613\", \"total_measure\": 0.9969856653767942, \"share_within_group\": 0.19256459083283112}, {\"Class\": \"BOMBAY\", \"Area\": \"159247\", \"total_measure\": 0.9969524391884534, \"share_within_group\": 0.19255817330087957}, {\"Class\": \"BOMBAY\", \"Area\": \"174024\", \"total_measure\": 0.996914116676191, \"share_within_group\": 0.19255077143027122}, {\"Class\": \"BOMBAY\", \"Area\": \"158001\", \"total_measure\": 0.9969095600013755, \"share_within_group\": 0.19254989132311234}, {\"Class\": \"BOMBAY\", \"Area\": \"131488\", \"total_measure\": 0.9969091641615784, \"share_within_group\": 0.19254981486792222}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 65.42}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n10",
+  "started_at": "2026-05-19T15:37:07.639908+00:00",
+  "ended_at": "2026-05-19T15:37:18.838359+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n10_061574dcf9031d13",
+    "problem_id": "v2p_n10_7b062b86371c1399",
+    "dataset_id": "n10",
+    "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": "focused_target_view",
+    "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 focused_target_view. Focus on group_col=Class, measure_col=ShapeFactor4.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "ShapeFactor4",
+      "item_col": "Area",
+      "top_k": 11,
+      "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": 0.997883,
+      "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=1/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 8,
+    "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/n10/sql/v2q_n10_061574dcf9031d13.sql",
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_061574dcf9031d13",
+    "api_calls": 0,
+    "input_tokens": 15507,
+    "cached_input_tokens": 14720,
+    "output_tokens": 551,
+    "total_tokens": 16058,
+    "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": 11127.48,
+    "sql_execution_elapsed_ms_total": 65.42,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:18.770920+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": 11127.48, "started_at": "2026-05-19T15:37:07.642184+00:00", "ended_at": "2026-05-19T15:37:18.769700+00:00", "prompt_metrics": {"chars": 11306, "bytes_utf8": 11306, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 14720, "output_tokens": 551, "reasoning_output_tokens": 387}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Area\\\",\\n       SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor4\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Area\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Area\\\", and measure_col=\\\"ShapeFactor4\\\". Cast \\\"ShapeFactor4\\\" to REAL because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n10_061574dcf9031d13",
+  "api_calls": 0,
+  "input_tokens": 15507,
+  "cached_input_tokens": 14720,
+  "output_tokens": 551,
+  "total_tokens": 16058,
+  "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": 11127.48,
+  "sql_execution_elapsed_ms_total": 65.42,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11316, "bytes_utf8": 11316, "lines": 302, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15509, "cached_input_tokens": 14720, "output_tokens": 850, "reasoning_output_tokens": 679}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_071b6ef5e8850827",
+    "api_calls": 0,
+    "input_tokens": 15509,
+    "cached_input_tokens": 14720,
+    "output_tokens": 850,
+    "total_tokens": 16359,
+    "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": 18951.24,
+    "sql_execution_elapsed_ms_total": 66.48,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:48.618386+00:00",
+  "ended_at": "2026-05-19T15:37:07.569665+00:00",
+  "elapsed_ms": 18951.24,
+  "prompt_metrics": {
+    "chars": 11316,
+    "bytes_utf8": 11316,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 994,
+    "bytes_utf8": 994,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 610,
+      "bytes_utf8": 610,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15509,
+      "cached_input_tokens": 14720,
+      "output_tokens": 850,
+      "reasoning_output_tokens": 679
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n10
+- dataset_name: Dry Bean Dataset
+- table_name: n10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`.
+- task_type: classification
+- target_column: Class
+- main_row_count: 13611
+- important_fields:
+- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area.
+- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter.
+- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength.
+- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength.
+- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation.
+- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity.
+- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea.
+- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter.
+- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent.
+- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity.
+- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness.
+- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness.
+- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1.
+- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2.
+- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3.
+- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4.
+- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
+- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']]
+- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter']
+- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "n10",
+  "quoted_table_name": "\"n10\"",
+  "row_count": 13611,
+  "columns": [
+    {
+      "name": "Area",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Perimeter",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MajorAxisLength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MinorAxisLength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "AspectRation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Eccentricity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ConvexArea",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "EquivDiameter",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Extent",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Solidity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "roundness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Compactness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ShapeFactor4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Area": "28395",
+      "Perimeter": "610.29099999999983",
+      "MajorAxisLength": "208.17811670852728",
+      "MinorAxisLength": "173.88874704163598",
+      "AspectRation": "1.1971914241160242",
+      "Eccentricity": "0.54981218713834723",
+      "ConvexArea": "28715",
+      "EquivDiameter": "190.14109727451071",
+      "Extent": "0.76392251815980627",
+      "Solidity": "0.9888559986069998",
+      "roundness": "0.95802712625012765",
+      "Compactness": "0.91335775479576264",
+      "ShapeFactor1": "7.3315061351832116E-3",
+      "ShapeFactor2": "3.1472891673356902E-3",
+      "ShapeFactor3": "0.83422238824555639",
+      "ShapeFactor4": "0.99872388901316844",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "28734",
+      "Perimeter": "638.01799999999992",
+      "MajorAxisLength": "200.52479566364806",
+      "MinorAxisLength": "182.73441935102403",
+      "AspectRation": "1.0973564606810586",
+      "Eccentricity": "0.41178525136724037",
+      "ConvexArea": "29172",
+      "EquivDiameter": "191.2727504858446",
+      "Extent": "0.78396813270762855",
+      "Solidity": "0.98498560263266144",
+      "roundness": "0.88703363655288692",
+      "Compactness": "0.95386084226051293",
+      "ShapeFactor1": "6.9786592769418825E-3",
+      "ShapeFactor2": "3.563623712100963E-3",
+      "ShapeFactor3": "0.90985050639793519",
+      "ShapeFactor4": "0.99843033144970694",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "29380",
+      "Perimeter": "624.11",
+      "MajorAxisLength": "212.82612986020646",
+      "MinorAxisLength": "175.93114261271373",
+      "AspectRation": "1.2097126563243641",
+      "Eccentricity": "0.56272731675041165",
+      "ConvexArea": "29690",
+      "EquivDiameter": "193.41090409881002",
+      "Extent": "0.77811324752370359",
+      "Solidity": "0.98955877399797909",
+      "roundness": "0.9478494730164112",
+      "Compactness": "0.90877423851033134",
+      "ShapeFactor1": "7.243911840034257E-3",
+      "ShapeFactor2": "3.0477332172131732E-3",
+      "ShapeFactor3": "0.82587061658003247",
+      "ShapeFactor4": "0.99906613736327154",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "30008",
+      "Perimeter": "645.8839999999999",
+      "MajorAxisLength": "210.55799896092509",
+      "MinorAxisLength": "182.51651569530466",
+      "AspectRation": "1.1536380593218929",
+      "Eccentricity": "0.49861597640271654",
+      "ConvexArea": "30724",
+      "EquivDiameter": "195.46706182478101",
+      "Extent": "0.78268127282211786",
+      "Solidity": "0.97669574274183046",
+      "roundness": "0.90393637431733753",
+      "Compactness": "0.92832883475994366",
+      "ShapeFactor1": "7.0167288376741235E-3",
+      "ShapeFactor2": "3.2145620793900551E-3",
+      "ShapeFactor3": "0.86179442544675466",
+      "ShapeFactor4": "0.99419884850682005",
+      "Class": "SEKER"
+    },
+    {
+      "Area": "30140",
+      "Perimeter": "620.1339999999999",
+      "MajorAxisLength": "201.84788216673786",
+      "MinorAxisLength": "190.27927878664835",
+      "AspectRation": "1.0607980199097815",
+      "Eccentricity": "0.33367965777317699",
+      "ConvexArea": "30417",
+      "EquivDiameter": "195.89650297623436",
+      "Extent": "0.77309803519212028",
+      "Solidity": "0.99089325048492616",
+      "roundness": "0.98487706935090946",
+      "Compactness": "0.97051552324147095",
+      "ShapeFactor1": "6.6970100254392121E-3",
+      "ShapeFactor2": "3.6649719644516834E-3",
+      "ShapeFactor3": "0.94190038085266625",
+      "ShapeFactor4": "0.99916605896077737",
+      "Class": "SEKER"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n10",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, measure_col=ShapeFactor3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "Class",
+    "measure_col": "ShapeFactor3",
+    "item_col": "ShapeFactor4",
+    "top_k": 15,
+    "top_n": 6,
+    "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": 0.673293,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-ee00-7a71-92a5-816ea699dbfb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor4\\\",\\n       SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor3\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor4\\\", and measure_col=\\\"ShapeFactor3\\\". Cast \\\"ShapeFactor3\\\" to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15509,"cached_input_tokens":14720,"output_tokens":850,"reasoning_output_tokens":679}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor4\",\n       SUM(CAST(\"ShapeFactor3\" AS REAL)) AS total_measure,\n       SUM(CAST(\"ShapeFactor3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor3\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor4\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor4\", and measure_col=\"ShapeFactor3\". Cast \"ShapeFactor3\" to REAL because the schema stores it as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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 count_distribution. Focus on group_col=Class, measure_col=ShapeFactor2.
+Result preview: [{"Class": "DERMASON", "group_value": 7.662118003656603}, {"Class": "SEKER", "group_value": 5.149894924808287}, {"Class": "SIRA", "group_value": 4.435447180214106}, {"Class": "HOROZ", "group_value": 2.0196471100296804}, {"Class": "BARBUNYA", "group_value": 1.8428620652404655}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n10
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_n10_08507f6db65252f6
+-- problem_id: v2p_n10_f81c52f71c31b288
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT "Class", SUM(CAST("ShapeFactor2" AS REAL)) AS "group_value"
+    FROM "n10"
+    GROUP BY "Class"
+), "total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT "g"."Class", "g"."group_value"
+FROM "grouped" AS "g"
+CROSS JOIN "total" AS "t"
+WHERE "g"."group_value" > "t"."total_value" * 0.05
+ORDER BY "g"."group_value" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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 \"Class\", SUM(CAST(\"ShapeFactor2\" AS REAL)) AS \"group_value\"\n    FROM \"n10\"\n    GROUP BY \"Class\"\n), \"total\" AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM \"grouped\"\n)\nSELECT \"g\".\"Class\", \"g\".\"group_value\"\nFROM \"grouped\" AS \"g\"\nCROSS JOIN \"total\" AS \"t\"\nWHERE \"g\".\"group_value\" > \"t\".\"total_value\" * 0.05\nORDER BY \"g\".\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"n10\\\"\\n    GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT \\\"g\\\".\\\"Class\\\", \\\"g\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS \\\"g\\\"\\nCROSS JOIN \\\"total\\\" AS \\\"t\\\"\\nWHERE \\\"g\\\".\\\"group_value\\\" > \\\"t\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"g\\\".\\\"group_value\\\" DESC;\", \"columns\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 7.662118003656603}, {\"Class\": \"SEKER\", \"group_value\": 5.149894924808287}, {\"Class\": \"SIRA\", \"group_value\": 4.435447180214106}, {\"Class\": \"HOROZ\", \"group_value\": 2.0196471100296804}, {\"Class\": \"BARBUNYA\", \"group_value\": 1.8428620652404655}, {\"Class\": \"CALI\", \"group_value\": 1.805050623227241}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.29}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:11.739510+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": 18134.34, "started_at": "2026-05-19T15:47:53.604331+00:00", "ended_at": "2026-05-19T15:48:11.738707+00:00", "prompt_metrics": {"chars": 11461, "bytes_utf8": 11461, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 709, "bytes_utf8": 709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 650, "reasoning_output_tokens": 444}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"n10\\\"\\n    GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT \\\"g\\\".\\\"Class\\\", \\\"g\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS \\\"g\\\"\\nCROSS JOIN \\\"total\\\" AS \\\"t\\\"\\nWHERE \\\"g\\\".\\\"group_value\\\" > \\\"t\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"g\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor2\\\". Cast \\\"ShapeFactor2\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10807, "bytes_utf8": 10807, "lines": 298, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 14720, "output_tokens": 295, "reasoning_output_tokens": 221}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n10_08528769c33f3a20",
+    "api_calls": 0,
+    "input_tokens": 15361,
+    "cached_input_tokens": 14720,
+    "output_tokens": 295,
+    "total_tokens": 15656,
+    "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": 17035.08,
+    "sql_execution_elapsed_ms_total": 7.24,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}