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Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=HAIR, condition_col=ALIGN.
+Result preview: [{"HAIR": "Blue Hair", "condition_ratio": 1.9166666666666667}, {"HAIR": "", "condition_ratio": 1.7122708039492243}, {"HAIR": "Pink Hair", "condition_ratio": 1.25}, {"HAIR": "White Hair", "condition_ratio": 1.1407407407407408}, {"HAIR": "Silver Hair", "condition_ratio": 1.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c16
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c16_015d5c3e34621a73
+-- problem_id: v2p_c16_bf1559c8457d8261
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "HAIR",
+           SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "c16"
+    GROUP BY "HAIR"
+)
+SELECT "HAIR",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"HAIR\",\n           SUM(CASE WHEN \"ALIGN\" = 'Bad Characters' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"ALIGN\" = 'Good Characters' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c16\"\n    GROUP BY \"HAIR\"\n)\nSELECT \"HAIR\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"HAIR\\\",\\n           SUM(CASE WHEN \\\"ALIGN\\\" = 'Bad Characters' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"ALIGN\\\" = 'Good Characters' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c16\\\"\\n    GROUP BY \\\"HAIR\\\"\\n)\\nSELECT \\\"HAIR\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"HAIR\", \"condition_ratio\"], \"rows\": [{\"HAIR\": \"Blue Hair\", \"condition_ratio\": 1.9166666666666667}, {\"HAIR\": \"\", \"condition_ratio\": 1.7122708039492243}, {\"HAIR\": \"Pink Hair\", \"condition_ratio\": 1.25}, {\"HAIR\": \"White Hair\", \"condition_ratio\": 1.1407407407407408}, {\"HAIR\": \"Silver Hair\", \"condition_ratio\": 1.0}, {\"HAIR\": \"Green Hair\", \"condition_ratio\": 0.9473684210526315}, {\"HAIR\": \"Grey Hair\", \"condition_ratio\": 0.9230769230769231}, {\"HAIR\": \"Black Hair\", \"condition_ratio\": 0.8145048814504882}, {\"HAIR\": \"Blond Hair\", \"condition_ratio\": 0.7386363636363636}, {\"HAIR\": \"Brown Hair\", \"condition_ratio\": 0.7346938775510204}, {\"HAIR\": \"Red Hair\", \"condition_ratio\": 0.7072072072072072}, {\"HAIR\": \"Purple Hair\", \"condition_ratio\": 0.5555555555555556}, {\"HAIR\": \"Reddish Brown Hair\", \"condition_ratio\": 0.5}, {\"HAIR\": \"Violet Hair\", \"condition_ratio\": 0.5}, {\"HAIR\": \"Strawberry Blond Hair\", \"condition_ratio\": 0.3888888888888889}, {\"HAIR\": \"Gold Hair\", \"condition_ratio\": 0.3333333333333333}, {\"HAIR\": \"Orange Hair\", \"condition_ratio\": 0.14285714285714285}, {\"HAIR\": \"Platinum Blond Hair\", \"condition_ratio\": null}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.78}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:40:52.517919+00:00",
+  "ended_at": "2026-05-19T15:41:15.014594+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_015d5c3e34621a73",
+    "problem_id": "v2p_c16_bf1559c8457d8261",
+    "dataset_id": "c16",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=HAIR, condition_col=ALIGN.",
+    "bindings": {
+      "group_col": "HAIR",
+      "condition_col": "ALIGN",
+      "condition_value": "Bad Characters",
+      "positive_value": "Bad Characters",
+      "negative_value": "Good Characters",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2003.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1",
+      "binding_index=44"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/sql/v2q_c16_015d5c3e34621a73.sql",
+  "usage_summary": {
+    "dataset_id": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_015d5c3e34621a73",
+    "api_calls": 0,
+    "input_tokens": 14763,
+    "cached_input_tokens": 13696,
+    "output_tokens": 926,
+    "total_tokens": 15689,
+    "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": 22487.21,
+    "sql_execution_elapsed_ms_total": 4.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:41:15.008086+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": 22487.21, "started_at": "2026-05-19T15:40:52.519952+00:00", "ended_at": "2026-05-19T15:41:15.007191+00:00", "prompt_metrics": {"chars": 9321, "bytes_utf8": 9321, "lines": 255, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14763, "cached_input_tokens": 13696, "output_tokens": 926, "reasoning_output_tokens": 747}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"HAIR\\\",\\n           SUM(CASE WHEN \\\"ALIGN\\\" = 'Bad Characters' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"ALIGN\\\" = 'Good Characters' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c16\\\"\\n    GROUP BY \\\"HAIR\\\"\\n)\\nSELECT \\\"HAIR\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each HAIR group, the ratio of rows with ALIGN = 'Bad Characters' to rows with ALIGN = 'Good Characters' using the planned grouped ratio template.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c16_015d5c3e34621a73",
+  "api_calls": 0,
+  "input_tokens": 14763,
+  "cached_input_tokens": 13696,
+  "output_tokens": 926,
+  "total_tokens": 15689,
+  "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": 22487.21,
+  "sql_execution_elapsed_ms_total": 4.78,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_015d5c3e34621a73/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_024eb99029bb3c59/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:25.233284+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": 18349.45, "started_at": "2026-05-19T15:33:06.881882+00:00", "ended_at": "2026-05-19T15:33:25.231376+00:00", "prompt_metrics": {"chars": 8390, "bytes_utf8": 8390, "lines": 250, "estimated_tokens": null}, "response_metrics": {"chars": 271, "bytes_utf8": 271, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14525, "cached_input_tokens": 12032, "output_tokens": 190, "reasoning_output_tokens": 114}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ALIVE\\\", COUNT(*) AS row_count\\nFROM \\\"c16\\\"\\nGROUP BY \\\"ALIVE\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to ALIVE on the single table c16.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=EYE, group_col_2=YEAR.
+Result preview: [{"EYE": "Green Eyes", "YEAR": "2006", "row_count": 25}, {"EYE": "Green Eyes", "YEAR": "1994", "row_count": 13}, {"EYE": "Green Eyes", "YEAR": "2007", "row_count": 13}, {"EYE": "Green Eyes", "YEAR": "2011", "row_count": 12}, {"EYE": "Green Eyes", "YEAR": "1999", "row_count": 11}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/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: c16
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_c16_03681b5c99b9253d
+-- problem_id: v2p_c16_43dd6016c2c9de35
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "EYE", "YEAR", COUNT(*) AS row_count
+FROM "c16"
+WHERE "EYE" = 'Green Eyes'
+GROUP BY "EYE", "YEAR"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"EYE\", \"YEAR\", COUNT(*) AS row_count\nFROM \"c16\"\nWHERE \"EYE\" = 'Green Eyes'\nGROUP BY \"EYE\", \"YEAR\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"EYE\\\", \\\"YEAR\\\", COUNT(*) AS row_count\\nFROM \\\"c16\\\"\\nWHERE \\\"EYE\\\" = 'Green Eyes'\\nGROUP BY \\\"EYE\\\", \\\"YEAR\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"EYE\", \"YEAR\", \"row_count\"], \"rows\": [{\"EYE\": \"Green Eyes\", \"YEAR\": \"2006\", \"row_count\": 25}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1994\", \"row_count\": 13}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2007\", \"row_count\": 13}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2011\", \"row_count\": 12}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1999\", \"row_count\": 11}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2008\", \"row_count\": 11}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1988\", \"row_count\": 10}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1993\", \"row_count\": 10}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2010\", \"row_count\": 10}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1983\", \"row_count\": 9}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1982\", \"row_count\": 8}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1986\", \"row_count\": 8}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1998\", \"row_count\": 8}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2009\", \"row_count\": 8}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1987\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1989\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1990\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1992\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1995\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1997\", \"row_count\": 7}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1981\", \"row_count\": 6}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1985\", \"row_count\": 6}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1984\", \"row_count\": 5}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2000\", \"row_count\": 5}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2004\", \"row_count\": 5}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2005\", \"row_count\": 5}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1940\", \"row_count\": 4}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1965\", \"row_count\": 4}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1991\", \"row_count\": 4}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2003\", \"row_count\": 4}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1961\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1966\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1968\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1971\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1980\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"2001\", \"row_count\": 3}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1941\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1942\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1947\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1969\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1978\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1996\", \"row_count\": 2}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1943\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1944\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1955\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1958\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1960\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1964\", \"row_count\": 1}, {\"EYE\": \"Green Eyes\", \"YEAR\": \"1967\", \"row_count\": 1}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.29}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:42:21.735833+00:00",
+  "ended_at": "2026-05-19T15:42:36.131301+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_03681b5c99b9253d",
+    "problem_id": "v2p_c16_43dd6016c2c9de35",
+    "dataset_id": "c16",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=EYE, group_col_2=YEAR.",
+    "bindings": {
+      "group_col": "EYE",
+      "group_col_2": "YEAR",
+      "predicate_col": "EYE",
+      "predicate_op": "=",
+      "predicate_value": "Green Eyes",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 15.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=52"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/sql/v2q_c16_03681b5c99b9253d.sql",
+  "usage_summary": {
+    "dataset_id": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_03681b5c99b9253d",
+    "api_calls": 0,
+    "input_tokens": 14643,
+    "cached_input_tokens": 12032,
+    "output_tokens": 332,
+    "total_tokens": 14975,
+    "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": 14386.04,
+    "sql_execution_elapsed_ms_total": 3.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:36.125003+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": 14386.04, "started_at": "2026-05-19T15:42:21.737162+00:00", "ended_at": "2026-05-19T15:42:36.123236+00:00", "prompt_metrics": {"chars": 8782, "bytes_utf8": 8782, "lines": 256, "estimated_tokens": null}, "response_metrics": {"chars": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14643, "cached_input_tokens": 12032, "output_tokens": 332, "reasoning_output_tokens": 214}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"EYE\\\", \\\"YEAR\\\", COUNT(*) AS row_count\\nFROM \\\"c16\\\"\\nWHERE \\\"EYE\\\" = 'Green Eyes'\\nGROUP BY \\\"EYE\\\", \\\"YEAR\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the required filtered two-dimensional group count template with bindings group_col=\\\"EYE\\\", group_col_2=\\\"YEAR\\\", and predicate \\\"EYE\\\" = 'Green Eyes'. Identifier quoting uses double quotes for SQLite compatibility.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c16_03681b5c99b9253d",
+  "api_calls": 0,
+  "input_tokens": 14643,
+  "cached_input_tokens": 12032,
+  "output_tokens": 332,
+  "total_tokens": 14975,
+  "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": 14386.04,
+  "sql_execution_elapsed_ms_total": 3.29,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_03681b5c99b9253d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_043cdf1fd40e5858/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T16:07:01.521035+00:00",
+  "ended_at": "2026-05-19T16:07:08.952716+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_043cdf1fd40e5858",
+    "problem_id": "v2p_c16_569f3774cd7879db",
+    "dataset_id": "c16",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=GSM.",
+    "bindings": {
+      "group_col": "GSM",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 213203.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=123"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_043cdf1fd40e5858/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:04.774860+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3251.54, "started_at": "2026-05-19T16:07:01.522637+00:00", "ended_at": "2026-05-19T16:07:04.774203+00:00", "prompt_metrics": {"chars": 8470, "bytes_utf8": 8470, "lines": 250, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-979a-7632-b66d-acf783ca0009\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:07:08.952529+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3174.85, "started_at": "2026-05-19T16:07:05.776218+00:00", "ended_at": "2026-05-19T16:07:08.951115+00:00", "prompt_metrics": {"chars": 8470, "bytes_utf8": 8470, "lines": 250, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-a828-7380-8ee3-25840fc0a53e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_044fb57aa4f6a5e7/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T16:07:35.131308+00:00",
+  "ended_at": "2026-05-19T16:07:41.930485+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_044fb57aa4f6a5e7",
+    "problem_id": "v2p_c16_6d9e05559db5a09e",
+    "dataset_id": "c16",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=YEAR.",
+    "bindings": {
+      "group_col": "YEAR",
+      "top_k": 10,
+      "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": 2003.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_044fb57aa4f6a5e7/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:37.729946+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2596.1, "started_at": "2026-05-19T16:07:35.133167+00:00", "ended_at": "2026-05-19T16:07:37.729293+00:00", "prompt_metrics": {"chars": 8470, "bytes_utf8": 8470, "lines": 250, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-1ad2-78c3-a3ad-6b9850ff1de7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:07:41.930399+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3198.93, "started_at": "2026-05-19T16:07:38.730749+00:00", "ended_at": "2026-05-19T16:07:41.929709+00:00", "prompt_metrics": {"chars": 8470, "bytes_utf8": 8470, "lines": 250, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-28f4-7cd0-98ad-96b8c1b97a63\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/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=SEX, measure_col=APPEARANCES.
+Result preview: [{"SEX": "Male Characters", "group_value": 110911.0}, {"SEX": "Female Characters", "group_value": 42271.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/generated_sql.sql

@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c16
+-- 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_c16_0519eb075403405c
+-- problem_id: v2p_c16_6c39fa1280510347
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "SEX",
+    SUM(COALESCE(CAST(NULLIF("APPEARANCES", '') AS REAL), 0)) AS "group_value"
+  FROM "c16"
+  GROUP BY "SEX"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."SEX",
+  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/c16/artifacts/v2q_c16_0519eb075403405c/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"SEX\",\n    SUM(COALESCE(CAST(NULLIF(\"APPEARANCES\", '') AS REAL), 0)) AS \"group_value\"\n  FROM \"c16\"\n  GROUP BY \"SEX\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"SEX\",\n  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\\n    \\\"SEX\\\",\\n    SUM(COALESCE(CAST(NULLIF(\\\"APPEARANCES\\\", '') AS REAL), 0)) AS \\\"group_value\\\"\\n  FROM \\\"c16\\\"\\n  GROUP BY \\\"SEX\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"SEX\\\",\\n  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\": [\"SEX\", \"group_value\"], \"rows\": [{\"SEX\": \"Male Characters\", \"group_value\": 110911.0}, {\"SEX\": \"Female Characters\", \"group_value\": 42271.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.53}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:46:22.288151+00:00",
+  "ended_at": "2026-05-19T15:46:36.149863+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_0519eb075403405c",
+    "problem_id": "v2p_c16_6c39fa1280510347",
+    "dataset_id": "c16",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SEX, measure_col=APPEARANCES.",
+    "bindings": {
+      "group_col": "SEX",
+      "measure_col": "APPEARANCES",
+      "top_k": 18,
+      "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": 11.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=73"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "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/c16/sql/v2q_c16_0519eb075403405c.sql",
+  "usage_summary": {
+    "dataset_id": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_0519eb075403405c",
+    "api_calls": 0,
+    "input_tokens": 14690,
+    "cached_input_tokens": 12032,
+    "output_tokens": 747,
+    "total_tokens": 15437,
+    "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": 13846.42,
+    "sql_execution_elapsed_ms_total": 7.53,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:36.139133+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": 13846.42, "started_at": "2026-05-19T15:46:22.290707+00:00", "ended_at": "2026-05-19T15:46:36.137178+00:00", "prompt_metrics": {"chars": 9039, "bytes_utf8": 9039, "lines": 252, "estimated_tokens": null}, "response_metrics": {"chars": 755, "bytes_utf8": 755, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14690, "cached_input_tokens": 12032, "output_tokens": 747, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"SEX\\\",\\n    SUM(COALESCE(CAST(NULLIF(\\\"APPEARANCES\\\", '') AS REAL), 0)) AS \\\"group_value\\\"\\n  FROM \\\"c16\\\"\\n  GROUP BY \\\"SEX\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"SEX\\\",\\n  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\":\"Applies the planned relative-to-total threshold template with group_col=\\\"SEX\\\" and measure_col=\\\"APPEARANCES\\\". \\\"APPEARANCES\\\" is stored as TEXT in the schema snapshot, so the query casts it to REAL and treats empty strings as 0 before summing.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c16_0519eb075403405c",
+  "api_calls": 0,
+  "input_tokens": 14690,
+  "cached_input_tokens": 12032,
+  "output_tokens": 747,
+  "total_tokens": 15437,
+  "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": 13846.42,
+  "sql_execution_elapsed_ms_total": 7.53,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0519eb075403405c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9042, "bytes_utf8": 9042, "lines": 252, "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": 835, "bytes_utf8": 835, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14692, "cached_input_tokens": 13696, "output_tokens": 615, "reasoning_output_tokens": 385}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/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": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_0611709e20fee1c8",
+    "api_calls": 0,
+    "input_tokens": 14692,
+    "cached_input_tokens": 13696,
+    "output_tokens": 615,
+    "total_tokens": 15307,
+    "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": 12974.15,
+    "sql_execution_elapsed_ms_total": 3.85,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/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": "2026-05-19T15:47:56.296445+00:00",
+  "ended_at": "2026-05-19T15:48:09.270631+00:00",
+  "elapsed_ms": 12974.15,
+  "prompt_metrics": {
+    "chars": 9042,
+    "bytes_utf8": 9042,
+    "lines": 252,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1226,
+    "bytes_utf8": 1226,
+    "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": 835,
+      "bytes_utf8": 835,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14692,
+      "cached_input_tokens": 13696,
+      "output_tokens": 615,
+      "reasoning_output_tokens": 385
+    }
+  },
+  "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/c16/artifacts/v2q_c16_0611709e20fee1c8/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,252 @@
+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: c16
+- dataset_name: Fivethirtyeight Comic Characters Dataset
+- table_name: c16
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 12 feature columns and target `EYE`.
+- task_type: classification
+- target_column: EYE
+- main_row_count: 6896
+- important_fields:
+- page_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for page id.
+- name: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for name.
+- urlslug: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for urlslug.
+- ID: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'missingness_candidate'] desc=Identifier-like field for ID.
+- ALIGN: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ALIGN.
+- EYE: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for EYE.
+- HAIR: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for HAIR.
+- SEX: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for SEX.
+- GSM: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for GSM.
+- ALIVE: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ALIVE.
+- APPEARANCES: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for APPEARANCES.
+- FIRST APPEARANCE: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for FIRST APPEARANCE.
+- YEAR: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for YEAR.
+- useful_field_combinations: [['ALIGN', 'EYE', 'EYE'], ['ALIGN', 'APPEARANCES', 'EYE'], ['ALIGN', 'ALIGN', 'EYE']]
+- fields_requiring_caution: ['EYE', 'APPEARANCES', 'FIRST APPEARANCE', 'ID', 'ALIGN']
+- source_url: https://www.kaggle.com/datasets/fivethirtyeight/fivethirtyeight-comic-characters-dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "c16",
+  "quoted_table_name": "\"c16\"",
+  "row_count": 6896,
+  "columns": [
+    {
+      "name": "page_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "urlslug",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ALIGN",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "EYE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "HAIR",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SEX",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "GSM",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ALIVE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "APPEARANCES",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "FIRST APPEARANCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "YEAR",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "page_id": "1422",
+      "name": "Batman (Bruce Wayne)",
+      "urlslug": "\\/wiki\\/Batman_(Bruce_Wayne)",
+      "ID": "Secret Identity",
+      "ALIGN": "Good Characters",
+      "EYE": "Blue Eyes",
+      "HAIR": "Black Hair",
+      "SEX": "Male Characters",
+      "GSM": "",
+      "ALIVE": "Living Characters",
+      "APPEARANCES": "3093",
+      "FIRST APPEARANCE": "1939, May",
+      "YEAR": "1939"
+    },
+    {
+      "page_id": "23387",
+      "name": "Superman (Clark Kent)",
+      "urlslug": "\\/wiki\\/Superman_(Clark_Kent)",
+      "ID": "Secret Identity",
+      "ALIGN": "Good Characters",
+      "EYE": "Blue Eyes",
+      "HAIR": "Black Hair",
+      "SEX": "Male Characters",
+      "GSM": "",
+      "ALIVE": "Living Characters",
+      "APPEARANCES": "2496",
+      "FIRST APPEARANCE": "1986, October",
+      "YEAR": "1986"
+    },
+    {
+      "page_id": "1458",
+      "name": "Green Lantern (Hal Jordan)",
+      "urlslug": "\\/wiki\\/Green_Lantern_(Hal_Jordan)",
+      "ID": "Secret Identity",
+      "ALIGN": "Good Characters",
+      "EYE": "Brown Eyes",
+      "HAIR": "Brown Hair",
+      "SEX": "Male Characters",
+      "GSM": "",
+      "ALIVE": "Living Characters",
+      "APPEARANCES": "1565",
+      "FIRST APPEARANCE": "1959, October",
+      "YEAR": "1959"
+    },
+    {
+      "page_id": "1659",
+      "name": "James Gordon (New Earth)",
+      "urlslug": "\\/wiki\\/James_Gordon_(New_Earth)",
+      "ID": "Public Identity",
+      "ALIGN": "Good Characters",
+      "EYE": "Brown Eyes",
+      "HAIR": "White Hair",
+      "SEX": "Male Characters",
+      "GSM": "",
+      "ALIVE": "Living Characters",
+      "APPEARANCES": "1316",
+      "FIRST APPEARANCE": "1987, February",
+      "YEAR": "1987"
+    },
+    {
+      "page_id": "1576",
+      "name": "Richard Grayson (New Earth)",
+      "urlslug": "\\/wiki\\/Richard_Grayson_(New_Earth)",
+      "ID": "Secret Identity",
+      "ALIGN": "Good Characters",
+      "EYE": "Blue Eyes",
+      "HAIR": "Black Hair",
+      "SEX": "Male Characters",
+      "GSM": "",
+      "ALIVE": "Living Characters",
+      "APPEARANCES": "1237",
+      "FIRST APPEARANCE": "1940, April",
+      "YEAR": "1940"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c16",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=YEAR, measure_col=APPEARANCES.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "YEAR",
+    "measure_col": "APPEARANCES",
+    "top_k": 16,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 11.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-1e9d-75c1-aa09-e86cd502b13e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"YEAR\\\", SUM(CAST(\\\"APPEARANCES\\\" AS REAL)) AS group_value\\n    FROM \\\"c16\\\"\\n    WHERE \\\"YEAR\\\" IS NOT NULL\\n      AND \\\"YEAR\\\" <> ''\\n      AND \\\"APPEARANCES\\\" IS NOT NULL\\n      AND \\\"APPEARANCES\\\" <> ''\\n    GROUP BY \\\"YEAR\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"YEAR\\\", 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\":\"Uses the planned relative-to-total threshold template with group_col=\\\"YEAR\\\" and measure_col=\\\"APPEARANCES\\\". \\\"APPEARANCES\\\" is cast to REAL because the schema stores it as TEXT, and empty/null YEAR or APPEARANCES values are filtered out for a stable grouped aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14692,"cached_input_tokens":13696,"output_tokens":615,"reasoning_output_tokens":385}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0611709e20fee1c8/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"YEAR\", SUM(CAST(\"APPEARANCES\" AS REAL)) AS group_value\n    FROM \"c16\"\n    WHERE \"YEAR\" IS NOT NULL\n      AND \"YEAR\" <> ''\n      AND \"APPEARANCES\" IS NOT NULL\n      AND \"APPEARANCES\" <> ''\n    GROUP BY \"YEAR\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"YEAR\", 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":"Uses the planned relative-to-total threshold template with group_col=\"YEAR\" and measure_col=\"APPEARANCES\". \"APPEARANCES\" is cast to REAL because the schema stores it as TEXT, and empty/null YEAR or APPEARANCES values are filtered out for a stable grouped aggregation."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_063c8e096f140bdf/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:55:49.879652+00:00",
+  "ended_at": "2026-05-19T15:55:56.977183+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_063c8e096f140bdf",
+    "problem_id": "v2p_c16_087d7c4612c0be27",
+    "dataset_id": "c16",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=GSM, measure_col=APPEARANCES.",
+    "bindings": {
+      "group_col": "GSM",
+      "measure_col": "APPEARANCES",
+      "top_k": 13,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 15.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=88"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_063c8e096f140bdf/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:55:53.015793+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3133.09, "started_at": "2026-05-19T15:55:49.881508+00:00", "ended_at": "2026-05-19T15:55:53.014623+00:00", "prompt_metrics": {"chars": 8662, "bytes_utf8": 8662, "lines": 252, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-5803-7940-bcf2-8121144f8ea9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:55:56.976783+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2957.8, "started_at": "2026-05-19T15:55:54.017248+00:00", "ended_at": "2026-05-19T15:55:56.975090+00:00", "prompt_metrics": {"chars": 8662, "bytes_utf8": 8662, "lines": 252, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-6835-7720-8636-18220b46f186\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=HAIR, group_col_2=GSM.
+Result preview: [{"HAIR": "", "GSM": "", "row_count": 1}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/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: c16
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_c16_08018b6323e9cef0
+-- problem_id: v2p_c16_a3f6b7953de7d714
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "HAIR", "GSM", COUNT(*) AS "row_count"
+FROM "c16"
+WHERE "SEX" = 'Transgender Characters'
+GROUP BY "HAIR", "GSM"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"HAIR\", \"GSM\", COUNT(*) AS \"row_count\"\nFROM \"c16\"\nWHERE \"SEX\" = 'Transgender Characters'\nGROUP BY \"HAIR\", \"GSM\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"HAIR\\\", \\\"GSM\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c16\\\"\\nWHERE \\\"SEX\\\" = 'Transgender Characters'\\nGROUP BY \\\"HAIR\\\", \\\"GSM\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"HAIR\", \"GSM\", \"row_count\"], \"rows\": [{\"HAIR\": \"\", \"GSM\": \"\", \"row_count\": 1}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.34}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:42:47.728036+00:00",
+  "ended_at": "2026-05-19T15:43:00.475901+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_08018b6323e9cef0",
+    "problem_id": "v2p_c16_a3f6b7953de7d714",
+    "dataset_id": "c16",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=HAIR, group_col_2=GSM.",
+    "bindings": {
+      "group_col": "HAIR",
+      "group_col_2": "GSM",
+      "predicate_col": "SEX",
+      "predicate_op": "=",
+      "predicate_value": "Transgender Characters",
+      "top_k": 14,
+      "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": 213203.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=54"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/sql/v2q_c16_08018b6323e9cef0.sql",
+  "usage_summary": {
+    "dataset_id": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_08018b6323e9cef0",
+    "api_calls": 0,
+    "input_tokens": 14646,
+    "cached_input_tokens": 13696,
+    "output_tokens": 449,
+    "total_tokens": 15095,
+    "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": 12743.15,
+    "sql_execution_elapsed_ms_total": 1.34,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:43:00.473300+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": 12743.15, "started_at": "2026-05-19T15:42:47.729414+00:00", "ended_at": "2026-05-19T15:43:00.472590+00:00", "prompt_metrics": {"chars": 8798, "bytes_utf8": 8798, "lines": 256, "estimated_tokens": null}, "response_metrics": {"chars": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14646, "cached_input_tokens": 13696, "output_tokens": 449, "reasoning_output_tokens": 332}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"HAIR\\\", \\\"GSM\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c16\\\"\\nWHERE \\\"SEX\\\" = 'Transgender Characters'\\nGROUP BY \\\"HAIR\\\", \\\"GSM\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"HAIR\\\" and \\\"GSM\\\" as grouping columns, filtered to rows where \\\"SEX\\\" = 'Transgender Characters'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c16_08018b6323e9cef0",
+  "api_calls": 0,
+  "input_tokens": 14646,
+  "cached_input_tokens": 13696,
+  "output_tokens": 449,
+  "total_tokens": 15095,
+  "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": 12743.15,
+  "sql_execution_elapsed_ms_total": 1.34,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_08018b6323e9cef0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/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=ALIVE, measure_col=page_id.
+Result preview: [{"ALIVE": "", "FIRST APPEARANCE": "1997, January", "total_measure": 293107.0, "share_within_group": 34.795682636763594}, {"ALIVE": "", "FIRST APPEARANCE": "1974, October", "total_measure": 285581.0, "share_within_group": 33.90224676684482}, {"ALIVE": "", "FIRST APPEARANCE": "1992, November", "total_measure": 263678.0, "share_within_group": 31.30207059639159}, {"ALIVE": "Living Characters", "FIRST APPEARANCE": "2010, December", "total_measure": 16294800.0, "share_within_group": 2.099438951648919}, {"ALIVE": "Living Characters", "FIRST APPEARANCE": "", "total_measure": 11427907.0, "share_within_group": 1.472383404007496}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c16
+-- 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_c16_0ac334183130637b
+-- problem_id: v2p_c16_fe3b9c97b058bae0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "ALIVE",
+  "FIRST APPEARANCE",
+  SUM(CAST("page_id" AS REAL)) AS "total_measure",
+  SUM(CAST("page_id" AS REAL)) * 100.0 / SUM(SUM(CAST("page_id" AS REAL))) OVER (PARTITION BY "ALIVE") AS "share_within_group"
+FROM "c16"
+GROUP BY "ALIVE", "FIRST APPEARANCE"
+ORDER BY "share_within_group" DESC
+LIMIT 18;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/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  \"ALIVE\",\n  \"FIRST APPEARANCE\",\n  SUM(CAST(\"page_id\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"page_id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"page_id\" AS REAL))) OVER (PARTITION BY \"ALIVE\") AS \"share_within_group\"\nFROM \"c16\"\nGROUP BY \"ALIVE\", \"FIRST APPEARANCE\"\nORDER BY \"share_within_group\" DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ALIVE\\\",\\n  \\\"FIRST APPEARANCE\\\",\\n  SUM(CAST(\\\"page_id\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"page_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"page_id\\\" AS REAL))) OVER (PARTITION BY \\\"ALIVE\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c16\\\"\\nGROUP BY \\\"ALIVE\\\", \\\"FIRST APPEARANCE\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\", \"columns\": [\"ALIVE\", \"FIRST APPEARANCE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ALIVE\": \"\", \"FIRST APPEARANCE\": \"1997, January\", \"total_measure\": 293107.0, \"share_within_group\": 34.795682636763594}, {\"ALIVE\": \"\", \"FIRST APPEARANCE\": \"1974, October\", \"total_measure\": 285581.0, \"share_within_group\": 33.90224676684482}, {\"ALIVE\": \"\", \"FIRST APPEARANCE\": \"1992, November\", \"total_measure\": 263678.0, \"share_within_group\": 31.30207059639159}, {\"ALIVE\": \"Living Characters\", \"FIRST APPEARANCE\": \"2010, December\", \"total_measure\": 16294800.0, \"share_within_group\": 2.099438951648919}, {\"ALIVE\": \"Living Characters\", \"FIRST APPEARANCE\": \"\", \"total_measure\": 11427907.0, \"share_within_group\": 1.472383404007496}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"2009, August\", \"total_measure\": 2760513.0, \"share_within_group\": 1.1513555348920081}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"2009, October\", \"total_measure\": 2651258.0, \"share_within_group\": 1.1057874289042349}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1993, August\", \"total_measure\": 2580069.0, \"share_within_group\": 1.076095900853678}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1989, May\", \"total_measure\": 2453007.0, \"share_within_group\": 1.0231008463205356}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"2008, February\", \"total_measure\": 2401906.0, \"share_within_group\": 1.0017876269339516}, {\"ALIVE\": \"Living Characters\", \"FIRST APPEARANCE\": \"1996, September\", \"total_measure\": 7637089.0, \"share_within_group\": 0.9839704767048072}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1983, September\", \"total_measure\": 2135038.0, \"share_within_group\": 0.8904822467797701}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1988, December\", \"total_measure\": 2129532.0, \"share_within_group\": 0.8881858027582729}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1983, August\", \"total_measure\": 2093888.0, \"share_within_group\": 0.873319393259136}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1987, November\", \"total_measure\": 2081425.0, \"share_within_group\": 0.8681213217299097}, {\"ALIVE\": \"Living Characters\", \"FIRST APPEARANCE\": \"2009, October\", \"total_measure\": 6295451.0, \"share_within_group\": 0.8111124436996551}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1988, September\", \"total_measure\": 1821376.0, \"share_within_group\": 0.7596600120048217}, {\"ALIVE\": \"Deceased Characters\", \"FIRST APPEARANCE\": \"1996, August\", \"total_measure\": 1777400.0, \"share_within_group\": 0.7413184896130014}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 21.77}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T15:38:48.775136+00:00",
+  "ended_at": "2026-05-19T15:39:02.817107+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_0ac334183130637b",
+    "problem_id": "v2p_c16_fe3b9c97b058bae0",
+    "dataset_id": "c16",
+    "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=ALIVE, measure_col=page_id.",
+    "bindings": {
+      "group_col": "ALIVE",
+      "measure_col": "page_id",
+      "item_col": "FIRST APPEARANCE",
+      "top_k": 18,
+      "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": 187526.7,
+      "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=10",
+      "sql_variant_index=2/2",
+      "binding_index=33"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 10,
+    "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/c16/sql/v2q_c16_0ac334183130637b.sql",
+  "usage_summary": {
+    "dataset_id": "c16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c16_0ac334183130637b",
+    "api_calls": 0,
+    "input_tokens": 14675,
+    "cached_input_tokens": 12032,
+    "output_tokens": 730,
+    "total_tokens": 15405,
+    "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": 14013.36,
+    "sql_execution_elapsed_ms_total": 21.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:02.792145+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": 14013.36, "started_at": "2026-05-19T15:38:48.776982+00:00", "ended_at": "2026-05-19T15:39:02.790496+00:00", "prompt_metrics": {"chars": 8903, "bytes_utf8": 8903, "lines": 254, "estimated_tokens": null}, "response_metrics": {"chars": 722, "bytes_utf8": 722, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14675, "cached_input_tokens": 12032, "output_tokens": 730, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ALIVE\\\",\\n  \\\"FIRST APPEARANCE\\\",\\n  SUM(CAST(\\\"page_id\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"page_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"page_id\\\" AS REAL))) OVER (PARTITION BY \\\"ALIVE\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c16\\\"\\nGROUP BY \\\"ALIVE\\\", \\\"FIRST APPEARANCE\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=\\\"ALIVE\\\", item_col=\\\"FIRST APPEARANCE\\\", and measure_col=\\\"page_id\\\". \\\"page_id\\\" is stored as TEXT in the schema, so it is cast to REAL for SQLite aggregation. This computes within-ALIVE shares based on summed page_id values, not row counts.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c16_0ac334183130637b",
+  "api_calls": 0,
+  "input_tokens": 14675,
+  "cached_input_tokens": 12032,
+  "output_tokens": 730,
+  "total_tokens": 15405,
+  "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": 14013.36,
+  "sql_execution_elapsed_ms_total": 21.77,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0ac334183130637b/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0c5e13351b1a73a0/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Bad Characters", "support": 2895, "support_share": 0.41980858468677495, "support_rank": 1}, {"value_label": "Good Characters", "support": 2832, "support_share": 0.41067285382830626, "support_rank": 2}, {"value_label": "", "support": 601, "support_share": 0.08715197215777262, "support_rank": 3}, {"value_label": "Neutral Characters", "support": 565, "support_share": 0.08193155452436195, "support_rank": 4}, {"value_label": "Reformed Criminals", "support": 3, "support_share": 0.0004350348027842227, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0c5e13351b1a73a0/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c16
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_c16_0c5e13351b1a73a0
+-- problem_id: v2p_c16_1aaedbc26241c569
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "ALIGN" AS value_label, COUNT(*) AS support
+    FROM "c16"
+    GROUP BY "ALIGN"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0c5e13351b1a73a0/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c16\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c16_0c5e13351b1a73a0\n-- problem_id: v2p_c16_1aaedbc26241c569\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"ALIGN\" AS value_label, COUNT(*) AS support\n    FROM \"c16\"\n    GROUP BY \"ALIGN\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c16\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c16_0c5e13351b1a73a0\\n-- problem_id: v2p_c16_1aaedbc26241c569\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"ALIGN\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c16\\\"\\n    GROUP BY \\\"ALIGN\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Bad Characters\", \"support\": 2895, \"support_share\": 0.41980858468677495, \"support_rank\": 1}, {\"value_label\": \"Good Characters\", \"support\": 2832, \"support_share\": 0.41067285382830626, \"support_rank\": 2}, {\"value_label\": \"\", \"support\": 601, \"support_share\": 0.08715197215777262, \"support_rank\": 3}, {\"value_label\": \"Neutral Characters\", \"support\": 565, \"support_share\": 0.08193155452436195, \"support_rank\": 4}, {\"value_label\": \"Reformed Criminals\", \"support\": 3, \"support_share\": 0.0004350348027842227, \"support_rank\": 5}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.81}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0c5e13351b1a73a0/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c16",
+  "started_at": "2026-05-19T16:10:30.475301+00:00",
+  "ended_at": "2026-05-19T16:10:30.478853+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c16_0c5e13351b1a73a0",
+    "problem_id": "v2p_c16_1aaedbc26241c569",
+    "dataset_id": "c16",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ALIGN.",
+    "bindings": {
+      "group_col": "ALIGN"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c16/sql/v2q_c16_0c5e13351b1a73a0.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0c5e13351b1a73a0/usage_summary.json

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c16/artifacts/v2q_c16_0f7ac4ff2707e5fd/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8731, "bytes_utf8": 8731, "lines": 255, "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": 508, "bytes_utf8": 508, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14612, "cached_input_tokens": 12032, "output_tokens": 647, "reasoning_output_tokens": 516}}