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Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/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=children, measure_col=bmi.
+Result preview: [{"children": "0", "group_value": 36325.41}, {"children": "1", "group_value": 20634.26}, {"children": "2", "group_value": 15393.76}, {"children": "3", "group_value": 9907.92}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/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: m4
+-- 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_m4_000ca3051527f46d
+-- problem_id: v2p_m4_d5b26a255d89f278
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "children", SUM(CAST("bmi" AS REAL)) AS group_value
+    FROM "m4"
+    GROUP BY "children"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."children", 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/m4/artifacts/v2q_m4_000ca3051527f46d/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 \"children\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n    FROM \"m4\"\n    GROUP BY \"children\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"children\", 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 \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"children\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"children\\\", 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\": [\"children\", \"group_value\"], \"rows\": [{\"children\": \"0\", \"group_value\": 36325.41}, {\"children\": \"1\", \"group_value\": 20634.26}, {\"children\": \"2\", \"group_value\": 15393.76}, {\"children\": \"3\", \"group_value\": 9907.92}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.44}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:41:43.369064+00:00",
+  "ended_at": "2026-05-19T15:41:56.598424+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_000ca3051527f46d",
+    "problem_id": "v2p_m4_d5b26a255d89f278",
+    "dataset_id": "m4",
+    "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=children, measure_col=bmi.",
+    "bindings": {
+      "group_col": "children",
+      "measure_col": "bmi",
+      "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": 34.77,
+      "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/m4/sql/v2q_m4_000ca3051527f46d.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_000ca3051527f46d",
+    "api_calls": 0,
+    "input_tokens": 13808,
+    "cached_input_tokens": 12672,
+    "output_tokens": 499,
+    "total_tokens": 14307,
+    "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": 13222.37,
+    "sql_execution_elapsed_ms_total": 2.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:41:56.594229+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": 13222.37, "started_at": "2026-05-19T15:41:43.370699+00:00", "ended_at": "2026-05-19T15:41:56.593108+00:00", "prompt_metrics": {"chars": 5850, "bytes_utf8": 5850, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12672, "output_tokens": 499, "reasoning_output_tokens": 336}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"children\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_000ca3051527f46d",
+  "api_calls": 0,
+  "input_tokens": 13808,
+  "cached_input_tokens": 12672,
+  "output_tokens": 499,
+  "total_tokens": 14307,
+  "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": 13222.37,
+  "sql_execution_elapsed_ms_total": 2.44,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/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=sex, group_col_2=smoker.
+Result preview: [{"sex": "male", "smoker": "yes", "row_count": 312}, {"sex": "female", "smoker": "yes", "row_count": 214}, {"sex": "female", "smoker": "no", "row_count": 86}, {"sex": "male", "smoker": "no", "row_count": 82}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/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: m4
+-- 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_m4_0094e2309060cdf8
+-- problem_id: v2p_m4_81c28703029afd50
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "sex", "smoker", COUNT(*) AS "row_count"
+FROM "m4"
+WHERE CAST("charges" AS REAL) >= 16577.7795
+GROUP BY "sex", "smoker"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/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 \"sex\", \"smoker\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE CAST(\"charges\" AS REAL) >= 16577.7795\nGROUP BY \"sex\", \"smoker\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"sex\", \"smoker\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"smoker\": \"yes\", \"row_count\": 312}, {\"sex\": \"female\", \"smoker\": \"yes\", \"row_count\": 214}, {\"sex\": \"female\", \"smoker\": \"no\", \"row_count\": 86}, {\"sex\": \"male\", \"smoker\": \"no\", \"row_count\": 82}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.6}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:39:28.108969+00:00",
+  "ended_at": "2026-05-19T15:39:46.229462+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_0094e2309060cdf8",
+    "problem_id": "v2p_m4_81c28703029afd50",
+    "dataset_id": "m4",
+    "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=sex, group_col_2=smoker.",
+    "bindings": {
+      "group_col": "sex",
+      "group_col_2": "smoker",
+      "predicate_col": "charges",
+      "predicate_op": ">=",
+      "predicate_value": 16577.7795,
+      "top_k": 10,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 34.77,
+      "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=8",
+      "sql_variant_index=1/1",
+      "binding_index=55"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0094e2309060cdf8.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_0094e2309060cdf8",
+    "api_calls": 0,
+    "input_tokens": 13767,
+    "cached_input_tokens": 12032,
+    "output_tokens": 479,
+    "total_tokens": 14246,
+    "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": 18114.93,
+    "sql_execution_elapsed_ms_total": 1.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:46.226356+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": 18114.93, "started_at": "2026-05-19T15:39:28.110186+00:00", "ended_at": "2026-05-19T15:39:46.225149+00:00", "prompt_metrics": {"chars": 5606, "bytes_utf8": 5606, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 467, "bytes_utf8": 467, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13767, "cached_input_tokens": 12032, "output_tokens": 479, "reasoning_output_tokens": 348}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"sex\\\", group_col_2=\\\"smoker\\\", and predicate on \\\"charges\\\". CAST(\\\"charges\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_0094e2309060cdf8",
+  "api_calls": 0,
+  "input_tokens": 13767,
+  "cached_input_tokens": 12032,
+  "output_tokens": 479,
+  "total_tokens": 14246,
+  "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": 18114.93,
+  "sql_execution_elapsed_ms_total": 1.6,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/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=sex, condition_col=charges.
+Result preview: [{"sex": "male", "condition_ratio": 1.0}, {"sex": "female", "condition_ratio": null}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/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: m4
+-- 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_m4_00dbb372c27adbbd
+-- problem_id: v2p_m4_97df06abb89e02a4
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "sex",
+           SUM(CASE WHEN CAST("charges" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN CAST("charges" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m4"
+    GROUP BY "sex"
+)
+SELECT "sex",
+       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/m4/artifacts/v2q_m4_00dbb372c27adbbd/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 \"sex\",\n           SUM(CASE WHEN CAST(\"charges\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN CAST(\"charges\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"m4\"\n    GROUP BY \"sex\"\n)\nSELECT \"sex\",\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 \\\"sex\\\",\\n           SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"sex\", \"condition_ratio\"], \"rows\": [{\"sex\": \"male\", \"condition_ratio\": 1.0}, {\"sex\": \"female\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.11}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:37:30.880341+00:00",
+  "ended_at": "2026-05-19T15:37:43.063171+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_00dbb372c27adbbd",
+    "problem_id": "v2p_m4_97df06abb89e02a4",
+    "dataset_id": "m4",
+    "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=sex, condition_col=charges.",
+    "bindings": {
+      "group_col": "sex",
+      "condition_col": "charges",
+      "condition_value": "10096.97",
+      "positive_value": "10096.97",
+      "negative_value": "10602.385",
+      "top_k": 10,
+      "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": 34.77,
+      "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=5",
+      "sql_variant_index=1/1",
+      "binding_index=40"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "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/m4/sql/v2q_m4_00dbb372c27adbbd.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_00dbb372c27adbbd",
+    "api_calls": 0,
+    "input_tokens": 13887,
+    "cached_input_tokens": 12672,
+    "output_tokens": 619,
+    "total_tokens": 14506,
+    "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": 12172.08,
+    "sql_execution_elapsed_ms_total": 5.11,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:43.055285+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": 12172.08, "started_at": "2026-05-19T15:37:30.881619+00:00", "ended_at": "2026-05-19T15:37:43.053734+00:00", "prompt_metrics": {"chars": 6121, "bytes_utf8": 6121, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 756, "bytes_utf8": 756, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13887, "cached_input_tokens": 12672, "output_tokens": 619, "reasoning_output_tokens": 419}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"sex\\\",\\n           SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the required grouped ratio template with group_col bound to \\\"sex\\\" and condition_col bound to \\\"charges\\\". Since \\\"charges\\\" is stored as TEXT in the schema snapshot, the query casts it to REAL before comparing to the provided bound values.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_00dbb372c27adbbd",
+  "api_calls": 0,
+  "input_tokens": 13887,
+  "cached_input_tokens": 12672,
+  "output_tokens": 619,
+  "total_tokens": 14506,
+  "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": 12172.08,
+  "sql_execution_elapsed_ms_total": 5.11,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=children.
+Result preview: [{"children": "5", "support": 42}, {"children": "4", "support": 52}, {"children": "3", "support": 324}, {"children": "2", "support": 496}, {"children": "1", "support": 672}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: m4
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m4_01f603f86184ebe4
+-- problem_id: v2p_m4_9b6d0cb30745abad
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "children",
+    COUNT(*) AS support
+FROM "m4"
+GROUP BY "children"
+ORDER BY support ASC, "children"
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"children\",\n    COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY support ASC, \"children\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"children\\\",\\n    COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 16;\", \"columns\": [\"children\", \"support\"], \"rows\": [{\"children\": \"5\", \"support\": 42}, {\"children\": \"4\", \"support\": 52}, {\"children\": \"3\", \"support\": 324}, {\"children\": \"2\", \"support\": 496}, {\"children\": \"1\", \"support\": 672}, {\"children\": \"0\", \"support\": 1186}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.32}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:57:27.279730+00:00",
+  "ended_at": "2026-05-19T15:57:39.157188+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_01f603f86184ebe4",
+    "problem_id": "v2p_m4_9b6d0cb30745abad",
+    "dataset_id": "m4",
+    "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": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=children.",
+    "bindings": {
+      "group_col": "children",
+      "top_k": 16,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 34.77,
+      "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=2",
+      "sql_variant_index=2/2",
+      "binding_index=121"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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/m4/sql/v2q_m4_01f603f86184ebe4.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_01f603f86184ebe4",
+    "api_calls": 0,
+    "input_tokens": 13681,
+    "cached_input_tokens": 12672,
+    "output_tokens": 229,
+    "total_tokens": 13910,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10870.5,
+    "sql_execution_elapsed_ms_total": 1.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:57:30.566906+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": 3285.15, "started_at": "2026-05-19T15:57:27.280583+00:00", "ended_at": "2026-05-19T15:57:30.565763+00:00", "prompt_metrics": {"chars": 5296, "bytes_utf8": 5296, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-d476-76e0-a4db-d5a8d821e650\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:57:39.154500+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7585.35, "started_at": "2026-05-19T15:57:31.568360+00:00", "ended_at": "2026-05-19T15:57:39.153752+00:00", "prompt_metrics": {"chars": 5296, "bytes_utf8": 5296, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 306, "bytes_utf8": 306, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12672, "output_tokens": 229, "reasoning_output_tokens": 141}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"children\\\",\\n    COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 16;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"children\\\" and top_k set to 16.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_01f603f86184ebe4",
+  "api_calls": 0,
+  "input_tokens": 13681,
+  "cached_input_tokens": 12672,
+  "output_tokens": 229,
+  "total_tokens": 13910,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10870.5,
+  "sql_execution_elapsed_ms_total": 1.32,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:57:12.412115+00:00",
+  "ended_at": "2026-05-19T15:57:19.696545+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_021ef09f39511857",
+    "problem_id": "v2p_m4_2b35e7cc37563578",
+    "dataset_id": "m4",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "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_set_consistency with semantic role count_distribution. Focus on group_col=sex.",
+    "bindings": {
+      "group_col": "sex",
+      "top_k": 15,
+      "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": 51.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=120"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:57:15.202273+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": 2788.5, "started_at": "2026-05-19T15:57:12.412876+00:00", "ended_at": "2026-05-19T15:57:15.201402+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-9a55-7202-813e-178958d66ddc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:57:19.696459+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": 3492.12, "started_at": "2026-05-19T15:57:16.203587+00:00", "ended_at": "2026-05-19T15:57:19.695755+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-a93a-74d1-8bf5-67576cbe1e39\"}\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/m4/artifacts/v2q_m4_03309d2c0c31ef62/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=smoker, measure_col=children.
+Result preview: [{"smoker": "no", "group_value": 2424.0}, {"smoker": "yes", "group_value": 630.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/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: m4
+-- 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_m4_03309d2c0c31ef62
+-- problem_id: v2p_m4_c2836abb4af685eb
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT "smoker", SUM(CAST("children" AS REAL)) AS "group_value"
+    FROM "m4"
+    GROUP BY "smoker"
+), "total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT g."smoker", 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/m4/artifacts/v2q_m4_03309d2c0c31ef62/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 \"smoker\", SUM(CAST(\"children\" AS REAL)) AS \"group_value\"\n    FROM \"m4\"\n    GROUP BY \"smoker\"\n), \"total\" AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM \"grouped\"\n)\nSELECT g.\"smoker\", 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 \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"smoker\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"smoker\\\", 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\": [\"smoker\", \"group_value\"], \"rows\": [{\"smoker\": \"no\", \"group_value\": 2424.0}, {\"smoker\": \"yes\", \"group_value\": 630.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.05}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:42:23.517055+00:00",
+  "ended_at": "2026-05-19T15:42:39.381215+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_03309d2c0c31ef62",
+    "problem_id": "v2p_m4_c2836abb4af685eb",
+    "dataset_id": "m4",
+    "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=smoker, measure_col=children.",
+    "bindings": {
+      "group_col": "smoker",
+      "measure_col": "children",
+      "top_k": 19,
+      "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": 1.0,
+      "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=3",
+      "sql_variant_index=2/2",
+      "binding_index=74"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 3,
+    "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/m4/sql/v2q_m4_03309d2c0c31ef62.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_03309d2c0c31ef62",
+    "api_calls": 0,
+    "input_tokens": 13809,
+    "cached_input_tokens": 12672,
+    "output_tokens": 552,
+    "total_tokens": 14361,
+    "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": 15855.23,
+    "sql_execution_elapsed_ms_total": 3.05,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:39.375235+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": 15855.23, "started_at": "2026-05-19T15:42:23.518358+00:00", "ended_at": "2026-05-19T15:42:39.373628+00:00", "prompt_metrics": {"chars": 5856, "bytes_utf8": 5856, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 653, "bytes_utf8": 653, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13809, "cached_input_tokens": 12672, "output_tokens": 552, "reasoning_output_tokens": 363}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m4\\\"\\n    GROUP BY \\\"smoker\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"smoker\\\", 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 template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". CAST(\\\"children\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_03309d2c0c31ef62",
+  "api_calls": 0,
+  "input_tokens": 13809,
+  "cached_input_tokens": 12672,
+  "output_tokens": 552,
+  "total_tokens": 14361,
+  "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": 15855.23,
+  "sql_execution_elapsed_ms_total": 3.05,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=region.
+Result preview: [{"region": "southeast", "condition_rate": 1.0}, {"region": "southwest", "condition_rate": 0.0}, {"region": "northwest", "condition_rate": 0.0}, {"region": "northeast", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/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: m4
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m4_070f61326664844d
+-- problem_id: v2p_m4_305da64bec96af8b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "region",
+  AVG(CASE WHEN "region" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m4"
+GROUP BY "region"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/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\n  \"region\",\n  AVG(CASE WHEN \"region\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n  \\\"region\\\",\\n  AVG(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"region\", \"condition_rate\"], \"rows\": [{\"region\": \"southeast\", \"condition_rate\": 1.0}, {\"region\": \"southwest\", \"condition_rate\": 0.0}, {\"region\": \"northwest\", \"condition_rate\": 0.0}, {\"region\": \"northeast\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.3}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:54:20.221027+00:00",
+  "ended_at": "2026-05-19T15:54:31.618934+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_070f61326664844d",
+    "problem_id": "v2p_m4_305da64bec96af8b",
+    "dataset_id": "m4",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=region.",
+    "bindings": {
+      "group_col": "region",
+      "condition_col": "region",
+      "condition_value": "southeast",
+      "positive_value": "southeast",
+      "negative_value": "southwest",
+      "top_k": 14,
+      "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": 51.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=99"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_070f61326664844d.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_070f61326664844d",
+    "api_calls": 0,
+    "input_tokens": 13735,
+    "cached_input_tokens": 12672,
+    "output_tokens": 370,
+    "total_tokens": 14105,
+    "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": 11392.39,
+    "sql_execution_elapsed_ms_total": 1.3,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:54:31.615902+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": 11392.39, "started_at": "2026-05-19T15:54:20.222746+00:00", "ended_at": "2026-05-19T15:54:31.615164+00:00", "prompt_metrics": {"chars": 5556, "bytes_utf8": 5556, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 516, "bytes_utf8": 516, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13735, "cached_input_tokens": 12672, "output_tokens": 370, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n  \\\"region\\\",\\n  AVG(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"region\\\" and condition_value set to 'southeast'. Because the grouping column matches the condition column, the resulting rate is 1 for the southeast group and 0 for all other regions.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_070f61326664844d",
+  "api_calls": 0,
+  "input_tokens": 13735,
+  "cached_input_tokens": 12672,
+  "output_tokens": 370,
+  "total_tokens": 14105,
+  "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": 11392.39,
+  "sql_execution_elapsed_ms_total": 1.3,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/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=sex, group_col_2=children.
+Result preview: [{"sex": "female", "children": "0", "row_count": 146}, {"sex": "male", "children": "0", "row_count": 122}, {"sex": "male", "children": "1", "row_count": 84}, {"sex": "male", "children": "2", "row_count": 70}, {"sex": "female", "children": "1", "row_count": 66}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/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: m4
+-- 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_m4_0a083dc9d3769bf4
+-- problem_id: v2p_m4_595fe9fddf790104
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "sex", "children", COUNT(*) AS row_count
+FROM "m4"
+WHERE "region" = 'northwest'
+GROUP BY "sex", "children"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/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 \"sex\", \"children\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE \"region\" = 'northwest'\nGROUP BY \"sex\", \"children\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"region\\\" = 'northwest'\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"sex\", \"children\", \"row_count\"], \"rows\": [{\"sex\": \"female\", \"children\": \"0\", \"row_count\": 146}, {\"sex\": \"male\", \"children\": \"0\", \"row_count\": 122}, {\"sex\": \"male\", \"children\": \"1\", \"row_count\": 84}, {\"sex\": \"male\", \"children\": \"2\", \"row_count\": 70}, {\"sex\": \"female\", \"children\": \"1\", \"row_count\": 66}, {\"sex\": \"female\", \"children\": \"2\", \"row_count\": 64}, {\"sex\": \"female\", \"children\": \"3\", \"row_count\": 54}, {\"sex\": \"male\", \"children\": \"3\", \"row_count\": 42}, {\"sex\": \"male\", \"children\": \"4\", \"row_count\": 8}, {\"sex\": \"female\", \"children\": \"4\", \"row_count\": 4}, {\"sex\": \"female\", \"children\": \"5\", \"row_count\": 4}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.55}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "m4",
+  "started_at": "2026-05-19T15:39:19.381999+00:00",
+  "ended_at": "2026-05-19T15:39:28.107957+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m4_0a083dc9d3769bf4",
+    "problem_id": "v2p_m4_595fe9fddf790104",
+    "dataset_id": "m4",
+    "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=sex, group_col_2=children.",
+    "bindings": {
+      "group_col": "sex",
+      "group_col_2": "children",
+      "predicate_col": "region",
+      "predicate_op": "=",
+      "predicate_value": "northwest",
+      "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": 51.0,
+      "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/m4/sql/v2q_m4_0a083dc9d3769bf4.sql",
+  "usage_summary": {
+    "dataset_id": "m4",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m4_0a083dc9d3769bf4",
+    "api_calls": 0,
+    "input_tokens": 13761,
+    "cached_input_tokens": 12672,
+    "output_tokens": 317,
+    "total_tokens": 14078,
+    "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": 8720.35,
+    "sql_execution_elapsed_ms_total": 1.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:28.104450+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": 8720.35, "started_at": "2026-05-19T15:39:19.382932+00:00", "ended_at": "2026-05-19T15:39:28.103306+00:00", "prompt_metrics": {"chars": 5609, "bytes_utf8": 5609, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13761, "cached_input_tokens": 12672, "output_tokens": 317, "reasoning_output_tokens": 215}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"region\\\" = 'northwest'\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applies the specified filtered two-dimensional group count template with \\\"sex\\\" and \\\"children\\\", filtered to rows where \\\"region\\\" = 'northwest'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m4",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m4_0a083dc9d3769bf4",
+  "api_calls": 0,
+  "input_tokens": 13761,
+  "cached_input_tokens": 12672,
+  "output_tokens": 317,
+  "total_tokens": 14078,
+  "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": 8720.35,
+  "sql_execution_elapsed_ms_total": 1.55,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T15:57:19.697811+00:00",
+  "ended_at": "2026-05-19T15:57:22.934139+00:00",
+  "elapsed_ms": 3236.3,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5294,
+    "bytes_utf8": 5294,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "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/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "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": "2026-05-19T15:57:23.936646+00:00",
+  "ended_at": "2026-05-19T15:57:27.278569+00:00",
+  "elapsed_ms": 3341.88,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5294,
+    "bytes_utf8": 5294,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,178 @@
+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: m4
+- dataset_name: Medical Insurance Charges
+- table_name: m4
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one insured individual/profile with associated medical insurance charge.
+- task_type: regression
+- target_column: charges
+- main_row_count: 2772
+- important_fields:
+- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years.
+- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category.
+- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index.
+- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children.
+- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status.
+- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category.
+- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges.
+- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']]
+- fields_requiring_caution: ['charges', 'smoker', 'sex']
+- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data
+
+SQLite schema snapshot:
+{
+  "table_name": "m4",
+  "quoted_table_name": "\"m4\"",
+  "row_count": 2772,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sex",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bmi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "smoker",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "charges",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "19",
+      "sex": "female",
+      "bmi": "27.9",
+      "children": "0",
+      "smoker": "yes",
+      "region": "southwest",
+      "charges": "16884.924"
+    },
+    {
+      "age": "18",
+      "sex": "male",
+      "bmi": "33.77",
+      "children": "1",
+      "smoker": "no",
+      "region": "southeast",
+      "charges": "1725.5523"
+    },
+    {
+      "age": "28",
+      "sex": "male",
+      "bmi": "33",
+      "children": "3",
+      "smoker": "no",
+      "region": "southeast",
+      "charges": "4449.462"
+    },
+    {
+      "age": "33",
+      "sex": "male",
+      "bmi": "22.705",
+      "children": "0",
+      "smoker": "no",
+      "region": "northwest",
+      "charges": "21984.47061"
+    },
+    {
+      "age": "32",
+      "sex": "male",
+      "bmi": "28.88",
+      "children": "0",
+      "smoker": "no",
+      "region": "northwest",
+      "charges": "3866.8552"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "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};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m4",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "children",
+    "top_k": 11,
+    "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": 34.77,
+    "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\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,178 @@
+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: m4
+- dataset_name: Medical Insurance Charges
+- table_name: m4
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one insured individual/profile with associated medical insurance charge.
+- task_type: regression
+- target_column: charges
+- main_row_count: 2772
+- important_fields:
+- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years.
+- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category.
+- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index.
+- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children.
+- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status.
+- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category.
+- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges.
+- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']]
+- fields_requiring_caution: ['charges', 'smoker', 'sex']
+- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data
+
+SQLite schema snapshot:
+{
+  "table_name": "m4",
+  "quoted_table_name": "\"m4\"",
+  "row_count": 2772,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sex",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bmi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "smoker",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "charges",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "19",
+      "sex": "female",
+      "bmi": "27.9",
+      "children": "0",
+      "smoker": "yes",
+      "region": "southwest",
+      "charges": "16884.924"
+    },
+    {
+      "age": "18",
+      "sex": "male",
+      "bmi": "33.77",
+      "children": "1",
+      "smoker": "no",
+      "region": "southeast",
+      "charges": "1725.5523"
+    },
+    {
+      "age": "28",
+      "sex": "male",
+      "bmi": "33",
+      "children": "3",
+      "smoker": "no",
+      "region": "southeast",
+      "charges": "4449.462"
+    },
+    {
+      "age": "33",
+      "sex": "male",
+      "bmi": "22.705",
+      "children": "0",
+      "smoker": "no",
+      "region": "northwest",
+      "charges": "21984.47061"
+    },
+    {
+      "age": "32",
+      "sex": "male",
+      "bmi": "28.88",
+      "children": "0",
+      "smoker": "no",
+      "region": "northwest",
+      "charges": "3866.8552"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "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};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m4",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "children",
+    "top_k": 11,
+    "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": 34.77,
+    "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\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-b6c3-74c2-8711-bed179233b2d"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-b6c3-74c2-8711-bed179233b2d"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}