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Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:21:47.859520+00:00",
+  "ended_at": "2026-05-19T16:21:55.555262+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_00387b03f2f91c96",
+    "problem_id": "v2p_m11_ba717be506fb35bd",
+    "dataset_id": "m11",
+    "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=Vehicle_Damage, measure_col=Region_Code.",
+    "bindings": {
+      "group_col": "Vehicle_Damage",
+      "measure_col": "Region_Code",
+      "top_k": 11,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 24.0,
+      "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=3",
+      "sql_variant_index=1/2",
+      "binding_index=86"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:21:51.191201+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": 3320.75, "started_at": "2026-05-19T16:21:47.869671+00:00", "ended_at": "2026-05-19T16:21:51.190454+00:00", "prompt_metrics": {"chars": 7987, "bytes_utf8": 7987, "lines": 240, "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\":\"019e410b-1de8-7df0-824b-f726ca8d36dd\"}\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": "2026-05-19T16:21:55.555143+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": 3361.92, "started_at": "2026-05-19T16:21:52.192310+00:00", "ended_at": "2026-05-19T16:21:55.554260+00:00", "prompt_metrics": {"chars": 7987, "bytes_utf8": 7987, "lines": 240, "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\":\"019e410b-2edc-73e0-ab92-d2a7f1e69bfc\"}\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_f/m11/artifacts/v2q_m11_00a142c01d928022/run_manifest.json

@@ -0,0 +1,73 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:15:46.992697+00:00",
+  "ended_at": "2026-05-19T16:15:55.591083+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_00a142c01d928022",
+    "problem_id": "v2p_m11_871ae250b7fa6721",
+    "dataset_id": "m11",
+    "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=Gender, group_col_2=Policy_Sales_Channel.",
+    "bindings": {
+      "group_col": "Gender",
+      "group_col_2": "Policy_Sales_Channel",
+      "predicate_col": "Driving_License",
+      "predicate_op": "=",
+      "predicate_value": "0",
+      "top_k": 11,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 51539.0,
+      "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=4",
+      "sql_variant_index=1/1",
+      "binding_index=51"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "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_f/m11/artifacts/v2q_m11_00a142c01d928022/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:15:50.965755+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": 3961.56, "started_at": "2026-05-19T16:15:47.003404+00:00", "ended_at": "2026-05-19T16:15:50.965032+00:00", "prompt_metrics": {"chars": 8128, "bytes_utf8": 8128, "lines": 244, "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\":\"019e4105-9c4e-77d3-a9d0-8748927f980b\"}\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": "2026-05-19T16:15:55.590957+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": 3622.66, "started_at": "2026-05-19T16:15:51.967582+00:00", "ended_at": "2026-05-19T16:15:55.590285+00:00", "prompt_metrics": {"chars": 8128, "bytes_utf8": 8128, "lines": 244, "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\":\"019e4105-afaf-7ef3-acfd-048370a78cbc\"}\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_f/m11/artifacts/v2q_m11_00ff11295d175ab8/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:32:10.588866+00:00",
+  "ended_at": "2026-05-19T16:32:18.472210+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_00ff11295d175ab8",
+    "problem_id": "v2p_m11_d0a702d9106fe9c3",
+    "dataset_id": "m11",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "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 Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Gender, measure_col=Region_Code.",
+    "bindings": {
+      "group_col": "Gender",
+      "measure_col": "Region_Code",
+      "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": 24.0,
+      "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=140"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 9,
+    "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_f/m11/artifacts/v2q_m11_00ff11295d175ab8/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:32:14.120571+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": 3511.12, "started_at": "2026-05-19T16:32:10.608188+00:00", "ended_at": "2026-05-19T16:32:14.119351+00:00", "prompt_metrics": {"chars": 7878, "bytes_utf8": 7878, "lines": 240, "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\":\"019e4114-9ef6-7a93-a38f-e4b60da42af1\"}\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": "2026-05-19T16:32:18.472080+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": 3348.26, "started_at": "2026-05-19T16:32:15.122733+00:00", "ended_at": "2026-05-19T16:32:18.471078+00:00", "prompt_metrics": {"chars": 7878, "bytes_utf8": 7878, "lines": 240, "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\":\"019e4114-b091-7f62-a2cd-6896546ae913\"}\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_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:27:14.194804+00:00",
+  "ended_at": "2026-05-19T16:27:21.552528+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_03a3abdf1faf674f",
+    "problem_id": "v2p_m11_09687981edf16e5d",
+    "dataset_id": "m11",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Policy_Sales_Channel.",
+    "bindings": {
+      "measure_col": "Policy_Sales_Channel",
+      "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": 152.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=112"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:27:17.379175+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3163.69, "started_at": "2026-05-19T16:27:14.214166+00:00", "ended_at": "2026-05-19T16:27:17.377897+00:00", "prompt_metrics": {"chars": 7752, "bytes_utf8": 7752, "lines": 238, "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\":\"019e4110-1917-70f1-8201-1e30fa4f2a79\"}\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": "2026-05-19T16:27:21.552415+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": 3170.25, "started_at": "2026-05-19T16:27:18.381090+00:00", "ended_at": "2026-05-19T16:27:21.551405+00:00", "prompt_metrics": {"chars": 7752, "bytes_utf8": 7752, "lines": 238, "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\":\"019e4110-2971-7ba1-b7f8-c5b43b771885\"}\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_f/m11/artifacts/v2q_m11_03b0b515df75fb75/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "1-2 Year", "support": 200316, "support_share": 0.5256134071879699, "cumulative_support": 200316}, {"value_label": "< 1 Year", "support": 164786, "support_share": 0.4323854855172667, "cumulative_support": 365102}, {"value_label": "> 2 Years", "support": 16007, "support_share": 0.04200110729476344, "cumulative_support": 381109}]}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03b0b515df75fb75/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_f
+-- sql_source_dataset_id: m11
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m11_03b0b515df75fb75
+-- problem_id: v2p_m11_7548eadd90f2e5de
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "Vehicle_Age" AS value_label, COUNT(*) AS support
+    FROM "m11"
+    GROUP BY "Vehicle_Age"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03b0b515df75fb75/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_f\n-- sql_source_dataset_id: m11\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m11_03b0b515df75fb75\n-- problem_id: v2p_m11_7548eadd90f2e5de\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"Vehicle_Age\" AS value_label, COUNT(*) AS support\n    FROM \"m11\"\n    GROUP BY \"Vehicle_Age\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_f\\n-- sql_source_dataset_id: m11\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m11_03b0b515df75fb75\\n-- problem_id: v2p_m11_7548eadd90f2e5de\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"Vehicle_Age\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m11\\\"\\n    GROUP BY \\\"Vehicle_Age\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"1-2 Year\", \"support\": 200316, \"support_share\": 0.5256134071879699, \"cumulative_support\": 200316}, {\"value_label\": \"< 1 Year\", \"support\": 164786, \"support_share\": 0.4323854855172667, \"cumulative_support\": 365102}, {\"value_label\": \"> 2 Years\", \"support\": 16007, \"support_share\": 0.04200110729476344, \"cumulative_support\": 381109}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 156.44}"}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03b0b515df75fb75/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:32:27.160356+00:00",
+  "ended_at": "2026-05-19T16:32:27.318743+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_03b0b515df75fb75",
+    "problem_id": "v2p_m11_7548eadd90f2e5de",
+    "dataset_id": "m11",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Age.",
+    "bindings": {
+      "group_col": "Vehicle_Age"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m11/sql/v2q_m11_03b0b515df75fb75.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_f/m11/artifacts/v2q_m11_03b0b515df75fb75/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_f/m11/artifacts/v2q_m11_045f581afabc46b4/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:30:54.066479+00:00",
+  "ended_at": "2026-05-19T16:31:01.630535+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_045f581afabc46b4",
+    "problem_id": "v2p_m11_756847af0428bb14",
+    "dataset_id": "m11",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "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 Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Vehicle_Age, measure_col=Annual_Premium.",
+    "bindings": {
+      "group_col": "Vehicle_Age",
+      "measure_col": "Annual_Premium",
+      "top_k": 15,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 43912.76,
+      "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=135"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 4,
+    "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_f/m11/artifacts/v2q_m11_045f581afabc46b4/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:30:57.309761+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": 3225.94, "started_at": "2026-05-19T16:30:54.082876+00:00", "ended_at": "2026-05-19T16:30:57.308854+00:00", "prompt_metrics": {"chars": 7898, "bytes_utf8": 7898, "lines": 240, "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\":\"019e4113-73da-79e1-98a6-5b1857df8491\"}\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": "2026-05-19T16:31:01.630306+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": 3317.05, "started_at": "2026-05-19T16:30:58.311513+00:00", "ended_at": "2026-05-19T16:31:01.628629+00:00", "prompt_metrics": {"chars": 7898, "bytes_utf8": 7898, "lines": 240, "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\":\"019e4113-847f-7cf1-b9cc-b1e6dcaba867\"}\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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/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": "2026-05-19T16:17:07.470710+00:00",
+  "ended_at": "2026-05-19T16:17:11.867819+00:00",
+  "elapsed_ms": 4397.05,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7967,
+    "bytes_utf8": 7967,
+    "lines": 238,
+    "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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/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": "2026-05-19T16:17:12.870818+00:00",
+  "ended_at": "2026-05-19T16:17:16.205341+00:00",
+  "elapsed_ms": 3334.45,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7967,
+    "bytes_utf8": 7967,
+    "lines": 238,
+    "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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,238 @@
+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: m11
+- dataset_name: Health Insurance Cross Sell Prediction
+- table_name: m11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`.
+- task_type: classification
+- target_column: Previously_Insured
+- main_row_count: 381109
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender.
+- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age.
+- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License.
+- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code.
+- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured.
+- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age.
+- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage.
+- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium.
+- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel.
+- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage.
+- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response.
+- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']]
+- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage']
+- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction
+
+SQLite schema snapshot:
+{
+  "table_name": "m11",
+  "quoted_table_name": "\"m11\"",
+  "row_count": 381109,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Gender",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Driving_License",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region_Code",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Previously_Insured",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Damage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Annual_Premium",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vintage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Response",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "1",
+      "Gender": "Male",
+      "Age": "44",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "40454.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "217",
+      "Response": "1"
+    },
+    {
+      "id": "2",
+      "Gender": "Male",
+      "Age": "76",
+      "Driving_License": "1",
+      "Region_Code": "3.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "1-2 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "33536.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "183",
+      "Response": "0"
+    },
+    {
+      "id": "3",
+      "Gender": "Male",
+      "Age": "47",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "38294.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "27",
+      "Response": "1"
+    },
+    {
+      "id": "4",
+      "Gender": "Male",
+      "Age": "21",
+      "Driving_License": "1",
+      "Region_Code": "11.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "28619.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "203",
+      "Response": "0"
+    },
+    {
+      "id": "5",
+      "Gender": "Female",
+      "Age": "29",
+      "Driving_License": "1",
+      "Region_Code": "41.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "27496.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "39",
+      "Response": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m11",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "Region_Code",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 24.0,
+    "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 buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,238 @@
+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: m11
+- dataset_name: Health Insurance Cross Sell Prediction
+- table_name: m11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`.
+- task_type: classification
+- target_column: Previously_Insured
+- main_row_count: 381109
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender.
+- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age.
+- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License.
+- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code.
+- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured.
+- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age.
+- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage.
+- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium.
+- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel.
+- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage.
+- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response.
+- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']]
+- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage']
+- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction
+
+SQLite schema snapshot:
+{
+  "table_name": "m11",
+  "quoted_table_name": "\"m11\"",
+  "row_count": 381109,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Gender",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Driving_License",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region_Code",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Previously_Insured",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Damage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Annual_Premium",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vintage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Response",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "1",
+      "Gender": "Male",
+      "Age": "44",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "40454.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "217",
+      "Response": "1"
+    },
+    {
+      "id": "2",
+      "Gender": "Male",
+      "Age": "76",
+      "Driving_License": "1",
+      "Region_Code": "3.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "1-2 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "33536.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "183",
+      "Response": "0"
+    },
+    {
+      "id": "3",
+      "Gender": "Male",
+      "Age": "47",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "38294.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "27",
+      "Response": "1"
+    },
+    {
+      "id": "4",
+      "Gender": "Male",
+      "Age": "21",
+      "Driving_License": "1",
+      "Region_Code": "11.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "28619.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "203",
+      "Response": "0"
+    },
+    {
+      "id": "5",
+      "Gender": "Female",
+      "Age": "29",
+      "Driving_License": "1",
+      "Region_Code": "41.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "27496.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "39",
+      "Response": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m11",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "Region_Code",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 24.0,
+    "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 buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-d6e9-7773-bb8d-83184fe3fe3e"}
+{"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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-d6e9-7773-bb8d-83184fe3fe3e"}
+{"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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-ec46-7160-aa2e-3deae64c3e34"}
+{"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_f/m11/artifacts/v2q_m11_06437ae3f9fb656b/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-ec46-7160-aa2e-3deae64c3e34"}
+{"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_f/m11/artifacts/v2q_m11_07a9acc2da849254/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:24:33.491085+00:00",
+  "ended_at": "2026-05-19T16:24:42.557022+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_07a9acc2da849254",
+    "problem_id": "v2p_m11_743f3a35050b5e77",
+    "dataset_id": "m11",
+    "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=Policy_Sales_Channel, condition_col=Driving_License.",
+    "bindings": {
+      "group_col": "Policy_Sales_Channel",
+      "condition_col": "Driving_License",
+      "condition_value": "1",
+      "positive_value": "1",
+      "negative_value": "0",
+      "top_k": 12,
+      "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": 49.0,
+      "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=2",
+      "sql_variant_index=1/2",
+      "binding_index=97"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:24:36.987178+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": 3478.39, "started_at": "2026-05-19T16:24:33.507636+00:00", "ended_at": "2026-05-19T16:24:36.986074+00:00", "prompt_metrics": {"chars": 8064, "bytes_utf8": 8064, "lines": 243, "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\":\"019e410d-a588-78a2-8e2d-0c7438a2ef27\"}\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": "2026-05-19T16:24:42.556783+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": 4566.2, "started_at": "2026-05-19T16:24:37.988642+00:00", "ended_at": "2026-05-19T16:24:42.554915+00:00", "prompt_metrics": {"chars": 8064, "bytes_utf8": 8064, "lines": 243, "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\":\"019e410d-b6c9-7282-9656-15a3b5c57b5f\"}\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_f/m11/artifacts/v2q_m11_07c0356f94fa8726/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:10:09.811168+00:00",
+  "ended_at": "2026-05-19T16:10:16.735764+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_07c0356f94fa8726",
+    "problem_id": "v2p_m11_27950d7dde2e3cc2",
+    "dataset_id": "m11",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Vintage, measure_col=Region_Code.",
+    "bindings": {
+      "group_col": "Vintage",
+      "measure_col": "Region_Code",
+      "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": 24.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=8"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 9,
+    "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_f/m11/artifacts/v2q_m11_07c0356f94fa8726/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:10:12.501577+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": 2678.22, "started_at": "2026-05-19T16:10:09.822482+00:00", "ended_at": "2026-05-19T16:10:12.500737+00:00", "prompt_metrics": {"chars": 7794, "bytes_utf8": 7794, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-7715-7dc3-b3d8-f100f5ea2279\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:10:16.735678+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": 3232.0, "started_at": "2026-05-19T16:10:13.502946+00:00", "ended_at": "2026-05-19T16:10:16.734984+00:00", "prompt_metrics": {"chars": 7794, "bytes_utf8": 7794, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-859f-7ac1-a660-58c99fdbf3d5\"}\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_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.
+Result preview: [{"Region_Code": "28.0", "total_measure": 4114947295.0}, {"Region_Code": "8.0", "total_measure": 1235425936.0}, {"Region_Code": "41.0", "total_measure": 565223915.0}, {"Region_Code": "46.0", "total_measure": 537311455.0}, {"Region_Code": "15.0", "total_measure": 394243123.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_f
+-- sql_source_dataset_id: m11
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m11_0886f8dfc0f94dba
+-- problem_id: v2p_m11_d5e2768d6d41b599
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Region_Code", SUM(CAST("Annual_Premium" AS REAL)) AS "total_measure"
+FROM "m11"
+GROUP BY "Region_Code"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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_h2o_group_sum\nSELECT \"Region_Code\", SUM(CAST(\"Annual_Premium\" AS REAL)) AS \"total_measure\"\nFROM \"m11\"\nGROUP BY \"Region_Code\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region_Code\\\", SUM(CAST(\\\"Annual_Premium\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m11\\\"\\nGROUP BY \\\"Region_Code\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Region_Code\", \"total_measure\"], \"rows\": [{\"Region_Code\": \"28.0\", \"total_measure\": 4114947295.0}, {\"Region_Code\": \"8.0\", \"total_measure\": 1235425936.0}, {\"Region_Code\": \"41.0\", \"total_measure\": 565223915.0}, {\"Region_Code\": \"46.0\", \"total_measure\": 537311455.0}, {\"Region_Code\": \"15.0\", \"total_measure\": 394243123.0}, {\"Region_Code\": \"29.0\", \"total_measure\": 325471573.0}, {\"Region_Code\": \"50.0\", \"total_measure\": 317073082.0}, {\"Region_Code\": \"30.0\", \"total_measure\": 310667512.0}, {\"Region_Code\": \"36.0\", \"total_measure\": 258423010.0}, {\"Region_Code\": \"11.0\", \"total_measure\": 254870438.0}, {\"Region_Code\": \"3.0\", \"total_measure\": 226875972.0}, {\"Region_Code\": \"47.0\", \"total_measure\": 224750350.0}, {\"Region_Code\": \"33.0\", \"total_measure\": 212509112.0}, {\"Region_Code\": \"35.0\", \"total_measure\": 186274208.0}, {\"Region_Code\": \"6.0\", \"total_measure\": 157827408.0}, {\"Region_Code\": \"37.0\", \"total_measure\": 156789199.0}, {\"Region_Code\": \"45.0\", \"total_measure\": 141616518.0}, {\"Region_Code\": \"18.0\", \"total_measure\": 138164644.0}, {\"Region_Code\": \"39.0\", \"total_measure\": 124843253.0}, {\"Region_Code\": \"14.0\", \"total_measure\": 120725557.0}, {\"Region_Code\": \"10.0\", \"total_measure\": 109463373.0}, {\"Region_Code\": \"2.0\", \"total_measure\": 108845149.0}, {\"Region_Code\": \"21.0\", \"total_measure\": 107536857.0}, {\"Region_Code\": \"13.0\", \"total_measure\": 99736914.0}, {\"Region_Code\": \"9.0\", \"total_measure\": 87972692.0}, {\"Region_Code\": \"7.0\", \"total_measure\": 83504391.0}, {\"Region_Code\": \"17.0\", \"total_measure\": 82402737.0}, {\"Region_Code\": \"26.0\", \"total_measure\": 75524584.0}, {\"Region_Code\": \"12.0\", \"total_measure\": 74980278.0}, {\"Region_Code\": \"43.0\", \"total_measure\": 68795476.0}, {\"Region_Code\": \"32.0\", \"total_measure\": 67174324.0}, {\"Region_Code\": \"27.0\", \"total_measure\": 64530030.0}, {\"Region_Code\": \"25.0\", \"total_measure\": 64300561.0}, {\"Region_Code\": \"24.0\", \"total_measure\": 62229704.0}, {\"Region_Code\": \"38.0\", \"total_measure\": 47399284.0}, {\"Region_Code\": \"16.0\", \"total_measure\": 46284419.0}, {\"Region_Code\": \"23.0\", \"total_measure\": 45619332.0}, {\"Region_Code\": \"34.0\", \"total_measure\": 44427345.0}, {\"Region_Code\": \"49.0\", \"total_measure\": 43133850.0}, {\"Region_Code\": \"4.0\", \"total_measure\": 42497164.0}, {\"Region_Code\": \"19.0\", \"total_measure\": 40793355.0}, {\"Region_Code\": \"40.0\", \"total_measure\": 34172071.0}, {\"Region_Code\": \"22.0\", \"total_measure\": 32456586.0}, {\"Region_Code\": \"5.0\", \"total_measure\": 30784429.0}, {\"Region_Code\": \"44.0\", \"total_measure\": 19748792.0}, {\"Region_Code\": \"42.0\", \"total_measure\": 14611944.0}, {\"Region_Code\": \"48.0\", \"total_measure\": 12624575.0}, {\"Region_Code\": \"52.0\", \"total_measure\": 8099296.0}, {\"Region_Code\": \"0.0\", \"total_measure\": 6159096.0}, {\"Region_Code\": \"20.0\", \"total_measure\": 5382483.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 219.91}"}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:08:43.504191+00:00",
+  "ended_at": "2026-05-19T16:08:56.320463+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_0886f8dfc0f94dba",
+    "problem_id": "v2p_m11_d5e2768d6d41b599",
+    "dataset_id": "m11",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.",
+    "bindings": {
+      "group_col": "Region_Code",
+      "measure_col": "Annual_Premium",
+      "top_k": 18,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 43912.76,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=3"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 4,
+    "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_f/m11/sql/v2q_m11_0886f8dfc0f94dba.sql",
+  "usage_summary": {
+    "dataset_id": "m11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m11_0886f8dfc0f94dba",
+    "api_calls": 0,
+    "input_tokens": 14334,
+    "cached_input_tokens": 12032,
+    "output_tokens": 346,
+    "total_tokens": 14680,
+    "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": 11579.55,
+    "sql_execution_elapsed_ms_total": 219.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:08:46.284125+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": 2767.85, "started_at": "2026-05-19T16:08:43.515506+00:00", "ended_at": "2026-05-19T16:08:46.283377+00:00", "prompt_metrics": {"chars": 7814, "bytes_utf8": 7814, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-25f1-7982-9f22-2500b595616d\"}\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": "2026-05-19T16:08:56.097536+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": 8811.7, "started_at": "2026-05-19T16:08:47.285039+00:00", "ended_at": "2026-05-19T16:08:56.096773+00:00", "prompt_metrics": {"chars": 7814, "bytes_utf8": 7814, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14334, "cached_input_tokens": 12032, "output_tokens": 346, "reasoning_output_tokens": 240}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region_Code\\\", SUM(CAST(\\\"Annual_Premium\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m11\\\"\\nGROUP BY \\\"Region_Code\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"Region_Code\\\" and measure_col=\\\"Annual_Premium\\\". Cast \\\"Annual_Premium\\\" to REAL because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m11",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m11_0886f8dfc0f94dba",
+  "api_calls": 0,
+  "input_tokens": 14334,
+  "cached_input_tokens": 12032,
+  "output_tokens": 346,
+  "total_tokens": 14680,
+  "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": 11579.55,
+  "sql_execution_elapsed_ms_total": 219.91,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0a3e7461ce5df75e/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:11:11.652917+00:00",
+  "ended_at": "2026-05-19T16:11:18.963514+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_0a3e7461ce5df75e",
+    "problem_id": "v2p_m11_0897bea450b23c7b",
+    "dataset_id": "m11",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vintage.",
+    "bindings": {
+      "group_col": "Vintage",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 340589.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=18"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0a3e7461ce5df75e/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:11:15.119913+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": 3451.33, "started_at": "2026-05-19T16:11:11.667863+00:00", "ended_at": "2026-05-19T16:11:15.119223+00:00", "prompt_metrics": {"chars": 7702, "bytes_utf8": 7702, "lines": 238, "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\":\"019e4101-68bb-7033-8db4-19dc5388c831\"}\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": "2026-05-19T16:11:18.963398+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": 2841.76, "started_at": "2026-05-19T16:11:16.120706+00:00", "ended_at": "2026-05-19T16:11:18.962491+00:00", "prompt_metrics": {"chars": 7702, "bytes_utf8": 7702, "lines": 238, "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\":\"019e4101-7a0c-7a80-b64c-f69fefa3e13b\"}\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_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:26:43.092198+00:00",
+  "ended_at": "2026-05-19T16:26:50.799463+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_0ba271a214fca5ff",
+    "problem_id": "v2p_m11_a0e0ee8ccd74a72d",
+    "dataset_id": "m11",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.",
+    "bindings": {
+      "measure_col": "id",
+      "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": 340589.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=108"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:26:46.536842+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": 3423.02, "started_at": "2026-05-19T16:26:43.112795+00:00", "ended_at": "2026-05-19T16:26:46.535864+00:00", "prompt_metrics": {"chars": 7719, "bytes_utf8": 7719, "lines": 238, "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\":\"019e410f-9fbe-7e51-a83a-32d56cd5395c\"}\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": "2026-05-19T16:26:50.799337+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": 3260.05, "started_at": "2026-05-19T16:26:47.538287+00:00", "ended_at": "2026-05-19T16:26:50.798396+00:00", "prompt_metrics": {"chars": 7719, "bytes_utf8": 7719, "lines": 238, "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\":\"019e410f-b0f9-7c90-b1dc-ffd2b1106aab\"}\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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/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": "2026-05-19T16:10:47.818949+00:00",
+  "ended_at": "2026-05-19T16:10:51.845111+00:00",
+  "elapsed_ms": 4026.14,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7708,
+    "bytes_utf8": 7708,
+    "lines": 238,
+    "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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/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": "2026-05-19T16:10:52.847885+00:00",
+  "ended_at": "2026-05-19T16:10:56.125744+00:00",
+  "elapsed_ms": 3277.81,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7708,
+    "bytes_utf8": 7708,
+    "lines": 238,
+    "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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,238 @@
+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: m11
+- dataset_name: Health Insurance Cross Sell Prediction
+- table_name: m11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`.
+- task_type: classification
+- target_column: Previously_Insured
+- main_row_count: 381109
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender.
+- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age.
+- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License.
+- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code.
+- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured.
+- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age.
+- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage.
+- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium.
+- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel.
+- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage.
+- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response.
+- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']]
+- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage']
+- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction
+
+SQLite schema snapshot:
+{
+  "table_name": "m11",
+  "quoted_table_name": "\"m11\"",
+  "row_count": 381109,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Gender",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Driving_License",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region_Code",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Previously_Insured",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Damage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Annual_Premium",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vintage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Response",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "1",
+      "Gender": "Male",
+      "Age": "44",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "40454.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "217",
+      "Response": "1"
+    },
+    {
+      "id": "2",
+      "Gender": "Male",
+      "Age": "76",
+      "Driving_License": "1",
+      "Region_Code": "3.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "1-2 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "33536.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "183",
+      "Response": "0"
+    },
+    {
+      "id": "3",
+      "Gender": "Male",
+      "Age": "47",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "38294.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "27",
+      "Response": "1"
+    },
+    {
+      "id": "4",
+      "Gender": "Male",
+      "Age": "21",
+      "Driving_License": "1",
+      "Region_Code": "11.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "28619.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "203",
+      "Response": "0"
+    },
+    {
+      "id": "5",
+      "Gender": "Female",
+      "Age": "29",
+      "Driving_License": "1",
+      "Region_Code": "41.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "27496.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "39",
+      "Response": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m11",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vehicle_Age.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "Vehicle_Age",
+    "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": 51539.0,
+    "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": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,238 @@
+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: m11
+- dataset_name: Health Insurance Cross Sell Prediction
+- table_name: m11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`.
+- task_type: classification
+- target_column: Previously_Insured
+- main_row_count: 381109
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender.
+- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age.
+- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License.
+- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code.
+- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured.
+- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age.
+- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage.
+- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium.
+- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel.
+- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage.
+- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response.
+- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']]
+- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage']
+- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction
+
+SQLite schema snapshot:
+{
+  "table_name": "m11",
+  "quoted_table_name": "\"m11\"",
+  "row_count": 381109,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Gender",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Driving_License",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region_Code",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Previously_Insured",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vehicle_Damage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Annual_Premium",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Vintage",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Response",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "1",
+      "Gender": "Male",
+      "Age": "44",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "40454.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "217",
+      "Response": "1"
+    },
+    {
+      "id": "2",
+      "Gender": "Male",
+      "Age": "76",
+      "Driving_License": "1",
+      "Region_Code": "3.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "1-2 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "33536.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "183",
+      "Response": "0"
+    },
+    {
+      "id": "3",
+      "Gender": "Male",
+      "Age": "47",
+      "Driving_License": "1",
+      "Region_Code": "28.0",
+      "Previously_Insured": "0",
+      "Vehicle_Age": "> 2 Years",
+      "Vehicle_Damage": "Yes",
+      "Annual_Premium": "38294.0",
+      "Policy_Sales_Channel": "26.0",
+      "Vintage": "27",
+      "Response": "1"
+    },
+    {
+      "id": "4",
+      "Gender": "Male",
+      "Age": "21",
+      "Driving_License": "1",
+      "Region_Code": "11.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "28619.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "203",
+      "Response": "0"
+    },
+    {
+      "id": "5",
+      "Gender": "Female",
+      "Age": "29",
+      "Driving_License": "1",
+      "Region_Code": "41.0",
+      "Previously_Insured": "1",
+      "Vehicle_Age": "< 1 Year",
+      "Vehicle_Damage": "No",
+      "Annual_Premium": "27496.0",
+      "Policy_Sales_Channel": "152.0",
+      "Vintage": "39",
+      "Response": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m11",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vehicle_Age.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "Vehicle_Age",
+    "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": 51539.0,
+    "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": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-0b71-7943-a98a-d9e4c130afcf"}
+{"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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-0b71-7943-a98a-d9e4c130afcf"}
+{"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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-1f32-7613-b0f0-7829893b230d"}
+{"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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-1f32-7613-b0f0-7829893b230d"}
+{"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_f/m11/artifacts/v2q_m11_0ca66b14d93e046f/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m11",
+  "started_at": "2026-05-19T16:10:47.807273+00:00",
+  "ended_at": "2026-05-19T16:10:56.127031+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m11_0ca66b14d93e046f",
+    "problem_id": "v2p_m11_56830b7aaabaed50",
+    "dataset_id": "m11",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vehicle_Age.",
+    "bindings": {
+      "group_col": "Vehicle_Age",
+      "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": 51539.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=15"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}